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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro JMM (Jurnal Masyarakat Mandiri) J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Informasi dan Terapan (J-TIT) Jurnal Bakti Masyarakat Indonesia JURNAL PENDIDIKAN, SAINS DAN TEKNOLOGI Journal of Electrical Engineering and Computer (JEECOM) International Journal of Technology, Food and Agriculture
Beni Widiawan, Beni
Jurusan Teknologi Informasi, Politeknik Negeri Jember, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Mathematics Social Sciences Other

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Journal : Jurnal Teknologi Informasi dan Terapan (J-TIT)

 1 
PENERAPAN LOGIKA FUZZY UNTUK SISTEM REKOMENDASI BERBASIS M-COMMERCE Beni Widiawan; I Putu Dody Lesmana; Ronny Fernando
Jurnal Teknologi Informasi dan Terapan Vol 1 No 2 (2014)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

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Abstract

Smartphones and tablets at this time became a popular gadgets and much liked by the community. Two of these gadgets have a wide range of brands and specifications. Many people who choose and buy two of these gadgets from the gadget specification and not a few of them who do not understand about the specifications owned two of these gadgets. Recommendation system is a system that can allow shoppers to assist in selecting a gadget based on the specifications of the gadgets owned. This system also can help buyers who do not understand about the gadget specification for the system made using the model Tahani Fuzzy Logic, Fuzzy Logic is a method that mimics human thinking by using the concept of vagueness nature of a value, so with the method of this system is expected to facilitate and can well understood by the buyer. This recommendation is made in the system in M - Commerce websites in order to facilitate buyers to access the system anywhere, anytime.
SISTEM INFORMASI GEOGRAFIS PENCEGAHAN DINI PENYEBARAN DEMAM BERDARAH DI KABUPATEN JEMBER MENGGUNAKAN METODE FUZZY I Putu Dody Lesmana; Faiqatul Hikmah; Beni Widiawan
Jurnal Teknologi Informasi dan Terapan Vol 2 No 1 (2015)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

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Abstract

Dengue Hemorrhagic Fever (DHF) is a contagious disease that is still a public health problem. Based on the data on the number of dengue cases from 2012 to 2014, almost evenly spread of dengue fever in the district of Jember with dengue incidence rate tends to increase during the period of observation. Therefore we need a way to predict the potential spread of dengue fever in the district of Jember so it can be done early prevention. Factors - factors that affect the spread of dengue disease is rainfall (CH), the number of days of rain (HH), larva free number (ABJ), and the house index (HI) that influence vector breeding dengue disease. In this study developed a Geographic Information System using Fuzzy method to predict the spread of dengue fever by using parameters rainfall, number of rainy days, larva-free numbers, and house index in Jember. From the results of testing the potential for the spread of dengue in 31 districts of Jember district during the month of February 2014 produced 24 districts have the same comparison between the potential spread and the number of dengue cases, while 7 other districts do not correspond to the potential spread of dengue obtained accuracy of 77%.
Fatigue Detection of XYZ Drivers based on Human Brain Wave EEG Signals Shabrina Choirunnisa; Beni Widiawan; Yogiswara Yogiswara; I Gede Wiryawan; Agus Purwadi; Bekti Maryuni Susanto
Jurnal Teknologi Informasi dan Terapan Vol 9 No 2 (2022)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v9i2.299

Abstract

The cause of death due to traffic accidents isnow increasingly common. One of the main factors causing thisaccident is driver fatigue. This can happen because the driveris not aware of his tired mental state. Of course mental fatiguecan cause a lack of concentration while driving. This mentalfatigue can be detected by analyzing the brain waves throughthe EEG signal from the driver. This brain wave analysis canbe done by various methods. In this study, the authorsconducted a brain wave-based detection of mental fatigueusing the Fourier transform and Support Vector Machine. TheEEG signal data will be feature extracted using the FourierTransform. Then, the results of this extraction will be used forthe classification process with the Support Vector Machinemethod. Based on the experimental results, the classification ofmental fatigue using a Support Vector Machine with a linearkernel obtained an average accuracy of 85%.
Co-Authors Agus Purwadi Agustianto, Khafid Agustianto, Khafidurrohman Akhdiar, Fikri Baskara Utoyo, Deva Bekti Maryuni Susanto Bety Etikasari Bety Etikasari, Bety Denny Trias Utomo, Denny Trias Dwi Putro Sarwo Setyohadi, Dwi Putro Sarwo Etikasari, Bety Fendik Purnomo Firmansyah, Muhammad Hafidh Hakim, Thoriq Lukman Hariadi Subagja Haris, Muhammad Fuad Al Hartadi, Didit Rahmat Hendra Yufit Riskiawan Hertamawati, Rosa Tri Hikmah, Faiqatul I Gede Wiryawan I Putu Dody Lesmana I Putu Dody Lesmana I Putu Dody Lesmana Kautsar, Syamsiar Kautsar, Syamsiar Lukman Hakim Meydiantika Anggia Putri, Tri Farin Mukhlisoh, Nanik Anita Purnomo, Fendik Rachmanita, Risse Entikaria Refa Firgiyanto Ronny Fernando Suryana, Arinda Lironika Syamsiar Kautsar Utomo , Denny Trias Wahyu Dian Pratiwi Yogiswara Yogiswara Yuana Susmiati Yuana, Dia Bitari Mei