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All Journal IJCIT (Indonesian Journal on Computer and Information Technology) Jurnal Teknologi Dan Sistem Informasi Bisnis Scientific Journal of Informatics Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Teknologi Informasi dan Komunikasi Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer)
Cahyono, Yudi
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Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Mechanical Engineering

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Journal : Scientific Journal of Informatics

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Sistem Pendukung Keputusan Kawasan Kumuh Kota Semarang Menggunakan Metode Copras Dengan Data Vitalitas Non Ekonomi Sebagai Data Kriteria Cholil, Saifur Rohman; Prayoga, Yudi; Cahyono, Yudi; Susanto, Susanto
Jurnal Ilmiah Informatika Vol. 8 No. 2 (2023): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v8i2.112-123

Abstract

Semarang City is the capital of Central Java Province which has a location in the middle of the province. Its strategic location is on the route across the North Coast of Java Island which connects major cities on Java Island. The high population in the city center requires the fulfillment of the need for livable housing, especially to accommodate urbanists whose jobs are concentrated in the trade and service sectors in the commercial area in the city center. The availability of complete facilities and infrastructure in the city center is also an attraction for people to live in the area. With the income level and economy of the community less so high, without realizing it, the need for livable settlements is difficult to accommodate. This study aims to build a decision support system (DSS) for the determination of Slum Areas in Semarang City using the COPRAS method. The COPRAS method has a good degree of selectivity because it can determine the purpose of conflicting criteria. System implementation is done using PHP language and MySQL database. The SPK that was built was able to produce recommendations by providing the ranking of slum areas to users.
Co-Authors ., Khoirudin Ardiyanto, Ilham Cholil, Saifur Rohman Kurniawan, Nurdin Lila Anggraini Ningrum, Setya Prayoga, Yudi Susanto Susanto Susanto Susanto Vensy Vydia Yurista Kumkamdhani, Tirta