Article Per Year (5 Year)
p-Index From 2021 - 2026
3.035
P-Index
This Author published in this journals
All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Ilmu Komputer Telematika Jurnal Transformatika Register: Jurnal Ilmiah Teknologi Sistem Informasi KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Sistemasi: Jurnal Sistem Informasi IJCIT (Indonesian Journal on Computer and Information Technology) JRSI (Jurnal Rekayasa Sistem dan Industri) JIKO (Jurnal Informatika dan Komputer) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Informatika Universitas Pamulang Journal of Information Technology and Computer Engineering Jurnal Riset Informatika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Scientific Journal of Informatics Jurnal Teknik Informatika C.I.T. Medicom Abdiformatika: Jurnal Pengabdian Masyarakat Informatika Jurnal Riptek Tematik
Saifur Rohman Cholil
Universitas Semarang
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Transportation

Published : 27 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Scientific Journal of Informatics

 1 
Sistem Pendukung Keputusan Pemberian Bonus Karyawan Menggunakan Metode MOORA Bella Putri Hapsari; Saifur Rohman Cholil
Jurnal Ilmiah Informatika Vol. 7 No. 1 (2022): 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.v7i1.21-28

Abstract

In the current era of technology, computers are used to help facilitate human work. Among them by making a Decision Support System, by using a computerized system, the decision-making process can be right on target and more efficient. This research was conducted against the background of the need to give bonuses to employees, this bonus is given so that employees feel valued by giving rewards or additions for their good performance. In addition, the provision of employee bonuses also aims to increase employee morale so that employees provide better performance results, which can have a good impact on customer satisfaction. This study uses the MOORA method with the results obtained in the form of ranking the calculation of the value of employees who meet the criteria will receive bonuses. By using this decision support system, it is hoped that it will facilitate the decision making of employee bonus recipients.
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.
Co-Authors Aditya Febri Dwijayanto Agusta Praba Ristadi Pinem Ahmad Arrio Irawan Aji Bagus Prasetya Andri Roy Irawan Annisa Bunga Aurelia April Firman Daru Aria Hendrawan, Aria Bella Putri Hapsari Eka Putri Rachmawati Eka Yulianti Ekayulianti Enggar Satrio Prisiswo Faradilah, Yanti Galet Guntoro Setiaji Henny Indriyawati Henny Indriyawati Khoirudin Khoirudin Laras Elza Devila Leatitia Daphne Adhisti Putri Pertiwi Lenny Margaretta Huizen Liliek Triyono M. Zakki Abdillah Mojang Widhiyani Ashari Novita Aria Rizki Paoza, Ezza Raffi Danendra Athallah Rangga Rahmat Prayuda Rastri Prathivi Rodhiyatu Robbi Al Marjuwah Siti Asmiatun, Siti Susanto Susanto Swi Indriyaningtyas Titis Handayani Tria Ardianita Trinanda Fajri Hanifah Vensy Vydia Victor Gayuh Utomo Yudi Cahyono Yudi Prayoga Yunika Rahmawati