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INDONESIA
Jurnal Mandiri IT
Published by Institute of Computer Science
ISSN : 23018984     EISSN : 28091884     DOI : https://doi.org/10.35335/mandiri
Core Subject : Science, Education,
Computer Science & IT Library & Information Science Mathematics
The Jurnal Mandiri IT is intended as a publication media to publish articles reporting the results of Computer Science and related research.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 217 Documents
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Swarm driven automatic feature selection and classification framework for parkinson voice data Prabukusumo, Muhammad Azhar; Saragih, Hondor; Manurung, Jonson
Jurnal Mandiri IT Vol. 14 No. 2 (2025): Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i2.470

Abstract

Parkinson’s disease (PD) severely impairs motor and vocal functions, and early detection is crucial for effective intervention. Conventional diagnostic procedures remain subjective and time-consuming, highlighting the need for automated, data-driven approaches. This study aims to develop an intelligent and fully automated framework integrating Particle Swarm Optimization (PSO)–based feature selection with ensemble machine learning classifiers for PD detection using voice data. The proposed Swarm-Driven Automatic Feature Selection and Classification Framework (SAFSCF) automates data preprocessing, adaptive feature optimization, and classification within a unified pipeline. The framework was evaluated on the Parkinson’s Speech Dataset comprising 743 numerical features. Baseline models achieved accuracies of 0.7738 (Logistic Regression), 0.8651 (Random Forest), and 0.8690 (Gradient Boosting). After PSO optimization, the feature set was reduced by nearly 50% to 382 attributes, achieving a test accuracy of 0.8421 slightly higher than the full-feature model (0.8355). Convergence plots confirmed that PSO effectively minimized the fitness function while maintaining high classification stability. Feature importance analysis revealed that the most discriminative attributes were derived from log energy, Teager Kaiser energy operators (TKEO), MFCCs, Shimmer, and entropy-based features biomarkers known to reflect Parkinsonian speech degradation. These findings demonstrate that the proposed framework enhances computational efficiency and interpretability, offering a reproducible and scalable solution for non-invasive, voice-based PD diagnosis.
Sentiment analysis of the 2024 election using the naïve bayes method using data x Zidan, Ahmad Halim Faizal; Handayani, Irma; Anggara, Afwan
Jurnal Mandiri IT Vol. 14 No. 2 (2025): Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i2.471

Abstract

Text mining is a process for utilizing the vast amounts of data generated in today’s digital era. The rapid growth of social media usage has produced extensive textual data, one of which can be analyzed through sentiment analysis. This study uses the social media platform X to analyze public opinions regarding the 2024 Indonesian General Election. The analysis was conducted using 126 user comments as the dataset and 103 reviews as the testing data, which were then processed using the Naive Bayes method. Text mining with the Naive Bayes algorithm can be applied to examine public opinions and sentiments toward the 2024 election on X. The results of the analysis classify sentiments into positive, negative, and neutral categories.
Mobile web-based student portal with qr code for school digitalization Alyora, Adham Ghilbran; Aji, Adam Sekti
Jurnal Mandiri IT Vol. 14 No. 3 (2026): Jan: Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i3.475

Abstract

The mobile web-based Student Portal application utilizing QR Barcode technology was developed as a solution to limited access and low efficiency in managing student data within schools. Without the support of this system, processes such as attendance, academic information delivery, and communication between students and educators tend to be slow and prone to recording errors, ultimately affecting the effectiveness of learning and school administration. To address these challenges, a user needs analysis was conducted, an adaptive interface design was created to support various devices (responsive), and QR code scanning was integrated to facilitate attendance and digital access to information. The application development process followed an iterative method, actively involving users during testing stages to obtain relevant feedback. Preliminary results indicate that the implementation of this application can enhance student data management efficiency, accelerate communication between students and school staff, and support the creation of a more modern, interactive, and integrated learning environment.
Classification of diseases in chili plants using the convolutional neural network method with MobileNetV2 architecture Fatmawati, Ika; Podungge, Emil Salim; Rahman, Abd
Jurnal Mandiri IT Vol. 14 No. 3 (2026): Jan: Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i3.476

Abstract

Chili peppers are a strategic horticultural commodity in Indonesia, but their productivity is often hampered by plant diseases that are difficult to identify accurately and in a timely manner using conventional methods. This study aims to develop an accurate and efficient system for classifying chili pepper plant diseases using Convolutional Neural Networks (CNN). The MobileNetV2 architecture was used due to its computational efficiency, making it suitable for implementation on devices with limited resources. A dataset containing 4,000 images of chili leaves was used, categorized into four classes: healthy leaves, leaves infected with fruit flies, curled leaves, and anthracnose. The model was trained and verified, achieving an overall accuracy of 89.62%. Evaluation results showed strong performance with precision of 89.93%, recall of 89.62%, and an F1 score of 89.54%. The trained model was successfully integrated into a web-based application to facilitate use by farmers and agricultural officers. The findings conclude that the proposed MobileNetV2-based system provides an effective and practical solution for early detection of chili diseases, supporting precision agriculture and regional food security initiatives in Morowali Regency.
Design and implementation of a web-based administrative information system for PUSHANSIBER Febriantama, Rizal Gian; Saputra, Bagus Hendra; Bimorogo, Sembada Denrineksa; Lediwara, Nadiza
Jurnal Mandiri IT Vol. 14 No. 3 (2026): Jan: Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i3.477

Abstract

The design and implementation of a web-based administrative information system for Subbagian Tata Usaha at Pusat Pertahanan Siber (Pushansiber), Ministry of Defense, Indonesia, addressed critical inefficiencies in manual Excel and paper-based processes causing data redundancy, workflow delays, and limited real-time access. Using Rapid Application Development (RAD) methodology, this research developed an integrated system with innovative features for high-security defense environments: five-tier Role-Based Access Control (RBAC), Server-Sent Events (SSE) for real-time notifications, automated leave quota validation, and competency mapping algorithms with gap analysis. This work contributes a validated framework for administrative digitalization in high-security defense environments by integrating five administrative workflows into a unified platform with RBAC, real-time SSE notifications, and comprehensive audit logging addressing the literature gap where existing studies overlooked security-sensitive requirements in government contexts. Black Box testing with 20 scenarios validated functionalities, demonstrating quantifiable improvements: leave approval time reduced 85% (3-5 days to 4 hours), personnel data retrieval improved from 15-20 minutes to 30 seconds, missed tasks decreased from 20% to below 5%, announcement delivery achieved 97%, and data entry errors reduced to below 2%. This research establishes a replicable model for defense administrative transformation, contributing empirical evidence to public sector digital transformation literature.
Implementation of gaming In the cloud through construct engine applications on heroku infrastructure Phatoni, Khaerul Imam; Adha, Rochedi Idul; Manurung, Jonson; Prabukusumo, M Azhar; Piliang, Rizqullah Aryaputra; Nasyira, Muhammad Sulthan
Jurnal Mandiri IT Vol. 14 No. 3 (2026): Jan: Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i3.478

Abstract

This study presents a performance analysis of real-time multiplayer gaming through web-based game engines deployed on cloud Platform-as-a-Service infrastructure, specifically examining Construct 3 integration with Heroku's managed deployment platform. A multiplayer Pong game was developed to evaluate the viability of browser-based gaming architectures for real-time applications, utilizing WebSocket communication protocols, room-based session management, and hybrid client-server prediction models. The implementation demonstrates five architectural components: secure WebSocket connection establishment, 60 frames-per-second server-side game state synchronization, minimal cloud deployment configuration, scalable room management supporting multiple concurrent sessions, and responsive input handling with client-side prediction. Performance evaluation with ten concurrent game instances revealed exceptional resource efficiency, consuming maximum 34 megabytes memory with dyno load averages of 0.01, validating JavaScript-based server implementations for real-time gaming applications. The results indicate that web-based game engines can achieve performance characteristics traditionally associated with dedicated server architectures while maintaining significant advantages in development velocity, deployment simplicity, and operational efficiency. The study contributes evidence supporting the democratization of multiplayer game development through accessible web technologies, demonstrating that traditional barriers between browser-based and native gaming applications are diminishing as platform capabilities mature. These findings establish benchmarks for web-based multiplayer gaming performance and provide foundation for future research in cloud-based game development paradigms.
Development of a web-based reporting information system at PUSDATIN Sarwoko, Nisrina Labiba; Denrineksa Bimorogo, Sembada
Jurnal Mandiri IT Vol. 14 No. 3 (2026): Jan: Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i3.479

Abstract

Reporting plays a vital role in documenting work results, evaluating performance, and supporting data-driven decision-making through the presentation of clear, systematic, and well-organised information. However, the reporting process within the Pusat Data dan Informasi (Pusdatin) of the Kementerian Pertahanan, particularly in the Division of Pengamanan Sistem Informasi dan Persandian (Pamsisinfosan), was still conducted conventionally using paper-based forms, resulting in scattered archives, inefficient data storage, and delays in accessing activity records. This study introduces a web-based digital reporting platform that transforms conventional activity reporting into an integrated digital system equipped with activity recording, employee data management, scheduling features, and centralized data storage. The research adopted the Rapid Application Development (RAD) approach, consisting of requirement analysis, system design, construction, and implementation stages. The system was developed using the Laravel framework with database migration, authentication management, and a responsive interface built using Tailwind CSS. The results show that the proposed system simplifies activity reporting, improves data organization, and facilitates faster access to reports and schedules for operational personnel. Practically, the system supports more efficient administrative management by replacing manual forms with structured digital records that are easier to manage and retrieve. In conclusion, the implementation of a web-based reporting system using the RAD approach enhances administrative efficiency and supports daily operational activities within the Pamsisinfosan Division of Pusdatin, Kementerian Pertahanan.
Design and development of the spacelog web application for inventory management and asset tracking using QR codes at the Cyber Defense Center of the Ministry of Defense Sitanggang, Johan Adrian; Saputra, Bagus Hendra; Hidayati, Ajeng; Saragih, Hondor
Jurnal Mandiri IT Vol. 14 No. 3 (2026): Jan: Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i3.481

Abstract

SpaceLog is a web-based inventory information system developed for the Cyber Defense Center of the Indonesian Ministry of Defense to address the limitations of spreadsheet-based management, which is static, non-real-time, and lacks accountability. This study proposes a novel approach by implementing a unit-centric architecture combined with Role-Based Access Control (RBAC) specifically tailored for the high-security requirements of the defense sector. The system development utilizes the Rapid Application Development (RAD) method, built upon Laravel, MySQL, and Bootstrap frameworks. Key features include unique QR Code tracking for individual assets, hierarchical location mapping, and a comprehensive audit trail. Testing results using the Black-Box method demonstrate that all functional scenarios, including item tracking and tiered access rights (Superadmin, Section Head, Staff), operate with 100% validity. Furthermore, the implementation significantly improves operational success by transforming asset management from a manual, error-prone process into a real-time, fully auditable digital ecosystem, thereby meeting the strict accountability standards of the Ministry of Defense.
Energy consumption prediction and optimization for Ki Hajar Dewantara student dormitory Using Extreme Gradient Boosting (XGBoost) algorithm Sinaga, Jeremia; Manurung, Jonson; Prabukusumo, M. Azhar
Jurnal Mandiri IT Vol. 14 No. 3 (2026): Jan: Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i3.482

Abstract

Energy consumption optimization in student dormitories requires accurate prediction and strategic intervention strategies. This study presents a comprehensive prediction and optimization system for energy usage at Ki Hajar Dewantara Student Dormitory, Indonesia Defense University, utilizing Extreme Gradient Boosting (XGBoost) algorithm integrated with temporal operational scheduling features a novel approach for institutional dormitory energy forecasting. The system analyzes over 3,900 electrical devices across three dormitory buildings, incorporating temporal features and operational schedules to predict hourly energy consumption. The XGBoost model demonstrates excellent prediction performance with R² = 0.9482 and MAPE = 10.24%, significantly exceeding established benchmarks for building energy forecasting. Feature importance analysis reveals working hours as the dominant factor (>85%) influencing consumption patterns, followed by occupancy rate and temperature. The analysis identifies air conditioning systems as the primary energy consumer, accounting for over 80% of total consumption. The optimization framework identifies potential energy savings of approximately 28% through strategic device replacement and schedule modifications, translating to annual cost savings of over Rp 600 million with economically viable return on investment periods. This machine learning-based approach demonstrates practical applicability for student dormitory energy management and provides a replicable methodology adaptable to diverse residential institutional buildings in tropical climates.
Web-based and mobile-based new student admission and registration system for high school students Pratama, Hilfy Cipta; Aji, Adam Sekti
Jurnal Mandiri IT Vol. 14 No. 3 (2026): Jan: Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i3.484

Abstract

The design of the Student Admission Information System (PPDB) is an effort by business organizations, including SMA 1 Parigi, to remain competitive with other schools. Information architecture serves as an organizational resource that ensures information systems and technology operate in alignment with organizational goals. This condition encourages SMA 1 Parigi to develop a business information system tailored to the institution’s needs. In this study, a needs analysis was conducted through a series of system modeling diagrams to plan the development of the information system using the Flutter Framework. To achieve the school’s goals as stated in its vision and mission, it is necessary to design and establish an information architecture model that integrates an information system in accordance with the school’s business requirements, particularly for SMA 1 Parigi. The Flutter Framework, as an information system service management framework, assists the organization in managing information systems from various perspectives by identifying and mapping business processes that underpin infrastructure and services.

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