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Resy Kumala Sari
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resykumalasari@jes-tm.org
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LPPM Universitas Pahlawan Tuanku Tambusai Jalan Tuanku Tambusai 23 Bangkinang, Kampar, Riau, Indonesia Kode Pos: 28411
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Journal of Engineering Science and Technology Management
Published by Universitas Pahlawan Tuanku Tambusai
ISSN : -     EISSN : 28287886     DOI : 10.31004/jestm
Core Subject : Engineering,
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering
Journal of Engineering Science and Technology Management is Jurnal Electronic that aims at the publication and dissemination of original research articles on the latest developments in all fields of engineering science and technology, including; Industrial Engineering, Mechanical Engineering, Material Engineering, Electrical and Electronics Engineering, Environmental Engineering, Civil Engineering, Management, Science, and Technology. Journal of Engineering Science and Technology Management is a International peer-reviewed journal dedicated to interchange for the results of high-quality research in all aspects of education and teaching. The journal publishes state-of-art papers in fundamental theory, experiments, and simulation, as well as applications, with a systematic proposed method, good review of previous works, expanded discussion, and concise conclusion. As our commitment to advancing education and teaching, the Journal of Engineering Science and Technology Management follows the open access policy that allows the published articles to be freely available online without any subscription.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 112 Documents
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Determination Of Delivery Routes For Food Materials At Healthy Food Brand Outlets In Bandung City Using Nearest Neighbor And Nearest Insertion Methods Yulianto, Irwan; Martikasari, Arida Murti
Journal of Engineering Science and Technology Management (JES-TM) Vol. 5 No. 2 (2025): September 2025
Publisher : Journal of Engineering Science and Technology Management

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Abstract

Efficient distribution is a critical factor in the food sales industry to ensure product quality, cost effectiveness, and customer satisfaction. The reliance on third-party online delivery services for distributing raw food ingredients has created significant logistics costs for a healthy food company in Bandung. To address this issue, the company aims to manage its own logistics using available delivery vehicles. The main challenge lies in determining the optimal delivery route that minimizes time and cost while serving an increasing number of outlets. This study applies a constructive heuristic approach to the Vehicle Routing Problem (VRP), since no prior research has examined delivery routes for this company. Constructive heuristics are chosen for their ability to provide feasible solutions that are easy and quick to implement. Two methods are employed: the Nearest Neighbor and the Nearest Insertion. The results indicate that the Nearest Neighbor method produces a total distance of 70.3 km, while the Nearest Insertion yields 68.1 km. Thus, the Nearest Insertion method achieves a shorter route by 2.2 km, equivalent to a 3.1% reduction compared with Nearest Neighbor. Based on these findings, the Nearest Insertion method is selected as the optimal route. This research provides a practical initial framework for improving logistics efficiency in food distribution and can serve as a foundation for future optimization studies.
Service Performance Analysis Using Fault Tree Analysis (FTA) at the Investment and One-Stop Integrated Services Office (Case Study in Kampar Regency) Muliani, Kurnia; Azriadi, Emon; Musridho, R. Joko
Journal of Engineering Science and Technology Management (JES-TM) Vol. 5 No. 2 (2025): September 2025
Publisher : Journal of Engineering Science and Technology Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jestm.v5i2.299

Abstract

High-quality public service performance is highly needed. However, the Investment and One- Stop Integrated Services Agency (DPMPTSP) of Kampar Regency faces challenges in the form of low service speed, as seen from the results of the 2023 Community Satisfaction Survey (SKM). This study aims to analyze the causes of delays in environmental permit services at the DPMPTSP of Kampar Regency using the Fault Tree Analysis (FTA) method. FTA is used to identify the root causes of failure and the logical relationship between the existing factors. Data was collected through interviews with officials from the DPMPTSP and the Environmental Agency (DLH) of Kampar Regency, as well as document studies. The results of the study show that the delays are caused by three main factors: (1) business actor factors, (2) Technical Regional Apparatus Organization (OPD) factors, and (3) internal DPMPTSP factors. The FTA analysis highlights that business actor factors, such as a lack of knowledge and slow feedback, are the most dominant root cause of the problem. Increased collaboration between business actors and relevant OPDs is needed to accelerate the permit process and improve community satisfaction.
Blank Spot Analysis on the Krian–Gresik Toll Road, KM 0+000–29+000 Andre Diaz Jeremiah
Journal of Engineering Science and Technology Management (JES-TM) Vol. 5 No. 2 (2025): September 2025
Publisher : Journal of Engineering Science and Technology Management

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Abstract

Transportation infrastructure safety, particularly the existence of blank spots on toll roads, has become a critical factor contributing to traffic accidents. This study aims to analyze blank spots on the Krian-Gresik toll road segment from STA 0+000 to STA 29+000 and their impact on traffic safety levels. The research employed a quantitative approach using descriptive-analytical survey methods. The population consisted of all road segments along the 29-kilometer Krian-Gresik toll road, with 25 sampling points selected through purposive sampling based on accident history and geometric conditions. Primary data collection utilized Total Station for measuring sight distances and curve radii, supplemented by visual documentation, while secondary data included 2024 accident reports. Data analysis involved descriptive statistics, correlation analysis, and spatial mapping using GIS technology. Results revealed that 91.7% of accidents occurred at locations with poor geometric characteristics, with the highest concentration at Kilometer 25 Lane A (3 cases). Temporal analysis showed 41.2% of accidents occurred during nighttime (18:00-24:00 WIB), indicating lighting factors influence driver visibility. Heavy trucks dominated accident involvement (41.2%), demonstrating correlation between high vehicle mass and complex road geometry. The study concludes that a significant relationship exists between blank spots and accident rates, necessitating enhanced lighting systems and specialized warning signs for heavy vehicles in geometrically complex areas to improve toll road safety.
Comparative Analysis of the Implementation of Management Functions in Community Health Centers (Puskesmas) Accredited as Paripurna and Madya in Kolaka Regency Mauliah, Failal Ulfi; Asriati, Asriati; Zainuddin, Asnia
Journal of Engineering Science and Technology Management (JES-TM) Vol. 5 No. 2 (2025): September 2025
Publisher : Journal of Engineering Science and Technology Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jestm.v5i2.305

Abstract

This study aims to analyze the differences in the implementation of management functions between community health centers (Puskesmas) accredited as Paripurna and those accredited as Madya in Kolaka Regency. A descriptive qualitative approach was employed using a case study method involving six Puskesmas—three with Paripurna accreditation and three with Madya accreditation. Data were collected through in-depth interviews, participatory observation, and document review. The research focused on three main management functions of Puskesmas: planning (P1), organizing and implementation (P2), and supervision, control, and performance evaluation (P3). The findings show that Paripurna Puskesmas excel in strategic planning that involves cross-sector participation and data-based decision-making. The P2 function is optimally implemented through regular coaching, inter-unit coordination, and the use of information technology. In the P3 aspect, Paripurna Puskesmas demonstrate stronger internal supervision systems and periodic evaluations of service quality. In contrast, Madya Puskesmas still face challenges such as limited human resources, lack of managerial support, and low integration of information systems. The study emphasizes that synergy among human resources, organizational culture, leadership, and local government support is a key factor for effective management function implementation in Puskesmas. The practical implication of these findings highlights the importance of structural interventions and system strengthening to enhance the readiness of Madya Puskesmas toward Paripurna accreditation. This study also contributes to the development of evidence-based primary health care policies at the regional level.
Comparative Study of Cost Significant Model and Artificial Neural Networks Methods for River Retaining Wall Cost Estimation in Grobogan Regency Panuwun, Rizky Tulus; Pratiwi Adi, Henny; Soedarsono, Soedarsono
Journal of Engineering Science and Technology Management (JES-TM) Vol. 5 No. 2 (2025): September 2025
Publisher : Journal of Engineering Science and Technology Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jestm.v5i2.306

Abstract

Grobogan Regency in Central Java Province has a high level of flood risk, so the construction of river retaining walls is an important infrastructure for disaster mitigation. The estimation of construction costs at the early planning stage plays a crucial role in budgeting and technical decision-making. This study aims to compare the accuracy and consistency of two cost estimation approaches: Cost Significant Model (CSM), based on multiple linear regression, and Artificial Neural Networks (ANN) using the backpropagation algorithm. The dataset comprises 42 Bill of Quantity (BoQ) documents (37 training data and 5 testing data), with additional validation conducted through field surveys at seven proposed retaining wall locations. Model performance was evaluated using Mean Absolute Percentage Error (MAPE) to measure accuracy and Bland–Altman Plot to assess consistency. The results indicate that CSM achieved a MAPE value of 1.70%, which is lower than that of ANN, which yielded 2.50%. The Bland–Altman analysis also shows that CSM demonstrates higher consistency, as the linear regression approach allows prediction beyond the training data range, making it more adaptive to actual conditions. In contrast, ANN tends to be constrained within the normalized training data range, reducing its flexibility when encountering new data variations. Therefore, it can be concluded that CSM performs better than ANN in terms of accuracy and consistency in estimating the construction cost of river retaining walls in Grobogan Regency.
Study of Some Nomenclature and Membership Function Using MATLAB Program Code Vairal, Kailas
Journal of Engineering Science and Technology Management (JES-TM) Vol. 5 No. 2 (2025): September 2025
Publisher : Journal of Engineering Science and Technology Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jestm.v5i2.273

Abstract

Fuzzy logic has emerged as an essential computational paradigm for addressing uncertainty and nonlinearity in engineering systems. This paper presents a comprehensive study and application of fuzzy membership functions implemented in MATLAB for system optimization and control. Various types of membership functions—triangular, trapezoidal, Gaussian, generalized bell, and sigmoidal—are analyzed based on their shape characteristics, adaptability, and computational behavior. The study further demonstrates how these functions can be effectively utilized in the design of fuzzy controllers and optimization models to enhance decision precision in nonlinear environments. MATLAB scripts are developed to generate and evaluate membership functions dynamically, providing visual and numerical comparisons of their response profiles. The results highlight that Gaussian and bell-shaped functions offer smoother transitions and higher flexibility in representing gradual changes, making them ideal for control applications. The study contributes to improving the understanding of fuzzy modelling techniques, particularly in optimizing control responses and decision systems within uncertain environments.
Identification of Urban Heat Island (UHI) in Bangkinang City Using Remote Sensing and Geographic Information System TechniquesUrban Heat Island (UHI Land Surface Temperature (LST) Citra Landsat Tri Ananda, Shella; Adeswastoto, Hanantatur; setiawan, Beny
Journal of Engineering Science and Technology Management (JES-TM) Vol. 4 No. 2 (2024): September 2024
Publisher : Journal of Engineering Science and Technology Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jestm.v4i2.314

Abstract

Bangkinang, the capital of Kampar District with an area of 177.2 km² and a population of 39,793, experiences a tropical climate that contributes to elevated surface temperatures. Increasing population, vehicle emissions, and industrial activities intensify urban heat, while limited vegetation density exacerbates the Urban Heat Island (UHI) effect. This study analyzes surface temperatures in 2021, 2022, and 2023 using Landsat 7 ETM+ and Landsat 8 OLI/TIRS data. Land Surface Temperature (LST) was calculated using the Single Channel Algorithm (SCA) method, resulting in average temperatures of 27.755°C (2021), 26.644°C (2022), and 27.130°C (2023). The Pearson correlation between LST and field temperature from BPS produced an Rxy value of 0.226, indicating a weak correlation. The UHI threshold analysis shows that the area affected by UHI decreased consistently from 2021 to 2023.
Static Stress Simulation Analysis of Skid Frame of Portable Open Waste Container Using FEA Method on SolidWorks Ulfah, Nurul; Adicita, Yosef; Ariyanto, Nugroho Pratomo; Puspita, Roza; Arifin, Nurul Laili; Wibowo, Ari; Putra, Rama Dani Eka
Journal of Engineering Science and Technology Management (JES-TM) Vol. 5 No. 2 (2025): September 2025
Publisher : Journal of Engineering Science and Technology Management

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Abstract

Portable open waste container is a traditional waste transport tool that is still widely used in various places. Skid frame is an important component in the construction of portable open waste container that serves to withstand static and dynamic loads during waste transport. Therefore, it is necessary to analyse the strength of the skid frame structure to ensure the design is able to withstand the given load. This research aims to analyse the stress distribution, deformation, and safety factor of the portable open waste container skid frame using the Finite Element Analysis method in Solidworks software. The analysis results show that the maximum stress that occurs in the skid frame is 249.921 MPa which almost reaches the yield stress of ASTM A36 steel material, which is 250 MPa, with a maximum deformation of 20.544 mm, and a minimum safety factor of 0.6. Based on these results, it can be concluded that the skid frame design needs to be optimised to improve the durability of the structure and safety during operation
Wirosari Bus Terminal Performance Analysis Based on Facility Availability and Optimization Through Internet of Things (IoT) Technology Irawan, Arie; Mudiyono, Rachmat; Pratikso, Pratikso
Journal of Engineering Science and Technology Management (JES-TM) Vol. 5 No. 2 (2025): September 2025
Publisher : Journal of Engineering Science and Technology Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jestm.v5i2.316

Abstract

Wirosari Bus Terminal, a Type-C terminal located in Grobogan Regency, plays a crucial role in supporting rural mobility. However, underutilization and non-compliance with Indonesia's Minimum Service Standards (SPM) have significantly hampered its performance. This study evaluates the availability and quality of terminal facilities and proposes a technological optimization model based on the Internet of Things (IoT). Using a quantitative research design, 92 respondents including users, operators, and terminal staff were surveyed. The data were analyzed through multiple linear regression to determine the influence of facility availability (X₁) and technology perception (X₂) on terminal performance (Y). Results indicate that perceived facility availability is low (mean = 2.70), while technology acceptance is high (mean = 4.68). The regression model reveals that both variables significantly affect terminal performance (R² = 0.284, p < 0.05). This study concludes that enhancing physical infrastructure combined with IoT-based digital innovations such as real-time scheduling displays, electronic queuing, and sensor-based monitoring can significantly improve terminal functionality, user satisfaction, and operational transparency, especially in rural contexts.
The Role of Motivation in Mediating the Influence of Communication and Work Environment on Employee Performance at PT Agung Automall Sutomo, Pekanbaru City Teguh Handoyo, Leonardus; Zulfitri, Zulfitri; Andriani, Dessy; Suleman Hsb, Mhd.; Suryatunnisak, Suryatunnisak
Journal of Engineering Science and Technology Management (JES-TM) Vol. 5 No. 2 (2025): September 2025
Publisher : Journal of Engineering Science and Technology Management

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Abstract

This study is a quantitative study that aims to determine the role of motivation in mediating the influence of communication and work environment on the performance of employees at PT Agung Automall Sutomo in Pekanbaru City. The population used in this study was all 125 employees of PT Agung Automall Pekanbaru. To determine the sample size for this study, the author used the Slovin formula, resulting in 96 employees as the sample, while the sampling method used was simple random sampling. The data analysis technique used was quantitative analysis using Structural Equation Modelling (SEM) with the Smart PLS program. The results of the study are as follows: 1) Communication and work environment have a positive and significant effect on employee motivation. 2) The work environment has a positive and significant effect on employee motivation. 3) Communication has a positive and significant effect on employee performance. 4) The work environment has a positive and significant effect on employee performance. 5) Motivation has a positive and significant effect on employee performance. 6) Communication affects employee performance through motivation. 7) The work environment affects employee performance through motivation.

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