Vol. 8 No. 3 (2026): Research Paper July 2026

Articles

• Articles

  Comparative Evaluation of Naïve Bayes and Support Vector Machine for Human Development Index Classification

  Dwi Asa Verano

  Universitas Indo Global Mandiri

  Eka Putri Apriliani

  Universitas Indo Global Mandiri

  Zahratul Aliah

  Universitas Indo Global Mandiri

  Sarah Nur Arna Cholifah

  Universitas Indo Global Mandiri

  Amanda Dwi Tio Agustin

  Universitas Indo Global Mandiri

  Thomas

  Universitas Indo Global Mandiri

  Shinta Puspasari

  Universitas Indo Global Mandiri, Indonesia

  The Human Development Index (HDI) is one of the most widely used indicators for evaluating the quality of human development through health, education, and living standards. Accurate HDI classification is…

  View Article → 451-462

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  DOI: https://doi.org/10.47709/cnahpc.v8i3.9162
• Articles

  Architecture-Dependent Effects of CLAHE Enhancement Across YOLOv5, YOLOv8, YOLOv10, and YOLOv11 for Bone Fracture Detection

  Febri Aldi

  Universitas Putra Indonesia YPTK Padang

  Irohito Nozomi

  Universitas Putra Indonesia YPTK Padang

  Ronaldo Syahputra

  Universitas Putra Indonesia YPTK Padang

  Bone fracture detection in X-ray images remains challenging because fracture lines often appear as low-contrast, subtle, and visually similar patterns across fracture types. Although YOLO-based detectors have…

  View Article → 366-380

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  DOI: https://doi.org/10.47709/cnahpc.v8i3.8572
• Articles

  Implementation of the Threshold Method in an IoT-Based Monitoring System for Temperature, Humidity and Feed in Broiler Chicken Houses

  Febryan Djastin Arya Raharja

  Duta Bangsa University, Surakarta

  Joni Maulindar

  Duta Bangsa University, Surakarta

  Arif Setiawan

  Duta Bangsa University, Surakarta

  Broiler chickens require optimal house management to maintain productivity, particularly in terms of temperature, humidity, and feed availability. Monitoring that is still done manually can potentially cause…

  View Article → 345-355

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  DOI: https://doi.org/10.47709/cnahpc.v8i3.8808
• Articles

  Development of an Android-Based Inventory Decision Support System Using Rapid Application Development

  Said Hambali Takhir

  University of Deli, Sumatra, Indonesia

  Inventory management remains a significant challenge for many Micro, Small, and Medium Enterprises (MSMEs), particularly due to manual stock recording, delayed inventory updates, and inefficient purchasing…

  View Article → 416-429

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  DOI: https://doi.org/10.47709/cnahpc.v8i3.9100
• Articles

  An Attribute-Based Explainable Recommendation System for Culinary Tourism

  Ni Wayan Priscila Yuni Praditya

  Information Systems Study Program, Faculty of Computer Science, Universitas Indo Global Mandiri, Palembang, Indonesia

  Indah Pratiwi Putri

  Information Systems Study Program, Faculty of Computer Science, Universitas Indo Global Mandiri, Palembang, Indonesia

  Hendra Di Kesuma

  Information Systems Study Program, Faculty of Computer Science, Universitas Indo Global Mandiri, Palembang, Indonesia

  The rapid growth of digital tourism platforms has increased the availability of culinary destination information, making it challenging for users to identify destinations that best match their preferences.…

  View Article → 477-492

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  DOI: https://doi.org/10.47709/cnahpc.v8i3.9456
• Articles

  Real-Time Pest Monitoring System for Chili Plants Based on Internet of Things Using Image Sensors and Soil Moisture Sensors

  Hari Haran

  UNIVERSITAS PRIMA INDONESIA

  Jose Given Amanro Silaen

  UNIVERSITAS PRIMA INDONESIA

  Muhammad Fakhruddin Alrazi

  UNIVERSITAS PRIMA INDONESIA

  Ertina Sabarita Barus

  UNIVERSITAS PRIMA INDONESIA

  Muhammad akbar Raihansyah

  UNIVERSITAS PRIMA INDONESIA

  Pest infestation is one of the main causes of declining productivity in chili (Capsicum annuum L.) cultivation, while conventional monitoring still relies on manual visual inspection that is subjective,…

  View Article → 394-405

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  DOI: https://doi.org/10.47709/cnahpc.v8i3.8780
• Articles

  Development and Evaluation of a No-Code-Based Cash Flow Information System Using Base44 for Financial Reporting Monitoring (Case Study: Zanjus)

  Amalia

  Sistem Informasi, Sekolah Tinggi Teknologi Terpadu Nurul Fikri, Indonesia

  Fajar ‘Ainur Ridhwan

  Bisnis Digital, Sekolah Tinggi Teknologi Terpadu Nurul Fikri, Indonesia

  Salman Fathy Shiroth

  Bisnis Digital, Sekolah Tinggi Teknologi Terpadu Nurul Fikri, Indonesia

  Digital transformation in the financial management of small and medium enterprises (SMEs) has become an essential requirement for improving the efficiency, transparency, and accuracy of financial reporting.…

  View Article → 317-334

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  DOI: https://doi.org/10.47709/cnahpc.v8i3.8948
• Articles

  Implementation of K-Means Clustering for Grouping Post-Flood Disease Patterns in Affected Residential Settlements

  Hotler Manurung

  Sekolah Tinggi Manajemen Informatika dan Komputer (STMIK) Kaputama, Binjai, Indonesia

  Marto Sihombing

  Sekolah Tinggi Manajemen Informatika dan Komputer (STMIK) Kaputama, Binjai, Indonesia

  Ratih Puspadini

  Sekolah Tinggi Manajemen Informatika dan Komputer (STMIK) Kaputama, Binjai, Indonesia

  Flooding in Binjai City increases post-flood disease incidence in slum settlements due to inadequate sanitation and high environmental vulnerability, while disease records are often scattered, poorly…

  View Article → 430-440

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  DOI: https://doi.org/10.47709/cnahpc.v8i3.9210
• Articles

  Implementation of K-Medoids Clustering Method for B2B Service Price Segmentation at PT Telkom Tasikmalaya

  Elsa Amalinda

  Department of Information Systems Universitas Siliwangi, Tasikmalaya, Indonesia

  Andi Nur Rachman

  Department of Information Systems Universitas Siliwangi, Tasikmalaya, Indonesia

  Cecep Muhamad Sidik Ramdani

  Department of Information Systems Universitas Siliwangi, Tasikmalaya, Indonesia

  PT Telkom Indonesia Witel Tasikmalaya faces strategic challenges in monitoring customer behavior in real-time and determining optimal Business-to-Business (B2B) service pricing strategies due to conventional…

  View Article → 441-450

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  DOI: https://doi.org/10.47709/cnahpc.v8i3.9161
• Articles

  Analysis Of The Determinants Of Financial Resilience Among Retiree Customers Using An Explainable Ai (Xai) Approach

  Victor Saputra Ginting

  Universitas Deli Sumatera

  Rahmatika Hizria

  Universitas Deli Sumatera

  Said Hambali Takhir

  Universitas Deli Sumatera

  Financial resilience among high-risk retiree customer segments is a crucial issue in credit risk management, particularly because traditional scoring models are often black-box in nature and fail to provide…

  View Article → 493-503

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  DOI: https://doi.org/10.47709/cnahpc.v8i3.9459
• Articles

  Analysis of the Support Vector Machine Algorithm for Predicting New Student Admissions at MA Taruna AL Jabbar

  Faustina Wardhana

  Universitas Prima Indonesia

  Felix

  Universitas Prima Indonesia

  Elvis Ompusunggu

  Universitas Prima Indonesia

  Madrasah Aliyah (MA) Taruna Teknik Al Jabar is an educational institution sponsored by the Ministry of Education and Culture that holds a new student admission program periodically every year. However, the…

  View Article → 406-415

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  DOI: https://doi.org/10.47709/cnahpc.v8i3.8799
• Articles

  The Effectiveness of Using Python-Based Interactive Games in Improving Student Motivation and Learning Outcomes

  Amril Samosir

  Department of Management, Faculty of Economics and Management, Malahayati University

  Rizki Agung Wibowo

  Department of Management, Faculty of Economics and Management, Malahayati University

  Tyan Tasa

  Department of Computer Science, Kartamulia University

  This study aims to analyse the effectiveness of using Python-based interactive games in improving student motivation and learning outcomes. The method used was Research and Development (R&D) based on the…

  View Article → 381-393

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  DOI: https://doi.org/10.47709/cnahpc.v8i3.8987
• Articles

  Metric Space Based Product Portfolio Optimization for MSMEs Using Genetic Algorithm

  Desi Vinsensia

  Digital Bisnis, STMIK Pelita Nusantara Medan, Indonesia

  Yulia Utami

  Informatic Enggeneering, STMIK Pelita Nusantara Medan, Indonesia

  Andika Pandu Ramadhan

  Digital Bisnis, STMIK Pelita Nusantara Medan, Indonesia

  Nabila Shayka

  Digital Bisnis, STMIK Pelita Nusantara Medan, Indonesia

  Micro, Small, and Medium Enterprises (MSMEs) face capital allocation challenges across multi-category product portfolios in the digital era, while the classical Mean-Variance Optimization (MVO) model exhibits…

  View Article → 463-476

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  DOI: https://doi.org/10.47709/cnahpc.v8i3.9259
• Articles

  Comparative Machine Learning Classification for QRIS Quishing Detection Based on URL Features English

  Permadi Kusuma

  Universitas Cokroaminoto Palopo

  Muhammad Yusuf Halim

  Universitas Nahdlatul Ulama Kalimantan Timur

  Ruhamah

  Universitas Cokroaminoto Palopo

  The increasing adoption of the Quick Response Code Indonesian Standard (QRIS) as a digital payment method has been accompanied by the emergence of quishing, a phishing attack that exploits malicious QR codes…

  View Article → 293-304

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  DOI: https://doi.org/10.47709/cnahpc.v8i3.8940
• Articles

  Explainable Machine Learning Framework for Thyroid Cancer Recurrence Prediction

  Tuti Alawiyah

  Universitas Bina Sarana Informatika

  Taufik Wibisono

  Universitas Bina Sarana Informatika

  Recha Abriana Anggraini

  Universitas Bina Sarana Informatika

  Bambang Kelana Simpony

  Universitas Bina Sarana Informatika

  Yesti Siti Nurjanah

  Politeknik Triguna Tasikmalaya

  Accurate prediction of thyroid cancer recurrence is essential for improving long-term patient management and supporting evidence-based clinical decision-making. Although machine learning has demonstrated…

  View Article → 305-316

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  DOI: https://doi.org/10.47709/cnahpc.v8i3.8894
• Articles

  Web-Based Periodic Salary Increase Information System at The Biddokkes Polda Jambi Using Waterfall Method

  Sugeng Wibowo

  Jurusan Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Sulthan Thaha Saifuddin Jambi, Indonesia

  Mutmainnah

  Jurusan Rekayasa Perangkat Lunak, Institut Teknologi dan Bisnis Pelita Raya, Indonesia

  The administrative process for periodic salary increases for personnel at the Biddokkes Polda Jambi currently faces efficiency challenges, including the risk of data entry errors and delays in monitoring the…

  View Article → 335-344

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  DOI: https://doi.org/10.47709/cnahpc.v8i3.8609
• Articles

  Application of Deep Learning for Cardiac Arrhythmia Classification Based on ECG Signals

  Gabriela Septiani Simbolon

  Information Systems Study Program, Faculty of Science and Technology, Prima Indonesia University, Medan

  Gresia Cesilia Sirait

  Information Systems Study Program, Faculty of Science and Technology, Prima Indonesia University, Medan

  Sarah Theresia Aruan

  Information Systems Study Program, Faculty of Science and Technology, Prima Indonesia University, Medan

  Rivaldo Robertus Turnip

  Information Systems Study Program, Faculty of Science and Technology, Prima Indonesia University, Medan

  Jepri Banjarnahor

  Information Systems Study Program, Faculty of Science and Technology, Prima Indonesia University, Medan

  Mardi Turnip

  Information Systems Study Program, Faculty of Science and Technology, Prima Indonesia University, Medan

  Cardiac arrhythmia is a dangerous heart rhythm disorder, so early detection is crucial for effective treatment. Manual ECG (Electrocardiogram) analysis is less accurate, while deep learning can detect…

  View Article → 356-365

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  DOI: https://doi.org/10.47709/cnahpc.v8i3.8672