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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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Design of A Web-Based Marketing Data Information System to Improve Product Marketing Efficiency at CV San Amerta Romoro Anur Rahmah Tiawulandari; Ahmad Holidin; Haryanto Haryanto; Andri Cahyo Purnomo; Mohammad Fauzan Nawawi
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

Effective marketing activities require centralized, structured, accurate, and accessible information. CV San Amerta Romora previously managed government institution data, vendor information, product data, Inaproc links, company profiles, and brochures through separate files and storage media, creating difficulties in data retrieval, updating, and information consistency. This study aimed to design a web-based marketing data information system to improve the efficiency of internal marketing information management. Data were collected through observation, interviews, and literature review, while the existing system was analyzed using the PIECES framework. System requirements were modeled using Unified Modeling Language, including Use Case, Activity, Sequence, and Class Diagrams. The system was implemented using Laravel, Filament, and Fortify, with role-based access for Admin and User/Sales. The proposed system integrates marketing data, document management, requests, and notifications within a centralized portal. Black Box Testing was conducted on authentication, data access, data management, request processing, notifications, and access control functions. The testing involved 19 functional scenarios, and all scenarios produced results consistent with the expected outputs. The system provides a structured platform for improving marketing data accessibility, retrieval efficiency, data control, and internal information management at CV San Amerta Romora.  
Analysis of Maintenance for The Model 317 Tray Unloader Using The Preventive Maintenance Method at PT. Madukoro Engineering Muhammad Rizal Jurdan; Andre Sugiyono; Muslih Aditiya; Fuad khoironi; Moh Ferdi Hasan
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

This study analyzes the implementation of preventive maintenance on the Model 317 Tray Unloader at PT. Madukoro Engineering, Semarang. The machine performs an essential material transfer function by moving cigarettes from trays toward the packaging process, making equipment reliability important for production continuity. A qualitative descriptive method was applied through direct observation, interviews with the Head of the Primary Division and electrical technicians, and examination of internal maintenance documents. The analysis focused on maintenance schedules, machine components, recurring failures, maintenance practices, and operational problems. The results indicate that preventive maintenance is implemented through daily, weekly, monthly, and annual activities involving inspection, cleaning, lubrication, electrical checking, and component replacement. Several problems were identified, including sensor malfunction caused by cigarette dust, gripper obstruction due to inadequate lubrication, excessive conveyor motor temperature, and tray frame deformation caused by improper loading. Maintenance effectiveness is also constrained by inconsistent documentation, delayed spare-part availability, and limited technical resources. Improvements are recommended through digital maintenance records, routine technical training, critical spare-part control, sensor monitoring, and stronger operational supervision to reduce unexpected downtime and improve machine reliability.
Mechanical Properties Analysis of Concrete Using Grouting Cement and Wood Charcoal as Cement Substitutes Ilham Akbar Arrafi; Amin Nur Rokhim; Antonius Antonius; Muhamad Rusli Ahyar
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

Concrete is one of the most widely used construction materials in infrastructure development, yet the extensive use of Portland cement contributes substantially to carbon dioxide emissions from cement production. This study investigates grouting cement and wood charcoal as partial cement substitutes in K-300 concrete to reduce conventional cement consumption while utilizing wood-derived waste. An experimental study was conducted at the Material Mechanics Laboratory, Faculty of Engineering, Universitas Islam Sultan Agung, using substitution levels of 0%, 5% (2.5% grouting cement and 2.5% wood charcoal), and 10% (7.5% grouting cement and 2.5% wood charcoal). Cylindrical specimens measuring 150 × 300 mm were used for compressive and splitting tensile tests, while 600 × 150 × 150 mm beams were used for flexural testing at 7 and 28 days. The results showed that the 5% substitution provided the best mechanical performance at 28 days, achieving an average compressive strength of 19.398 MPa, an 18.26% increase over normal concrete, splitting tensile strength of 2.900 MPa, a 45.73% increase, and flexural strength of 3.029 MPa, a 3.73% increase. The 10% substitution reduced mechanical performance, indicating that excessive carbonaceous material may hinder effective cementitious matrix development. The findings identify 5% substitution as the most favorable composition under the investigated conditions. The results provide an empirical basis for optimizing alternative cementitious materials while maintaining acceptable fresh-concrete workability and mechanical performance.  
Redesign of Work Chairs and Tables to Reduce Musculoskeletal Disorders and Motion Waste at CV Barokah Gemilang Sejahtera Indah Wulandari; Anita Oktaviana Trisna Devi; Agung Widiyanto Fajar Sutrisno; Bekti Nugrahadi
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 Barokah Gemilang Sejahtera (BGS) is a garment industry producing ready-to-wear clothing. Observations and Nordic Body Map (NBM) questionnaires involving 14 sewing operators identified musculoskeletal complaints in the upper neck (82%), lower neck (84%), and back (91%). Operators also experienced motion waste caused by searching for sewing tools that were not systematically organized. This study aimed to redesign ergonomic work facilities to reduce Musculoskeletal Disorders (MSDs) risk and motion waste. The research employed NBM to identify MSD complaints, Rapid Upper Limb Assessment (RULA) to evaluate working posture, anthropometry to determine workstation dimensions, and the Right-Hand–Left-Hand Process Chart (PTKTK) to analyze inefficient movements. Data were collected through observations, interviews, anthropometric measurements, questionnaires, and work-activity documentation. RULA assessment produced a final score of 7, indicating a very high postural risk requiring immediate improvement. PTKTK analysis showed motion waste associated with sewing-tool searching, with work efficiency of 70.21% before improvement. The proposed redesign consisted of an adjustable chair with a height range of 68.9–80.3 cm and an adjustable table with a height range of 72.6–90.2 cm, complemented by a partitioned drawer. The proposed design projected a cycle-time reduction from 47 to 29 seconds and efficiency improvement to 82.75%, supporting improved posture, reduced MSD risk, and minimized motion waste.
Development of A Chair and Table to Support the Telbowmes Elbow Therapy Device Ayu Putri Asih; Ainindia Latifa Zahra; Ramdhan Setyahadi Pratama; Satryo Adi Nugroho; Akhmad Syakhroni
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

Stroke is a non-communicable disease that frequently causes motor impairments, particularly in the arm and elbow, requiring continuous rehabilitation to restore functional movement. Telbowmes is an elbow therapy device designed to support controlled joint-movement exercises; however, its use requires an ergonomic supporting chair and table that accommodate users’ anthropometric characteristics. This study aimed to design and develop an ergonomic, safe, and economically feasible supporting chair and table for the Telbowmes elbow therapy device. The research involved anthropometric data collection followed by adequacy, normality, and uniformity tests, percentile determination, product design, manufacturing analysis, and production-cost evaluation. The results produced an adjustable table-surface height of 60.33–86.07 cm, a table length of 45.6 cm, a table width of 80.1 cm, a chair backrest height of 87.6 cm, and a seat dimension of 66.5 cm. The design integrates anthropometric considerations with structural stability, adjustable mechanisms, safety features, manufacturing requirements, and economic analysis. The manufacturing analysis also established a structured relationship among materials, components, production operations, and assembly activities. The estimated production cost was IDR 3,300,000 per unit, with an estimated selling price of IDR 3,960,000. The developed design provides an integrated ergonomic support system intended to improve user comfort, safety, and compatibility during elbow rehabilitation.
Analysis of Asphalt Concrete Wearing Course (AC-WC) with the Addition of Bodri River Sand and Styrene-Butadiene Rubber (SBR) for Road Pavements Muhammad Erland Farrel; Dimas Syahrul Zuda; Juny Andry Sulistyo; Lisa Fitriyana
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 3 (2026): Technema: Journal of Intelligent Engineering and Computing
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

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Abstract

Road pavement in Indonesia commonly uses Asphalt Concrete Wearing Course (AC-WC) as the surface layer, which plays an important role in providing traffic comfort and pavement performance. This study aims to evaluate the characteristics of AC-WC mixtures modified with Styrene-Butadiene Rubber (SBR) and Bodri River sand and to determine the optimum mixture based on Marshall parameters. The use of these locally available materials is expected to contribute to the development of alternative asphalt mixture compositions while supporting the utilization of local resources. An experimental method was employed through laboratory specimen preparation and Marshall testing. The specimens were prepared using variations of SBR content of 0%, 2%, 4%, and 6% and Bodri River sand content of 0%, 1%, 3%, and 5%. Marshall testing was conducted to determine VMA, VIM, VFB, stability, flow, and Marshall Quotient values. Based on the test results, the best Job Mix Design was obtained from the mixture containing 3% Bodri River sand and 4% SBR (P3S4). This mixture produced VMA of 19.33%, VIM of 3.53%, VFB of 81.73%, stability of 1,119.14 kg, flow of 3.00 mm, and Marshall Quotient of 364.32 kg/mm. The results indicate that the P3S4 mixture satisfied the specified Marshall requirements and provided favorable volumetric and mechanical characteristics. Therefore, the combination of 3% Bodri River sand and 4% SBR can be considered a suitable mixture variation for AC-WC pavement applications based on the results of this study.
DeepTrafic: Implementing Deep Learning for Emergency Vehicle Detection and Traffic Light Timing Optimization Iven Aurananta Damaivila; Ayu Putri Asih; Muhammad Rizal Jurdan
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 3 (2026): Technema: Journal of Intelligent Engineering and Computing
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

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Abstract

Traffic congestion at urban intersections can significantly reduce transportation efficiency and obstruct emergency vehicles that require rapid access to critical locations. This study proposes DeepTraffic, an integrated deep-learning-based traffic-control system designed to detect vehicles, classify traffic density, identify emergency vehicles, and optimize traffic-light timing in real time. An empirical experimental system-development approach was employed by integrating Camera/CCTV, an emergency sensor, YOLO-based vehicle detection, vehicle classification and counting, traffic-density estimation, an emergency-priority decision algorithm, and a Raspberry Pi controller connected to traffic-light hardware. Traffic conditions were classified into five categories based on detected vehicle density, namely empty, normal, busy, congested, and highly congested, with adaptive green-light durations assigned according to the corresponding traffic state. Emergency vehicles, including ambulances, fire engines, and police vehicles, were assigned priority conditions that activate the corresponding green phase to facilitate rapid intersection passage. System evaluation was designed to assess vehicle-detection performance using precision, recall, F1-score, mAP@0.5, and frames per second, while traffic-density classification and signal-control performance were evaluated through classification accuracy and signal-duration execution. Emergency-priority performance was assessed through activation rate, response time, waiting-time reduction, and queue-length reduction. The proposed framework integrates real-time computer vision with adaptive signal control and emergency prioritization, providing a reproducible foundation for intelligent traffic management and future smart-city transportation applications.  
The Application of Supply Chain Management Concepts to Improve Business Process Efficiency and Data Quality in Financial Reports M Luthfi Wicaksono; Samorano Samorano; Salman Farid Sukmawijaya; Bintang Hilmi H
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 3 (2026): Technema: Journal of Intelligent Engineering and Computing
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

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Abstract

Konveksi Puji 25 is a garment manufacturing business facing challenges in supply chain management and financial recording, including suboptimal supplier selection, unstructured raw-material inventory management, and manual financial reporting. These conditions contribute to production delays, operational data inaccuracies, and inefficient business processes. This study aims to design an integrated system based on Supply Chain Management (SCM) concepts to improve business-process efficiency and data quality in financial reports at Konveksi Puji 25. An empirical qualitative case-study approach was employed through direct observation, interviews with the business owner and employees, and documentation of procurement, inventory, production, sales, purchasing, and financial-recording activities. Analytical Hierarchy Process (AHP) was applied to evaluate suppliers based on quality, delivery, price, and warranty and customer service criteria, while System Design and Engineering was used to develop the system architecture through a Context Diagram, Data Flow Diagram (DFD), and Conceptual Design. A VBA-based financial reporting system was developed in Microsoft Excel to integrate transaction recording, inventory, accounts payable and receivable, journals, ledgers, and financial statements. The AHP results identified Supplier 2 as the preferred supplier with a priority value of 52.7%, compared with 47.3% for Supplier 1. The integrated system provides a structured mechanism for improving operational data management, financial reporting, and decision-making. The study demonstrates the practical potential of integrating SCM, AHP, system design, and VBA technology to support more efficient and data-driven business processes in SMEs.  
Implementation of the Indobert Model for Named Entity Recognition in Public Complaint Texts from the City of Semarang Yossi Rifky Shabara; Mustafa Mustafa
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 3 (2026): Technema: Journal of Intelligent Engineering and Computing
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

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Abstract

Public complaint management in public services continues to face challenges because complaint data are generally presented as unstructured text containing informal language, abbreviations, and Indonesian-Javanese code-mixing. These characteristics complicate the identification of essential information and the determination of appropriate destination agencies when complaints are processed manually. This study aims to analyze the capability of the IndoBERT model for Named Entity Recognition (NER) in extracting relevant entities from public complaint texts in Semarang City to support complaint routing. A quantitative experimental approach was employed through complaint data collection, BIO-scheme annotation, text preprocessing, IndoBERT fine-tuning, and model evaluation using Precision, Recall, and F1-Score. The dataset consisted of 1,066 complaint sentences containing four target entities: service, location, problem category, and time. Strict-chunk evaluation using seqeval showed that the best IndoBERT checkpoint, obtained at Epoch 3, achieved a Macro F1-Score of 0.62, with the highest performance for LAYANAN (F1=0.68) and the lowest for LOKASI (F1=0.56). Error analysis further indicated that entity-boundary shifts, category ambiguity, and lexical variation in local and informal expressions remained important factors affecting recognition performance. The findings demonstrate that IndoBERT can transform heterogeneous complaint narratives into structured entity information and provide a foundation for improving the efficiency of public complaint management and routing within smart governance systems.
Analysis of Road Pavement Conditions Using the Surface Distress Index (SDI) and International Roughness Index (IRI) Methods Based on the RoadLab Application on the Gunungwungkal–Sumberrejo Road Section, Pati, STA 0+000–3+000 Muhammad Mudofar; Nabil Kharisma Aji; Rachmat Mudiyono; Juny Andry Sulistyo
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 3 (2026): Technema: Journal of Intelligent Engineering and Computing
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

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Abstract

Good pavement conditions are essential for supporting safe and efficient transportation activities on the road. The Gunungwungkal–Sumberrejo road in Pati Regency has experienced various types of pavement distress that may reduce road serviceability and driving comfort. This study aims to evaluate pavement conditions using the Surface Distress Index (SDI) and International Roughness Index (IRI) methods, assess the relationship between the two indicators, and determine appropriate maintenance treatments. The study was conducted along the Gunungwungkal–Sumberrejo road from STA 0+000 to STA 3+000, divided into 30 segments of 100 m each. SDI data were obtained through visual field observations, while IRI data were measured using the RoadLab application. The results showed an average SDI value of 200.83, classified as heavily damaged, although 67% of segments were categorized as good. The average IRI value was 6.1523 m/km, with 47% of segments classified as fair and no segments classified as heavily damaged. The correlation coefficient between SDI and IRI was 0.355, indicating a weak positive relationship. The integrated assessment resulted in a good pavement condition, with recommended treatments consisting of 20% routine maintenance, 37% periodic maintenance, 20% rehabilitation, and 23% reconstruction. The findings also indicate that pavement deterioration was distributed unevenly along the road section, emphasizing the importance of segment-level evaluation in determining maintenance priorities. Therefore, the combination of SDI and IRI can support more targeted and effective pavement management decisions.

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