Tujuan khusus dari penelitian ini adalah mengukur dampak pemberian perlakuan pemberdayaan sekolah... more Tujuan khusus dari penelitian ini adalah mengukur dampak pemberian perlakuan pemberdayaan sekolah Islam melalui pemberian motivasi guru dalam melaksanakan program pengembangan keprofesian berkelanjutan, peningkatkan kualitas dan kuantitas program pengembangan keprofesian berkelanjutan, peningkatkan kualitas dan kuantitas karya khususnya karya pengembangan penelitian tindakan kelas hingga berbentuk pelaporan hasil, peningkatan kemampuan pemilihan kesesuaian metode statistik dalam evaluasi pembelajaran dan penelitian tindakan kelas dengan penggunaan komputer. Tujuan tesebut diselesaikan menggunakan metode workshop dengan teknik presentasi materi dilanjutkan dengan diskusi, teknik klinik, dan pendampingan. Guru yang menjadi mitra berasal dari Sekolah Menengah Kejuruan (SMK) Nahdatul Ulama (NU) Ungaran Kabupaten Semarang yang dilaksanakan pada tahun 2018. Hasil capaian dari kegiatan program kemitraan masyarakat bagi guru SMK NU Ungaran tercermin dari para guru memiliki tren persepsi pos...
Tujuan khusus dari penelitian ini adalah mengukur dampak pemberian perlakuan pemberdayaan sekolah... more Tujuan khusus dari penelitian ini adalah mengukur dampak pemberian perlakuan pemberdayaan sekolah Islam melalui pemberian motivasi guru dalam melaksanakan program pengembangan keprofesian berkelanjutan, peningkatkan kualitas dan kuantitas program pengembangan keprofesian berkelanjutan, peningkatkan kualitas dan kuantitas karya khususnya karya pengembangan penelitian tindakan kelas hingga berbentuk pelaporan hasil, peningkatan kemampuan pemilihan kesesuaian metode statistik dalam evaluasi pembelajaran dan penelitian tindakan kelas dengan penggunaan komputer. Tujuan tesebut diselesaikan menggunakan metode workshop dengan teknik presentasi materi dilanjutkan dengan diskusi, teknik klinik, dan pendampingan. Guru yang menjadi mitra berasal dari Sekolah Menengah Kejuruan (SMK) Nahdatul Ulama (NU) Ungaran Kabupaten Semarang yang dilaksanakan pada tahun 2018. Hasil capaian dari kegiatan program kemitraan masyarakat bagi guru SMK NU Ungaran tercermin dari para guru memiliki tren persepsi pos...
Ijtimaiyya: Jurnal Pengembangan Masyarakat Islam , 2020
Zakat is one of the alternative instruments in reducing poverty in the region and also increasing... more Zakat is one of the alternative instruments in reducing poverty in the region and also increasing the impact on neighborhood area. These effects are commonly called spillover effects. The objective of this study is to analysis spatial dependence of zakat and poverty in Indonesia both globally and locally. To find out the spatial effect so that different regional characteristics have implications for the zakat potential and poverty of each region is different. In this study, spasial analysis uses global Moran's I and Local Indicator Association (LISA), this study uses secondary data sourced from the National Amil Zakat Agency (Baznas) and the Badan Pusat Statistik (BPS) the Republic of Indonesia. Based on the results of spatial dependence, the potential for zakat and poverty in Indonesia is significant and positive, this proves that each region concerned has both in terms of the potential for zakat and poverty. Abstrak Zakat dapat menjadi salah satu instrumen alternatif dalam menurunkan angka kemiskinan di suatu wilayah serta cenderung berdampak pada daerah sekitarnya, pengaruh efek ini biasa disebut efek spillover. Tujuan dari penelitian ini adalah mengetahui dependensi spasial potensi zakat dan kemiskinan di Indonesia baik secara global maupun lokal. Untuk mengetahui efek spasial dari perbedaan karakteristik wilayah berimplikasi pada potensi zakat dan kemiskinan masing
Increased connectivity between regions in Indonesia is believed to impact the productivity capaci... more Increased connectivity between regions in Indonesia is believed to impact the productivity capacity of each region, as well as its economic growth. Moreover, the influence of connectivity on the surrounding area is commonly known as the indirect effect (spillover effect). This effect can increase the number of products, goods and services used as production factors. The study aims to examine the effect of transportation infrastructure on economic growth. We used spatial modelling to estimate the impact of transportation infrastructure on the economy of 34 provinces in Indonesia in 2017. We applied the spatial lag of X model (SLX), spatial autoregressive model (SAR), spatial error model (SEM), spatial autoregressive combined model (SAC), spatial Durbin model (SDM), spatial Durbin error model (SDEM), and spatial autoregressive combined mixed model (SAC mixed). According to the estimation results, the SAC mixed model is the best spatial model, as it has the smallest value of the Akaike information criterion (AIC) and significant coefficients of ρ (rho) and λ (lambda) parameters. The results show that the indicators "bus stations", "domestic investment" and "for-eign investment" have a direct effect on the economic growth in 34 Indonesian provinces. In addition, we revealed the presence of indirect effects (spillovers) between provinces in Indonesia for the same variables. 912 оТРАСлеВые И МеЖоТРАСлеВые коМплекСы Ekonomika Regiona [Economy of Region], 16(3), 2020 www.economyofregion.com ОРИГИНАЛЬНАЯ СТАТЬЯ УДК: 332 А. Карим а) , Сухартоно б) , Д. Д. Прастийо в) а) государственный исламский университет «Валисонго», Семаранг, Индонезия а) Университет Мухаммадия Семаранг, Семаранг, Индонезия б, в) Технологический институт Сурабая, Сурабая, Индонезия а) https://orcid.org/0000-0002-7204-944X, [email protected] б) https://orcid.org/0000-0002-4194-7220 в) https://orcid.org/0000-0003-1194-769X Влияние пространственного спилловер-эффекта транспортной инфраструктуры на региональный рост Считается, что усиление связи между регионами Индонезии влияет как на производительность труда в каж-дом регионе, так и на экономический рост страны. Влияние существующих связей на прилегающую территорию приносит косвенные эффекты (спилловер-эффекты), например, увеличение количества продуктов, товаров и ус-луг, используемых в качестве факторов производства. Целью исследования является изучение спилловер-эффекта влияния транспортной инфраструктуры на экономический рост. Для оценки влияния транспортной инфра-структуры на экономику 34 провинций Индонезии в 2017 г. использована методика пространственного модели-рования. Применены модель пространственного лага X (SLX), пространственная авторегрессионная модель (SAR), модель пространственной ошибки (SEM), пространственная авторегрессионная комбинированную модель (SAC), пространственная модель Дарбина (SDM), пространственная модель ошибки Дарбина (SDEM) и смешанная про-странственная авторегрессионная комбинированная модель (смешанная SAC). Результаты оценки показали, что смешанная модель SAC является наиболее подходящей: эта пространственная модель имеет наименьшее значение информационного критерия Акаике (AIC) и значимые коэффициенты параметров ρ (ро) и λ (лямбда). Результаты показывают, что показатели «автобусные станции», «внутренние инвестиции» и «иностранные инвестиции» имеют прямое влияние на экономический рост в 34 индонезийских провинциях. Кроме того, мы выявили наличие косвенных спилловер-эффектов для тех же самых переменных в провинциях Индонезии. Ключевые слова: пространственная эконометрика, пространственный спилл-овер эффект, индекс Морана, пространственное моделирование, пространственная авторегрессия, модель пространственной ошибки, про-странственная модель Дарбина, пространственная модель ошибки Дарбина, транспортная инфраструктура, реги-ональная производительность Благодарность Статья подготовлена при финансовой поддержке Министерства исследований, технологий и высшего образо-вания Республики Индонезия (Схема национальных конкурентных исследований: грант на национальные совмест-ные исследования). Для цитирования: карим А., Сухартоно, прастийо Д. Д. Влияние пространственного спилл-овер эффекта транспортной инфраструктуры на экономический рост // Экономика региона. 2020. Т. 16, вып. 3. С. 911-920. https://doi.
Tujuan dari artikel ini yaitu membandingkan hasil prediksi support vector machine (SVM) dengan re... more Tujuan dari artikel ini yaitu membandingkan hasil prediksi support vector machine (SVM) dengan regresi linear. Data yang digunakan adalah data sekunder dari Badan Pusat Statistik (BPS) Republik Indonesia dimana persentase penduduk miskin sebagai variabel dependen dan indeks pembangunan manusia (IPM) sebagai variabel independen menurut provinsi di Indonesia pada tahun 2018. Hasil analisis regresi linear mengindikasikan bahwa nilai IPM memiliki tanda negatif terhadap persentase penduduk miskin di Indonesia, artinya peningkatan nilai IPM akan berdampak pada penurunan persentase penduduk miskin di Indonesia. Selanjutnya, hasil plot prediksi SVM menunjukkan titik-titik lebih banyak mendekati garis regresi dibandingkan titik-titik amatan regresi linear, selain itu nilai MSE SVM lebih kecil daripada regresi linear. Hal ini dapat disimpulkan bahwa prediksi SVM lebih baik dibandingkan dengan regresi linear. Kata Kunci: Kemiskinan; penduduk miskin; indeks pembangunan manusia; support vector machine; machine learning. ABSTRACT The objective of this article is to compare the prediction results of support vector machine (SVM) with linear regression. The data used are secondary data from the Central Statistics Agency (BPS) of the Republic of Indonesia where the percentage of poor people as the dependent variable and the human development index (HDI) as independent variables by province in Indonesia in 2018. The results of linear regression analysis indicate that the HDI value has a sign negative to the percentage of poor people in Indonesia, meaning that an increase in the value of HDI will have an impact on reducing the percentage of poor people in Indonesia. Furthermore, the results of the SVM prediction plot show more points approaching the regression line than the linear regression observation points, besides the SVE MSE value is smaller than linear regression. It can be concluded that SVM prediction is better than linear regression
The issue of the allocation and distribution of the School Operational Aid (BOS) in Central Java ... more The issue of the allocation and distribution of the School Operational Aid (BOS) in Central Java Province is a complex problem since each region has different characteristics. The distribution formulation requires a spatial model as the neighbouring regions have dependencies. The variables in this research were BOS value, supervision/building cost, management cost, Human Development Index (HDI) analysed using the Spatial Lag of X (SLX) model with the weighting of Rock Contiguity. It is concluded that all variables have a spatial dependency with the BOS variable influenced by the variables of building and management costs significantly.
The objective of this study is to reduce the number of indicators that affect correlated economic... more The objective of this study is to reduce the number of indicators that affect correlated economic growth into the main component variables. The variables used Gross Regional Domestic Product (GRDP) (X1), Foreign Direct Investment (X2), Domestic Direct Investment (X3), Employment (X4), Human Community (X5), Export (X6), and Import (X7). The data used are secondary data taken from Statistics Indonesia in 2018. This study uses the Geographical Weighted Principal Component Analysis (GWPCA) with the kernel weighting used is exponential kernel weighting. The results of this study are the main component variables or new variables that can be explained about 89% of the original variables. Based on the first main component (PC1) which consists of three groups of variables that affect economic growth indicators, namely: the area of which economic growth indicators are influenced by the Human Resources variable (X5) followed by the GRDP variable (X1), the region whose indicators of economic growth are influenced by the Export variable (X6) is followed by the Import variable (X7), and the region which is an indicator of economic growth is influenced by the Import variable (X7) is accepted by the Export variable (X6).
The objective of this program is to motivate teachers to carry out sustainable professional devel... more The objective of this program is to motivate teachers to carry out sustainable professional development programs, improve the quality and quantity of sustainable professional development programs, improve the quality and quantity of work, especially work on the development of classroom action research to form reporting results, increase the ability to choose the suitability of statistical methods in evaluation of learning and classroom action research using computers. These objectives were completed using the workshop method with presentation techniques, discussion, clinical, and mentoring. Teachers who become partners from the Nahdatul Ulama (NU) Vocational High School Ungaran Semarang which was held in 2018. The results of the community partnership program activities for NU Vocational High School teachers are reflected in the teachers having positive trends in perceptions of teacher career levels, sustainable professional development programs, and further understanding of classroom action research and learning evaluation. *** Tujuan khusus dari penelitian ini adalah mengukur dampak pemberian perlakuan pemberdayaan sekolah Islam melalui pemberian motivasi guru dalam melaksanakan program pengembangan keprofesian berkelanjutan, peningkatkan kualitas dan kuantitas program pengembangan keprofesian berkelanjutan, peningkatkan kualitas dan kuantitas karya khususnya karya pengembangan penelitian tindakan kelas hingga berbentuk pelaporan hasil, peningkatan kemampuan pemilihan kesesuaian metode statistik dalam evaluasi pembelajaran dan penelitian tindakan kelas dengan penggunaan komputer. Tujuan tesebut diselesaikan menggunakan metode workshop dengan teknik presentasi Journal homepage
Indonesia is an agricultural country with rice as one of the staple foods. Production of rice in ... more Indonesia is an agricultural country with rice as one of the staple foods. Production of rice in the province of Central Java is the highest in Indonesia. The purpose of this study was to model rice production in 31 districts/ cities in Central Java Province using semiparametric regression. Semiparametric regression is a combination of parametric and nonparametric regression. Parametric regression curves have a patterned, for example linear, quadratic, and cubic. Nonparametric regression has a smooth curve of the unknown pattern, so in this case required smoothing technique used to smooth curves that one of them is the local polynomial kernel approach and the election of bandwidth the optimal using method Generalized Cross Validation (GCV). Variables used in the study of the production of rice as the response variable, while the predictor variables that harvested area and rainfall. The data used are secondary data from the official website of Central Bureau of Statistics (BPS) of Central Java. Based on the results obtained by applying the model the optimal bandwidth values is 0.43 and polynomial order p =2 when the minimum GCV so the results of the estimation model R 2 is 0.968
The formulation of Indonesian school operational assistance is a complex issue, as each region ha... more The formulation of Indonesian school operational assistance is a complex issue, as each region has different characteristics. The aim of this research was to find out the mapping of the distribution of school operational assistance budget in Central Java Province, to develop the equalization model of Indonesian school operational assistance of Central Java Province using spatial through three spatial processes namely spatial lag X (SLX), spatial autoregressive (SAR), and spatial error model (SEM). Spatial modeling is expected to be a tool of educational development planning so that the development is more directed to equitable distribution of Indonesian school operational assistance in Central Java. The distribution of funds for the program is one form of government expenditures in the form of subsidies for the education sector as the compensation from reduced subsidies for fuel oil. The research results show that the SEM model is the best model, and the estimation results show that the school development budget, school management and human development index can significantly be a determinant of the distribution of Indonesian school operational assistance.
Rice is one of staple food in Central Java province because rice is the main carbohydrate and cal... more Rice is one of staple food in Central Java province because rice is the main carbohydrate and calorie source for society in general. From year to year rice production in various regions in Indonesia shows a significant increase. Central Java is one of the provinces in Indonesia which has the agricultural sector as its main sector. However, in the last five years, the average rice production in Central Java showed a stagnant decline in value. This study was aimed to model the spatial effects on rice productivity in the cities in Central Java along with the factors that influence it. The method used is spatial modeling approach. The results of the analysis show that spatial lag X (SLX) model has the smallest AIC value, estimation result shows that rice production and harvest area have significant effect on rice productivity in Central Java.
Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan, 2017
The important role of a region's transportation infrastructure strongly affects the economic grow... more The important role of a region's transportation infrastructure strongly affects the economic growth of the region and tends to affect the surrounding areas. The effect is called spillover effect. The aim of the research was to recognize the direct effect and spillover effect (indirect) of transportation infrastructure on the economic growth in Central Java. To identify the spillover effects, it is necessary to recognize the different characteristics of each region which have the implications on the various transportation infrastructures at each region in Central Java. Therefore, the spatial modeling was conducted. In this study, the spatial modeling employed was Spatial Durbin Error Model (SDEM). The SDEM is another form of Spatial Error Model (SEM). It does not allow for lag effects of endogenous variables, but it allows for spatial error and spatial lag on exogenous variables in which it simplifies the interpretations on direct effects and spillover effect. According to SDEM estimates, the transportation infrastructures at the districts/municipalities in Central Java had no significant effect on the outputs at each region where the infrastructures were located and their neighboring districts/cities.
Belajar mandiri menjelaskan proses di mana setiap individu mengambil inisiatif, dengan atau tanpa... more Belajar mandiri menjelaskan proses di mana setiap individu mengambil inisiatif, dengan atau tanpa bantuan orang lain, dalam mengidentifikasi kebutuhan belajar, merumuskan tujuan pembelajaran, mengidentifikasi manusia dan sumber daya materi untuk belajar, memilih dan menerapkan strategi pembelajaran yang tepat, dan mengevaluasi hasil belajar. Tujuan utama penelitian ini adalah mengetahui hubungan indikator-indikator yang membentuk masing-masing dimensi dari Belajar Mandiri melalui pembelajaran berbasis masalah pada mahasiswa S1 Program Studi Pendidikan Guru Sekolah Dasar (PGSD) Universitas Terbuka (UT) Kota Semarang semester 3 masa registrasi 2016/2017. Responden yang digunakan dalam penelitia ini sebanyak 79 mahasiswa. Data dianalisis secara deskriptif melalui reliabilitas (nilai Cronbach Alpha) untuk mengukur konsistensi variabel dan Confirmatory Factor Analysis (CFA) digunakan untuk menguji hubungan antara keterkaitan faktor yang membentuk variabel laten Belajar Mandiri. Hasilnya menunjukkan bahwa pengukuran Belajar Mandiri pada mahasiswa program studi S1 PGSD UPBJJ UT Semarang direpresentasikan oleh awareness, learning strategies, learning activities, evaluation, dan interpersonal skills. Hasil ini menyajikan bagaimana perspektif pembelajaran mandiri dalam kaitannya dengan pengalaman belajar mandiri. Artinya peserta didik diharapkan memiliki pengalaman dalam hal apa, bagaimana, dan mengapa mereka ingin belajar. Oleh karena itu, kajian kami dapat memberikan informasi dan motivasi serta preferensi sebagai pertimbangan dan pada akhirnya menghasilkan kualitas pembelajaran yang efektif. Kata kunci: belajar mandiri, pembelajaran berbasis masalah, confirmatory factor analysis
Prosiding Seminar Nasional Pendidikan, Sains dan Teknologi, 2017
Peran penting infrastruktur transportasi suatu daerah diduga kuat mempengaruhi pertumbuhan ekonom... more Peran penting infrastruktur transportasi suatu daerah diduga kuat mempengaruhi pertumbuhan ekonomi daerah tersebut serta cenderung berdampak pada daerah sekitarnya, pengaruh efek ini biasa disebut efek spillover. Tujuan dari penelitian ini adalah mengetahui seberapa besar pengaruh efek langsung infrastruktur transportasi terhadap Produk Domestik Regional Bruto (PDRB) di Jawa Tegah. Dalam penelitian ini, pemodelan spatial yang dilakukan adalah spatial autoregressive (SAR) dan spatial error model (SEM). Hasil estimasi menunjukkan, efek langsung infrastruktur transportasi kabupaten/kota di Jawa Tengah tidak berpengaruh signifikan terhadap output dari daerah di mana infrastruktur berada dan kabupaten/kota tetangganya.
Journal of Computational and Theoretical Nanoscience, 2017
The purpose of this paper determine the factors that affect rice production in Central Java for p... more The purpose of this paper determine the factors that affect rice production in Central Java for period 2009 to 2014 were analyzed in order to meet the objectives of this study. This study using spatial panel with two processes, spatial lag model and spatial error model. The result show that the best model for modeling the data of rice production in Central Java is the spatial lag random effects panel, where rho was significant. Here the results show that we observe a strong positive spatial spill over effect for production among neighboring regions. In addition, harvested area and productivity in rice production play an important role. That is, the rice production in the region is influenced by its rice production in an adjacent area, as well as influenced by the area harvested and productivity of the region.
Prosiding Seminar Nasional Pendidikan, Sains dan Teknologi , 2017
Human Development Index (HDI) is a comparative measurement of life expectancy, literacy, educatio... more Human Development Index (HDI) is a comparative measurement of life expectancy, literacy, education. A country that is said to be advanced can be reflected if one of its reference is the Human Development Index (HDI), which of course explains how much human development in a country. Indonesia has human resources that can be explored and explored to show a significant index of human development. The Human Development Index (IPM) is a composite index that is influenced by health indicators represented by life expectancy (AHH), education indicators represented by the average school length (RLS) and economic indicators represented by public purchasing power (PPP). Decentralization of Central Kalimantan Province is expected to make arrangements that can realize the life of the people of Central Kalimantan to be more prosperous and healthy. One of the elements in human development is to make the people to live longer and healthier lives. Data source used in this research is secondary data of HDI in Central Kalimantan obtained from Central Bureau of Statistics of Central Kalimantan Province 2014. Variable used in this research is endogenous variable (Y) and exogenous variable (X). Variable endogenus (Y) in the research that is HDI (percent) while the variable (X) in the study there are 3 that is Life Expectancy Numbers, Perkapita Revenue, Average Learning Length.Using OLS method and ROBUST method of both methods the best model that is on robotic method
PROCEEDING INTERNATIONAL SEMINAR ON EDUCATIONAL TECHNOLOGY 3RD , 2017
Central Java is considered potential to trigger an increase in national economic growth, the econ... more Central Java is considered potential to trigger an increase in national economic growth, the economic characteristics of Central Java is determined by agriculture, industry and trade, hotels and restaurants (PHR). Each region in Central Java has different characteristics, the western and southern regions are dominated by the agricultural sector, the northern region is dominated by PHR, while the east is dominated by the industrial sector. Based on these characteristics, it is necessary to do a spatial data-based analysis on GRDP data so that the above phenomena are modeled based on the economic characteristics of each region and know the relation of the region to each other in the context of the growth of Gross Regional Domestic Product (GRDP). Spatial regression is one of the solutions of the above problems, this method of development of regression analysis, spatial regression not only see the global effect also see the local effect. In this study using spatial regression with lag in independent variables, this model is called spatial lag X (SLX). result, it can be concluded that the human capital parameters give significant influence on OLS and SLX model. While in the SLX model only the weighted variable of labor has significant effect. Furthermore the best model is shown with the highest R2 value, the SLX model produces R2 of 0.64, so the best model obtained is the SLX model. Thus, it can be concluded that the GRDP value in a region in Central Java is influenced by the value of the human capital of the region as well as the labor of the nearest region.
Prosiding Seminar Nasional Pendidikan, Sains dan Teknologi , 2017
Abstrak One of the goals of SDGs (Sustainable Devloment Goals) on food security is to end hunger,... more Abstrak One of the goals of SDGs (Sustainable Devloment Goals) on food security is to end hunger, achieve food security, improve nutrition and promote sustainable agriculture. So that food security is an important concern for the government, especially on rice commodities. In 2013 West Java became the largest producer of production in Indonesia and one district which became the largest rice producing center in West Java is Indramayu District with total production of 1,435,938 tons. OLS (Ordinary Least Square) is a regression method that minimizes the number of quadratic errors. While robust regression is a regression method used when the distribution of the error is not normal or the existence of the influence of the model. In this research, it is found that robust method is better than OLS method.
Jurnal Statistika Universitas Muhammadiyah Semarang, 2017
ABSTRAK Indeks Pembangunan Manusia (IPM) atau Human Devlompent Index (HDI) merupakan indeks pemba... more ABSTRAK Indeks Pembangunan Manusia (IPM) atau Human Devlompent Index (HDI) merupakan indeks pembangunan manusia yang dipergunakan untuk pencapaian hasil dari pembangunan suatu daerah atau wilayah dalam tiga dimensi dasar pembangunan yaitu lamanya hidup, pengetahuan/tingkat pendidikan dan standar hidup layak. Dalam penelitian ini dilakukan pendeskripsian Indeks Pembangunan Manusia (IPM) dan faktor-faktor yang mempengaruhinya dari sudut pandang kewilayahan dengan matriks pembobot customaize, serta pemodelan Indeks Pembangunan Manusia (IPM) dengan menggunakan spatial Durbin Error Models. Hasil penelitian menunjukan bahwa penyebaran Indek Pembangunan Manusia di Provinsi Jawa Tengah mempunyai pola yang menyebar. Berdasarkan hubungan Indeks Pembangunan (IPM) dengan variabel yang mempengaruhinya yaitu Angka Harapan Hidup (AHH), Rata-rata Lama Sekolah (RLS), Harapan Lama Sekolah (HLS), dan Pengeluaran Perkapita yang Disesuaikan (PPDS) dapat diartikan bahwa persamaan dan perbedaan karakteristik pada setiap kabupaten/kota yang berdekatan dapat menimbulkan peningkatan atau penurunan Indeks Pembangunan Manusia di Provinsi Jawa Tengah. Model yang memenuhi evaluasi model spatial econometriks yaitu model SDEM (Spatial Durbin Error Models), dan variabel yang mempunyai efek tidak langsung adalah pengeluaran erkapita yang disesuaikan artinya Indeks Pembangunan Manusia disuatu wilayah dipengaruhi oleh pengeluaran perkapita yang disesuaikan pada wilayah tersebut dan wilayah lain yang memiliki karakteristik yang sama. Kata Kunci : Indeks Pembangunan Manusia, Spatial Error Model (SEM), Spatial Durbin Error Model (SDEM) PENDAHULUAN Human Devlompent Index (HDI) atau IPM merupakan indeks pembangunan manusia yang dipergunakan untuk pencapaian hasil pembangunan suatu wilayah yang terdiri dari tiga dimensi dasar pembangunan diantaranya adalah lama hidup, tingkat pendidikan/pengetahuan dan standar hidup yang layak. Indikator yang digunakan untuk mengukur dimensi kesehatan adalah angka harapan hidup waktu lahir. Angka harapan hidup juga digunakan sebagai tolak ukur rata-rata masa hidup daerah atau wilayah tersebut. Dimensi pengetahuan dapat diukur melalui gabungan indikator rata-rata lama sekolah dan harapan lama sekolah. Faktor terpenting dalam menunjang pembangunan adalah pendiddikan karena dari pendidikanlah manusia itu berkembang dan berfikir maju, fasilitas-falisitas pendidikan yang memadai dan
Proceeding Conference INTERNATIONAL SEMINAR ON EDUCATIONAL TECHNOLOGY 3RD, 2017
Industry, agriculture and THR sectors are some of the leading sectors in Central Java. Central Ja... more Industry, agriculture and THR sectors are some of the leading sectors in Central Java. Central Java with the capital city of Semarang City, is the third in Indonesia with the highest population in addition to West Java and East Java. Given the high population density and economic growth rate, it should also be followed by the sector's ability to absorb the available employment. Whereas in reality, the world of work or industry and professional associations often complain that the quality of staff (graduates) has not yet met the required skills demands (competencies). So the need for assessment of the absorption of employment from elementary school to upper for the planning of education system, so that education is more directed to education system oriented to the world of work appropriately and more efficiently with adequate amount and quality can absorbed.
Tujuan khusus dari penelitian ini adalah mengukur dampak pemberian perlakuan pemberdayaan sekolah... more Tujuan khusus dari penelitian ini adalah mengukur dampak pemberian perlakuan pemberdayaan sekolah Islam melalui pemberian motivasi guru dalam melaksanakan program pengembangan keprofesian berkelanjutan, peningkatkan kualitas dan kuantitas program pengembangan keprofesian berkelanjutan, peningkatkan kualitas dan kuantitas karya khususnya karya pengembangan penelitian tindakan kelas hingga berbentuk pelaporan hasil, peningkatan kemampuan pemilihan kesesuaian metode statistik dalam evaluasi pembelajaran dan penelitian tindakan kelas dengan penggunaan komputer. Tujuan tesebut diselesaikan menggunakan metode workshop dengan teknik presentasi materi dilanjutkan dengan diskusi, teknik klinik, dan pendampingan. Guru yang menjadi mitra berasal dari Sekolah Menengah Kejuruan (SMK) Nahdatul Ulama (NU) Ungaran Kabupaten Semarang yang dilaksanakan pada tahun 2018. Hasil capaian dari kegiatan program kemitraan masyarakat bagi guru SMK NU Ungaran tercermin dari para guru memiliki tren persepsi pos...
Tujuan khusus dari penelitian ini adalah mengukur dampak pemberian perlakuan pemberdayaan sekolah... more Tujuan khusus dari penelitian ini adalah mengukur dampak pemberian perlakuan pemberdayaan sekolah Islam melalui pemberian motivasi guru dalam melaksanakan program pengembangan keprofesian berkelanjutan, peningkatkan kualitas dan kuantitas program pengembangan keprofesian berkelanjutan, peningkatkan kualitas dan kuantitas karya khususnya karya pengembangan penelitian tindakan kelas hingga berbentuk pelaporan hasil, peningkatan kemampuan pemilihan kesesuaian metode statistik dalam evaluasi pembelajaran dan penelitian tindakan kelas dengan penggunaan komputer. Tujuan tesebut diselesaikan menggunakan metode workshop dengan teknik presentasi materi dilanjutkan dengan diskusi, teknik klinik, dan pendampingan. Guru yang menjadi mitra berasal dari Sekolah Menengah Kejuruan (SMK) Nahdatul Ulama (NU) Ungaran Kabupaten Semarang yang dilaksanakan pada tahun 2018. Hasil capaian dari kegiatan program kemitraan masyarakat bagi guru SMK NU Ungaran tercermin dari para guru memiliki tren persepsi pos...
Ijtimaiyya: Jurnal Pengembangan Masyarakat Islam , 2020
Zakat is one of the alternative instruments in reducing poverty in the region and also increasing... more Zakat is one of the alternative instruments in reducing poverty in the region and also increasing the impact on neighborhood area. These effects are commonly called spillover effects. The objective of this study is to analysis spatial dependence of zakat and poverty in Indonesia both globally and locally. To find out the spatial effect so that different regional characteristics have implications for the zakat potential and poverty of each region is different. In this study, spasial analysis uses global Moran's I and Local Indicator Association (LISA), this study uses secondary data sourced from the National Amil Zakat Agency (Baznas) and the Badan Pusat Statistik (BPS) the Republic of Indonesia. Based on the results of spatial dependence, the potential for zakat and poverty in Indonesia is significant and positive, this proves that each region concerned has both in terms of the potential for zakat and poverty. Abstrak Zakat dapat menjadi salah satu instrumen alternatif dalam menurunkan angka kemiskinan di suatu wilayah serta cenderung berdampak pada daerah sekitarnya, pengaruh efek ini biasa disebut efek spillover. Tujuan dari penelitian ini adalah mengetahui dependensi spasial potensi zakat dan kemiskinan di Indonesia baik secara global maupun lokal. Untuk mengetahui efek spasial dari perbedaan karakteristik wilayah berimplikasi pada potensi zakat dan kemiskinan masing
Increased connectivity between regions in Indonesia is believed to impact the productivity capaci... more Increased connectivity between regions in Indonesia is believed to impact the productivity capacity of each region, as well as its economic growth. Moreover, the influence of connectivity on the surrounding area is commonly known as the indirect effect (spillover effect). This effect can increase the number of products, goods and services used as production factors. The study aims to examine the effect of transportation infrastructure on economic growth. We used spatial modelling to estimate the impact of transportation infrastructure on the economy of 34 provinces in Indonesia in 2017. We applied the spatial lag of X model (SLX), spatial autoregressive model (SAR), spatial error model (SEM), spatial autoregressive combined model (SAC), spatial Durbin model (SDM), spatial Durbin error model (SDEM), and spatial autoregressive combined mixed model (SAC mixed). According to the estimation results, the SAC mixed model is the best spatial model, as it has the smallest value of the Akaike information criterion (AIC) and significant coefficients of ρ (rho) and λ (lambda) parameters. The results show that the indicators "bus stations", "domestic investment" and "for-eign investment" have a direct effect on the economic growth in 34 Indonesian provinces. In addition, we revealed the presence of indirect effects (spillovers) between provinces in Indonesia for the same variables. 912 оТРАСлеВые И МеЖоТРАСлеВые коМплекСы Ekonomika Regiona [Economy of Region], 16(3), 2020 www.economyofregion.com ОРИГИНАЛЬНАЯ СТАТЬЯ УДК: 332 А. Карим а) , Сухартоно б) , Д. Д. Прастийо в) а) государственный исламский университет «Валисонго», Семаранг, Индонезия а) Университет Мухаммадия Семаранг, Семаранг, Индонезия б, в) Технологический институт Сурабая, Сурабая, Индонезия а) https://orcid.org/0000-0002-7204-944X, [email protected] б) https://orcid.org/0000-0002-4194-7220 в) https://orcid.org/0000-0003-1194-769X Влияние пространственного спилловер-эффекта транспортной инфраструктуры на региональный рост Считается, что усиление связи между регионами Индонезии влияет как на производительность труда в каж-дом регионе, так и на экономический рост страны. Влияние существующих связей на прилегающую территорию приносит косвенные эффекты (спилловер-эффекты), например, увеличение количества продуктов, товаров и ус-луг, используемых в качестве факторов производства. Целью исследования является изучение спилловер-эффекта влияния транспортной инфраструктуры на экономический рост. Для оценки влияния транспортной инфра-структуры на экономику 34 провинций Индонезии в 2017 г. использована методика пространственного модели-рования. Применены модель пространственного лага X (SLX), пространственная авторегрессионная модель (SAR), модель пространственной ошибки (SEM), пространственная авторегрессионная комбинированную модель (SAC), пространственная модель Дарбина (SDM), пространственная модель ошибки Дарбина (SDEM) и смешанная про-странственная авторегрессионная комбинированная модель (смешанная SAC). Результаты оценки показали, что смешанная модель SAC является наиболее подходящей: эта пространственная модель имеет наименьшее значение информационного критерия Акаике (AIC) и значимые коэффициенты параметров ρ (ро) и λ (лямбда). Результаты показывают, что показатели «автобусные станции», «внутренние инвестиции» и «иностранные инвестиции» имеют прямое влияние на экономический рост в 34 индонезийских провинциях. Кроме того, мы выявили наличие косвенных спилловер-эффектов для тех же самых переменных в провинциях Индонезии. Ключевые слова: пространственная эконометрика, пространственный спилл-овер эффект, индекс Морана, пространственное моделирование, пространственная авторегрессия, модель пространственной ошибки, про-странственная модель Дарбина, пространственная модель ошибки Дарбина, транспортная инфраструктура, реги-ональная производительность Благодарность Статья подготовлена при финансовой поддержке Министерства исследований, технологий и высшего образо-вания Республики Индонезия (Схема национальных конкурентных исследований: грант на национальные совмест-ные исследования). Для цитирования: карим А., Сухартоно, прастийо Д. Д. Влияние пространственного спилл-овер эффекта транспортной инфраструктуры на экономический рост // Экономика региона. 2020. Т. 16, вып. 3. С. 911-920. https://doi.
Tujuan dari artikel ini yaitu membandingkan hasil prediksi support vector machine (SVM) dengan re... more Tujuan dari artikel ini yaitu membandingkan hasil prediksi support vector machine (SVM) dengan regresi linear. Data yang digunakan adalah data sekunder dari Badan Pusat Statistik (BPS) Republik Indonesia dimana persentase penduduk miskin sebagai variabel dependen dan indeks pembangunan manusia (IPM) sebagai variabel independen menurut provinsi di Indonesia pada tahun 2018. Hasil analisis regresi linear mengindikasikan bahwa nilai IPM memiliki tanda negatif terhadap persentase penduduk miskin di Indonesia, artinya peningkatan nilai IPM akan berdampak pada penurunan persentase penduduk miskin di Indonesia. Selanjutnya, hasil plot prediksi SVM menunjukkan titik-titik lebih banyak mendekati garis regresi dibandingkan titik-titik amatan regresi linear, selain itu nilai MSE SVM lebih kecil daripada regresi linear. Hal ini dapat disimpulkan bahwa prediksi SVM lebih baik dibandingkan dengan regresi linear. Kata Kunci: Kemiskinan; penduduk miskin; indeks pembangunan manusia; support vector machine; machine learning. ABSTRACT The objective of this article is to compare the prediction results of support vector machine (SVM) with linear regression. The data used are secondary data from the Central Statistics Agency (BPS) of the Republic of Indonesia where the percentage of poor people as the dependent variable and the human development index (HDI) as independent variables by province in Indonesia in 2018. The results of linear regression analysis indicate that the HDI value has a sign negative to the percentage of poor people in Indonesia, meaning that an increase in the value of HDI will have an impact on reducing the percentage of poor people in Indonesia. Furthermore, the results of the SVM prediction plot show more points approaching the regression line than the linear regression observation points, besides the SVE MSE value is smaller than linear regression. It can be concluded that SVM prediction is better than linear regression
The issue of the allocation and distribution of the School Operational Aid (BOS) in Central Java ... more The issue of the allocation and distribution of the School Operational Aid (BOS) in Central Java Province is a complex problem since each region has different characteristics. The distribution formulation requires a spatial model as the neighbouring regions have dependencies. The variables in this research were BOS value, supervision/building cost, management cost, Human Development Index (HDI) analysed using the Spatial Lag of X (SLX) model with the weighting of Rock Contiguity. It is concluded that all variables have a spatial dependency with the BOS variable influenced by the variables of building and management costs significantly.
The objective of this study is to reduce the number of indicators that affect correlated economic... more The objective of this study is to reduce the number of indicators that affect correlated economic growth into the main component variables. The variables used Gross Regional Domestic Product (GRDP) (X1), Foreign Direct Investment (X2), Domestic Direct Investment (X3), Employment (X4), Human Community (X5), Export (X6), and Import (X7). The data used are secondary data taken from Statistics Indonesia in 2018. This study uses the Geographical Weighted Principal Component Analysis (GWPCA) with the kernel weighting used is exponential kernel weighting. The results of this study are the main component variables or new variables that can be explained about 89% of the original variables. Based on the first main component (PC1) which consists of three groups of variables that affect economic growth indicators, namely: the area of which economic growth indicators are influenced by the Human Resources variable (X5) followed by the GRDP variable (X1), the region whose indicators of economic growth are influenced by the Export variable (X6) is followed by the Import variable (X7), and the region which is an indicator of economic growth is influenced by the Import variable (X7) is accepted by the Export variable (X6).
The objective of this program is to motivate teachers to carry out sustainable professional devel... more The objective of this program is to motivate teachers to carry out sustainable professional development programs, improve the quality and quantity of sustainable professional development programs, improve the quality and quantity of work, especially work on the development of classroom action research to form reporting results, increase the ability to choose the suitability of statistical methods in evaluation of learning and classroom action research using computers. These objectives were completed using the workshop method with presentation techniques, discussion, clinical, and mentoring. Teachers who become partners from the Nahdatul Ulama (NU) Vocational High School Ungaran Semarang which was held in 2018. The results of the community partnership program activities for NU Vocational High School teachers are reflected in the teachers having positive trends in perceptions of teacher career levels, sustainable professional development programs, and further understanding of classroom action research and learning evaluation. *** Tujuan khusus dari penelitian ini adalah mengukur dampak pemberian perlakuan pemberdayaan sekolah Islam melalui pemberian motivasi guru dalam melaksanakan program pengembangan keprofesian berkelanjutan, peningkatkan kualitas dan kuantitas program pengembangan keprofesian berkelanjutan, peningkatkan kualitas dan kuantitas karya khususnya karya pengembangan penelitian tindakan kelas hingga berbentuk pelaporan hasil, peningkatan kemampuan pemilihan kesesuaian metode statistik dalam evaluasi pembelajaran dan penelitian tindakan kelas dengan penggunaan komputer. Tujuan tesebut diselesaikan menggunakan metode workshop dengan teknik presentasi Journal homepage
Indonesia is an agricultural country with rice as one of the staple foods. Production of rice in ... more Indonesia is an agricultural country with rice as one of the staple foods. Production of rice in the province of Central Java is the highest in Indonesia. The purpose of this study was to model rice production in 31 districts/ cities in Central Java Province using semiparametric regression. Semiparametric regression is a combination of parametric and nonparametric regression. Parametric regression curves have a patterned, for example linear, quadratic, and cubic. Nonparametric regression has a smooth curve of the unknown pattern, so in this case required smoothing technique used to smooth curves that one of them is the local polynomial kernel approach and the election of bandwidth the optimal using method Generalized Cross Validation (GCV). Variables used in the study of the production of rice as the response variable, while the predictor variables that harvested area and rainfall. The data used are secondary data from the official website of Central Bureau of Statistics (BPS) of Central Java. Based on the results obtained by applying the model the optimal bandwidth values is 0.43 and polynomial order p =2 when the minimum GCV so the results of the estimation model R 2 is 0.968
The formulation of Indonesian school operational assistance is a complex issue, as each region ha... more The formulation of Indonesian school operational assistance is a complex issue, as each region has different characteristics. The aim of this research was to find out the mapping of the distribution of school operational assistance budget in Central Java Province, to develop the equalization model of Indonesian school operational assistance of Central Java Province using spatial through three spatial processes namely spatial lag X (SLX), spatial autoregressive (SAR), and spatial error model (SEM). Spatial modeling is expected to be a tool of educational development planning so that the development is more directed to equitable distribution of Indonesian school operational assistance in Central Java. The distribution of funds for the program is one form of government expenditures in the form of subsidies for the education sector as the compensation from reduced subsidies for fuel oil. The research results show that the SEM model is the best model, and the estimation results show that the school development budget, school management and human development index can significantly be a determinant of the distribution of Indonesian school operational assistance.
Rice is one of staple food in Central Java province because rice is the main carbohydrate and cal... more Rice is one of staple food in Central Java province because rice is the main carbohydrate and calorie source for society in general. From year to year rice production in various regions in Indonesia shows a significant increase. Central Java is one of the provinces in Indonesia which has the agricultural sector as its main sector. However, in the last five years, the average rice production in Central Java showed a stagnant decline in value. This study was aimed to model the spatial effects on rice productivity in the cities in Central Java along with the factors that influence it. The method used is spatial modeling approach. The results of the analysis show that spatial lag X (SLX) model has the smallest AIC value, estimation result shows that rice production and harvest area have significant effect on rice productivity in Central Java.
Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan, 2017
The important role of a region's transportation infrastructure strongly affects the economic grow... more The important role of a region's transportation infrastructure strongly affects the economic growth of the region and tends to affect the surrounding areas. The effect is called spillover effect. The aim of the research was to recognize the direct effect and spillover effect (indirect) of transportation infrastructure on the economic growth in Central Java. To identify the spillover effects, it is necessary to recognize the different characteristics of each region which have the implications on the various transportation infrastructures at each region in Central Java. Therefore, the spatial modeling was conducted. In this study, the spatial modeling employed was Spatial Durbin Error Model (SDEM). The SDEM is another form of Spatial Error Model (SEM). It does not allow for lag effects of endogenous variables, but it allows for spatial error and spatial lag on exogenous variables in which it simplifies the interpretations on direct effects and spillover effect. According to SDEM estimates, the transportation infrastructures at the districts/municipalities in Central Java had no significant effect on the outputs at each region where the infrastructures were located and their neighboring districts/cities.
Belajar mandiri menjelaskan proses di mana setiap individu mengambil inisiatif, dengan atau tanpa... more Belajar mandiri menjelaskan proses di mana setiap individu mengambil inisiatif, dengan atau tanpa bantuan orang lain, dalam mengidentifikasi kebutuhan belajar, merumuskan tujuan pembelajaran, mengidentifikasi manusia dan sumber daya materi untuk belajar, memilih dan menerapkan strategi pembelajaran yang tepat, dan mengevaluasi hasil belajar. Tujuan utama penelitian ini adalah mengetahui hubungan indikator-indikator yang membentuk masing-masing dimensi dari Belajar Mandiri melalui pembelajaran berbasis masalah pada mahasiswa S1 Program Studi Pendidikan Guru Sekolah Dasar (PGSD) Universitas Terbuka (UT) Kota Semarang semester 3 masa registrasi 2016/2017. Responden yang digunakan dalam penelitia ini sebanyak 79 mahasiswa. Data dianalisis secara deskriptif melalui reliabilitas (nilai Cronbach Alpha) untuk mengukur konsistensi variabel dan Confirmatory Factor Analysis (CFA) digunakan untuk menguji hubungan antara keterkaitan faktor yang membentuk variabel laten Belajar Mandiri. Hasilnya menunjukkan bahwa pengukuran Belajar Mandiri pada mahasiswa program studi S1 PGSD UPBJJ UT Semarang direpresentasikan oleh awareness, learning strategies, learning activities, evaluation, dan interpersonal skills. Hasil ini menyajikan bagaimana perspektif pembelajaran mandiri dalam kaitannya dengan pengalaman belajar mandiri. Artinya peserta didik diharapkan memiliki pengalaman dalam hal apa, bagaimana, dan mengapa mereka ingin belajar. Oleh karena itu, kajian kami dapat memberikan informasi dan motivasi serta preferensi sebagai pertimbangan dan pada akhirnya menghasilkan kualitas pembelajaran yang efektif. Kata kunci: belajar mandiri, pembelajaran berbasis masalah, confirmatory factor analysis
Prosiding Seminar Nasional Pendidikan, Sains dan Teknologi, 2017
Peran penting infrastruktur transportasi suatu daerah diduga kuat mempengaruhi pertumbuhan ekonom... more Peran penting infrastruktur transportasi suatu daerah diduga kuat mempengaruhi pertumbuhan ekonomi daerah tersebut serta cenderung berdampak pada daerah sekitarnya, pengaruh efek ini biasa disebut efek spillover. Tujuan dari penelitian ini adalah mengetahui seberapa besar pengaruh efek langsung infrastruktur transportasi terhadap Produk Domestik Regional Bruto (PDRB) di Jawa Tegah. Dalam penelitian ini, pemodelan spatial yang dilakukan adalah spatial autoregressive (SAR) dan spatial error model (SEM). Hasil estimasi menunjukkan, efek langsung infrastruktur transportasi kabupaten/kota di Jawa Tengah tidak berpengaruh signifikan terhadap output dari daerah di mana infrastruktur berada dan kabupaten/kota tetangganya.
Journal of Computational and Theoretical Nanoscience, 2017
The purpose of this paper determine the factors that affect rice production in Central Java for p... more The purpose of this paper determine the factors that affect rice production in Central Java for period 2009 to 2014 were analyzed in order to meet the objectives of this study. This study using spatial panel with two processes, spatial lag model and spatial error model. The result show that the best model for modeling the data of rice production in Central Java is the spatial lag random effects panel, where rho was significant. Here the results show that we observe a strong positive spatial spill over effect for production among neighboring regions. In addition, harvested area and productivity in rice production play an important role. That is, the rice production in the region is influenced by its rice production in an adjacent area, as well as influenced by the area harvested and productivity of the region.
Prosiding Seminar Nasional Pendidikan, Sains dan Teknologi , 2017
Human Development Index (HDI) is a comparative measurement of life expectancy, literacy, educatio... more Human Development Index (HDI) is a comparative measurement of life expectancy, literacy, education. A country that is said to be advanced can be reflected if one of its reference is the Human Development Index (HDI), which of course explains how much human development in a country. Indonesia has human resources that can be explored and explored to show a significant index of human development. The Human Development Index (IPM) is a composite index that is influenced by health indicators represented by life expectancy (AHH), education indicators represented by the average school length (RLS) and economic indicators represented by public purchasing power (PPP). Decentralization of Central Kalimantan Province is expected to make arrangements that can realize the life of the people of Central Kalimantan to be more prosperous and healthy. One of the elements in human development is to make the people to live longer and healthier lives. Data source used in this research is secondary data of HDI in Central Kalimantan obtained from Central Bureau of Statistics of Central Kalimantan Province 2014. Variable used in this research is endogenous variable (Y) and exogenous variable (X). Variable endogenus (Y) in the research that is HDI (percent) while the variable (X) in the study there are 3 that is Life Expectancy Numbers, Perkapita Revenue, Average Learning Length.Using OLS method and ROBUST method of both methods the best model that is on robotic method
PROCEEDING INTERNATIONAL SEMINAR ON EDUCATIONAL TECHNOLOGY 3RD , 2017
Central Java is considered potential to trigger an increase in national economic growth, the econ... more Central Java is considered potential to trigger an increase in national economic growth, the economic characteristics of Central Java is determined by agriculture, industry and trade, hotels and restaurants (PHR). Each region in Central Java has different characteristics, the western and southern regions are dominated by the agricultural sector, the northern region is dominated by PHR, while the east is dominated by the industrial sector. Based on these characteristics, it is necessary to do a spatial data-based analysis on GRDP data so that the above phenomena are modeled based on the economic characteristics of each region and know the relation of the region to each other in the context of the growth of Gross Regional Domestic Product (GRDP). Spatial regression is one of the solutions of the above problems, this method of development of regression analysis, spatial regression not only see the global effect also see the local effect. In this study using spatial regression with lag in independent variables, this model is called spatial lag X (SLX). result, it can be concluded that the human capital parameters give significant influence on OLS and SLX model. While in the SLX model only the weighted variable of labor has significant effect. Furthermore the best model is shown with the highest R2 value, the SLX model produces R2 of 0.64, so the best model obtained is the SLX model. Thus, it can be concluded that the GRDP value in a region in Central Java is influenced by the value of the human capital of the region as well as the labor of the nearest region.
Prosiding Seminar Nasional Pendidikan, Sains dan Teknologi , 2017
Abstrak One of the goals of SDGs (Sustainable Devloment Goals) on food security is to end hunger,... more Abstrak One of the goals of SDGs (Sustainable Devloment Goals) on food security is to end hunger, achieve food security, improve nutrition and promote sustainable agriculture. So that food security is an important concern for the government, especially on rice commodities. In 2013 West Java became the largest producer of production in Indonesia and one district which became the largest rice producing center in West Java is Indramayu District with total production of 1,435,938 tons. OLS (Ordinary Least Square) is a regression method that minimizes the number of quadratic errors. While robust regression is a regression method used when the distribution of the error is not normal or the existence of the influence of the model. In this research, it is found that robust method is better than OLS method.
Jurnal Statistika Universitas Muhammadiyah Semarang, 2017
ABSTRAK Indeks Pembangunan Manusia (IPM) atau Human Devlompent Index (HDI) merupakan indeks pemba... more ABSTRAK Indeks Pembangunan Manusia (IPM) atau Human Devlompent Index (HDI) merupakan indeks pembangunan manusia yang dipergunakan untuk pencapaian hasil dari pembangunan suatu daerah atau wilayah dalam tiga dimensi dasar pembangunan yaitu lamanya hidup, pengetahuan/tingkat pendidikan dan standar hidup layak. Dalam penelitian ini dilakukan pendeskripsian Indeks Pembangunan Manusia (IPM) dan faktor-faktor yang mempengaruhinya dari sudut pandang kewilayahan dengan matriks pembobot customaize, serta pemodelan Indeks Pembangunan Manusia (IPM) dengan menggunakan spatial Durbin Error Models. Hasil penelitian menunjukan bahwa penyebaran Indek Pembangunan Manusia di Provinsi Jawa Tengah mempunyai pola yang menyebar. Berdasarkan hubungan Indeks Pembangunan (IPM) dengan variabel yang mempengaruhinya yaitu Angka Harapan Hidup (AHH), Rata-rata Lama Sekolah (RLS), Harapan Lama Sekolah (HLS), dan Pengeluaran Perkapita yang Disesuaikan (PPDS) dapat diartikan bahwa persamaan dan perbedaan karakteristik pada setiap kabupaten/kota yang berdekatan dapat menimbulkan peningkatan atau penurunan Indeks Pembangunan Manusia di Provinsi Jawa Tengah. Model yang memenuhi evaluasi model spatial econometriks yaitu model SDEM (Spatial Durbin Error Models), dan variabel yang mempunyai efek tidak langsung adalah pengeluaran erkapita yang disesuaikan artinya Indeks Pembangunan Manusia disuatu wilayah dipengaruhi oleh pengeluaran perkapita yang disesuaikan pada wilayah tersebut dan wilayah lain yang memiliki karakteristik yang sama. Kata Kunci : Indeks Pembangunan Manusia, Spatial Error Model (SEM), Spatial Durbin Error Model (SDEM) PENDAHULUAN Human Devlompent Index (HDI) atau IPM merupakan indeks pembangunan manusia yang dipergunakan untuk pencapaian hasil pembangunan suatu wilayah yang terdiri dari tiga dimensi dasar pembangunan diantaranya adalah lama hidup, tingkat pendidikan/pengetahuan dan standar hidup yang layak. Indikator yang digunakan untuk mengukur dimensi kesehatan adalah angka harapan hidup waktu lahir. Angka harapan hidup juga digunakan sebagai tolak ukur rata-rata masa hidup daerah atau wilayah tersebut. Dimensi pengetahuan dapat diukur melalui gabungan indikator rata-rata lama sekolah dan harapan lama sekolah. Faktor terpenting dalam menunjang pembangunan adalah pendiddikan karena dari pendidikanlah manusia itu berkembang dan berfikir maju, fasilitas-falisitas pendidikan yang memadai dan
Proceeding Conference INTERNATIONAL SEMINAR ON EDUCATIONAL TECHNOLOGY 3RD, 2017
Industry, agriculture and THR sectors are some of the leading sectors in Central Java. Central Ja... more Industry, agriculture and THR sectors are some of the leading sectors in Central Java. Central Java with the capital city of Semarang City, is the third in Indonesia with the highest population in addition to West Java and East Java. Given the high population density and economic growth rate, it should also be followed by the sector's ability to absorb the available employment. Whereas in reality, the world of work or industry and professional associations often complain that the quality of staff (graduates) has not yet met the required skills demands (competencies). So the need for assessment of the absorption of employment from elementary school to upper for the planning of education system, so that education is more directed to education system oriented to the world of work appropriately and more efficiently with adequate amount and quality can absorbed.
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Papers by Abdul Karim
Abstrak
Zakat dapat menjadi salah satu instrumen alternatif dalam menurunkan angka kemiskinan di suatu wilayah serta cenderung berdampak pada daerah sekitarnya, pengaruh efek ini biasa disebut efek spillover. Tujuan dari penelitian ini adalah mengetahui dependensi spasial potensi zakat dan kemiskinan di Indonesia baik secara global maupun lokal. Untuk mengetahui efek spasial dari perbedaan karakteristik wilayah berimplikasi pada potensi zakat dan kemiskinan masing
Abstrak
Zakat dapat menjadi salah satu instrumen alternatif dalam menurunkan angka kemiskinan di suatu wilayah serta cenderung berdampak pada daerah sekitarnya, pengaruh efek ini biasa disebut efek spillover. Tujuan dari penelitian ini adalah mengetahui dependensi spasial potensi zakat dan kemiskinan di Indonesia baik secara global maupun lokal. Untuk mengetahui efek spasial dari perbedaan karakteristik wilayah berimplikasi pada potensi zakat dan kemiskinan masing