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All Journal ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JETT (Jurnal Elektro dan Telekomunikasi Terapan) IJIES (International Journal of Innovation in Enterprise System) Antivirus : Jurnal Ilmiah Teknik Informatika ILKOMNIKA: Journal of Computer Science and Applied Informatics Oetoesan-Hindia: Telaah Pemikiran Kebangsaan J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) eProceedings of Applied Science Jurnal ELTEK Emitor: Jurnal Teknik Elektro
ATIK NOVIANTI
Universitas Telkom
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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PENERAPAN CHATBOT UNTUK JURUSAN TEKNIK ELEKTRO Marya, Dianthy; Ardiansyah, Rizky; Novianti, Atik
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 19 No 1 (2025): Mei 2025
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/vcq6d133

Abstract

High-quality campus services play a crucial role in supporting educational activities in higher education institutions. One approach to enhancing these services is by leveraging chatbot technology. Chatbots can provide swift and efficient responses to students, simplifying access to information and facilitating various transactions. Moreover, chatbots help reduce the workload of administrative staff, allowing them to concentrate on more complex responsibilities. However, data security and privacy remain critical aspects that require further improvement to ensure user trust. This study focuses on evaluating a chatbot application designed to support administrative services in the Electrical Engineering Department of the State Polytechnic of Malang using the string matching method. The evaluation process includes testing the chatbot’s functionality, interaction quality, compatibility, security, and overall performance. Results indicate that the chatbot achieves an accuracy rate of 90% in addressing students’ inquiries. Most users expressed satisfaction with the chatbot’s response speed and precision. These findings suggest that chatbots are an effective solution for improving administrative services, particularly in the context of the Electrical Engineering Department at the State Polytechnic of Malang.
Implementation of the Viola-Jones Algorithm for a Hand Sign Language Translation System Novianti, Atik; Muthiah, Siti Nurul; Mulyana, Asep
Emitor: Jurnal Teknik Elektro Vol 24, No 2: July 2024
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v24i2.3966

Abstract

People who speech impaired that uses body movements to deliver information. In everyday life, it is not uncommon for people with disabilities to communicate with normal people who do not understand the meaning of what is delivered. One example is when a speech-impaired person wants to order food at drive-thru service fast food restaurant, the seller must have special skills to understand what is being delivered. In this paper, we will discuss the application of the Viola Jones algorithm for hand gesture detection systems in drive-thru service fast food restaurant. The Viola Jones algorithm was proposed because the algorithm is the most famous and best choice of gesture classifier for detecting hands in real time based on the accuracy speed. The system is able to translate the given gestures, data enters Firebase as a real time database, sellers can find out the total shopping through the cashier application. The system cannot translate the gesture if the given hand is not completely in the specified area of the box. Based on testing on 10 different respondents, the system can detect hand gesture with an average system success of 92,01%.
Design of e-Marketplace for Village-owned Small, Micro and Medium Enterprise using Rapid Application Development Sutrisno, Agung; Andreswari, Rachmadita; Ambarsari, Nia; Syahrina, Alvi; Puspitasari, Warih; Novianti, Atik; Darmawan, Irfan
International Journal of Innovation in Enterprise System Vol. 4 No. 1 (2020): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

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Abstract

Village-Owned Enterprises (BUM Desa) Pakis Sabilulungan is a business entity that houses small, micro and medium-sized businesses located in Mekarsari Village, Pasirjambu, Bandung, Indonesia. At present, BUM Desa Pakis has begun to pioneer several businesses including the production of snacks, coffee, crafts, and clothing. But there are obstacles where marketing is still limited to one sub-district and income tends to stagnate. Therefore, we need an internet-based technology that is able to help marketing more broadly and more easily than the current situation. The proposed technology in BUM Desa Pakis is a web-based e-marketplace, where all business owners can sell goods on the same platform. In its development, the prototyping method was used. This is because BUM Desa needs a description of the application that will be used before further development. The results of the e-Marketplace development on BUM Desa show that the marketing process can be carried out faster, payments can be made through bank transfers and delivery can be done through expeditions. This is significantly able to expand product marketing from Mekarsari Village
Development of a Driver Drowsiness Detection System Using YOLO, EAR, and MAR for Driving Performance Evaluation Mahfudi, Isa; Rasyid, Muhammad Akida Jabbar; Adzikirani, Adzikirani; Kusumawardani, Mila; Soelistianto, Farida Arinie; Wijayanti, Rieke Adriati; Novianti, Atik
ILKOMNIKA Vol 8 No 2 (2026): Volume 8, Number 2, August 2026
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/ilkomnika.v8i2.878

Abstract

Driver fatigue and drowsiness are among the major factors causing traffic accidents, leading to decreased alertness and slower reaction time. This study aims to develop a computer vision-based driver drowsiness detection system by integrating the You Only Look Once (YOLO), Eye Aspect Ratio (EAR), and Mouth Aspect Ratio (MAR) methods, as well as to evaluate driving performance quantitatively. The system is designed to operate in real time using a camera as the visual data source, which is processed through face detection, facial landmark extraction, and the calculation of EAR and MAR parameters as indicators of eye condition and yawning activity. The experimental results show that the system is capable of classifying driver conditions into three categories: normal (alert), drowsy, and microsleep, with an average F1-score of 0.92. In addition, this study proposes the Alertness Index (AI) as a composite indicator calculated based on drowsiness frequency, eye closure duration, and yawning intensity to represent the driver’s alertness level more comprehensively. The system is also able to operate in real time with stable performance, supporting implementation in real-world conditions. The results demonstrate that the integration of YOLO, EAR, and MAR not only improves detection accuracy but also enables objective and data-driven driving performance evaluation. This system can be applied as a driver monitoring solution to improve road safety.
Co-Authors Abraham Caesar Yanuar Putra Adriati W, Rieke Adzikirani Adzikirani, Adzikirani Agung Sutrisno Agus Ganda Permana Aldino De Lama Alvi Syahrina Andre Kusuma Ariyanto, Yogi Asep Mulyana Bastiar, Berliana Della Oktriani Dendi Gusnadi Denny Darlis Dzikri Padilla Alfauzi Efrat Murpratama Enggar Sandy Susetya Fatacahul A, Arinal Fikri Elang Kesuma Hasanah Putri Ikrar Hanggara, Ikrar Irfan Darmawan Isa Mahfudi Kusumawardani, Mila Maretha Ruswiansari Marya, Dianthy Muhammad Obi Nugraha Muthiah, Siti Nurul Nia Ambarsari Purhendi Bayu Basuki Rachmadita Andreswari Rasyid, Muhammad Akida Jabbar Rieke Adriati Wijayanti Riska Kemala Ayu RIZKY ARDIANSYAH ROHMAT TULLOH Sigit Tri Cahyono Soelistianto, Farida Arinie Suci Aulia Syahrina, Alvi Tri Nopiani Damayanti Unang Sunarya Warih Puspitasari Wina Ayu Lestari Wirawan Wirawan