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All Journal International Journal of Computer and Information System (IJCIS) Jurnal Riset Sistem dan Teknologi Informasi
Pakarti, Moch Bagoes
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN LOKASI CABANG MINIMARKET TERBAIK MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING BERBASIS WEB Muqorobin, Muqorobin; Pakarti, Moch Bagoes; Dawis, Aisyah Mutia
Jurnal Riset Sistem dan Teknologi Informasi Vol. 2 No. 1 (2024): Jurnal Riset Sistem dan Teknologi Informasi (RESTIA) Vol. 2 No. 1
Publisher : Universitas Aisyiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30787/restia.v2i1.1207

Abstract

Minimarkets are shops that sell daily necessities. This mini market is located on Jalan Station Kauman, Krikilan Hamlet, Dawungan Village, Masaran District, Sragen Regency, Central Java Province. In developing inter-company leaders, it is difficult to make decisions about the location of new branches, because there are many criteria such as: strategic location, distance and population to facilitate decision making. The purpose of this study is that researchers assist company leaders in choosing the best new minimarket branch locations using the SAW algorithm method. This method was chosen because it is able to carry out the process of ranking and weighting the best alternatives by applying many criteria. The technique used in this research is observation (observation), interview (interview), and literature study. In the design of this system is made with Context Diagram, HIPO, DAD, relations between tables and database design. This application is made using the PHP programming language and the database uses MySQL. The final result is a report on the best location data. System testing is done by testing the functionality and testing the validity of the obtained results are 100% valid.
Expert System For Diagnosing Goat Diseases Using The Forward Chaining Method (case study of SHQ Nura Farm) Saputra, Aditya Aji; Efendi, Tino Feri; Pakarti, Moch Bagoes
International Journal of Computer and Information System (IJCIS) Vol 5, No 3 (2024): IJCIS : Vol 5 - Issue 3 - 2024
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v5i3.178

Abstract

Goats are livestock that provide many benefits for human life, such as meat and milk. Healthy goats will produce quality meat and milk. good so it increases the selling price. Disease can interfere with the growth of goats and if left untreated can kill goats. Most of the farmers still have low knowledge about disease control, whereas goat livestock diseases thrive in tropical climates such as Indonesia. The number of experts available in rural areas is still limited. Information technology such as expert systems can help farmers carry out early treatment of diseases that attack goat livestock. An expert system is a system that tries to adopt human knowledge to a computer, so that the computer can solve a problem as experts usually do. The research here uses the forward chaining method to solve problems that exist in goat livestock. Forward Chaining is a reasoning inference method that uses facts to reach conclusions. The results obtained are in the form of a simple website application to help determine goat diseases and are easy to operate by entering symptom facts of 2 - 3 visible symptoms. The results of the system testing showed 80% accuracy in diagnosing diseases in goats.
Decision Support System in Determining The Route of Delivery of Goods With The Maut and WP Methods at The Kasiyah Shop Rozaq Rais, Nendy Akbar; Efendi, Tino Feri; Pakarti, Moch Bagoes
International Journal of Computer and Information System (IJCIS) Vol 5, No 4 (2024): IJCIS : Vol 5 - Issue 4 - 2024
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v5i4.221

Abstract

The rapid development of information technology has encouraged many companies to switch to digital platforms, including in the retail and trade sectors. Decision Support System (DSS) is one solution that can be used to help the route selection process. An effective and efficient goods delivery process is essential to support the success of logistics operations. An effective and efficient shipping process is essential to support the success of logistics operations. However, this process is often complicated and time-consuming, especially when companies receive many orders from different locations.. To overcome this challenge, the use of a Decision Support System (DSS) can be the right solution. There are various methods that can be used in DSS to support the delivery route selection process, researchers conducted research using the MAUT (Multi-Attribute Utility Theory) and WP (Weighted Points) methods. The results of this study are expected to help improve the effectiveness and efficiency of the selection process, as well as ensure that the selected route has the necessary mileage to support the operational success of logistics companies.
Co-Authors Aisyah Mutia Dawis Efendi, Tino Feri Muqorobin, Muqorobin Rozaq Rais, Nendy Akbar Saputra, Aditya Aji