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All Journal Jurnal Media Infotama Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Jurnal Informatika Jurnal Teknologi dan Sistem Komputer SINTECH (Science and Information Technology) Journal JURTEKSI JOURNAL OF SCIENCE AND SOCIAL RESEARCH Indonesian Journal of Engineering Research Jurnal Abdi Masyarakat Indonesia Jurnal Dehasen Untuk Negeri Jurnal Media Computer Science Jurnal Komputer, Informasi dan Teknologi
Yupianti, Yupianti
Universitas Dehasen Bengkulu
Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Public Health Social Sciences Other

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Sistem Pakar Untuk Mendiagnosa Penyakit Angular Cheilitis Menggunakan Metode Case Based Reasoning (CBR) Rozi Eka Putri; Indra Kanedi; Yupianti Yupianti
Jurnal Media Infotama Vol 20 No 2 (2024): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i2.6572

Abstract

This research aims to create an expert system application to diagnose Angular Ceilitis using the Case Based Reasoning (CBR) method to get solutions and information easily and quickly about the disease. This research method uses the waterfall method which begins with the requirements, design, implementation, verification and maintenance stages. This expert system was created using the PHP programming language and MySQL database. The Case Based Reasoing method can be used as a solution in using an expert system to diagnose angular ceilitis. In its application, the Case Based Reasoing method can provide a percentage of angular ceilitis. So that users can use this expert system as an application that can provide assistance in the initial diagnosis of angular ceilitis.
Klasifikasi Data Karyawan Outsourcing Berdasarkan Penempatan Menggunakan Metode Naive Bayes Pada PT. Solusi Gemilang Persada Fauzan Latief Mukmin; Yupianti Yupianti; Devi Sartika
Jurnal Media Infotama Vol 20 No 2 (2024): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i2.6575

Abstract

PT Solusi Gemilang Persada is one of the companies providing outsourced employee services in Bengkulu City. In this company, every 3 months a performance evaluation will be carried out on outsourced employees based on placement to determine whether the outsourced employee will have his contract extended or not. Classification of outsourced employee data based on placement using the Naive Bayes Method at PT. Solusi Gemilang Persada, can help facilitate the company in managing outsourced employee data and assessing the performance of outsourced employees and can help the company in providing recommendations for each outsourced employee whether the contract is extended or not extended based on the classification results. From the amount of test data used as much as 10 outsourced employee test data, the classification results show that the classification of the extended contract class is 8 (eight) outsourced employees, and the classification of the non-extended contract class is 2 (two) outsourced employees. Based on system tests that have been carried out, it can be concluded that the functional classification application of outsourced employee data based on placement using the naive bayes method at PT. Solusi Gemilang Persada has run well and is able to provide classification results for each outsourced employee performance assessment.
Penerapan Metode Analytical Hierarchy Process (AHP) Dalam Menentukan Siswa Berprestasi Di SMK Negeri 6 Kota Bengkulu Rahman Ahmad; Yupianti Yupianti; Ila Yati Beti
Jurnal Media Infotama Vol 20 No 2 (2024): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i2.6604

Abstract

SMKN 6 Bengkulu City is one of the public vocational high schools in Bengkulu City. So far, the process of selecting outstanding students is only seen from the results of report cards by summing up all the grades per subject obtained by students, and then ranking them. This is certainly less effective in determining outstanding students, because it must be supported by other aspects such as the value of student attitudes during the teaching and learning process, student attendance, academic and non-academic achievements. The purpose of this research is to implement the Analytical Hierarchy Process (AHP) method in determining outstanding students at SMKN 6 Bengkulu City. Therefore, in this study an application was built that can be used as a forum in determining outstanding students at SMKN 6 Bengkulu City. The implementation of Analytical Hierarchy Process (AHP) method in determining outstanding students at SMKN 6 Bengkulu City can assist schools in determining outstanding students in every school year, where the final score will be sorted from the highest score to the lowest score to get the achievement rank of each student, where the assessment parameters/criteria used are the average report card score, attitude score, attendance percentage, number of academic achievements, and number of non-academic achievements. Based on sample data of student assessments at SMKN 6 Bengkulu City, used for calculations through the Analytical Hierarchy Process (AHP) Method for 2022/2023 Odd Period as many as 10 students of class X, the results of outstanding students were taken from the highest score, namely M. Fadhil Dwiki Rahmadan with a score of 78.31956
Implementasi Metode Simple Additive Weighting (SAW) Pada Sistem Pendukung Keputusan Untuk Seleksi Calon Petugas Sensus Di Badan Pusat Statistik Seluma Deko Aribowo; Yupianti Yupianti; Jhoanne Fredricka
Jurnal Media Infotama Vol 20 No 2 (2024): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i2.6853

Abstract

Central Bureau of Statistics is an institution tasked with providing quality statistical data through statistical activities that are integrated and have national and international standards. The purpose of this research is to produce a decision support system application for selecting prospective census officers at Central Bureau of Statistics of Seluma using Simple Additive Weighting (SAW) method. SAW is one of the methods used to solve problems. A decision Support System for the selection of prospective census officers at Central Bureau of Statistics of Seluma was created using PHP Programming Language and MySQL Database. This application can accommodate data on prospective census officers who will be assessed. This application can be used to facilitate the selection of prospective census officers at Central Bureau of Statistics of Seluma by applying SAW method which can rank the assessment results.
Perbandingan Metode Simple Additive Weighting Dan Metode Composite Performance Index Dalam Sistem Pendukung Keputusan Kelayakan Bantuan Pupuk Subsidi Untuk Kelompok Tani Rahmat Hidayat; Yupianti Yupianti; Devi Sartika
Jurnal Media Infotama Vol 21 No 2 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i2.9371

Abstract

Decision Support System (SPK) is a system used to assist decision making in an organization or company. The development of a decision support system with the Simple Additive Weighting (SAW) method and the Composite Performance Index (CPI) method to determine the beneficiaries in determining the distribution of fertilizer assistance to farmer groups, and can minimize the inaccuracy in distributing the fertilizer assistance by applying the Simple Additive Weighting method and the Composite Performance Index method. This system is expected to help the government to determine the right recipient of fertilizer assistance, and be able to provide accurate and consistent recommendations, and increase transparency in the selection process. With this system, it is expected that the process of providing subsidized fertilizer assistance can run more fairly, efficiently, and on target.
Sistem Pakar Diagnosis Gangguan Jiwa Dengan Metode Case Base Reasoning (CBR) Dan Similarity Probabilistic Symmetric M Zuhri; Yupianti Yupianti; Jhoanne Fredricka
Jurnal Media Infotama Vol 22 No 1 (2026): April 2026
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v22i1.10276

Abstract

This study develops an expert system for diagnosing mental disorders using the Case Based Reasoning (CBR) method and the Symmetric Similarity Method to detect types of psychiatric disorders based on patient symptoms. The CBR method is used to reason about new cases by comparing them to past cases stored in the knowledge base, while the Symmetric Similarity Method is used to calculate the degree of similarity between those cases. The research was conducted at Soeprapto Psychiatric Hospital (RSJ Soeprapto) in Bengkulu and developed the diagnostic expert system using Laravel and MySQL. With this system, the diagnostic process can be carried out more quickly and efficiently, and it can be used by the public for early detection before receiving a direct examination from a psychiatric specialist.
Application Of The K-Medoid Method In Clustering Population Data By Subdistrict At The Population And Civil Registration Office Of Central Bengkulu Regency Reza Vebriansyah; Yupianti Yupianti; Fahrul Ikram Nizar
Jurnal Media Computer Science Vol 5 No 1 (2026): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i1.9501

Abstract

The application of the K-Medoid Method in grouping population data per sub-district at the Population and Civil Registration Office of Central Bengkulu Regency can provide information in the form of population density levels of sub-districts/villages in Central Bengkulu Regency which are divided into 3 groups, namely high, medium and low density levels, and can assist local governments in formulating more targeted policies. From the population data of 143 sub-districts/villages, data grouping analysis was carried out using the K-Medoid Method through the application that has been built, so that the results of the grouping of population data per sub-district/village which stopped at the 2nd iteration, namely a high population density level of 4 sub-districts/villages, a medium population density level of 17 sub-districts/villages, and a low population density level of 122 sub-districts/villages. Based on the tests that have been carried out, it is seen that the application of the K-Medoid Method can group population data per sub-district at the Population and Civil Registration Office of Central Bengkulu Regency which is summarized based on the data collection year.
Co-Authors Ahmad Revaldo Asnawati Asnawati Bela Oktavia Bintang Bayu Abie Candra Deko Aribowo Devi Sartika Dewi Maharani Dewi Suranti Dofey Supriadi Edison Edison Edy Hermansyah Eko Suryana Erlita Erlita Fahrul Ikram Nizar Fauzan Latief Mukmin Feri Hari Utami Feri Hari Utami Fhariska Dhia Putri Fredricka, Jhoanne Ganang Setiaji Hari Aspriyono Herlina Latipa Sari Ila Yati Beti Juju Jumadi Kanedi, Indra Kanedi Lena Elfianty Liza Yulianti Lola Eris Monika Lucy Dwi Febyanto M Zuhri Nanda Pratama Putra Novyar Roly Antwo Nurul Husna Pardi Hardianto Prahasti Prahasti Prahasti Rahman Ahmad Rahmat Hidayat Reno Supardi Reza Vebriansyah Ridwan Ridwan Rina Julita Rinto Diantara Rio Sefrin Alfa Meta Rizka Tri Alinse Rozi Eka Putri Salu Zerwina Sapri Sapri Satrio Candiago Silvy Dwi Nurhalifah Siswanto Siswanto Siswanto Siswanto Siswanto Siswanto syisva nurwita Tara Aprilinda Tommy Suriatno Venny Novita Sari Victor Yonathan Gultom Vobey Alex Sander Wahyu Hidayat Wahyu Ishak Marzuki Zuryanto Zuryanto