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INDONESIA
Jurnal Ilmiah Multidisiplin Indonesia
Published by SEAN INSTITUTE
ISSN : -     EISSN : 28289463     DOI : -
Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID) is a peer-reviewed journal regularly published by the SEAN Institute every three months. namely, several research publications to publish multi-disciplinary articles with general topics on engineering, science, agriculture, plantations, forestry and marine.
Arjuna Subject : Umum - Umum
Articles 449 Documents
The Effect of Employee Engagement and Work-Life Balance on Performance with The Mediation of Job Satisfaction of Employee in the Packing Division PT. Kao Indonesia Cikarang Pusat Sri Wahyuningsih; Catur Sasi Kirono; Supartono; Nabila Nurfitria
Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID) Vol. 5 No. 09 (2026): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), September 2026
Publisher : Sean Institute

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Abstract

The phenomenon of consistently high performance among employees in the Packing Division of PT. Kao Indonesia Cikarang Pusat, despite the use of a traditional performance appraisal method, forms the background of this study. The research aims to analyze the effect of Employee Engagement and Work-Life Balance on Performance, with Job Satisfaction as a mediating variable. This study adopts a quantitative approach using a survey method, distributing questionnaires to 102 employees of the Packing Division at PT. Kao Indonesia Cikarang Pusat. Data were analyzed using Structural Equation Modeling (SEM) with LISREL 8.80 software. The results reveal that Employee Engagement and Work-Life Balance have a positive and significant effect on Performance; Employee Engagement has a positive and significant effect on Job Satisfaction; Work-Life Balance has no significant effect on Job Satisfaction; Job Satisfaction has a positive and significant effect on Performance; Job Satisfaction mediates the effect of Employee Engagement on Performance but does not mediate the effect of Work-Life Balance on Performance. These findings imply the importance of enhancing employee engagement and managing work-life balance appropriately to achieve optimal performance. The originality of this research lies in its focus on a division with fluctuating workloads and an attendance-based performance assessment based on targets and monthly production capacity, which is then converted to an annual basis, offering practical insights for similar organizations in managing human resources under such conditions.
Product Innovation Management and Digital Technology Adoption in Indonesian Digital Startups: Model Development and Measurement Design Fausiah Fausiah; Aminah Aminah; Elisabeth Ambalele
Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID) Vol. 5 No. 09 (2026): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), September 2026
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Indonesia’s digital startup ecosystem requires firms to innovate products continuously while integrating digital technology into core business processes. This study develops a measurement model for examining Product Innovation Management, Digital Technology Adoption, and Digital Startup Performance in the Indonesian context. The study follows a quantitative research-development sequence combining literature synthesis, conceptual-model refinement, instrument operationalization, and internal focus-group review. The resulting instrument consists of 26 Likert-scale statements organized into three constructs: Product Innovation Management (9 items), Digital Technology Adoption (8 items), and Digital Startup Performance (9 items). The review process strengthened terminology consistency, item clarity, respondent-screening criteria, coding rules, and the alignment between constructs and the planned regression model. A complete empirical-analysis protocol was also specified, covering item validity, construct reliability, residual normality, multicollinearity, heteroscedasticity, and multiple linear regression. The study contributes a context-specific and empirically testable measurement architecture for research on innovation management and digital entrepreneurship in Indonesia. The framework is designed for field application among active startup founders, owners, managers, or other decision makers who understand product innovation and business performance.
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 Muh Rosyid; Fibi Eko Putra; Tri Ngudi Wiyatno
Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID) Vol. 5 No. 10 (2026): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), October 2026
Publisher : Sean Institute

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Abstract

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%.
From Financial Distress to Firm Value: The Mediating Role of Earnings Management and the Moderating Role of Audit Quality in Indonesian Listed Companies Harlen Silalahi
Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID) Vol. 5 No. 10 (2026): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), October 2026
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  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.
Human or Virtual? Comparing How Influencer Credibility Shapes Purchase Intention through Parasocial Relationship and Consumer-Brand Engagement in East Kalimantan, Indonesia Purwinahyu Purwinahyu; Asnawati Asnawati; Gusti Noorlitaria Achmad
Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID) Vol. 5 No. 10 (2026): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), October 2026
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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.
Generative Artificial Intelligence for Supporting Scientific Writing Among Electrical Engineering Students: A Narrative Review Sosiana
Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID) Vol. 5 No. 09 (2026): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), September 2026
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The rapid development of Generative Artificial Intelligence (GenAI) has changed academic learning and writing practices in higher education. For electrical engineering students, scientific writing is a supporting competence because technical knowledge must be communicated through laboratory reports, project documentation, proposals, final projects, and scientific articles. This narrative review examines how GenAI can support scientific writing, identifies benefits relevant to electrical engineering students, analyzes risks, and formulates principles for responsible use. The review incorporated an updated search and verification of recent empirical studies, reviews, and policy guidance, with emphasis on publications from 2023–2026. The evidence indicates that GenAI can assist ideation, brainstorming, outlining, language revision, feedback, and exploratory learning. Engineering studies also report perceived gains in learning efficiency, initiative, creativity, and writing support. However, substantial concerns remain regarding inaccurate outputs, fabricated or erroneous references, overreliance, reduced metacognitive engagement, and academic-integrity risks. In electrical engineering, these risks are amplified because errors in equations, parameters, component specifications, standards, or simulation interpretations can propagate into technical conclusions. This review proposes a Human-Led, AI-Assisted, Evidence-Verified (H-A-E) conceptual model in which students retain responsibility for problem formulation, evidence selection, critical evaluation, technical verification, scientific argumentation, authorship, and final decisions. GenAI is positioned as a cognitive and linguistic assistant, not as a source of scientific evidence or a substitute for engineering judgment.
Reconstruction of Presidential Candidacy Following the Abolition of the Presidential Threshold (PT) under Law No. 7 of 2017: A Normative Analysis Based on Constitutional Democracy Donny Pratama; Meita Istianda; Rifandy Ritonga
Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID) Vol. 5 No. 09 (2026): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), September 2026
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The abolition of the presidential threshold through Constitutional Court Decision No. 62/PUU-XXII/2024 has fundamentally altered the legal framework governing presidential and vice-presidential nominations in Indonesia. This study examines the normative problems embedded in the previous nomination system and formulates a legal reconstruction that is more consistent with the principles of constitutional democracy. The research employs normative legal research using statutory, conceptual, historical, and comparative approaches. Primary legal materials include the 1945 Constitution, Law No. 7 of 2017 on General Elections, and relevant Constitutional Court decisions, while secondary materials consist of legal scholarship and academic literature on constitutional democracy, political rights, and presidential systems. The findings show that the former presidential threshold created several normative tensions, particularly regarding political equality, popular sovereignty, electoral openness, the use of previous legislative election results, and the logic of simultaneous elections. Although the abolition of the threshold broadens access to presidential nomination, it also creates a need for a clearer and more coherent post-threshold regulatory framework. This study proposes an open nomination model that provides equal nomination opportunities for political parties participating in elections, supported by objective administrative requirements, transparent verification procedures, legal certainty, and non-restrictive mechanisms for maintaining presidential governability. The study concludes that post-threshold reform should not merely remove the previous numerical requirement but should reconstruct the broader architecture of presidential nomination in a manner that balances democratic openness, political equality, proportionality, and institutional effectiveness.
Analysis of Passenger Online Transportation Demand in Ende City Alfridus Gado; Valentinus Tan
Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID) Vol. 5 No. 10 (2026): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), October 2026
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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.
Hybrid Spatio-Temporal Modeling Based on Bidirectional ConvLSTM and Attention-GRU for Daily Rainfall Prediction in Jakarta Special Capital Region (DKI Jakarta) Nofandi Kodyatmoko; Sajarwo Anggai; Abu Khalid Rivai
Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID) Vol. 5 No. 10 (2026): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), October 2026
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Background: Accurate daily rainfall prediction supports flood mitigation in DKI Jakarta, a tropical megacity whose rainfall is shaped by interactions between coastal (sea-breeze) and upstream orographic processes. Gap: Most previous studies rely on single-station data or purely temporal models (e.g., LSTM or GRU), which flatten the spatial layout of observation networks. Method: This study proposes a hybrid architecture that combines a bidirectional convolutional LSTM (Bi-ConvLSTM) with an attention-based GRU (Attention-GRU). Daily data of nine meteorological variables (including lagged rainfall) from four BMKG stations (Kemayoran as the target, Soekarno-Hatta, Tanjung Priok, and Citeko), covering January 2010 to April 2026 (5,964 days), were arranged into a 2×2 grid with a seven-day window, giving an input tensor of shape (7, 2, 2, 9). Results: On a chronologically held-out test set of 1,193 days, the proposed model obtained an RMSE of 16.32 mm, an MAE of 8.20 mm, and an R² of 0.1158, compared with 16.43 mm, 8.45 mm, and 0.1034 for a standard LSTM baseline (RMSE −0.67%, MAE −2.96%); the paired absolute-error difference was significant by the Wilcoxon signed-rank test (p = 0.00155). The gains are modest: ablation variants without attention reached a lower MAE but a higher RMSE, and the model strongly underpredicts rainfall above 20 mm. Contribution: The study provides a reproducible multi-station grid representation for Jakarta and evidence that upstream (Citeko) information contributes most to next-day prediction at Kemayoran. Practical implication: With an inference time of about 18 ms per sample the model is computationally light, but because it underestimates heavy rainfall it is, at this stage, a candidate supporting signal for early warning rather than a stand-alone warning engine.
Production of The Profile Video of Senior High School 14 Samarinda Using 3D Animation Integration Techniques Muhammad Rasyid Ramadhani; Noor Alam Hadiwijaya; Bambang Cahyono
Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID) Vol. 5 No. 10 (2026): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), October 2026
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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.

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