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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 8 Documents
 1 
Search results for , issue "Vol. 27 No. 2 (2026): April" : 8 Documents clear
Overcoming the Challenges of Artificial Intelligence's Negative Impact on the Common Good: Mengatasi Tantangan Dampak Negatif Artificial Intelligence Bagi Kebaikan Hidup Bersama E.W, Tri Nugroho; Marina, Rema; Irsasri, Irsasri
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.v27i2.1631

Abstract

General Background: Artificial Intelligence (AI) has emerged as a powerful technological tool that can empower humanity while also producing deceptive and frightening consequences for shared social life. Specific Background: Recent developments in AI raise ethical concerns regarding privacy, discrimination, manipulation, and the weakening of human communication, as reflected in Pope Francis’s teachings. Knowledge Gap: While prior studies discuss ethical challenges and regulatory needs, the deeper roots of AI’s negative impacts and pathways toward the common good require further ethical-critical exploration. Aims: This literature-based research aims to examine how the challenges posed by the negative impacts of AI can be overcome for the goodness of life together. Results: The study finds that AI’s harmful consequences originate in the technocratic paradigm, the myth of unlimited progress, and the neglect of human limitations. Strategic responses include directing AI toward the common good, fostering truly human communication, developing algoretics alongside algorithms, and strengthening governance through regulation and education. Novelty: This research contributes by identifying foundational ethical roots of AI’s negative impacts and proposing an integrated framework of algoretics grounded in human dignity and shared responsibility. Implications: Ethical AI governance requires transparent, inclusive, responsible, unbiased, reliable, and secure systems supported by political commitment and education, ensuring AI serves humanity rather than undermining social justice and peace. Highlights: Negative consequences of AI are rooted in technocracy, unlimited progress myths, and ignored human limits. Ethical-critical guidance calls for algoretics to accompany algorithmic development and deployment. Regulation and education are essential pillars for directing AI toward human dignity and peace. Keywords: Artificial Intelligence, Negative Impacts,The Good of Life Together.
Innovative Economics Learning for 21st Century Skills: Inovasi Pembelajaran Ekonomi dan Keterampilan Abad 21 Rahmona, Fitria; Fermaisuri, Siti; Armiati, Armiati
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.v27i2.1866

Abstract

General Background: Rapid technological and economic transformation in the Industrial Revolution 4.0 era requires economics education to move beyond theoretical knowledge toward the development of 21st century skills, including critical thinking, communication, collaboration, creativity, digital literacy, and entrepreneurship. Specific Background: Recent studies show a shift from teacher-centered instruction to student-centered, experiential, and technology-based learning in economics classrooms, incorporating project-based learning, digital simulations, artificial intelligence tools, internships, and collaborative problem solving. Knowledge Gap: However, most prior research focuses on single methods or specific institutional contexts, with limited systematic synthesis integrating diverse innovative approaches, implementation challenges, and institutional readiness. Aims: This study conducts a Systematic Literature Review using the PRISMA framework to synthesize peer-reviewed articles published between 2021 and 2025 on innovation in economics learning methods and their relation to 21st century skills development. Results: Fourteen selected studies reveal five major categories of innovation: technology-based learning, experiential and project-based learning, collaborative and participatory approaches, entrepreneurship-oriented learning, and self-regulated learning, consistently associated with the development of critical thinking, communication, collaboration, creativity, digital literacy, and entrepreneurial competencies. Novelty: This review provides an integrated conceptual mapping of innovative economics learning methods and their pedagogical mechanisms within a unified analytical framework. Implications: The findings highlight the need for alignment among instructional design, institutional support, digital infrastructure, and educator readiness to advance integrated, contextually relevant economics education for contemporary professional demands. Highlights • Identification of five categories of pedagogical innovation across fourteen peer-reviewed studies.• Consistent linkage between active learning approaches and development of 4C competencies.• Emphasis on institutional readiness and digital infrastructure as enabling conditions. Keywords Economics Education; Learning Innovation; 21st Century Skills; Digital Literacy; Systematic Literature Review
Cross Institutional Synergy in Regional Livestock Control Implementation: Sinergi Lintas Lembaga dalam Implementasi Pengendalian Ternak Daerah Ardiansah, Ardiansah; Djaafar, Lucyane; M. Wantu, Sastro
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.v27i2.1869

Abstract

Abstract General Background: Regional policy implementation frequently encounters structural and socio-cultural barriers, particularly in regulating public order within rural governance contexts. Specific Background: The implementation of Regional Regulation Number 3 of 2022 concerning livestock control in Moutong District, Parigi Moutong Regency, demonstrates persistent issues, including weak cross-agency coordination, low public legal awareness, inconsistent sanction enforcement, limited facilities, and reactive control patterns. Knowledge Gap: Although both top-down administrative mechanisms and bottom-up community initiatives have been introduced, their interaction has not been systematically conceptualized within an integrated cross-institutional synergy framework. Aims: This study aims to analyze the formation of cross-institutional synergy through the integration of top-down and bottom-up approaches in implementing livestock control policy and to identify determining factors shaping its implementation. Results: Using a descriptive qualitative method with interviews, observations, and documentation, the findings reveal that implementation remains suboptimal due to incidental coordination, dominance of hierarchical directives, uneven sanction application, limited resources, and fragile public trust. However, emerging collaborative practices—such as village livestock task forces, digital reporting mechanisms, vulnerability-based standard operating procedures, and community monitoring—indicate the potential of structured synergy. Novelty: This study constructs a dual-model synergy scheme that integrates hierarchical policy instruments with community-based participation to bridge the gap between normative regulation and social practice. Implications: The findings highlight the necessity of institutionalized coordination, consistent law enforcement, strengthened community engagement, and adaptive governance mechanisms to achieve sustainable livestock control within decentralized regional administration. Highlights• Field coordination remains incidental with uneven sanction practices and limited operational facilities.• Public trust and local creativity shape compliance and collaborative governance capacity.• Integrated hierarchical directives and community-driven initiatives form an adaptive governance scheme. KeywordsCross Institutional Synergy; Policy Implementation; Livestock Control; Regional Regulation; Collaborative Governance
ISO 23247 Digital Twin Model for JIT Supply Chain Visibility: Model Digital Twin ISO 23247 untuk Visibilitas Rantai Pasok JIT Riyanto, Rudy; Karningsih , Putu Dana; Al Kindhi , Berlian
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.v27i2.1923

Abstract

General Background: Automotive supply chains operating under Just-in-Time (JIT) principles require high levels of supply chain visibility to maintain synchronized material flow and stable production rhythms. Specific Background: In practice, daily monitoring using the Material Information Flow Chart (MIFC) remains constrained by paper-based tools or non-integrated digital systems, resulting in information lead times of one to two weeks and limited support for real-time problem solving. Knowledge Gap: Although Digital Twin technology and ISO 23247 architecture provide a standardized digital representation framework, limited studies address structured integration of conventional MIFC with ISO 23247 for cross-supply chain material flow representation in JIT environments. Aims: This study proposes the design of an ISO 23247–based MIFC Digital Twin model (MIFCDT) to represent material flow through structured digital entities aligned with Observable Manufacturing Elements and standard information attributes. Results: The model maps seven MIFC symbols into OME Equipment and OME Process entities and formulates digital representations using identifier, characteristics, location, capacity, and dynamic status attributes capturing timestamp and quantity data. A conceptual automotive supply chain scenario demonstrates one-to-one correspondence between physical and digital entities, enabling structured monitoring of cycle time deviation and lead time delay. Novelty: The study introduces a structured digital representation model that bridges conventional MIFC practice with ISO 23247 architecture at the material flow level. Implications: The proposed model provides a conceptual foundation for real-time supply chain visibility and supports daily management in JIT-based automotive systems while opening pathways for further empirical implementation. Highlights • Structured mapping of seven MIFC symbols into ISO 23247 Observable Manufacturing Elements.• Formulation of static and dynamic digital attributes capturing timestamp, quantity, and location data.• One-to-one correspondence between physical production points and digital entities demonstrated in a conceptual automotive scenario. Keywords Digital Twin; ISO 23247; Supply Chain Visibility; Just-In-Time; Material Information Flow Chart
Toward a More Dynamic Supplier Evaluation: A Time Series Forecasting Perspective : Membangun Upaya Evaluasi Pemasok yang Lebih Dinamis: Perspektif Peramalan Deret Waktu Fikri, Muhammad Naufal; Pujawan, I Nyoman; Karningsih, Putu Dana
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.v27i2.1931

Abstract

General Background: Procurement continuity is essential for maintaining healthcare service operations, where supplier failures can disrupt service quality. Specific Background: This study evaluates supplier reliability in provincial government healthcare facilities in East Java, Indonesia, using three key performance metrics: on-time delivery (OTD), quantity fulfillment, and order lead time, based on 2023 contract data from 13 pharmaceutical suppliers. Knowledge Gap: Traditional supplier evaluation is often static, limiting the ability to detect temporal performance shifts and future reliability risks. Aims: This research aims to develop a dynamic supplier evaluation framework by integrating time series forecasting methods. Results: Historical performance showed moderate–high reliability (OTD ≈ 80.04%, quantity fulfillment ≈ 79.3%, lead time ≈ 20 days). Forecasting with exponential smoothing and Theta methods indicated declining OTD and quantity fulfillment, alongside improved lead time performance (≈ 10 days). Forecast errors were MAE ≈ 25% and RMSE ≈ 32% for service metrics, and MAE ≈ 8 days and RMSE ≈ 9 days for lead time. Novelty: The study advances supplier evaluation by combining multimetrical reliability assessment with forecasting-based temporal detection, moving beyond one-time performance scoring. Implications: This dynamic approach supports healthcare procurement managers in prioritizing resilient suppliers, adapting sourcing strategies, and mitigating operational risks in uncertain environments. Highlights: Supplier performance exhibited fluctuating reliability patterns across monthly contract periods. Forecasting results revealed decreasing delivery and fulfillment rates with shorter shipment durations. Service compliance metrics were strongly correlated, while lead time remained relatively independent. Keywords:  Public Healthcare Procurement, Supplier Evaluation, Supplier Performance Forecasting, Supplier Reliability
SQC and Fuzzy FMEA Reveal Defect Priorities in Fairy Tale Book Printing: SQC dan Fuzzy FMEA Mengungkap Prioritas Cacat Pencetakan Buku Dongeng Oktaviya, Ananta; 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.v27i2.1934

Abstract

General Background Quality control is a critical requirement in the printing industry to ensure products conform to predetermined standards and maintain visual and functional quality. Specific Background PT XYZ, a large-scale printing company in Indonesia, records fairy tale books as the product with the highest defect rate across Web Printing, Sheetfed Printing, and Finishing processes. Knowledge Gap Existing quality control practices at the company are predominantly focused on final inspection, creating a gap between quality standards and actual process conditions, while empirical applications of integrated SQC and Fuzzy FMEA in the printing industry remain limited. Aims This study aims to analyze defect characteristics and determine priority causes of defects in fairy tale book production using Statistical Quality Control (SQC) and Fuzzy Failure Mode and Effect Analysis (Fuzzy FMEA). Results SQC analysis identified dominant defects, namely dirty paper appearance (21.3%), color mismatch (17.9%), fold mismatch (17.8%), varnish crack (15.4%), floy (15.3%), and staple reject (12.3%). Fuzzy FMEA results indicate that fold mismatch caused by unstable temperature and humidity conditions in the production environment has the highest risk priority with an FRPN value of 3.42, followed by operator inaccuracy, improper machine settings, inconsistent raw material quality, and weak supervision. Novelty This research presents an integrated application of SQC and Fuzzy FMEA specifically within fairy tale book printing operations. Implications The findings provide a structured basis for prioritizing corrective actions through environmental control, operator training, machine adjustment, and raw material inspection to reduce defect levels in printing processes. Highlights: Dirty paper appearance represents the largest proportion of defects in fairy tale book production. Fold mismatch associated with production environment conditions shows the highest risk priority. Integrated analytical methods enable systematic prioritization of defect causes in printing processes. Keywords: Defects, Fairy Tale Books, Fuzzy FMEA, Quality, Statistical Quality Control
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

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