cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Nazaruddin
Contact Email
nazarhasibuan10@gmail.com
Phone
+6282123493131
Journal Mail Official
jurnal.jurit@gmail.com
Editorial Address
Jl. Jati Padang Raya No 16, Jati Padang, Pasar Minggu, Jakarta Selatan, DKI Jakarta, Jakarta Selatan, Provinsi DKI Jakarta
Location
Kota adm. jakarta selatan,
Dki jakarta
INDONESIA
Jurnal Riset Ilmu Teknik
Published by Lembaga Penelitian dan Ilmu Pengetahuan JEPIP
ISSN : 29877261     EISSN : 29877253     DOI : 10.59976
Core Subject : Engineering,
Engineering
Jurnal Riset Ilmu Teknik is a peer-reviewed journal, Jurnal Riset Ilmu Teknik is published three times annually, in May, August and December. Jurnal Riset Ilmu Teknik provides a place for academics, researchers, and practitioners to publish scientific articles. The scope of the articles listed in this journal is related to various topics such as Industrial Engineering, Informatics Engineering, Civil Engineering, Electrical Engineering, Architecture, Mechanical Engineering, Engineering Education, and other related engineering fields.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 40 Documents
 1   2   3   4 
Synergistic Effects of Gypsum and Cement on the Geotechnical Properties of Clay Soils: Experimental Evaluation of CBR, UCS, and Compaction Characteristics Basral Anugrah; Haiban, Haiban
Jurnal Riset Ilmu Teknik Vol. 2 No. 2 (2024): September
Publisher : Lembaga Penelitian dan Ilmu Pengetahuan JEPIP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59976/jurit.v2i2.89

Abstract

Expansive clay soils are widely recognized as problematic subgrade materials due to their high plasticity, low strength, and pronounced swelling–shrinkage behavior. This study investigates the synergistic effect of gypsum and cement as stabilizing agents for clay soils. Laboratory tests were conducted on 96 soil specimens, with stabilizer contents of 1%, 3%, and 5% (by dry weight) and curing periods of 1, 7, and 14 days. Standard tests, including Atterberg limits, compaction, California Bearing Ratio (CBR), and Unconfined Compressive Strength (UCS), were performed according to ASTM/SNI standards. Results demonstrate that the combined use of gypsum and cement significantly reduces the plasticity index from 41.54% to 8.35% and increases CBR from 1.99% to 23.65% after 14 days of curing. UCS values also improved, reaching a peak of 1.84 MPa under optimum stabilization conditions (5% additive, 14 days curing). These improvements are attributed to cation exchange and pozzolanic reactions that form calcium silicate hydrate (C–S–H) and calcium aluminate hydrate (C–A–H) phases, enhancing soil particle bonding and reducing voids. The findings indicate that combined gypsum–cement stabilization is not only effective in improving mechanical properties but also modifies the soil classification from high plasticity clay (CH) to low plasticity clay (OL). This research contributes practical guidelines for road subgrade improvement and advances the scientific understanding of chemical–mineral interactions in soil stabilization.
Optimizing Hospital Pharmaceutical Warehouse Operations Using Discrete Event Simulation Aldi Musliadin; Dwi Apriadi
Jurnal Riset Ilmu Teknik Vol. 2 No. 2 (2024): September
Publisher : Lembaga Penelitian dan Ilmu Pengetahuan JEPIP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59976/jurit.v2i2.97

Abstract

This study aims to analyze and optimize the operational performance of the pharmaceutical logistics warehouse at Hospital Yogyakarta using a Discrete Event Simulation (DES) approach. Preliminary observations revealed a significant workload accumulation during peak hours (09:00–10:55), leading to drug distribution delays, a 10–15% weekly discrepancy between physical and system stock data, and a 12% decline in patient satisfaction. Data were collected through direct work time measurements and secondary hospital records, then modeled using an Activity Cycle Diagram (ACD) and simulated with Arena software. Three improvement scenarios were tested: (1) reassigning goods and invoice verification tasks to the ordering operator, (2) adding one new operator dedicated to the posting activity in the system, and (3) combining both strategies. Simulation results indicate that Alternative III provides the best performance, reducing the average cycle time from 411.4 minutes to 65.57 minutes per cycle, improving productivity by up to 99%, and achieving balanced workloads among operators. These findings demonstrate that DES-based modeling is an effective tool for identifying bottlenecks and designing process improvements without requiring costly technological investment. This research contributes to the field of hospital pharmaceutical logistics management by offering an evidence-based decision-making framework to enhance operational efficiency and service quality sustainably.
Decision Support System Model for PPPK Teacher Selection Using the AHP Method Adinda Fadilah Hamdi; Refliana, Refliana
Jurnal Riset Ilmu Teknik Vol. 2 No. 2 (2024): September
Publisher : Lembaga Penelitian dan Ilmu Pengetahuan JEPIP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59976/jurit.v2i2.106

Abstract

This study to develop a decision support system based on the Analytical Hierarchy Process (AHP) in the recruitment process of Government Employees with Work Agreements (PPPK) at SMP Negeri 1 Ukui. The background of this study is the need for a more objective, transparent, and accountable selection mechanism to reduce subjectivity in determining the passing grade for honorary teachers. The research method used a descriptive quantitative approach with data collection through observation, interviews, and paired comparison questionnaires administered to the principal, senior teachers, administrative staff, and school supervisors. The results of the analysis show that the Administration criterion received the highest weight (0.343), followed by Suitability Selection (0.535) and Interviews (0.122). In the subcriteria, the aspect of administrative document filing was the dominant factor (48%), while in suitability selection, teacher performance ranked highest (39%). Sensitivity analysis proved that the ranking results of teacher candidates were relatively stable even though the criteria weights changed. These findings confirm that AHP can minimize the subjectivity of selection and provide a quantitative basis for determining candidate priorities. This study has implications for improving the accountability of PPPK recruitment policies at the school level while opening up opportunities for the integration of hybrid methods such as AHP–TOPSIS in future research.
A Hybrid Six Sigma Dmaic and Fuzzy-FMEA Framework For Defect Reduction and Quality Enhancement In White Copra Production Fatiyah Azzahra; M. Afiq Aznan
Jurnal Riset Ilmu Teknik Vol. 2 No. 2 (2024): September
Publisher : Lembaga Penelitian dan Ilmu Pengetahuan JEPIP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59976/jurit.v2i2.113

Abstract

T This study aims to analyze the factors causing defects in white copra products using the Six Sigma (DMAIC) method integrated with Fuzzy-Failure Mode and Effect Analysis (Fuzzy-FMEA). The research method includes collecting production data, calculating Defects Per Million Opportunities (DPMO), determining the sigma level, and analyzing the root causes through cause-and-effect diagrams and risk assessment using Fuzzy-FMEA. The results show that the average sigma level of the process is at 3.63 with a DPMO value of 16,910, indicating that process performance still needs improvement. The dominant factors causing defects include unstable drying temperature, storage humidity, oven machine damage, and operator skill variation. The highest priority risks identified were drying temperature and humidity control, which directly impact the quality of the final product. The practical implications of this study are the need to implement mechanical drying with automatic temperature control, operator training programs, preventive oven maintenance, and standard operating procedures (SOPs) in quality control. This study contributes to strengthening empirical evidence of the application of DMAIC combined with Fuzzy-FMEA in agroindustry, particularly in coconut processing, and serves as a reference for improving product quality based on a quantitative and fuzzy logic approach.
Integrating Quality Function Deployment (QFD) In The Hygienic Oil-Draining Tools For Msmes: a Consumer-Centered Approach Damas Aulia Nata; Hamdan, Hamdan; Rama Haiban, Ryando
Jurnal Riset Ilmu Teknik Vol. 2 No. 2 (2024): September
Publisher : Lembaga Penelitian dan Ilmu Pengetahuan JEPIP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59976/jurit.v2i2.118

Abstract

Purpose – This study aims to design an oil-draining spinner tailored for Micro, Small, and Medium Enterprises (MSMEs) using the Quality Function Deployment (QFD) approach to ensure ergonomics, hygiene, and consumer-oriented innovation. Design– A quantitative descriptive design was applied, involving observations, interviews, and structured questionnaires with 10 MSME owners in fried food production. Consumer requirements were systematically translated into technical attributes through the House of Quality (HOQ). Reliability and validity testing were conducted, followed by concept screening and scoring to determine the optimal design. Findings – The results highlight that consumers prioritize minimalist size, multifunctionality, durability, and ease of cleaning. Correlation analysis revealed strong relationships between consumer needs and technical attributes, with system effectiveness and process stability being the most influential. Comparative evaluation of design alternatives identified a hybrid material combination of wood and heat-resistant plastic as the most feasible solution, offering balance between functionality, hygiene, and ergonomics. Practical implications – The findings provide MSMEs with a practical tool to improve food safety, durability, and competitiveness. The results also serve as a reference for policymakers in supporting MSME innovation through affordable, consumer-driven technologies. Originality/value – Unlike previous studies limited to prototypes, this research integrates consumer validation into QFD-based design, bridging gaps between technical feasibility and real-world MSME applications.
Backpropagation Neural Network Model for Predicting Spare Parts Demand Under Dynamic Industrial Conditions Devi Puspitata Sari; Lei Hou; Zong Woo Geem
Jurnal Riset Ilmu Teknik Vol. 2 No. 3 (2024): December
Publisher : Lembaga Penelitian dan Ilmu Pengetahuan JEPIP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59976/jurit.v2i3.124

Abstract

Purpose – This study aims to analyze and control spare parts inventory in pumping units at PT. XYZ using the Artificial Neural Network (ANN) method. The research addresses the challenges of surplus and shortage of spare parts, which directly affect operational continuity, production costs, and company performance. Design– A qualitative approach combined with quantitative modeling was employed. Data were collected through observation, the dataset was normalized and divided into three training-testing scenarios (70:30, 80:20, and 90:10). The ANN model with backpropagation was developed and tested using Matlab software, with accuracy evaluated through Mean Squared Error (MSE) and correlation coefficient (R). Findings – The results show that Scenario 2 (80% training and 20% testing data) provides the best balance, yielding the highest accuracy. The ANN model captured nonlinear inventory patterns, achieving very low MSE (3.1358e-12) and demonstrating predictive reliability. However, the overall correlation (R = 0.6015) indicates the need for larger datasets and model refinement to improve generalization. Practical implications – Applying ANN in inventory management helps companies minimize risks of overstock and shortages, reduce storage costs, and support reliable production planning. This contributes to supply chain resilience and enhances customer trust in operational performance. Originality – This study presents one of the first applications of ANN for spare parts inventory prediction in Indonesia’s pumping unit sector. The findings provide empirical evidence of ANN’s effectiveness and offer theoretical as well as practical contributions to the advancement of AI-based inventory management in industrial contexts.
Systematic Diagnosis of Quality Defects in Concrete Electricity Poles Through The New Seven Tools Ikrimah Hilal; Emmy Liona; Dito Ranova
Jurnal Riset Ilmu Teknik Vol. 2 No. 3 (2024): December
Publisher : Lembaga Penelitian dan Ilmu Pengetahuan JEPIP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59976/jurit.v2i3.130

Abstract

This study investigates the root causes of quality defects in concrete electrical poles produced by PT. LMN using the New Seven Tools (NST) approach. The research employs a qualitative–descriptive case study to systematically identify, categorize, and analyze defect patterns arising from human, machine, method, material, and environmental factors. Data were obtained through field observation, interviews, and documentation, then processed using the NST framework comprising Affinity Diagram, Interrelationship Diagram, Tree Diagram, Matrix Diagram, Activity Network Diagram, and Process Decision Program Chart (PDPC). The findings indicate that lack of routine supervision and insufficient machine maintenance are the dominant causal factors driving product defects, with the Man and Machine categories scoring the highest in the Matrix analysis (18 and 17, respectively). Corrective actions prioritized include implementing regular inspection schedules, preventive maintenance programs, and environmental standardization to improve workflow efficiency and reduce defect rates. Furthermore, the Activity Network analysis identifies the evaporation process as the critical path contributing to extended production time, while PDPC results underscore the importance of balancing technical feasibility with cost-effective corrective strategies. The study concludes that the integration of human resource development, process standardization, and preventive maintenance can significantly enhance product reliability and align production performance with zero-defect manufacturing principles. This research provides both theoretical and practical contributions by validating the applicability of the New Seven Tools method for comprehensive quality improvement in the Indonesian manufacturing sector.
A Taguchi-Based Framework for Continuous Quality Improvement in Crude Palm Oil Production Tengku Khoirunnisa; Chellcia Mutiara Iwfanka; Melkisedek Gumi
Jurnal Riset Ilmu Teknik Vol. 2 No. 3 (2024): December
Publisher : Lembaga Penelitian dan Ilmu Pengetahuan JEPIP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59976/jurit.v2i3.134

Abstract

Purpose – This study aims to analyze and optimize the quality of Crude Palm Oil (CPO) using the Taguchi method. The research focuses on identifying the dominant factors affecting Free Fatty Acid (FFA), moisture, and impurity content, as well as determining the optimal parameter combination to achieve consistent product quality that meets company standards. Design/methodology/approach – The study employed an experimental design based on the Taguchi method using an orthogonal array with seven factors at two levels. Data were collected from laboratory tests on CPO samples during production, focusing on FFA, moisture, and impurities. Statistical analyses included the Signal-to-Noise Ratio (S/N), Analysis of Variance (ANOVA), and confidence interval validation to identify significant factors and optimal operating conditions. Findings – The results show that factors A (fresh fruit bunch maturity) and F (sterilizer process conditions) significantly influence CPO quality, as indicated by the highest F-ratios (4.64 and 4.86) and contribution values exceeding 15%. The optimal parameter combination successfully minimized variability in FFA and impurity levels, though overall results still slightly exceeded company standards, suggesting the need for stricter control of raw material selection and processing parameters. Confidence interval analysis confirmed that the predicted mean values for FFA, moisture, and impurities were close to the specification limits, indicating potential for further refinement. Originality– This study provides empirical evidence of the Taguchi method’s applicability in the palm oil industry, particularly for improving CPO quality under real industrial constraints. The novelty lies in integrating Taguchi analysis with confidence interval verification to assess compliance robustness, offering a structured framework for continuous process improvement in CPO manufacturing.
Forecasting–Inventory Optimization Model: Integrating Exponential Smoothing with Min–Max and Blanket Order Systems For SMEs Vivi Zibade Mutiara; Erik Halomoan Syah
Jurnal Riset Ilmu Teknik Vol. 2 No. 3 (2024): December
Publisher : Lembaga Penelitian dan Ilmu Pengetahuan JEPIP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59976/jurit.v2i3.140

Abstract

Purpose –The research integrates demand forecasting using the Exponential Smoothing (ES) method to develop an adaptive and data-driven framework for cost optimization in volatile demand conditions. Methodology – A quantitative–descriptive and analytical approach was adopted by combining forecasting accuracy analysis with cost comparison modeling. Two forecasting models—Moving Average (MA) and Exponential Smoothing (ES)—were tested using 2021–2023 demand data. The most accurate model (lowest MAPE) was used to simulate inventory performance through the Min–Max and Blanket Order systems. Sensitivity analysis with ±10% demand variation was conducted to evaluate model robustness, while correlation testing validated forecast accuracy against actual demand. Findings – The Exponential Smoothing model achieved superior predictive accuracy (MAPE = 0.883%) compared with the Moving Average model (MAPE = 1.338%). The Min–Max Stock system produced lower total costs—IDR 116,269,920 (2021), IDR 123,260,400 (2022), and IDR 128,466,720 (2023)—compared with the Blanket Order system, which recorded higher and more volatile costs across the same period. The hybrid Min–Max–Forecasting approach demonstrated higher stability under demand fluctuations and improved procurement efficiency, achieving an estimated 30% cost reduction. Practical implications – This study offers SMEs an evidence-based strategy for integrating forecasting accuracy into inventory control, supporting cost reduction and production continuity in resource-constrained environments. The model can be adopted as a reference for developing adaptive inventory policies within the Indonesian SME food sector. Originality– The originality of this study lies in its hybrid integration of Exponential Smoothing forecasting within comparative Min–Max and Blanket Order frameworks, offering empirical validation for forecasting-driven inventory decisions at the SME scale. The approach provides both theoretical advancement and managerial relevance by aligning predictive accuracy with inventory cost optimization in volatile market contexts.
Sustainable GSM-Based Remote Switching System Using Conventional Mobile Phones Without Microcontroller for Low-Cost Automation Applications Ahmad Saddam Habibullah; Sutan Ali Sianipar
Jurnal Riset Ilmu Teknik Vol. 2 No. 3 (2024): December
Publisher : Lembaga Penelitian dan Ilmu Pengetahuan JEPIP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59976/jurit.v2i3.145

Abstract

The development of telecommunications-based control systems has become an alternative solution in home automation and small industries, especially in areas with limited internet access. This study aims to design and test a telephone-based electrical equipment control module that utilizes conventional mobile phones as an activation medium without the aid of a microcontroller. This system consists of a tuner block, a three-stage Darlington amplifier, a Schmitt Trigger with an optocoupler, a 555 IC multivibrator, and a relay as the main actuator. Test results show that the power supply circuit is capable of maintaining voltage stability of ±0.1 V on the 5V and 9V lines, while the tuner successfully detects electromagnetic signals with a fairly stable output voltage of 0.05–0.98 V to trigger the signal amplifier. The multivibrator circuit showed a consistent flip-flop response to logic pulses from the tuner, while the relay was able to operate mechanically in two stable conditions (ON/OFF). These findings show that analog signals from mobile phones can be effectively integrated with pure electronic circuits to produce a reliable, cost-effective, and environmentally friendly remote control system. The advantage of this research lies in the approach of reusing low-end GSM technology for internet-free automation that supports the principles of circular economy and electronic waste reduction.

Page 3 of 4 | Total Record : 40

 1   2   3   4 

Filter by Year

2023 2025


Reset
Filter By Issues
All Issue Vol. 3 No. 2 (2025): September Vol. 3 No. 1 (2025): May Vol. 2 No. 3 (2024): December Vol. 2 No. 2 (2024): September Vol. 2 No. 1 (2024): May Vol. 1 No. 3 (2023): December Vol. 1 No. 2 (2023): September Vol. 1 No. 1 (2023): May