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All Journal Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Komtekinfo Jurnal Pengabdian Masyarakat Dharma Andalas
Hafizh, M
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering

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Perbandingan Tingkat Akurasi SAW-TOPSIS dalam Penilaian Kelayakan Proposal Liga Mayola; Guswandi, Dodi; Safitri, Wifra; Hafizh, M; Habib Yuhandri, Muhammad
Jurnal KomtekInfo Vol. 10 No. 3 (2023): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/komtekinfo.v10i3.415

Abstract

Seminar proposal adalah salah satu matakuliah pada kurikulum yang wajib dilalui oleh mahasiswa Teknologi Informasi agar dapat melanjutkan ke tahapan berikutnya yaitu kualifikasi. Penentuan kelayakan kelulusan seminar proposal mahasiswa oleh penguji masih dilakukan dengan manual dan belum menggunakan Sistem Pendukung Keputusan (SPK) dalam mengambil keputusan. Tujuan penelitian ini adalah untuk menganalisis pengambilan keputusan kelayakan sebuah proposal yang diajukan mahasiswa dan menguji metode yang tepat diantara dua metode SPK yang dipilih. Metode yang digunakan dalam penelitian ini adalah metode SAW dan metode TOPSIS. Data sampel yang digunakan berjumlah dua belas data penilaian dosen terhadap mahasiswa. Kriteria yang digunakan dalam penilaian kelayakan proposal yakni kemuktahiran topik dan ketajaman rumusan masalah (C1), relevansi dan kemuktahiran kajian pustaka (C2), ketepatan metode penelitian (C3), manfaat dan kontribusi penelitian (C4), referensi acuan (C5) dan estetika penulisan (C6). Hasil penelitian ini berupa pemodelan Decision Support System (DSS) dalam bentuk perankingan agar dapat mengetahui kelayakan seminar proposal mahasiswa. Berdasarkan perbandingan metode SAW dan TOPSIS pada kasus ini, maka dapat disimpulkan bahwa metode SAW memiliki tingkat akurasi yang lebih tinggi yaitu 41,667 %.
Sosialisasi Penentuan Siswa Terbaik pada SMAN 4 Padang Menggunakan Metode WASPAS Guswandi, Dodi; Hafizh, M; Novita, Triana
Jurnal Pengabdian Masyarakat Dharma Andalas Vol 3 No 2 (2025): Jurnal Pengabdian Masyarakat Dharma Andalas
Publisher : LPPM Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jpmda.v3i2.1787

Abstract

At SMAN 4 Padang, the process of determining the best students is still carried out manually, does not use a computerized system and there is no decision-making method for analyzing data. As a result, this process is often very long and the results of decisions are not precise and accurate. The purpose of this Community Service (PKM) is to provide socialization to SMAN 4 Padang in making decisions appropriately and accurately using the Weighted Aggregated Sum Product Assessment (WASPAS) method, this method combines two models, namely the weighted sum model (WPM) and the weighted product model (WCM). The system implementation into the application uses the PHP programming language and MySQL database. The assessment criteria used are Attendance (C1), Personality (C2), Achievement (C3), Extracurricular (C4), and Final Report Value (C5). Several samples of data have been tested, where students with code A2 get the highest score, which is 0.7566 are declared the best students. After socializing and implementing the new system design, it can make it easier for SMAN 4 Padang schools to make decisions quickly, precisely, and accurately.
Implementasi Metode ARAS dalam Penentuan Kelayakan Pemberian Kredit Pemilikan Rumah (KPR) Guswandi, Dodi; Hafizh, M; Wahyuni, Suci; Novita, Triana
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 7 No 1 (2025): Januari 2025
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v7i1.1845

Abstract

A house is a primary need that everyone must have, yet not everyone can afford to purchase it outright. Therefore, a bank is needed as a financial institution to provide financial assistance through credit disbursement. Bank Syariah Indonesia (BSI) offers several Home Ownership Credit (HOC) programs with the Murabahah sale and purchase contract. The current analysis of eligibility determination for granting KPR credit at Bank BSI does not yet utilize an appropriate method for decision-making. This study aims to design a Decision Support System (DSS) using the Additive Ratio Assessment (ARAS) method to assist Bank BSI in analyzing KPR customer data quickly, accurately, and precisely. The ARAS method focuses on comparison with an ideal solution, ensuring that the best alternative approaches optimal conditions based on the specified criteria. The results of this study can help Bank BSI determine the eligibility of KPR credit disbursement more effectively, and the system can rank customer data as eligible or not eligible based on predefined value thresholds.
Co-Authors Al Amin, Ravhis Dodi Guswandi Habib Yuhandri, Muhammad Liga Mayola Novita, Triana Permana, Randy Safitri, Wifra Suci Wahyuni