cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Paska Marto Hasugian
Contact Email
editorjournal@seaninstitute.or.id
Phone
+6281264451404
Journal Mail Official
editorjournal@seaninstitute.or.id
Editorial Address
Komplek New Pratama ASri Blok C, No.2, Deliserdang, Sumatera Utara, Indonesia
Location
Unknown,
Unknown
INDONESIA
Jurnal Ilmiah Multidisiplin Indonesia
Published by SEAN INSTITUTE
ISSN : -     EISSN : 28289463     DOI : -
Core Subject : Science, Agriculture, Engineering,
Agriculture, Biological Sciences & Forestry Computer Science & IT Earth & Planetary Sciences Engineering Physics
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 423 Documents
 39   40   41   42   43 
Financial Behavior and Investment Decisions among Generation Z: The Role of Risk Perception and Financial Technology (FinTech) Usage Tika Handayani; Riri Cornellia; Anggi Oktaviani; Lubis Lubis; Ardelia Suharmanto
Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID) Vol. 5 No. 08 (2026): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), August 2026
Publisher : Sean Institute

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

Abstract

Digital financial services have lowered barriers to investment and increased Generation Z participation in app-based financial markets, but easier access is not always accompanied by disciplined financial behavior and adequate risk evaluation. This study examines the effects of financial behavior, risk perception, and financial technology (FinTech) usage on Generation Z investment decisions. A quantitative explanatory design with a cross-sectional survey was applied to 200 valid respondents who had used FinTech services and participated in digital investment activities. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that financial behavior has the strongest positive and significant effect on investment decisions (beta = 0.392, p < 0.001). Risk perception also has a positive and significant effect (beta = 0.218, p = 0.001), indicating that awareness of potential loss, market volatility, platform security, and risk-profile fit supports more rational decisions. FinTech usage positively and significantly affects investment decisions (beta = 0.314, p < 0.001) by expanding access to information, transactions, and portfolio monitoring. The adjusted R-square of 0.609 indicates that the three predictors explain 60.9% of the variance in investment decisions. These findings position technology as an enabler, while financial discipline and risk awareness remain central to responsible and sustainable digital investment decisions among Generation Z.
Inflow Prediction System and Grindulu Hydropower Production Optimization using The Bi-LSTM Seq2Seq Quantile Regression Model Moch. Taofik Ma’mur; I Made Indradjaja Marcus Brunner
Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID) Vol. 5 No. 08 (2026): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), August 2026
Publisher : Sean Institute

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

Abstract

The Grindulu PS Hydroelectric Power Plant is one of the hydroelectric power plants that relies on the flow of the Grindulu River as its primary energy source. Due to the irregularity of water discharge, particularly at its lowest point during the dry season, the Grindulu PS Hydroelectric Power Plant is planned to be constructed using variable speed drive (VSD) technology [1], [2]. The objective of this study is to analyze the hydrological and hydraulic data of the Grindulu River to determine the annual water discharge profile, particularly during the dry season; to analyze the minimum potential for electricity generation from the Grindulu PS Hydroelectric Power Plant based on the lowest available discharge; and to analyze the Variable Speed Drive (VSD) system of the Grindulu PS Hydroelectric Power Plant in optimizing electricity generation under minimum discharge conditions during the dry season. This study is a quantitative-predictive analysis aimed at modeling inflow predictions at the proposed site for the Grindulu Hydropower Plant, which is planned to utilize a pumped-storage system. The prediction model used is the Bi-Directional Long Short-Term Memory Sequence-to-Sequence (Bi-LSTM Seq2Seq) with a Quantile Regression (QR) approach to generate inflow estimates at various levels of uncertainty (q10, q50, and q90) [3]. The research results show that the flow characteristics of the Grindulu watershed are dominated by relatively constant low-flow conditions throughout the year, particularly during the dry season, as indicated by the q50 and q90 flow values, which are both 1.021 m³/s. This indicates that the flow is dominated by baseflow and that high-flow events occur only for limited periods. With a minimum flow potential and a reservoir system design flow of 242 m³/s, a generation capacity of +1,000 MW can be achieved by utilizing the water stored in the upper reservoir. At the Grindulu River Basin hydroelectric power plant, the VSD system allows for more flexible and efficient operation of the pump-turbines, ensuring that power generation remains normal even under minimum flow conditions. The analysis results indicate that the hydraulic technical parameters that need to be considered in supporting the implementation of the VSD system under minimum flow conditions are water flow, effective head, reservoir water level fluctuations, turbine efficiency, and flow stability [2].
An Analysis of Goods Delivery Operations Management at Shopee Express in Palopo City Kodrat Rippi
Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID) Vol. 5 No. 09 (2026): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), September 2026
Publisher : Sean Institute

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

Abstract

The increasing volume of e-commerce transactions has created greater demand for fast, accurate, and reliable goods delivery, while delivery delays, shipment accumulation, system disruptions, and distribution barriers remain operational challenges. This study aims to analyze the operational management of goods delivery at Shopee Express in Palopo City and identify the factors supporting and hindering its implementation. This research employed a qualitative method with a descriptive case study approach. Data were collected through observation, semi-structured interviews, and documentation involving 25 informants selected using purposive sampling, consisting of supervisors or coordinators, couriers, sorting and warehouse staff, operational administrative staff, and customers. Data were analyzed using the interactive model of Miles, Huberman, and Saldaña, while data credibility was ensured through source, technique, and time triangulation. The findings indicate that operational management has been implemented relatively well through the functions of planning, organizing, actuating, and controlling. Planning is based on package volume, distribution areas, human resource requirements, and operational targets, while clear task division supports coordination among operational personnel. Delivery implementation is supported by digital systems and barcode scanning, and controlling is conducted through tracking systems, performance evaluation, and complaint handling. The main supporting factors are human resources, technology, fleet availability, tracking systems, and work coordination. Meanwhile, weather conditions, infrastructure limitations, system disruptions, high delivery volumes, and customer-related factors remain the main obstacles. The study concludes that effective delivery management requires the integration of human resources, technology, physical resources, and coordination, with continuous improvements in operational monitoring, resource capacity, and distribution optimization.

Page 43 of 43 | Total Record : 423

 39   40   41   42   43 

Filter by Year

2022 2026


Reset
Filter By Issues
All Issue Vol. 5 No. 09 (2026): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), September 2026 Vol. 5 No. 08 (2026): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), August 2026 Vol. 5 No. 07 (2026): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), 2026 Vol. 5 No. 06 (2026): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), June 2026 Vol. 5 No. 05 (2026): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), May 2026 Vol. 5 No. 04 (2026): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), April 2026 Vol. 5 No. 03 (2026): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), March 2026 Vol. 5 No. 02 (2026): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), February 2026 Vol. 5 No. 01 (2026): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), January 2026 Vol. 4 No. 12 (2025): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), December 2025 Vol. 4 No. 11 (2025): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID) , 2025 Vol. 4 No. 10 (2025): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID) November 2025 Vol. 4 No. 09 (2025): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID) October 2025 Vol. 4 No. 06 (2025): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), July 2025 Vol. 4 No. 05 (2025): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), June 2025 Vol. 4 No. 05 (2025): Multidisiplin Indonesia (JIM-ID), Mey 2025 Vol. 4 No. 04 (2025): Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID), April 2025 Vol. 4 No. 8 (2025): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID) 2025 Vol. 4 No. 7 (2025): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), August 2025 Vol. 3 No. 02 (2024): Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID), July 2024 Vol. 3 No. 01 (2024): Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID), January Vol. 2 No. 02 (2023): Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID), July Vol. 2 No. 01 (2023): Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID), Januari Vol. 1 No. 02 (2022): Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID),July Vol. 1 No. 01 (2022): January, Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID) More Issue