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TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Published by Universitas Muhammadiyah Cileungsi
ISSN : 20873336     EISSN : 27214729     DOI : https://doi.org/10.37373/tekno.v13i2
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Aim and Scope Aim The aim of this journal publication is to disseminate the fundamental ideas or ideas that have been accomplished and the study findings in technology, science and informatics. In terms of community sector study outcomes, the Journal of Technoscience primarily reports on the main issues. Scope Science issues Scopes related to this topic include: Agriculture, Climate, Mathematics & Statistics, Applied Physics, Fundamental Science in Engineering, Bioscience & Biotechnology. Engineering and Technology issues Scopes related to this topic include: Mechanical & Structures, Electrical, Communications & Systems, Fuel and Energy, Material, Termal Management, Safety System and Technology, Maintenance Technology, Automotive . Information and Technology issues Scopes related to this topic include: Artificial Intelligence, Computer Science, E-learning & Curriculum, Information Science, Multimedia, Science Technologies, Information Networks, Internet & Mobile Computing, Machine Learning, Information Science.
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Articles 222 Documents
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Implementing A Lean Six Sigma–Based digital dashboard to improve cutting tool management in machining production Dzulfikar Arifuddin; Gembong Baskoro; Filiana Santoso
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 13 No 2 (2026): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK- Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v13i2.2137

Abstract

Cutting tool management directly affects machining performance, production continuity, and inventory control in manufacturing systems. In many machining environments, particularly within Southeast Asian automotive component production, tool monitoring and decision-making remain dependent on manual records and fragmented data sources, leading to inconsistent replacement practices, inaccurate inventory levels, and limited process visibility. This study examines the implementation of a Lean Six Sigma–based digital dashboard to improve cutting tool management in a machining production line using the DMAIC (Define–Measure–Analyze–Improve–Control) framework. Data were collected through focus group discussions and questionnaires involving operators, engineers, and supervisors, while root causes were identified using fishbone analysis and Failure Mode and Effects Analysis (FMEA). Based on the analysis, a digital dashboard was developed to support real-time monitoring of tool usage, replacement activities, and inventory status. The results show measurable operational improvements, including a 27% reduction in tool replacement time, an increase in inventory accuracy from 82% to 96%, an 18% improvement in tool life, and a 23% reduction in downtime related to tool replacement. This study contributes to the literature by providing empirical evidence from an actual shop-floor implementation, demonstrating how the integration of Lean Six Sigma and digital dashboards can enhance operational control in machining production environments. The proposed approach is applicable to similar machining systems seeking improved efficiency and inventory performance.
Optimization of bolen production profits at Kes's Bakery Jambi using the simplex method based on Lindo software Desta Dwi Ayu Lestari; Sisca Octarina; Fitri Maya Puspita
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 13 No 2 (2026): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK- Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v13i2.2290

Abstract

Kes's Bakery Jambi faces challenges in selecting the most appropriate production strategy for two types of bolen, namely chocolate bolen and durian bolen, in order to maximize profits. Determining the production quantity must consider the limitations of raw materials such as flour, eggs, butter, chocolate, and durian, so it cannot be done haphazardly. This study aims to find the optimal combination of bolen production quantities to maximize profits while still considering the limitations of existing resources. The method applied is a linear program with a simplex approach. The data analyzed in this study include seven main data, namely the raw material requirements per product unit (flour, eggs, butter, chocolate, and durian), the selling price of each product, and the amount of raw material inventory available at Kes's Bakery Jambi. The analysis was conducted using the simplex method and implemented through LINDO software to obtain faster and more accurate calculation results. The research findings indicate that the optimal solution is obtained by producing 25 units of chocolate bolen and 16 units of durian bolen, resulting in the highest profit of Rp1,355. 000. These findings indicate that the application of optimization models can improve the efficiency of raw material use and support better production decisions.
Mapping stunting in Bogor Regency using Web GIS to support the prevention of child growth disorders Nurkholis; Pria Sukamto
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 13 No 2 (2026): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK- Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v13i2.2317

Abstract

Stunting is a chronic nutritional problem that impacts children's physical growth and cognitive development. Although the prevalence of stunting in Bogor Regency shows a downward trend, the distribution of cases across sub-districts remains uneven. This study aims to develop a Web Geographic Information System (Web GIS) application to map and visualize the distribution of stunting based on aggregate data per sub-district. The method used is applied research with a descriptive approach and spatial analysis. This method integrates spatial data on administrative boundaries and non-spatial data on stunting prevalence in 2025 into a web-based system using the Leaflet JavaScript Library. The results show that the system is capable of presenting statistical dashboards, interactive thematic maps, and structured data tables. Classification of stunting levels is carried out using percentage intervals into three categories: low (<5%), moderate (5–7%), and high (>7%). The resulting spatial visualization facilitates the identification of priority areas for treatment more quickly and accurately. Thus, this Web GIS implementation contributes as a spatial-based decision-making support tool in efforts to accelerate stunting reduction.
Design and analysis of refrigerator cooling load for fruit and vegetable storage in tropical climate Kahfi Alwi Kasim; Boni Sena; Oleh; M. Keitaro Ramadhan; Alwi Azwar Anas; Angga Muhamad Najib
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 13 No 2 (2026): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK- Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v13i2.2320

Abstract

This study proposes a domestic refrigerator design based on Phase Change Material (PCM) integration to improve fruit and vegetable storage performance in tropical climates with high temperature and humidity. The study was conducted in two representative conditions, namely Karawang (high temperature) and Banjarmasin (high humidity). The methodology includes thermodynamic-based cooling load analysis (transmission, product, and infiltration load), the use of BMKG climatology data, and three-dimensional geometric modeling using SolidWorks. A 15 mm thick RT4/RT5 PCM was integrated into the cabinet wall as a thermal buffer to reduce temperature fluctuations. The results show that the total cooling load is 103.58 W (Karawang) and 102.42 W (Banjarmasin), respectively, with transmission load dominating at high temperature conditions and a 7.5% increase in latent infiltration load at high humidity conditions. The system is then designed using a 1/8 HP compressor with R134a refrigerant, resulting in a theoretical COP of 3.59. The key findings demonstrate that the integration of PCM into a hybrid wall structure is effective in stabilizing internal temperatures and improving the system's resilience to variations in environmental thermal loads. This approach provides a relevant design contribution to the development of domestic refrigerators in extreme tropical regions
Structural performance evaluation of an excavator under variations of static loading using the finite element method Reson Wibowo; Nurjaya; Zaenal Aripin
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 13 No 2 (2026): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK- Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v13i2.2276

Abstract

The excavator bucket is a primary working component is a primary working component of heavy equipment that is subjected to repetitive static and dynamic loading during operation. Therefore, an adequate structural performance evaluation is required to ensure safety and operational reliability. This study evaluates the stress distribution, displacement, and safety factor of an excavator bucket structure using the Finite Element Method (FEM). A three-dimensional bucket model was developed using FEM-based numerical simulation software, with ASTM A36 structural steel assumed as the material. Static load variations of 196 N, 392 N, and 588 N (converted from 20 kg, 40 kg, and 60 kg using gravitational acceleration of 9.81 m/s²) were applied uniformly to the bucket, while fixed boundary conditions were imposed at the bucket–arm connection. The simulation results show that increasing load levels lead to a significant increase in Von Mises stress and maximum displacement, accompanied by a reduction in the safety factor. The results indicate that under load levels of 392 N and 588 N, the maximum Von Mises stress exceeds the yield strength of ASTM A36 steel (248.23 MPa), indicating plastic deformation and structurally unsafe conditions, the highest load condition indicates that the structure approaches a critical operating state. The results of this study provide a technical basis for evaluating and improving excavator bucket structural design to enhance safety and durability.
The contribution of geothermal power plants to greenhouse gas emission reduction in Indonesia toward the 2030 target Hudany Wantoko; Muhammad Husen Hatala; Pimpin Hutasoit
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 13 No 2 (2026): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK- Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v13i2.2323

Abstract

Indonesia has committed to reducing greenhouse gas emissions by 29%, equivalent to 834 million tons of CO₂, by 2030, with the energy sector expected to contribute 314 million tons of CO₂ reductions. Increasing the share of New and Renewable Energy (NRE), particularly geothermal power plants (PLTP), is a key strategy to achieve this target. As of 2022, the installed geothermal capacity accounts for only 7.8% (2,224.61 MW) of the total estimated potential of 28,500 MW. This study highlights that geothermal power plants generate emissions of approximately 126.2 gCO2e/kWh, which is significantly lower than coal-fired power plants, with emissions of around 1,050 gCO2e/kWh. If the planned geothermal capacity of 5,529 MW is realized by 2030, it could potentially reduce emissions by approximately 23.2 million tons of CO2e annually. However, the current NRE share remains at 11.5%, below the national targets of 23% by 2025 and 31% by 2030. Therefore, accelerating geothermal development is essential, with modular geothermal technology offering a promising solution to support the achievement of Indonesia’s emission reduction targets.
Quality control of bagged cement in the bagged factory unit of PT X’s Rafkie Aulya; Ahmad Syafruddin Indrapriyatna; Ardhian Agung Yulianto
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 13 No 2 (2026): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK- Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v13i2.2338

Abstract

PT X is one of the oldest and leading cement producers in Indonesia which was founded on March 18, 1910. In supporting business operations and product marketing using bag/zak packaging, PT X produces bag bags in the Bag Factory Unit. Bag production operations are carried out on 2 production lines. Line III has been operating since 1999 and Line IV in 2010. Production operational data in 2024 shows that there is a difference in the percentage of rejects of 0.43%, where line III production rejects are 0.58% (4.47σ) and line IV is 1.01% (3.95σ). The significance test using the Independent Sample T-Test method obtained a P-Value of 0.026 which means there is a significant difference in the two production lines. The quality control method used is the Six Sigma method with the DMAIC (Define, Measure, Analyze, Improve, Control) framework, this methodology is based on data and statistics designed to reduce and control process variations. The analysis was conducted by determining priority problems using a Pareto Diagram, analyzing root causes using a Fishbone Diagram, and FMEA (Failure Mode and Effect Analysis) to prioritize improvements based on the Risk Priority Number (RPN) value. The analysis revealed three dominant types of defects: bag folds (33.36%), bag glue (25.99%), and bag valves (21.38%), all of which occurred on the bottomer machine, with an accumulated incidence of 80.74%. The FMEA analysis indicated that the root cause of the problem was caused by suboptimal machine settings and limited operator competence. As a preventative measure, the author created a checklist for operational equipment conditions to ensure proper control of the factors causing product defects. The improvement results showed a 26.33% increase in the sigma value to 4.99σ.
Integration of RULA and REBA methods in material handling processes with tool manufacturing at PT XYZ Oki Widhi Nugroho; Aditya Ferdy Alamsyah; Ade Irpan Sabilah
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 13 No 2 (2026): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK- Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v13i2.2350

Abstract

Construction projects, in their operations, face numerous risks of work accidents, ranging from minor to severe. Workers are less aware of the importance of using PPE, so violations of OHS requirements are still often found by workers, even though they have implemented OSHMS. This study aims to evaluate ergonomic risks in manual material handling and propose ergonomic aids to reduce these risks in construction projects. The method used in this study is a gap analysis of the OHS control dashboard approach. The results of the study obtained the results of the implementation of OHS in construction projects on the dashboard at 82.14%, which means that workers or organisations are ready to comply with OHS requirements standards. In the measurement and monitoring of OHS in construction projects, it was found that the number of OHS violators was 5 people out of a total of 28 workers who were working at that time. The OHS dashboard content consists of the results of questions related to safe work requirements such as PPE, equipment and materials, procedures and controls, and the work environment. The researcher hopes that the method, as demonstrated in the results of this study, can be applied and further developed.
Optimizing the availability of high frequency precision quenching machines through the overall equipment effectiveness approach at PT XYZ Arif Nuryono; Yuri Delano Regent Montororing; Andika Risky Wijaya; Hibarkah Kurnia
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 13 No 2 (2026): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK- Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v13i2.2355

Abstract

One of the Automotive companies that uses a High Frequency Precision Quenching (HFPQ) machine experiences a high downtime problem of 71.27%, which causes a low availability value of 80.10%, which is still below the world-class standard of 90%. so that production targets are not achieved optimally. This study aims to analyze the effectiveness level of the HFPQ machine and identify the factors causing low availability to increase the Overall Equipment Effectiveness (OEE) value. The research method uses an analytical integration approach with the OEE method, Six Big Losses (SBL) analysis, and other methods. The results show that the HPPQ machine's availability value before improvement was 80.10%, after improvement it increased by 92.25%, meaning an increase of 12.15%. The largest losses were caused by downtime losses and setup losses, totaling 37,640 minutes over a 6-month period. This condition resulted in availability being the dominant contributor to OEE losses, with a value of approximately 71.27%. Based on the proposed improvements, the availability increased by 92.25%, meaning an increase of 12.15%, while the OEE value improved from 70.39% to 86.07% or an increase of 15.68% after implementing maintenance improvements. This research is expected to provide a basis for improving the machine maintenance system in order to enhance the effectiveness and productivity of the company.
Determinants of in-house food ordering application success: Empirical evidence from restaurant X Sulistiowati; Junaid Yousaf; Titik Lusiani; Yosef Richo Adrianto; Nunuk Wahyuningtyas
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 13 No 2 (2026): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK- Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v13i2.2360

Abstract

Restaurant X faces the challenge of low self-ordering application adoption compared to third-party platforms, despite implementing an omnichannel strategy. This study aims to evaluate the success of the application's adoption using the DeLone & McLean model. A quantitative method was employed, involving 115 respondents, and analyzed using Structural Equation Modeling (SEM-PLS). The model examines the impact of system quality, information quality, and service quality on use, user satisfaction, and perceived usefulness. The results indicate that information quality and system quality significantly influence both use and user satisfaction (p < 0.05). Conversely, service quality has no significant effect (p > 0.05), suggesting that users prioritize technical stability and data accuracy over personal service support within the self-owned application context. Use and satisfaction were found to significantly enhance perceived usefulness. Predictive Relevance (Q2) values ranging from 0.616 to 0.667 confirm the model's solid predictive power. The study concludes that the application's success depends heavily on technical reliability and product information accuracy. Management is advised to prioritize system stability and real-time data updates to improve the application's competitiveness against rival platforms.

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