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All Journal Jurnal Media Infotama Jurnal Teknik Informatika UNIKA Santo Thomas JOURNAL OF SCIENCE AND SOCIAL RESEARCH JURNAL SURYA ENERGY JUKI : Jurnal Komputer dan Informatika MEANS (Media Informasi Analisa dan Sistem) INCODING: Journal of Informatics and Computer Science Engineering Jurnal Komputer, Informasi dan Teknologi Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Dehasen Untuk Negeri Jurnal Media Computer Science Digital Transformation Technology (Digitech) Jurnal Komputer Indonesia Informasi interaktif : jurnal informatika dan teknologi informasi Jurnal Inovasi Kerja Nyata (JIKN)
Fredricka, Jhoanne
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Journal : Jurnal Media Computer Science

 1 
Application Of Composite Performance Index (Cpi) Method In Decision Support System Election Of Best Village Head In North Bengkulu District Andre pranata, Andre Pranat; Supardi, Reno; Fredricka, Jhoanne
Jurnal Media Computer Science Vol 3 No 2 (2024): Juli
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v3i2.5786

Abstract

The selection of the best village head is one of the programs of North Bengkulu Regency with the aim of improving the performance of each elected village head. A decision support system is an alternative system that aims to help make decisions through the use of data and decision models to solve semi-structured and unstructured problems. The aim of this research is to build a decision support system by applying the composite performance index (CPI) method as a decision making method that is able to assist the district in assessing the best village head according to predetermined criteria. This research produces a system that can help provide recommendations for the best village heads based on calculations of criteria set by the selectors.
The Implementation Of Certainty Factor Method For Diagnosing Diseases In Children Al-Mubdi, Muhammaad Abid; Siswanto, Siswanto; Fredricka, Jhoanne
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.v4i1.7536

Abstract

An expert system is a system in the form of a computer application that seeks to adopt human knowledge in the form of a program with the intention of solving certain problems. Knowledge about something from expert is adopted into an expert system so that the system can diagnose and analyze a problem. Lack of knowledge about childhood diseases such as ARI, diarrhea and Pneumonia, can be fatal to health, therefore to help the community and medical personnel in providing knowledge, consultation and socialization about these diseases is to design and build expert system applications by applying the Certainty Factor method. Expert systems using the Certainty Factor method have the advantage of being able to measure something whether it is certain or uncertain, for example in diagnosing a disease. However, this system also has the disadvantage of only being able to process uncertainty or certainty of only 2 data. The final result of this research is an expert system to diagnose childhood diseases (ARI, Diarrhea, Pneumonia) along with the confidence value of the diagnosed disease, which shows the level of system confidence in the disease.
Application of the Naive Bayes Method in the Classification of Employee Status at PT. Prosperous New Light Rahmat S, Khaerullah; Kanedi, Indra; Fredricka, Jhoanne
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.v2i1.3395

Abstract

Sinar Baru Makmur In determining the extension of an employee's contract, it is taken from the results of an employee's performance appraisal, if the performance results are good or very good, a contract extension will be carried out. However, in determining the results of employee contract extensions there are still some subjective judgments, and family relationships that create gaps with other employees in determining the final outcome of the assessment. To avoid subjectivity in evaluating employee performance, this study created an application for evaluating employees by classifying them using the Naive Bayes method. Employee status classification application at PT. Sinar Baru Makmur is created using the Visual Basic .Net programming language. The application can help manage employee performance appraisal evaluation data and can also help provide recommendations for the eligibility of employee status whether to be extended or not renewed based on the classification results of the Naive Bayes Method.
Create An E-Raport Application Using The Laravel Framework And Mysql Tahari, Arzan; Kalsum, Toibah Umi; Fredricka, Jhoanne
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.v4i2.8915

Abstract

Learning outcome reports are written evidence of student learning progress over time. The data recorded in the student learning outcome report can be used to track student progress, identify student strengths and weaknesses in several subjects. This research aims to develop a web-based E-Raport application using the Laravel Framework and MySQL. This research was conducted at SD Negeri 33 Seluma. Located in Lubuk Betung Village, Semidang Alas Maras District, Seluma Regency, Bengkulu Province from October to November 2024. The result of this research is the creation of an E-Raport application that has features of managing student data, inputting grades, calculating grades, and making report cards.
Implementation Of Data Mining In Forecasting Herbal Medicine Sales At Cv. Anugerah Alam Indonesia Using The Linear Regression Method Lesmana, Ferdi; Elfianty, Lena; Fredricka, Jhoanne
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.v4i2.9030

Abstract

CV. Anugerah Alam Indonesia is a company engaged in the production and sale of herbal medicines. The main issue faced by the company is the inaccuracy in estimating production quantities, which often leads to either overstocking or stock shortages. This research aims to develop a sales forecasting application for herbal products using the simple linear regression method as part of data mining techniques. The sales data used in this study spans from 2020 to 2025 and focuses on ten selected herbal products. The application is web-based, developed using the PHP programming language and Laravel framework, with MySQL as the database. The forecasting process involves calculating regression constants and coefficients based on historical sales data and evaluating the prediction results using the Mean Absolute Percentage Error (MAPE) metric. The test results show that the forecasting model demonstrates varying levels of accuracy, ranging from very good to acceptable, depending on the product. By implementing this system, the company can optimize its production and distribution processes, avoid resource waste, and improve operational efficiency.
Co-Authors Adiansyah, Febri Afrizal, Nanda Al-Mubdi, Muhammaad Abid Alinse, Rizka Tri Andi Hartono, Andi Andika, Ryndry Andre pranata, Andre Pranat Aribowo, Deko Asher, Chindy Cahyani, Lindry Dwi Fansyuri Nasution, Hamzah Febriansyah, Angga Trio Feisal, Royki Herlina Latipa Sari IHSAN, MUHAMMAD FIKRI indah kartika Indra Kanedi Julianda, Figora Jumadi , Juju Juniansyah, Dedy Jusuf Wahyudi Khairil Khairil Khalaf, Muhammad Hafist Kubroh, Darojatul Kurniawan, Dwiki Kurniawan, Muhammad Andhika Lena Elfianty Leni Natalia Zulita Lesmana, Ferdi Lestari, Virly Dwi Liza Yulianti Liza Yulianti Mahdalena, Desi Mardiana, Yessi Maryaningsih, Maryaningsih Nengsi, Ririn Agustia Nizar, Fahrul Ikhram Novita Sari, Venny Oktara, Panggi Pertan Sagala, Deddy Pradila, Lara Prahasti Putra, Redo Osi Qurniati, Nofi Rahayu, Reska Putri Rahayu Rahmat S, Khaerullah Ramadhan, Surya Risianti, Devi Rozzi, Yoli Andi S Siswanto sapri sapri Saputra, I Putu Yogi Saputra, Ryu River Sari, Widia Sartika, Devi Sukmawati Sukmawati Supardi, Reno Suranti, Dewi Tahari, Arzan Toibah Umi Kalsum Wandi, Dehar Wardoyo, Kristiyo Indriadi Wiradiansya, Edoar Yasa, Pri Yogha Yupianti, Yupianti Zahesya, Favien Riza