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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) EKSAKTA: Journal of Sciences and Data Analysis Jurnal Ilmu Komputer dan Informasi MATEMATIKA Jurnal Sains dan Seni ITS IPTEK Journal of Science IPTEK Journal of Proceedings Series IPTEK The Journal for Technology and Science TELKOMNIKA (Telecommunication Computing Electronics and Control) Journal of Natural A Seminar Nasional Informatika (SEMNASIF) Science and Technology Indonesia Jurnal Matematika: MANTIK Syntax Literate: Jurnal Ilmiah Indonesia Business and Finance Journal Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) Indonesian Journal of Electrical Engineering and Computer Science Inferensi Proceeding ISETH (International Summit on Science, Technology, and Humanity) Sewagati PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND OFFICIAL STATISTICS
Nur Iriawan
Departemen Statistika Institut Teknologi Sepuluh Nopember
Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Other

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Analisis Pola Persebaran Pelanggan Telat Bayar Listrik Menggunakan Spatial Poisson Point Process Wijaya, Elizabeth Meiliana; Iriawan, Nur
Jurnal Sains dan Seni ITS Vol 14, No 1 (2025)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23373520.v14i1.155296

Abstract

Saat ini, permintaan energi listrik semakin meningkat dari hari ke hari, sementara sumber daya yang dibutuhkan untuk menghasilkan energi ini semakin sedikit. Oleh karena itu, penggunaan listrik harus diperhatikan dengan seksama. PT. Pe-rusahaan Listrik Negara (PLN) (Persero) merupakan perusa-haan penyedia jasa kelistrikan terbesar di Indonesia yang men-yediakan dua jenis layanan listrik, yaitu listrik prabayar dan pasca bayar. Pelanggan listrik pasca bayar perlu membayar tagihan listrik sesuai pemakaiannya di setiap akhir bulan kare-na pelanggan PLN telah diberikan hak untuk menggunakan aliran listrik di tempat tinggal mereka. Namun, masih banyak pelanggan PLN yang mengabaikan proses pembayaran tarif listrik tersebut. Salah satu metode yang cocok untuk melihat karakteristik pelanggan telat bayar listrik adalah dengan Spatial Poisson Process. Metode tersebut digunakan karena data lokasi pelanggan merupakan jenis data spatial point pattern, di mana jenis data tersebut dapat dianalisis dengan pendekatan Point Process. Model terbaik didapatkan dari model masing-masing kecamatan dengan AIC terendah, yaitu -299.012,122 dan jumlah pelanggan telat bayar listrik pada sebagian besar kecamatan secara signifikan dipengaruhi karakteristik daerah yang berbeda-beda, seperti jumlah keluarga pengguna listrik, jumlah koperasi aktif, dan proporsi pelanggan sukses bayar di bulan ke-6.
Bayesian Survival Mixture Model on Years of Schooling in West Papua Province Nitivijaya, Maulidiah; Iriawan, Nur; Kuswanto, Heri
Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2015: Proceeding ISETH (International Conference on Science, Technology, and Humanity)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/iseth.2375

Abstract

Education could be considered as one of the basic pillars to determine the performance indicator of a respective region. Year of schooling is one of the education indexes,which becomes the government's target in the 9-year compulsory education program. This index illustrates the importance of knowledge and higher-level skills. Meanwhile, West Papua Province as one of the youngest provinces in Indonesia is challenged to improve the quality of human resources, particularly in the underdeveloped regions. Therefore, it is important to identify the variables which influence the years of schooling in the West Papua province. Statistically, the type of data such as length of time is frequently used to be the survival analysis. Nevertheless, the distribution patternof the response variables is difficult to be analyzed. For that reason, this study applied mixture model on years of schooling. Mixture model estimation leads to the complex statistical problems with a number of parameters. Bayesian methods accomplish the estimation through the simulation process of Markov Chain Monte Carlo (MCMC). The survival mixture model was formed based on the status of county. Rural areas were evidenced to give the contribution of years of schooling distribution more than urban area up to 59.87 percent. The opportunity to obtain formal education at least to junior high school in urban areas was greater than rural area had, yet it went down faster in year 12-th or in senior high school level. In general, the factors which influenced the years of schooling in urban and rural areas turned out to be different.
Co-Authors Achmad Nuruddin Syaifulloh Adam Fahmi Fandisyah Adatul Mukarromah Agus Suharsono Ahyudanari, Ervina Akhmad Ridho Ashariansyah Almuhayar, Mawanda Ani Budi Astuti Ani Budi Astuti Anindya Apriliyanti Pravitasari Ari Purwanto Sarwo Prasojo Bani Unggul, Didik Brodjol Sutija Suprih Ulama Dwi Atmono AW Edijatno Edijatno Eko Fajariyanto Entin Hidayah Ferriastuti, Widiana Fithriasari, Kartika Hady Suryono Heri Kuswanto I Nyoman Latra Indira Swa Buana Irhamah Irhamah - Irwan Susanto Jupita Sari Ika Hanugraheni Mahendrawathi Mahendrawathi Mohammad Naufal Abdullah Muhammad Fajar Nadjadji Anwar Ni Luh Putu Ika Candrawengi Nitivijaya, Maulidiah Oktaviana, Pratnya Paramitha Pratnya Paramitha O Pratnya Paramitha Oktaviana Probo Prasetya, Andyk Purhadi Purhadi Rina Wahyuningsih, Rina Rinda Nariswari Santi Wulan Purnami Setiawan Sinta Septi Pangastuti Soehardjoepri Soehardjoepri Suci Astutik Suhartono Suhartono Sulhan Sulhan Susi Tri Wahyuni Taufik Azmi Tiza Ayu Virania Ulfa Siti Nuraini Viera Wardhani Wahyuni Suryaningtyas, Wahyuni Wijaya, Elizabeth Meiliana Wirajaya Kusuma Wiwiek Setya Winahju Wiyli Yustanti Zainiyah Hilda Paramita