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All Journal SAINSMAT Jurnal Sains dan Teknologi Journal The Winners Syntax Literate: Jurnal Ilmiah Indonesia BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) Journal of Educational Research and Evaluation Performance Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) Jurnal MSDA (Manajemen Sumber Daya Aparatur) Majalah Ilmiah Matematika dan Statistika (MIMS) Journal of Comprehensive Science SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam Muslim Business and Economic Review Darma Sabha Cendekia Jurnal Akuntansi dan Keuangan Islam (JAKIs) Indonesian Journal of Statistics and Its Applications
Jajang Jajang
Program Studi Matematika, Universitas Jenderal Soedirman
Religion Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KETIMPANGAN DISTRIBUSI PENDAPATAN DI PULAU JAWA TAHUN 2014-2020 Andina, Resta Dwi; Jajang, jajang; Supriyanto, Supriyanto
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 13 No 1 (2021): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2021.13.1.4353

Abstract

ABSTRACT. Unequal distribution of income is one indicator of community welfare. Improving and equalizing the standard of living people in various regions is one of the efforts to realize national economic development. The existence of an unequal distribution of income also has an impact on economic development. This study discusses panel data regression analysis to determine the factors that affect the unequal distribution of income in Java from 2014 to 2020 with the help of Eviews 10 software. The factors that are thought to affect unequal distribution of income in this study are the human development index, open unemployment rate, regional gross domestic product per capita, and total of poor people. The fixed effects model (FEM) was chosen to be the best model. The results showed that the HDI and RGDP per capita variables had negative and significant effect on unequal distribution of income in Java from 2014 to 2020.Keywords: panel data regression, fixed effect model, unequal distribution of income, gini ratio. ABSTRAK. Ketimpangan distribusi pendapatan merupakan salah satu indikator kesejahteraan masyarakat. Meningkatkan dan menyetarakan taraf hidup masyarakat di berbagai daerah merupakan salah satu upaya mewujudkan pembangunan ekonomi nasional. Adanya distribusi pendapatan yang tidak merata berdampak pada pembangunan ekonomi. Penelitian ini membahas analisis regresi data panel untuk mengetahui faktor-faktor yang mempengaruhi ketimpangan distribusi pendapatan di Pulau Jawa tahun 2014 sampai 2020 dengan bantuan software Eviews 10. Faktor-faktor yang diduga mempengaruhi ketimpangan distribusi pendapatan dalam penelitian ini yaitu indeks pembangunan manusia, tingkat pengangguran terbuka, produk domestik regional bruto perkapita, dan jumlah penduduk miskin. Fixed Effect Model (FEM) terpilih menjadi model terbaik. Hasil penelitian menunjukkan bahwa indeks pembangunan manusia dan produk domestik regional bruto perkapitadan PDRB perkapita berpengaruh negatif dan signifikan terhadap ketimpangan distribusi pendapatan di Pulau Jawa tahun 2014 sampai 2020.Kata kunci: regresi data panel, model fixed effect, ketimpangan distribusi pendapatan, rasio gini
PEMODELAN KEBUTUHAN GIZI PADA BALITA DENGAN ARTIFICIAL NEURAL NETWORK Jajang, jajang; Meilani, Sylvia
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 13 No 1 (2021): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2021.13.1.4363

Abstract

ABSTRACT. An information on the data is not easily obtained if the data is not presented well. The nutritional needs of toddlers are important to be studied to get an information about growth of these toddlers. This research studied the nutritional needs and its factors by using Artificial Neural Network (ANN) model. These factors are toddler's age, gender, weight, height, and activity. Nutrition data for children under five years old was obtained from interviews at 47 Posyandu locations. The results showed that the resulting ANN model gave quite good results where the error value generated was 0.024.Keywords: toddlers, artificial neural network, nutrition, posyandu ABSTRAK. Sebuah informasi pada data tidak mudah diperoleh apabila data tidak disajikan dengan baik. Kebutuhan gizi balita penting ditelaah untuk mendapatkan tumbuh kembangnya balita. Penelitian ini mengkaji kebutuhan gizi balita dan faktor-faktornya menggunakan model Artificial Neural Network (ANN). Faktor-faktor yang dimaksud adalah umur balita, jenis kelamin, berat badan, tinggi badan, dan aktifitas. Data gizi anak dibawah lima tahun (balita) diperoleh dari hasil wawancara di 47 lokasi Posyandu. Hasil penelitian menunjukkan bahwa model ANN yang dihasilkan cukup baik dimana nilai kesalahan yang dihasilkan adalah 0,024.Kata kunci: balita, artificial neural network, gizi, posyandu
ANALISIS REGRESI COUNT DATA UNTUK PEMODELAN JUMLAH KASUS PENYAKIT TUBERKULOSIS DI KABUPATEN BANYUMAS Kristy, Kristy; Jajang, Jajang; Nurhayati, Nunung
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 13 No 2 (2021): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2021.13.2.4919

Abstract

ABSTRACT. Tuberculosis is an infectious disease caused by Mycobacterium tuberculosis. Banyumas Regency is one of the districts with quite high Tuberculosis cases in Central Java. This study aims to analyze the factors that affect the number of tuberculosis cases in Banyumas Regency using regression analysis of count data. Poisson regression is the simplest count data regression model that has the assumption of equidispersion, that is, the mean value equal to the variance. However, in its application, these assumption is often not fulfilled, for example, there are cases of overdispersion (variance value is greater than the mean). In this study, to overcome the case of overdispersion, an approach was used using Generalized Poisson Regression (GPR) and negative binomial regression. The results showed that the data on the number of tuberculosis cases in Banyumas Regency in 2019 was overdispersion. The data modeling of the number of tuberculosis cases in Banyumas Regency with the negative binomial regression model is better than the GPR model. Meanwhile, the only predictor variable that affects the number of tuberculosis cases in Banyumas Regency is the sex ratio of productive age (15-49 years).Keywords: tuberculosis, count data regression, Generalized Poisson Regression (GPR), negative binomial regression. ABSTRAK. Tuberkulosis merupakan salah satu penyakit menular yang disebabkan oleh Mycobacterium Tuberculosis. Kabupaten Banyumas merupakan salah satu kabupaten dengan kasus Tuberculosis (TB) yang cukup tinggi di Jawa Tengah. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang mempengaruhi jumlah kasus tuberkulosis di Kabupaten Banyumas menggunakan analisis regresi count data. Regresi Poisson merupakan model regresi count data paling sederhana yang memiliki asumsi equidispersi yaitu nilai mean sama dengan variansi. Namun, pada pengaplikasiannya asumsi tersebut sering tidak terpenuhi, misalnya terdapat kasus overdispersi (nilai variansi lebih besar daripada mean). Dalam penelitian ini, untuk mengatasi kasus overdispersi dilakukan pendekatan menggunakan Generalized Poisson Regression (GPR) dan regresi binomial negatif.. Hasil penelitian menunjukkan bahwa data jumlah kasus tuberkulosis di Kabupaten Banyumas tahun 2019 mengalami overdispersi. Pemodelan data jumlah kasus tuberkulosis di Kabupaten Banyumas dengan model regresi binomial negatif lebih baik dibandingkan model GPR. Sementara itu, satu-satunya variabel prediktor yang berpengaruh terhadap jumlah kasus tuberkulosis di Kabupaten Banyumas yaitu rasio jenis kelamin usia produktif (15-49 tahun).Kata kunci: tuberkulosis, regresi count data, overdispersi, Generalized Poisson Regression (GPR), regresi binomial negatif.
APLIKASI K-MEANS DAN FUZY CLUSTERING DALAM PENGELOMPOKAN KECAMATAN DI KABUPATEN BANYUMAS Jajang, jajang; Nurhayati, Nunung; Apriliana, Yhenis
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 13 No 2 (2021): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2021.13.2.5051

Abstract

ABSTRACT. Clustering N objects into c clusters can be used to get information about data observation. Among the clustering methods are K-Means (KMC) and Fuzzy C-means (FCM) methods. In the K-means method, objects are members or not members of the cluster, while in the FCM method, objects are included in the cluster based on the degree of membership. This study discusses the implementation of KMC and FCM in the custering of sub-districts in Banyumas Regency based on total of population, the number of health workers and the number of health facilities and infrastructure. The results showed that the KMC and FCM methods produced the same cluster membership. Furthermore, the analysis of clustering based on the number of population, the number of health workers and the number of health facilities and infrastructure (scenario 1) and based on the number of health workers and the number of health facilities and infrastructure which have been corrected by population (scenario 2). The percentage of the variance ratio between clusters to the total variance in scenario 1 is 69% while in scenario 2 it is 85%. Clustering based on scenario 2 is better than scenario 1.Keywords: number of health workers, number of health facilities, K-Means, FCM. ABSTRAK. Clustering N objek menjadi c cluster dapat digunakan untuk mendapatkan informasi tentang data. Di antara metode clustering adalah metode K-Means (KMC) dan Fuzzy C-means (FCM). Pada metode metode K-means, objek sebagai anggota atau bukan anggota cluster, sedangkan pada metode FCM memasukan objek ke cluster berdasarkan derajat keanggotaan. Penelitian ini membahas implementasi KMC dan FCM dalam pengelompokan kecamatan-kecamatan di Kabupaten Banyumas berdasarkan jumlah penduduk, jumlah tenaga kesehatan dan jumlah sarana dan prasarana kesehatan. Hasil penelitian menunjukkan bahwa metode KMC dan FCM menghasilkan keanggotaan cluster yang sama. Lebih lanjut analsis pengelompokan dilakukan melalui berdasarkan jumlah penduduk, jumlah tenaga kesehatan dan jumlah sarana dan prasarana kesehatan (skenario 1) dan berdasarkan , jumlah tenaga kesehatan dan jumlah sarana dan prasarana kesehatan yang sudah dikoreksi dengan jumlah penduduk (scenario 2). Persentase rasio variansi antar cluster terhadap variansi total pada scenario 1 sebesar 69% sedangkan pada scenario 2 sebesar 85%. Clustering berdasarkan scenario 2 lebih baik daripada scenario 1.Kata Kunci: jumlah tenaga kesehatan, jumlah sarana kesehatan, K-Means, FCM.
OPTIMISASI FUNGSI RASTRIGIN MENGGUNAKAN FLOWER POLLINATION ALGORITHM Hidayat, Taufik; Sidik, Wuryatmo Ahmad; Jajang, jajang
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 14 No 1 (2022): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2022.14.1.5819

Abstract

ABSTRACT. The Rastrigin function is a multimodal function. It is difficult to find a global minimum of the function because it has many local minimums. Therefore, we need an effective and efficient algorithm to find a solution to the global minimum of the function without being trapped by the local minimum. The flower pollination algorithm is a metaheuristic algorithm, it is expected to be capable of solving multimodal function optimization problems. In this study flower pollination algorithm is used to find the global minimum of the Rastrigin function of two variables with MATLAB. The Rastrigin function of two variables is used as objective function for the flower pollination algorithm. The parameters are divided into three configurations based on the difference amount of pollen gamets, the probability switch, and the search domain, with two different iterations 300 and 1500. The best results is obtained for each configuration is running for 10 times. The best results from the flower pollination algorithm are obtained from the first configuration and 1500 iterations.Keywords : local minimum, global minimum, Rastrigin function, flower pollination algorithm. ABSTRAK. Fungsi Rastrigin merupakan fungsi multimodal yang memiliki banyak minimum lokal yang menyebabkan sulitnya mencari nilai minimum globalnya. Oleh karena itu diperlukan algoritma yang efektif dan efisien untuk mencari solusi nilai minimum global fungsi Rastrigin tanpa terjebak oleh minimum lokal. Flower pollination algorithm merupakan algoritma pencarian metaheuristik yang diharapkan mampu untuk menyelesaikan permasalahan optimisasi fungsi multimodal. Dalam penelitian ini flower pollination algorithm digunakan untuk mencari nilai minimum global dari fungsi Rastrigin dua variabel dengan bantuan software MATLAB. Fungsi Rastrigin dua variabel digunakan sebagai fungsi uji pada flower pollination algorithm. Parameter yang digunakan dibagi menjadi tiga konfigurasi, setiap konfigurasi didasarkan pada perbedaan jumlah serbuk sari, probability switch, dan domain pencarian, dengan dua jumlah iterasi berbeda, yaitu 300 dan 1500. Hasil terbaik diperoleh dari setiap konfigurasi pada masing-masing iterasi dengan 10 kali running. Hasil terbaik dari flower pollination algorithm didapat dari konfigurasi pertama dan jumlah iterasi 1500.Kata kunci : minimum lokal, minimum global, fungsi Rastrigin, flower pollination algorithm.
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PENYELESAIAN TUGAS AKHIR MAHASISWA JURUSAN MATEMATIKA ANGKATAN 2015-2017 UNIVERSITAS JENDERAL SOEDIRMAN Dewi, Kanya Anggun Setya Kusuma; Jajang, Jajang; Tripena Br. Sb., Agustini
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 14 No 2 (2022): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2022.14.2.6908

Abstract

ABSTRACT. According to the Student Status data of FMIPA UNSOED, from 190 students of the Mathematics Department 2015-2017, there were only 22 students who graduated no more than 4 years (for 8 semesters). This study aims to determine the factors that influence the completion of the final project of the 2015-2017 UNSOED Mathematics Department students. This study uses primary data obtained by distributing questionnaires to students of the Department of Mathematics class 2015-2017 UNSOED and secondary data obtained from Bapendik FMIPA UNSOED. The method used in this research is factor analysis with 10 independent variables. The results showed that there were 3 factors that influenced the completion of the final project of the 2015-2017 UNSOED Mathematics Department students. The first factor is the student's persistence factor, the second is the supervisor's factor, and the third is the student's ability factor.Keywords: factors of final project completion, mathematics department, factor analysis. ABSTRAK. Menurut data Status Kemahasiswaan FMIPA UNSOED, dari 190 mahasiswa Jurusan Matematika angkatan 2015-2017 hanya terdapat 22 mahasiswa yang lulus tidak lebih dari 4 tahun (selama ≤ 8 semester). Penelitian ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi penyelesaian tugas akhir mahasiswa Jurusan Matematika angkatan 2015-2017 UNSOED. Penelitian ini menggunakan data primer yang diperoleh dengan membagikan kuesioner kepada mahasiswa Jurusan Matematika angkatan 2015-2017 UNSOED dan data sekunder yang diperoleh dari Bapendik FMIPA UNSOED. Metode yang digunakan dalam penelitian ini adalah analisis faktor dengan 10 variabel bebas. Hasil penelitian menunjukkan bahwa terdapat 3 faktor yang mempengaruhi penyelesaian tugas akhir mahasiswa Jurusan Matematika angkatan 2015-2017 UNSOED. Faktor pertama yaitu faktor ketekunan mahasiswa, faktor kedua yaitu faktor dosen pembimbing, dan faktor ketiga yaitu faktor kemampuan mahasiswa. Kata Kunci: faktor-faktor penyelesaian tugas akhir, jurusan matematika, analisis faktor.
PENERAPAN METODE TWO-STEP CLUSTERING UNTUK ANALISIS PREFERENSI JENIS MARKETPLACE MAHASISWA S1 FMIPA UNIVERSITAS JENDERAL SOEDIRMAN Ashari, Helmi Farid; Jajang, Jajang; Tripena Br. Sb., Agustini
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 15 No 2 (2023): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2023.15.2.11148

Abstract

ABSTRACT. The Corona Virus Disease 2019 has caused a transformation in societal life, including the phenomenon of online shopping. Cluster Analysis is a multivariate technique used to group objects based on the similarity measures. The applied method for mixed data between continuous data and catagorical data is the two-step cluster method. This study applies analysis to the characteristics of college students in the Faculty of Mathematics and Natural Sciences at Jenderal Soedirman University based on eight variables: gender, graduation year, e-commerce platform, payment method, product type, monthly online shopping expenses, and monthly allowance. The two-step cluster method comprises an initial clustering stage using a sequential method and a final stage using a log-likelihood distance-based agglomeration method. The determination of the optimal number of clusters is based on the Bayesian Information Criterion (BIC). The analysis results indicate the formation of three optimal clusters out of 100 students: cluster 1 comprising 25 male and 4 female students choosing Shopee, Tokopedia, cluster 2 consisting of 11 male and 35 female students choosing Shopee and Tokopedia, and Lazada, and cluster 3 including 14 male and 11 female students choosing Shopee, Gojek, and Grab.Keywords: Cluster Analysis, Student online shop, Log-likelihood Distance, Two-Step Cluster. ABSTRAK. Corona Virus Disease 2019 memicu transformasi dalam kehidupan masyarakat, salah satunya fenomena berbelanja online. Analisis cluster adalah salah satu teknik multivariat yang digunakan untuk mengelompokan objek-objek menjadi beberapa cluster berdasarkan ukuran kemiripan. Metode yang dapat diterapkan untuk data campuran antara data kontinu dan data kategorik adalah metode two-step cluster. Penelitian ini akan menerapkan analisis pada karakteristik mahasiswa S1 Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jenderal Soedirman berdasarkan delapan variabel yaitu: jenis kelamin, tahun angkatan, jurusan, platform e-commerce, jenis pembayaran, jenis produk, biaya belanja online per bulan, dan uang saku per bulan. Metode two-step cluster memiliki dua tahapan yaitu tahap clustering awal dengan metode sekuensial dan tahap akhir dengan metode pemusataan berdasarkan ukuran jarak log-likelihood. Penentuan banyaknya cluster optimal didasarkan pada Bayesian Information Criterion (BIC). Hasil analisis menunjukan terbentuknya tiga cluster optimal dari 100 mahasiswa. Cluster 1 yang terdiri dari 25 mahasiswa laki-laki dan 4 mahasiswa perempuan dengan pilihan platfrom Shopee, Tokopedia, dan Lazada. Cluster 2 yang terdiri dari 11 mahasiswa laki-laki dan 35 mahasiswa perempuan dengan pilihan platfrom Shopee dan Tokopedia. Cluster 3 yang terdiri dari 14 mahasiswa laki-laki dan 11 mahasiswa perempuan dengan pilihan platform Shopee, Gojek, dan Grab.Kata kunci: Analisis Cluster, Belanja Online, Jarak Log-Likelihood, Two-Step Cluster
Social Media Adoption and SMEs Business Performance: Examining Entrepreneurship Orientation and Government Support Policies in Central Java Novandari, Weni; Gunawan, Diah Setyorini; Bawono, Icuk Rangga; Naufalin, Rifda; Maryani, Sri; Jajang, Jajang; Sulasih, Sulasih
Journal The Winners Vol. 24 No. 1 (2023): Journal The Winners
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/tw.v24i1.9262

Abstract

The research analyzed the influence of social media adoption on SMEs’ business performance by examining the mediating role of entrepreneurship orientation and the moderating role of government support policies. The utilization of technology in business, including the adoption of social media, was significant in enhancing business performance. Previous research has shown that the adoption of social media by SMEs is a common phenomenon. However, limited SMEs have experienced a positive impact on their business performance despite adopting social media into their business operations. The research subjects consisted of 134 SMEs in Central Java that have integrated social media into their business operations. The respondents were selected using convenience sampling, and the SEM PLS method was employed as the analytical tool. This research succeeded in providing answers to the research gap, where entrepreneurship orientation mediated partially the effect of social media adoption on SMEs’ business performance. The result shows that government support policies do not moderate the effect of entrepreneurship orientation on business performance but have a direct positive effect on improving business performance. Theoretical and practical contributions are also made to the field of research concerning the interconnection of technology and marketing strategies.
Sustainable Finance Initiatives In The Developing-8 Countries: Focus And Priorities In The Country Level Jajang, Jajang
Jurnal Akuntansi dan Keuangan Islam Vol 12, No 2 (2024)
Publisher : SEKOLAH TINGGI EKONOMI ISLAM SEBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35836/jakis.v12i2.831

Abstract

This research aims to analyze the initiatives adopted by the D-8 countries in responding to the issue of sustainable finance. To achieve this goal, the research is designed using a qualitative literature review approach. In this research, data were obtained from the official websites of relevant national authorities, previous studies, and other reliable data sources. Research found that, at the organizational level, although there are no specific initiatives regarding sustainable finance, the initiatives taken have included sustainability dimensions, namely economic, social, and environmental dimensions. However, at the national level, each the D-8 countries have their own focus and priorities in responding to sustainable finance issues.Penelitian ini bertujuan untuk menganalisis inisiatif yang diambil oleh negara-negara D-8 dalam menanggapi isu keuangan berkelanjutan. Untuk mencapai tujuan tersebut, penelitian dirancang dengan menggunakan pendekatan tinjauan literatur kualitatif. Dalam penelitian ini, data diperoleh dari situs resmi otoritas nasional terkait, penelitian sebelumnya, dan sumber data lain yang dapat dipercaya. Penelitian menemukan bahwa, pada level organisasi, meskipun belum ada inisiatif khusus mengenai keuangan berkelanjutan, namun inisiatif yang diambil sudah mencakup dimensi keberlanjutan, yaitu dimensi ekonomi, sosial, dan lingkungan. Sedangkan di tingkat nasional, masing-masing negara D-8 mempunyai fokus dan prioritas masing-masing dalam menanggapi isu keuangan berkelanjutan.
Peran dan Tanggung Jawab Kepala SMK Islam Cipasung dalam Meningkatkan Kualitas Akhlak Peserta Didik Jajang, Jajang; Sri Anggraeni, Ulan; Nurjuman, Iman; Ijudin, Ijudin
Journal of Comprehensive Science Vol. 4 No. 1 (2025): Journal of Comprehensive Science (JCS)
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jcs.v4i1.2980

Abstract

This study aims to analyze the role and responsibility of the principal of SMK Islam Cipasung in improving the quality of students' morals. The problems faced in the world of education today include the moral degradation and morals of students which require more attention from the leaders of educational institutions. This research is focused on three problem formulations: (1) What are the roles and responsibilities of school principals towards students? (2) How to improve the quality of students' morals at Cipasung Islamic Vocational School? and (3) What is the relationship between the role and responsibility of the principal in improving the quality of students' morals? Through a qualitative approach with a descriptive method, this study explores the views and practices of the principal of SMK Islam Cipasung in moral development. The results of the study show that the role of the principal is very influential on the formation of character and morality of students. The principal is not only responsible as an administrative manager, but also as a spiritual leader who creates an Islamic environment and encourages the integration of moral values in the curriculum. Thus, the role and responsibility of the principal of SMK Islam Cipasung is directly correlated with improving the quality of students' morals.
Co-Authors Aflakhah, Zahrotul Agung Prabowo Agus Sugandha Agustini Tripena Br. Sb. Alwi, Wahyuni Andina, Resta Dwi Annisa, Yusrina Ratna Apriliana, Yhenis Apriyani, Mella Asfar Asfar, Asfar Ashari, Helmi Farid Ashfahani, Raden Ninditya Ghina Baisaku, Nurul Azizah Br. Sb., Agustini Tripena Budi Pratikno Dewi, Kanya Anggun Setya Kusuma Diah Setyorini Gunawan Diah Setyorini Gunawan DIMAS EKA PUTRA Fari, Achmad Rifqi Nurghi Guswanto, Bambang Hendriya Habiburrachman, Usamah Hastuty Musa Icuk Rangga Bawono Icuk Rangga Bawono, Icuk Rangga Ijudin, Ijudin Junejo, Safiullah Khanifudin khanifudin khanifudin, Khanifudin Kristy, Kristy M. Rendi Aridhayandi Maryani, Sri Mashuri Mashuri Mufida, Suci Jena Muhammad Khafidh Nanda, Fitri Agung Novriansyah Novriansyah, Novriansyah Nunung Nurhayati Nuraliya, Aliffia Yasya Nurjuman, Iman Nusrang, Muhammad Rifda Naufalin Sb., Agustini Tripena Br. Sidik, Wuryatmo Ahmad Siti Rahmah Nurshiami Siti Rahmah Nurshiami, Siti Rahmah Sri Anggraeni, Ulan Sri Maryani Sugeng Purwanto Sulasih Sulasih Supriyanto Supriyanto Supriyanto Supriyanto Suwardi Annas Suwardi Annas Sylvia Meilani, Sylvia Taufik Hidayat Taufik Hidayat Tripena Br. Sb., Agustini Tripena Br.Sb, Agustini Triyani Triyani Wahyuni Alwi Weni Novandari Weni Novandari Wuryatmo Ahmad Sidik Zahrotul Aflakhah