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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 14 Documents
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Search results for , issue "Vol. 27 No. 2 (2026): April" : 14 Documents clear
Supplier Performance Prioritization Using Analytical Hierarchy Process Framework: Penentuan Prioritas Kinerja Pemasok Menggunakan Kerangka Kerja Proses Hierarki Analitis Rachmawan, Yoga; Wahyuni, Hana Catur
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.v27i2.2045

Abstract

General Background: Supplier evaluation is a critical component of supply chain management to ensure operational continuity and procurement quality. Specific Background: Organizations require structured decision-making tools to assess multiple criteria in selecting and evaluating suppliers objectively. Knowledge Gap: Although the Analytical Hierarchy Process (AHP) has been widely applied, its structured implementation for supplier performance prioritization in the observed company context has not been systematically documented. Aims: This study aims to determine priority criteria and identify the best supplier alternative using the AHP framework. Results: The analysis produced weighted criteria rankings, verified consistency ratios below the acceptable threshold, and generated a final supplier priority order based on global weights. Novelty: The study presents a comprehensive hierarchical structuring of criteria and sub-criteria aligned with company-specific procurement conditions. Implications: The findings provide a structured decision support basis for managerial policy in supplier selection and contribute to applied research in supplier performance measurement using multi-criteria decision-making methods. Keywords: Analytical Hierarchy Process, Supplier Evaluation, Multi-Criteria Decision Making, Supply Chain Management, Decision Support System Key Findings Highlights Criteria weighting identified dominant factors in supplier assessment. Consistency ratio confirmed reliable pairwise comparison judgments. Final ranking determined a priority supplier based on global synthesis weights.
Technology Contribution Coefficient and Strategic Position of Knife Manufacturing IKM: Koefisien Kontribusi Teknologi dan Posisi Strategis Industri Manufaktur Pisau IKM Maulana, Muhammad Naufal; Wahyuni, Hana Catur
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.v27i2.2046

Abstract

General Background: Technology capability plays a critical role in transforming raw materials into value-added products within small and medium manufacturing enterprises. Specific Background: Krian Custom Tools, a knife manufacturing IKM established in 2013, relies on technoware, humanware, infoware, and orgaware components to maintain product quality and production consistency. Knowledge Gap: The technological components had not previously been quantitatively measured to determine their contribution level and corresponding strategic direction. Aims: This study aims to calculate the Technology Contribution Coefficient (TCC) using the technometric method and formulate strategic recommendations through SWOT analysis. Results: The overall TCC value reached 0.805, categorized as very good and modern. Component sophistication values were 0.689, 0.880, 0.858, and 0.847, and all components were positioned in Quadrant I of the SWOT diagram. Novelty: The study integrates technometric evaluation and SWOT positioning within a knife manufacturing IKM context. Implications: The findings provide a structured basis for strategic technology development and decision-making in small-scale manufacturing enterprises. Keywords: Technology Contribution Coefficient, Technometric Method, SWOT Analysis, Technology Components, Small Medium Enterprise Key Findings Highlights Aggregate coefficient indicates advanced technological classification level All evaluated elements positioned in aggressive strategic quadrant Quantitative assessment supports structured development planning
Cylinder Overhaul Restores Dimensional Accuracy and Emission Compliance: Perbaikan Silinder Memulihkan Ketepatan Dimensi dan Kepatuhan Emisi Fakhrudin; Mulyadi
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.v27i2.2047

Abstract

General Background: Multi Purpose Vehicles require proper engine maintenance to sustain operational reliability and emission compliance. Specific Background: Cylinder wear in MPV engines leads to loss compression, reduced power, and inefficient fuel combustion, requiring overhaul procedures involving inspection, oversize machining, component replacement, and emission testing. Knowledge Gap: Quantitative documentation of dimensional changes in cylinder blocks, pistons, and piston ring end gaps before and after overhaul in MPV engines remains limited. Aims: This study aims to analyze the cylinder overhaul process in an MPV engine and evaluate dimensional measurements and exhaust gas emissions after repair. Results: Initial measurements showed cylinder diameter reduction from the 72.00 mm standard to an average of 71.91 mm and piston wear below standard limits. After oversize machining and component replacement, cylinder diameter reached 72.48 mm and piston diameter 72.50 mm, while piston ring gaps returned within standard ranges. Emission testing indicated CO at 0.05%, HC at 25 ppm, and CO2 at 14.7%, meeting regulatory thresholds. Novelty: The study presents integrated dimensional measurement and emission validation within a single overhaul analysis. Implications: The findings provide practical technical guidance for accurate cylinder overhaul procedures in MPV maintenance. Keywords: Cylinder Overhaul, MPV Engine Maintenance, Dimensional Measurement, Piston Ring Clearance, Exhaust Emission Test Key Findings Highlights Pre-repair measurements identified significant wear beyond tolerance limits Post-repair machining achieved conformity with manufacturer specifications Exhaust parameters satisfied regulatory requirements after reassembly
Orange Data Mining Integration Improves Database Learning Scores in High School: Integrasi Penambangan Data Orange Meningkatkan Skor Pembelajaran Database di Sekolah Menengah Atas Santoso, Dian Rahma; Yunanto, Angga; Affandi, Aditya Krisna; Pamungkasari, Silvana Desy
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.v27i2.2051

Abstract

General Background: Database learning is a fundamental component of information technology education that requires both conceptual understanding and practical abilities such as designing relational database structures and writing accurate SQL queries. Specific Background: In many classroom settings, students struggle to understand database concepts because learning methods often rely on conventional instruction with limited variation and minimal technological support. Knowledge Gap: Although interactive learning tools and data visualization software have been suggested as alternatives, empirical classroom-based evidence regarding their use in database instruction at the secondary school level remains limited. Aims: This study investigates whether the integration of interactive learning modules with Orange Data Mining software is associated with measurable changes in database learning outcomes among Grade 11 students at SMAN 3 Sidoarjo. Results: Using a quantitative pre-test–post-test design involving 20 students, descriptive statistics showed an increase in mean scores from 76.50 in the pre-test to 83.30 in the post-test. Normality testing confirmed normally distributed data, and a paired sample t-test produced a significance value of 0.011 (<0.05), indicating a statistically significant difference between the two measurements. Novelty: The study demonstrates a classroom implementation in which interactive modules are combined with visual data mining tools to support both conceptual comprehension and practical data analysis activities in database learning. Implications: These findings provide empirical evidence supporting the integration of data visualization–based learning environments in secondary information technology education and suggest that technology-supported instructional strategies may contribute to improved database learning performance and student engagement. Highlights: Mean student performance increased from 76.50 before treatment to 83.30 afterward. Statistical testing showed a significant difference between pre-test and post-test results (p = 0.011). Visual data exploration activities helped learners interpret relational data patterns and query results more clearly. Keywords: Orange Data Mining, Interactive Learning Media, Online Learning, Data Analysis.

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