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All Journal Rekursif: Jurnal Informatika Jurnal Pseudocode Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat Jurnal Eksplora Informatika Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Abdi Insani Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat (ABDIRA) TRIBUTE: JOURNAL OF COMMUNITY SERVICES Indonesian Journal of Computer Science and Engineering
Julia Purnama Sari
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Nursing Public Health Social Sciences Other

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Implementasi Metode Topsis Pada Sistem Pendukung Keputusan Penentuan Prioritas Penerima Bantuan Mesin Untuk Sentra Ikm Berbasis Website (Studi Kasus : Dinas Perindustrian Dan Perdagangan Provinsi Bengkulu) Monica, Exca Wella; Sari, Julia Purnama; Andreswari, Desi
Jurnal Pseudocode Vol 13 No 1 (2026): Volume 13 Nomor 1 Februari 2026
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pseudocode.13.1.84-90

Abstract

The industrial sector is one of the economic sectors being developed in Indonesia as a driving force for the progress of other economic sectors. One form of this is the Small and Medium Industries (SMEs), which are quite dependent on government assistance, both in terms of capital and equipment. One of the government programs to advance SMEs is the provision of machinery assistance to SME centers. In practice, the selection process for machine assistance recipients at the Bengkulu Industry and Trade Office still uses Microsoft Excel, which has limitations, including the risk of human error, logical errors in formulas, differences in results due to rounding numbers, and a lack of objectivity in assessments. Therefore, a Decision Support System (DSS) is needed to minimize errors, producing more objective, transparent, and accurate decisions. This study uses the TOPSIS method to calculate the preference value of SMEs and data aggregation techniques (averages) to calculate the final value of SME centers. The resulting output is a ranking of SME centers eligible for machine assistance. Of the total of 26 comparisons between the rankings from the system and the rankings from the Industry and Trade Office, 20 rankings were obtained that were the same, so that the system accuracy reached 76.92%. Furthermore, the system's feasibility test achieved an interval score of 4.6, or 92%, which is considered very good. The final result of this research is the creation of a website-based decision support system for prioritizing recipients of machine assistance for small and medium enterprises SME centers.
Co-Authors Aan Erlansari Adhadi Kurniawan Afdhal Kurniawan Mainil Afriani, Annisa Afriwilda, Mayang T. Alfareza, Muhammad Yusril Alifyandra Akbar, Farrel Andesta, Gena Ayub Sugara Baladewa, Aulia Salsabyla Belladona, Meilani Desi Andreswari Didi Suryadi Doloksaribu, William Tiodo Fitria, Laily Fuji Astuti Funny Farady Coastera, Funny Farady Haikal Fikri, Muhammad Hanisa, Eiza Nur Huda, Widya Nurul Jufrise, Siska Khairul Amri Rosa, Muhammad Lubis, Bustanuddin Lubis, Bustanudin Makhrian, Andi Makhrian, Andy Malay, Aliyah Salsabila Melia Eka Daryati Monica, Exca Wella Novrian, Willi Oktoeberza, Widhia KZ Pasaribu, Bryan Putra, Yusran Panca Putri, Lusiya Melda Putri, Tiara Eka Rahman, Muhammad Farchan Al Romiza, Naziha Salsabila, Elvina Santoso, Ahmad Yassar Mahdy septa, nickyastria Setiawan, Devid Frianda Simanjutak, Saud Martua Sri Wahyuni, Ade Surapati, Alex Tama, Syella Deniecha Ade Utama, Ferzha Putra Vasiguhamiaz, Azvadennys