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All Journal Jurnal Informatika dan Teknik Elektro Terapan Jurnal Keteknikan dan Sains (JUTEKS) Technomedia Journal ILKOM Jurnal Ilmiah CARADDE: Jurnal Pengabdian Kepada Masyarakat Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Ilmiah Ilmu Komputer Fakultas Ilmu Komputer Universitas Al Asyariah Mandar Journal Peqguruang: Conference Series Jurnal Nasional Teknik Elektro dan Teknologi Informasi JURNAL SIPISSANGNGI: Jurnal Pengabdian Kepada Masyarakat
Basri
Universitas Al Asyariah Mandar
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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Journal : Jurnal Nasional Teknik Elektro dan Teknologi Informasi

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Klasifikasi Data pada Sistem Penjurusan dengan Preferensi Standar Simple Additive Weighting (PS-SAW) Basri; Muhammad Assidiq
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 6 No 4: November 2017
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (953.743 KB) | DOI: 10.22146/jnteti.v6i4.2807

Abstract

Academic potential of students becomes the main success factor in learning activity. Academic potential analysis with various types of variables requires reliable computational classification techniques. The main objective of this study is to implement the Simple Additive Weighting formula with Standard Preference approach (PS-SAW) as a new technique in classification field. In this study, PS-SAW was implemented based on research need and research objectives. The PS-SAW method was applied by finding average value of preferences from the best data classification as a standard preference, and further becomes the basis for determining the classification of new data. The results showed that the implementation of PS-SAW in data test was more selective than the basic SAW with selectivity about 21,02%, and early recommendation by 85,99%. This research can be a reference for building major system and can be implemented in general application classification system.
Co-Authors Abdul Muttalib Ade Rahayu Ahmad Mujahidin Aidul Akbar Akhmad Qashlim Andi Nuraisyah Andi Nurunnisa Yasmun Asnari Ayu Rahayu Bambang Dwi Argo Busrah Busrah Chuduriah Sahabuddin Cipta Riang Sari Erli Wulandari Fajri Fajri Fatimah Fatimah Fatwa Suci Rahmadani Firdaus Gigo Atawuwur Hasrawati Hasrawati Herni Herni Idhan Zaldy Junita Junita Karim, Harli A. Mardewi Mardewi Melky Predyono Muh Agus Riadi Muh Irwandi Muhamad Sarjan Muhammad Assiddiq Muhammad Assidiq Muhammad Sarjan Muhammad Yusuf Yunus Naim Irmayani Nasrullah Nasrullah Novia Yanti Y Novia Yanti Y Nur Fitriani Nur Padila Nurahmad Nurhaya Kusmiah Risna Yanti Rosida Rosida Rosmawati Tamin Rusli Said Rusli Said Saifuddin Saifuddin Sinar Wahyu Sukmawati Sukmawati Suryadi Syarli Tidar Anggana Putra Ul Khairat Wira Azmi Fakhrurrozi Yustika P.M Yustika P.M