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All Journal Dinamik Jurnal Pendidikan Fisika Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Teknovasi : Jurnal Teknik dan Inovasi Mesin Otomotif, Komputer, Industri dan Elektronika Jurnal Mantik Penusa JIPN (Journal of Informatics Pelita Nusantara) JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Mantik Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Pendidikan dan Teknologi Indonesia Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Data Sciences Indonesia (DSI) Jurnal Indonesia Sosial Teknologi Indonesia Accounting Research Journal Jurnal Pengabdian Masyarakat dan Riset Pendidikan Repeater: Publikasi Teknik Informatika dan Jaringan AT-TAKLIM: Jurnal Pendidikan Multidisiplin
Siregar, Saut Dohot
Universitas Prima Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Other

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Pelatihan Internet Of Things (IoT) Untuk Meningkatkan Kompetensi Digital Siswa Di Smk Negeri Jorlang Hataran Perangin Angin, Despaleri; Gultom, Togar Timoteus; Sitanggang, Delima; Yennimar, Yennimar; Prabowo, Agung; Siregar, Saut Dohot; Ridwan, Achmad; Ginting, Riski Titian; HS, Christnatalis; Manday, Dhanny Rukmana
Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Vol. 7 No. 1 (2025): Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/abdimaspolibatam.v7i1.10114

Abstract

The purpose of this community service activity is to enhance digital competency skills at SMK Negeri I Jorlang Hataran. The method used in the implementation of this activity is training through the delivery of materials, practical training on the assembly and programming of IoT devices, and a question-and-answer session. The participants of this activity consist of 37 students from the 11th grade RPL (Software Engineering) major. The instruments used in this activity include participant feedback and activity documentation. The results of the implementation show that the participants' responses to the basic computer training were overall in the good category. The percentage of student responses reached 98.20%, which falls into the very good category.
Rancang Bangun IoT Otomatis Berbasis Sensor PIR untuk Menghemat Energi Listrik pada saat Ruangan Kosong Okman Tampubolon, Juan Renhard; Ramadan, Wahyu; Buulolo, Julianus; Purba, Piona Pricilia; Siregar, Saut Dohot
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 6 No. 4 (2025): Juni 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v6i4.8805

Abstract

Pemakaian listrik yang tidak efisien, terutama dari lampu yang menyala di ruangan kosong, menyumbang sekitar 30% pemborosan energi di sektor rumah tangga, perkantoran, dan industri menurut Kementerian Energi dan Sumber Daya Mineral Indonesia. Penelitian ini merancang sistem otomatisasi lampu berbasis Internet of Things (IoT) menggunakan sensor PIR (Passive Infrared) dan mikrokontroler Arduino untuk mendeteksi keberadaan manusia. Sistem ini akan mengaktifkan atau mematikan lampu secara otomatis berdasarkan aktivitas di dalam ruangan, sehingga mampu menghemat konsumsi energi listrik. Studi dilakukan di ruang kelas dan laboratorium Universitas Prima Indonesia dengan menganalisis pola penggunaan energi. Hasil pengujian menunjukkan bahwa sistem mampu merespons gerakan dalam ±2 detik, mengurangi konsumsi energi hingga 30–50% tergantung kondisi ruangan. Penelitian ini juga mengisi celah dari studi sebelumnya yang belum mengintegrasikan pemantauan real-time dan fitur override manual. Dengan penggunaan sensor PIR yang lebih akurat dibandingkan sensor cahaya (LDR), sistem ini mendukung efisiensi energi yang lebih adaptif dan berkelanjutan. Rancang bangun ini berpotensi diterapkan luas dalam lingkungan akademik maupun industri.
Comparison of K Nearest Neighbor Algorithm with Apriori Algorithm to Analyze Lifestyle Patterns in Hypertensive Patients Steven Steven; Ricky Wijaya; Helbert Yawin; Saut Dohot Siregar
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 6 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i6.1134

Abstract

Hypertension is one of the most influential cardiovascular diseases that can lead to organ disorders such as heart dysfunction or stroke and hypertension is often discovered by chance. This disease can interfere with the work of other organs if left untreated, especially the heart and kidneys. Not paying attention to diet, exercise, stress, smoking, and drinking alcohol can all be causes of increased risk of hypertension. To predict people with hypertension and find out the comparison of behavior and lifestyle patterns with hypertension patients using a priori algorithm in the case study of Sei Semayang Health Center. So the results of rapidminer use the apriori algorithm to analyze the Comparison of K the nearest Neighbor Algorithm with the apriori Algorithm to Analyze Lifestyle Patterns in Hypertensive Patients the results obtained is U1 which means there are people with hypertension aged 25-38 years who have more hypertension and the results are H2 which means that people have but do not control to the doctor with a pattern style such as consuming alcohol, Smoking, and lack of exercise, sugar consumption, consumption of saturated fat and foods that contain a lot of salt and rarely consume vegetables or fruits and foods containing MSG then more and more people who have hypertension with an unhealthy lifestyle.
Implementation of the YOLO Method for Detection of Human Emotions Based on Facial Mimics Thomas Felison; Erwin conery firtan; Steven Steven; Willyam Chandra; Saut Dohot Siregar
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 10 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i10.1196

Abstract

Emotion detection through facial expression recognition plays an important role in everyday life, such as how to respond correctly to emotional expressions in social interactions, so that you can establish and build verbal or nonverbal communication with other people and so on. Facial expressions are facial changes in response to a person's emotional state, intentions, or social communication. Face detection is the first step that must be taken in facial analysis, including facial expression recognition. There are many methods that can be used to carry out the face detection process, such as the YOLO method. This YOLO method reframes object detection as a single regression problem, directly from image pixels to bounding box coordinates and class probabilities. By using the YOLO method, the process only needs to look once at the input image, to predict what objects are in the image and where those objects are. Based on the results of the tests carried out, the YOLO method can be used to detect human facial expressions with a success rate of 80%, with neutral, surprise and disgust facial expressions having a good level of accuracy and fear facial expressions having a poor accuracy level. The YOLO method is able to detect facial expressions of humans who wear accessories such as glasses.
Covid-19 data visualization using tableau Rudy Tantowi; Calvin Calvin; Saut Dohot Siregar
Indonesia Accounting Research Journal Vol. 13 No. 1 (2025): September: Auditing, Finance, Accounting, Management
Publisher : Institute of Accounting Research and Novation (IARN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/iacrj.v13i1.523

Abstract

The COVID-19 pandemic crisis resulted in the accumulation of extensive epidemiological data that demanded the implementation of advanced visualization techniques to support community health surveillance systems. This research adopts the Tableau platform in the development of a dynamic dashboard for a holistic examination of COVID-19 data. A quantitative-descriptive methodological approach was applied using secondary databases from global repositories covering parameters of cases, fatalities, morbidity, and territorial distribution. The construction of the dashboard consolidates chronological-geographical visualization, predictive analytics, and assessment of vaccination efficiency. The findings indicate the superior capability of Tableau in processing epidemiological big data with optimal performance metrics. Temporal investigation identified recurring patterns with different wave characteristics, while geographical mapping exposed the epicenters of transmission and propagation paths. The forecasting model achieved high precision at near-term horizons (MAPE 8.45% for 7-day prediction). Vaccination evaluation displayed a constructive correlation between coverage levels and the suppression of incidence. Analysis of user experience confirmed preferences for an interface that is user-friendly with sophisticated analytical capabilities. This study contributes academically by enriching the literature on health data visualization and practically by offering a dashboard model that supports real-time public health decision-making.
Qualitative design of online reservation application for MSMEs Piter Antonius; Saut Dohot Siregar
Indonesia Accounting Research Journal Vol. 13 No. 1 (2025): September: Auditing, Finance, Accounting, Management
Publisher : Institute of Accounting Research and Novation (IARN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/iacrj.v13i1.524

Abstract

Digital transformation has become an essential requirement for Micro Small Medium Enterprises (MSMEs) in the culinary sector to face contemporary market competition. This research aims to explore the design and development process of online reservation applications that align with the specific characteristics of culinary MSMEs through a qualitative case study approach. The research methodology employs data triangulation through in-depth interviews, participatory observation, and document analysis involving culinary MSME owners, operational staff, and customers in the Bandung region. Research findings indicate that conventional reservation systems have significant limitations in terms of accuracy, efficiency, and information accessibility. Implementation of Progressive Web Apps-based applications with digital payment integration successfully improved operational efficiency by up to 60% and user satisfaction reached 88% based on the system usability scale. The findings confirm that adoption of online reservation technology provides transformational impact on culinary MSME business models, enhancing competitive advantage and customer retention rate by 18%. This research contributes to the development of sustainable and scalable digitalization framework for culinary MSMEs.
Co-Authors Achmad Ridwan, Achmad Agung Prabowo Andreas Saputra Nainggolan Anthony Hutapea Aritonang, Madhani Gokma Hot Bayu Angga Wijaya Berkat Panjaitan Buulolo, Julianus Calvin Calvin Calvin Calvin Dapit Parasian Simarmata Debora Indriama Delima Sitanggang, Delima Denis Kinarwan Dessy Permatasari Ermi Girsang Erwin conery firtan Fachrul Rozi Gari, Paskah Kurniawan Ginting, Riski Titian Hari Salim Butar-Butar Helbert Yawin Hendra Mangaraja Tua Apul Tampubolon Hotromasari Dabukke HS, Christnatalis Irfan Ernala Khavitanjali, Khavitanjali Lestari Lestari Loi, Anita Manday, Dhanny Rukmana Mawaddah Harahap Mawaddah Harahap Mawaddah Harahap, Mawaddah Milton Siahaan Nita Sintami Nurul Khairina Okman Tampubolon, Juan Renhard Panjaitan, Ruth N Parangin angin, Reynaldi Valentino Perangin Angin, Despaleri Piter Antonius Piter Antonius Polfan, Wilsen Pratama , Jordan Putra Purba, Piona Pricilia Ramadan, Wahyu Ricky Supriyanto Ricky Wijaya Riki Marthin Simanjuntak Robin Robin Rozi, Fachrul Rudy Tantowi Seftia Angelina Sihotang, Dohardo Dulisep Silvin Berkat Harapan Mendrofa Simangunsong, Andri Daniel Martua Simarmata, Allwin M Simatupang, Ronauli Siregar, Afrahul Hidayah Steven Steven Steven Steven Tambunan, Raymond Hosea Thomas Felison Togar Timoteus Gultom Willyam Chandra Yennimar Yennimar Yennimar, Yennimar Yohana Marbun Yordan, Vedi Yusra Uli Rasita Ginting