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All Journal Jurnal Kajian Manajemen Bisnis Jurnal Rekayasa Sistem Industri SPEKTRUM INDUSTRI Jurnal Dampak Jurnal Optimasi Sistem Industri Jurnas Nasional Teknologi dan Sistem Informasi Jurnal Mirai Management JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Ekonika : Jurnal Ekonomi Universitas Kadiri Knowledge Engineering and Data Science Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Jurnal Teknik Industri : Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri Seminar Nasional Teknologi Informasi Komunikasi dan Industri AFEBI Management and Business Review Jurnal Sains dan Teknologi: Jurnal Keilmuan dan Aplikasi Teknologi Industri International Journal of Supply Chain Management Sang Pencerah: Jurnal Ilmiah Universitas Muhammadiyah Buton Indonesian Journal of Halal Research Jurnal Sistem Teknik Industri Jurnal Pembangunan Nagari Dinasti International Journal of Education Management and Social Science Jurnal Civronlit Unbari Enrichment : Journal of Management Jurnal Teknik Industri Terintegrasi (JUTIN) AMAR (Andalas Management Review) El-kahfi : Journal of Islamic economics Warta Pengabdian Andalas: Jurnal Ilmiah Pengembangan Dan Penerapan Ipteks Andalasian International Journal of Applied Science, Engineering, and Technology Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Jurnal Talenta Sipil METAL : Jurnal Sistem Mekanik dan Termal Jurnal Ekonomika Dan Bisnis Jurnal Teknik Sipil Institut Teknologi Padang Structure Journal of Economics, Entrepreneurship, Management Business and Accounting Ranah Research : Journal of Multidisciplinary Research and Development Menulis: Jurnal Penelitian Nusantara Brilliant International Journal of Management and Tourism Jurnal Keilmuan dan Aplikasi Teknologi Industri PERFORMA : Media Ilmiah Teknik Industri
Alizar Hasan
Universitas Andalas
Religion Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Transportation Other

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Systematic Literature Review on the Integration of Total Quality Management and Green Manufacturing in Enhancing Sustainable Manufacturing Competitiveness Nova Wisnianingsih; Nilda Tri Putri; Alizar Hasan; Franka Hendra
JTI: Jurnal Teknik Industri Vol 12 No 1 (2026): June 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v12i1.39230

Abstract

Global pressures on the manufacturing industry to enhance competitiveness while simultaneously meeting sustainability demands have intensified the need for integrated managerial approaches. Total Quality Management (TQM) has long been recognized as a fundamental driver of organizational performance through continuous improvement and customer orientation, while green manufacturing has emerged as a key strategy for reducing the environmental impacts of production processes. However, existing literature indicates that these two approaches are often implemented in isolation, limiting their potential synergy in building sustainable manufacturing competitiveness. This article aims to conduct a Systematic Literature Review (SLR) to comprehensively examine the integration of TQM and green manufacturing and its contribution to enhancing manufacturing competitiveness. The SLR method was applied by reviewing peer-reviewed and reputable scientific publications from the past five years, including empirical studies, conceptual frameworks, and prior systematic reviews. The findings reveal that TQM functions as an organizational capability that facilitates the adoption of green manufacturing practices through the strengthening of quality culture, leadership commitment, and employee involvement. The integration of TQM and green manufacturing is shown to have a positive impact on sustainability performance, environmental performance, green innovation, and competitive advantage in manufacturing firms. This study contributes by developing an integrative conceptual framework that positions TQM as a strategic enabler of green manufacturing within the context of sustainable manufacturing competitiveness, while also identifying research gaps and future research agendas, particularly in developing countries.
Pengembangan Produk Minuman Teh Sungkai Dengan Mempertimbangkan Preferensi Konsumen  Prima Fithri; Intan Juwita; Alizar Hasan; Asmuliardi Muluk
Jurnal Sains dan Teknologi: Jurnal Keilmuan dan Aplikasi Teknologi Industri Vol. 23 No. 1 (2023): Regular Issue
Publisher : SEKOLAH TINGGI TEKNOLOGI INDUSTRI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36275/zw90tt20

Abstract

Aspek penting yang perlu dilakukan oleh produsen agar produknya dapat bersaing yaitu dengan melakukan pengembangan dan inovasi produk. Salah satu inovasi yang dapat dilakukan pada saat pandemi Covid-19 ini yaitu minuman dan makanan yang dapat meningkatkan imun tubuh seperti daun Sungkai yang dinamakan Teh Royal Sungkai Sinatra. Minuman ini merupakan produk baru hasil inovasi yang berawal dari maraknya penggunaan daun sungkai sebagai alternatif pengobatan Covid-19. Air rebusan daun sungkai dirasakan jika diminum langsung terasa pahit dan tidak praktis. Oleh karena itu perlu dilakukan pengembangan produk agar preferensi konsumen terpenuhi. Penelitian ini menggunakan integrasi metode Conjoint Analysis dan QFD. Metode Conjoint Analysis berfungsi untuk meneliti pasar terhadap preferensi konsumen mengenai atribut dan level yang menjadi fokus pelanggan, sedangkan QFD merupakan alat perencanaan yang berfungsi untuk memastikan preferensi konsumen diketahui pemilik usaha dalam pembuatan produk untuk peningkatan kepuasan pelanggan. Berdasarkan hasil penelitian, diperoleh empat atribut penting bagi konsumen terhadap produk minuman teh sungkai, yaitu atribut rasa, aroma, warna, dan harga. Berdasarkan atribut dan level yang dianggap penting tersebut diperoleh 16 kombinasi produk dari hasil olahan SPSS. Kombinasi produk terbaik yaitu rasa lemon dengan aroma normal, teh memiliki warna coklat, dan harga <Rp20.000. Selanjutnya dilakukan pengolahan respon teknis produsen berdasarkan preferensi konsumen yang telah didapatkan melalui metode Conjoint Analysis. Berdasarkan hasil wawancara didapatkan empat respon teknis, dengan respon teknis yang memiliki nilai kepentingan relatif tertinggi yaitu pemilihan bahan baku dengan nilai 25%, artinya pengembangan pertama yang harus diperhatikan oleh perusahaan adalah pemilihan bahan baku produk minuman teh royal sungkai Sinatra.
Performance Measurement of PT. Pandu Siwi Sentosa Bukittinggi Branch Uses the Balanced Scorecard Method in 2023 Nur Faizin; Alizar Hasan
Brilliant International Journal Of Management And Tourism Vol. 6 No. 1 (2026): Brilliant International Journal Of Management And Tourism
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/bijmt.v6i1.6754

Abstract

This study was motivated by the lack of an optimal comprehensive performance measurement system at PT. Pandu Siwi Sentosa Bukittinggi Branch amid operational challenges such as increased shipping volumes, fluctuations in operating costs, and competition in the logistics industry. The company needs a performance measurement method that not only focuses on financial aspects but also includes customer perspectives, internal business processes, and learning and growth. This study aims to measure the performance of PT. Pandu Siwi Sentosa Bukittinggi Branch in 2023 using the Balanced Scorecard (BSC) approach. This study was conducted using a quantitative descriptive method through questionnaires and secondary data from the company's internal reports. The results show that the company's overall performance is in the “Good” category with a total score of 80.20. The customer perspective achieved the highest score, reflecting a high level of satisfaction and loyalty. Meanwhile, the learning and growth perspective received the lowest score, indicating the need for improvement in employee training, retention, and technology adoption.This study recommends strengthening internal strategies through sustainable human resource development, business process digitization, and performance evaluation system refinement as strategic steps to maintain the company's competitive advantage in the future.
A Bounded Custom GPT Structures Operational Knowledge for Small-Industry Decision Support Arief, Ikhwan; Hasan, Alizar; Putri, Nilda Tri; Rahmann, Hafiz
Knowledge Engineering and Data Science
Publisher : citeus

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Small manufacturing and craft-based firms increasingly use Generative Artificial Intelligence (GenAI) through public chat interfaces, low-cost tools, and informal experimentation. However, these firms often make operational decisions with incomplete records, tacit owner knowledge, fragmented spreadsheets, and limited managerial capacity. Under such conditions, open-ended chatbots may generate fluent but unsafe recommendations by overlooking missing information, contradictory evidence, feasibility constraints, and implementation constraints. This study presents Asisten Cerdas Industri Kecil as a bounded Custom GPT artifact for operational diagnosis, priority selection, and short-horizon action planning in small industries. Using a Design Science Research approach, the study develops a documented artifact corpus comprising a master instruction contract, 15 curated knowledge modules, structured output rules, a 60-scenario evaluation dataset, and automated runner and judge scripts. The artifact formalizes bounded operational reasoning through minimum-field gating, evidence separation, Knowledge-Resource Advantage synthesis, feasibility-weighted priority ranking, stopping rules, and conjunctive batch evaluation thresholds. A technical verification layer was conducted on a three-scenario local-smoke subset using smollm2:135m, qwen2.5:0.5b, and qwen2.5:1.5b with a heuristic judge. Results show that the evaluation scaffold is executable and that model capacity affects bounded instruction following, although hard-guardrail and priority-compliance failures indicate that the results should be interpreted as technical verification rather than final validation. The study contributes an audit-ready bounded Custom GPT architecture, a formal decision model, and a reproducible evaluation protocol for future comparative assessment of bounded and unbounded GenAI decision-support artifacts.
Cost of Quality Models in Continuous Production Systems with Deteriorating Quality: A Review and Research Agenda Irna Ekawati; Alizar Hasan; Feri Afrinaldi; Insannul Kamil; Rika Ampuh Hadiguna
Performa: Media Ilmiah Teknik Industri Vol. 25 No. 1 (2026): Performa: Media Ilmiah Teknik Industri
Publisher : Industrial Engineering Study Program, Faculty of Engineering, Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/performa.v25i1.2758

Abstract

Cost of Quality (CoQ) is a critical tool in quality management, widely used to identify, evaluate, and optimize quality-related costs. While CoQ models such as the Prevention-Appraisal-Failure (PAF), Activity-Based Costing (ABC), Crosby, Opportunity Cost, and Process Costing have been extensively applied in discrete manufacturing systems, they remain underdeveloped for continuous production systems that exhibit time-dependent quality deterioration. This literature review explores the applicability of existing CoQ models to continuous and deteriorating systems. The analysis reveals that most CoQ models assume static failure behavior and do not accommodate gradual degradation or dynamic input quality. Among the models reviewed, the Opportunity Cost model is found to be the most conceptually aligned with dynamic loss due to declining quality, while ABC can complement it by tracing cost drivers linked to quality-related activities. Furthermore, this study outlines the potential of combining these models into a time-dependent dynamic CoQ framework, integrating deterioration functions and quality thresholds. Such a model could better represent the trade-off between prevention investments and the economic losses due to quality decay. Methodologically, this study employs a systematic literature review and comparative analysis to evaluate and synthesize prior CoQ models. The significance of this research lies in addressing theoretical and practical gaps in CoQ modeling for continuous production, which is increasingly important for industries striving for efficiency, competitiveness, and sustainability. This review ultimately provides a conceptual foundation for developing a mathematically optimized CoQ model for continuous systems, with potential validation through biogas production case studies
An Integrated RBV-KBV Conceptual Framework for Generative AI Adoption in Small Manufacturing Enterprises Ikhwan Arief; Alizar Hasan; Nilda Tri Putri; Hafiz Rahman
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 4 (2026): August 2026
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i4.7622

Abstract

Small manufacturing enterprises remain economically important but continue to face recurring operational constraints in planning, scheduling, quality control, maintenance, and process-data use. Generative artificial intelligence offers increasingly accessible support for these bounded operational tasks, yet adoption remains uneven because many firms lack a coherent basis for linking digital opportunity to internal resources, organizational knowledge, and measurable operational improvement. This study develops a conceptual framework that integrates the resource-based view and the knowledge-based view to explain generative artificial intelligence adoption in small manufacturing enterprises. Using an evidence-grounded theory-development approach, the study builds a staged framework that separates foundational conditions, perceived operational AI opportunity, organizational translation mechanisms, and performance outcomes. The framework theorizes internal resources and knowledge assets as foundational antecedents, perceived generative artificial intelligence potential in operational functions as the adoption bridge, knowledge integration and dynamic capability as organizing mechanisms, and performance improvement as the downstream consequence. It further explains how conceptual clarity can support later empirical reduction without losing the richer logic needed for practical implementation. The study also clarifies how the framework can guide applied information-system design through data-readiness assessment, bounded decision-support use cases, human-in-the-loop verification, and operational KPI monitoring. The resulting architecture strengthens theoretical explanation and operational design logic for generative artificial intelligence adoption in constrained manufacturing environments, while preserving clear boundaries for subsequent validation and applied deployment.
Knowledge Management and Organizational Resilience: Exploring Dynamic Capability Pathways Dasrial Dasrial; Syukri Lukman; Vera Pujani; Alizar Hasan
Journal of Economics, Entrepreneurship, Management Business and Accounting Vol 4 No 5 (2026): Volume 4, Issue 5, September 2026
Publisher : CV. Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/jeemba.v4i5.1824

Abstract

Purpose – This study examines the effect of knowledge management on organizational resilience by investigating the mediating role of dynamic capability in increasingly dynamic and uncertain business environments. Design/methodology/approach – This study adopts a quantitative research design using a cross-sectional survey approach. Data are analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to examine both the direct effect of knowledge management on organizational resilience and the mediating role of dynamic capability. Finding/Results – The findings show that knowledge management (KM) positively and significantly influences organizational resilience (OR) and sensing capability and transforming capability. Sensing capability significantly influences seizing capability, while seizing capability significantly influences transforming capability. However, the sequential mediation KM → Sensing → Seizing → Transforming → OR are not significant. These findings indicate that KM contributes more directly to organizational resilience, while the conversion of knowledge into resilience through dynamic capabilities may require time for knowledge internalization and capability development. Originality/Value – This study integrates the Knowledge-Based View (KBV) and Dynamic Capability View (DCV) by demonstrating that KM directly strengthens organizational resilience while supporting the development of specific dynamic capabilities. The findings provide a more nuanced understanding of how knowledge and adaptive capabilities contribute to resilience in dynamic business environments.
Co-Authors Abdul Talib, Hayati Habibah Adini, Hasti Afri Adnan Afrinaldi, Feri Ahmad Syafruddin Akbar, Ricky Al Busyra Fuadi Aldi Williya Alexie Herryandie Bronto Adi Alfadhlani Amijaya, Tisna Amrina, Elita Arifia Fitriani Armijal Armijal Aslimuardi Muluk Asmuliardi Muluk Bahrul Anif Berry Yuliandra Brianda, Wiko Okta Buang Alias Darmalion, Darmalion Dasrial Dasrial Desto Jumeno Desto Jumeno Dicky Fatrias Difana Meilani Dina Rahmayanti Dira Fatrina Donard Games Dwifitra Jumas Elita Amrina Eri Wirdianto Eureka Perdana Putra Fadhita Maisa Asri Fahlevi, Fidruzal Fandy Triawan Fandy Triawan Febriano, Raihan Fifi Nadhroh Foci, Nia Arfina Franka Hendra Gesit Thabrani Gunawan, Fauzi Hafiz Rahman Hafiz Rahman, Hafiz Hary Fandeli Hayati Habibah Abdul Talib Hayuzikra, Aufa Henmaidi Henmaidi Henmaidi Henmaidi Henra Nanang Sukma Hilma Raimona Zadry Hubbig, Afdhal Huda, Ashila Nurul Husnil Hidayat Ikhwan Arief Indah Desfita Indrapriyatna, Ahmad Syafruddin Innsanul Kamil Insannul Kamil, Insannul Intan Juwita Irna Ekawati Irvan Nofrandy iswahyuningsih iswahyuningsih Jonrinaldi Jumeno, Desto Kamil, Insannul Liperda, Rahmad Inca Lusi Susanti Marta, Ayu Maulana, Ghufran Mego Plamonia Morena Tantilia Muharma, Arma Muluk, Asmuliardi Mulyani, Rini Muthia Roza Linda, Muthia Roza Nandra Lolyta Anggraini. A Nasfi, Nasfi Nasfryzal Carlo Nilda Tri Putri Nofrandy, Irvan Nova Wisnianingsih Novya Ardies Novya Ardiesa Nur Faizin Patrisina, Reinny Perengki Susanto Prima Fithri putra, Yudhy Soneta Putri, Alyani Rahma Rahmad Rezeki Rahmann, Hafiz Rahmiati Rahmiati Rahmiati Rahmiati Ratni Prima Lita Ravelby, Thesa Alif reinny patrisina Ricky Akbar Ricky Eka Putra Rida Rahim Ridwan, Ridwan Rika Ampuh Hadiguna Rismasari, Roza Riza Yonita Roza Rismasari Sabri Septianas Yunior Septyan Haris Kurniawan, Mohd Shelly Nolandari Siti Aisyah Jamal Suhery, Suhery Syafrizal Syafrizal Syafrizal Syafrizal Syukri Lukman Taufik Taufik Taufik Taufik Tri Putri, Nilda Tria Ewilda Triawan, Fandy Vera Pujani Vera Pujani Wiko Okta Brianda Wilantara, Bayu Wisnel Wisnel Wisnel Yulianto, Ardhian Agung Yumi Meuthia Zuchria Anggia Sari Hasnda Zuherna Mizwar Zulhanif, Zulhanif