Ivan Gunawan

Higher education institutions (HEIs) are increasingly required to improve service quality while addressing sustainability challenges. However, inefficiencies and waste within academic and administrative processes often undermine institutional performance. This study proposes an integrated approach combining Fuzzy Failure Mode and Effect Analysis (fuzzy-FMEA), the Decision-Making Trial and Evaluation Laboratory (DEMATEL), and Waste Priority Categories (WPC) systematically to evaluate and prioritise critical waste occurrences in a private HEI in Indonesia. Fuzzy-FMEA was employed to address the uncertainty inherent in expert assessments and to generate a Fuzzy Waste Priority Number for ranking purposes. DEMATEL was then applied to map causal–effect relationships among the nine most critical waste occurrences, while WPC translated these results into actionable categories: eliminate, option, or acceptance. The analysis revealed that delayed campus facility repairs (C5) represent the most influential causal form of waste, while lecturer-task misalignment (D1), administrative overload (B6), and teaching preparation inefficiencies (A10) also emerged as critical issues. By prioritising the elimination of these waste occurrences, HEIs can simultaneously improve resource efficiency, enhance staff wellbeing, and strengthen student learning outcomes. The findings demonstrate that integrating fuzzy-FMEA, DEMATEL, and WPC provides a robust decision-support framework for aligning risk management with institutional sustainability strategies.

Technological progress is vital for strong halal traceability across the food chain, from farm to consumer. The growing global halal market and consumer demand for transparency render traditional assurance insufficient. This chapter highlights the increasing need for sophisticated solutions to guarantee halal integrity. It introduces halal traceability and emphasizes how new technologies are revolutionizing its implementation towards verifiable and transparent systems, exceeding basic certification. The chapter comprehensively reviews these tech innovations and their impact on building a more secure halal ecosystem. Key areas include blockchain for secure records and supply chain visibility, IoT for real-time monitoring, and advanced sensors for quick halal checks. AI and ML for risk prediction are also discussed. The chapter analyzes the benefits and challenges of adopting these technologies, such as scalability and cost. Ultimately, it underscores technology's transformative potential in enhancing consumer trust, regulatory compliance, and the resilience of the halal food chain.

Hospitals should improve services to patients. The concept of Lean Management can be used as an approach to improve hospital efficiency. The purpose of the training is to provide an understanding of Lean Management in hospitals (Lean Hospital) to hospital leaders and employees and be able to identify waste. The training was conducted with partners, namely Surabaya Gotong Royong Hospital. The training methods are the presentation of Lean Hospital and group discussions. Through this training, the knowledge of leaders and employees of Gotong Royong Surabaya Hospital about Lean Hospital can be improved. In group discussions, various types of waste and the order of priority for improvement were identified. This training has been able to increase the understanding of leaders and employees of Gotong Royong Surabaya Hospital about Lean Hospital. This can be seen from the ability of participants in the discussion to identify and assess the priority number of waste and provide suggestions for improvement. This activity can be followed up with research or community service on improving efficiency at Gotong Royong Surabaya Hospital with the Lean Management approach.

Due to the gap between supply and demand, Indonesia has not been able to meet the domestic demand for beef without imports. With the rapid increase in population, the gap continues to widen, making self-sufficiency difficult to attain. With the rising environmental awareness, the green value chain is considered a viable solution, which will promote beef self-sufficiency while improving environmental performance. This study develops a PESTLE-based actor preparedness questionnaire to explore the Indonesian beef value chain readiness in implementing green practices. The questionnaire considers political, economic, social, technological, legal, and environmental dimensions. The survey involved 37 actors in the Indonesian beef value chain. The survey’s results were analyzed using multidimensional scaling. The results show that cattle breeders were the least prepared to implement green practices, and processed beef producers were the most prepared to implement green practices. This study also employs Fuzzy- Failure Mode Effect Analysis to capture the risks in the green value chain. The top ten risks were in procurement, human resource management, technology development, infrastructure, and transportation activities. Finally, Analytic Network Process was employed to determine the priorities to address obstacles to green practices. The priority is the green product and process certification-the most strategic program to improve the Indonesian beef value chain.

Dalam era globalisasi yang semakin berkembang pesat, Supply Chain Management (SCM) menjadi salah satu aspek yang tidak bisa diabaikan dalam menjaga keberlanjutan bisnis. Dengan semakin kompleksnya rantai pasokan, pemahaman yang mendalam tentang konsep dan aplikasi SCM menjadi krusial bagi para praktisi dan peneliti di berbagai bidang industri. Melalui buku ini, saya berusaha untuk memberikan gambaran komprehensif tentang Supply Chain Management dan aplikasinya dalam konteks bisnis modem. Dengan menggali berbagai teori dan praktik terkini, diharapkan pembaca akan memperoleh wawasan yang lebih mendalam tentang bagaimana SCM dapat diimplementasikan secara efektifuntuk meningkatkan kinerja perusahaan. Saya berharap buku ini dapat memberikan kontribusi yang berarti bagi para pembaca khususnya mahasiswa Teknik industri, baik mereka yang tengah mempelajari SCM maupun yang sudah berkecimpung dalam dunia industri. Terima kasih atas perhatiannya

Purpose: Food waste in cities has become a pressing issue not only in developed countries but also in developing countries like Indonesia. The main objectives of this study are to (1) identify the relationships among the driving factors of food waste in Indonesian cities by considering the perspective of food industry practitioners and academics and (2) model the relationships among the driving factors of food waste to reduce food waste in Indonesian cities. Design/methodology/approach: The driving factors of food waste were selected from literature reviews and corroborated using in-depth interviews with practitioners and academics. A combination of three methods comprising (1) Decision-Making Trial and Evaluation Laboratory (DEMATEL), (2) Interpretive Structural Modelling (ISM), and Matrice d'Impacts Croisés Multiplication Appliqué un Classement (MICMAC) were used to construct the hierarchical model the relationship among the driving factors of food waste based on their driving power and dependence power. Findings: There are three key players in the food waste chain in urban areas in Indonesia: households, restaurants, supermarkets/markets. Fifteen driver factors on food waste based on the supplier-input-process-output-customer (SIPOC) framework were identified. The relationship among the driving factors of food waste was constructed in a hierarchical structure of food waste in Indonesian cities. With this, strategic action is formulated to reduce food waste. Practical implications: The proposed model of the driving factors of food waste can inform the city government on how to manage food waste. Likewise, the findings can assist Indonesian households, restaurants, and markets/supermarkets in minimizing their food waste. The ISM approach's hierarchical structure allows practitioners to better identify the objectives for reducing food waste in Indonesian cities. Originality/value: Previous studies have not examined and specifically modeled the relationships among the driving factors of food waste in Indonesian cities with three main players, i.e., households, restaurants, and supermarkets or traditional markets.

Sustainable industrialization is the 9th goal of the 17 Sustainable Development Goals (SDGs) agreed by the United Nations. Green business practice is a fundamental concept that is important for the realization of sustainable industrialization. In a business practice, there is a value chain involved. The value chain is a series of activities to increase the added value of products/services so that the business practice has a competitive advantage. The first initiative towards green business is to conduct a descriptive and diagnostic analysis of the readiness of each activity in the value chain to become green. A suitable method is needed to perform accurate descriptive and diagnostic research. This article proposes a technique for measuring the readiness of the green value chain. The measure green value chain readiness method will use STEER (Sociocultural, Technological, Economic, Ecological, and Regulatory) as the measurement dimension. STEER has been widely used for macro analysis in business investment. The proposed method captures the existing condition of a business through the green readiness of each activity in the value chain. This measurement method is built through a literature review and uses a questionnaire as a data collection tool. Simple mathematical equations will be involved in indicating the level of readiness. The measurement results with the proposed method can map the green readiness of each activity in the value chain so that the company can start an initiative for a green strategy to become a sustainable industry.

Supplier selection is an important stage in the procurement of goods and services. The suitable suppliers will streamline the company's business processes to increase profits for the company. Product packaging is one of the vital components of the overall representation of a product. Many industries leave packaging matters to others to focus on their area of specialization. Thus, the selection of packaging suppliers has become one of the critical issues in the industrial world. This study aims to develop a packaging supplier selection model in the shoe industry. The primary packaging for shoes is a shoe box made of cardboard. In developing the packaging supplier selection model, it is necessary to determine the relevant criteria and sub-criteria to support the entire supplier selection process. The integration of the Decision-Making Laboratory and Evaluation Laboratory (DEMATEL), Analytic Network Process (ANP), and Weighted Zero-One Goal Programming (WZOGP) were used in this study to produce a suitable supplier selection model. In the initial step, five criteria and 12 sub-criteria were determined from the literature study and brainstorming with the procurement department. Furthermore, the DEMATEL method supports the development of a model of the relationship between criteria, sub-criteria, and alternatives required in the ANP procedure. Then, the ANP method synergistically assigns weights to each criterion, sub-criteria, and alternative. The weights from the results of the ANP method are used as parameters for the WZOGP optimization model. In this study, quality (28.1%) was ranked as the highest criterion, and shoe box prints that matched the specifications (12.3%) became the sub-criteria with the highest ranking. The selection of the best suppliers using the ANP method sequentially is supplier B (62.22%), supplier A (20.41%), and supplier C (17.38%). The results of the WZOGP optimization model confirm the results of the ANP by setting supplier B as the leading supplier

Blitar merupakan salah satu sentra penghasil ayam pedaging dan ayam petelur di Indonesia. Ketidakstabilan harga daging dan telur ayam yang dibudidayakan saat ini membuat peternak melirik potensi ayam KUB (Kampung Unggul Balitnak) yang harganya lebih stabil. Meskipun ayam KUB memiliki usia pemanenan lebih panjang, ayam KUB lebih tahan penyakit dan memiliki tingkat produksi telur yang tinggi, mencapai 70%. Telur ayam KUB juga dapat ditetaskan untuk dijadikan indukan yang baru karena telur yang dihasilkan merupakan hasil perkawinan dengan pejantan. Dengan demikian, peternak tidak tergantung pada perusahaan besar untuk ketersediaan anak ayam/day-old chicken (DOC). Namun, karena belum banyak yang membudidayakan jenis ayam ini; telur, DOC, pejantan, dan indukan belum banyak tersedia di pasaran. Peternak harus melakukan seleksi mandiri untuk mendapatkan indukan baru. Untuk meningkatkan produktivitas, telur yang memenuhi syarat perlu ditetaskan dengan menggunakan mesin penetas. Saat ini, peternak yang ingin menetaskan telurnya harus menitipkan telur di tempat penetasan bebek yang lokasinya jauh dan hanya bisa dilakukan jika ada kapasitas yang tidak terpakai. Biaya untuk menetaskan telur pun mencapai Rp1.700,00 per telur yang menetas. Mitra sangat memerlukan mesin penetas telur sendiri untuk menghindari ketergantungan terhadap peternak lain. Di samping itu, saat ini, pembentukan paguyuban peternak ayam KUB sedang dirintis yang anggotanya sebagian besar adalah peternak pemula. Keberadaan mesin penetas akan sangat efektif bagi peternak ayam KUB jika mesin penetas dikelola oleh paguyuban. Oleh karena itu, kegiatan pengabdian masyarakat yang dilakukan ialah merancang dan membuat alat penetas telur berteknologi tepat guna yang mudah dioperasikan dan mudah dipelihara.