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All Journal Jurnal Media Infotama International Journal of Artificial Intelligence Research ILKOM Jurnal Ilmiah INCODING: Journal of Informatics and Computer Science Engineering Jurnal Media Computer Science
Beti, Ila Yati
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Computer Science & IT Electrical & Electronics Engineering

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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.
Implementation of the Additive Ratio Assessment (ARAS) Method for Evaluating Company Leadership Performance Sartika, Devi; Sari, Venny Novita; Beti, Ila Yati
International Journal of Artificial Intelligence Research Vol 7, No 1.1 (2023)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i1.1.1710

Abstract

Evaluating the performance of company leaders is an important process in determining leadership effectiveness and organizational success. Performance assessments that rely on subjective judgments often lead to less accurate decision-making results. Therefore, a systematic and objective decision-making method is required. One method that can be used is the Additive Ratio Assessment (ARAS) method. ARAS is a multi-criteria decision-making method used to determine the best alternative based on the utility value obtained from each evaluation criterion. This study aims to implement the ARAS method in a decision support system to evaluate the performance of company leaders. The research process involves several stages, including determining evaluation criteria, assigning weights to the criteria, normalizing the decision matrix, calculating optimal values, and determining utility values. The criteria used in this study include leadership, decision-making ability, communication, responsibility, and organizational performance. The results of the study indicate that the ARAS method can provide objective and systematic evaluation results in determining the best leadership performance. With the implementation of a decision support system based on the ARAS method, companies can obtain more accurate evaluation results that can be used as a basis for decision-making in leadership development and improving the quality of company management
Network Infrastructure Design Of Gigabit Passive Ethernet Technology At Dehasen University, Bengkulu Khairil, Khairil; Jumadi, Juju; Beti, Ila Yati
International Journal of Artificial Intelligence Research Vol 7, No 1 (2023): June 2023
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i1.1711

Abstract

The development of information technology has significantly increased the demand for reliable and stable internet network infrastructure, especially in higher education institutions. Universities require efficient network systems to support academic activities, digital learning, research, and administrative services. This research aims to design a network infrastructure using Gigabit Passive Ethernet Network (GPEN) technology at Universitas Dehasen Bengkulu. The previous network infrastructure relied on wireless radio point-to-point connections which often experienced interference caused by obstacles such as buildings, trees, and weather conditions. The proposed GPEN-based infrastructure is expected to provide a more stable and efficient network connection compared to the previous system. The research method used is Research and Development (R&D), which includes observation, literature study, and laboratory testing. Network design is implemented using MikroTik devices such as NetPower, GPEN11, and GPeR to extend Ethernet connectivity. The results of this study show that the GPEN network implementation provides better bandwidth stability, reduces interference problems, and improves overall network performance. Therefore, the GPEN-based infrastructure can be considered an effective solution for improving campus network connectivity at Universitas Dehasen Bengkulu
Co-Authors Ahmad, Rahman Aprinsa, Roki Apriza, Wika Asnawati Asnawati Dewangga, Hoki Disriani, Niken Indra Kanedi Juju Jumadi Khairil Khairil Lianda, Deri Mahdalena, Desi Puspita, Nara Putra, Repal Kesatria Revaldo, Ahmad Reynaldi, Abdillah Ahmad Rizky, Muhammad Wahyu S Siswanto sapri sapri Sari, Venny Novita Sartika, Devi Setiawan, Alfin Yupianti, Yupianti