Article Per Year (5 Year)
p-Index From 2021 - 2026
3.51
P-Index
This Author published in this journals
All Journal Jurnal Informatika Kaputama (JIK) Jurnal Sistem Informasi Kaputama (JSIK) JTIK (Jurnal Teknik Informatika Kaputama) KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer Educate: Jurnal Ilmu Pendidikan dan Pengajaran Journal of Information Systems and Technology Research Journal of Artificial Intelligence and Engineering Applications (JAIEA) International Journal of Informatics, Economics, Management and Science Journal of Engineering, Technology and Computing (JETCom) Journal of Mathematics and Technology (MATECH) Jurnal Pengabdian Pada Masyarakat METHABDI Pascal: Journal of Computer Science and Informatics
Syahputra, Siswan
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Physics Public Health Social Sciences Transportation Other

Published : 25 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Journal of Engineering, Technology and Computing (JETCom)

 1 
GROUPING THE DEVELOPMENT OF PRICES OF BUILDING STAPLES IN BINJAI CITY BASED ON THE TYPE OF GOODS USING THE CLUSTERING METHOD : (Case Study: BPS Kota Binjai) Nurmaya, Nurmaya; Novriyenni, Novriyenni; Syahputra, Siswan
Journal of Engineering, Technology and Computing (JETCom) Vol. 2 No. 3 (2023): JETCom, November 2023
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/jetcom.v2i3.129

Abstract

The development of basic commodity prices is essentially a physical development activity. Various kinds of resources are processed with the power of human resources. The longer the processing process, the greater the added value for humans and the greater the costs required. One of the most widely used methods in the clustering method is to use the K-Means algorithm. K-Means is a non-hierarchical (block) grouping method that seeks to partition data into clusters/groups so that data with the same characteristics will be included in the clustering method. in the same cluster and data with different characteristics are grouped into another group. From the 20 data obtained 3 groups, Cluster 1 has 7 data, Cluster 2 has 6 data, and Cluster 3 has 7 data. And the most group obtained is cluster 1 and cluster 3.Cluster 1 contains 7 data, namely types of bricks with a fixed price of IDR 200 per piece in 2020 South Binjai. Cluster 2 contains 6 data, namely types of bathtub items with a fixed price of IDR 75,000 in 2020 South Binjai. Cluster 3 contains 7 data, namely the type of emulsion paint with a fixed price of IDR 300,000 in 2020 South Binjai.
Implementation of a decision support system for selecting palm oil processing waste disposal location in Pagar Merbau using the topsis method Nikpani, Karen; Syahputra, Siswan; Br.Sitepu, Kristina Annatasia
Journal of Engineering, Technology and Computing (JETCom) Vol. 4 No. 2 (2025): Journal of Engineering, Tecnology and Computing (JETCom)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/jetcom.v4i2.311

Abstract

The management of palm oil solid waste, particularly Empty Fruit Bunches (EFB), remains a major challenge in the palm oil industry due to its potential to cause environmental pollution if not properly handled. One solution to this problem is selecting appropriate disposal sites by considering various technical, environmental, and social criteria. This study aims to implement a Decision Support System (DSS) using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method for selecting palm oil waste disposal locations in Pagar Merbau. The criteria applied include land area, number of trees, soil type, plant age, nutrient requirements, and soil fertility. The system was developed using PHP and MySQL, and tested with the blackbox testing method. The results show that the system effectively supports decision-making by ranking alternative sites based on their highest preference values. Therefore, the implementation of a TOPSIS-based DSS proves to be effective in determining the most optimal location for palm oil waste disposal.
Co-Authors Abdullah Hamid, Abdullah Achmad Fauzi Agung Kurniawan Alfhi Syari, Mili Ambarita, Indah Ananda, Aulia Anjani, Mutiara Dwi Annatasia, Kristina Annisa Pratiwi, Annisa Arliana, Lina Br Sbt, Sri Devi Buaton, Relita Fakhrurrozy Cahyadi, Muhammad Fauzi Ahmad Muda Fauzie, Achmad Ferdillah, Tengku Didi Ginting, Emilia Br Indriana, Nurita Khair, Husnul Khairul, Habib Kristina Annatasia Br Sitepu Kusuma Wardhani Langgeng Restuono Liana Yuza, Iftitah Melda Pita Uli Sitompul Muammar Khadafi Nikpani, Karen Novreyenni, Novreyenni Novriyenni, Novriyenni nurmaya, nurmaya PA, Purnama Sari Br Pardede, Akim Manaor Hara Pramana, I Gusti Ratih Puspadini Rusmin Saragih, Rusmin Selfira, Selfira Setyawan, Eka Hari Sihombing, Anton Sihombing, Marto Simanjorang, Armadani Simanjuntak, Magdalena Sinaga, Rio tata, tatamustikadewi Wardhani, Diah Wardhani, Diah Wardhani Yani Maulita