Article Per Year (5 Year)
p-Index From 2020 - 2025
1.857
P-Index
This Author published in this journals
All Journal Jurnal Media Infotama ILKOM Jurnal Ilmiah INCODING: Journal of Informatics and Computer Science Engineering Jurnal Media Computer Science
Beti, Ila Yati
Unknown Affiliation
Computer Science & IT

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

Found 12 Documents
Search

 1   2 
Implementasi Metode Saw Pada Sistem Pendukung Keputusan Penerima Bantuan Langsung Tunai Dana Desa (BLT-DD) Rizky, Muhammad Wahyu; Kanedi, Indra; Beti, Ila Yati
Jurnal Media Infotama Vol 21 No 2 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i2.9165

Abstract

In determining the recipients of direct cash assistance for village funds (BLT-DD), Karya Pelita Village still uses a manual method with village meetings. In its application, village meetings are considered less efficient and prone to conflicts of interest. This needs to be overcome with a system that can help the decision-making process quickly, accurately and fairly. The decision support system for direct cash assistance recipients of village funds uses the Simple Additive Weighting (SAW) method. The process involves determining criteria, giving weights, and normalizing data to produce a preference value that is the basis for decisions. This system is designed with PHP programming language and MySQL database. This research produces a system that is able to increase efficiency and accuracy in determining recipients of direct cash assistance for village funds, and reduce conflicts of interest. Based on the results of data testing as many as 14 alternative recipient candidates, the final results showed that 10 alternatives had the highest score and were eligible to receive assistance, and 4 other residents were declared ineligible for BLT-DD assistance.
Implementasi Metode K-Means Clustering Untuk Pengelompokan Data Penjualan Pada Minimarket Remaja Kampus Bengkulu Aprinsa, Roki; Siswanto, Siswanto; Beti, Ila Yati
INCODING: Journal of Informatics and Computer Science Engineering Vol 2, No 2 (2022): INCODING OKTOBER
Publisher : Mahesa Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34007/incoding.v2i2.302

Abstract

Campus Youth Minimarket is one type of business in the field of selling daily necessities. For decision making in determining the amount of product inventory that can be adjusted to market demand, the Campus Youth Minimarket has not used the system and is still calculated manually. Therefore, this research was conducted with the aim of implementing the K-means Clustering method in grouping sales data at the Bengkulu Campus Youth minimarket. So that it can easily determine and classify high, medium and low product sales. The implementation of the system uses the PHP programming language and MySQL database and the method used in this research is the waterfall method. After the K-means process was carried out at the Campus Youth Minimarket with 15 data data tests, 3 clusters of goods were obtained, namely cluster 1 as a high sales cluster with 7 items, cluster 2 with moderate sales of 4 items and 4 items in a low sales cluster. Based on the results of processing 278 data on sales of goods in December 2021 at the Campus Youth Minimarket using the K-Means Clustering Method, the results of the grouping of product sales levels at the Bengkulu Campus Youth Minimarket were 3 clusters. Namely cluster 1 group with a high level of product sales with a total of 54 product data, cluster 2 with a moderate level of product sales with 165 types of products and cluster 3 with a low level of product sales with 51 total products. Based on the data cluster, it can be used as a reference by the Campus Youth Minimarket for the following month's product inventory. Which product clusters that have a high level of sales have a high or stable number of orders as before. Then product clusters with low sales levels, then the amount of product inventory for the next is reduced so that there is no accumulation of products in the warehouse and experiencing expiration.
Co-Authors Ahmad, Rahman Aprinsa, Roki Apriza, Wika Asnawati Asnawati Dewangga, Hoki Disriani, Niken Indra Kanedi Khairil Khairil Lianda, Deri Mahdalena, Desi Puspita, Nara Putra, Repal Kesatria Revaldo, Ahmad Reynaldi, Abdillah Ahmad Rizky, Muhammad Wahyu S Siswanto sapri sapri Setiawan, Alfin Yupianti, Yupianti