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Indonesian Journal of Innovation Studies
Published by Universitas Muhammadiyah Sidoarjo
ISSN : -     EISSN : 25989936     DOI : https://doi.org/10.21070/ijins.v17i
Core Subject : Science, Education, Social, Engineering,
Computer Science & IT Education Engineering Law, Crime, Criminology & Criminal Justice
Indonesian Journal of Innovation Studies (IJINS) is a peer-reviewed journal published by Universitas Muhammadiyah Sidoarjo four times a year. This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.This journal aims is to provide a place for academics and practitioners to publish original research and review articles. The articles basically contains any topics concerning new innovation on all aspects. IJINS is available in online version. Language used in this journal is Indonesia or English.
Arjuna Subject : Umum - Umum
Articles 981 Documents
 92   93   94   95   96 
ABC–FSN Min–Max Method to Reduce Lubricating Oil Inventory Cost: Metode Min–Max ABC–FSN untuk Mengurangi Biaya Persediaan Oli Pelumas Armevia, Nazwa Rifqi; Aryanny, Enny
Indonesian Journal of Innovation Studies Vol. 27 No. 2 (2026): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i2.1957

Abstract

General Background: Inventory control is a critical operational function to maintain cost efficiency and balance between stockout and overstock conditions in spare parts management. Specific Background: PT XYZ, a port heavy equipment spare parts provider, experienced excessive lubricating oil orders, leading to overstock levels of up to 21.2% and increased total inventory costs. Knowledge Gap: Prior studies on ABC–FSN and min–max stock primarily rely on historical data, resulting in static inventory parameters that insufficiently address future demand fluctuations. Aims: This study aims to control lubricating oil inventory by integrating ABC–FSN classification, min–max stock policy, and time series forecasting to minimize total inventory costs. Results: ABC–FSN analysis identified two Fast-A items, CC-0442 and CC-0444, as priority products. The company’s method generated total inventory costs of Rp 22,195,200, whereas the min–max stock method reduced costs to Rp 16,936,576, yielding savings of Rp 5,258,624 (23.69%). Forecasting for January–December 2026 produced average monthly demands of 2,439 liters for CC-0442 and 1,413 liters for CC-0444, resulting in order quantities of 1,000 liters every 8 days and 600 liters every 9 days, with projected total costs of Rp 15,416,000. Novelty: The integration of ABC–FSN classification with forecasting-based min–max parameters provides a more adaptive inventory control framework. Implications: The proposed approach supports systematic prioritization, cost minimization, and responsive inventory planning for lubricating oil management. Highlights: Fast-A prioritization identified CC-0442 and CC-0444 as critical high-turnover, high-value items. Cost comparison revealed savings of Rp 5,258,624 (23.69%) versus the existing practice. Forecast-based planning established 8-day and 9-day replenishment cycles for 2026. Keywords: ABC-FSN, Forecasting, Inventory Control, Min Max Stock
Lagrange Multiplier Inventory Optimization for Constrained Head Truck and Crane Tire Warehousing: Optimalisasi Persediaan Ban Head Truck dan Crane pada Gudang dengan Keterbatasan Kapasitas Menggunakan Metode Lagrange Multiplier Syahputra, Rangga Dhika; Aryanny, Enny
Indonesian Journal of Innovation Studies Vol. 27 No. 2 (2026): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i2.1958

Abstract

General Background: Inventory management in multi-item systems with limited warehouse capacity requires mathematical optimization to control ordering and holding costs while maintaining operational continuity. Specific Background: PT XYZ, a supplier of port heavy equipment spare parts, experienced overstock of head truck and crane tires due to fluctuating demand and a warehouse capacity limited to 25 m³, resulting in total inventory costs of Rp134,142,000 and storage requirements exceeding capacity at 29.5 m³. Knowledge Gap: Prior studies predominantly addressed manufacturing or retail settings with relatively stable demand, while applications in port heavy equipment spare parts characterized by fluctuating demand and actual capacity constraints remain limited. Aims: This study aims to determine optimal order quantities for three tire types using the Lagrange Multiplier method to minimize total inventory cost under warehouse capacity constraints, integrating time series forecasting for the January–December 2026 period. Results: The Lagrange Multiplier model produced optimal order quantities of 60, 33, and 8 units, requiring 24.6 m³ and reducing costs to Rp127,643,500 compared with the company method. Forecast-based optimization recommended 58, 32, and 9 units with ordering intervals of 16, 24, and 18 days, occupying 24.75 m³ and generating total inventory costs of Rp125,985,500. Novelty: This study integrates multi-item Lagrange Multiplier optimization with Single Exponential Smoothing forecasting and Moving Range Chart verification in a port spare parts warehousing context. Implications: The findings provide a quantitative decision framework for capacity-constrained inventory planning, supporting cost minimization and structured warehouse utilization in heavy equipment spare parts management. Highlights: Mathematical optimization generated lower total stock expenditure compared with the existing ordering approach. Forecast-integrated planning maintained storage usage within the 25 m³ limit. Defined replenishment intervals of 16, 24, and 18 days supported structured procurement scheduling. Keywords: Inventory, Lagrange Multiplier, Tire
Six Sigma and SWOT Integration for Donut Quality Control: Integrasi Six Sigma dan SWOT untuk Pengendalian Kualitas Donat Purvandala , Muhammad Kiki; Wahyuni, Hana Catur
Indonesian Journal of Innovation Studies Vol. 26 No. 2 (2025): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i2.2031

Abstract

General Background: Quality control is a critical element in manufacturing systems, including food-based Micro, Small, and Medium Enterprises, to ensure customer satisfaction and process consistency. Specific Background: UD Darjo’s Donut’s experienced product defects exceeding the internal standard of 4%, affecting production efficiency and sales performance. Knowledge Gap: Limited structured integration of Six Sigma measurement and SWOT strategic formulation has been applied in small-scale food enterprises to simultaneously evaluate process capability and strategic positioning. Aims: This study aims to determine the sigma level of donut production using the Six Sigma DMAIC approach and to formulate improvement strategies through SWOT analysis. Results: The findings reveal five critical defects, namely undercooked dough, burnt surface, inconsistent shape, wrinkled texture, and hollow structure. The highest sigma value was 4.00 in the first period, the lowest was 3.64 in the fifth period, with an average sigma level of 3.78. SWOT analysis positioned the enterprise in Quadrant I, indicating strong internal capabilities and promising market opportunities. Novelty: This research integrates quantitative sigma measurement with strategic quadrant mapping in a food MSME context. Implications: The study provides structured quality monitoring and strategic marketing expansion recommendations to support continuous product consistency and business sustainability. Keywords: Six Sigma, Quality Control, SWOT Analysis, Food MSMEs, DMAIC Key Findings Highlights Five critical defect categories were identified through process mapping and fishbone analysis. Production capability averaged 3.78 sigma across six months of observation. Strategic positioning indicates aggressive market expansion through strength–opportunity alignment.
Donut Production Sigma Level and Strategic Positioning: Tingkat Sigma Produksi Donat dan Posisi Strategis Rinaldo, Hadid; Sulistiyowati, Wiwik
Indonesian Journal of Innovation Studies Vol. 26 No. 2 (2025): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i2.2032

Abstract

General Background: Quality control and risk management are essential in food-based small enterprises to maintain product consistency and operational stability. Specific Background: UD Darjo’s Donut’s experienced recurring production defects exceeding internal tolerance limits, requiring structured process evaluation and strategic formulation. Knowledge Gap: Limited studies integrate quantitative Six Sigma measurement with strategic SWOT positioning in small-scale donut production systems. Aims: This study aims to measure process capability using the Six Sigma DMAIC framework and formulate business strategies through SWOT analysis. Results: Five dominant defect types were identified, including undercooked dough, burnt surface, inconsistent shape, wrinkled texture, and hollow structure. The average process capability reached 3.78 sigma across six observation periods, with values ranging from 3.64 to 4.00. SWOT mapping positioned the enterprise in Quadrant I, indicating strong internal conditions and favorable market opportunities. Novelty: The study combines sigma-level evaluation with strategic quadrant mapping within a food MSME context. Implications: The findings support structured quality monitoring and aggressive growth strategies aligned with internal strengths and external opportunities. Keywords: Six Sigma, Quality Control, SWOT Analysis, Process Capability, Food MSME Key Findings Highlights Five dominant defect categories were systematically identified in production. Average process performance reached 3.78 across six periods. Strategic mapping indicated a strength-opportunity configuration.
Inventory Cost Comparison Using Continuous And Periodic Review Systems: Perbandingan Biaya Persediaan Menggunakan Sistem Peninjauan Berkelanjutan dan Periodik Muhaimi, Muhammad Lutfi; Wulandari, Indah Apriliana Sari
Indonesian Journal of Innovation Studies Vol. 26 No. 2 (2025): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i2.2033

Abstract

General Background Inventory management plays a central role in maintaining production continuity and controlling operational costs in manufacturing systems. Specific Background Companies frequently apply Continuous Review and Periodic Review systems to determine optimal order quantities, reorder points, and safety stock levels in order to minimize total inventory cost. Knowledge Gap However, comparative empirical evaluation of both systems within a specific operational context remains limited, particularly in determining which policy generates lower total cost under actual demand conditions. Aims This study aims to analyze and compare the Continuous Review and Periodic Review methods to identify the inventory policy that produces the minimum total cost. Results The findings indicate differences in ordering frequency, safety stock levels, and total inventory cost, with one method demonstrating a lower overall cost based on calculated demand and cost parameters. Novelty The study provides a direct quantitative comparison of two widely applied inventory control systems within a single operational dataset. Implications The results offer practical guidance for managerial decision-making in selecting an appropriate inventory control policy to achieve cost efficiency and operational stability. Keywords: Inventory Management, Continuous Review System, Periodic Review System, Total Inventory Cost, Safety Stock Key Findings Highlights Comparative cost calculations reveal distinct ordering policies between the two control systems. Differences in reorder strategy generate variation in total inventory expenditure. Quantitative evaluation supports selection of a cost-minimizing policy for operational planning.
Integrated Lean AHP and Taguchi for Supplier Quality Decisions: Pendekatan Terpadu Lean AHP dan Taguchi untuk Pengambilan Keputusan Kualitas Pemasok Arifianto , Rahmat; Sulistiyowati, Wiwik
Indonesian Journal of Innovation Studies Vol. 26 No. 2 (2025): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i2.2035

Abstract

General Background: Quality control and supplier selection are critical components in manufacturing systems to ensure process stability and cost efficiency. Specific Background: Companies in the food and small-scale production sector frequently encounter non-value-added activities and variability in raw material quality that affect operational performance. Knowledge Gap: Previous studies have discussed lean thinking, Analytical Hierarchy Process, and Taguchi Loss Function separately, yet limited research integrates these approaches within a single decision-making framework for supplier evaluation and quality control. Aims: This study aims to analyze production inefficiencies and determine optimal supplier selection criteria using an integrated Lean Thinking, AHP, and Taguchi Loss Function approach. Results: The findings identify dominant waste categories, prioritize supplier evaluation criteria, and quantify quality loss to support structured decision making. Novelty: The study presents a combined methodological framework that links waste identification, multi-criteria decision analysis, and quality loss measurement within one operational model. Implications: The proposed framework provides a systematic basis for managerial decision making in improving production consistency, minimizing quality deviation, and strengthening supplier performance evaluation in manufacturing systems. Keywords: Lean Thinking, Supplier Evaluation, Analytical Hierarchy Process, Taguchi Loss Function, Quality Control Key Findings Highlights Waste categories were systematically identified within the production workflow. Multi-criteria prioritization structured supplier ranking decisions. Quality deviation was quantified using a loss-based measurement model.
Warehouse Layout Reconfiguration Reduces Travel Distance Using Class Based Storage: Perubahan Tata Letak Gudang Mengurangi Jarak Perjalanan dengan Menggunakan Sistem Penyimpanan Berbasis Kategori Vidiasari, Mike; Cahyana, Atikha Sidhi
Indonesian Journal of Innovation Studies Vol. 26 No. 2 (2025): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i2.2036

Abstract

General Background: Warehouse layout plays a critical role in supporting material handling efficiency and operational performance in industrial systems. Specific Background: The studied company experienced excessive travel distance and disorganized item placement, leading to inefficiencies in retrieval and storage activities. Knowledge Gap: The existing warehouse arrangement had not applied a systematic storage classification based on item movement frequency, resulting in suboptimal space utilization and material flow. Aims: This study aims to redesign the warehouse layout using the Class Based Storage method to minimize travel distance and improve storage organization. Results: The analysis classified items into movement-based categories and proposed a new layout configuration that reduced total travel distance compared to the initial condition. The redesigned layout also improved accessibility for high-frequency items. Novelty: The study demonstrates the practical application of Class Based Storage in a specific industrial warehouse context supported by quantitative travel distance analysis. Implications: The findings provide a structured reference for warehouse management strategies focused on layout planning, storage classification, and operational efficiency improvement within industrial engineering practices. Keywords: Warehouse Layout, Class Based Storage, Travel Distance, Material Handling, Industrial Engineering Key Findings Highlights Storage classification based on movement frequency reorganized item placement systematically. Proposed configuration lowered total material transfer path compared to the initial arrangement. High-rotation products were positioned closer to access points to streamline retrieval activities.
Bearing Life Evaluation in Between Bearing Centrifugal Pumps: Evaluasi Umur Bantalan pada Pompa Sentrifugal dengan Bantalan Dewanto, Dodik Hari; Fahruddin, A’rasy
Indonesian Journal of Innovation Studies Vol. 26 No. 4 (2025): October
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i4.2037

Abstract

General Background: Centrifugal pumps are widely applied in industrial cooling systems where bearing reliability determines operational continuity. Specific Background: At PT Java Pacific, a between bearing centrifugal pump using type 6311 deep groove ball bearing operates for gearbox cooling and frequently experiences premature failure. Knowledge Gap: A discrepancy exists between theoretical bearing life estimation and actual service life in field operation, yet quantitative comparison in this specific configuration remains limited. Aims: This study aims to calculate the theoretical L10h bearing life, compare it with actual operational data, and formulate an appropriate preventive maintenance strategy. Results: Based on a basic dynamic load rating of 74.1 kN, equivalent load of 5.45 kN, and shaft speed of 5000 rpm, the calculated bearing life is 8,378.07 hours (0.96 years). However, field data show replacement intervals of only 5–8 months, indicating earlier degradation primarily associated with lubrication and operational factors. Novelty: This study provides a direct quantitative comparison between theoretical bearing life and real industrial data for a 6311 bearing in a between bearing centrifugal pump configuration. Implications: The findings support structured lubrication scheduling and condition monitoring to reduce premature bearing failure and optimize maintenance planning in industrial pump systems. Keywords: Centrifugal Pump, Bearing Life, Preventive Maintenance, Equivalent Load, Industrial Reliability Key Findings Highlights Theoretical L10h calculation produced 8,378.07 operating hours under specified load and speed conditions. Field replacement records indicate shorter service intervals of 5–8 months. Lubrication management and operational load control are critical factors in reducing premature failure.
Compressive Strength and Workability Characteristics of Concrete Mixtures: Kekuatan Tekanan dan Karakteristik Keluwesan Campuran Beton Rosadi, Rifky; Mulyadi
Indonesian Journal of Innovation Studies Vol. 26 No. 4 (2025): October
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i4.2038

Abstract

General Background: Concrete compressive strength and workability are critical parameters in structural engineering and construction quality control. Specific Background: Variations in cement content and water–cement ratio directly determine slump value and compressive strength performance based on standardized laboratory testing. Knowledge Gap: Previous studies have discussed mixture composition and strength development; however, limited discussion is provided regarding systematic comparison of mixture variations under consistent SNI-based testing procedures. Aims: This study aims to analyze the relationship between mixture composition variations and the resulting slump value and compressive strength of concrete specimens. Results: Experimental findings show that differences in cement proportion and water–cement ratio generate measurable changes in workability and compressive strength values, with specific mixture compositions producing higher compressive performance. Slump test results indicate consistent trends corresponding to water content adjustments. Novelty: The study provides structured experimental evaluation using standardized Indonesian National Standards procedures to compare mixture variations within a controlled framework. Implications: The findings contribute practical references for optimizing concrete mixture design in construction practice and support quality control in civil engineering materials testing. Keywords: Concrete Mixture, Compressive Strength, Workability, Water Cement Ratio, Slump Test Key Findings Highlights Mixture proportion variations produce distinct mechanical performance patterns. Cement content differences generate measurable strength deviations. Laboratory testing confirms consistent trends under standardized procedures.
Tensile and Compressive Behavior of Sansevieria Fiber Composites: Perilaku Tarik dan Tekan Komposit Serat Sansevieria Al-Amin , Achmad Nurfadil; Widodo, Edi
Indonesian Journal of Innovation Studies Vol. 26 No. 4 (2025): October
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i4.2039

Abstract

General Background: Natural fiber reinforced composites have gained attention in mechanical engineering due to their lightweight characteristics and sustainable material potential. Specific Background: Sansevieria fiber combined with polyester resin and alkali treatment has demonstrated promising mechanical properties; however, limited studies evaluate the addition of amylum starch concentration within the matrix system. Knowledge Gap: There remains insufficient experimental evidence regarding how varying amylum manihot concentrations modify tensile and compressive responses of Sansevieria fiber reinforced composites. Aims: This study investigates tensile strength and compressive strength of alkali-treated Sansevieria fiber composites with 6%, 7%, 8%, 9%, and 10% amylum starch addition using ASTM D-638 and ASTM D-695 standards. Results: Experimental findings indicate that starch addition increases tensile strength, with the highest tensile stress of 35.53 MPa at 8% concentration, while compressive strength decreases, with the highest compressive stress of 108.27 MPa observed in specimens without starch addition. Novelty: The research presents a systematic comparison of dual mechanical properties under controlled starch concentration variations in polyester-based Sansevieria composites. Implications: The findings provide reference data for optimizing composition design in natural fiber reinforced composite applications requiring tailored tensile and compressive performance. Keywords: Natural Fiber Composite, Sansevieria Fiber, Amylum Starch, Tensile Strength, Compressive Strength Key Findings Highlights Maximum tensile stress recorded at 8% starch concentration. Highest compressive stress obtained in specimens without additive. Alkali-treated fiber composites show contrasting mechanical trends.

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