Article Per Year (5 Year)
p-Index From 2021 - 2026
7.271
P-Index
This Author published in this journals
All Journal Gorga : Jurnal Seni Rupa JTSL (Jurnal Tanah dan Sumberdaya Lahan) Jurnal Ampere The Indonesian Biomedical Journal Biomedical Journal of Indonesia Jurnal Pertanian Terpadu Martabe : Jurnal Pengabdian Kepada Masyarakat JURNAL PENDIDIKAN TAMBUSAI IJISTECH (International Journal Of Information System & Technology) JOURNAL OF SCIENCE AND SOCIAL RESEARCH SRIWIJAYA JOURNAL OF MEDICINE JSI (Jurnal sistem Informasi) Universitas Suryadarma Psikostudia : Jurnal Psikologi Agroekoteknologi Tropika Lembab Poltekita : Jurnal Ilmu Kesehatan JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Community Development Journal: Jurnal Pengabdian Masyarakat TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal REKSA: Rekayasa Keuangan, Syariah dan Audit Ekonomi Bisnis Manajemen dan Akuntansi (EBMA) IJISTECH Jurnal Pengabdian Masyarakat: Humanity and Medicine Hukum Responsif : Jurnal Ilmiah Fakultas Hukum Universitas Swadaya Gunung Jati Cirebon Journal of Community Development Jurnal Teknik Elektro Jurnal Teknik Sipil Dinamis Jurnal Minfo Polgan (JMP) Digital Transformation Technology (Digitech) Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Innovative: Journal Of Social Science Research Jurnal Pengmas Kestra (JPK) Local History & Heritage Jurnal Informatika Ekonomi Bisnis Jurnal Pustaka Dianmas Tarbiyah: Jurnal Ilmu Pendidikan dan Pengajaran Jurnal Inovatif : Inovasi Teknologi Informasi dan Informatika Jurnal Literasi Pengabdian dan Pemberdayaan Masyarakat Jurnal Indonesia Mengabdi (JIM) jle PUBLIDIMAS Edukatif: Jurnal Pengabdian Masyarakat Economic Development Progress
Surya Darma
Program Studi Pendidikan Biologi FKIP Untan, Pontianak
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 70 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Journal of Computer System and Informatics (JoSYC)

 1 
Algoritma Bayesian Regulation untuk Prediksi Kemiskinan Sebagai Evaluasi Awal Mendukung Kebijakan Ekonomi Hijau Firzada, Fahmi; Darma, Surya
Journal of Computer System and Informatics (JoSYC) Vol 6 No 1 (2024): November 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v6i1.6011

Abstract

This study aims to utilize the Bayesian Regulation algorithm to predict poverty in Simalungun, Pematangsiantar, Asahan, Batu Bara, and Tebing Tinggi, as an initial step to evaluate the Green Economy policy. Poverty remains a serious issue, particularly in Pematangsiantar and Simalungun, where social inequality and limited access to basic services are prevalent. High poverty rates and limited resources present significant challenges to improving community welfare. The Green Economy policy could be a potential solution to reduce the negative environmental impact of development and enhance community well-being. This research uses secondary time-series poverty data from 2012 to 2023, obtained from the Central Bureau of Statistics of North Sumatra, based on the basic needs approach. The applied Machine Learning algorithm is Bayesian Regulation, used to predict poverty levels in these areas based on five architectural models (10-5-1, 10-10-1, 10-15-1, 10-20-1, and 10-25-1). The 10-25-1 model was selected as the best model due to its smallest MSE (error), 0.00218055780, compared to the other four models. This study aims to provide insights into the development of poverty in these regions and offer an initial evaluation of the effectiveness of the Green Economy policy. It is also expected to propose more effective policy recommendations for reducing poverty and supporting environmental sustainability, particularly in Pematangsiantar and Simalungun.
Pemanfaatan Algoritma Levenberg-Marquardt untuk Analisis Prediksi Persentase Penduduk yang Melakukan Pengobatan Sendiri Darma, Surya; Firzada, Fahmi
Journal of Computer System and Informatics (JoSYC) Vol 6 No 1 (2024): November 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v6i1.6153

Abstract

Self-medication is a practice in which individuals use drugs or administer treatments without a doctor's prescription or medical supervision. This phenomenon has become a significant health issue in Indonesia, particularly in the city of Pematangsiantar and Simalungun Regency, where many residents tend to self-medicate without receiving adequate medical consultation. Therefore, the aim of this study is to analyze the predicted percentage of health independence development among residents who self-medicate in Pematangsiantar and Simalungun Regency using the Levenberg-Marquardt algorithm. The research data consists of time-series data on the percentage of residents self-medicating in Pematangsiantar and Simalungun Regency from 2018 to 2023, obtained from the Central Statistics Agency of North Sumatra. The analysis was conducted using five architecture models: 4-5-1, 4-10-1, 4-15-1, 4-20-1, and 4-25-1. The results show that the Levenberg-Marquardt algorithm with the 4-15-1 architecture model provided the best performance, with the lowest Mean Squared Error (MSE) value of 0.0268691174 compared to the other architecture models. This study is expected to assist local governments by providing information on the development of the percentage of residents who self-medicate in Pematangsiantar and Simalungun Regency, enabling them to formulate the best policies for improving public health in the region in the future. This research also contributes to the development of artificial intelligence-based health prediction methods, particularly for analyzing the percentage of self-medicating residents in complex and dynamic regional contexts.
Co-Authors . Apriansyah ., Berliyanto ., Wibisono Abdullah, Ilmi Adinata, Triawan Agustria, Amanda Aldian, Muhammad Yudi Alfathoni, Muhammad Ali Mursid Alferon, Hazalin Algifari, M. Ridho Novtriawan Al’amudi, Ivana Supi Angie, Evelyn Annisa Fithria Annisa, Rifka Anriyana, Sri Sukma Aprian, Rara Baitul Yuli Apriansyah Arda, Dina Yulia Argiyanti, Anitya Arikha Saputra Asrar, Leni Devera Asrori, Muhamad Amin Asrullah Asrullah, Asrullah Azmi Ginting, Naufal Bagus Adi Nugroho Bahar Bahar, Bahar Bangun, Sri Melda Berliyanto, Berliyanto Damanik, Abdi Rahim Desi, Efani Dewi Wahyuni Dhonanto, Donny Eddy Mart Salim, Eddy Mart Eka Irawan Elhias Nst, Mas Ayoe Ellanda Purwawijaya Fachrezi, Harahap Adrie Fadhila, Adinda Khairunnisyah Fahrunsyah, Fahrunsyah FIKRI HAIKAL Firzada, Fahmi fithry tahel, fithry Ginting, Erwin Ginting, Rosita Ginting, Subhan Hafiz Nanda Hadi Pranoto Harahap, Muhammad Farhan Harianto Harianto Harianto Helena, Shifa Hendrawan, Jodi Hendri Budi Kurniyanto Herman, Naina Azzahra Hermansyah Hermansyah Hermayeni, Hermayeni Hertanto, Rusdian Heru Satria Tambunan, Heru Satria Hery Widijanto Hidayat, Wahyu Handoyono Husna, Auliya Ul Ibni Aura Sasabela Idris, Suria Darma Ikha Safitri Ilham Syahputra Saragih IMANG, NDAN Indra Gunawan Indrajaya, Taufik Indrawan, Yudhistira Fauzy Irmayani Irmayani John Juliandra, Obie Khairul Amri Kriswiastiny, Rina kurniati, nova Kushadiwijayanto, Arie Antasari Liliana Puspa Sari Lubis, Yuliani Mardiati M. Rhifky Wayahdi Manesah, Dani Mardiati Mardiati MARIA BINTANG Matra, Ikahariya Pratiwi Mediarty, Mediarty Mega Sari Juane Sofiana Mikhael, Rodry Minsas, Sukal Monang, Sori Muchsin, Kasron Muhammad Reagan Muharraran, Firdha Mulya, Mhd. Ade Mulyadi Mulyadi Mulyadi, Asri Muthia, Putri Muthia, Putri Mutiar Mutiar, Mutiar Nasution, Muhammad Iqbal Nefi Darmayanti Nora Idiawati Nur Riviati, Nur Nurdiansyah, Sy. Irwan Nurdiansyah, Syarif Irwan Nurhartanto, Nurhartanto Nurhasanah Nurhasanah Nurrohman, Aji Okprana, Harly Overnandes, Overnandes Paranoan, Ria Rachel Parinduri, Anggi Isnani Perbata, Rangga Wira Polem, Haga Putra Arza Prayitno, Dwi Imam Purnomo, Aji Putra, Dian Eka RACHMAT HIDAYAT Radiyati Umi Partan, Radiyati Umi Rahim Damanik, Abdi Rahman, Dedy Rahman, Nopijal Rizki Rahmayanti, Putri Intan Ramadani, Alpin Ramadhan, Noor Muhammad Rani, Nesa Mutia Rezeki, Rezeki Rizky Khairunnisa Sormin Rizqa Amelia, Rizqa Robiansyah, Wendi Roro Kesumaningwati Rudiyanto Rudiyanto, Rudiyanto ruziq, fahmi S, Budiman Sagala, Very Edward Charles Sahara, Natasha Taqwa Salsabila, Ghaisani Samosir, Marsiti Jalianti Samura, Jul Asdar Saputra, Rizky Nanda Saputra, Sardinal Sarwoto Sarwoto, Sarwoto Setiawan, Candra Budi Siadari, Eva Nava Sari Sigit Wibisono Silitonga, Aira Priamas Sirait, Abadihon Fazli Siregar, firman Goliath Ardyna Siregar, Sri Hilma Siti Aliyah Sri Wahyuni Sridewi, Nurmala Suhairi Suhairi Suherman, R.M. Edy Suherman, Suherman Sukal Minsas Sumarno . Syahputri, Aprilia Taufan Purwokusumaning Daru, Taufan Purwokusumaning Tia Nuraya Triandy, Okta Triyono Budi Santoso Umi Partan, Radiyati Usman, Khairul Veithzal Rivai Zainal Warsidah, Warsidah Wibisono Wibisono Widodo Saputra Yulianto kusnadi Yuniza, Yuniza Yusman, Yanti Yusuf Arief Nurrahman Zahari, Cut Latifah Zahrawani, Anggie