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All Journal Jurnal Media Infotama 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

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Journal : Jurnal Media Computer Science

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Decision Support System For Recommending Expertise Programs Using Ahp Method Setiawan, Alfin; Asnawati, Asnawati; Beti, Ila Yati
Jurnal Media Computer Science Vol 4 No 1 (2025): Januari
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i1.7533

Abstract

SMK Negeri 3 Kota Bengkulu is a Vocational High School located in Bengkulu Province. At SMK Negeri 3 Kota Bengkulu there are 5 (five) Expertise Programs that can be selected by new students including Culinary, Fashion, Beauty and Spa, Computer Network and Telecommunication Engineering (TJKT) and Broadcasting and Film. Every new student who wants to register must choose one of the expertise programs available at SMK Negeri 3 Bengkulu City. The decision support system in providing recommendations for expertise programs using AHP Method can help provide recommendations for expertise programs that are appropriate and in accordance with the assessment criteria for prospective new students and can be used as a forum to assist schools for recommending the expertise programs of prospective new students at SMK Negeri 3 Bengkulu City. A decision support system for recommending expertise programs using the AHP Method is built web-based applications that can be accessed offline. Based on system testing that has been carried out, it can be concluded that the functional of the decision support system application for recommending expertise programs using AHP Method has run well and has successfully carried out AHP Method process on prospective student value data according to the school year and provides information on the results of the expertise program recommendations for each prospective student.
A Decision Support System For The Selection Of The Best Employees At CV. Adiguna By Applying The Preferences Selection Index Method Putra, Repal Kesatria; Yupianti, Yupianti; Beti, Ila Yati; Lianda, Deri
Jurnal Media Computer Science Vol 2 No 1 (2023): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v2i1.3440

Abstract

Technological Developments at this time, competition in the business world is getting tougher, to support this, companies must also improve their quality. On CV. Adiguna to increase the resources of his employees in improving the quality of his company is of course supported and influenced by the performance of employees who are competent in their field. Where in CV. Adiguna of Bengkulu City in giving awards to the best employees every year so far it is still done manually, this can certainly increase the enthusiasm of employees at work and always run a business by fulfilling several criteria set by CV Adiguna of Bengkulu City. Therefore to provide an objective assessment of employee performance, a Decision Support System is needed to select the best employees and provide rewards to employees, then to support the above, it is necessary to implement several Decision Support Systems at CV Adiguna of Bengkulu City based on the criteria that have been determined by the management of CV Adiguna of Bengkulu City. Decision support system for selecting the best employees at CV Adiguna of Bengkulu City by applying the Preferences Selection Index method is a desktop-based application that has implemented the Preferences Selection Index (PSI) method. This application can be used to assist in the process of selecting the best employees on CV Adiguna of Bengkulu City uses 5 predetermined criteria, then the assessment of these 5 criteria is processed using the Preferences Selection Index (PSI) method to produce a ranking that will be used to determine the best employee. Based on the results of the tests that have been carried out, it can be concluded that the decision support system for selecting the best employees at CV Adiguna of Bengkulu City by applying the Preferences Selection Index method is able to run well and can overcome data input errors besides that calculations are done manually with those carried out by the application producing the same output.
Application Of Mamdani Fuzzy Logic To Predict Rice Pest Attacks On Bp3 Bingin Kuning Reynaldi, Abdillah Ahmad; Sapri, Sapri; Beti, Ila Yati
Jurnal Media Computer Science Vol 4 No 2 (2025): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i2.8930

Abstract

The Agricultural and Fisheries Extension Centre (BP3) Bingin Kuning is an agricultural extension centre that carries out activities related to agricultural extension preparation, evaluation, management, and development across various sectors. Every year, BP3 Bingin Kuning collects data on temperature, humidity, rainfall, and the number of attacks by each type of pest that occurs. The application of Mamdani fuzzy logic to predict rice pest infestations at BP3 Bingin Kuning can help in obtaining information on rice pest infestations each year, serve as a basis for evaluating measures to address future pest infestations, and assist farmers in addressing potential pest infestations earlier, thereby supporting BP3 Bingin Kuning in its agricultural extension activities. Based on test data under conditions of 24°C temperature, 90% relative humidity, and 295 mm rainfall in 2024, the pest type with the highest predicted attack frequency is the Keong Mas pest. Based on the system testing conducted, it can be concluded that the functionality of the Mamdani fuzzy logic application for predicting rice pest attacks at BP3 Bingin Kuning is functioning well and capable of displaying pest attack prediction results in accordance with the stages of the Mamdani fuzzy logic system.
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