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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Algoritma Jurnal Inspiration Jurnal INSYPRO (Information System and Processing) SINTECH (Science and Information Technology) Journal Jurnal Informatika Universitas Pamulang Jurnal RESISTOR (Rekayasa Sistem Komputer) Klasikal: Journal of Education, Language Teaching and Science Indonesian Journal of Data and Science Kharisma Tech Jurnal Algoritma Journal of Technology Research in Information System and Engineering Agents: Journal of Artificial Intelligence and Data Science International Journal of Artificial Intelligence in Medical Issues
izmy alwiah musdar
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Electrical & Electronics Engineering Energy Engineering Health Professions Languange, Linguistic, Communication & Media Mathematics Medicine & Pharmacology Public Health Other

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Journal : Jurnal RESISTOR (Rekayasa Sistem Komputer)

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Analisis Data Pada Jaringan Sensor Nirkabel Menggunakan Metode Support Vector Machine Layadi, Caroline; Fajar, Mohammad; Hasniati, Hasniati; Musdar, Izmy Alwiah
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol 1 No 1 (2018): Jurnal RESISTOR Edisi April 2018
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (968.13 KB) | DOI: 10.31598/jurnalresistor.v1i1.196

Abstract

The aims of this research are to implement Support Vector Machine for analyze abnormal data on sensor network and evaluate the implementation result. The data collection in the research were done through the searching of related libraries and software evaluate/testing. In this research, temperature, wind speed, and humidity tested using three kernels (linear, Gaussian, and polynomial). Evaluation result show that the implementation of Support Vector Machine can perform the best data validity analysis using Gaussian Kernel with the percentage of average accuracy, temperature 97.83%, humidity 94.5325%, and wind speed 96.93% for weather data 20-28 May and July 28-August 10, 2015. Meanwhile, for weather data June 5-6, 2017 obtained the percentage of average accuracy of temperature 92.855% and humidity 92.43%.
Analisis Data Pada Jaringan Sensor Nirkabel Menggunakan Metode Support Vector Machine Caroline Layadi; Mohammad Fajar; Hasniati Hasniati; Izmy Alwiah Musdar
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 1 No. 1 (2018): Jurnal RESISTOR Edisi April 2018
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/jurnalresistor.v1i1.196

Abstract

The aims of this research are to implement Support Vector Machine for analyze abnormal data on sensor network and evaluate the implementation result. The data collection in the research were done through the searching of related libraries and software evaluate/testing. In this research, temperature, wind speed, and humidity tested using three kernels (linear, Gaussian, and polynomial). Evaluation result show that the implementation of Support Vector Machine can perform the best data validity analysis using Gaussian Kernel with the percentage of average accuracy, temperature 97.83%, humidity 94.5325%, and wind speed 96.93% for weather data 20-28 May and July 28-August 10, 2015. Meanwhile, for weather data June 5-6, 2017 obtained the percentage of average accuracy of temperature 92.855% and humidity 92.43%.
Co-Authors Abdul Munir S. Adys, Himala Praptami Angriani, Husni Arianti Arianti Azhari SN Caroline Layadi Chandra, Rikardo Christofer Veronica Wu Derick Triady Dhio Immanuel Salintohe Erik Wijaya Erlan Darwis Fonda, Surya Fransciska Karundeng Friantika Soplanit Geraldi R Wiwono Gisella Beatrice Ticoalu Gst. Ayu Vida Mastrika Giri Ham, Ficky Hamada Zein Hamdan Arfandy Hasniati Hasniati Hasniati Hasniati, Hasniati Hendra Surasa Hong William Fondy Husni Angriani Judith Bryan Leonard Sie Junaedy Junaedy Junaedy . Kambodji, Audri Billy Layadi, Caroline Marlina marlina Melda, Melda Mohammad Fajar, Mohammad Muhammad Ariq Dzaky Nicolina Djiu Pangiawan, Harfandy Putra Poetro, Bagus Satrio Waluyo Randy Rikardo Chandra Rivaldo Winengko Ronald Kwandy S, Abdul Munir Samuel Pinontoan Sinra, A. St Muriati, St Sugianto, Michael Christian Surasa, Hendra Suwandy Sumbogo Syaiful Rahman Syamsul Bahri Syamsul Bahri Taruk, Medi Triono, Andri Maruli Imanuel Vivian Evania Liauren Willianto Willianto Yandi Aprilian Najoan