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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Dinamik Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Paradikma: Jurnal Pendidikan Matematika JURNAL PENELITIAN SAINTIKA ELEMENTARY SCHOOL JOURNAL PGSD FIP UNIMED Jurnal Daya Matematis Jurnal Informatika dan Teknik Elektro Terapan Seminar Nasional Informatika (SEMNASIF) Jurnal IPTEK JURNAL PENGABDIAN KEPADA MASYARAKAT Jurnal KARISMATIKA Bina Insani ICT Journal JURNAL SAINS INDONESIA Indonesian Journal of Artificial Intelligence and Data Mining INTECOMS: Journal of Information Technology and Computer Science Jurnal Cendekia : Jurnal Pendidikan Matematika Jurnal Perspektif M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika JATI (Jurnal Mahasiswa Teknik Informatika) Community Development Journal: Jurnal Pengabdian Masyarakat Budapest International Research and Critics in Linguistics and Education Journal (Birle Journal) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Journal of Soft Computing Exploration Jurnal Pengabdian kepada Masyarakat INCODING: Journal of Informatics and Computer Science Engineering J-Intech (Journal of Information and Technology) Economic Reviews Journal PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam (JURRIMIPA) Jurnal Umum Pengabdian Masyarakat (JUPEMAS) Journal of Informatics and Data Science (J-IDS) Jurnal KALANDRA Journal of Education Transportation and Business International Journal of Educational Insights and Innovations (IJEDINS) Ulil Albab
Hermawan Syahputra
Universitas Negeri Medan
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The Effect of Problem Based Learning Models on the Mathematical Dispositions of Class VIII Students of SMP Negeri 5 Stabat Luthfiah, Dina Aulia; Napitupulu, E. Elvis; Syahputra, Hermawan
PARADIKMA: JURNAL PENDIDIKAN MATEMATIKA Vol. 16 No. 2 (2023): PARADIKMA JURNAL PENDIDIKAN MATEMATIKA (July - December 2023)
Publisher : Study Program of Mathematics Education of Unimed Postgraduate Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/paradikma.v16i2.48044

Abstract

The purpose of this research is to investigate: (1) how students' mathematical dispositions differ depending on whether they were taught using a Problem-Based Learning model or an Ordinary Learning model; (2) how the mathematical dispositions of students are affected by the relationship between the learning style and Previous Students' Ability. This study is a quantitative investigation employing procedures that are semi experimental. The instruments of this research are problem solving ability tests and student disposition questionnaires. The participants in this research project are all 222 students enrolled in class VIII at SMP Negeri 5 Stabat during the academic year 2022/2023. There are a total of 222 individuals. The method of sampling utilized for this investigation was a straightforward random sampling method, and the total number of students comprising the sample was calculated using the Issac and Michael formula. Essay examinations and questionnaires were the research tools that were utilized in this investigation. A Two Way ANOVA was utilized in the analysis of the results. The findings of the research indicate the following: (1) the mathematical disposition of students in the class that uses problem-based learning is higher than that of students in the class that uses ordinary learning; (2) there is no interaction between the learning model and early mathematical abilities (high, medium, and low) on students' mathematical dispositions.Keywords: Problem Based Learning, Quasi Experiment, Mathematical Dispositions
Development of Cooperative Learning Tools Type Course Review Horay and Geogebra Media to Improve Spatial Thinking Skills and Mathematical Resilience of Grade VIII Students Siregar, Putri Mayang Sari; Syahputra, Hermawan; Fauzi, KMS. Amin
PARADIKMA: JURNAL PENDIDIKAN MATEMATIKA Vol. 16 No. 2 (2023): PARADIKMA JURNAL PENDIDIKAN MATEMATIKA (July - December 2023)
Publisher : Study Program of Mathematics Education of Unimed Postgraduate Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/paradikma.v16i2.48947

Abstract

This study aims to investigate the improvement and development of spatial thinking skills and mathematical resilience abilities of students using cooperatively developed learning tools of the Course Review Horay and Media Geogebra type; to investigate the validity, practicability, and efficacy of cooperatively developed learning tools of the Course Review Horay and Media Geogebra type in enhancing spatial thinking skills and resilience. This type of research is development research based on the ADDIE model. 33 MTs Al-Washliyah Tembung students participated in the study. The results demonstrated that 97% of the students, or 32 out of 33, improved their spatial reasoning skills. While only 19 of 33 students, or 58%, exhibited an increase in mathematical resilience. In addition, the results indicate that this development model is more effective than conventional classroom learning models at enhancing spatial reasoning and mathematical resilience. The learning aids created using cooperative Course Review Horay type and Geogebra are valid, applicable, and efficient.Keywords: ADDIE, Spatial Thinking Skills, Mathematical Resilience, Development Research
Prediksi Penjualan Produk Makanan dan Minuman Ringan pada PT. Sinar Niaga Sejahtera Menggunakan Metode Holt-Winters Berbasis Website Lubis, M. Revano Ananda; Taufik, Insan; Al Idrus, Said Iskandar; Arnita, Arnita; Syahputra, Hermawan
INCODING: Journal of Informatics and Computer Science Engineering Vol 5, No 2 (2025): INCODING OKTOBER
Publisher : Mahesa Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34007/incoding.v5i2.1024

Abstract

PT. Sinar Niaga Sejahtera is a food and beverage distribution company that still relies on conventional methods to determine stock levels, often facing inventory management challenges due to fluctuations in market demand. This study aims to predict sales of the 15 best-selling products at the Tebing Tinggi branch using the Holt-Winters method, based on a website that provides historical sales data from January 2021 to December 2024. The research stages include problem identification, data collection, application of the Holt-Winters method, model evaluation using Mean Absolute Percentage Error (MAPE), and implementation of a website-based system. The results of the study on one product, Garuda Atom Original, show optimal parameters of α = 0.1, β = 0, and γ = 0.8 with an MAPE value of 5,703115%, which is classified as very good. The implementation of a website-based sales prediction system makes it easier for administrators to manage product data, record sales data, and obtain prediction results in the form of informative graphs and tables, thereby helping the company reduce the risk of overstocking or understocking and supporting more effective data-driven decision-making.
Classification of Purple Passion Fruit Ripeness Levels Using Convolutional Neural Network (CNN) Siregar, Mochammad Gani Alfa Alkhoiri; Said Iskandar Al Idrus; Hermawan Syahputra; Insan Taufik; Kana Saputra S
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.1787

Abstract

Passiflora edulis Sims (purple passion fruit) is a fruit that offers numerous health benefits and possesses high economic value. However, the manual assessment of ripeness by traders tends to be subjective and inconsistent, leading to post-harvest losses of up to 50%. This study developed a classification model for determining the ripeness level of purple passion fruit using a Convolutional Neural Network (CNN) and implemented it in a web-based application. The CNN model was designed to classify four ripeness stages (unripe, half-ripe, ripe, and rotten) with the addition of a non-passion-fruit class to enhance the system’s robustness. The dataset consisted of 2,000 images divided into five classes: four ripeness levels of purple passion fruit (unripe, half-ripe, ripe, and rotten) and one non-passion-fruit class as a comparator. All images were in JPG and PNG formats. The CNN architecture comprised four convolutional layers with 16, 32, 64, and 128 filters, respectively. Evaluation of various data-splitting ratios (80:20, 70:30, 60:40) and learning rates (0.001, 0.0001, 0.01) showed that the optimal configuration was achieved at a ratio of 80:20 with a learning rate of 0.001, resulting in a training accuracy of 96.72% and a testing accuracy of 95.76%, with a loss value of 0.1811. Validation using 5-Fold Cross Validation produced an average accuracy of 95.40%. The model was integrated into a web application developed using Flask and JavaScript, deployed on the PythonAnywhere cloud platform, enabling users to upload images and automatically obtain ripeness predictions to assist traders in sorting fruits more quickly and accurately.
Co-Authors Abil Mansyur, Abil Ade Amelia, Tasya Adhi Guna, Ekin Agus Harjoko Ahmad Andi Solahuddin Ahmad Hidayat Ajizah Siregar Aldiva Wibowo Alfattah Atalarais Amelia Br Siregar, Ririn Amelia Vega S. Meliala, Ruth Ami . Riana Andani D N Andika Maulana, Sandy Angel Tumanggor, Asri Angginy Akhirunisa Siregar Ani Sutiani Apiek Gandamana Arnita Arnita Asrin Lubis Bornok Sinaga BORNOK SINAGA Budi Akbar, Muhammad citra Daulay, Leni Karmila Davina, Sherly Dedy Husrizal Syah, Dedy Husrizal Dedy Kiswanto Defiyanti, Aqilah Delvin Ibo, Martince Deo Demonta Panggabean Dhea Putri Adriani DIdi Febrian Dina Aulia Luthfiah Drilanang, Mhd Ilyasyah Dwi Zahra Putri, Raisya E. Elvis Napitupulu E. Elvis Napitupulu, E. Elvis Edi Syahputra Edward Perdana Sinaga Elisabet Butarbutar, Lastri Fanny Rahmadani Farmawaty Tambunan, Vivielda Fauzi, KMS. Amin Fransiska Sihombing, Esra Hafiz, Alvin Harefa, Meilinda Suriani Hasratuddin Siregar Hidayatul Arifin, Muhammad Husna Batubara, Shabrina Ida Ayu Putu Sri Widnyani Ihsan Zulfahmi Ihsan Zulfahmi Ika Purnama Sari Imelda, Yusmita Impana Manik, Kristin Indriani.S, Dechy Deswita Insan Taufik Irhamna Irhamna Irmaya, Nia Irya Shakila Syukron, Ananda Iwan Jepri Izwita Dewi Josafat Simanjutak, Todo Kana Saputra S Karimuddin Hakim Hasibuan Kartika, Dinda Khairun Nadiah Kms. Amin Fauzi Lazuardi Harahap, Muhammad Lubis, M. Revano Ananda Luge, Miclyael Luthfiah, Dina Aulia M. Ari Maulana Mahyuni Mahyuni Martina Restuati Maulana, Raihan Maya Oktora MHD. Reza M.I. Pulungan Mia Yolanda Siregar Muhammad Febrilian Zulrahman Mukti Hamjah Harahap, Mukti Hamjah Nasution, Dinda Indriani Nico Pasaribu, Michael Niska, Debi Yandra Nova Yanti Panjaitan Nur Wahyuni Nurmala Berutu Nurul Maulida Surbakti Oktavia, Grace Palendeo Sitepu, Kalpin Pane, M Iqbal Anata Pane, Yeremia Yosefan Panggabean, Suvriadi Panjaitan, Clara Kresensia Panjaitan, Nova Yanti Permata Putri Pasaribu, Yohanna Prana Walidin, Adamsyach Purba, Boy Hendrawan Purba, Desni Paramitha Putri Mayang Sari Putri Mayang Sari Siregar R Givent A Simanjorang Ramadhan Manik, Albert Ramadhani, Fanny Rambe, Imelda Wardani Rangkuti, Muhammad Aswin Riana, Ami Richi, Alfina Said . Iskandar SANTI MARIA SIMARMATA Santi Maria Simarmata Sembiring, Rinawati Sinaga, Elya Juni Arta Siregar, Mochammad Gani Alfa Alkhoiri Siregar, Putri Mayang Sari Siti Nabila Panjaitan Solahudin, Ahmad Andi Sri Dewi Sriadhi Sriadhi, Sriadhi Steven Imanuel Naibaho Sukma, Ayman Human Suleho, Febrina Syamsah Fitri Syarief Afifi Sumantri Syawal Gultom Tri Bowo Atmojo Veryawan, Veryawan Waliyul M Siregar Warjaya, Angga Wibowo, Aldiva winsyahputra Ritonga Yazid Noor, Muhammad Zul Amry Zulfahmi Indra, Zulfahmi Zulfahrizan, Atta