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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Jurnal Ilmiah Media Sisfo IJISTECH (International Journal Of Information System & Technology) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) Building of Informatics, Technology and Science Jurnal Mantik JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) JUKI : Jurnal Komputer dan Informatika Jurnal Scientia Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) IJISTECH RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI JPM: JURNAL PENGABDIAN MASYARAKAT Journal of Social Responsibility Projects by Higher Education Forum Bulletin of Information Technology (BIT) Prosiding Snastikom Jurnal ABDIMAS Budi Darma Bulletin of Data Science Jurnal Nasional Teknologi Komputer Journal of Informatics, Electrical and Electronics Engineering Journal Global Technology Computer Jurnal Sains dan Teknologi Informasi Bulletin of Artificial Intelligence Management of Information System Journal ORAHUA : Jurnal Pengabdian Kepada Masyarakat Journal of Decision Support System Research Jurnal Mitra Pengabdian Farmasi Jurnal Komtika (Komputasi dan Informatika)
Dito Putro Utomo
Politeknik Negeri Medan, Medan
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Transportation Other

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Teknik Data Mining Dengan Menggunakan Algoritma Decision Tree Untuk Mengetahui Pola Pemahaman Mahasiswa Pada Matakuliah Pemrograman Sri Novida Sari; Putri Annisa; An Nisa Dian Rahma; Rama Prameswara Ritonga; Dito Putro Utomo
Bulletin of Information Technology (BIT) Vol 6 No 4 (2025): Desember 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i4.2339

Abstract

Medan State Polytechnic, as one of the leading vocational universities in Medan City, plays a crucial role in producing graduates who are ready to work and possess applied competencies according to industry needs. One of the strategic departments is the Computer Engineering and Informatics Department, which focuses on developing students' abilities in technology and programming. Programming courses are an important foundation in developing students' analytical and logical skills. However, many students still experience difficulties in understanding basic programming concepts, which results in low academic achievement and learning motivation. This study aims to identify patterns of student understanding in programming courses using the Decision Tree algorithm as a classification method. Through a data mining approach, this study attempts to extract hidden patterns from students' academic data to identify factors that influence their level of understanding. The Decision Tree algorithm was chosen because it is able to produce classification models that are easy to understand and interpret, and is effective in handling both categorical and numerical data. The research data was processed using Google Collaboratory with the help of the scikit-learn library. The testing process was carried out through the formation of a classification model, decision tree visualization, and confusion matrix analysis to measure model performance. Based on the test results, an accuracy value of 50% and an F1-score of 51.68% were obtained, indicating that the Decision Tree model has a good ability to predict and classify students' level of understanding of programming courses. Overall, this research provides an important contribution to the development of data-based learning strategies in vocational education environments. Through the results obtained, lecturers are expected to be able to adjust teaching methods according to student characteristics and abilities, so that the learning process becomes more adaptive, effective, and has a positive impact on improving student understanding of programming courses.
Utilization of Hybrid Digital Technologies for Optimizing Waste Bank Management and Elevating Community Literacy Imam Saputra; Mesran Mesran; Dian Purnama Sari; Dito Putro Utomo
Journal of Social Responsibility Projects by Higher Education Forum Vol 7 No 1 (2026): July 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jrespro.v7i1.10793

Abstract

Grassroots community waste banks play a pivotal role in urban environmental management; however, they frequently face operational bottlenecks due to reliance on conventional paper-based record-keeping. The community partner faced severe challenges, including administrative processing delays, accounting errors in customer balances, and limited market reach for upcycled products. To address these problems, this community service activity aimed to optimize waste bank administration and elevate digital marketing literacy through an integrated hybrid capacity-building framework. The contribution of this initiative lay in deploying a low-latency hybrid learning setup—combining dual-WAN bonding, multi-camera switching, and cloud-accessible digital ledger tools—to deliver interactive training across physical and synchronous online cohorts (). Methodologically, a mixed-methods approach evaluated participant progress using pre- and post-test diagnostic questionnaires and post-event usability surveys. The results of the community service demonstrated a statistically significant increase in participant digital literacy (), with composite cognitive scores improving from a baseline of to , achieving a high normalized Hake gain (). Field execution successfully digitized operational transaction logs, eliminated calculation discrepancies, and enabled digital cataloging on social media platforms for waste-derived products. Overall participant evaluation indicated outstanding satisfaction (), confirming the practical utility and technical reliability of the hybrid delivery system. This activity successfully transformed the partner's operational workflows from manual ledgers to transparent digital management while offering a scalable model for circular economy empowerment.
Analisa Perbandingan Algoritma Shannon Fano Dan Algoritma Stout Code Pada Kompresi File Teks Dito Putro Utomo; Abdul Karim; Muhammad Syahrizal
Management of Information System Journal Vol 4 No 2: Maret 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/mis.v4i2.2568

Abstract

The rapid development of technology today attracts a lot of attention from the wider community. The dynamic development of computers is accompanied by the ability to get information very quickly. Data compression is a technique to reduce the amount of data in the original data. Data compression is usually applied to computer machines. This happens because each symbol displayed on the computer has a different bit value. The large size of text files will be a problem for storage space. Because the need for text files is very important, we tend to collect data in the form of text files, and often without realizing it, we store it in large sizes. This causes the need for storage media to be large. To overcome this problem, text files that have a larger size are used by compressing text files. Large data will be compressed into a small size, which will reduce storage. After applying the comparison of the Shannon Fano Algorithm and the Stout Code algorithm, compressing the text file has proven that the text file has been successfully compressed. After performing the text file compression process, the author can conclude that the Shannon Fano algorithm is better at performing the compression process.
Co-Authors A M Hatuaon Sihite Abdul Karim Ade Ambarwati Br Ginting Aminuddin Aziz An Nisa Dian Rahma Annisa Apriliani Annisa Fadillah Siregar Annisah Annisah Asprina Br Surbakti, Asprina Br Atira Nabila Azlan, Azlan Bernadus Gunawan Sudarsono Bister Purba Boby Septia Pranata Butar Butar, Roi Martin Cici Alfiani Pradika Dita Dewi Maulida Sari Tanjung Dewi Yohana br Ginting Dian Purnama Sari Dini Rizqi Dwikunti Siregar Dwi Asdini Efori Buulolo Eka Feby Ronauli Lubis Eka Pratiwi Sumantri Faisal Amir Fince Tinus Waruwu Firman Telaumbanua Ginting, Winda Widia Br Guidio Leonarde Ginting Guidio Leonarde Ginting Hasibuan, Nelly Astuty Hendrikus Daely Ida Rizky Nasution Ihsan Ihsan Ilham Mubarik Ilham, Safarul Imam Saputra Imam Saputra Imam Saputra Indini, Dwina Pri Irfan Nainggolan Iskandar Zulkarnain Johanes Mario Purba Keke Annisa Siregar Kurnia Ulfa M Mesran Manik, Lastri Meiliyani Br Ginting, Meiliyani Br Mesran Mesran Mesran, Mesran Miftahul Khairat Miko Putra Haposan Tinambunan Muhammad Syahrizal Muhammad Syahrizal Murdani Murdani, Murdani Nainggolan, Dian Wichita Nainggolan, Laksono Nasib Marbun Nasib Sihombing Nastiti, Sindy Nelly Astuti Hasibuan Nona Oktari Noveriang Ndruru Nurjannah Oktari, Nona Pitriani Piliang Purba, Andrean Saputra Purba, Bister Purba, Roulina Agape Putri Annisa Radius Kharisman Ndruru Raheliya Br Ginting, Raheliya Br Rama Prameswara Ritonga Rama Prameswara Ritonga Refika Ratna Dilla Rian Syahputra Rivalri Kristianto Hondro Roni Yunis Russy Amelia Samueal Damanik Santri W Pasaribu Saragi, Naomi Labora Saragih, Soumi Rohmah Sarumaha, Lukas Sarwandi Wandi Sawitri Sawitri Selly Armasari Sihotang, Dahner Ismanda Bertenius Simatupang, Meylita Putri Sirait, Pahala Siregar, Tesa Aurelia Siswahyudianto Sitepu, Harun Rivaldo Soeb Aripin Sri Novida Sari Suginam Suharti Suharti Sulistianingsih, Indri Surizar Rahmi Danur Surya Darma Nasution Susi Mardiana Giawa Sussolaikah, Kelik Tesa Aurelia Siregar Ulva Rizky Amanda Virdyra Tasril Zahri Hubby Ramadhani