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All Journal JURNAL SISTEM INFORMASI BISNIS E-Dimas: Jurnal Pengabdian kepada Masyarakat SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Kedaymas
Moch. Anang Karyawan
Universitas Hayam Wuruk Perbanas
Agriculture, Biological Sciences & Forestry 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 Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : Jurnal Sisfokom (Sistem Informasi dan Komputer)

 1 
Analysis the Application of the Weighted Product Method in Decision Support Systems for Assistance Programmes for MSMEs Berno Doduk, Thomas Aquino; Supriyanto, Heri; Al Hafidz, Mohammad; Prasetya, Muhammad Septama; Karyawan, Moch Anang
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 13, No 1 (2024): MARET
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v13i1.1777

Abstract

Productive Micro Business Assistance (BPUM) is a government policy. This assistance has been carried out since the Covid-19 Pandemic in Indonesia. The Mojokerto city government conducts a selection of MSMEs which is expected to avoid errors in determining MSME assistance. Therefore, a decision support system is needed that is developed using the Weighted Product method to make it easier and faster to determine MSMEs that are eligible to receive assistance. The stages of system development start from problem analysis, data collection, analysis of method application, and system development. Based on the calculation of the resulting S vector, the largest value is 0.10568 and the smallest value is 0.05886 from 9382 MSME data. The last calculation is the V vector value which produces recommendations in the form of data ranking that can be used by the Mojokerto City Diskopukmperindag to determine which MSMEs are entitled to receive assistance. The results of the selected alternatives are in accordance with the ranking with the largest value of 0.10568 and the smallest value of 0.05886. Providing recommendations by the decision support system to policy makers can be based on the largest relative preference value owned by MSMEs.
Analysis the Application of the Weighted Product Method in Decision Support Systems for Assistance Programmes for MSMEs Berno Doduk, Thomas Aquino; Supriyanto, Heri; Al Hafidz, Mohammad; Prasetya, Muhammad Septama; Karyawan, Moch Anang
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 13 No. 1 (2024): MARET
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v13i1.1777

Abstract

Productive Micro Business Assistance (BPUM) is a government policy. This assistance has been carried out since the Covid-19 Pandemic in Indonesia. The Mojokerto city government conducts a selection of MSMEs which is expected to avoid errors in determining MSME assistance. Therefore, a decision support system is needed that is developed using the Weighted Product method to make it easier and faster to determine MSMEs that are eligible to receive assistance. The stages of system development start from problem analysis, data collection, analysis of method application, and system development. Based on the calculation of the resulting S vector, the largest value is 0.10568 and the smallest value is 0.05886 from 9382 MSME data. The last calculation is the V vector value which produces recommendations in the form of data ranking that can be used by the Mojokerto City Diskopukmperindag to determine which MSMEs are entitled to receive assistance. The results of the selected alternatives are in accordance with the ranking with the largest value of 0.10568 and the smallest value of 0.05886. Providing recommendations by the decision support system to policy makers can be based on the largest relative preference value owned by MSMEs.
Co-Authors Ari Cahaya Puspitaningrum Berno Doduk, Thomas Aquino Deny Hermansyah Emma Yulianti Evi Sistiyarini Gaguk Suprianto Heri Suprianto Heri Supriyanto Iqbal Ramadhani Mukhlis Iramani Iramani Jowi Ratna Sari Khalifaturofi'ah, Sholikha Oktavi laqma dica fitrani Miftahul Adi Suminto Mochamad Nurhadi Mochamad Nurhadi Mohammad Al Hafidz Muhammad Abdullah Muhammad Septama Prasetya Muhammad Septama Prasetya Nanang Shonhadji Prasetya, Muhammad Septama Rr. Iramani Safrinda Dwika Maulani Haqni Sinarring Azi Laga