Yudi Cahyono
Universitas Semarang

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Sistem Pendukung Keputusan Kawasan Kumuh Kota Semarang Menggunakan Metode Copras Dengan Data Vitalitas Non Ekonomi Sebagai Data Kriteria Saifur Rohman Cholil; Yudi Prayoga; Yudi Cahyono; 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.
Pemilihan Duta Pondok Pesantren Menggunakan Metode Moora dan Aras Saifur Rohman Cholil; Yudi Cahyono; Annisa Bunga Aurelia; Liliek Triyono
Jurnal Ilmiah Informatika Vol. 9 No. 1 (2024): 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.v9i1.63-74

Abstract

This research was carried out with the aim of developing a decision support system that is expected to be able to provide assistance and simplify the process of assessing and calculating grades and shorten the time used in awarding Pesantren Ambassadors. This system will use two decision support system methods, such as the MOORA and ARAS methods. The MOORA (Multi-Objective Optimization Based on Ratio Analysis) method uses complex mathematical calculations to solve a problem. ARAS (Additive Ratio Assessment) is an approach based on the intuitive principle that the available options should be relevant. The ARAS method has the greatest ratio to achieve the most effective solution by looking at each weight and comparing the value of each criterion for each choice. The user can determine which method he will use in determining a decision. The final result that will be displayed by the system is a battle that shows which Islamic Boarding School is selected based on the two methods.