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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 873 Documents
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Optimization of Cement Bag Production Scheduling Using Particle Swarm Optimization Method : Optimalisasi Penjadwalan Produksi Cement Bag Menggunakan Metode Particle Swarm Optimization Pratama, Abdi Harish; Sumiati, Sumiati
Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i1.1597

Abstract

General background: Efficient production scheduling is essential for improving operational performance in multi-stage manufacturing systems with fluctuating demand. Specific background: At PT XYZ, Cement Bag production involves six sequential machines, yet scheduling remains manual, causing bottlenecks, long waiting times, and a makespan that exceeds production targets. Knowledge gap: Prior studies largely optimize a single performance indicator—typically makespan—and rarely address dual objectives in complex multi-machine plastic-bag manufacturing. Aims: This study aims to optimize Cement Bag production scheduling using the Particle Swarm Optimization (PSO) algorithm to minimize makespan and total waiting time simultaneously. Results: Implementing PSO on 12 jobs and 6 machines reduced makespan from 49,400 seconds to 34,520 seconds (32.77%) and lowered waiting time from 186,050 seconds to 115,870 seconds. The optimized job sequence balances machine workloads more effectively than the existing manual schedule. Novelty: The study integrates dual performance criteria in a real multi-process Cement Bag production system and applies PSO to an industrial context not previously examined comprehensively. Implications: Findings demonstrate PSO’s suitability as an adaptive AI-based scheduling approach, offering manufacturers a practical pathway toward improved resource utilization, reduced delays, and enhanced responsiveness to market variability. Highlights: Highlights the significant reduction of makespan and waiting time using PSO. Demonstrates balanced workload distribution across six machines. Shows the novelty of dual-objective optimization in Cement Bag production. Keywords: Production Scheduling, PSO, Makespan, Waiting Time, Manufacturing
Failure Risk Analysis of Storage Tank Using the Risk-Based Inspection Method in a Biofuel Supply Company: Analisis Resiko Kegagalan Pada Storage Tank dengan Metode Risk Based Inspection Idris, Mukandar; Aryanny, Enny
Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i1.1686

Abstract

Background (General) Storage tanks play a critical role in ensuring the continuity and safety of biodiesel distribution, where structural integrity is essential to prevent environmental, operational, and safety hazards. Background (Specific) At PT XYZ, recurring issues such as corrosion and leakage indicate limitations in the current time-based inspection approach. Knowledge Gap Previous studies applied RBI or AHP separately, but few integrated technical risk data with multi-criteria decision-making to produce an inspection and maintenance strategy that is both objective and operationally relevant. Aim This study aims to assess the risk level of a biodiesel storage tank using an integrated Risk-Based Inspection (RBI) and Analytic Hierarchy Process (AHP) approach to determine optimal inspection intervals and maintenance priorities. Results The analysis shows that critical subsystems—Storage Tank, Piping, Automatic Gauge Tank, PRV, and PVV—fall into high and extreme risk categories, with the overall tank risk classified as medium; corrosion analysis indicates remaining life values between 51–107 years, leading to a recommended inspection interval of four years instead of five. Novelty This study offers a combined RBI–AHP framework that aligns quantitative risk factors with managerial decision priorities. Implications The findings support more precise, risk-informed maintenance planning to enhance safety, reliability, and operational continuity in biodiesel storage operations. Highlights: Identifies high-risk subsystems requiring prioritized inspection. Integrates RBI–AHP to produce objective maintenance decisions. Recommends shorter inspection intervals to enhance operational safety. Keywords: Risk-Based Inspection, Analytic Hierarchy Process, Storage Tank, Corrosion, Maintenance Strategy
Improving Shoe Product Quality Through the New Seven Tools Approach and Failure Mode Effect Analysis (FMEA): Perbaikan Kualitas Pada Produk Sepatu Melalui Pendekatan New Seven Tools Dan Failure Mode Effect Analysis (FMEA) Subono, Muhammad Wibbie Wiweka; Rochmoeljati, Rr.
Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i1.1843

Abstract

General Background: Quality control is essential for ensuring competitiveness in manufacturing industries, particularly in footwear production. Specific Background: UD. XYZ experiences a defect rate of 12.85%, exceeding the company standard of 5%, indicating systemic issues in its production process. Knowledge Gap: Previous studies have utilized New Seven Tools and FMEA, yet have not sufficiently integrated both methods to produce comprehensive improvement recommendations tailored to the root causes of shoe defects. Aim: This study aims to identify defect-causing factors and propose corrective actions using combined New Seven Tools and Failure Mode and Effect Analysis (FMEA). Results: Analysis revealed 27 proposed improvements through the PDPC, with 25 deemed feasible, while FMEA identified untidy sewing as the most critical failure mode, with the highest RPN value of 336. Novelty: This study offers an integrated diagnostic–corrective framework that systematically links qualitative mapping tools with quantitative risk prioritization to strengthen quality improvement strategies. Implications: Findings provide actionable guidance for enhancing worker performance, machine calibration, material handling, and production methods, supporting sustained quality enhancement in the footwear industry. Highlights: Identifies key defect sources in shoe production using integrated qualitative and quantitative methods. Highlights untidy sewing as the most critical issue based on the highest RPN value (336). Provides feasible improvement actions, with 25 of 27 recommendations implementable for quality enhancement. Keywords: Quality Control, New Seven Tools, FMEA, Shoe Manufacturing, Defect Reduction

Page 88 of 88 | Total Record : 873

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