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Technema: Journal of Intelligent Engineering and Computing
Published by CV SCRIPTA INTELEKTUAL MANDIRI
ISSN : -     EISSN : 31635997     DOI : 10.65310
Core Subject :
Technema: Journal of Intelligent Engineering and Computing is a peer-reviewed academic journal dedicated to publishing high-quality scholarly work in the fields of engineering, computer science, and emerging technologies. The journal provides an international platform for researchers, engineers, scientists, and technology practitioners to disseminate original research articles, theoretical contributions, experimental studies, system designs, and applied innovations that address contemporary challenges in intelligent systems and digital transformation. Technema welcomes manuscripts in areas such as artificial intelligence, machine learning, data science, computer engineering, software engineering, information systems, cybersecurity, robotics, automation, electrical engineering, the Internet of Things, cloud computing, embedded systems, smart infrastructure, and interdisciplinary technological innovation. All submissions undergo a rigorous double-blind peer-review process to ensure originality, technical rigor, scientific validity, and meaningful contributions to engineering and computing knowledge. Published quarterly in March, June, September, and December, Technema aims to foster global technological dialogue, promote cutting-edge research, and strengthen the role of intelligent engineering and computing solutions in advancing industry, infrastructure, and digital society at local, national, and international levels.
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Articles 62 Documents
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Analysis of Traffic Performance on the Sapta Marga Road Section South Curup Subdistrict, Rejang Lebong Regency Jaka Malis Irawan; M. Wisridani P
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 2 (2026): : June: Technema: Journal of Intelligent Engineering and Computing
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

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Abstract

Sapta Marga Road is an important urban collector road that connects residential areas, government offices, schools, and commercial centers in South Curup Subdistrict, Rejang Lebong Regency. Increasing community activities have resulted in higher traffic demand, particularly during peak hours, potentially affecting roadway operational performance. This study aimed to analyze traffic flow characteristics, roadway capacity, degree of saturation, and Level of Service (LOS), as well as to formulate traffic engineering recommendations for improving traffic operations. An empirical field survey was conducted over three consecutive days during morning, midday, and afternoon peak periods. Primary data included traffic volume, vehicle speed, roadway geometric characteristics, side-friction conditions, and surrounding land-use activities, while the analysis was performed using the 2023 Indonesian Road Capacity Guidelines (PKJI 2023). The results indicate that Sapta Marga Road currently operates at LOS C–D, suggesting that traffic flow remains stable despite increasing operational pressure during peak periods. Moderate to high side friction caused by on-street parking, roadside commercial activities, pedestrian movements, and vehicles entering and exiting adjacent properties was identified as the primary factor reducing operational efficiency and travel speed. The study recommends improving parking management, traffic signs, pavement markings, pedestrian facilities, and road safety infrastructure to enhance roadway performance and support sustainable urban traffic management.  
Evaluation of the Density of Class A Aggregate Foundation Layers Using the Sand Cone Method on the Taba Mulan–Simpang Nangka Road Improvement Project, Bengkulu Province Gesa Fajar Nugroho; M. Wisridani P
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 2 (2026): : June: Technema: Journal of Intelligent Engineering and Computing
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

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Abstract

The Class A aggregate base course is a critical structural component of flexible pavements because its compaction quality directly influences load distribution, structural stability, and pavement service life. This study evaluated the field compaction quality of the Class A aggregate base using the Sand Cone method on the Nakau–South Sumatra Provincial Border Road Preservation Project, specifically the Taba Mulan–Simpang Nangka section, Bengkulu Province. A descriptive quantitative approach was employed using field measurements obtained from ten representative testing locations. Field dry density values determined through the Sand Cone test were compared with the laboratory maximum dry density obtained from the Modified Proctor test (2.23 g/cm³) to calculate the Degree of Compaction (DoC), which was subsequently evaluated against the Bina Marga General Specifications. The measured compaction values ranged from 99.10% to 101.79%, with an average DoC of 100.49%. Eight testing locations (80%) satisfied the minimum requirement of 100% Modified Proctor, whereas two locations (20%) recorded values slightly below the specification. Variations in compaction performance were associated with moisture content, aggregate gradation, layer thickness, roller passes, weather conditions, and construction quality control. The findings confirm that the aggregate base generally complied with national technical standards while highlighting the importance of continuous field quality control to achieve uniform compaction throughout road preservation projects.
Redesigning the Facility Layout Using the Systematic Layout Planning (SLP) and Blocplan Methods to Minimize Material Transport Distances and Material Handling Costs at CV. Sidomulyo Perkasa Ariq Maulana; Andre Sugiyono
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 2 (2026): : June: Technema: Journal of Intelligent Engineering and Computing
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

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Abstract

CV. Sidomulyo Perkasa is a company engaged in cotton production that faces production efficiency problems due to an ineffective facility layout arrangement. The existing production floor layout does not follow the production process flow, resulting in inefficient material movement, excessive transportation distances, and increased material handling costs. Several departments with close operational relationships are located far apart, causing potential bottlenecks and longer production cycles. This study aims to redesign the production facility layout to minimize material transportation distance and material handling costs using the Systematic Layout Planning (SLP) and Blocplan methods. This empirical study involved direct observation, interviews, material flow analysis, distance calculation, and evaluation of alternative layouts based on transportation distance and Material Handling Cost (OMH). The results indicate that the proposed SLP layout provides the best performance compared with the existing layout and Blocplan alternatives. The material transportation distance was reduced from 139.5 meters to 71.5 meters, representing a 48.74% improvement, while OMH decreased from Rp74,999.92 to Rp39,455.31, resulting in cost savings of Rp35,544.61 or 47.39% efficiency. The proposed layout provides a more effective material flow arrangement and can be recommended as an alternative solution for improving production efficiency at CV. Sidomulyo Perkasa.
Design and Development of a Web-Based Information System for Monitoring Mandatory Employee Training Using Firebase (Case Study: Pelni Hospital) Wafi Hidayat Ahadi; Rizal Rizal
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 2 (2026): : June: Technema: Journal of Intelligent Engineering and Computing
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

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Abstract

Hospitals are required to ensure that medical and non-medical personnel maintain valid competencies through periodic mandatory training to support patient safety and accreditation compliance. PT RS PELNI still relied on manual documentation of employee training and certification records, making it difficult to monitor compliance status, identify certificates approaching expiration, and obtain centralized information for managerial decision-making. This study aimed to design and develop the Mandatory Training Monitoring Information System (SIMON), a web-based application for managing employee data, mandatory training categories, training histories, and real-time certification monitoring. The system was developed using a Research and Development (R&D) approach with the Waterfall software development model, while HTML5, CSS3, and vanilla JavaScript were employed for the front-end and Firebase Authentication together with Cloud Firestore served as the back-end infrastructure. Functional validation was conducted using Black Box Testing to evaluate the performance of all system modules. The results demonstrated that user authentication, employee management, training management, training history recording, and dashboard monitoring operated successfully according to predefined functional requirements. The implementation of Firebase enabled real-time data synchronization, allowing certificate status to be updated instantly without manual intervention. The proposed system improves administrative efficiency, supports timely monitoring of employee training compliance, and provides a scalable cloud-based solution for competency management in healthcare organizations.
The Impact of Enterprise Resource Planning (ERP) Software Implementation and System Quality on Service Quality at Oriskin Clinics (A Case Study of Three Oriskin Clinic Branches) Nafisah Oktavianti; Ni Made Widhi Sugianingsih; Wahyudi Utomo; Nuria Puspitasari; Nidia Sofa
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 2 (2026): : June: Technema: Journal of Intelligent Engineering and Computing
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

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Abstract

The digital transformation of healthcare service organizations requires integrated information systems capable of improving operational efficiency, data accuracy, and service quality. This study examined the effects of Enterprise Resource Planning (ERP) software implementation and system quality on service quality at three Oriskin Clinic branches located in Sentul, Karawang, and West Jakarta. An empirical quantitative design with an explanatory approach was employed. The study involved all 86 employees using the ERP system through a saturated sampling technique. Primary data were collected using a structured Likert-scale questionnaire and analyzed using validity and reliability tests, classical assumption testing, multiple linear regression, coefficient of determination, t-test, and F-test with IBM SPSS Statistics version 27. The results indicate that ERP software implementation has a positive and significant effect on service quality (β = 0.535, p = 0.001), while system quality also exerts a positive and significant effect (β = 0.409, p = 0.001). Simultaneously, both variables significantly influence service quality (F = 1841.430, p = 0.001) and explain 97.8% of its variance (R² = 0.978). These findings demonstrate that effective ERP implementation supported by high system quality substantially enhances operational performance and healthcare service quality in digitally integrated clinical environments.
Implementation of SHAP in Ensemble Learning for Interpreting Audit Risk Classification: A Preliminary Study Using a Public Audit Dataset Yanuangga Galahartlambang; Titik Khotiah; Ilham Basri K; Masrur Anwar; Mohamad Akhsan Rofiqi
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 2 (2026): : June: Technema: Journal of Intelligent Engineering and Computing
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

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Abstract

Ensemble learning models can achieve strong predictive performance on structured audit-risk data, yet their complex decision logic can limit transparency and technical accountability. This study develops a proof-of-concept Explainable Artificial Intelligence pipeline using SHapley Additive exPlanations (SHAP) to interpret Random Forest and XGBoost classifiers on the public UCI Audit Data. The experiment processed 776 observations and 27 columns, with one missing value in Money_Value imputed using the median of 0.09 and the non-numeric LOCATION_ID removed, resulting in 25 predictors and one binary target. A stratified 80:20 split with random_state = 42 produced 620 training observations and 156 test observations, with Random Forest achieving 1.0000 across accuracy, precision, recall, F1-score, and ROC-AUC, while XGBoost achieved 0.9936 accuracy, 1.0000 precision, 0.9836 recall, 0.9917 F1-score, and 1.0000 ROC-AUC. SHAP analysis identified Audit_Risk as the dominant global predictor, while its contribution to a representative at-risk prediction reached +5.82, shifting the raw model margin from −0.506 to 5.107 and yielding an estimated probability of approximately 0.994. However, because the dataset's target construction is closely associated with the Audit Risk Score, retaining Audit_Risk as a predictor introduces potential structural target leakage. The findings position the near-perfect performance as evidence of successful pipeline implementation and model interpretability rather than external generalization, supporting future leakage-controlled ablation, cross-validation, and external-data validation.
Analysis of Customer Satisfaction and Priorities for Improving the Marketing Mix Using the Importance-Performance Analysis (IPA) Method and Potential Gain in Customer Value at Clauza Carwash Gita Aubreza Safitri; Andre Sugiyono
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 2 (2026): : June: Technema: Journal of Intelligent Engineering and Computing
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

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Abstract

Competition in the vehicle-washing service industry requires businesses to continuously improve service quality to meet customer expectations. Clauza Carwash faces several customer concerns related to its marketing-mix attributes, which may affect customer retention and business competitiveness. This study aims to analyze the importance and performance of marketing-mix attributes and determine improvement priorities using the Importance-Performance Analysis (IPA) and Potential Gain in Customer Value (PGCV) methods. A quantitative approach was employed involving 100 respondents who completed a questionnaire covering 32 attributes based on the 7P marketing mix. Customer perceptions of service performance were assessed by comparing the importance and actual performance of each attribute. The IPA results identified 11 attributes as the main improvement priorities, particularly those related to product quality, price competitiveness, location visibility, employee performance, and service processes. The PGCV analysis further indicated that employee skills represented the highest improvement priority, with a PGCV value of 7.30, followed by price competitiveness, location visibility, material quality, and vehicle-shine performance. These findings indicate that the integration of IPA and PGCV can provide an objective basis for prioritizing service improvements according to customer perceptions. The results can support Clauza Carwash in developing targeted strategies to improve service quality, customer satisfaction, and competitive performance
Implementation of the Internet of Things for Real-Time Monitoring and Control of Environmental Conditions Indra Sari Kusuma Wardhana; Almurozy Mursidan
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 2 (2026): : June: Technema: Journal of Intelligent Engineering and Computing
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

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Abstract

The development of the Internet of Things (IoT) enables environmental conditions to be monitored and controlled in real time through the integration of sensors, microcontrollers, wireless communication, monitoring interfaces, and actuators. This study aims to implement an IoT-based system for real-time environmental monitoring and automatic control based on measured environmental conditions, particularly temperature and humidity. The developed system integrates DHT11, MQ-2, and MQ-6 sensors with Arduino Uno R3, NodeMCU ESP8266, wireless communication, a monitoring dashboard, and relay-controlled actuators. Sensor measurements are processed and transmitted to the monitoring system, while predefined temperature thresholds are used to determine actuator activation. Experimental evaluation was conducted through sensor accuracy, communication reliability, monitoring, and automatic control tests. The results showed average temperature and humidity measurement errors of 0.78% and 1.46%, respectively, indicating relatively small deviations from reference measurements under the tested conditions. Communication testing achieved a 100% success rate for 100 transmitted packets with no packet loss, while the average communication delay was 412 ms. Automatic control testing achieved 100% success across 10 trials using a 30 °C temperature threshold. These findings demonstrate that the integrated IoT architecture can support responsive environmental monitoring and automated control within the tested operating conditions.
Analysis of Potential Hazards in the Mining Area of PT Cakrawala Prima Manunggal Using the Hira Method Muhammad Rafi Kaldi; Rodiyah Nursani; Suhardiman Gumanti
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 2 (2026): : June: Technema: Journal of Intelligent Engineering and Computing
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Mining activities involve various potential hazards that may cause occupational accidents, requiring systematic efforts to identify, assess, and control workplace risks. This study aims to identify potential hazards, analyze risk levels, and formulate risk control recommendations in the mining production area of PT Cakrawala Prima Manunggal. The study employed the Hazard Identification and Risk Assessment (HIRA) method through field observations, interviews, documentation, and literature review. Hazard identification was conducted across six operational areas, namely the workshop, parking area, front loading, main road hauling, disposal dumping, and stock ROM. Risk assessment was performed by evaluating likelihood and severity using the AS/NZS 4360 risk matrix. The results identified 17 potential hazards, consisting of 10 high-risk hazards (59%), 6 medium-risk hazards (35%), and 1 low-risk hazard (6%). High-risk hazards were primarily associated with road conditions, equipment maneuvering areas, safety berms, dust exposure, inadequate illumination, and disposal-area conditions. Recommended controls include the proper use of personal protective equipment, installation of safety signs and barriers, improvement of road and workplace conditions, dust suppression through water spraying, workplace organization, strengthened supervision, and continuous safety education and implementation of occupational safety and health procedures. These findings provide a systematic basis for prioritizing preventive interventions and strengthening occupational risk management in mining operations.
Occupational Safety Analysis of Coal Hauling Activities Using the Job Safety Analysis (JSA) Method at PT Lematang Coal Lestari Wanda Elisa; Aris Susilo; Rodiyah Nursani
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 2 (2026): : June: Technema: Journal of Intelligent Engineering and Computing
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

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Abstract

Coal hauling is a critical stage of mining operations with potential accident risks arising from heavy-equipment interaction, haul-road conditions, human factors, and the work environment. This study aims to analyze occupational safety in coal hauling activities using the Job Safety Analysis (JSA) method at PT Lematang Coal Lestari (LCL). An empirical descriptive-qualitative research design was employed, with data collected through field observations, interviews with operators, supervisors, and SHE personnel, and company documentation. The analysis involved mapping work stages, identifying potential hazards, assessing risk levels based on likelihood and severity, evaluating existing controls, and formulating additional control measures. The findings indicate that hazards were identified in the pre-start inspection, loading, hauling, dumping, and return stages, including vehicle collisions, vehicle rollover, slippery roads, dust, blind spots, excessive speed, and non-compliance with safety procedures. Existing controls include PPE use, daily inspections, toolbox meetings, haul-road maintenance, speed regulation, radio communication, safety signage, and field supervision. The findings demonstrate that JSA provides a structured framework for linking task-specific hazards with operational control measures. Consistent implementation of these controls and periodic JSA updates are required to maintain operational safety and strengthen risk management in coal hauling activities. Continuous monitoring of road conditions and worker compliance is also necessary to address changing operational risks.

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