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Journal Industrial Servicess
Published by Universitas Sultan Ageng Tirtayasa
ISSN : 24610623     EISSN : 24610631     DOI : -
Core Subject : Economy, Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation
Jurnal Industrial Servicess merupakan wadah bagi peneliti untuk publikasi jurnal hasil penelitian yang ruang lingkupnya melingkupi: Logistics & Supply Chain Management Operations Research Quality, Reliability, and Maintenance Management Data Mining & Artificial Intelligence Production Planning & Inventory Control Ergonomics & Human Factors Information Systems & Technology Service Management Sustainability Human Resources Economic
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 458 Documents
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Optimizing centrifugal water pump design for enhanced water use efficiency in Batam Marina Plantations Asmarawati, Citra Indah; Wibowo, Sadiq Ardo; Gumilang, Reno Reza
Journal Industrial Servicess Vol 11, No 1 (2025): April 2025
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v11i1.26485

Abstract

Water demand in the plantation area has been increasing by 6% per year due to population growth, making the existing main water pump insufficient. To address this, a new centrifugal pump was designed with a focus on efficiency and ease of assembly using the Design for Manufacture and Assembly (DFMA) method and the French design analysis method. This study aims to develop an optimal pump design with an estimated service life of over five years, ensuring a reliable and sustainable water supply for the plantation area. The DFMA analysis showed that the design efficiency index improved from 0.30% in the current design to 0.77% in the alternative design—an increase of 0.47%. The alternative design was chosen because it offers faster assembly, lower costs, and fewer components compared to the existing model. Beyond improving efficiency, the optimized centrifugal pump is expected to last more than five years. This durability is supported by using corrosion-resistant grade 316 stainless steel for key components, material strength tests through finite element analysis (FEA) simulations under maximum operating conditions, and fatigue testing on the impeller, which confirmed its ability to withstand repeated use.
Research trends on business strategy formulation: A systematic literature review and bibliometric analysis Rahman, Arif; Dewayana, Triwulandari Satitidjati; Maulidya, Rahmi; Arafah, Willy
Journal Industrial Servicess Vol 11, No 1 (2025): April 2025
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v11i1.29936

Abstract

Survival in the modern technological landscape demands an effective competitive strategy for every industry, and the offset printing sector is no exception. This study explores trends and future research opportunities in strategy formulation within this specific industry. We utilized a Systematic Literature Review (SLR) methodology complemented by bibliometric analysis. Relevant literature was gathered from sources such as Sciencedirect.com and Publish or Perish version 8, using keywords like "models," "formulation strategies," and "offset printing." Our initial search covered 1,000 articles published between 2014 and 2024. Through a careful screening process, we selected 50 key articles for in-depth evaluation, focusing on their theoretical approaches, applied models, and research methodologies. The analysis revealed two main research streams: quantitative studies often using meta-analysis, and qualitative studies employing comparative cases or in-depth interviews. The field shows diverse models for strategy formulation. Based on our review, we identify 3D printing technology and business model innovation as significant avenues for future research. The bibliometric findings also strongly suggest that offset printing companies should explore integrating new technologies, such as 3D printing, and adopt more flexible, adaptive business models to maintain a competitive edge in today's rapidly changing market.
Work hazards at workstations in the leather tanning industry using the Hazard Identification and Risk Assessment (HIRA) method Henny, Henny; Budi, Agus Heri Setya; Aditya, Muhammad; Sumaryatno, Denmas Adityo; Mariawati, Ade Sri
Journal Industrial Servicess Vol 10, No 2 (2024): October 2024
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v10i2.28760

Abstract

In the Indonesian manufacturing industry, potential hazards and work-related risks are prevalent, often resulting from worker negligence or unforeseen incidents. To address these issues, companies must enhance risk management strategies based on occupational safety and health principles. This study aims to identify hazards and assess work-related risks at workstations in Department C of the leather tanning industry using primary and secondary data. Primary data were collected directly from the production floor, while secondary data were obtained from company records. The risk assessment classified hazards into four categories: Extreme (E), High (H), Moderate (M), and Low (L), based on severity and likelihood. The findings identified potential physical, chemical, and ergonomic hazards, with three high-risk activities, five medium-risk activities, and two low-risk activities. To mitigate these risks, control measures such as personal protective equipment (PPE), warning signs, Material Safety Data Sheets (MSDS), and strict adherence to company regulations should be implemented. These preventive actions are expected to reduce high- and medium-risk activities to lower risk levels, ultimately minimizing workplace accidents.
Integrating sustainable practices in chili processing enterprises: A literature review Hidayatullah, Anung Andi; Fatlianaa, Anggun Nindy; Umyati, Ani
Journal Industrial Servicess Vol 10, No 2 (2024): October 2024
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v10i2.28574

Abstract

This study explores the integration of sustainability principles in Micro, Small, and Medium Enterprises (MSMEs), focusing on chili processing enterprises in Garut Regency. Using a systematic literature review, it analyzes 60 scholarly articles to provide a comprehensive overview of strategies for embedding economic, environmental, and social aspects into MSME operations. The findings emphasize the crucial role of clearly defined responsibilities and collaboration among various stakeholders, including business managers, government agencies, educational institutions, local farmers, and the broader community. The study highlights how these stakeholders can work together to foster a sustainable business environment that enhances profitability while promoting environmental conservation and social welfare. By offering a conceptual framework, this research addresses a significant gap in the literature on sustainable practices in the agricultural processing sector, providing practical insights and recommendations for MSMEs. This holistic approach ensures that these enterprises achieve long-term sustainability while meeting the economic, environmental, and social goals essential for their growth and competitiveness.
Application of heuristic algorithms in warehouse order picking routes Purwanto, Cipto; Oktarina, Rienna
Journal Industrial Servicess Vol 10, No 2 (2024): October 2024
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v10i2.28595

Abstract

Order picking is a costly activity in warehouse operations, accounting for up to 65% of total warehouse operational costs. This study aims to improve the efficiency and productivity of the order picking process in a warehouse by applying two heuristic methods, namely the S-Shape and aisle-by-aisle approaches. Data were processed using InterActive Freight & Warehouse software, which is designed for warehousing and logistics management with interactive features that assist in optimizing order picking routes. The software employs heuristic methods, such as the S-Shape and aisle-by-aisle strategies, to reduce the distance workers travel to pick goods. The results show that the S-Shape method significantly reduces workers' travel distance compared to other methods. Thus, the application of heuristic methods in optimizing order picking routes proves effective in enhancing warehouse operational efficiency. The S-Shape method yields an average total distance traveled of 678.729 meters, while the aisle-by-aisle method results in 684.04 meters. Additionally, the S-Shape method increases line order productivity from 30 lines of orders per packing list to 84 lines of orders per packing list, with a cycle time of 45.25 seconds to complete the picking process for one line of orders.
Improving press machine efficiency using a TPM approach and Six Big Losses analysis Supriyati, Supriyati; Wiyatno, Tri Ngudi
Journal Industrial Servicess Vol 10, No 2 (2024): October 2024
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v10i2.28344

Abstract

This study aims to improve the efficiency of press machines in the food manufacturing industry by implementing the Total Productive Maintenance (TPM) method and analyzing the Six Big Losses. The main issues identified include high downtime, excessive vibrations, and machine component failures, all of which negatively impact production efficiency. This research measures Overall Equipment Effectiveness (OEE) based on three key parameters: availability, performance, and quality. The results indicate that the average OEE is 84%, which falls below the 85% standard recommended by the Japan Institute of Plant Maintenance (JIPM). The primary causes of low efficiency are idling and minor stoppages (48%) and equipment failures (28%), both of which are influenced by a lack of preventive maintenance and errors in machine settings. A fishbone diagram analysis identifies the key factors contributing to inefficiency. To enhance machine effectiveness and reduce waste, a more optimized TPM implementation is recommended, focusing on Autonomous Maintenance and Preventive Maintenance. This study confirms that applying TPM and OEE can optimize production performance and improve the competitiveness of the manufacturing industry through enhanced maintenance systems and machine efficiency.
Optimization of compressive strength for Aceh Besar traditional bricks using Box-Behnken design Arifin, Riski; Rahmawati, Sri; Annisa, Sitti
Journal Industrial Servicess Vol 11, No 1 (2025): April 2025
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v11i1.29638

Abstract

Traditional brick production in Aceh Besar remains inconsistent in quality, particularly regarding compressive strength, which often does not meet the minimum requirement set by the Indonesian National Standard (SNI 15-2094:2000). This inconsistency is mainly due to the absence of standardized raw material formulations and controlled production methods. This study aims to determine the optimal combination of production variables to improve the compressive strength of traditional bricks. To solve this problem, the Response Surface Methodology (RSM) with a Box Behnken Design was employed to examine five key factors: clay, sand, water, drying time, and firing duration. A total of 46 experimental trials were conducted based on the design matrix. The results show that clay and water significantly affect compressive strength, while sand, drying time, and firing duration do not significantly impact. The optimal combination—1600 grams of clay, 600 grams of sand, 600 ml of water, 15 days of drying, and 94 hours of firing—produced a compressive strength of 76.141 kgf/cm². These findings contribute to improving traditional brick production by offering a data-driven approach to achieving higher quality and compliance with national standards.
Safety improvement through root cause analysis and hazard control in lift installation Gurning, Valentino Bernardus; Safitri, Dian Mardi
Journal Industrial Servicess Vol 11, No 1 (2025): April 2025
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v11i1.29734

Abstract

The performance of construction projects is evaluated based on the effectiveness and efficiency of project completion, considering cost, schedule, quality, and safety. Elevator installation work is classified as high-risk and poses a potential for fatalities if safety protocols are not followed. To address these critical safety challenges, this research aims to control hazards and propose solutions using the Root Cause Analysis and Hazard Control approach. This approach involves identifying the hazard, assessing its source, and implementing interventions and controls to enhance work safety. Based on the analysis of alternative solutions, administrative controls and personal protective equipment (PPE) are prioritized, accounting for 31.8% of the measures to improve work safety. However, elimination and substitution measures, at 18.2%, are also critical to achieving higher safety standards. This research has limitations, including project delays during the research process, which necessitate further development to identify unaddressed risks.
Determination of stock in inbound logistics based on optimal order quantity through Smart Application for Chicken Egg Stock (SAFCES) Hidayat, Agung Prayudha; Santosa, Sesar Husen; Siskandar, Ridwan; Dardanella, Derry; Ferdinant, Putro Ferro
Journal Industrial Servicess Vol 11, No 1 (2025): April 2025
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v11i1.30887

Abstract

Ensuring a stable supply of chicken eggs to meet fluctuating market demand is essential for maintaining market stability and trader profitability. To address this challenge, the Smart Application for Chicken Egg Stock (SAFCES) was developed to optimize storage capacity for chicken eggs, extending beyond the traditional focus on determining order quantities. By employing a fuzzy logic approach, SAFCES accurately calculates the optimal order quantity and establishes minimum and maximum stock levels (Min-Max) to ensure consistent maintenance of ideal storage capacity. This innovative application enhances decision-making by providing traders with real-time insights into stock requirements, enabling them to adapt swiftly to demand variations. The implementation of SAFCES successfully supports traders in sustaining optimal stock levels, meeting both order and safety stock requirements, and keeping inventory within the desired thresholds. Furthermore, SAFCES promotes operational efficiency by reducing stockouts and overstocking, ultimately contributing to a more resilient supply chain for chicken eggs in dynamic market conditions.
A regression-based model of MSME strategy effectiveness during and beyond the COVID-19 crisis Trenggonowati, Dyah Lintang; Katili, Putiri Bhuana; Singgih, Moses Laksono; Ridwan, Asep
Journal Industrial Servicess Vol 11, No 1 (2025): April 2025
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v11i1.29644

Abstract

The COVID-19 pandemic has triggered a profound global economic crisis, disproportionately affecting Micro, Small, and Medium-Sized Enterprises (MSMEs) in developing countries such as Indonesia. Unlike previous economic shocks—such as the 1998 Asian Financial Crisis and the 2008 Global Recession—where MSMEs served as economic buffers, the pandemic exposed structural vulnerabilities in digital readiness, innovation capacity, and operational resilience. This study aims to empirically model the effectiveness of MSMEs’ strategic responses during crisis conditions using a multiple linear regression framework. Data were collected from 300 MSMEs across Indonesia through structured questionnaires, followed by classical assumption testing and regression analysis. The model includes six strategic variables: production activities, innovation, rebate strategies, business planning, e-commerce utilization, and product reliability. The results indicate that innovation, e-commerce, and product reliability significantly contribute to MSME effectiveness during disruption. The adjusted  value of 0.147 suggests moderate explanatory power, with potential for future research to examine broader environmental and policy-related variables. This study extends the existing literature by quantitatively identifying key strategic factors that foster MSME resilience—offering not only pandemic-era insights but also long-term guidance for post-crisis adaptation and preparedness. The findings provide a foundation for evidence-based policymaking aimed at enhancing MSME agility, sustainability, and crisis resistance in both current and future contexts.

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