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All Journal Jurnal Ilmiah Media Sisfo Journal of Informatics, Electrical and Electronics Engineering Jurnal Kajian Ilmiah Teknologi Informasi dan Komputer
Indini, Dwina Pri
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Library & Information Science Social Sciences

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Implementasi Metode EDAS Dalam Penilaian Kinerja Dosen Pada Masa Pandemi Covid-19 dengan Pembobotan Entropy Indini, Dwina Pri; Siregar, Tesa Aurelia; Utomo, Dito Putro
Journal of Informatics, Electrical and Electronics Engineering Vol. 3 No. 2 (2023): Desember 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jieee.v3i2.1613

Abstract

Along with the development of technology that makes online learning run well, but the enthusiasm for student learning is not like when face to face and there are still many students who do not take various courses so that students' knowledge abilities are greatly decreased. When online learning takes place, it is very necessary for a lecturer's performance to arouse students' enthusiasm in participating in online learning. Because during this pandemic the role of lecturers is very necessary to develop an innovation and be able to make students not bored in participating in online learning. And also in terms of the performance appraisal process, several problems often occur, namely the speed in the performance appraisal process and also the accuracy of the performance appraisal. In assessing the performance of lecturers during online learning, there are several criteria including Discipline, Delivery of Materials, Interaction, Discussion Questions and Answers and Punctuality. Based on these problems, a decision support system is needed as a problem solving technique and is assisted by a method that can produce an accurate final value. The method is the Evaluation Based On Distance From Average Solution (EDAS) and Entropy method which is very helpful in generating weight values ??from alternative data and criteria so as to get the final results obtained in Alternative L9 with a value of 0.31025 on behalf of Surya Darma Nst, M. Kom.
Penerapan Data Mining Dalam Pengelompokan Data Reseller di Telkomsel Authorized Partner (TAP) Deli Tua Dengan Algoritma K-Means Indini, Dwina Pri; Mesran; Dito Putro Utomo
Jurnal Ilmiah Media Sisfo Vol 17 No 2 (2023): Jurnal Ilmiah Media Sisfo
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/mediasisfo.2023.17.2.1391

Abstract

Perkembangan dunia kerja membuat Telkomsel Authorized Partner (TAP) Deli Tua harus bersaing dalam mempertahankan reseller. Proses yang dapat dilakukan untuk mempertahankan reseller pada TAP Deli Tua yaitu dengan mengelompokan reseller menjadi 2 kelompok yaitu reseller prioritas dan reseller non-prioritas. Proses penentuan reseller prioritas dan non-prioritas dapat dilihat berdasarkan dengan data penjualan yang sudah tersimpan pada TAP Deli Tua. Namun, proses pengelompokan harus dilakukan dengan baik dan benar. Dalam melakukan pengelompokan data reseller TAP Deli Tua harus teliti, maka dalam pemrosesan pengolahan data reseller yang melakukan order produk dilakukan dengan data mining dengan teknik clustering. Penelitian ini menggunakan algoritma K-Means yang dapat membagi data menjadi beberapa cluster yang diperlukan. Dengan adanya penerapan data mining dengan algoritma K-Means dapat membantu dalam mengelompokan data reseller di TAP Deli Tua. Hasil penelitian ini memperlihatkan bahwa data mining dengan penerapan algoritma K-Means dapat membantu TAP Deli Tua dalam menghasilkan keputusan yang lebih efektif dalam pengelompokan data reseller sehingga dapat mengetahui reseller prioritas dan reseller non-prioritas. Dari 15 data sampel 12 reseller berada dalam cluster 0 dan 3 reseller berada dalam cluster 1.
Implementasi Metode MABAC dalam Sistem Pendukung Keputusan Penentuan Lokasi Instalasi WI-FI Publik Oleh Dinas KominfoStan Kabupaten Deli Serdang Indini, Dwina Pri; Reinaldi, M
Jurnal Kajian Ilmiah Teknologi Informasi dan Komputer Vol 1 No 1 (2022): November 2022
Publisher : CV. Graha Mitra Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62866/jutik.v1i1.36

Abstract

The need for public Wi-Fi installations is increasing with the aim of being able to meet the needs of the community in accessing the internet for free in public places. Thus, the Deli Serdang Regency Government through the Deli Serdang Regency KominfoStan Service installs a public Wi-Fi network with a limited budget every year. In determining the location of the public Wi-Fi installation, there are many public places, so that the Ministry of Communication and Information Technology is hesitant to determine the right location for the installation of public Wi-Fi. Decision Support System is applied in this study as a system for determining the location of public Wi-Fi installations. In determining the location of the right public Wi-Fi installation, it must meet criteria such as Distance, Accessibility, Economy, Crowd, and Facilities. Therefore, a Decision Support System (DSS) is needed in solving existing problems by applying the MABAC (Multi-Attributive Border Approximation area Comparison) method which can generate preference values from the first ranked alternative. So that the location for the installation of Public Wi-Fi is located on the A4 alternative, namely the Sultan Thaf Grand Mosque with a value of 0.480.
Co-Authors Mesran, Mesran Reinaldi, M Siregar, Tesa Aurelia