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

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

Published: 2026-07-01

Articles

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 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
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

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

Articles

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

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

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

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

Metric Space Based Product Portfolio Optimization for MSMEs Using Genetic Algorithm

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

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

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

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

An Attribute-Based Explainable Recommendation System for Culinary Tourism

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

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

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

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

Explainable Machine Learning Framework for Thyroid Cancer Recurrence Prediction

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

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

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