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All Journal STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Jurnal Rekayasa Sistem Informasi dan Teknologi
Lukas Arief Prasetyo
Universitas Indraprasta PGRI
Computer Science & IT Decision Sciences, Operations Research & Management Mathematics

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Sistem Pendukung Keputusan Mahasiswa Berprestasi Menggunakan Metode Kombinasi Analytical Hierarchy Process (AHP) dan Simple Additive Weigting (SAW) Lukas Arief Prasetyo
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 3, No 2 (2018)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (909.985 KB) | DOI: 10.30998/string.v3i2.3039

Abstract

The selection of outstanding students at Secretary Academy of Budi Luhur has long been conducted from the collection of scores involving lecturers and staff. The collected data are then given to the Head of Study Program for the selection. The method is considered less effective because it uses manual calculation and shows no objectivity in the student assessment in which the scores given by lecturers and staff are only based on their estimation and closeness to students. The Head of the Study Program takes a long time to make a decision. Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) are methods that can be used to select outstanding students based on the criteria set in Dikti guidelines 2016. The Analytical Hierarchy Process (AHP) is used in weighting process, while the Simple Additive Weighting (SAW) is used in ranking process. It is expected that the weighting and ranking processes can create an effective and objective decision support system application.
SISTEM PAKAR MENGIDENTIFIKASIKERUSAKAN MOTOR HONDA BEATDENGAN METODE CERTAINTY FACTORPADA BENGKEL RONI MOTOR Lukas Arief Prasetyo; Imam Himawan; Redo Abeputra Sihombing
Jurnal Rekayasa Sistem Informasi dan Teknologi Vol. 3 No. 2 (2025): November
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70248/jrsit.v3i2.3188

Abstract

Penelitian ini bertujuan untuk mengembangkan sistem pakar diagnosis kerusakan motor Honda Beat berbasis web menggunakan metode Certainty Factor sebagai solusi untuk membantu pengguna dalam mengidentifikasi kerusakan secara cepat dan akurat. Metode penelitian yang digunakan adalah Research and Development dengan model pengembangan sistem Waterfall, meliputi analisis kebutuhan, desain basis pengetahuan, implementasi sistem, serta pengujian akurasi dan fungsionalitas. Hasil penelitian menunjukkan bahwa sistem pakar yang dibangun mampu mendiagnosis empat belas jenis kerusakan dengan akurasi sebesar 86,67% berdasarkan pengujian terhadap tiga puluh kasus nyata, serta seluruh fitur sistem berhasil berjalan 100% sesuai spesifikasi melalui pengujian black box. Simpulan dari penelitian ini adalah bahwa sistem pakar berbasis Certainty Factor efektif dalam menangani ketidakpastian gejala, memberikan tingkat kepastian diagnosis yang jelas, dan mampu meningkatkan efisiensi proses diagnosis di bengkel maupun bagi pengguna awam.  
Co-Authors Imam Himawan Redo Abeputra Sihombing