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All Journal CARADDE: Jurnal Pengabdian Kepada Masyarakat IJISTECH (International Journal Of Information System & Technology) JOURNAL OF SCIENCE AND SOCIAL RESEARCH JURNAL PIONIR Community Development Journal: Jurnal Pengabdian Masyarakat IJISTECH JOURNAL OF HUMANITIES, SOCIAL SCIENCES AND BUSINESS (JHSSB) Review of Multidisciplinary Education, Culture and Pedagogy (ROMEO) CASHFLOW : CURRENT ADVANCED RESEARCH ON SHARIA FINANCE AND ECONOMIC WORLDWIDE Jurnal Riset Pendidikan dan Pengajaran (JRPP) Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Jurnal Komputer dan Teknologi (JUKOMTEK) Jurnal Pengabdian Masyarakat dan Riset Pendidikan
Apdillah, Dicky
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Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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Analysis of Fertilizer Requirements in Red Chili Cultivation Using an Artificial Neural Network Approach Marpaung, Mairani; Apdillah, Dicky; Ayyub, Muhammad Azwar Al
IJISTECH (International Journal of Information System and Technology) Vol 8, No 6 (2025): The April edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i6.387

Abstract

Red chili farmers on the East Coast of North Sumatra still rely on manual calculations to determine the use of NPK Biru 16 Mutiara fertilizer, often leading to inaccurate and inefficient fertilizer application. This study proposes the Backpropagation method within Artificial Neural Networks (ANN) as a solution to analyze fertilizer needs more precisely. The method enables the system to learn from historical data and plant growth patterns, providing accurate recommendations for the type and amount of fertilizer required. The implementation of ANN in this context not only enhances agricultural efficiency but also supports environmental sustainability by minimizing excessive fertilizer usage.
Analysis of the Potential and Business Development Opportunities in Catfish Farming Using Artificial Neural Networks Rianda, Kiki Rizki; Apdillah, Dicky
IJISTECH (International Journal of Information System and Technology) Vol 8, No 6 (2025): The April edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i6.384

Abstract

In recent years, there has been a significant increase in catfish consumption. The average consumer demand reaches 50 to 100 kg with a catfish harvest age of about 2.5 months. Catfish farming has not only increased the income of the community but has also transformed those who previously had no knowledge of how to farm catfish and the potential of utilizing yard land into successful catfish farmers. In connection with this, the author intends to recognize more deeply the potential and opportunities of catfish farming in Air Hitam Village, Kualuh Leidong District. In this research, the author applies the Learning Vector Quantization (LVQ) method, which is one of the approaches in Artificial Neural Networks. Learning Vector Quantization (LVQ) is a competitive layer training technique with a supervised learning approach, which uses a network structure with a single layer. The use of Artificial Neural Network (ANN) is a sophisticated way that can be applied to manage catfish farming business. The results showed that the use of the LVQ method in analyzing catfish farming data can help farmers make more informed decisions, predict business development, and increase yields and profits.
Analysis of Nutritional Needs In Elementary School-Aged Children In Remote, Underdeveloped, and Border Regions Using Android-Based Artificial Neural Network Method Febriani, Arisa; Apdillah, Dicky
IJISTECH (International Journal of Information System and Technology) Vol 8, No 6 (2025): The April edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i6.385

Abstract

The nutritional needs of elementary school children are very important to support their growth, development, and learning abilities. Good nutrition is essential to support the growth of bones, muscles, and organs. In addition, protein, calcium, and iron intake are very important. Nutrition also affects brain function, including children's concentration and memory. One of the schools where various factors related to children's nutrition can be studied is State Elementary School 134633 Tanjung Balai. It is hoped that the analysis of nutritional needs in school children can provide an overview of food consumption patterns, nutritional status, and the factors that influence them. The system developed using the Artificial Neural Network (ANN) model with the Backpropagation algorithm successfully analyzed the nutritional status of children based on the data provided. By categorizing nutritional status into thin, fat, and normal, the system can provide adequate results for the nutritional analysis needs of Elementary School Children in the 3T Area.
Co-Authors Adila, Lica Afni Dwi Pertiwi, Riki Wirayuda Al Ayyub, Muhammad Azwar Al Azmi, Chairanda Ayyub, Muhammad Azwar Al Azhari, Dea Tiara Azmi, Chairanda Al Azura, Putri Bahmid Dea, Emi Deri, Afif Elza Ms, Muhammad Fadli Emiel Salim Siregar Febriani, Arisa Febriansyah, Muhammad Reza Hafiz, Utami Wardah Harahap, Himmatul Ummi Harahap, Puteri Leida Ratna Hayati Harmika, Zuwairiah Hidayat, Riyan Fiqri Irwansyah Irwansyah Irwansyah, Bambang Ismail Ismail Kurniawan, Alwi Lubis, Agrinda Aulia Lubis, Lili Kahirina Azhari Lubis, Lili Khairani Azhari Mangunsong, Juliana Manik, Susih Gajah Marpaung, Dinda Munifah Marpaung, Mairani Marpaung, Samsul Komar Nabila, Nabila Nabila, Putri Julia Nadapdap, Nadila Br Nadeak, Bill Yansen Napitupulu, Celly Naomi Sarah Br Nasution, Annisa Ndraha, Riski Perdamaian Nur Isnaini, Nur Oktaviana Nirmala Purba Panjaitan, Dinda Azura Panjaitan, Khairunnisak Panjaitan, Rahmadani Fitri Pertiwi, Afni Dwi Putri Putri, Putri R, M. Syaiful Zuhri Rahmadani, Desy Rahmadhi, Yudha Rahmat Rahmat Rianda, Kiki Rizki Rizkika, Tia Sahera, Miri Salam, Agus Saragih, M.Rajuddin Saragih, Sri Rahmah Dewi Shintia, Sindi Siagian, Angela Ekklesia Siagian, Zairul Abdi Sihombing, M Hafiz Nurhasan Simanjuntak, Angelina Deasyta Simanjuntak, Cici Rahma Alia Sirait, Deviana Dewi Siregar, Raja Syahmuda Sitorus, Arwan Pradoki Sitorus, Dormada Lestari Luhur Sitorus, Muhammad Aldi Prayuda Stefanny, Nandika Tiara Puteri Suganda, Sheva Febrian Sukmawati, Nirwana Surbakti, Febby Andriana Syahputra, Eko Bayu Syahrunsyah, Syahrunsyah Syapiq, Mirza Syuhaila, Rienda Tamba, Joshua Robinsar Tania, Ira Widari, Sinta Wijaya, Chandra Ridho Yuwanda, Yuwanda Zannah, Amira Harisatul Zuwandana, Ahmad