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All Journal Jurnal Media Infotama Jurnal Sains dan Teknologi 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 Indonesian Science Education Journal (ISEJ) Jurnal Komputer, Informasi dan Teknologi
Yupianti, Yupianti
Universitas Dehasen Bengkulu
Agriculture, Biological Sciences & Forestry 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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Penerapan K-Nearest Neighbor Untuk Klasifikasi Tingkat Kelulusan Pada Siswa Sma Negeri 11 Kota Bengkulu Dofey Supriadi; Yupianti Yupianti; Eko Suryana
Jurnal Media Infotama Vol 19 No 2 (2023): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v19i2.4360

Abstract

Abstract-Bengkulu City 11 Public High School is one of the State Senior High Schools in Bengkulu City. The student's pass rate refers to the final score obtained for each subject, then calculates the average score to get the student's pass rating. So far, the school does not have an application that can help provide a predictive picture of student graduation. Where this needs to be done in order to evaluate the teaching and learning system so that students are able to face the final exam given The K-Nearest Neighbor application for classifying graduation rates for students at State Senior High School 11 Bengkulu City can help provide an informational description of the graduation rate for students at State High School 11 Bengkulu City and can provide information on the results of the classification results for high school graduation rates. State 11 City of Bengkulu. Based on the results of the tests that have been carried out, the functional application of the graduation rate classification of students at the Bengkulu City 11 State Senior High School is going well as expected.
SISTEM PAKAR UNTUK MENDIAGNOSA KANKER LEHER RAHIM DENGAN METODE FORWARD CHAINING Bintang Bayu Abie Candra; Yupianti Yupianti; Sapri Sapri
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i1.5251

Abstract

Dr. Hospital M. Yunus Bengkulu City is one of the hospitals located in Bengkulu City. At Dr. Hospital. M. Yunus, Bengkulu City does not yet have a computer system or computer application that can be used, and also in this hospital patients still have to come to the hospital to consult a doctor or nurse directly, so when there is no specialist doctor or nurse the patient is very difficult To consult, it is less effective to consult directly with a doctor or nurse, so an application is needed to help patients deal with cervical cancer, because with this application, it also helps patients to know what their disease is and what the solution is. Based on the results of the discussion and testing that has been carried out, it can be concluded that this expert system for diagnosing cervical cancer can help with early diagnosis of cervical cancer by including the symptoms experienced by the patient using the Forward Chaining Method approach. Based on patient testing which was carried out by selecting symptom codes G1, G2, G3 and G4, the diagnosis results were obtained using forward chaining, namely cervicitis with a percentage of 100%, cervical cancer with a percentage of 37.5% and portio erosion with a percentage of 25%. Based on the test results The black box that has been carried out, the functionality of the expert system for diagnosing cervical cancer using the Forward Chaining Method can now be implemented and can provide information on consultation results and determine an early diagnosis of cervical cancer.
Decision Support System For Hiring Honorary Teachers At State Junior High School 12 Kota Bengkulu Using The Simple Multi Attribute Rating Technique Method Silvy Dwi Nurhalifah; Yupianti Yupianti; Indra Kanedi
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.v20i2.6246

Abstract

Honorary teachers are auxiliary teachers who are given teaching time according to the number of teaching hours with a salary in accordance with the hours of lessons they teach and have been arranged by several schools for the smooth teaching process. The acceptance of honorary teachers carried out at junior high school 12 Kota Bengkulu is still done onventionally without paying attention to quality and competence in the selection process, resulting in human error, open opportunities for nepotism activities. For this reason, a decision support system is needed that can help solve these problems. The method implemented in this system is SMART (Simple Multi Attribute Rating Technique). The simplicity of the SMART method in analyzing responses, responding to the wishes of decision makers, and the simplicity of calculations in decision making. This SMART method aims to facilitate the decision making of honorary teacher acceptance at SMP Negeri 12 Bengkulu City so as not to use the manual system anymore. From the results of the tests that have been carried out, it can be concluded that the honorary teacher acceptance system with the SMART method can provide a good and more objective assessment.
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 Hari Aspriyono Hera Puja Amelia Herlina Latipa Sari Ila Yati Beti Juju Jumadi Jumadi, Juju 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 Rizkah Tri Alinse Rozi Eka Putri Salu Zerwina Sapri Sapri Sartika, Devi Satrio Candiago Silvy Dwi Nurhalifah Siswanto Siswanto syisva nurwita Tara Aprilinda Tommy Suriatno Venny Novita Sari Victor Yonathan Gultom Vobey Alex Sander Wahyu Hidayat Wahyu Ishak Marzuki Widya Ayu Safitri Zuryanto Zuryanto