Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID)

Identifying Challenges for Lecturers in Writing Books

2026-02-02T11:41:45+00:00

This study aims to identify the challenges faced by lecturers in producing academic books, including textbooks and scholarly publications, within the environment of XXX University. The background of this research stems from the relatively low productivity of lecturers in publishing books, despite its importance as part of the implementation of the tridharma of higher education. The study employed a descriptive quantitative approach by distributing questionnaires via Google Form to 46 lecturers as respondents. The collected data were analyzed descriptively to portray lecturers’ perceptions of various factors that hinder the process of writing and publishing books. The findings indicate that the challenges encountered by lecturers can be classified into two main categories: internal factors and external factors. Internal factors include time management difficulties, limited writing skills, and motivational or psychological barriers. External factors consist of limited access to references, insufficient institutional support, inadequate funding, lack of incentives and recognition, publishing process constraints, limited collaboration and networking, administrative regulations, and inadequate technological tools. The most dominant challenges identified were related to time constraints, limited institutional support, and insufficient funding and incentives for book publication. Based on these results, the study recommends that XXX University strengthen its institutional support by increasing funding for book publication and providing clear and proportional incentives for lecturers who successfully publish books. In addition, improving lecturers’ capacity through training in academic writing, time management, and collaborative authorship is essential to enhance scholarly productivity. Through the synergy between institutional support and individual capacity development, lecturers’ productivity in book publication is expected to improve sustainably and contribute to the academic reputation of the university.

Reduction of Visual Defects Dented in Valve Seat Products Using the Failure Mode and Effect Analysis (Fmea) Method and Kaizen Seven Tools at PT. XYZ

2026-08-27T17:58:26+00:00

XYZ is one of the manufacturing companies that produces precision spare parts for automotive and electronic components. One of the automotive component spare parts is the Valve Seat. In the production process, there are NG (Not Good) valve seat products that are delivered to customers, resulting in frequent customer claims. This research aims to describe and analyze work process improvements so that quality can be maintained using the Seven Tools Method and to identify the factors causing the delivery of non-conforming products. Furthermore, the Failure Mode and Effect Analysis method is used to identify the highest failure risks, followed by kaizen implementation. Based on these results, an analysis of work process improvements is required to maintain product quality before delivery to customers by creating work instructions and adding work process methods during handling. Based on the pareto defect diagram, the most frequent defect in the last 3 months was the dented part, accounting for 95,91%. The contributing factors were: Human factors, where operators did not yet fully understand handling requirements; machine factors, where components and cutting oil circulation were dirty; method factors, where handling was not in accordance with SOP; and material factors, where the material made of stainless steel was easily scratched. By implementing FMEA and Kaizen, it was found that the Valve Seat production process at PT XYZ was already quite good, with a defect reduction of 0.87%, from the previous defect rate of 2.75% to 1.88%.

Human or Virtual? Comparing How Influencer Credibility Shapes Purchase Intention through Parasocial Relationship and Consumer-Brand Engagement in East Kalimantan, Indonesia

2026-09-12T15:20:51+00:00

This study examines whether influencer credibility is associated with purchase intention through parasocial relationship (PSR) and consumer-brand engagement (CBE), and whether the proposed sequential association differs between human and virtual influencers. A cross-sectional survey of 450 social-media users in East Kalimantan, Indonesia, was analyzed using partial least squares structural equation modeling, bootstrapped serial mediation, measurement invariance testing, multi-group analysis, and predictive assessment. Credibility was positively associated with PSR (β = 0.472), PSR with CBE (β = 0.392), and CBE with purchase intention (β = 0.517). The serial indirect association was statistically supported (β = 0.096; 95% CI [0.064, 0.131]). The credibility–PSR association was stronger for human than virtual influencers (β = 0.548 vs. 0.391; permutation p = 0.008), as was the serial indirect effect (β = 0.116 vs. 0.071; p = 0.021). By contrast, the CBE–purchase intention association did not differ significantly between groups (p = 0.614). These results identify a source-type difference at the influencer–consumer bonding stage rather than at the brand-engagement–intention stage. The study contributes a dual-stage relational account that distinguishes PSR directed toward an influencer from CBE directed toward the endorsed brand. For practitioners, the findings suggest that virtual-influencer strategies may benefit from credible, consistent, and transparent persona narratives that sustain relational engagement, while both influencer types should connect audience attention to the endorsed brand. The cross-sectional, non-randomized design limits causal inference.

From Financial Distress to Firm Value: The Mediating Role of Earnings Management and the Moderating Role of Audit Quality in Indonesian Listed Companies

2026-09-12T14:28:30+00:00

This study examines how financial distress affects firm value through earnings management and whether audit quality conditions this transmission process among non-financial companies listed on the Indonesia Stock Exchange during 2020–2025. Using an unbalanced panel of 423 firms and 2,371 firm-year observations, the study applies two-way fixed-effects regressions with firm-clustered standard errors, the Modified Jones model to estimate discretionary accruals, the emerging-market Altman Z'' score to measure financial distress, Tobin's Q to capture firm value, and Big Four affiliation as the proxy for audit quality. The results show that financial distress significantly increases earnings management and directly reduces firm value, while greater earnings-management intensity is associated with lower firm value. Audit quality weakens the positive effect of financial distress on earnings management and attenuates the negative valuation consequence of earnings management. Bootstrap analysis further indicates that earnings management significantly mediates the financial distress–firm value relationship and that this indirect effect is substantially weaker among firms audited by Big Four-affiliated auditors. Robustness tests using alternative measures and lagged specifications preserve the direction and significance of the principal findings. These results demonstrate that financial distress affects market valuation through both a fundamental channel and an informational channel arising from managerial reporting behavior. The study contributes by integrating financial distress, earnings management, audit quality, and firm value within a conditional-process framework and offers implications for investors, auditors, corporate managers, and regulators seeking to strengthen reporting credibility and market discipline in emerging capital markets. These implications matter under elevated financial pressure and information risk.

Production of The Profile Video of Senior High School 14 Samarinda Using 3D Animation Integration Techniques

2026-08-19T15:43:06+00:00

PT Astral Permai is a service company specializing in outsourcing. The company supplies personnel across various sectors to client companies under written agreements. Currently, PT Astral Permai’s attendance tracking system relies on manual recording; monthly records are submitted to the head office by supervisors from each department. Attendance tracking is a crucial component of employee performance evaluation. Adhering to company regulations regarding arrival and departure times, as well as the logging of permissions and leave, is an obligation for every employee. Therefore, the company should implement an accurate and effective attendance system that benefits both the staff and the organization by ensuring precise data recapitulation. This research aims to design a web based online attendance application featuring GPS and face recognition capabilities, utilizing the K Nearest Neighbor (KNN) algorithm for user identity verification. The application is developed using PHP and JavaScript, following the Waterfall system development methodology. This system facilitates easier attendance data recapitulation for both employees and the company, eliminating the need for manual, paper based record keeping.

Beyond Digital Adoption: Digital Ecosystem Embeddedness and Food Security Resilience among Millennial Farmers in Island Communities

2026-10-15T11:39:35+00:00

Strengthening food security resilience in island regions requires a deeper understanding of how millennial farmers’ embeddedness in digital ecosystems contributes to agricultural productivity and food security resilience. This study examines the direct effect of Digital Ecosystem Embeddedness on Food Security Resilience and its indirect effect through Agricultural Productivity in South Nias Regency, Indonesia. An explanatory quantitative research design was employed, using primary data collected through a structured questionnaire administered to 75 millennial farmers across five villages in South Nias Regency. The data were analyzed using partial least squares structural equation modeling (PLS-SEM). The results indicate that Digital Ecosystem Embeddedness has a positive and statistically significant effect on Agricultural Productivity (β = 0.249, t = 2.921, p = 0.004) and Food Security Resilience (β = 0.254, t = 4.309, p < 0.001). However, the indirect effect of Digital Ecosystem Embeddedness on Food Security Resilience through Agricultural Productivity is not statistically significant (β = 0.108, t = 1.950, p = 0.051), indicating that Agricultural Productivity does not significantly mediate this relationship at the 5% significance level. These findings suggest that digital ecosystem embeddedness is directly associated with enhanced agricultural productivity and stronger food security resilience among millennial farmers, although the productivity-mediated pathway remains statistically unsupported. The study highlights the importance of strengthening digital agricultural ecosystems by expanding farmers’ access to information, markets, business networks, and productive resources to support food security resilience in geographically dispersed island communities.

Development of Simplex Method in Linear Programming: A Review of Artificial-Free Simplex Method, Big-M, and its Various Applications in Optimization

2026-10-10T07:21:48+00:00

Linear programming is one of the most widely used optimization methods in managerial decision-making. Among the various algorithms developed to solve linear programming problems, the Simplex Method remains one of the most popular and effective approaches. As optimization needs to continue to evolve, researchers have sought to improve the efficiency and effectiveness of the Simplex Method through the development of new algorithms and its application across various sectors. This article aims to review the development of the Simplex Method based on five scientific articles covering the Artificial-Free Simplex Method (ASM), modifications of the Big-M Method, the application of the Simplex Method in communication module production, various industrial applications of the Simplex Method, and the development of the Infinite Big-M Method. The study employs a literature review approach using a qualitative descriptive method. The review findings indicate that the Simplex Method remains a relevant optimization tool in various fields due to its ability to regularly generate optimal solutions. Furthermore, several developments and modifications have successfully addressed some limitations of the conventional Simplex Method, particularly those related to the use of artificial variables, the determination of penalty parameter M values, and computational efficiency. Therefore, this study highlights the significant role of the Simplex Method in supporting data-driven decision-making, especially in the fields of management and industry.

Theoretical and Practical Study of the Application of the Simplex Method in Quantitative Management

2026-10-10T07:22:48+00:00

The increasingly competitive business environment demands that organizations make decisions accurately, effectively, and efficiently, taking into account the limitations of available resources. Quantitative management is an approach that can be used to assist managers in solving various decision-making problems through the use of mathematical models and quantitative analysis techniques. One technique widely used in quantitative management is the Simplex method, a procedure for obtaining optimal solutions to linear programming problems with more than two decision variables. This article aims to examine the theoretical and practical application of the Simplex method in assisting the process of optimizing resource use and managerial decision-making. The research method used is a qualitative descriptive approach through literature studies and illustrations of the application of the Simplex method to production problems. The results of the study indicate that the Simplex method can help organizations determine optimal product combinations by considering limitations in raw materials, labor, production capacity, and other resources. The application of this method can also provide information regarding optimal production quantities and the maximum profit value that can be obtained. Thus, the Simplex method can be a relevant analytical tool in supporting data-based decision-making and increasing the efficiency of organizational resource utilization.

SIKENDALI AMBON: Data Integration, Early Warning, and Supply Chain Control for Transforming Inflation Control in an Archipelagic Region

2026-10-22T14:14:30+00:00

Inflation control in archipelagic regions faces distinct challenges: dependence on inter-island supply, weather and shipping risks, and data fragmented across agencies. This article describes the design of SIKENDALI AMBON, a governance change project that integrates price, production, stock, demand, distribution, and logistics data into a logistics balance, an Early Warning System (EWS), and a Decision Support System (DSS) for Ambon City's Regional Inflation Control Team (TPID). A qualitative descriptive case-study approach was applied using secondary data from Statistics Indonesia (BPS), Bank Indonesia, and local government documents. Strategic issues were selected with the ASTRID criteria, organizational diagnosis used the Star Model, and the environment was analyzed with SWOT/TOWS. Local production meets only 22.27% of vegetable demand (2,516.89 of 11,304 tonnes per year), leaving 77.73% dependent on external supply, while Ambon's inflation fluctuated from 1.92% (2024) to 4.23% (December 2025) and 5.16% (January 2026). Process emerged as the main leverage point. The design shifts the paradigm from price monitoring to supply chain control through a logistics balance, three-level risk classification, collaborative governance, and phased implementation. An ex-ante appraisal estimates economic benefits of about IDR 5.09 billion per year for local government, distributors, traders, and the public. The article is conceptual and design-oriented; the system's effectiveness has not yet been empirically tested.

Analysis of Passenger Online Transportation Demand in Ende City

2026-07-08T16:24:48+00:00

Ende City, as one of the activity centers on Flores Island, has a fairly high level of community mobility. Activities going to schools, markets, offices, airports, and tourism areas cause the need for transportation to increase. The purpose of this study is to determine how big the role of transportation and the influence of online-based transportation on the online-based transportation system in Ende City. The collected data will be measured and analyzed statistically to identify patterns of relationships between existing variables, such as the relationship between usage factors (time, fare, comfort, security, and accessibility) and public perception of online transportation services. The number of samples, using the Slovin formula with the number of samples needed is ± 100 respondents. The data collection methods used are observation, interviews, questionnaires and literature studies. Based on the results of data processing and analysis, the time variable, fare variable, comfort variable, security variable and accessibility variable are obtained. Of these several factor variables, the fare variable is a superior factor variable of several other studied variables, which indicates that these variable factors are the priority of respondents in choosing the need for Online Passenger Transportation in Ende City, especially in the use of the Maxim application. It is hoped that further research will change the methods and analysis tools to increase insight into the Analysis of Passenger Online Transportation Needs.