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All Journal TEKNIK INFORMATIKA Jurnal Informatika Infotronik : Jurnal Teknologi Informasi dan Elektronika Innovation in Research of Informatics (INNOVATICS) Jurnal Abdimas Sang Buana Multifinance Jurnal Isu Teknologi JITEEHA: Journal of Information Technology Applications in Education, Economy, Health and Agriculture
Slamet Risnanto
Universitas Sangga Buana
Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Other

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Journal : TEKNIK INFORMATIKA

 1 
APLIKASI PEMUNGUTAN SUARA ELEKTRONIK / E-VOTING MENGGUNAKAN TEKNOLOGI SHORT MESSAGE SERVICE DAN AT COMMAND Slamet Risnanto
JURNAL TEKNIK INFORMATIKA Vol 10, No 1 (2017): Jurnal Teknik Informatika
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (554.708 KB) | DOI: 10.15408/jti.v10i1.6811

Abstract

ABSTRAK Pemungutan suara elektronik atau e-voting adalah suatu bentuk pemungutan suara yang biasanya digunakan untuk pemilihan umum maupun poling menggunakan media elektronik. Pergeseran penggunaan media yang dahulu konvensional dan di era teknologi saat ini sudah banyak beragam media yang digunakan untuk jejak pendapat tersebut di antaranya media sosial/internet, short message service maupun chatting. Penggunaan teknologi Short Message Service (SMS) saat ini banyak dipakai untuk pemungutan suara elektronik karena ketersediaan, kecepatan, keamanan dan ketepatan data yang dihasilkan. Aplikasi pemungutan suara elektronik atau istilah sekarang bernama e-voting menggunakan teknologi short message service dan AT command dirancang dengan sangat sederhana dan biaya yang relatif murah sehingga memudahkan para pengguna baik peserta pemungutan suara maupun pelaksana pemungutan suara.   ABSTRACT Electronic voting or e-voting is a voting form that is usually used for elections or polls using electronic media. Shifting the use of media that was previously conventional and in the current era of technology has a lot of media used for the traces of opinion such as social media/internet, short message service and chat. The use of Short Message Service (SMS) technology is now widely used for electronic voting because of the availability, speed, security and accuracy of the resulting data. Electronic voting application or now called e-voting using short message service technology and AT Command is designed with very simple and relatively low cost so as to facilitate the users both voting participants and committees that implement voting. How to Cite : Risnanto, S. (2017). APLIKASI PEMUNGUTAN SUARA ELEKTRONIK / E-VOTING MENGGUNAKAN TEKNOLOGI SHORT MESSAGE SERVICE DAN AT COMMAND. Jurnal Teknik Informatika, 10(1), 17-26.doi:10.15408/jti.v10i1.6811Permalink/DOI: http://dx.doi.org/10.15408/jti.v10i1.6811
Optimizing Naïve Bayes Method for Felder-Silverman Learning Style Model Identification Asmi, Hanatyani Nur; Risnanto, Slamet; Mohd, Othman Bin
JURNAL TEKNIK INFORMATIKA Vol. 18 No. 1: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v18i1.40936

Abstract

One important issue in education institusion is the differences in students learning styles, which requires educators to pay attention to individual learning preferences. The manual learning style identification method is considered less effective in terms of time and data accuracy. This study aims to develop a student learning style identification system using the Felder-Silverman model and the Naïve Bayes method, This system is designed to assist lecturers in adjusting learning strategies according to student learning preferences, thus increasing the effectiveness of the learning process. The Naïve Bayes method was applied by analyzing student datasets and determining the accuracy of learning style identification. The validation results showed significant identification accuracy: 85% for the active-reflective dimension, 96% for the sensitive-intuitive dimension, 98% for the verbal-visual dimension, and 91% for the sequential-global dimension. The results of user validation show the effectiveness of the learning style identification application that has been tested based on the percentage value of each statement, and an average percentage value of 85.6% was obtained for all statements, indicating that the system functions well in identifying students' learning styles, while the results of expert validation state that the statements are in accordance with the indicators, the statements use simple and easy-to-understand language, and the identification results are appropriate. This study is expected to contribute to helping universities identify student learning styles efficiently, improve the quality of learning in higher education, and contribute to supporting an inclusive learning approach in higher education environments.
Co-Authors Admojo, Fadhila Tangguh Alfian, Fikri Anita Syafariah Asep Dion Nugraha Asmi, Hanatyani Nur Balango, Andrew Bambang Sugiarto Biller Pandjaitan Cecep Deni Mulyadi Darmawan, Muhammad Farhan Demsi Minar Didi Supardi Dinny Wahyu Widarti Djogo, Ony Djoko Pitoyo Dody Kusmana Faiz, Moh Imam Finny Redjeki Galih, Wening Gunawan Gunawan Gunawansyah Hendajany, Nenny Ivany Syarief Ketut Abimanyu Munastha Khalingga, Muhammad Ariq Komara, Erwan MAXSI ARY Mohd, Othman Bin Mualfah, Desti Muhammad Innuddin Nizar, Moh. Phitsa Mauliana, Phitsa Purwanto, Wisnu R. Didin Kusdian Riffa Haviani Laluma Rodiah Rodiah Roni Tabroni Sanusi, Nunung Solihin, Hanhan Hanafiah Suhanda Suhanda Suharjanta Wisnu Pitara Suharsono, Teguh Nurhadi Tata Zaenal Mutaqin Tia Sugiri Triyani Hayati Wildan Wiguna Windiawati, Ai Wulan Wisnu Wijaya Yushar Kadir