Vol. 8 No. 1 (2026): Articles Research Januari 2026

Articles

• Articles

  An Optimized Lightweight CNN with Randomized Hyperparameter Search for Real-Time Image-Based Malware Detection

  Stefanus Eko Prasetyo

  Universitas Internasional Batam

  Kevin Chandra Wijaya

  Universitas Internasional Batam

  Haeruddin

  While image-based malware detection using deep learning has shown promise, existing methodologies predominantly rely on computationally expensive pre-trained architectures (e.g., VGG, ResNet) that create…

  View Article → 83-91

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  DOI: https://doi.org/10.47709/cnahpc.v8i1.7765
• Articles

  Generalized Chatterjea Type Contractions on Integrated Matrix Graph Metric Spaces

  Desi Vinsensia

  Program Studi Bisnis Digital, STMIK Pelita Nusantara Medan, Indonesia

  Yulia Utami

  Program Studi Teknik Informatika, STMIK Pelita Nusantara Medan, Indonesia

  M. Kurniawan G.S

  Program Studi Teknik Informatika, STMIK Pelita Nusantara Medan, Indonesia

  Lira Virna

  Program Studi Teknik Informatika, STMIK Pelita Nusantara Medan, Indonesia

  This paper proposes a computationally verifiable integrate fixed point framework on the integrated metric space , where combines a continuous component endowed with the matrix induced metric with invertible…

  View Article → 149-159

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  DOI: https://doi.org/10.47709/cnahpc.v8i1.7882
• Articles

  Evaluation of Machine Learning Algorithms for an Early Warning System of Student Graduation in a Python Programming Course

  Rahmatika Hizria

  Universitas Deli Sumatera

  Ericky Benna Perolihin Manurung

  Universitas Deli Sumatera

  Victor Saputra Ginting

  The high failure rate in Python programming courses has become a serious issue for educational institutions. This study aims to evaluate the performance of four machine learning algorithms as the basis of an…

  View Article → 92-112

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  DOI: https://doi.org/10.47709/cnahpc.v8i1.7718
• Articles

  Performance Analysis of an Offline Text Detection System Based on Edge AI A Case Study of DokuScan Pro

  Defi Pujianto

  Universitas Mahakarya Asia

  Kadarsih

  Universitas Mahakarya Asia

  Sri Hartati

  Universitas Mahakarya Asia

  The growing use of mobile document scanning applications has increased the demand for text detection systems that can operate reliably in offline and on-device environments. Although Edge AI enables local…

  View Article → 160-179

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  DOI: https://doi.org/10.47709/cnahpc.v8i1.7854
• Articles

  Deep Learning-Based Multi-Tooth Segmentation on Panoramic Radiographs Using YOLOv8 Architecture

  Ahmad Ridwan

  Universitas Amikom Yogyakarta

  Pramawahyudi

  Department Computer Engineering, Faculty of Information Technology, Universitas Andalas, Indonesia

  Desy Purnama Sari

  Department of Prosthodontics, Facultyof Dentistry, Universitas Andalas, Indonesia

  Hanisah

  Kol. H. M. Syukur Jambi Mental Hospital, Jambi Provincial Government, Jambi, Indonesia

  Yogendra Rao Musunuri

  Department of Control and Instrumentation Engineering, Changwon National University, South Korea

  This research introduces a multi-class tooth-level segmentation framework on panoramic radiographs using YOLOv8, trained on clinically annotated Indonesian dental data. A dataset of 302 annotated panoramic…

  View Article → 182-192

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  DOI: https://doi.org/10.47709/cnahpc.v8i1.7710
• Articles

  The DESIGN FACTOR THE CAPABILITY LEVEL OF INFORMATION TECHNOLOGY GOVERNANCE AND RECOMMENDATIONS FOR IMPROVEMENT USING COBIT 2019: A CASE STUDY AT A PRIVATE UNIVERSITY IN PALEMBANG

  Muhamad Yamin Achiruddin

  Universitas MDP, South Sumatera, Indonesia

  Abdul Rahman

  Universitas MDP, South Sumatera, Indonesia

  Private university in Palembang that has utilized information technology to support its educational processes. This study demonstrates how COBIT 2019 design factors can be operationalized to identify…

  View Article → 113-122

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  DOI: https://doi.org/10.47709/cnahpc.v8i1.7800
• Articles

  Designing and Evaluating a User-Centered Cash Flow Monitoring Dashboard for Higher Education Using Design Thinking and UEQ Framework

  Amalia

  STT Terpadu Nurul Fikri

  Rahmi Izzati

  Sistem Informasi, Sekolah Tinggi Teknologi Terpadu Nurul Fikri, Indonesia

  Bambang Harie Wiyono

  Sistem Informasi, Sekolah Tinggi Teknologi Terpadu Nurul Fikri, Indonesia

  R. Adhari Cahya Mahendra

  Sistem Informasi, Sekolah Tinggi Teknologi Terpadu Nurul Fikri, Indonesia

  Betty Amalia

  Sistem Informasi, Sekolah Tinggi Teknologi Terpadu Nurul Fikri, Indonesia

  Although cash flow monitoring dashboards have been widely implemented in higher education institutions, existing studies predominantly focus on technical development or usability testing, with limited…

  View Article → 133-148

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  DOI: https://doi.org/10.47709/cnahpc.v8i1.7858
• Articles

  Performance and Energy Efficiency Assessment of Embedded Arduino Vibrating Sieving System for Dry Powder Materials

  Marysca Shintya Dewi

  Universitas Dian Nusantara

  Linda Marlinda

  Universitas Nusa Mandiri

  Komarudin

  Universitas Dian Nusantara

  Dry powder sieving is a crucial process for micro, small, and medium enterprises (MSMEs), where particle uniformity directly impacts product quality and production efficiency. Traditional vibrating sieving…

  View Article → 171-181

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  DOI: https://doi.org/10.47709/cnahpc.v8i1.7711
• Articles

  Sentiment Analysis of Shopee User Reviews Using Recurrent Neural Network with LSTM for Real-Time Web-Based Prediction

  Suci Ayu Qurani

  Program Studi Informatika , Fakultas Teknik, Universitas Muhadi Setiabudi, Indonesia

  Bambang Irawan

  Program Studi Informatika , Fakultas Teknik, Universitas Muhadi Setiabudi, Indonesia

  Nur Ariesanto Ramdhan

  Program Studi Informatika , Fakultas Teknik, Universitas Muhadi Setiabudi, Indonesia

  Sentiment analysis has become an important approach for understanding user opinions on e-commerce platforms. Shopee user reviews provide valuable information that can be utilized to evaluate service quality…

  View Article → 123-132

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  DOI: https://doi.org/10.47709/cnahpc.v8i1.7824
• Articles

  Minimizing Subjectivity in Esports Adjudication: A Decision Support System for Indonesia Sim Racing League Using C4.5 Algorithm

  Mu'ammar Dafa'

  Faculty of Science and Technology, Universitas Prima Indonesia Medan

  Delima Sitanggang

  Faculty of Science and Technology, Universitas Prima Indonesia Medan

  Mardi Turnip

  Faculty of Science and Technology, Universitas Prima Indonesia Medan

  The adjudication of racing incidents in the Indonesia Sim Racing League (ISL) currently faces challenges due to inherent subjectivity, inconsistency, and the time-consuming nature of decisions that rely…

  View Article → 1-9

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  DOI: https://doi.org/10.47709/cnahpc.v8i1.7376
• Articles

  Enhancing Water Quality Early Warning System Accuracy in Pangasius Aquaculture Using Machine Learning

  M Rais Hadyan

  universitas muhammadiyah banjarmasin

  Finki Donna Marleny

  Universitas Muhammadiyah Banjarmasin

  Ayu Ahadi Ningrum

  Universitas Muhammadiyah Banjarmasin

  Intensive catfish ( Pangasius sp. ) aquaculture faces significant economic risks driven by mass mortality events linked to unstable water quality, particularly toxic ammonia spikes and pH fluctuations.…

  View Article → 10-19

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  DOI: https://doi.org/10.47709/cnahpc.v8i1.7479
• Articles

  Developing a Digital Circular Economy Business Model for SIPETRA in Jatiluwih Village, Bali

  I Gede Dody Okta Biantara

  Universitas Pendidikan Ganesha

  Marmaiyatno Marmaiyatno

  Politeknik Internasional Bali

  I Made Kresna Dana

  Politeknik Internasional Bali

  Waste management in tourism villages has become a major environmental challenge due to increasing waste generation from tourism activities and limited local infrastructure. Jatiluwih Village, a UNESCO World…

  View Article → 20-35

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  DOI: https://doi.org/10.47709/cnahpc.v8i1.7403
• Articles

  Systematic Literature Review: A Comparison of Clustering Methods in Data Mining

  Roni Setyawan

  Universitas Muhammadiyah Surakarta

  Budi Murtiyasa

  Universitas Muhammadiyah Surakarta

  Clustering is one of the fundamental techniques in data mining used to group data instances based on inherent similarities without relying on predefined labels. This technique plays a crucial role in numerous…

  View Article → 36-53

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  DOI: https://doi.org/10.47709/cnahpc.v8i1.7333
• Articles

  IoT-Based Smart Air Quality System: A Real-Time Monitoring Solution for Indoor Air Quality

  Joni Candra

  INSTITUT TEKNOLOGI BATAM

  Hazimah

  Batam Institute of Technology, Indonesia

  Indoor Air Quality (IAQ) plays a crucial role in maintaining human health and comfort. This study aims to design and implement an Internet of Things (IoT)-based indoor air quality monitoring system integrated…

  View Article → 54-65

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  DOI: https://doi.org/10.47709/cnahpc.v8i1.7173
• Articles

  Comparison Of Adam and SGD For The Classfication Of Palm Tree Leaf Diseases With ResNet50

  Ardi al Ghifari Ardi

  Universitas Multi Data Palembang

  Nur Rachmat

  Universitas Multi Data Palembang

  Plants from the palm tree family (Arecaceae), such as coconut, oil palm, and date palm, play an important role in the economy and food security, especially in Indonesia. However, leaf diseases such as leaf…

  View Article → 66-74

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  DOI: https://doi.org/10.47709/cnahpc.v8i1.7501
• Articles

  The IT GOVERNANCE IN REGIONAL WATER COMPANY RISK MANAGEMENT USING THE COBIT 2019 METHOD

  Firmansyah

  Universitas MDP, South Sumatera, Indonesia

  Antonius Wahyu Sudrajat

  Universitas MDP, South Sumatera, Indonesia

  Digital transformation in the public utility sector, particularly in regional water-owned enterprises (BUMD), presents complex risk challenges ranging from cybersecurity threats to operational distribution…

  View Article → 75-82

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  DOI: https://doi.org/10.47709/cnahpc.v8i1.7723