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All Journal PROSIDING SEMINAR NASIONAL Jurnal Statistika Universitas Muhammadiyah Semarang Jurnal Dakwah Risalah Analisa Jurnal Sains Matematika dan Statistika Al Ibtida: Jurnal Pendidikan Guru MI Isamic Communication Journal Ilmu Dakwah: Academic Journal for Homiletic Studies JPPM (JURNAL PENELITIAN DAN PEMBELAJARAN MATEMATIKA) Jurnal Matematika: MANTIK Jurnal SOLMA Jurnal Empower : Jurnal Pengembangan Masyarakat Islam JTAM (Jurnal Teori dan Aplikasi Matematika) Lembaran Masyarakat: Jurnal Pengembangan Masyarakat Islam TSAQAFAH Jurnal Ilmu Dakwah Journal of Advanced Guidance and Counseling Jurnal Litbang Edusaintech Analisa: Journal of Social Science and Religion
Karim, Abdul
Universitas Islam Negeri Walisongo, Semarang, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Pemberdayaan Sekolah Islam untuk Meningkatkan Kompetensi Profesionalisme Guru di Kabupaten Semarang Karim, Abdul; Suharno, Yusak; Arwani, Wawan
Jurnal Ilmu Dakwah Vol 39, No 1 (2019)
Publisher : Faculty of Dakwah and Communication, Walisongo State Islamic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/jid.v39.1.4421

Abstract

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 positif tentang jenjang karir guru, program keprofesian berkelanjutan, serta memahami lebih lanjut tentang penelitian tindakan kelas dan evaluasi pembelajaran.
Regional Economic Growth: A Spatial Durbin Model Approach Abdul Karim
Jurnal Matematika MANTIK Vol. 7 No. 2 (2021): Mathematics and Applied Mathematics
Publisher : Mathematics Department, Faculty of Science and Technology, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15642/mantik.2021.7.2.147-154

Abstract

The purpose of this study is to determine the effect of spatial dependence on Gross Regional Domestic Product (GRDP) in Central Java Province. Spatial Durbin Model (SDM) is a regression model consisting of a spatial data structure which is the development of the Spatial Autoregressive Model (SAR). There is an additional spatial effect on the component of the independent variable that is not included in the SAR model or commonly referred to as an indirect effect on the independent variable. This indicates that SDM has advantages compared to SAR because there are spatial effects on the dependent and independent variables, the spatial weighted matrix used in this study is row-normalized binary contiguity. The data used in this study is sourced from the Central Java Statistics Agency (BPS) in 2019 for 35 districts and cities, which GRDP as the dependent variable, labor, human resources, and road infrastructure as independent variables. Based on the results of the analysis, the AIC value shows that SDM is significantly better than the ordinary least square (OLS) and SAR models. SDM results show that human resources have a positive sign and a direct effect of 88.5 percent and an indirect effect of 13.1 percent. In addition, the labor variable has an indirect effect on GRDP of 22.2 percent.
Pemetaan untuk Strategi Dakwah di Kota Semarang Menggunakan Pendekatan Data Mining (Mapping for Da'wah Strategy in Semarang City Using Data Mining Approach) Abdul Karim; Adeni Adeni; Fitri Fitri; Alifa Nur Fitri; Mustofa Hilmi; Silvia Riskha Fabriar; Farida Rachmawati
Jurnal Dakwah Risalah Vol 32, No 1 (2021): June 2021
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jdr.v32i1.12549

Abstract

This paper aims to explore the potential of da'wah in the city of Semarang with a data mining approach. The data mining approach is carried out by implementing the fuzzy c-means (FCM) algorithm in order to obtain the optimum number of clusters in the potential clustering of da'wah in the city of Semarang. The data used in this study from the Ministry of Religion of the Republic of Indonesia and the Central Statistics Agency (BPS) of Semarang City. The results of the FCM analysis show that the optimum number of clusters is two clusters, where the sub-district in the second cluster is an area with a high potential for da'wah. This study provides information that in effective da'wah activities, certainty and clarity is needed regarding the targets of da'wah through mapping of da'wah in the form of clustering potential da'wah. This can be a consideration of dakwah strategies for the successful implementation of da'wah studies so that an increase in the target behavior of da'wah can be achieved. The application of FCM to get the optimum cluster of potential da'wah in order to produce da'wah mapping is novelty in the field of Islamic studies, especially the science of da'wah.
PERBANDINGAN METODE ORDINARY LEAST SQUARE (OLS) DAN REGRESI ROBUST PADA PRODUK DOMESTIK REGIONAL BRUTO (PDRB) DI JAWA TENGAH TAHUN 2013 Muhammad Nasihin; Abdul Karim
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: Prosiding Seminar Nasional Pendidikan, Sains dan Teknologi
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (593.384 KB)

Abstract

High economic growth is a key condition for the sustainability of regional economic development. To measure the local economy by observing how much economic growth rate the region achieved as reflected by the increase of Gross Regional Domestic Product (GRDP). PDRB is one of the common indicators used to measure the success rate of economic development in a region / region, because thesuccess of a development depends on the ability of the region to mobilize limited resources so as to make changes in a skruktural that can encourage the overall economic growth and balanced. This study aims to analyze how big these factors affect the level of GDP of regencies / cities in Java Tengan in the period2013. Sources of data used in this study are secondary data in Central Java Central obtained from the Central Bureau of Statistics of Central Java Province in 2013. The variables used in this research are endogenous (Y) and exogenous (X) variables. Endogenous variables (Y) in the research is PDRB Agriculture while the variable (X) in the study there are 2 namely AngkaTPAK, and Wages. Using OLSmethod and ROBUST method of both methods is the best model that is on robus method. Keywords: OLS, Robust Regression,Gross Regional Domestic Product
SPATIAL AUTOCORRELATION UNTUK DETEKSI DATA KEWILAYAHAN PRODUK DOMESTIK REGIONAL BRUTO PROVINSI JAWA TENGAH Muhammad Saifudin Nur; Abdul Karim
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: Prosiding Seminar Nasional Pendidikan, Sains dan Teknologi
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (642.219 KB)

Abstract

Spatial Autocorrelationl is one of the method that can determined spatial characteristic in data variables. Sparial Autocorrelation is able to define whether there is spatial characteristic ineach variables at regression models. The purpose of this study is to map and Detecting the Spatial Autocorrelation  for Gross Regional Domestic Product (GDRP) data in Central Java province with appropriate spatial weighting. The data used is the GDRP data and the factors that affect the GDRPie labor, human capital, roads infrastructure in 2015. Based on the results, the spatial efect on GDRP data is significanly occurs. Keywords : Spatial Autocorrelation, Ordinary Least Square, GDRP
MODELLING GROSS DOMESTIC REGIONAL BRUTO IN CENTRAL JAVA PROVINCEUSING SPATIAL REGRESSION Abdul Karim
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: Proceeding 3rd ISET 2017 | International Seminar on Educational Technology 3rd 2017
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (966.359 KB)

Abstract

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 abovephenomena are modeled based on the economic characteristics of each region and know the relation of theregion 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). Data used in this research is data obtained from Central Bureau of Statistics (BPS) in 2015, including data of GRDP price applies to 35 districts and cities in Central Java Province for the year 2015. Besides data of GRDP, data of factors influencing GRDP price Such as Road infrastructure data, Human Capital, and Manpower, are also used in this study. Based on the analysis 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 thebest model is shown with the highest R2 value, the SLX model produces R2 of 0.64, so the best model obtainedis 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.Keywords: Spatial Regression, Moran’s I, Gross Domestic Regional Bruto
Autocorrelation Spatial Program Swasembada Padi di Jawa Tengah Abdul Karim; Rochdi Wasono
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: PROSIDING IMPLEMENTASI PENELITIAN PADA PENGABDIAN MENUJU MASYARAKAT MANDIRI BERKEMAJUAN
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (355.682 KB)

Abstract

Salah satu peran penting Provinsi Jawa Tengah bagi perekonomian wilayah dan nasional adalah sebagai penghasil tanaman pangan. Produksi padi di daerah ini memiliki surplus yang berpotensi mendukung ketahanan pangan wilayah. Menurut Badan Pusat Statistik (BPS), pada tahun 2013 secara nasional Jawa Tengah termasuk penghasil padi terbesar ketiga setelah Jawa Barat dan Jawa Timur, dengan produksi mencapai 10,34 juta ton padi kering giling. Sejalan dengan produksi yangtinggi, tingkat produktifitas padi di Jawa Tengah adalah sebesar 56,06 kwintal per hektar, lebih tinggi dari rata-rata nasional (BPS, 2013). Penelitian ini ingin mengetahui dependensi spasialmenggunakan pendekatan global morans. Berdasarkan analisis global morans, produksi, luas panen, jumlah petani dan luas panen padi terdapat dependensi spasial dengan alfa 5 persen. Jadi dapat disimpulkan bahwa terdapat keterkaitan spasial antar kabupaten dan kota di Jawa Tengah untuk produksi, luas panen, jumlah petani dan luas panen padi. Kata Kunci : Autocorrelation spatial, Morans I, Dependensi Spasial, Produksi Padi.
PEMODELAN PRODUK DOMESTIK REGIONAL BRUTO PROVINSI JAWA TENGAH DENGAN PENDEKATAN SPATIAL AUTOREGRESSIVE CONFUSED (SAC) Haznam Prabowo; Abdul Karim
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: Prosiding Seminar Nasional Pendidikan, Sains dan Teknologi
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (688.23 KB)

Abstract

Economic growth becomes one indicator of the state's economic condition.Increased economy is done by increasing development in various economicsectors and equitable economic development to the regions. Therefore, with theequalization of economic development will provide an increase in the value ofgross domestic product of a region. In this research, the description of grossregional domestic product and influencing factors from the territorial point ofview with costumaize weighting matrix, and spatial autoregressive confusedPDRB modeling using spatial effect on response and residual variables. Theresults showed that the spread of GRDP in Central Java Province has a patternthat clustered between adjacent areas. Based on the GRDP relationship withthe variables that affect the workforce (TK), human capital (HC), roadinfrastructure (INF), it can be interpreted that the similarities and differences incharacteristics of each district that close together cause increase or decreaseGDP Central Java Province. This study was conducted with the aim ofdetermining the weighting matrix and modeling the Central Java GRDP withthe appropriate weighting matrix. Based on SAC model analysis results aresignificantly better than OLS model with AIC value. The significant variablesdirectly affect human capital. While the indirect effect occurs on residuals.Keywords: GRDP, Spatial autoregressive confused (SAC), Spatial Econometrik
PERBANDINGAN METODE ORDINARY LEAST SQUARE (OLS) DAN REGRESI ROBUST Ibnu Dharma Syahputra; Abdul Karim
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: Prosiding Seminar Nasional Pendidikan, Sains dan Teknologi
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (534.508 KB)

Abstract

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 methodKeywords: HDI, OLS, ROBUST
Pelatihan Pengembangan Keprofesian Berkelanjutan (PKB) untuk Meningkatkan Kompetensi Profesional bagi Guru SD Muhammadiyah 8 Dan SD Islam Nu Pungkuran Kota Semarang melalui Workshop, Klinik, Dan Pendampingan Abdul Karim; Iswahyudi Joko S
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: Prosiding Seminar Nasional Pendidikan, Sains dan Teknologi
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (362.288 KB)

Abstract

Tujuan khusus dari program ini terhadap mitra adalah memberikan motivasi guru untuk melaksanakan program pengembangan keprofesian berkelanjutan,meningkatkan kualitas dan kuantitas program pengembangan keprofesian berkelanjutan, meningkatkan kualitas dan kuantitas karya khususnya karya pengembangan penelitian tindakan kelas hingga berbentuk pelaporan hasil,meningkatnya kemampuan pemilihan kesesuaian metode statistik dalamevaluasi pembelajaran dan penelitian tindakan kelas dengan penggunaankomputer serta adanya sarana promosi mitra ke masyarakat umum. Tujuan tersebut diselesaikan menggunakan metode workshop dengan teknik presentasimateri dilanjutkan dengan diskusi, teknik klinik, sedangkan masalah terbatasnya kegiatan promosi dilakukan dengan pembuatan website dan mediasosial sekolah mitra, selanjutnya pendampingan.Hasil capaian dari kegiatan program kemitraan masyarakat bagi guru SDMuhammadiyah 08 dan SD Islam NU Pungkuran yaitu; 1) adanya peningkatanpengetahuan tentang jenjang karir guru, program keprofesian berkelanjutan,memahami lebih lanjut tentang penelitian tindakan kelas dan evaluasipembelajaran, serta tersedianya sarana promosi untuk masing-masing sekolah;2) adanya pendampingan dalam kegiatan-kegiatan tersebut.Keywords: pengembangan keprofesian berkelanjutan, penelitian tindakan kelas
Co-Authors Adeni Adeni Adeni Adeni Adeni, Adeni Agus Riyadi Agus Riyadi Akhmad Fathurrohman Akhmad Faturohman Alfiyah - Alifa Nur Fitri Alifia Melati Farida Anawati, Sudiyah Awaludin Pimay, Awaludin Ayuf Mufakhidin Dedy Dwi Prastyo Devi Sumayya Sara Endah Suryaningsih Utami Fajar Prihatmono Farida Rachmawati Fathikatul Arnanda Fitri Fitri Fitri Fitri Hadi Kusuma, Hamdan Hamdan Hadi Kusuma Hamid, Nur Haznam Prabowo Ibnu Dharma Syahputra Ilyas Supena Imaroh Izzatun Nisa Indah Manfaati Nur Indra Martha Rusmana Ismartoyo Ismartoyo Iswahyudi Joko S Kasmuri Kasmuri, Kasmuri Laila Nur Mahmuda Lukmanul Hakim M. Mudhofi Moh Yamin Darsyah Moh. Yamin Darsyah Mudhofi, M Mudhofi, M. Mufakhidin, Ayuf Muhammad Fahmi Mubarok Muhammad Nasihin Muhammad Saifudin Nur Mursyid, Achmad Yafik Mustofa Hilmi Nada, Winda Qotrun Nadya Permata Tungga Dewi Nur Aina Dwi Wulandari Nurmawati Osman Koroglu Prichilia Putu Makarti Retna Widyasari Rochdi Wasono Rofiqoh Istiqomah Safrodin, Safrodin Silvia Riskha Fabriar Siti Maimunah Solahuddin, Solahuddin Suharno, Yusak Suhartono Suhartono Ulfatun Khasanah Wawan Arwani Wawan Arwani Wawan Arwani, Wawan Wulandari, Ayu Niken Yuliani, Trika Yusak Suharno