SAINTEKS : Jurnal Sain dan Teknik

A Product Layout Design For Finished Goods Warehouse Of Instant Noodle Industry Using Systematic Layout Planning (SLP) Method

Asep Hermawan, Dedy Setyo Oetomo — Sat, 28 Mar 2026 00:00:00 +0000

Warehouse layout optimization in the food manufacturing industry remains a critical yet underexplored challenge, particularly for multi-product operations with heterogeneous storage requirements and high-throughput demands. Previous studies have predominantly focused on single-criterion evaluations or general industrial settings, leaving a notable gap in the application of comprehensive, multi-criteria Systematic Layout Planning (SLP) frameworks to finished goods warehouses in the food sector. This study addresses that gap by designing an optimal product layout for a finished goods warehouse in an instant noodle manufacturing facility with an annual production capacity of 20 million units. The SLP method was implemented through six structured phases: activity relationship analysis, space requirements determination, relationship and space diagram construction, alternative layout generation, and weighted multi-criteria quantitative evaluation. Three layout alternatives were systematically assessed using criteria encompassing material handling efficiency, space utilization, operational flexibility, and implementation cost. The U-shaped layout emerged as the optimal design, attaining the highest weighted evaluation score and demonstrating substantial reductions in material handling distance and operational cost relative to conventional linear configurations. The findings confirm that the SLP method provides a robust and replicable framework for warehouse layout optimization in multi-product food manufacturing environments, offering actionable guidance for facility planners confronting analogous operational constraints.

Development of an Internet of Things–based fabric defect recording system with automatic length measurement using a rotary encoder

Andrian Wijayono, Fahmi Fawzy Rusman, Nurfadilah Ikhsani, Reffli Ghandara — Sat, 28 Mar 2026 00:00:00 +0000

The textile industry requires efficient, accurate, and real-time quality control systems to replace paper-based inspection methods prone to errors and delays. This study develops and evaluates an Internet of Things (IoT)-based fabric defect recording system integrating a rotary encoder for length measurement, Arduino Uno as the controller, ESP32 as the communication module, a keypad for operator input, and a web-based MySQL database. The system automatically measures fabric length, records defect types, and transmits data wirelessly for real-time monitoring and management. Validation was conducted by comparing the proposed system with manual measurement and industrial inspection machines. One-Way ANOVA results show no significant difference in measurement accuracy (p = 0.865 > 0.05), with a Mean Absolute Error (MAE) of 0.0074 m, indicating high precision. Efficiency testing using a paired sample t-test shows a 79.2% reduction in recording time, from 16.8 seconds to 3.5 seconds (using digital recording system), with a significant difference (p < 0.001). The system also demonstrates reliable performance with low latency (120–150 ms), high repeatability, and zero data loss through buffering during network disruptions. These results indicate that the system improves operational efficiency while maintaining accuracy comparable to conventional methods and supports real-time integrated data management for textile industry digital transformation.

Supply Chain Optimization Footwear Products in West Java to Improve Industrial Competitiveness

Hendi Iskandar — Sat, 28 Mar 2026 00:00:00 +0000

The footwear industry in West Java is one of the largest contributors to national manufacturing exports, yet it faces persistent challenges related to supply chain inefficiency, distribution costs, and competitive vulnerability. This study proposes a quantitative supply chain optimization framework for large-scale footwear manufacturers in West Java using Linear Programming (LP) and Economic Order Quantity (EOQ) models. The objective function minimizes total supply chain cost, encompassing procurement, transportation, and inventory holding costs, subject to supply capacity, demand fulfillment, and budget constraints. Primary data were collected from four major production centers—Bandung, Garut, Bogor, and Purwakarta—representing six supplier nodes and four distribution hubs. The LP model yields an optimal distribution plan that reduces total logistics cost by 18.4% compared to the existing plan, from Rp 4,320,000,000 to Rp 3,524,160,000 per year. EOQ analysis indicates an optimal order quantity of 15,625 pairs per order cycle, reducing inventory carrying cost by 22.7%. The results confirm that the proposed optimization approach significantly improves supply chain efficiency and enhances the competitiveness of West Java's footwear industry in both domestic and global markets

Digital Consumer Behavior and Purchase Decisions on TikTok: Construction of Meaning, Social Validation, and Strategic Implications

Fitri Dewi Afiany — Sat, 28 Mar 2026 00:00:00 +0000

This study aims to explore in depth the construction of digital consumer behavior meaning in the purchase decision process on the TikTok platform following its strategic integration with Tokopedia. Using a descriptive qualitative approach with phenomenological studies, this research involved 25 informants consisting of active TikTok users from various demographic backgrounds in Indonesia. Data were collected through in-depth interviews and open-ended questionnaires which were then analyzed using data reduction, categorization, and meaning interpretation techniques based on Peter L. Berger's Social Construction of Reality theory. The research findings show that purchasing decisions on TikTok are the result of a dialectic between the externalization of trends, the objectification of digital metrics (likes, reviews, number sold), and the internalization of consumption identity. The Fear of Missing Out (FOMO) phenomenon and social validation (social proof) are proven to be the main drivers that compress traditional purchasing decision stages into an instant and emotional process. The results of this research provide strategic implications for MSME players to adopt authentic storytelling narratives to build trust in a dynamic social commerce ecosystem.

Comparative Effectiveness Of Organic Waste–Based Eco-Enzyme And Commercial Bio-Bacterial Agents In Railway Toilet Wastewater Treatment

Sat, 28 Mar 2026 00:00:00 +0000

The growing number of railway passengers in Indonesia demands improved service quality, including the provision of environmentally friendly toilet facilities. The Railway Eco-Toilet (RET) system has adopted a waste storage mechanism to reduce direct discharge into tracks or water bodies. However, the stored wastewater still requires further treatment to meet environmental quality standards. One potential alternative is eco-enzyme, a fermentation product of household organic waste that contains enzymes, organic acids, and beneficial microorganisms capable of degrading pollutants. This study aims to analyze the performance of eco-enzyme in reducing pollutants in RET wastewater and to compare it with a commercial bio-bacteria product currently applied by PT KAI. The observed parameters include Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Total Dissolved Solids (TDS), and Total Suspended Solids (TSS). The experiment was conducted by directly applying eco-enzyme to RET storage tanks with incubation periods of 10, 15, and 20 days. Samples were then analyzed in an accredited laboratory using standard water quality testing methods. The results on the 20th day showed that eco-enzyme reduced pollutant levels to BOD5 of 70 mg/L, COD of 206 mg/L, TDS of 1478 mg/L, and TSS of 14 mg/L. In comparison, the commercial bio-bacteria achieved BOD5 of 63 mg/L, COD of 204 mg/L, TDS of 1129 mg/L, and TSS of 53 mg/L. The analysis indicated that eco-enzyme performed better in reducing TSS, achieving compliance with environmental standards, whereas both treatments failed to lower BOD5 and COD to the required limits. These findings highlight the potential of eco-enzyme as an alternative for treating railway toilet wastewater. Its application could strengthen RET systems and be extended to domestic wastewater management such as household septic tanks.

Implementing Text File Data Security Using Super Encryption (Affine Cipher Algorithm and OTP)

Imay Kurniawan, Purwadi Budi Santoso, Anung — Sat, 28 Mar 2026 00:00:00 +0000

Data security is a crucial aspect, especially for confidential, personal, or strategic information. Threats such as eavesdropping and data manipulation by unauthorized parties require a robust protection system. The purpose of this research is to develop a model or application that integrates Affine Cipher and OTP for data protection and to determine the computational performance of a combined implementation of both algorithms. The cryptographic algorithm method uses super-encryption, a combination of the Affine Cipher and OTP algorithms. The resulting encryption produces ciphertext that is difficult to crack because the key length is equal to the message length and the key is generated randomly. The combination of the two algorithms was successfully implemented using the super-encryption method. Affine Cipher acts as an initial substitution layer, while OTP provides a random layer that ensures high-level confidentiality. The use of OTP effectively overcomes the main weakness of Affine Cipher against frequency analysis.

Functional Validation of an E-Commerce Website Prototype for the Digitalization of an Animal Feed MSMEs

Destya Permata Choerul, Dimas Albar Ismail, Arida Murti Martikasari — Sat, 28 Mar 2026 00:00:00 +0000

The development of digital technology has encouraged MSMEs to start adopting online sales systems to improve the efficiency of transaction management. However, some MSMEs still carry out business processes manually without the support of an intergrated system. This study aims to design and test an e-commerce website prototype as an initial model for digitization in animal feed MSMEs. This study uses a software engineering approach with the Waterfall method System Development Life Cycle (SDLC) model, which includes the stages of requirements analysis, design, implementation, and testing. The system was developed using PHP and MySQL and run on a localhost environment. Testing was conducted using the Black Box Testing method to verify the suitability of the system functions with the requirements specifications. The results of the study show that all the main features, such as product management, shopping cart, checkout process, and transaction recording, work according to the design. This study produced a functionally feasible system design as the initial stage of e-commerce system implementation in animal feed MSMEs. Further testing in an online environment and user evaluation are needed to assess the effectiveness of the system empirically.

Keywords: e-commerce, MSMEs, digitalization, website

Decision Support System and Managerial Decision Quality in Production Contexts: A Systematic Literature Review

Alam Avrianto — Sat, 28 Mar 2026 00:00:00 +0000

Globalization and digitalization have transformed production systems, requiring managers to make strategic decisions swiftly and accurately. Decision Support Systems (DSS) have emerged as technological solutions to support this process; however, studies examining their impact on managerial decision quality remain limited. This research aims to analyze and synthesize the literature on the role of DSS in enhancing managerial decision quality within modern production organizations. A Systematic Literature Review (SLR) guided by PRISMA protocols was conducted using articles published between 2015 and 2025. From an initial pool of 200 articles retrieved from Google Scholar, 50 studies met the inclusion criteria and were analyzed using bibliometric techniques, thematic analysis, and narrative synthesis. The systematic analysis reveals that most studies focus on technical aspects such as algorithmic efficiency and artificial intelligence integration, while psychological dimensions of users and managerial decision quality are rarely addressed. This study proposes a conceptual framework that integrates DSS capabilities, user interaction, and decision process quality as the foundation for developing DSS that are more adaptive and human-centered. The findings not only contribute theoretically but also highlight opportunities for future empirical research to evaluate how DSS can enhance managerial decision quality and support modern production practices.

The Effect of Dyeing Temperature on The Color and Color Fastness of Sicerek Leaves (Clausena Excavata Burm. F) on Roberto Cavali Fabric

Sat, 28 Mar 2026 00:00:00 +0000

The industry produces synthetic dye waste that has the potential to damage the environment, so that more environmentally friendly natural dye alternatives are needed. One of the plants that has the potential to be used as a source of natural dyes is the sicerek leaf (Clausena excavata Burm. F), because sicerek leaves contain flavonoid compounds that can produce color. This study aims to analyze the color names and color fastness to washing on Roberto Cavali's fabrics whose writings use sicerek leaf extract at various dyeing temperatures. The method used is the experimental method. Identification of color names was carried out by involving 18 panelists as respondents and supported by the use of the Colorblind Assistant application to assist in color determination. Meanwhile, color fastness to washing was tested using a gray scale and a staining scale according to SNI ISO standards. Data analysis used is descriptive statistical analysis and simple linear regression tests. The results of the study show (1) Differences in dyeing temperatures produce different color names, RGB values ??and hexadecimal codes at various dyeing temperatures. (2) The dyeing temperature does not have a significant effect on color fastness based on gray scale testing as proven by a simple linear regression test with a Sig. value. 0.351 > 0.05 which indicates that there is no difference or is not significant. Meanwhile, testing using a coloring scale at temperatures of 30?C, 60?C and 90?C shows a value of 4-5 with a good category for various types of multifiber including wool, acrylic, polyester, nylon, cotton and acetate. (3) The dyeing temperature of 90?C is the most optimal temperature in producing color and color fastness.

Analysis of Household Waste Generation and Composition as a Basis for Evaluation of the Waste Management System in Bangunjiwo Village, Kasihan District, Bantul Regency

Hendry Edy, Limpat Wibowo Aji — Sat, 28 Mar 2026 00:00:00 +0000

The increase in household waste generation in rural areas is a serious challenge due to population growth and changes in consumption patterns. Bangunjiwo Village, Bantul Regency, as a semi-urban area, faces increasing waste pressure, while the management capacity based on the Reduce, Reuse, and Recycle Waste Processing Site (TPS 3R) is not yet fully commensurate with the actual generation load. This study aims to analyze the generation and composition of household waste and evaluate the suitability of the TPS 3R capacity as a basis for improving the rural waste management system. The study uses a quantitative descriptive approach with an evaluative perspective based on capacity ratio analysis and service levels. Secondary data were obtained from village waste management reports and the Bantul Regency Environmental Agency for the 2018–2024 period. The analysis includes calculating per capita waste generation, waste composition, TPS 3R processing capacity, and identifying the gap between actual generation and system service capacity. The results show that the composition of waste is dominated by organic fractions (57%), followed by plastic (23%), paper (12%), and metal and glass (8%). A capacity evaluation indicates that the 3R Waste Management Sites (TPS 3R) have not been able to keep up with the total daily waste generation, resulting in service gaps and unoptimally processed residues. This study offers an integrated evaluative approach that links the characteristics of waste generation and composition with the operational capacity of the 3R TPS as a framework for assessing rural waste management systems. These findings provide a basis for data-driven planning for capacity improvement and optimization of sorting systems, and can be replicated in villages with similar characteristics to support more effective and sustainable waste management.

Digital Transformation of Production Study: An Efficiency Analysis of GI-PS System Implementation Using a Mixed Methods Approach in the Garment Industry

Saifurohman, Lukman Hidayat, Wine Regyandhea Putri — Sat, 28 Mar 2026 00:00:00 +0000

The efficiency of data management in garment production plays a critical role in supporting timely decision-making and improving overall productivity. One of the main challenges faced by garment industries is the delay in submitting production study data caused by manual data processing systems. This study aims to analyze the effect of implementing the Globalindo Intimates Production study (GI-PS) system on the speed of production study data submission at PT Globalindo Intimates. This research employed a mixed methods approach, combining quantitative and qualitative methods. Quantitative data were collected by measuring the time required to submit production study data before and after the implementation of the GI-PS system, while qualitative data were obtained through interviews with industrial engineering staff and management. The quantitative analysis used a paired sample t-test to examine differences in data submission time. The results show a significant reduction in data submission time after the implementation of the GI-PS system, indicating that the digital-based system effectively improves efficiency and accuracy in production data management. Qualitative findings further support that the system enhances workflow, reduces administrative workload, and improves coordination among departments. Therefore, the GI-PS system can be considered an effective solution to improve production study data management in the garment industry. Practically, the implementation of digital systems such as GI-PS can serve as a solution for garment companies to accelerate the flow of production information, improve the accuracy of operational decision-making, and support increased efficiency and competitiveness in an increasingly dynamic industrial environment.

Application of Forecasting and EOQ Methods as an Effort to Control Raw Material Inventory for Implora Lip Cream Products

Ni Luh Putu Hariastuti, Vegha Swastiana Widyawati — Sat, 28 Mar 2026 00:00:00 +0000

The phenomenon of the rapidly growing cosmetics industry in Indonesia aligns with Indonesia's growing population and increasingly diverse needs. Implora Sukses Abadi Company, as a cosmetics company, plays an important role in the growth of this industry through its flagship lip cream. The high consumer demand for lip cream often cannot be met due to limited supply. Therefore, the Company must plan to control inventory by applying forecasting methods to predict the amount of lip cream production in the future period. Quantitative forecasting based on historical data from lip cream production results is used, and inventory control is implemented using the economic order quantity (EOQ) method. Based on the results of this study, the exponential smoothing method was the best forecasting tool, with the smallest MSE of 453,332.6. This is supported by other error value indicators that also achieve the smallest values, such as the MAD and MAPE, at 1,226.364 and 51.613, respectively. The optimal policy for the amount of inventory control costs for each raw material was obtained: PURI of Rp. 858,724,170; raw material CSM22 of Rp. 543,696,239, BORD4 raw materials amounting to Rp. 448,740,905, SBSL raw materials amounting to Rp. 93,913,823, CPR8 raw materials amounting to Rp. 411,278,008, and BTM03 raw materials amounting to Rp. 317,308,683.

Automation of Self-Service Book Borrowing and Return System at POLMAN Bandung Library

Siti Aminah, M. Harry Khomas Saputra, M. Daffa Taufiiqulhakim — Sat, 28 Mar 2026 00:00:00 +0000

Technological developments have changed the library landscape, from traditional libraries to smart libraries. Smart libraries are libraries that use information and communication technology to improve efficiency, effectiveness, and user experience. However, the library service system in Polman Bandung has not fully utilized information and communication technology, so the service process is less than optimal. The library service system in Polman Bandung still uses a manual system, making it prone to errors in recording circulation data. The application of the Internet of Things with RFID technology can be one solution to overcome the problem of a library service system that has not been fully digitized and automated. This technology has been used in various industrial sectors, one of which is in library services, from self-checkout to book locating, so that most library services are self-service based. This study aims to develop by designing an automated book borrowing and returning system (Automated Storage & Retrieval System) to improve the efficiency and effectiveness of librarian services by digitizing services from manual to self-service that will become part of a smart library. The VDI 2206 methodology in this study can integrate the mechanical, electrical, and informatics designs needed for a self-service library service system. The results of the self-service system testing include a loan system with a success rate of 84% with an average time of 31.6 seconds per book, while the return system achieved a success rate of 88% with an average time of 47 seconds per book. This system has been proven to be able to speed up the loan process by up to 65% and returns by up to 22% compared to manual methods. These results indicate that the system is able to work stably and efficiently, and can help librarians in reducing workloads and improving the quality of library services through automation and digitalization of the book circulation process.

What drives domestic tourists' intention to stay at green hotels in West Java? Environmental attitude as a mediator

Indriana Damaianti, Siti Faizah Zainal — Sat, 28 Mar 2026 00:00:00 +0000

The rapid growth of hotels in West Java, a province with the largest number of accommodations, has raised environmental concerns due to resource consumption, waste generation, and pollution. In addition, room occupancy remains unstable, and the adoption of green hotels is still low, highlighting the need for strategies to address these ongoing challenges. This study aims to examine the factors influencing domestic tourists’ intention to stay at green hotels in West Java, with environmental attitude as a mediating variable. Data were collected from domestic tourists visiting West Java using a combination of convenience and purposive sampling. A total of 346 valid responses were analyzed using the PLS-SEM technique with SmartPLS 4.1.0.3. The findings indicate that green promotion and green perceived value positively influence environmental attitude. Only environmental attitude and green perceived value have a positive effect on the intention. In contrast, promotion does not directly affect the intention. Environmental attitude fully mediates the effect of promotion on the intention, and partially mediates the relationship between green perceived value and the intention to stay at green hotels in West Java. This study contributes to the Theory of Planned Behavior (TPB) by integrating green promotion and green perceived value to shape green consumer behavior and supports practical strategies to promote environmentally responsible consumer behavior, particularly among tourists. The limitation lies in the sample, which does not include international tourists.

Efforts to Reduce Single Needle Sewing Machine Downtime Using the Define, Measure, Analyze, Improve and Control (DMAIC) Method on Line Hangers 1-6 at PT Dekatama Centra

Tina Martina, Vicken Anastasia, Ichsan Purnama, Afriani Kusumadewi — Sat, 28 Mar 2026 00:00:00 +0000

Downtime is a condition where a machine stops operating, disrupting the smooth production process. This study was conducted to reduce the downtime rate of single-needle sewing machines at PT Dekatama Centra line hanger 1-6 using the DMAIC (Define, Measure, Analyze, Improve, Control) method. This research is quantitative and descriptive and was conducted through historical data collection for January, direct observation in the production area of ??line hanger 1-6, and recording downtime data during April 2025. The Define stage was carried out by identifying the main problem in the form of high downtime rates of single-needle sewing machines on line hanger 1-6 at PT Dekatama Centra. This was done through direct observation and discussions with the production team at PT Dekatama Centra. Furthermore, in the Measure stage, downtime data was collected and classified based on the type of abnormality. A Pareto diagram was used to determine the frequency of the largest type of damage, namely congestion caused by the accumulation of dirt on the machine, which was then further analyzed in the Analyze stage using the 5 Why's method. The results of the analysis showed that the root cause of the dominant downtime problem came from the accumulation of dirt due to the absence of written work instructions set by the company to carry out scheduled maintenance on single-needle sewing machines. In the Improve phase, several efforts were made to reduce single-needle sewing machine downtime on line hanger 1-6 at PT Dekatama Centra, including regular machine cleaning by operators using the Autonomous Maintenance concept. This included the addition of single-needle sewing machine cleaning work instructions and the dissemination of procedures to operators in early May 2025. The results of the implementation in May showed a decrease in total downtime, from 4,616 minutes in April 2025 before the improvement, to 4,184 minutes in May 2025. Based on these data, it can be concluded that single-needle sewing machine downtime on line hanger 1-6 at PT Dekatama Centra decreased by 9.4% after the improvements. In the Control phase, control measures were developed in the form of a daily maintenance checklist, filled out directly by the line manager and validated by the supervisor to ensure continuous and well-monitored improvements. This research demonstrates that the DMAIC method can be effectively applied to reduce single-needle sewing machine downtime through a systematic, data-driven approach and root cause analysis. The implementation results show a significant reduction in downtime after improvements in work methods and machine maintenance habits.

Design IoT-Based Monitoring and Water Control System for Temperature, Humidity, and Ammonia Gas Detection in Chicken Coops Using Blynk

Agung Mumahad Toha; Deri Bahtiar, Iksal Rachman; Yayan Mulyana — Sat, 28 Mar 2026 00:00:00 +0000

The poultry industry represents a high-potential sector, yet it currently faces critical challenges in maintaining stable temperature, humidity, and air quality (ammonia gas), which directly impact poultry health, as well as inefficiencies in manual water resource management. This research aims to design and implement an Internet of Things (IoT)-based system for monitoring environmental parameters and controlling water supply using the Blynk platform. The research methodology employed an experimental research and development (R&D) approach, encompassing hardware design (ESP8266, DHT22, MQ135), software development via Arduino IDE, and field testing conducted over five days with periodic data collection at four-hour intervals. The results indicate that the system successfully monitored daily average temperatures ranging from 29.2°C to 30°C (ideal for ±3-week-old broiler chickens), humidity levels between 79% and 81.4%, and real-time ammonia gas concentrations of 17.2–20.1 ppm. Furthermore, the water pump control mechanism, managed through the Blynk application via a relay module, proved effective in precisely meeting hydration requirements, supplying 83.6 ml every four hours for a population of five chickens. Final evaluations demonstrate that the system operates stably and accurately, enhancing the operational efficiency of modern and responsive poultry farming, although its performance remains highly dependent on stable internet connectivity.