Vol. 8 No. 4 (2026): Research Paper October 2026

Articles

• Articles

  Academic Risk Analysis of University Students Using Random Forest and SHAP

  Nouval Khairi

  Universitas Islam Negeri Sumatera Utara Medan

  Reza Ade Putra

  Universitas Islam Negeri Sumatera Utara Medan

   Academic risk classification can help universities identify students who require closer academic monitoring, but imbalanced classes and limited model transparency can reduce practical usefulness. Objective:…

  View Article → 540-550

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  DOI: https://doi.org/10.47709/cnahpc.v8i4.9625
• Articles

  Spatiotemporal Prediction of Medical Device Sales Using Hybrid LSTM GNN in South Sumatra

  Khoirusy Syafaat

  Universitas Indo Global Mandiri

  Herri Setiawan

  Universitas Indo Global Mandiri

  Forecasting medical device purchases at the regional level supports equitable allocation, procurement planning, and distribution scheduling across administrative regions. In developing regions where…

  View Article → 503-526

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  DOI: https://doi.org/10.47709/cnahpc.v8i4.9538
• Articles

  Decoupling Expiration Risk Classification and Discount Rules in a Web Inventory Monitoring Prototype

  Syahprian

  Politeknik Ganesha Medan

  Recorded expiration status and future inventory loss are different decision targets. This study audits a date-based monitoring architecture, a historical K-nearest neighbor (KNN) experiment, and independent…

  View Article → 551-563

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  DOI: https://doi.org/10.47709/cnahpc.v8i4.9820
• Articles

  ANDROID-BASED INFORMATION SYSTEM FOR MONITORING NOTARIAL DEED DOCUMENTATION

  Pandu Ula Dian Pradana

  State Islamic University of North Sumatra, Indonesia

  Yahfizham

  State Islamic University of North Sumatra, Indonesia

  Fajrillah

  State Islamic University of North Sumatra, Indonesia

  Manual monitoring of notarial deed documentation in notary offices leads to slow file retrieval, a risk of data loss, and human error. This study aims to design an Android-based information system prototype…

  View Article → 564-578

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  DOI: https://doi.org/10.47709/cnahpc.v8i4.9723
• Articles

  Forecast-Driven Doctor Scheduling in Primary Healthcare: Ensemble Learning, a Reinforcement Learning Agent, and an Exact Baseline

  M. Agus Munandar

  Universitas Indo Global Mandiri

  Terttiaavini

  Universitas Indo Global Mandiri, Indonesia

  Doctor scheduling in primary healthcare facilities is challenging because patient visit volume fluctuates due to seasonality, holidays, weather, and unplanned staff absences, while rule-based scheduling used…

  View Article → 527-539

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  DOI: https://doi.org/10.47709/cnahpc.v8i4.9575
• Articles

  A Reproducible Ranking Pipeline for Gamified Peer-Assessment in Project-Based Learning Supporting SDG 4

  Sabo Hermawan

  Universitas Negeri Jakarta, Indonesia

  Fauzan Fadlullah

  Universitas Negeri Jakarta, Indonesia

  Inkreswari Retno Hardini

  Universitas Negeri Jakarta, Indonesia

  Alifah Nur Rahmawati

  Universitas Negeri Jakarta, Indonesia

  Cornellius Seno Adriano

  Universitas Negeri Jakarta, Indonesia

  Background: Gamified live-scoring effectively stimulates engagement in project-based learning. However, low-friction interfaces often introduce vulnerabilities, such as structurally invalid ranking selections…

  View Article → 493-502

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  DOI: https://doi.org/10.47709/cnahpc.v8i4.9512
• Articles

  Development and Evaluation of a No-Code Key Performance Indicator (KPI) Dashboard Using Base44 for Divisional Performance Monitoring (Case Study: Macwish Indonesia)

  Amalia

  Information Systems, Sekolah Tinggi Teknologi Terpadu Nurul Fikri, Indonesia

  Muhammad Akhyar Abdan Syakuron

  Digital Business, Sekolah Tinggi Teknologi Terpadu Nurul Fikri, Indonesia

  Amalia Rahmah

  Digital Business, Sekolah Tinggi Teknologi Terpadu Nurul Fikri, Indonesia

  Divisional performance monitoring that still relies on spreadsheets prevents key performance indicator (KPI) achievements from being presented in a centralized manner, requires manual data processing, and…

  View Article → 579-597

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  DOI: https://doi.org/10.47709/cnahpc.v8i4.9803