Article Per Year (5 Year)
p-Index From 2021 - 2026
1.704
P-Index
This Author published in this journals
All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JSAI (Journal Scientific and Applied Informatics) Jambura Journal of Electrical and Electronics Engineering Jurnal Nasional Cosphi Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer (BALOK) Journal Of Informatics And Busisnes
Sudirman S. Panna
Universitas Ichsan Gorontalo
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 12 Documents
Search

 1   2 
Penerapan Metode Apriori Pada Transaksi Penjualan Spare Parts Mobil Maryam Hasan; Sudirman S Panna; Siska Udilawati; Almer Hassan Ali
Journal Of Informatics And Busisnes Vol. 3 No. 2 (2025): Juli - September
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v3i2.3093

Abstract

Until now, commercial vehicle manufacturers continue to innovate their products. One of the manufacturers is PT Nenggapratama Prima Nusantara, engaged in trade and services, namely HINO brand vehicles, spare parts, and services in direct collaboration with PT. Hino Motors Indonesia. The high demand and various types of spare parts certainly drive PT. Nenggapratama Prima Nusantara to maximize existing stock. It aims to ensure that there is no accumulation or shortage of goods. It is important to know the purchasing behavior of customers about which spare parts they buy together. One of the data processing methods usable for this problem is data mining with association analysis using Apriori algorithm. It is a data mining technique that produces rules to determine consumer habits in buying goods simultaneously at once. Based on the results of research using the Apriori method, the largest value (Support x Confidence) is obtained at 0.33. The biggest possibility is that if you buy the Dutro E-4 Fuel Strainer Kit, you will also buy Element Sub Assy Oil with a value of 0.33. Therefore, it can be seen that related spare parts can be arranged simultaneously.
Grouping of Areas Based on Flood Disaster Level Using K-Means Clustering Algorithm Maryam Hasan; Sudirman S. Panna; Abd. Rahmat Karim Haba; Apriyanto Alhamad
Jambura Journal of Electrical and Electronics Engineering Vol 8, No 1 (2026): Januari - Juni 2026
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v8i1.33145

Abstract

The Province of Gorontalo is highly vulnerable to flood disasters due to its geographical conditions, high rainfall, and uncontrolled land-use changes. This study aims to apply the K-Means Clustering algorithm to classify regions based on flood impact levels to support disaster mitigation and decision-making processes by the National Search and Rescue Agency (BNPP) Gorontalo. The dataset comprises 405 disaster incident records obtained from related institutions, including the number of affected, injured, deceased, and missing individuals. The analysis process involves data collection, preprocessing, distance calculation using the Euclidean Distance method, and the formation of two clusters based on impact levels. The iteration process stopped at the second iteration, indicating that a stable (convergent) condition had been achieved. The results revealed that Cluster 1 (C1) includes areas significantly affected by floods such as Imana, Iloheluma, and Tudi villages, while Cluster 2 (C2) represents unaffected areas like Wapalo, Ilomata, Motihelumo, and others. The implementation of the K-Means algorithm proved effective in identifying disaster-prone regions objectively and data-driven, thus supporting more efficient disaster response planning.
Co-Authors Abd. Rahmat Karim Haba Almer Hassan Ali Apriyanto Alhamad Betrisandi, Betrisandi Haditsah Annur Hariati Husain Husdi Irma Surya Kumala Idris Kamase, Hamka Witri Kartika Chandra Pelangi lahabu, sintiya Lepi, Andriyanto Maryam Hasan Mohamat Hamet Helingo Ningrum Muj Qurnia Shandy Rahmad Harun Rezqiwati Ishak Rifadel Umbas Rofiq Harun salim, Muh Siska Udilawati Sudirman Melangi Yusrianto Malago