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JiTEKH (Jurnal Ilmiah Teknologi Harapan)
Published by Universitas Harapan Medan
ISSN : 23385677     EISSN : 25496646     DOI : 10.35447
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Mechanical Engineering
JITEKH merupakan jurnal ilmiah yang menyajikan artikel orisinal tentang pengetahuan dan informasi riset atau aplikasi riset dan pengembangan terkini dalam bidang keteknikan dan teknologi informasi. Ruang lingkup Jurnal JITEKH meliputi bidang Informatika, Teknik Mesin, Teknik Elektro, Sistem Informasi, Teknik Industri dan Teknik Sipil. Focus and Scope: Design Manufacture Konversi Energi Material Data analysis Natural Language Processing Artificial Intelligence Neural Networks Pattern Recognition Image Processing Genetic Algorithm Bioinformatics/Biomedical Applications Biometrical Application Content-Based Multimedia Retrievals Augmented Reality Virtual Reality Information System Game Mobile Data mining Artificial Intelligence Sistem Pendukung Keputusan IT Bussiness Incubation IT Governance Cloud Computing Dessision Support System Instrumentation and Control Electrical (Power) Electronics Engineering Industrial Engineering Optimasi Sistem Produksi Perencanaan Produksi dan Pengendalian Persediaan Penjadwalan dan Manajemen Operasi/Proyek Computer-Integrated Manufacturing System Sustainable Product Design and Manufacturing Penelitian Operasional dan Decision-Making Model Manajemen Teknologi Pengukuran Kerja, Faktor-Faktor Manusia dan Ergonomi Rekayasa dan Pengendalian Kualitas Sistem Logistik dan Supply Chain Management Perancangan dan Pengembangan Produk Concurrent Engineering Analisis Ekonomi Teknik Pemodelan Sistem dan Analisis Simulasi Perancangan Layout Fasilitas Knowledge Management Reliability and Maintenance Engineering Sistem dan Teknologi Informasi Rekayasa Pelayanan (Service Engineering) Technopreneurship dan Inovasi Aplikasi Model Stokastik dalam Teknik Industri Aplikasi Metode Metaheuristik dalam Teknik Industri Building Materials and Structures Constructions Technology Constructions Economy and Management Earthquake Engineering Environmental Engineering Renovation of Buildings Geotechnical Engineering Highway Engineering Hydraulic and Hydraulic Structures Road and Bridge Engineering Structural Engineering Surveying and Geo-Spatial Engineering Transportation Engineering Tunnel Engineering Urban Engineering and Economy Water Resources Engineering Urban Drainage
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 117 Documents
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Digital Transformation and Human Resource Development for Operational Performance: A PLS-SEM Approach Hasibuan, Taufiqurrahman; Hasibuan, Abdurrozzaq; Nasution, Suhela Putri
JiTEKH Vol. 14 No. 1 (2026): March 2026
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jitekh.v14i1.1332

Abstract

This study investigates the structural relationships between Digital Transformation, Human Resource Development, and Operational Performance using the Partial Least Squares-Structural Equation Modeling (PLS-SEM) approach. The research aims to examine how digital initiatives and human resource capability development contribute to improving operational performance in organizations. Data were collected from 200 respondents involved in operational and digital transformation activities. The results indicate that Digital Transformation significantly enhances Operational Performance by improving process efficiency, flexibility, and productivity through the integration of digital technologies and data-driven decision systems. Human Resource Development also has a significant positive effect on Operational Performance by strengthening employee competencies, training effectiveness, and learning culture. In addition, Human Resource Development significantly influences Digital Transformation, indicating that employee readiness and capability are critical factors for successful digital implementation. The structural model demonstrates strong explanatory power and predictive relevance, indicating that the integration of technological transformation and human capital development plays an important role in improving operational performance. These findings provide managerial insights for organizations seeking to align digital transformation strategies with human resource development initiatives to achieve sustainable operational improvements.
Analisis Banjir Rancangan dengan Metode Hidrograf Satuan Sintetik: Synder dan SCS (Soil Conservation Service) di Lokasi Sungai Belumai Tanjung, Akbarsyah Muhammad; Hani, Sheila; Hendri, Hendri
JiTEKH Vol. 14 No. 1 (2026): March 2026
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jitekh.v14i1.1345

Abstract

Banjir merupakan salah satu bencana hidrometeorologi yang sering terjadi di Indonesia dan menimbulkan kerugian sosial serta ekonomi yang signifikan. Oleh karena itu, analisis debit banjir rancangan sangat penting dalam perencanaan infrastruktur pengendali banjir, khususnya pada daerah aliran sungai yang memiliki keterbatasan data hidrograf pengamatan. Penelitian ini bertujuan untuk menganalisis dan membandingkan debit banjir rancangan menggunakan metode Hidrograf Satuan Sintetik Snyder dan Soil Conservation Service pada DAS Belumai. Metode penelitian meliputi analisis data curah hujan maksimum tahunan, uji konsistensi data menggunakan metode Rescaled Adjusted Partial Sums, serta analisis frekuensi untuk memperoleh hujan rencana. Selanjutnya, hujan efektif digunakan dalam pembentukan hidrograf banjir dengan kedua metode tersebut. Hasil analisis menunjukkan bahwa debit puncak metode Snyder terjadi lebih cepat dibandingkan metode Soil Conservation Service, dengan nilai debit yang lebih besar pada setiap periode ulang. Pada periode ulang 100 tahun, debit puncak metode Snyder sebesar 802,695 meter kubik per detik, sedangkan metode Soil Conservation Service sebesar 525,012 meter kubik per detik. Perbedaan hasil ini menunjukkan bahwa metode Snyder memberikan estimasi yang lebih konservatif dibandingkan metode Soil Conservation Service. Dengan demikian, metode Snyder lebih direkomendasikan dalam perencanaan pengendalian banjir untuk mempertimbangkan kondisi debit maksimum
Analisis Penambahan Teknologi Baterai pada Diesel Electric Multiple Unit (DEMU) Setyawan, Romal Hadi; Nizam, Muhammad; Putra, Mufti Reza Aulia
JiTEKH Vol. 14 No. 1 (2026): March 2026
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jitekh.v14i1.1356

Abstract

This study analyzes the impact of integrating a 70 kWh Lithium Titanate Oxide (LTO)-based Battery Energy Storage System (BESS) into the traction system of a Diesel Electric Multiple Unit (DEMU) operating on the Bandung–Cimahi–Padalarang corridor. Two primary problems are addressed: (1) regenerative braking energy wasted as heat in brake resistors, and (2) limited diesel engine power ramp-up response during acceleration. The methodology applies technical analysis based on real operational data loggers at 0.5-second resolution and numerical power flow simulation on a 1,500 VDC link across 12 daily trip cycles. Results show that battery integration increases initial traction effort by 18.1% (82.75 kN → 97.77 kN), reduces 0–25 km/h acceleration time by 26.7% (24.54 s → 17.98 s), and improves notch-P7 acceleration by 39.3%. Fuel savings reach 4.99 liters/cycle (7.14%), equivalent to 21,856 liters/year. Recovered regenerative energy is 6.48 kWh/cycle. CO₂ reductions total 59,228 kg/year, equivalent to planting 2,692 trees. Investment analysis yields a positive NPV of IDR 192,064,475 with a 2.35-year payback period, within the 3.42-year battery service life.
Analisis Pengendalian Kualitas Produksi Roti UMKM Menggunakan Seven Tools dan 5W+1H untuk Menurunkan Tingkat Kecacatan Rosyidi, Moh. Ririn; Narto, Narto; Izzah, Nailul; Rufaidah, Anik
JiTEKH Vol. 14 No. 1 (2026): March 2026
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jitekh.v14i1.1297

Abstract

Quality control in bakery MSMEs still has defects and inconsistencies in food quality in the production process. The defect rate reached 17.3% (3,474 units out of 20,085 production), dominated by unrisen bread (53.1%) and burnt bread (46.9%), with the production process not statistically controlled (11 points outside the control limits; CL=0.1730; UCL=0.2122; LCL=0.1337). This study aims to identify the root causes of defects through the 4M approach and formulate recommendations for structured, measurable, and sustainable improvements. The main contribution of the research is to develop a proactive, data-based quality control system with the integration of Seven Tools and 5W+1H, which was previously only descriptive-diagnostic. Proactive management is realized through the determination of critical parameters before production by paying attention to the final mixing dough temperature of 26°C, mixing duration of 12 minutes (standard deviation <1 minute), first fermentation of 50 minutes, final proof of 45 minutes in the proofer (temperature 36°C), oven temperature of 185±2°C, preheating of 10 minutes, sugar content of 10% of the flour weight (tolerance of ±1 gram), minimum dough thickness of 1.2 cm and digital scales. Specific suggestions such as monthly oven calibration (deviation ≤±5°C), replacement of black pans with silver aluminum (heat absorption -25%), and standardization of baking time of 18 minutes with an alarm, are proven to be able to change the quality control strategy of MSMEs from final inspection (reactive) to continuous statistical process control (proactive). After the implementation of the proposed improvements, the control chart showed 13 data points were within the control limits (UCL=0.2122; LCL=0.1337), which indicated the production process was statistically under control with significant stability improvement, the target was to reduce the total defect rate from 17.3% to ≤9% with good planning.
Design and Implementation of Safe Security System Using Multi-Factor Authentication: Facial Recognition, National ID Card and PIN Muharom, Syahri; Sulistianto, Sigit Adhi; Firmansyah, Riza Agung; Pambudi, Wahyu Setyo; Kurniawan, Muchammad
JiTEKH Vol. 14 No. 1 (2026): March 2026
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jitekh.v14i1.1306

Abstract

Traditional storage cabinets that rely on conventional locks and provide unrestricted access are highly vulnerable to theft. To safeguard documents and other valuable items from loss, an integrated security system is required to regulate and secure access to storage compartments. This study aims to develop a security system based on facial recognition, ID cards, and a keypad interface The Haar Cascade classifier combine with LPBH utilizing the OpenCV library is employed for facial identification by storing 30 photos per person in a designated folder, and subsequently comparing facial objects captured by a webcam against pre-stored and trained facial data in the database. The analysis indicates that the optimal detection range of the system is between 100 and 300 cm. In facial orientation testing, the best recognition performance is achieved at angles between 0° and 40°. Based on 20 experimental trials, the system demonstrates an average success rate of 80%. These results suggest that a facial‑recognition‑based security system utilizing the Haar Cascade approach is feasible for implementation as a protective mechanism for storage cabinets.
Sistem Monitoring IoT untuk Evaluasi Kebersihan Alat Konverter pada Insinerator Sampah Zumhari, Zumhari; Yuvina, Yuvina; Damayanti, Fera; Nasution, Tuti Adi Tama; Mardiana, Mardiana
JiTEKH Vol. 14 No. 1 (2026): March 2026
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jitekh.v14i1.1238

Abstract

The issue of waste in major cities is one of the biggest challenges that needs to be addressed. To tackle this, an Internet of Things (IoT)-based clean urban system is designed to reduce waste volume, improve environmental quality, and generate renewable electricity. The method used consists of several main components. First, smart bins equipped with sensors identify the amount and type of waste, with data sent to an IoT platform for analysis. Second, an incinerator is used to burn waste and produce thermal energy, which is then converted into electrical energy by a thermoelectric generator. Third, the IoT platform manages data from thermocouple and MQ-2 sensors to monitor the combustion process and air quality. This platform also provides system performance information to users. The implementation of this system is expected to significantly reduce urban waste volume, enhance environmental quality, and generate renewable energy. Furthermore, this system has the potential to improve waste management efficiency and public awareness.
Development of a Real-Time Smartphone Based Drowsiness Detection System Using MobileNet and Google ML Kit Hasibuan, Ade Zulkarnain; Asih, Munjiat Setiani
JiTEKH Vol. 14 No. 1 (2026): March 2026
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jitekh.v14i1.1374

Abstract

The rapid development of smartphone technology has increased the duration of device usage, which can lead to eye fatigue, decreased concentration, and drowsiness. Many users continue using smartphones despite experiencing signs of fatigue, potentially affecting health and productivity. Therefore, this study aims to develop a real-time drowsiness detection system for smartphone users based on Android using Google ML Kit and MobileNetV1. The system utilizes Google ML Kit for face detection and MobileNetV1 for classifying eye conditions into open and closed states. The dataset used is a combination of a public dataset from Kaggle (dataset_B_Eye_Images) and additional data collected independently to improve model generalization. The model was trained and further optimized through a fine-tuning process. Experimental results show that the model achieved an accuracy of approximately 96%, with balanced precision, recall, and F1-score values. The confusion matrix analysis indicates improved performance after fine-tuning. In real-time implementation, the system operates at 6.0–7.3 FPS with a latency of 60–72 ms per frame and a notification response time of less than 1 second. The system demonstrates robustness under varying lighting conditions, achieving accuracy up to 100% in bright conditions, 98% in normal conditions, and 95% in low-light conditions. However, performance decreases when users wear glasses due to reflection interference. Overall, the results indicate that MobileNetV1 is effective for real-time drowsiness detection on mobile devices, although further improvements are needed to enhance system robustness under diverse user conditions

Page 12 of 12 | Total Record : 117

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