Lusia Permata Sari Hartanti

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.

Smart additive manufacturing (AM) is a complex process that integrates several digital technologies in design, planning, manufacturing, control, and services to make them more responsive and adaptable. Smart AM has demonstrated the ability to provide excellent digital technology for implant, tissue, or organ printing in the medical field. An anterior cruciate ligament (ACL) tear is an injury that occurs during strenuous physical activity. One of the implants utilized in ACL reconstruction is an interference screw. The polymers used to make an interference screw for ACL surgery are typically bioresorbable polylactic acid (PLA). Investigations on the effects of process parameters such as nozzle diameter and printing speed parameters on interference screw printing properties at 90° build orientation are still limited. Smart AM technology-related materials and processes are the primary areas of this study. This study evaluated the effects of printing speed and nozzle diameter settings, as well as the mechanical, biological, and physical characteristics of PLA interference screws printed at a 90° build orientation. The interference screws were 3D printed using material extrusion-based AM. The dimension deviation was 0.04 to 0.33%, and the density was 1.1 to 1.25 g/cm³. The A, B, and C interference screws were torque tested for all in a good clamping area, while the D-interference screw was in a clamping area. The weight loss of the interference screws in the biodegradation profile decreased after five weeks. The optimal process parameters were 50 mm/s printing speed and 0.3 mm nozzle diameter. The findings contribute to the production strategy of 3D-printed interference screw-based polymeric materials. It can be helpful to understand how different manufacturing parameters function and how those parameters affect the quality of the final product.

Pangan organik merupakan hasil produksi dari pertanian organik. Pertanian organik merupakan teknik budidaya pertanian yang berorientasi pada pemanfaatan bahan-bahan alami (lokal) tanpa menggunakan bahan-bahan kimia sintesis seperti pupuk, pestisida (kecuali bahan yang diperkenankan). Tujuan utama pertanian organik adalah menyediakan produk-produk pertanian, terutama bahan pangan yang aman bagi kesehatan produsen dan konsumen dan tidak merusak lingkungan. Tantangan yang dihadapi dalam mengembangkan pertanian organik adalah produktivitas yang rendah, pendistribusian hasil produksi, jumlah dan keahlian tenaga kerja manusia, keberadaan organisme pengganggu tanaman, dan kurangnya pemahaman masyarakat mengenai pangan organik. Pengabdian Masyarakat ini bertujuan untuk memberikan pemahaman dan kesadaran pentingnya pertanian organik. Selain itu materi yang diberikan adalah mengenai sistem rantai pasok industri pertanian. Pengabdian masyarakat telah dilaksanakan dengan baik dan lancar. Peserta pengabdian adalah Orang Muda Katolik (OMK) Paroki St. Vincentius A Paulo Kediri, St. Yosef Kediri dan St. Markus Pare Keuskupan Surabaya.

This study aimed to validate a TPACK scale which was Higher Order Thinking Skills (HOTS)-oriented, engaging 145 in-service teachers in assessing their self-perceived technological competence in teaching. The AMOS application was used for the Structural Equation Modeling (SEM) analysis and the Confirmatory Factor Analysis (CFA) computation. The results demonstrated that the survey questions were valid and reliable (five validity indicators categorized as ‘fit’ and CFA Construct Reliability = 0.85).

A Higher Education Institution (HEI) is required to be more competitive in maintaining its sustainability. The large number of stakeholders of an HEI makes it difficult to be agile in the intense competition. One of the concepts that can be used to improve the agility of an HEI is the Lean philosophy. Lean philosophy focuses on eliminating waste in the process of creating value for stakeholders. Previous research has identified several wastes in the operational activities of an HEI. This study aimed to develop a series of actions to eliminate wastes that have been identified. Interpretive Structural Modelling (ISM) and Matrices Impacts cross-multiplication applique classmate (MICMAC) are employed to model the relationship between wastes based on their mutual influence. ISM forms a hierarchical structure of interrelationships between wastes. Meanwhile, MICMAC will classify wastes based on their level of influence in a cartesian diagram. These models will help to analyze the root cause of the problem so that effective waste elimination actions can be arranged. Keywords: Higher Education Institution, Lean, Waste, MICMAC, Lean Philosophy

Lean is a philosophy that is seen as a solution to resolve the problem of efficiency in various industries. It can be used to eliminate all forms of waste in the workplace. The implementation of lean is not only applied in manufacturing but is very important to be applied in other fields, such as in Higher Education Institution. Studies on the topic of lean in the workplace have been carried out, but most of the study has been conducted within a manufacturing context. This study aims to determine the type of waste that is most important to be eliminated first by using the Waste Assessment Model and find the root of the waste problem. This study developed the relationship between waste and find out the effect of waste on each other in Higher Education Institution that focused on teaching and learning process. The steps of this study consist of three-step, such as waste identification, waste assessment, and root cause analysis. From data collection show that there are 46 forms of waste in the teaching and learning process. The results of the Waste Relationship Matrix showed three types of waste must be removed first, namely overproduction, defects, and non-utilized talents. 5-Why’s is used to find out the root causes of waste which is the most important to be eliminated first in the teaching and learning process.

Prinsip lean manufacturing (LM) menekankan pada penggunaan sumber daya secara efektif sehingga mengurangi atau menghilangkan waste. Penelitian ini dilakukan di PT XY yang merupakan produsen olahan kawat beserta turunannya pada bagian proses produksi paku. Tujuan penelitian adalah mengetahui waste kritis dan penyebabnya pada proses produksi paku. Tahapan penelitian adalah menyusun current value stream mapping, melakukan identifikasi waste menggunakan waste assessment model (WAM) dan menentukan akar permasalahan waste dengan 5-why’s. Waste kritis yang teridentifikasi yaitu 4 sub waste defect, 4 sub waste waiting, dan 2 sub waste unnecessary motion. Akar permasalahan timbulnya waste yaitu raw material, tenaga kerja, mesin produksi, dan lingkungan perusahaan. Terdapat 6 akar permasalahan yang berisiko menyebabkan defect yaitu berasal dari skill tenaga kerja, raw material, kurangnya regenerasi tenaga kerja, kurangnya sumber daya manusia (SDM), overcapacity pada mesin, dan kurangnya penegasan dalam melaksanakan Standar Operational Procedure (SOP). Akar permasalahan timbulnya waiting adalah kurangnya preventive maintenance dan umur mesin yang sudah tua. Unnecessary motion diakibatkan oleh kondisi area produksi dan penataan pada area penyimpanan work in process (WIP) yang kurang baik.Kata kunci: lean manufacturing, waste, value stream mapping, waste assessment model

Lean management has generated new approaches to reduce non-value-adding activities in different sectors of the economy, including in higher education systems. Lean principles in higher education institutions (HEIs) contribute positively to sustainability performance. The current study aims to: (a) assess waste in HEIs based on lean principles and even their potential effect on sustainability; (b) establish the relationship among wastes; (c) develop a structural model using Interpretative Structural Modeling (ISM); (d) carry out the Matrice d’impacts Croisés Multiplication Appliqué Àun Classement (MICMAC) analysis. In Phase 1 of this study, the identification of waste modes in HEIs was established. In Phase 2, risk assessment of each waste mode was conducted using the waste-Failure Mode and Effect Analysis (w-FMEA) technique. In Phase 3, ISM-MICMAC was used to identify relationships among critical waste modes. The results showed that eighteen waste modes were identified as critical in HEIs—with six waste modes being autonomous determinants; four were dependent determinants, four were linkage determinants, and four were driver determinants. This study is expected to help academicians and practitioners understand HEI’s waste types by listing the critical wastes, mapping their interrelationship, identifying the driving power and dependence, and proposing mitigation actions. It will also contribute to the growing body of literature highlighting the waste in HEIs.