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All Journal Jurnal Media Infotama SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal Teknik Informatika UNIKA Santo Thomas JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Komputer, Informasi dan Teknologi Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Media Computer Science Jurnal Komputer Indonesia Jurnal Komputer
Prahasti, Prahasti
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Social Sciences Other

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Journal : Jurnal Media Computer Science

 1 
Application of the Certainty Factor Method in Diagnosing Expert Systems of Oyster Fungus Pests and Diseases Ronaldi, Ronaldi; Asnawati, Asnawati; Prahasti, Prahasti
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.v2i1.3340

Abstract

The Department of Agriculture and Food Security of Bengkulu Province is one of the government agencies that annually conducts outreach to farmer cultivators to increase crop yields. Therefore, in this study an expert system application was developed that can be used by cultivators to find out pests and diseases that attack plants based on the symptoms they experience. The expert system for diagnosing oyster mushroom pests and diseases at the Agriculture and Food Security Service of Bengkulu Province can be used as a tool to help diagnose oyster mushroom pests and diseases by entering the symptoms experienced by the oyster mushroom. This expert system for diagnosing pests and diseases of oyster mushrooms was created using the Visual Basic .Net programming language (IDE Visual Studio 2010). The expert system for diagnosing pests and diseases of oyster mushrooms has been applied to the Certainty Factor Method which is used to obtain a percentage level of certainty for pests and diseases of oyster mushrooms based on the symptoms experienced by oyster mushrooms. Based on the results of the tests that have been carried out, the functional application of the expert system for diagnosing oyster mushroom pests and diseases is running as expected and can provide information on the results of consultations in the form of a diagnosis of oyster mushroom pests and diseases
Expert System in Helping Students Diagnose Car Engine Damage Using the Expert System Development Life Cycle (ESDLC) Method Erwansyah, Riska; Wahyudi, Jusuf; Prahasti, Prahasti
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.v2i1.3347

Abstract

At school, especially in Automotive Vocational High Schools, a learning process is carried out by helping students to recognize and overcome problems that occur in motorbike/car damage. One of the SMKs that has an Automotive expertise program is SMK Negeri 2 Bengkulu City. So far, the automotive learning system has used books and pictures to support the learning process at school. However, this sometimes has problems, where students do not fully understand the material given, and on the other hand students have difficulty learning independently either in the school environment or at home. Expert systems in helping students diagnose car engine damage using the Expert System Development Life Cycle (ESDLC) method can be accessed online with internet access via the web link http://riska.vad.my.id. This expert system application is made using the PHP programming language and MySQL database. This expert system application has been embedded with the ESDLC method with the Forward Chaining inference engine which is used to trace damage to car engines based on the symptoms experienced by the car engine. This expert system application can help facilitate the understanding of students at SMK Negeri 2 Bengkulu City in diagnosing car engine damage, by providing consultation directions starting from entering symptoms to getting consultation results. Based on the system testing that has been done, it can be concluded that the functionality of the application has been running well and this expert system can provide consultation results based on the symptoms selected by the user through the stages of the Expert System Development Life Cycle (ESDLC) method.
Decision Support System, SAW Method, Best Journalist Selection, Harian Rakyat Bengkulu, Multi-Criteria Decision Making Andriansyah, Andriansyah; Kanedi, Indra; Prahasti, Prahasti
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.v4i2.8843

Abstract

The development of information technology has a significant impact on the world of journalism, including in efforts to improve the professionalism of journalists. PT. Rakyat Semarak Bengkulu Permai (Rakyat Bengkulu) as a press company continues to innovate, one of which is through periodic assessment of the best journalists. However, the assessment process that has been running so far still faces the obstacle of subjectivity and has not been supported by an objective and measurable system. This study aims to develop a web-based Decision Support System (DSS) using the Simple Additive Weighting (SAW) method to help the journalist assessment process more efficiently and objectively. This system is built using the PHP programming language and MySQL database, and is specifically designed so that it can only be accessed by the Editor-in-Chief. The test results show that the system is able to improve efficiency, objectivity, and accuracy in the process of assessing the best journalists in the company environment
Co-Authors Andalah, Haluan Saputra Andriansyah Andriansyah Aprianto . Asnawati Asnawati Astuti, Novi Bendrianti, Rita Prima Deti Karmanita Dialyu, Endrix Erwansyah, Riska Feri Hari Utami, Feri Hari Gultom, Victor Yonathan Handika, Elsi Harwini, Dewi Herlina Latipa Sari Indra Kanedi Jayawarsa, A.A. Ketut Jusuf Wahyudi Liza Yulianti Mashaq, Ferdynan Meizoni, Putra Nopriansyah, Agung Qurniati, Nofi Ronaldi, Ronaldi Rossa, Helvi Ramadhanti Sari, Venny Novita Sriyanto Sriyanto Supardi, Reno Thomas Meifialdy Yupianti , Yupianti