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All Journal Jurnal Mantik Penusa JIPN (Journal of Informatics Pelita Nusantara) JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Mantik Jurnal Teknik Informatika C.I.T. Medicom Journal of Computer Networks, Architecture and High Performance Computing International Journal Software Engineering and Computer Science (IJSECS) Jurnal Algoritma Data Sciences Indonesia (DSI) Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Jurnal Abdimas Maduma
Yennimar Yennimar
Universitas Prima Indonesia
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Physics Social Sciences

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Driver Drowsiness Detection Using Multi-Metric Modeling Based on Facial Landmarks Ferry Angga Wijaya; T. Tamil Arsen; Ayu Endang Syah Putri; Mika Damayanti; Yennimar Yennimar
International Journal Software Engineering and Computer Science (IJSECS) Vol. 6 No. 1 (2026): APRIL 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v6i1.7106

Abstract

Drowsiness is a major factor contributing to traffic accidents, as it significantly reduces driver alertness, reaction time, and decision-making ability. This study aims to develop a real-time driver drowsiness detection system based on multi-metric modeling using facial landmarks. Three physiological indicators were employed: Eye Aspect Ratio (EAR) to measure eye openness, Mouth Aspect Ratio (MAR) to identify yawning activity, and Percentage of Eye Closure (PERCLOS) to assess prolonged eye closure patterns. These features were extracted using MediaPipe Face Landmarker, a lightweight and efficient facial landmark detection framework. A quantitative approach with a rule-based method was applied without requiring machine learning training, making the system computationally efficient and easily deployable. Sliding window smoothing was incorporated to reduce false detections and improve overall detection stability. The system was implemented as an Android mobile application and evaluated in real-time conditions using the device's front camera. Experimental results demonstrate that PERCLOS serves as the most stable and reliable drowsiness indicator, while the integration of all three metrics yields significantly more accurate detection compared to relying on a single indicator alone. This system offers a promising non-intrusive, accessible, and practical solution for real-time driver monitoring.
Klasifikasi Sentimen Opini Publik pada Isu Anggaran DPR Menggunakan Support Vector Machine Berbasis Pembobotan Kelas Julio Siringoringo; Sapril Perdamean Tanjung; Hery Budi Santoso Lukito; Jackleenius Prancis Rumapea; Yennimar
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.3539

Abstract

This study classifies YouTube users’ sentiment toward the issue of the Indonesian House of Representatives’ allowance increase using a TF-IDF-based Support Vector Machine (SVM). The dataset consists of 26,074 cleaned comments, with a class distribution of 74.61 percent negative and 25.39 percent positive. Initial labeling was performed using a lexicon-based approach and was validated on a limited scale through manual annotation of 150 samples, with a Cohen’s Kappa value of 0.8298. The Linear Kernel SVM model with `class_weight=‘balanced’` achieved an accuracy of 97.10 percent, an F1-score of 98.05 percent for the negative class, and 94.40 percent for the positive class. Using `class_weight=‘balanced’` did not improve all metrics, but it increased the positive class recall from 95.47 percent to 96.15 percent. The comparison results show that the Linear Kernel outperforms the RBF Kernel on high-dimensional data. Despite the high classification performance, 151 misclassified data points were found, influenced by contextual ambiguity, sarcasm, slang, and lexical coverage limitations. Further research is recommended to expand manual validation and utilize contextual semantic features.
Inovasi Mesin Tenun Ulos Batak dengan Menggunakan Teknologi Digital untuk Pemberdayaan Ekonomi Masyarakat Tradisional di Desa Sumber Jaya Amelia Simanungkalit; Yennimar; Nurul Ajima Ritonga; Srihartati Sitompul; Tina Dame Br. Simamora; Nancy Angelia Purba; Reagan Surbakti Saragih
JURNAL ABDIMAS MADUMA Vol. 5 No. 1 (2026): Januari, 2026
Publisher : English Lecturers and Teachers Association (ELTA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52622/jam.v5i1.568

Abstract

Pengabdian kepada masyarakat ini bertujuan untuk mendeskripsikan pelaksanaan serta hasil Program Kemitraan Masyarakat (PKM) yang dilaksanakan pada kelompok pengrajin ulos di Desa Sumber Jaya, Kecamatan Siantar Martoba, Kota Pematangsiantar. Mitra kegiatan menghadapi dua permasalahan utama, yaitu keterbatasan kapasitas produksi akibat penggunaan metode produksi tradisional serta lemahnya kemampuan manajerial, khususnya dalam penyusunan business plan yang terstruktur. Kegiatan PKM dirancang untuk mengatasi permasalahan tersebut melalui penerapan inovasi mesin tenun berbasis teknologi digital, pendampingan teknis, serta pelatihan penyusunan business plan. Metode pelaksanaan kegiatan meliputi tahapan sosialisasi, pelatihan, penerapan teknologi, pendampingan, dan evaluasi. Pengumpulan data dilakukan melalui observasi, dokumentasi, serta analisis perbandingan kondisi sebelum dan sesudah pelaksanaan program. Hasil kegiatan menunjukkan adanya peningkatan kapasitas produksi yang signifikan hingga 80% serta peningkatan efisiensi waktu produksi sebesar 40%. Selain itu, konsistensi kualitas produk juga mengalami peningkatan yang ditunjukkan oleh kenaikan tingkat lolos mutu dari 80% menjadi 95%. Pada aspek manajerial, seluruh mitra (100%) telah mampu menyusun business plan sederhana namun terstruktur yang mencakup analisis biaya, perencanaan produksi, dan strategi pemasaran. Temuan ini menunjukkan bahwa program PKM secara efektif mampu meningkatkan kapasitas produksi dan kemampuan manajerial pengrajin ulos, sekaligus berkontribusi terhadap pemberdayaan ekonomi masyarakat secara berkelanjutan serta pelestarian warisan budaya lokal. Kata Kunci : Pengabdian kepada masyarakat; inovasi tenun digital; pengrajin ulos; rencana bisnis; UMKM
PEMASARAN ROTI JALA UNTUK MENINGKATKAN EKONOMI KELUARGA DI LINGKUNGAN 18 RENGAS PULAU MEDAN Sri Wahyuni Tarigan; Widya Fernanda Putri; Anita Christine Sembiring; Uni Pratama Tarigan; Yennimar Yennimar
Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Vol. 3 No. 2 (2023): Desember 2023
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jpstm.v3i2.1533

Abstract

Abstract: Roti jala is a typical food of the Malay people in North Sumatra. This dish is also often found in Riau. In Medan (Deli) North Sumatra, this food is often served with chicken curry or goat curry mixed with pickled pineapple and can also be served with pickled cucumber and carrots. Roti jala is a combination of Indian and Malay cuisine. Along with the development of the times, roti jala is not only sold by the Malay community, now various tribes have made and marketed it, including the community of Environment 18, Rengas Pulau Subdistrict. People in the 18 district of Rengas Pulau generally sell roti jala as an additional income of 70% and a main income of 30% to improve the family economy. Keyword: delicious bread mesh  Abstrak: Roti jala adalah makanan khas masyarakat Melayu di Sumatera Utara. Hidangan ini juga banyak di temui di Riau. Di Medan (Deli) Sumatera Utara makanan ini sering disajikan dengan gulai kari ayam atau gulai kari kambing di campur acar nenas dan bisa juga dengan acar timun dan wortel. Roti jala merupakan perpaduan masakan India dengan Melayu. Seiring dengan perkembangan zaman roti jala tidak hanya di jual oleh masyrakat Melayu saja, saat ini berbagai suku telah membuat dan memasarkannya termasuk masyrakat Lingkungan 18 Kelurahan Rengas Pulau. Masyarakat di lingkungan 18 Kelurahan Rengas Pulau umumnya menjual roti jala sebagai penghasilan tambahan sebanyak 70% dan penghasilan utama sebanyak 30% untuk meningkatkan ekonomi keluarga. Kata kunci: jala roti
SOSIALISASI KANDUNGAN ZAT BERBAHAYA PADA PANGAN JAJAN ANAK SEKOLAH DENGAN METODE UJI CEPAT DI SD. NUR FADILLAH Sri Wahyuni Tarigan; Widya Fernanda Putri; Anita Christine Sembiring; Uni Pratama Tarigan; Yennimar Yennimar; Christin Erniati Panjaitan; Dini M. Hutagalung
Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Vol. 4 No. 2 (2024): Desember 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jpstm.v4i2.2546

Abstract

Abstract: Currently, the food circulating in society, especially in elementary schools, mostly consists of processed foods laden with additives, the safety of which for children is unknown.The purpose of this activity is to provide information and knowledge about the dangers of consuming snacks that contain harmful substances such as formalin, borax, and synthetic dyes in the school environment. This initiative also aims to introduce methods for testing children's snacks that contain harmful substances in schools. The participants of the activity are teachers and 6th-grade students at SD Nur Fadhillah Medan. The activity included socialization about the dangers of snacks containing borax, formalin, and textile dyes through a demonstration of rapid testing using a rapid test kit to test for formalin, borax, and synthetic dyes. The results obtained after testing school snacks using the rapid test method showed that 70% of the school children's snacks in Nur-Fadilah contained harmful additives. Keyword: Rhodamin_B Abstrak: Saat ini, makanan yang beredar di masyarakat, khususnya di sekolah dasar, sebagian besar merupakan makanan olahan yang sarat dengan zat aditif,  yang tidak di ketahui keamanannya bagi anak.Tujuan dari kegiatan  ini adalah untuk memberikan informasi dan pengetahuan tentang bahaya mengkonsumsi jajanan  yang mengandung zat berbahaya seperti formalin, boraks, dan pewarna sintetis di lingkungan sekolah. Inisiatif ini juga bertujuan untuk memperkenalkan metode pengujian pangan jajan anak yang mengandung zat berbahaya  di sekolah. Peserta kegiatan adalah guru dan siswa kelas 6 di SD Nur Fadhillah Medan. Kegiatan tersebut meliputi sosialisasi tentang bahaya  jajanan yang mengandung boraks, formalin, dan pewarna tekstil dengan cara  demonstrasi uji cepat  menggunakan rapid tes kit  untuk  menguji formalin, boraks dan pewarna sintetis. Hasil yang di peroleh setelah dilakukan pengujian jajanan sekolah dengan metode uji cepat sebanyak 70 % pangan jajan anak sekolah di Nur-Fadilah mengandung zat aditif yang berbahaya. Kata kunci: Rhodamin_B
Co-Authors Amelia Simanungkalit Amir Amir Anita Christine Sembiring Anita Yose Fanny Manurung Annisa Fadhlila Antonius Nyomadi Ayu Endang Syah Putri Ayu Widila Bayu Gunara Charles Charles Christin Erniati Panjaitan Cindy Cindy Denny Peter Leonardo Dewi S. Sihotang Dini M. Hutagalung Dono Sitinjak Estomih Wau Evan Chandra Sibarani Fachrul Rozi Ferry Angga Wijaya Gerson Tandiono Hery Budi Santoso Lukito Irwansyah Irwansyah Ivan Leonardo Silaban Jackleenius Prancis Rumapea Jodi Alexsander Laia Johanes T. Gultom Julfan Farman Zebua Julio Siringoringo kelvin kelvin Kristina Ginting Laila Hendrina Landong Hutasoit Lena LH Hasibuan M. Anhar Guci M. Rafi Faturrahman Mawaddah Harahap Mika Damayanti Miko Pasaribu Muhammad Iqbal Tri Rahmadi Muhammad Yusuf Nancy Angelia Purba Nurul Ajima Ritonga Pradana Yusna Pratiwi Pratiwi Ray Sanjaya Gulo Reinhard Oktaveri Gultom Reni Lusiana Simangunsong Reza Syahputra Risda Amelia Amanta Br Ginting Samuel Rifaldi Pasaribu Sapril Perdamean Tanjung Saragih, Reagan Surbakti Siregar, Saut Dohot Siwa Nesen Sri Wahyuni Tarigan Srihartati Sitompul Standley Malvin Japardy Stephen Boy Kristian Tafonao Steven Steven Sunarly Wijaya Suwandi Suwandi Syandi Nainggolan T. Tamil Arsen Tina Dame Br. Simamora Toppan Sintio Uni Pratama Tarigan Widya Fernanda Putri Wikesyah Putri Sitorus William S. Purba Yans Y.M.P. Situmorang