Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal Unri Conference Series: Community Engagement Jurnal Teknik Mesin, Industri, Elektro dan Informatika Journal of System and Technology
Siti Nurjanah
Universitas Riau
Humanities Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Pengembangan Semangka Dayun sebagai Produk Unggulan Melalui Indikasi Geografis untuk Perlindungan Hak Kekayaan Intelektual Sukamarriko Andrikasmi; Ledy Diana; Mubarak Mubarak; Reny Fitri Yani; Hussein Al Muhtadeebillah; Dian Pratiwi; Siti Nurjanah; Fahrur Rozi
Unri Conference Series: Community Engagement Vol 7 (2025): Seminar Nasional Pemberdayaan Masyarakat
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/unricsce.7.444-448

Abstract

This community service activity aims to encourage the development of Dayun Watermelon as a superior regional product while providing legal protection through the Geographical Indication (GI) scheme as a form of Intellectual Property Rights (IPR). Dayun Watermelon has unique taste, quality, and cultivation techniques that are passed down from generation to generation, so it has the potential to become a regional asset with high economic and cultural value. The implementation was conducted through socialization regarding the importance of IPR protection, technical training in preparing Geographical Indication documents, mentoring farmer groups in building institutions, and facilitating cooperation with local governments and related stakeholders. The results indicate an increase in farmer and community understanding regarding the benefits of Geographical Indication protection, the formation of a collective understanding to maintain product quality, and the initial steps in preparing IPR application documents. This activity is expected to strengthen the competitiveness of Dayun Watermelon, improve farmer welfare, and protect local identity through a sustainable IPR protection system.
Sistem Deteksi Kantuk Pengemudi berbasis DLIB Facial Landmark dan Rasio Kedipan Mata menggunakan OPENCV secara Real-time M Ikhsan; Siti Nurjanah; Dila Marta Putri; Ika Mayla Sari; Hudaya Muna Putra; Ririn Violina; Radinal Dwiki Novendra; Yoan Purbolingga
Journal of System & Technology (SYSTEC) Vol. 2 No. 1 (2026): Journal of System & Technology (June Edition)
Publisher : Jurusan Teknik Elektro, Fakultas Teknik, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Kecelakaan lalu lintas akibat kondisi mengantuk saat berkendara merupakan permasalahan keselamatan yang serius dan belum terselesaikan secara tuntas. Penelitian ini mengimplementasikan sistem deteksi kantuk pengemudi secara real-time berbasis kecerdasan buatan dengan memanfaatkan OpenCV untuk akuisisi video dari webcam dan pustaka Dlib untuk ekstraksi 68 titik facial landmark. Kontribusi utama penelitian ini adalah pengembangan sistem tiga-kelas (active, drowsy, sleep) menggunakan mekanisme pencacah frame dengan ambang batas empat frame berturut-turut, yang beroperasi tanpa GPU khusus disertai alarm audio otomatis. Berbeda dengan penelitian terdahulu yang umumnya hanya membedakan dua kondisi, sistem ini menambahkan kelas 'active' sebagai konfirmasi eksplisit kondisi pengemudi yang waspada. Pengujian terhadap 30 percobaan menghasilkan akurasi 90%, recall rata-rata 0,90, dan rata-rata waktu respons alarm 0,65 detik. Hasil ini menunjukkan bahwa pendekatan berbasis rasio keterbukaan mata dan pencacah frame efektif sebagai prototipe sistem deteksi kantuk ringan syang dapat direproduksi pada perangkat komputasi konvensional.
Implementasi Teknologi Chatbot sebagai Media Informasi di Universitas Negeri Medan M Ikhsan; Dila Marta Putri; Siti Nurjanah; Asde Rahmawati; Fahrizal Fahrizal; Bastul Wajhi Akramunnas
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 4 No. 1 (2025): JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v4i1.4820

Abstract

Natural Language Processing (NLP) is a branch of Artificial Intelligence (AI) that deals with the interaction between computers and humans through natural language. In general, NLP is applied in various applications, such as language translators, for example Google Translate, and chatbots. This study will discuss further about chatbots with a software development approach using the System Development Life Cycle (SDLC) method. The dataset used in this study was obtained from the website of the State University of Medan (Unimed) and some additional information collected from third parties. Although the State University of Medan has implemented information technology, the response to questions received through the campus's online messaging service is still relatively slow, because until now these questions are still answered manually by the admin. The author and team pay attention to how a university provides information to students and prospective students regarding various questions about the campus and academic environment. Because problems were found in the information service system on the Unimed campus, the researcher provided an information service to solve this problem. This study resulted in an information service in the form of a chatbot for the State University of Medan, with an accuracy rate of around 70%. This chatbot is designed to operate through the Telegram messaging application, so it is expected to increase efficiency in responding to user questions.
Co-Authors Andrikasmi, Sukamarriko Asde Rahmawati Bastul Wajhi Akramunnas Dian Pratiwi Dila Marta Putri Dila Marta Putri Fahrizal Fahrizal Fahrur Rozi Hudaya Muna Putra Hussein Al Muhtadeebillah Ika Mayla Sari Ledy Diana M Ikhsan M Ikhsan Mubarak Mubarak Novendra, Radinal Dwiki Reny Fitri Yani Ririn Violina Yoan Purbolingga