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All Journal Techno.Com: Jurnal Teknologi Informasi JURNAL PENGABDIAN KEPADA MASYARAKAT Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING MODELING: Jurnal Program Studi PGMI IT JOURNAL RESEARCH AND DEVELOPMENT PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Jurnal Teknik Informatika UNIKA Santo Thomas INTECOMS: Journal of Information Technology and Computer Science Zero : Jurnal Sains, Matematika, dan Terapan ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JISTech (Journal of Islamic Science and Technology) AXIOM : Jurnal Pendidikan dan Matematika Jurnal Teknologi Sistem Informasi dan Aplikasi J-SAKTI (Jurnal Sains Komputer dan Informatika) 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) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Kurawal - Jurnal Teknologi, Informasi dan Industri Jurnal Riset Informatika AL-ULUM: JURNAL SAINS DAN TEKNOLOGI Jurnal Ilmiah Binary STMIK Bina Nusantara Jaya Jurnal Review Pendidikan dan Pengajaran (JRPP) Progresif: Jurnal Ilmiah Komputer Jurnal Informatika dan Rekayasa Elektronik JSR : Jaringan Sistem Informasi Robotik Jatilima : Jurnal Multimedia Dan Teknologi Informasi Jurnal Teknik Informatika C.I.T. Medicom G-Tech : Jurnal Teknologi Terapan Science Midwifery JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JIKA (Jurnal Informatika) INFOKUM Community Development Journal: Jurnal Pengabdian Masyarakat TIN: TERAPAN INFORMATIKA NUSANTARA U-NET Jurnal Teknik Informatika Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) MEANS (Media Informasi Analisa dan Sistem) Journal of Computer Networks, Architecture and High Performance Computing JiTEKH (Jurnal Ilmiah Teknologi Harapan) IJISTECH Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Pendidikan dan Teknologi Indonesia Journal La Multiapp Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer Instal : Jurnal Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Info Sains : Informatika dan Sains Jurnal Mandiri IT Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Armada Informatika Journal of Information Systems and Technology Research Jurnal Sains dan Teknologi JOMLAI: Journal of Machine Learning and Artificial Intelligence Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Innovative: Journal Of Social Science Research JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI Jurnal Komputer Antartika Scientica: Jurnal Ilmiah Sains dan Teknologi Jurnal Pengabdian Masyarakat Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Jurnal Ilmiah Nusantara Modem : Jurnal Informatika dan Sains Teknologi Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Teknologi : Jurnal Ilmiah Sistem Informasi Algebra : Jurnal Pendidikan Sosial dan Sains
Abdul Halim Hasugian
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Penerapan Sistem Pakar untuk Diagnosis Kerusakan Smartphone Menggunakan Metode Forward Chaining Berbasis Android Muhammad Syahuda Hasibuan; Abdul Halim Hasugian
TIN: Terapan Informatika Nusantara Vol 7 No 2 (2026): July 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i2.10699

Abstract

This study aims to design and develop an Android-based expert system application used to diagnose smartphone malfunctions using the Forward Chaining method. The main issue in this study is the limited knowledge of lay users in understanding the symptoms and types of smartphone malfunctions before seeking repairs. Research data was obtained through interviews with expert smartphone technicians at CarlCare Mobile Phone Repair Service in Medan, which is an official service center for Transsion vendors, namely Infinix, Itel, and Tecno. The data collected consists of 45 symptoms, 37 types of damage, 44 diagnostic rules, and 37 brief repair solutions. This application was developed using Flutter and Dart, with Firebase as the primary database and SQLite as the local database to ensure the application remains usable offline after synchronization is complete. The Forward Chaining method was applied by matching symptoms selected by the user with IF-THEN rules in the knowledge base to generate a diagnostic conclusion. The implementation results show that the app can display fault categories, symptom lists, diagnostic results, brief solutions, diagnostic history, as well as database synchronization and reset features. Black-box testing results indicate that all features function as expected. Thus, this app can help users obtain an initial diagnosis of Transsion smartphone faults in a simple, fast, and targeted manner.
ANALISA DAN PERANCANGAN SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PASANGAN HIDUP MENURUT BUDAYA KARO DENGAN MENGGUNAKAN METODE ANALITYCAL HIERARCHY PROCESS (AHP) Abdul Halim Hasugian; Hendra Cipta
Algoritma: Jurnal Ilmu Komputer dan Informatika Vol 2, No 1 (2018): April 2018
Publisher : Universitas Islam Negeri Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (481.258 KB) | DOI: 10.30829/algoritma.v2i1.1612

Abstract

Kajian ini bertujuan untuk membuat analisa dan perancangan sistem pendukung keputusan pemilihan hidup menurut budaya karo dengan menggunakan metode analytical hierarchy process (AHP). Objek utama sistem pendukung keputusan ini adalah memberikan saran memberikan saran kepada pengguna aplikasi terhadap pasangan hidupnya sesuai dengan kriteria yang ditentukan. Hasil yang diberikan bukan paksaan dan hanya berupa saran semata. Sehingga pengguna dapat melihat hasil calon pasangan yang berdasarkan bantuan sistem pendukung keputusan ini. Hasil yang dicapai adalah terciptanya suatu aplikasi sistem pendukung keputusan yang dapat digunakan untuk memilih pasangan hidup menurut budaya karo daan sesuai dengan kriteria yang dibutuhkan. Sistem ini membantu mendukung proses pengambilan keputusan untuk pemilihan pasangan. Kata kunci : Sistem, keputusan, pemilihan pasangan, Analytical Hierarchy Process (AHP)
K-Nearest Neighbor Classification of Fish Catch Species in Tanjungbalai Fahmi; Abdul Halim Hasugian
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 10 No. 1 (2026): Issues July 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v10i1.17997

Abstract

Fish catch identification is still frequently performed manually, which may lead to recording errors, particularly when fish species have similar shapes, colors, and textures. This study aims to apply the K-Nearest Neighbor (KNN) algorithm to classify fish catch images in Tanjung Balai City. The research object is limited to three fish species: tuna, mackerel, and Spanish mackerel. The dataset consists of 627 images, divided into 534 training data and 93 testing data. The research stages include image preprocessing using resize with padding at 224 x 224 pixels, color feature extraction using HSV color space, texture feature extraction using Gray Level Co-occurrence Matrix (GLCM), KNN parameter optimization using Grid Search Cross Validation, and evaluation using a confusion matrix. The testing results show an accuracy of 61.29%, precision of 68.65%, recall of 61.29%, and F1-score of 62.83%. The tuna class achieved the best performance, while the Spanish mackerel class was most frequently misclassified. These results indicate that KNN can be used as an initial method for digital image-based fish classification.
Sistem Deteksi Dan Monitoring Jendela Rumah Berbasis Sensor Magnetik Dengan Logika Fuzzy Mamdani Rino Ariansyah; Abdul Halim Hasugian
JURIKOM (Jurnal Riset Komputer) Vol. 13 No. 2 (2026): April 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v13i2.9563

Abstract

Home security is often disrupted by false alarms because conventional systems rely solely on binary logic that does not consider the context of time and the magnitude of window opening. This study designs and implements an Internet of Things (IoT)-based window detection and monitoring system that integrates an MC 38 magnetic sensor and a HY SRF05 ultrasonic sensor, with inference processing using Mamdani Fuzzy Logic on a NodeMCU ESP8266 microcontroller. The system is equipped with a DS3231 RTC module and an NTP synchronization mechanism to maintain timeliness, and provides adaptive responses through LED indicators, buzzer sound patterns, Telegram notifications, and a Flutter-based mobile application. The research objective is to produce contextual alarm decisions (Safe, Alert, Danger) to reduce false alarms without sacrificing response speed. The main contribution is the implementation of a time-aware multi-sensor approach and edge processing so that the system is able to assess the level of urgency based on the physical status of the window, the distance of damage, and the time of the incident. Testing was carried out in tightly closed scenarios, small edits during the day, wide edits at night, and disturbances due to wind or vibration. Test results showed a resolution accuracy of 93.85%, an average ultrasonic measurement error of 0.63% (a difference of <0.5 cm at the test distance), and an average notification latency to the app and Telegram of around 5 seconds. These findings demonstrate that the integration of redundant sensors with fuzzy inference improves intrusion detection evidence in smart home windows
Sistem Rekomendasi TV Series Berdasarkan Genre Menggunakan Algoritma KNN Deni Fahrizal; Abdul Halim Hasugian
INSOLOGI: Jurnal Sains dan Teknologi Vol. 4 No. 4 (2025): Agustus 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/insologi.v4i4.6225

Abstract

The problem of choice overload on TV series streaming platforms often makes it difficult for users to find content that suits their preferences. To address this challenge, this study develops a Content-Based Filtering-based recommendation system by applying the K-Nearest Neighbor (KNN) algorithm and the Jaccard Similarity metric. The designed system analyzes users' genre preferences, such as Drama, Sci-Fi, and Comedy, while integrating rating, popularity, and release year factors to generate more personalized recommendations. Evaluation of 500 TV series titles from the TMDB API shows a high level of accuracy, with Precision and Recall reaching 1.0 for specific genre preferences, as well as stable performance with an F1-Score of 0.67 for cross-genre preferences. These findings prove that the proposed model is effective in reducing choice overload and significantly improving the user experience in exploring content on streaming platforms. Furthermore, this approach has the potential to be further developed by integrating sentiment analysis and real-time audience behavior data to generate increasingly adaptive and relevant recommendations.
Klasifikasi Gaya Hidup Siswa Menggunakan Metode K-Nearest Neighbors Syahrina Indah Harahap; Ilka Zufria; Abdul Halim Hasugian
JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI Vol. 4 No. 2 (2026): April : Jurnal Ilmiah Sains Teknologi dan Informasi
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jiti.v4i2.1785

Abstract

This research aims to classify students’ lifestyles using the K-Nearest Neighbors (KNN) algorithm. The dataset consists of 392 high school students obtained from Kaggle, with key attributes including study hours, social media usage, Netflix viewing duration, attendance, sleep quality, internet quality, mental health, and extracurricular activities. KNN was chosen for its simplicity in distance-based classification, measured using Euclidean Distance. The data was divided into training and testing sets, then evaluated using accuracy and a confusion matrix. The results show that KNN effectively classifies students’ lifestyles into four categories: healthy, less active, at risk, and highly at risk. This classification is expected to assist educational institutions, parents, and students in understanding lifestyle patterns and their impact on academic performance and mental well-being. Furthermore, this study emphasizes the relevance of applying machine learning in education, aligned with Islamic values concerning health, discipline, and the optimal use of time.
Co-Authors Abdillah, Ibnu Faiz Adam Damiri Manurung Adi Hartono Aditya Maulana Azanzi Girsang Afandi Sahputra Afiksih, Mufliha Afriani, Dina Aidil Halim Lubis Aidil Halim Lubis Ajeng Dwi Pratiwi Alfarizi, Muhammad Alhabib, Muhammad Farhan Ali Darta Ali Ikhwan Alwy Azyari Harahap Amalia Daulay, Rizki Amelia Anggraini, Arizka Anggraini, Sindi Annisa Shafira Zuhri Apriani, Puja Arif, Mhd. Fakhrozi Armansyah Armansyah Armansyah Armansyah Armansyah Aruan, Nur Jamilah Asrul Suwondo AULIA, RIZKA Auliani, Wirna Rizka Azhar, Joehari Azhari, Wahyu Bagus Januar Bandaharo, Bandaharo Bermiko Kasah Padang Bunga Nurul Manisa Dalimunthe, Ayu Sahriani Dandi Darmansyah Dea Amallia Deni Fahrizal Dewi Afrianti Dharma, Fahri Dinda Zukhoiriyah Donny Dwi Putra Eferoni Ndururu Elsa Azila Rahman Elvida Futri Mahara Fahmi Fakhriza, M. Fakhrurrozi Nst Farah Zaida Gema Ramadhan Gilang Armawan Saka Ginting, Masitha Putri Ardhana Girsang, Aditya Maulana Azanzi Gunawan, Gunawan Hanny Puput Eliyarista Saragih Harahap, Muhammad Fitrah Affandi Harahap, Nasywa Al Afif Hasibuan, Ardina Khoirunnisa Hendra Cipta Heni Pujiastuti Heri Santoso Heri Santoso Heri Santoso HERI SUSANTO Hidayah, Adinda Fita Hidayati, Risma Hsb, Munawir Siddik Ibnu Faiz Abdillah Ibnu Rusydi Ikhsan, Muhammad Ilham Ilham Ilka Zufria Imam Zaki Husein Nst Irawan, Muhammad Arief Irene Sri Morina Januar, Bagus K Khairunnisa Khaidir Hanafi Khairuna Khairuna Khairunnisa, K Kusuma, Sintiawati Lubis, Akbar Maulana Lubis, Desy Ramadhani Lubis, Indah Alfitri M Mahyudi M. Fakhriza M. Khalil Gibran M. RIZKY RAMADHAN M.Alif Fahrezy Mahara, Elvida Futri Maimunah Rahmadani Marpaung, Rizq Alwi Marwah, Khoirul Wijak Alfaizh Maulida, Dzikra Maya Khairani Mhd Furqan Mhd Ikhsan Rifki Mhd Rafly Syah Pahlevi Miftahul Jannah Mikho Alfatih Harahap Muhammad Ezar Raditya Muhammad Ikhsan Muhammad Ikhsan Muhammad Ridzki Hasibuan Muhammad Sayuthi Muhammad Siddik Hasibuan Muhammad Suhery Muhammad Syahuda Hasibuan Mulya Alfan Simatupang Murdani Mutiara Sintia Dewi Nadyah Almirah Simanjuntak Nasution, Yurika Nst, Fakhrurrozi Nurmaiyah Nurmaiyah Ong, Russell Pazri Pazri Prasetio, Muhammad Aditya Prayoga, M. Irsan Pristiwanto, Pristiwanto Putri Hanifah Putri, Cindy Ananda Putri, Pebriani Rahadian Fatta Batubara Rahmad Prayogi Harahap Rahmawati Rahmawati Raissa Amanda Putri Rajani, Attila Rakhmat Kurniawan R Ramadhani, Muthia Ramadhani, Silvia Rano, Rano Irawan Reza Muhammad Rijal, Mhd. Nanda Khairul Rina Anggraini Rina Anggraini, Rina Rina Widyasari Rino Ariansyah Rizki Ali Akbar Pasaribu Rizki Amalia Rizky Pratama Putra Rizky Ramadhan Rizqi Hidayat Tanjung RR. Ella Evrita Hestiandari Ryo Vikri Alif S, Amri Yuda Sabuki, Robi Saefuddin, Anan Saka, Gilang Armawan Sela, Dhea Shania Oktawijaya Sheila Safira Siahaan, Ahmad Taufik Al Afkari Simanjuntak, Salmah Simatupang, Aidil Akbar Sintiawati Kusuma Siregar, Muhammad Faisal Siregar, Nora Arianti Siti Hayatul Fauziah Ritonga Siti Juhroini Ritonga Siti Nurhaliza Sofyan Siti Sumita Harahap Sitorus, Ridha Saryani Situmorang, Rantouli Solifiah Batubara, Febi Sri Wulan, Sri Sriani Sriani Sriani Sriani, S Suandi Padang Suendri Suendri, Suendri Suhardi Suhardi Suhardi, Suhardi Sulindawaty Syahrina Indah Harahap T. Raihan Yudisthira TONNI LIMBONG Tria Elisa Ulfah, Auliana Wahyudi, Zul Attoriq Farhan Wanda Windary Wina Fadia Ardianti Yani, Sri Suci Yazid Hulaini Habbani Nasution Yusuf Karim Rambe Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution, Yusuf Ramadhan Zaidan, Muhammad Zidanul Akbar Ziqra Addilah