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All Journal Jurnal Media Infotama JOURNAL OF SCIENCE AND SOCIAL RESEARCH Building of Informatics, Technology and Science Journal of Computer System and Informatics (JoSYC) 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 Media Computer Science Jurnal Garuda Pengabdian Kepada Masyarakat
Alinse, Rizka Tri
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Journal : Jurnal Media Computer Science

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The Implementation Of Analytical Hierarchy Process (AHP) Method In Selecting Outstanding Students Masita, Yeti; Siswanto, Siswanto; Alinse, Rizka Tri
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.v4i1.7538

Abstract

SD Negeri 12 Central Bengkulu is one of the public elementary schools in Central Bengkulu Regency, Bengkulu Province. At SD Negeri 12 Bengkulu, every academic year an assessment of students is carried out through several criteria to select outstanding students who have the ability to master lessons and good self-ethics. The implementation of Analytical Hierarchy Process (AHP) method in the selection of outstanding students at SD Negeri 12 Central Bengkulu can help provide information in the form of recommendations for selecting outstanding students at school based on the final results of AHP method, and can help homeroom teachers in determining outstanding students by looking at the assessment aspects of report cards, attitude scores, percentage of student attendance, and academic and non-academic achievements obtained by students. From the sample data of student assessments at SD Negeri 12 Central Bengkulu, used for calculations through the Analytical Hierarchy Process (AHP) Method for the 2023/2024 academic year as many as 10 students, the recommended ranking results for outstanding students who are in the top 3 are Daffa Hidayatullah, Aura Despianty, and Ciko Pandu Wiryo. Based on the black box testing that has been carried out, the results show that the functionality of the implementation of Analytical Hierarchy Process (AHP) method in selecting outstanding students at SD Negeri 12 Central Bengkulu runs as expected and the application is able to display the results of recommendations for selecting outstanding students through AHP method stages. Based on the alpha testing, the results obtained that the application is quite interesting and quite helpful in selecting outstanding students in each class at SD Negeri 12 Central Bengkulu.
Application Of Data Mining In Grouping Data On The Need For Social Welfare Services (Ppks) At The Dharma Guna Center In Bengkulu Wahyuni, Mera; Yulianti, Liza; Alinse, Rizka Tri
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.v4i2.8814

Abstract

Sentra Dharma Guna Bengkulu is an institution under the auspices of the Ministry of Social Affairs of the Republic of Indonesia that provides social rehabilitation services for people with disabilities, including therapy (physical therapy and occupational therapy) and training. At Sentra Dharma Guna Bengkulu, data collection is carried out on PPKS (Social Welfare Service Recipients) every month to determine the development of the PPKS based on 5 (five) assessment aspects, namely physical aspects, spiritual aspects, psychological aspects, social aspects, and vocational aspects. Every month the development of PPKS Mentally Disabled (PDM) is assessed against 5 assessment aspects to determine whether PPKS is in the severe, moderate or mild group. The application of data mining in grouping data on Social Welfare Service Recipients (PPKS) at the Dharma Guna Bengkulu Center can help collect data and assess the development of PPKS, especially People with Mental Disabilities (PDM), can help analyze and group PPKS data, especially People with Mental Disabilities (PDM), and can provide information on the results of grouping PPKS data, especially People with Mental Disabilities (PDM) every month. From the test data used, namely PPKS data for People with Mental Disabilities (PDM) in October 2024 as many as 49 PPKS, the results of data grouping were obtained using the K-Means Clustering Method which has been divided into 3 groups. The number of Cluster C1 data (Severe Group) consists of 9 PPKS data, Cluster C2 (Moderate Group) consists of 26 PPKS data, and Cluster C3 (Light Group) consists of 14 PPKS data.
Co-Authors Anto, Gebi Andre Arliyan, Arliyan Asher, Chindy Fredricka, Jhoanne Herlina Latipa Sari Indra Kanedi Jusuf Wahyudi Lena Elfianty Liza Yulianti Masita, Yeti Nova, Tria Permana, Anggit Pratiwi, Annisa Putri Ramadani, Tri S Siswanto Sallaby, Achmad Fikri Sapri sapri sapri Sari, Dian Mardiati Sari, Lidiya Okta Sari, Venny Novita Sulastari, Ezy Supardi, Reno Syaputra, Sandy Toibah Umi Kalsum Wahyuni, Mera Widodo Widodo