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Sistem Pendukung Keputusan Calon Penerima BPJS-PBI Pada Dinas Sosial Kota Bengkulu Menggunakan Metode K-Nearest Neighbor (KNN) Mahendra, Aziz Ali; Suranti, Dewi; Fredricka, Jhoanne
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.v19i2.4290

Abstract

Abstract-Health Social Security Organizing Agency for Contribution Assistance Recipient groups is assistance for the poor and disadvantaged people who are financed by the Government. The goal of the Health Social Security Administrative Body is to improve access and quality of health services for all underprivileged and incapable people to achieve optimal public health status effectively and efficiently. One of the problems faced by the Bengkulu City Social Service in determining beneficiaries of Health Social Security Administering Body assistance for the Contribution Assistance Beneficiary group is the process carried out by the Bengkulu City Social Service in making decisions on receiving Contribution assistance Health Social Security Administrative Body for poor families, still uses the manual method so it takes time. long to process. This decision support system for determining beneficiaries applies the K-Nearest Neighbor method to assist the selection process of citizens who are entitled to receive the Health Social Security Administrative Body so that it is easier to assess the criteria for residents. K-Nearest Neighbor can perform a mathematically based procedure to evaluate the values ​​of these criteria into an accurate description of the data classification. This decision support system is designed using the PHP Programming Language and MySQL Database. This decision support system can provide convenience for the Bengkulu City Social Service in determining beneficiaries of Health Social Security Administering Body assistance for groups of Contribution Assistance Recipients in Bengkulu City.
Penerapan Algoritma K-Means Clustering Dalam Menganalisis Tren Data Pemilih Di Kabupaten Seluma Maulana, Okto Farhan; Suranti, Dewi; Beti, Ila Yati
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.v22i1.9881

Abstract

General elections are one of the main pillars of the democratic system in Indonesia. Voter turnout is an important indicator in assessing the success of elections. Seluma Regency shows variations in voter characteristics in each sub-district, in terms of number, gender, and age. This study aims to analyze voter participation trends by applying the K-Means Clustering algorithm to group regions based on similar voter characteristics. The data used includes the number of Permanent Voter Lists (DPT), age categories, and gender, obtained from the Seluma Regency General Election Commission (KPU) in 2024. The system was developed using the Waterfall method, with the Python programming language and the Flask framework. The clustering results show that of the 200 villages/subdistricts analyzed, 137 villages/subdistricts (68.5%) were included in the low cluster and 63 villages/subdistricts (31.5%) were in the high cluster. Although the number of villages/subdistricts in the low cluster is more dominant, the distribution of voters based on gender and age group is relatively balanced between the two clusters, with a slight tendency to be more concentrated in the high cluster. This information is expected to serve as a strategic basis for the KPU.in developing a more effective and targeted outreach program. System testing was conducted using the black box method to ensure that all functions ran according to plan.
Pengukuran Tingkat Kepuasan Mahasiswa Terhadap Layanan Di Prodi Informatika Universitas Dehasen Bengkulu Waruwu, Safrawi; Suranti, Dewi; Suryana, Eko
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.v22i1.10278

Abstract

Excellent service is a crucial aspect of commercial success, especially in service organizations. Excellent service is the spearhead in seizing opportunities and understanding consumers or clients who will use the services offered. To produce quality graduates, one of the influencing factors is the service implemented within the faculty environment in serving customers, in this case students. Satisfaction with academic services is something that needs to be considered in order to achieve quality services that guarantee student satisfaction as the main stakeholder in educational service organizations. This study aims to determine the level of student satisfaction with the quality of service in the Informatics Study Program at Dehasen University, Bengkulu. From the results of the testing conducted, the Student Satisfaction Level Measurement System for Services in the Informatics Study Program at Dehasen University, Bengkulu has been able to assist in making service decisions for the Informatics Study Program at Dehasen University, Bengkulu.