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Scripta Technica: Journal of Engineering and Applied Technology
Published by CV SCRIPTA INTELEKTUAL MANDIRI
ISSN : -     EISSN : 31099696     DOI : -
Core Subject : Engineering,
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering
Scripta Technica: Journal of Engineering and Applied Technology is a peer-reviewed scientific journal that focuses on the dissemination of high-quality research in the fields of engineering and applied technology. It serves as an open platform for researchers, engineers, practitioners, and academics to publish innovative studies, technical developments, and theoretical contributions that address real-world engineering problems and technological advancement. The journal welcomes manuscripts in areas such as mechanical and electrical engineering, civil and environmental engineering, computer and information technology, materials science, renewable energy, automation, robotics, and other applied engineering fields. All submissions undergo a rigorous double-blind peer-review process to ensure academic integrity and scientific excellence. Scripta Technica is published biannually in June and December, promoting sustainable, practical, and forward-looking innovations that contribute to technological progress at national and international levels.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 86 Documents
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Perancangan Sistem Otomatisasi Pengisian Air Galon Menggunakan Sensor Infrared Proximity Gita Aubreza Safitri; Ana Nur Avivah; Enggar Bagus Pramudyanto; Rio Umair Andica; Eli Mas’idah
Journal of Engineering and Applied Technology Vol 2 No 1 (2026): : June: Scripta Technica: Journal of Engineering and Applied Technology
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/bwann311

Abstract

The need for a practical, hygienic, and efficient drinking water dispensing system has driven the development of sensor-based automated devices to replace the manual mechanisms still widely used in conventional gallon pumps. This study aims to design and implement an automated water-filling system for water jugs using an infrared proximity sensor as an object detector and a relay module to control a DC water pump. The method employed is an empirical experiment involving the design, assembly, implementation, and testing of a prototype. The system is designed using direct control principles without a microcontroller, resulting in a simple, economical, and easily replicable architecture. Testing was conducted by simulating actual usage conditions to evaluate the sensor’s detection capability, relay response, pump stability, operational safety, energy efficiency, hygiene of use, and the economic aspects of the design. The results of the study show that the system is capable of consistently detecting the presence of a glass, automatically activating the pump when an object is detected, and stopping the water flow when the object is no longer within the sensor’s range. The system also demonstrates good reliability, low power consumption, and relatively affordable design costs. These findings indicate that the integration of infrared proximity sensors and relays can be an effective solution to support the automation of water jug filling in both household and public facility settings.  
Analisis Sentimen Mahasiswa terhadap Penggunaan Chat GPT untuk Tugas Kuliah Menggunakan Metode Naïve Bayes Irma Aprilia Sihite; Gaberia Pasaribu; Ketrina Angreyni; Kristina Lumban Toruan; Selvi Ulina br Silalahi; Tiara Dolok Saribu; Yulianus Bawamenewi
Journal of Engineering and Applied Technology Vol 2 No 1 (2026): : June: Scripta Technica: Journal of Engineering and Applied Technology
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/mfnvh217

Abstract

Advances in generative artificial intelligence technology have driven an increase in the use of ChatGPT for various academic activities, including the completion of college assignments. This study aims to analyze student sentiment toward the use of ChatGPT for college assignments using the Naïve Bayes method. The study employs an empirical, machine learning-based experimental approach using a dataset obtained from Kaggle consisting of 1,153 student comments. The research stages include data preprocessing, feature extraction using Term Frequency–Inverse Document Frequency (TF-IDF), training the Naïve Bayes model, and evaluating performance through a confusion matrix and classification accuracy. The preprocessing results yielded 1,125 clean data points suitable for analysis. The sentiment distribution showed a dominance of negative sentiment in 1,003 data points (89.16%), while positive sentiment accounted for 122 data points (10.84%). Model testing yielded an accuracy rate of 90.67%, indicating that the Naïve Bayes algorithm is capable of effectively identifying sentiment patterns in student textual data. The research findings indicate that although ChatGPT offers benefits in improving task completion efficiency, most students still have concerns regarding academic dependency, academic integrity, and a decline in critical thinking skills. The research results contribute to our understanding of students’ perceptions regarding the use of generative artificial intelligence in higher education settings.  
Analisis Perawatan Mesin Kiln Dry Menggunakan Metode Preventive Maintenance Ariq Maulana; Cahyo Prasojo; Ahmad Rois Fathul In’am; Muhammad Alanatha Musyafa; Sukarno Budi Utomo
Journal of Engineering and Applied Technology Vol 2 No 1 (2026): : June: Scripta Technica: Journal of Engineering and Applied Technology
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/qjyw5q36

Abstract

This study evaluates the operational reliability and thermal efficiency of a conventional kiln dry installation through a longitudinal action research approach. By investigating six critical mechanical subsystems, the research maps component degradation patterns under maximum load conditions using the functional matrix of heating, circulation, ventilation, control, structure, and safety modules. Empirical data from real-time checklists, infrared thermography inspections, and maintenance logs were validated using triangulation techniques to analyze schedule compliance, mechanical downtime durations, and early anomaly detection indices. The findings indicate that higher maintenance schedule compliance directly correlates with reduced mechanical downtime and stable micro-climate control within the drying chamber. Furthermore, a critical cause-and-effect analysis reveals that external spare part lead times significantly accelerate component aging and cause substantial lifetime deviations from manufacturer specifications. Consequently, micro-climate instability induces severe geometric defects, internal checking, and structural collapse in the timber pores. Implementing a structured, pro-active preventive maintenance policy effectively mitigates operational bottlenecks, guarantees phytosanitary treatment standards, and systematically improves the overall output quality of industrial wood manufacturing.  
Dampak Eksploitasi Kerentanan Web terhadap Integritas Data: Tinjauan Kewajiban Etis dan Legalitas Developer Muhamad Nazry Khoiry; Evy Nurmiati
Journal of Engineering and Applied Technology Vol 2 No 1 (2026): : June: Scripta Technica: Journal of Engineering and Applied Technology
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/wjahqt98

Abstract

Web application security vulnerabilities, specifically SQL injection, pose a critical threat to data integrity, directly undermining the foundational security pillars of accuracy, completeness, and consistency. This study investigates the impact of such exploits through controlled black-box penetration testing on vulnerable prototypes, subsequently analyzing the findings against ethical engineering frameworks and Indonesian cyber law regulations. Empirical evidence demonstrates that inadequate security configurations lead to unauthorized data exfiltration and mass manipulation, which constitutes a severe breach of professional developer responsibilities. The research highlights that technical failures are inextricably linked to legal and ethical accountability, necessitating a transition from reactive patching to a proactive, security-by-design development paradigm. By mapping technical vulnerabilities to the governing legal statutes and professional ethics codes, this article establishes a mandate for developers to prioritize robust security architectures. The study underscores that strengthening digital resilience requires a cohesive integration of advanced technical defense mechanisms with strict adherence to national regulatory frameworks to ensure long-term data security and institutional accountability in the digital era.  
Analisis Penyebab Tingginya Reject Produk pada Area Warehouse Menggunakan Metode Pareto, 5 Why Analysis, dan Fishbone Diagram Rizal Deokosta; Muhammad Ifdol; Hilman Mubarik Aziz; Immanuel Wijaya Huwae; Yudi Prastyo
Journal of Engineering and Applied Technology Vol 2 No 1 (2026): : June: Scripta Technica: Journal of Engineering and Applied Technology
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/5ev5xv84

Abstract

The high rate of product rejection within the warehouse area compromises spatial efficiency and escalates logistics expenses in automotive manufacturing. This empirical study constructs a structured diagnostic interventional framework using Pareto charts, Fishbone diagrams, and 5 Why analysis to mitigate storage quality failures. Baseline evaluations revealed that the initial defect rate peaked at 5.20% (520 rejected units), significantly violating the 3.0% corporate tolerance threshold, with material damage and misplacement contributing a substantial 76.92% cumulative total. To address these layout and procedural root causes, engineering interventions were deployed, including warehouse redesign, shared storage, rigid pallet stacking limitations, standardized visual labeling, and operator competency training. Post intervention comparative analysis demonstrated an exceptional recovery in operational reliability, successfully driving the rejection rate down to 2.8% (280 units). This systematic reduction demonstrates the robust efficacy of integrating statistical quality metrics with spatial engineering to achieve sustainable operational excellence in modern industrial warehousing.  
Analisis Sentimen Kecelakaan Lalu Lintas Di Tweet Twitter Menggunakan Metode Naïve Bayes Aldy Sahputra Saragih; Evantrana Yordan Bangun; Fastabikha Akbar Fahlevi; Ariel Kurniawan; Kristian Sigalingging; Fasta Krel Four Wati Br Haloho; Salman Putra Jaya Hulu
Journal of Engineering and Applied Technology Vol 2 No 1 (2026): : June: Scripta Technica: Journal of Engineering and Applied Technology
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/fn3jte47

Abstract

This study develops a robust computational framework using a structured Naïve Bayes architecture to mine, classify, and analyze public discourse regarding traffic accidents on Twitter (now X). Utilizing a massive corpus of 157,629 digital documents, the probabilistic model successfully extracts macro-level sentiment distributions with a high global accuracy of 82.60%. The empirical findings reveal an overwhelming dominance of external factor attributions, accumulating 128,613 tweets, which underscores a critical public sensitivity toward infrastructure malfunctions and suboptimal road conditions in urban environments. By transforming unorganized microblogging texts into structured analytical matrices, this research establishes an economical, real-time social sensor that effectively bypasses the logistical delays of conventional manual reporting systems. Ultimately, this study contributes a novel theoretical repositioning from reactive safety evaluations to data-driven preventive strategies, providing government authorities with a rigorous, scalable decision-making tool to optimize sustainable transportation infrastructure and mitigate urban traffic fatalities.    
Analisis Literasi Tujuan Pembangunan Berkelanjutan (SDGs) dalam Membentuk Perilaku Kepedulian Lingkungan Eko Sutrisno; Nuril Ahmad; Anita Anita; Moch. Ichdah Asyarin Hayau Lailin
Journal of Engineering and Applied Technology Vol 2 No 1 (2026): : June: Scripta Technica: Journal of Engineering and Applied Technology
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/kc2xxn28

Abstract

The integration of Sustainable Development Goals (SDGs) literacy into higher education serves as a critical instrument for accelerating green campus culture as a manifestation of ecological responsibility. This study examines how systematic implementation of environmental policies and sustainability-oriented curricula transforms theoretical knowledge into tangible, pro-environmental academic behaviors among students. Empirically, the research demonstrates that high student engagement in waste management and energy efficiency reflects the successful internalization of sustainability literacy into daily habituation. Furthermore, the synthesis of ethical values and global sustainability principles empowers students to develop innovative solutions to environmental challenges. As a living laboratory, universities play a pivotal role in bridging the gap between ecological awareness and actionable commitment. The findings indicate that reflective and applied educational approaches significantly enhance students' long-term dedication to environmental preservation, effectively preparing graduates to act as agents of change in professional and societal domains.  
Usulan Peningkatan Keselamatan Kerja Operator Produksi Melalui Metode Job Safety Analysis di CV XYZ Syalina Amalia; Mochammad Ariq Farizi; Yoga Rizki Fadilah; Rico Ferdinand Alhakim; Yuniar Yuniar
Journal of Engineering and Applied Technology Vol 2 No 1 (2026): : June: Scripta Technica: Journal of Engineering and Applied Technology
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/s1pnwf36

Abstract

This study aims to identify potential hazards, assess occupational safety risk levels, determine the root causes of dominant risks, formulate control recommendations, and develop an occupational safety dashboard for the knife production process at CV XYZ. The study employs an empirical approach through field observations and interviews, while activity mapping is conducted using an Operation Process Chart. Hazard identification and risk assessment were conducted using a Job Safety Analysis with a Probability Severity matrix; subsequently, the activities with the highest risks were analyzed using the 5 Whys Analysis. The results showed that of the 17 activities evaluated, 4 were categorized as Low Risk, 12 as Medium Risk, and 1 as High Risk specifically, the heat treatment process, which had a Risk Number of 12. The root cause analysis identified the lack of safety signs and communication materials regarding the use of personal protective equipment as the dominant causes of increased workplace accident risk. Control recommendations include installing safety signs, posting notices regarding the mandatory use of personal protective equipment, and providing heat-resistant gloves, safety goggles, and heat-resistant safety shoes. All research findings are integrated into an OSH dashboard built on Google Looker Studio, which presents risk information, safety indicators, PPE requirements, and cost analyses to support data-driven decision-making aimed at improving the effectiveness of workplace safety management.
Implementasi Algoritma Naive Bayes untuk Klasifikasi Tingkat Stres Mahasiswa Berdasarkan Pola Perilaku Belajar M. Fhatir Fadlillah Lubis; Andhica Romanja Sipahutar; Daniel Pertogi Simbolon; Elisabeth Givani
Journal of Engineering and Applied Technology Vol 2 No 1 (2026): : June: Scripta Technica: Journal of Engineering and Applied Technology
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/tmc6qj24

Abstract

This study aims to implement the Gaussian Naive Bayes algorithm to classify students’ stress levels based on learning behavior patterns as a machine learning-based early detection approach. The study employs an empirical experimental method using the “Student Stress and Study Behavior” dataset, which includes attributes such as study duration, sleep hours, academic workload, physical activity, social media use, and stress levels as the target variable. The research stages included data preprocessing, attribute transformation, dataset splitting using the hold-out validation method, classification model development, and evaluation using accuracy, precision, recall, and F1-score. The results show that the Gaussian Naive Bayes model achieved an accuracy of 91.27%, a precision of 90.84%, a recall of 91.02%, and an F1-score of 90.93%. The findings indicate that sleep duration and study duration are attributes that significantly contribute to the classification of students’ stress levels. This study contributes to the development of an efficient, interpretable, and practical decision support system to support the monitoring of students’ mental health.  
Survei Penerapan Aplikasi E-Paksi dalam Inventarisasi Aset dan Penilaian Kinerja Sistem Irigasi Air Merah Rimbo Recap pada Dinas Pekerjaan Umum dan Penataan Ruang Kabupaten Rejang Lebong Angga Darwantono; Rezi Munizar
Journal of Engineering and Applied Technology Vol 2 No 1 (2026): : June: Scripta Technica: Journal of Engineering and Applied Technology
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/fm80zp31

Abstract

This study aims to analyze the application of the E-PAKSI app in asset inventory and performance assessment of the irrigation system at the Air Merah Rimbo Recap Weir, managed by the Rejang Lebong Regency Public Works and Spatial Planning Agency. The method used was an empirical study with a descriptive survey approach through field observations, asset inventory using the E-PAKSI application, photographic documentation, GPS coordinate recording, and data validation through triangulation with actual conditions in the field. The analysis was conducted using the application’s automatic weighting system to generate an Irrigation System Performance Index and evaluate the condition of each structural component. The results show that the weir received a performance index score of 59.82%, classified as “poor,” indicating the need for maintenance and rehabilitation, particularly for the spillway gates, which exhibited the highest level of damage. The implementation of E-PAKSI has proven to improve the efficiency of asset inventory, consistency in assessment, accuracy of asset documentation, and ease in establishing data-driven priorities for operations and maintenance. This study confirms that the digitization of irrigation asset management through E-PAKSI can strengthen the effectiveness of technical decision-making and support more sustainable water resource infrastructure management at the local government level.  

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