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ITEj (Information Technology Engineering Journals)
ISSN : 25482130     EISSN : 25482157     DOI : https://doi.org/10.24235/itej.v5i2
ITEj (Information Technology Engineering Journals) is an international standard, open access, and peer-reviewed journal to discuss new findings in software engineering and information technology. The journal publishes original research articles and case studies focused on e-learning and information technology. All papers are peer-reviewed by reviewers. The scope of the system discussed is attached but not limited; Systems and software engineering Artificial Intelligence Technology (AI) and Machine Learning Internet of Thing and Big Data Smart Education systems and components Computer Vision Information Technology etc
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Articles 15 Documents
Search results for , issue "Vol 10 No 2 (2025): December" : 15 Documents clear
Performance of Self-Compacting Concrete (SCC) Mixes with Different Brands of Superplasticizers Hilmansyah, Asep
ITEJ (Information Technology Engineering Journals) Vol 10 No 2 (2025): December
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v11i1.283

Abstract

Self-Compacting Concrete (SCC), classified as High-Performance Concrete (HPC), is a type of cement-based concrete characterized by its high flowability, ability to compact without vibration, and resistance to segregation. These properties make SCC ideal for structures with dense reinforcement or complex cross-sections. The use of a Superplasticizer admixture is essential in producing SCC with the required performance. This study aimed to analyze the influence of three Superplasticizer brands—NAPTHA 600D, NORMET TanCem 60RP, and CONSOL P200-R 1S—on the characteristics and performance of SCC. The experimental work was conducted at the Laboratory of Geotechnics, Tunnels, and Structures (BGTS) of the Road and Bridge Engineering Implementation Unit. Three dosage variations (0.5%, 0.7%, and 1.0%) were tested to evaluate homogeneity, slump flow, and compressive strength. The slump flow was controlled according to the Bina Marga General Specifications 2018 Revision 2 (550–850 mm), and the compressive strength was targeted at 33 MPa at 7 days. The results showed that all Superplasticizers produced different flowability and strength characteristics. At 1.0% dosage, each brand achieved the required slump flow and compressive strength, with minor variations in homogeneity and bleeding behavior.
Design of a Dual Band Yagi Antenna For Amateur Radio At a VHF Frequency of 143 MHz Sadan, Cik; Agung, Zakuan
ITEJ (Information Technology Engineering Journals) Vol 10 No 2 (2025): December
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v10i2.279

Abstract

Abstract—This research discusses the design and realization of a four-element Yagi antenna optimized for amateur radio communications in the VHF 143 MHz frequency band. The research process was carried out through simulations using CST Studio Suite software, antenna prototype assembly, and laboratory and field testing. The simulation results show that the antenna has a return loss of -22.14 dB, VSWR of 1.168, impedance of 50.23 Ω, and a gain of 7.613 dBi. After the antenna was realized, measurements using NanoVNA resulted in a return loss of -12 dB, VSWR of 1.4, impedance of 49.41 Ω, and a gain increasing to 10.9 dBi. Field testing proved that the antenna is able to work stably at a frequency of 143 MHz with an effective communication range of more than 10 km, although signal quality decreases at longer distances due to environmental obstacles and interference. Overall, the results of this study indicate that the designed four-element Yagi antenna meets the technical criteria of low VSWR, impedance approaching 50 Ω, adequate return loss, and high gain, making it suitable for use in supporting long-distance communications in amateur radio systems.
Smart Energy Coordination Platform for Rural Public Facilities: Multi-Facility Load Optimization and Smart Control System Niar, Rahma; Tharo, Zuraidah; Rahmadani, Nur Fadilah
ITEJ (Information Technology Engineering Journals) Vol 10 No 2 (2025): December
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v10i2.280

Abstract

Rural public facilities in Indonesia face significant energy efficiency challenges due to inadequate management systems, aging infrastructure, and limited technical capacity. This study develops a smart energy coordination platform integrating IoT sensors and wireless communication networks for five public facilities in Petumbukan Village, North Sumatra. Six-month continuous monitoring using power quality analyzers and IoT data loggers revealed 310.7 kWh/day total consumption with 0.43 load factor, 40.7 kW peak demand, and 1.27 diversity factor across facilities. Comprehensive energy audit identified 17.7 kW total losses (43.5% of peak load), with lighting inefficiency representing the primary concern at 8.5 kW (20.9% of system load). The proposed four-layer IoT architecture implements smart meters, environmental sensors, LoRaWAN communication, and edge computing devices for real-time monitoring and automated control. Multi-facility coordination algorithms leverage load diversity to achieve 22% annual energy savings (56,327 kWh) through optimized scheduling and demand management. System performance demonstrates 15% peak demand reduction, load factor improvement from 0.43 to 0.52, and sub-5-minute response times for automated load adjustments. The platform provides a technically feasible and replicable framework for rural electrification optimization in developing countries, addressing the gap between urban-focused smart grid solutions and rural infrastructure constraints.
Integration of Multi-Item EOQ and EPQ to Minimize Total Inventory Cost of Outsole Raw Materials Kusuma, Yahya; Iriani, Iriani
ITEJ (Information Technology Engineering Journals) Vol 10 No 2 (2025): December
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v10i2.284

Abstract

This study analyzes the integration of the multi-item Economic Order Quantity (EOQ) and Economic Production Quantity (EPQ) methods to minimize the inventory costs of outsole raw materials at UD. Santoso Mojokerto. The main problem lies in the high storage costs caused by the mismatch between purchasing quantities and the production needs of women’s flat sandals in sizes 37–39. Using demand, production, and inventory cost data for the period of August 2024–July 2025, EOQ is applied to determine the optimal order quantity, while EPQ is used to establish the optimal production quantity. The results show that integrating EOQ and EPQ can reduce total inventory costs compared to the company’s current method, while also maintaining raw material availability and ensuring smooth production processes.
Tsukamoto Fuzzy Logic Method for Determining Mental Health Levels of Final-Year University Students Sarip, Nabila Rizky; Sriani, Sriani
ITEJ (Information Technology Engineering Journals) Vol 10 No 2 (2025): December
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v10i2.291

Abstract

Mental health is an important aspect that affects the ability of final-semester students to complete their studies and face academic and non-academic pressures. The problem that arises is the difficulty in assessing mental health conditions because it is subjective and complex. The Tsukamoto fuzzy method is used because it is able to handle data uncertainty and provides results in the form of measurable crisp values. This study aims to apply the Tsukamoto fuzzy logic method in determining the level of mental health of final-semester students in a more objective and measurable manner. This system model uses four input variables, namely stress level, sleep quality, emotional exhaustion, and duration of gadget use, with 81 rules (rule base) that form relationships between variables. The inference process is carried out through the stages of fuzzification, rule inference, and defuzzification with increasing and decreasing linear triangular membership functions. Testing was carried out using MATLAB by comparing the prediction results to actual data to calculate the model accuracy level using the Mean Absolute Percentage Error (MAPE). The results showed that the total MAPE value was 19.34%, which is in the range of 10%–20% so it is included in the good accuracy category. This demonstrates that the Tsukamoto fuzzy method can provide fairly accurate predictions of the mental health of final-semester students. Therefore, this system can be used as a tool for evaluating and early detection of student mental health in higher education settings.

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