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Journal : The Indonesian Journal of Computer Science

Analysis and Design of e-Commerce Application “PALMARKET” based on Mobile Android as a Media for Selling Quality Palm Seeds and Seeds Maudy Hellena Harlyn; Fajar Maulana; Ardila; Ratu Mutiara Siregar; Amru Yasir; Tuty Ningsih; Friska Anggraini Barus; Rahmad Dian
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4113

Abstract

In this digital era, the use of e-commerce mobile applications is very useful to reach sales and purchases widely and is easy, fast and convenient to use for the community. Until now, there has not been found e-commerce that is devoted to selling seeds and plant seeds, especially oil palm plants that can be trusted. In fact, there are many farmers who buy the wrong seeds, resulting in long-term problems in the oil palm plantation industry whose production is decreasing. Therefore, the sale of seeds and plant seeds needs support through a trusted e-commerce Mobile Application so that farmers do not need to be afraid to buy quality oil palm seeds. The development method used in this research uses the Waterfall method. The results of this study are in the form of e-commerce Mobile Application as a means of buying and selling oil palm seeds and seeds that are easy and reliable throughout the region
Implementasi Sistem Pendukung Keputusan Menggunakan Algoritma MOORA untuk Pemilihan Jenis Bibit Cabai Unggul Al Akbar, Abdussalam; Yasin, Alimuddin; Alex Rizky Saputra; Sepriano; Siregar, Ratu Mutiara; Budy Satria; Elfitra
The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i6.3464

Abstract

Cultivating chili plants is a business opportunity that has quite a large income. However, many farmers still use traditional concepts in determining which seeds to plant, such as trying out chili seeds without carrying out in-depth analysis or observation. A decision support system (DSS) is a system that is capable of providing decision recommendations using several criteria determined through method processes in the decision making system, namely ARAS, SAW, MOORA, AHP and others. The MOORA method is useful for separating the subjective part of an evaluation process into a decision weight criterion with several decision making attributes. And also the level of selectivity of this method is very good because it can determine objectives from conflicting criteria. Where the criteria can be profitable (benefit) or unprofitable (cost). Based on the results obtained after using the MOORA calculation method, there are 4 types of superior seed varieties that can be recommended for farmers, namely Taro Chili Seeds = 0.2875; Indrapura Chili Seeds = 0.2595 ; Lado Chili Seeds = 0.2490 ; Chili Seeds TM = 0.2154. By creating this decision support system, it is hoped that farmers will be able to use it as a reference in selecting superior chili seeds and be able to get maximum harvest results and increase commodity income for chili farmers.
IMPLEMENTASI METODE DEMPSTER SHAFER PADA SISTEM PAKAR UNTUK MENDIAGNOSIS PENYAKIT TROPIS Siregar, Ratu Mutiara
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.4071

Abstract

Tropical diseases are various infectious diseases that occur frequently in tropical and subtropical regions. These diseases can be caused by infections from viruses, bacteria, fungi, and parasites, and are usually transmitted through vectors or direct contact. In Indonesia, some common tropical diseases include dengue fever, malaria, elephantiasis, tuberculosis, worm infections, and fungal infections. Understanding tropical diseases is crucial to finding ways to diagnose and treat them. Therefore, one method that can be used in this research is the expert system based on the Dempster-Shafer method. This method can be used to diagnose tropical diseases with high accuracy, thus enabling more effective treatment and prevention. The expert system using the Dempster-Shafer method is designed using symptom data of tropical diseases collected from an expert. The result obtained from this research is a system that functions to solve problems and provide information about diseases along with symptoms experienced by the user. By using a web-based system as access for the public, it becomes easier for them to obtain accurate results and information.