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All Journal Jurnal Simetris Rekursif: Jurnal Informatika Jurnal Pseudocode Jurnal IPTEK-KOM (Jurnal Ilmu Pengetahuan dan Teknologi Komunikasi) Jurnal Informatika JSAI (Journal Scientific and Applied Informatics) Abdi Reksa
Desi Andreswari
Universitas Bengkulu
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences

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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) Exca Wella Monica; Desi Andreswari; Julia Purnama Sari
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.13.1.82-88

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 Aan Erlanshari Ahmad Fauzi Ajei Ibnu Rahmat Amri Hamdani Andiran Mukhtadin Asahar Johar Avindho Fattah Akbar Bambang Gonggo Murcitro Boko Susilo Edo Koriska Endina Putri Purwandari Ernawati Ernawati Exca Wella Monica Febridila Nurul Masyita Fenty Oktavia Funny Farady C funny farady Coastera iffan 29 Irvan Alfajri Julia Purnama Sari Krisna Prastio Kurnia Anggriani, Kurnia Magdalena Makarios Adonia Sigalingging Mochammad Yusa Muhammad Iqbal Baskoro Muhammad Naufal Faruqhy Nanda Satriawan Neferly Arif Budiman Nella Astiani Novia Bella Vista Nur Aini Nur Annisa Apriliani Herman Putri Nur Faizah Putri Rahayu Randy Viyata Dhika Ricky Sadewa Rizka Yulia Ningsih Rusdi Efendi Saleha, Nurmukaromatis Sani Putriana Sayyid Taqial Haidar Selfi Ristiarini Nasution Sempurna Ginting Setiawan, Yudi Sonia Rosalin Sihite Syifa Mawaddah Syofian Irwanda Tetes Wahyu Witradharma Tiara Elsi Febrianti Tommy Alexander Ulva Faraditha Utama, Ferzha Putra Vinta Asmika Vonny Afriyona Egisthi