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All Journal Jurnal Teknologi Informasi dan Komunikasi JUSTIFY : Jurnal Sistem Informasi Ibrahimy Jurnal Ilmiah Ilmu Komputer dan Teknologi Informasi (JIKOMTI)
William Charlie Septian Sinaga
Politeknik Bisnis Indonesia Murni Sadar
Computer Science & IT

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SISTEM PENDUKUNG KEPUTUSAN PENENTUAN REWARD DRIVER GRAB TERBAIK MENGGUNAKAN METODE TOPSIS Gilbert Johan Martin Sinaga; William Charlie Septian Sinaga
Jurnal Teknologi Informasi dan Komunikasi Vol. 16 No. 1 (2026): Jurnal Teknologi Informasi dan Komunikasi
Publisher : Fakultas Ilmu Komputer dan Informatika - Universitas Nurtanio Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56244/fiki.v16i1.1161

Abstract

Penelitian ini bertujuan untuk mengembangkan sistem pendukung keputusan dalam menentukan driver terbaik pada komunitas Komunitas Grab Siantar-Simalungun di Kota Pematang Siantar. Permasalahan utama yang dihadapi adalah proses penentuan penerima reward yang masih bersifat subjektif dan belum terstruktur. Penelitian ini menggunakan metode TOPSIS untuk melakukan pemeringkatan alternatif berdasarkan beberapa kriteria, yaitu jumlah orderan, tingkat penyelesaian, keaktifan, laporan keselamatan, dan rating pengemudi. Data penelitian diperoleh melalui observasi, kuesioner, dan dokumentasi dengan melibatkan 10 alternatif driver sebagai sampel. Hasil penelitian menunjukkan bahwa metode TOPSIS mampu menghasilkan keputusan yang objektif dan terukur, dimana alternatif A4 memperoleh nilai preferensi tertinggi sebesar 0,9557 sebagai driver terbaik. Sistem yang dikembangkan juga menunjukkan hasil yang konsisten antara perhitungan manual dan implementasi berbasis web. Dengan demikian, sistem pendukung keputusan yang dibangun dapat digunakan sebagai alat bantu dalam meningkatkan objektivitas, transparansi, dan akurasi dalam pemberian reward driver.
Sistem Pendukung Keputusan Penentuan Kelayakan Nasabah Penerima Pinjaman pada Koperasi Menggunakan Metode MOORA Gilbert Johan Martin Sinaga; William Charlie Septian Sinaga
JUSTIFY : Jurnal Sistem Informasi Ibrahimy Vol. 5 No. 1 (2026): JUSTIFY : Jurnal Sistem Informasi Ibrahimy
Publisher : Fakultas Sains dan Teknologi, Universitas Ibrahimy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/justify.v5i1.9985

Abstract

Savings and loan cooperatives face challenges in determining the eligibility of loan applicants objectively, which may increase the risk of non-performing loans. This study aims to develop a decision support system for assessing the eligibility of cooperative loan applicants using the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method. The study utilizes secondary data from 30 applicants evaluated based on six criteria: monthly income, loan amount, credit history, loan period, collateral, and employment status. The MOORA method is applied through decision matrix construction, normalization, weighting, optimization value calculation, and alternative ranking, and is subsequently implemented in a web-based decision support system. The results indicate that the MOORA method is capable of producing objective and measurable eligibility rankings and classifying applicants into eligibility categories. The developed system can assist cooperatives in improving the accuracy and consistency of loan decision-making.
Sistem Pendukung Keputusan Penentuan Kelayakan Penerima Program Keluarga Harapan Menggunakan Metode TOPSIS Gilbert Johan Martin Sinaga; William Charlie Septian Sinaga
JIKOMTI : Jurnal Ilmiah Ilmu Komputer dan Teknologi Informasi Vol. 3 No. 1 (2026): JIKOMTI: MEI 2026
Publisher : Universitas Sains Indonesia Publishing

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Abstract

The selection of beneficiaries for the Program Keluarga Harapan (PKH) often faces issues of inaccurate targeting due to selection processes that are not fully objective and structured. This study aims to develop a Decision Support System (DSS) using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method to determine the eligibility of PKH beneficiaries in Simarimbun Subdistrict, Pematangsiantar City. This research adopts a quantitative approach using primary data collected through questionnaires from 30 potential beneficiaries. The criteria used include education level, income, number of dependents, and housing conditions. The data were processed using the TOPSIS method to generate preference values and rank the alternatives. The results show that the system classified 11 alternatives (36.67%) as eligible and 19 alternatives (63.33%) as ineligible. The developed system provides consistent, criteria-based recommendations, thereby improving objectivity in the beneficiary selection process. This study contributes by providing a structured system-based approach and decision-making method to support more accurate targeting in social assistance distribution.
Sistem Pendukung Keputusan Penentuan Penerima Bantuan Langsung Tunai Menggunakan Metode MOORA William Charlie Septian Sinaga; Gilbert Johan Martin Sinaga
JIKOMTI : Jurnal Ilmiah Ilmu Komputer dan Teknologi Informasi Vol. 3 No. 1 (2026): JIKOMTI: MEI 2026
Publisher : Universitas Sains Indonesia Publishing

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Abstract

Direct Cash Assistance (BLT) is a social assistance program aimed at helping low-income communities meet their basic needs. However, the process of determining aid recipients is still often conducted manually, leading to subjectivity and inaccurate targeting. This study aims to implement the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method in a Decision Support System (DSS) to determine the eligibility of BLT recipients objectively and systematically. The study employed five assessment criteria, namely number of dependents, monthly income, employment status, residential status, and ownership of PKH/KKS social assistance. Data were collected through observation, interviews, and documentation of prospective BLT recipients in Gang Nauli, Aek Nauli Village, South Siantar District, Pematangsiantar City. The results indicate that the MOORA method is capable of producing a more objective, transparent, and measurable selection process. Based on the calculation results, alternative A3 obtained the highest preference value and was therefore recommended as the most eligible BLT recipient.
Co-Authors Gilbert Johan Martin Sinaga Gilbert Johan Martin Sinaga