Vol. 8 No. 2 (2026): Research Paper April 2026

Articles

• Articles

  Deep Learning–Based Forest Fire Classification Using MobileNetV3, ResNet50, and YOLOv8

  Djarot Hindarto

  Universitas Nasional

  Asrul Sani

  Magister Teknologi Informasi, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional

  Arie Gunawan

  Sistem Informasi, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional

  Forest and land fires pose significant environmental, economic, and public health challenges worldwide, particularly in regions with extensive forest coverage and prolonged dry seasons. Early and accurate…

  View Article → 193-204

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  DOI: https://doi.org/10.47709/cnahpc.v8i2.8112
• Articles

  Evaluation of Data Exposure Risks on Unencrypted Application Layer Protocols in RT/RW Net "X" Community Network Using NIST SP 800-86 Framework

  Reza Febriana

  Universitas Siliwangi

  Muhammad Sidik Asyaky

  Universitas Siliwangi

  Security vulnerabilities in community-based networks, such as RT/RW Net, remain a critical concern due to the widespread use of unencrypted protocols. This study presents a quantitative evaluation of data…

  View Article → 205-214

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  DOI: https://doi.org/10.47709/cnahpc.v8i2.8014
• Articles

  A COMPARATIVE ANALYSIS OF THE NAIVE BAYES AND C4.5 ALGORITHMS IN DETERMINING ASSISTANT BRANCH MANAGERS AT PT. BANK XYZ

  Absony

  Universitas MDP, South Sumatera, Indonesia

  Yuistia

  Universitas MDP, South Sumatera, Indonesia

  Determining the right leader is a crucial factor in organizational success, including in the banking sector. This study aims to compare the performance of two popular classification algorithms, namely Naïve…

  View Article → 215-224

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  DOI: https://doi.org/10.47709/cnahpc.v8i2.7938
• Articles

  Multi-Scale Hierarchical Diffusion Networks for Efficient Layout Generation: Improving Efficiency via Hierarchical Framework and Multi-Decoder Architectures

  Kalyan Chakravarthy

  ITU

  Layout generation remains a challenging task in automated design systems, where existing diffusion models often require extensive computational resources and numerous sampling steps. This work presents a…

  View Article → 225-234

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  DOI: https://doi.org/10.47709/cnahpc.v8i2.7497
• Articles

  Hyperparameter Sensitivity of Vanilla Knowledge Distillation for Compact CNNs on CIFAR-100

  Mochamad Rizal Fauzan

  National Taipei University of Technology

  Raden Muhammad Rafi Rachman

  Universitas Pendidikan Indonesia

  Shifa Rangga Saputra

  Universitas Pendidikan Indonesia

  Daffa Irsyad Nugraha

  Universitas Pendidikan Indonesia

  Knowledge distillation has become an effective strategy for improving compact convolutional neural networks, yet the performance of vanilla knowledge distillation in lightweight image classification is still…

  View Article → 235-246

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  DOI: https://doi.org/10.47709/cnahpc.v8i2.8239
• Articles

  Design and Implementation of a Real-Time IoT-Enabled Embedded Monitoring Architecture for an Off-Grid Infant Incubator

  Joni Candra

  Batam Institute of Technology, Indonesia

  Mhd Adi Setiawan Aritonang

  Batam Institute of Technology, Indonesia

  Muhammad Nazwan

  Batam Institute of Technology, Indonesia

  Reliable real-time monitoring of infant incubators is essential in off-grid and resource-limited environments, where unstable power supply and limited infrastructure often compromise continuous operation and…

  View Article → 247-254

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  DOI: https://doi.org/10.47709/cnahpc.v8i2.8323
• Articles

  ANALYSING SENSITIVE DATA SECURITY USING TOKENIZATION-BASED DATA MASKING IN THE EXTRACT-TRANSFORM-LOAD (ETL) PROCESS

  Wayan Dana

  Universitas Multi Data Palembang

  Abdul Rahman

  Universitas Multi Data Palembang,South Sumatera, Indonesia

  Growth of internet users in Indonesia by 8.7% in 2025, reaching 212 million or 74.6% of the total population, has created significant opportunities for the digital economy but also raised concerns regarding…

  View Article → 255-263

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  DOI: https://doi.org/10.47709/cnahpc.v8i2.7949
• Articles

  ANALYSIS OF SEGMENTATION AND CLIENT TARGET MARKET BUSINESS DECISIONS IN CONSTRUCTION SERVICE COMPANY USING K-MEANS AND DECISION TREE ALGORITHMS : CASE STUDY AT CV JOWON SOLUSINDO

  Wondho Setia

  Universitas Multi Data Palembang,South Sumatera, Indonesia

  Mardiani

  Universitas Multi Data Palembang,South Sumatera, Indonesia

  High competition in the construction service industry requires companies to adopt efficient marketing strategies to reduce Customer Acquisition Costs (CAC). CV Jowon Solusindo faces challenges regarding…

  View Article → 264-272

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  DOI: https://doi.org/10.47709/cnahpc.v8i2.7942
• Articles

  THE DESIGN OF A HYBRID LSB STEGANOGRAPHY FRAMEWORK WITH ADAPTIVE PIXEL SELECTION AND CHAOS ENCRYPTION FOR SOCIAL MEDIA IMAGES

  M Ardi Wiratama Putra

  Universitas MDP, Palembang ,South Sumatera, Indonesia

  Abdul Rahman

  Universitas MDP, Palembang ,South Sumatera, Indonesia

  The exchange of sensitive data via social media platforms faces dual challenges: the risk of third-party interception and distortion due to image compression. Conventional steganography methods based on Least…

  View Article → 273-280

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  DOI: https://doi.org/10.47709/cnahpc.v8i2.7930
• Articles

  Continuous Rainfall Prediction Using Stacked LSTM and Sliding Window Time Series Modeling

  Akrom

  Universitas Pamulang

  Dimas Lendensi

  University of Pamulang

  Abdullah Muhajir

  Universitas Pamulang

  Riky Susanto

  Universitas Pamulang

  Rainfall prediction plays an important role in supporting decision-making in agriculture, water resource management, and disaster mitigation. However, the increasing variability of rainfall patterns makes…

  View Article → 281-292

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  DOI: https://doi.org/10.47709/cnahpc.v8i2.8277