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All Journal InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Teknovasi : Jurnal Teknik dan Inovasi Mesin Otomotif, Komputer, Industri dan Elektronika Zero : Jurnal Sains, Matematika, dan Terapan ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JOURNAL OF SCIENCE AND SOCIAL RESEARCH JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Ensiklopedia Education Review Jurnal Mantik Journal of Applied Engineering and Technological Science (JAETS) Jatilima : Jurnal Multimedia Dan Teknologi Informasi Journal of Computer System and Informatics (JoSYC) INFOKUM Brahmana : Jurnal Penerapan Kecerdasan Buatan Jurnal Sains Teknologi dan Sistem Informasi Jurnal Info Sains : Informatika dan Sains International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) Jurnal Minfo Polgan (JMP) pendidikan, science, teknologi, dan ekonomi Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) Journal of Artificial Intelligence and Digital Business Indonesian Journal of Education And Computer Science Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK) International Journal of Industrial Innovation and Mechanical Engineering Jurnal Bisantara Informatika Proceedings of The International Conference on Computer Science, Engineering, Social Sciences, and Multidisciplinary Studies Jurnal Pengabdian Kepada Masyarakat Teknologi Informasi dan Komunikasi
Muhammad Syahputra Novelan
Universitas Pembangunan Pancabudi
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences

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IMPLEMENTATION OF DEEP LEARNING ALGORITHM FOR PT GROWTH SUMATERA'S FACE DETECTION ATTENDANCE SYSTEM Norita Tampubolon; Penggabean Siahaan; Lewika Tampubolon; Zailani Sinabariba; Muhammad Syahputra Novelan
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 4 No. 12 (2025): NOVEMBER
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijset.v4i12.1552

Abstract

Attendance is a data collection activity to determine the number of employees present, arrival times, and departure times in a company. Attendance is divided into two types: manual and automatic. Manual attendance is an attendance process carried out using a handwritten note or signature form. Automatic attendance is an attendance process that involves technology. With facial recognition technology, an attendance system can be developed. Facial recognition technology is a computer technology that functions to determine facial location, facial size, feature detection, background image ignoring, and facial image identification. Facial recognition involves several variables, such as source images, processed images, extracted images, and a person's identity data. Deep learning with Convolutional Neural Networks is one method used to predict and classify different human facial images. This facial detection attendance system application is designed and built on a desktop platform, using the Python programming language. The application of deep learning algorithms with convolutional neural networks (CNN) in this facial detection attendance system can streamline the existing attendance system.
APPLICATION OF INTELLIGENT SYSTEMS (DEEP LEARNING) TOWARDS THE USE OF AI APPLICATIONS IN DAILY LIFE (PANCABUDI UNIVERSITY MEDAN) Ardiansyah; Aldy Agustian; Perianus lombu; Kiki Wulandari; Muhammad Syahputra Novelan
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 5 No. 1 (2025): DECEMBER
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijset.v5i1.1566

Abstract

As technology advances in this digital era, technology has become a very important thing for human life and has a dependency, marked by the use of digital machines that cause very rapid, significant changes to all sectors of human life, making it easier for humans to carry out activities and have dependencies. Artificial intelligence or better known as AI (Artificial Intelligence) is a major supporter in the development of intelligent systems (Intelligence Systems) that increase efficiency and innovation in various sectors of life. Therefore, the latest advances in AI's predictive capabilities can create a productive work environment. Although AI offers great potential to encourage innovation and better decision-making, there are also challenges in the use of AI such as ethical issues, data security, and infrastructure limitations that must be overcome to ensure responsible use.
IMPLEMENTATION OF AN INTELLIGENT SYSTEM TO PREDICT PRODUCT DEMAND WITH THE BACKPROPAGATION NEURAL NETWORK ALGORITHM Rahmat Idhami; Andri Saputra; Taufa Fadly; Robet Silaban; Muhammad Syahputra Novelan
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 5 No. 1 (2025): DECEMBER
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijset.v5i1.1591

Abstract

Accurate production prediction is essential in product sales efforts, especially food products whose raw materials have a short shelf life. This paper aims to present a system application model based on the Neural Network algorithm to predict the number of Siomay sales in the future, as a reference for preparing raw materials appropriately. The prediction uses historical data as system training data. The Neural Network trial used 357 historical sales data, 7 initial data used as references, 315 data as training data, and 35 latest data as test data. The neural network input variables were the average sales of the previous 7 days, sales value 1 to 3 days before, the end of the month, identification of discount/benefit days, and weekends. This research methodology includes data collection, pre-processing through data normalization to a scale of [0, 1], and designing a neural network architecture consisting of an input layer, a hidden layer, and an output layer. The Backpropagation algorithm was used to train the network by iteratively updating weights to minimize error values ​​using the Mean Squared Error (MSE). Test results show that the BPNN model is capable of recognizing demand patterns with a high degree of accuracy. Optimal parameters such as learning rate, number of epochs, and number of neurons in the hidden layer significantly influence convergence speed and prediction accuracy. This system is expected to be a management tool for making more accurate and efficient inventory procurement decisions.
Co-Authors ', Khairunnisa , Arpan Adli Abdillah Nababan Adli Abdillah Nababan Afif Yasri Aldy Agustian Amin, Muhammad Aminuddin Indra Permana Andri Saputra Andysah Putera Utama Siahaan Antoni, Robin Anugrah, Maisya Fitri Ardiansyah ARDIANSYAH ARDIANSYAH Aria Dhanu Tirta Arpan Aurelia, Cindy Aisha Ayumi Kartika Sari Ayumi Kartika Sari Bayu Angga Wijaya Daniel Panjaitan Darmeli Nasution Datin, Maha Valne Defri Abdul Majid Nasution Dian Kurnia Fachri, Barany Fajri Razak Fathia, Aulia Ukhti Febby Sittah Gunawan Fitri Anugrah, Maisya Gunawan, Andri Harahap, Nur Azizah Hardinata, Rio Septian Harefa, Ade May Luky Haryadi, Patrialman Heri Eko Rahmadi Putra Ibnu Gunawan Ilka Zufria IQBAL , MUHAMMAD Irhami, Zahara Reva Islam, Muhammad Remanul Jacky Lius Juliyandri Saragih Khumairoh, Annisa KIKI WULANDARI Lewika Tampubolon Limbong, Yohannes France Lubis, Syaiful Rahman Mestika, Dani Mufida Padilla, Eva Muhammad Iqbal Muhammad Rizki Muhammad Wahyudi Muhammad Zen, Muhammad Muhardi Saputra Nasution, Abdul Muin Nasution, Indra Norita Tampubolon Padilla, Eva Mufida Penggabean Siahaan Perianus lombu Prayogi, Dhimas Putra, Purwa Hasan Putri, Ranti Eka Rahmat Idhami Raja Nasrul Fuad Rambe, Siska Mayasari Ramlan Marbun Rido Favorit Saronitehe Waruwu Rio Septian Hardinata Rizal, Chairul Rizko, M. Azhari Rizky Putro Nugroho Dwi Cahyo Robet Silaban Safii, Aidul Safi’i, Aidul Sari Harahap, Nurlina Sella Monika Br Tarigan Selvida, Desilia Septiansyah, Yudha Setiawan, Ahmad Deni Setiawan, Albin Simanullang, Rahma Yuni Siregar, Andree Rizky Yuliansyah Sitepu, Andri Ismail Sitepu, Nabila Putri Br Siti Aisyah Sitorus , Zulham Solly Aryza Suhendar - Suteja, Ade Guna Sutiono, Sulis Syafitri, Febry Dwi Syahputra, Zulfahmi Syahputri, Maulisa Syahri, Rahma Taufa Fadly Uc Mariance Utari Utari Wanny, Puspita Wijaya, Rian Farta Wiwik Handayani Zailani Sinabariba Zulfahmi Syahputra Zulfahmi Syahputra Zulfahmi Syahputra