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The Influence of Macroeconomic Variables on Problematic Financing in the Sector of Manufacturing Rosye Rosaria Zaena; Enny Diah Astuti; Jefriyanto; Ifadhila; Sukma Irdiana
JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) Vol. 9 No. 3 (2023): Juni 2023
Publisher : Sekretariat Pusat Lembaga Komunitas Informasi Teknologi Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jemsi.v9i3.1118

Abstract

This study intends to examine how Indonesia's problematic manufacturing industry sector funding in Islamic banking is affected by macroeconomic factors such exchange rates, inflation, BI rates, and export growth. Monthly time series data from January 2018 to December 2022 were used in this investigation. The multiple linear regression test is the statistical analysis employed in this investigation. The findings demonstrated that the troublesome financing of the Manufacturing Industry sector was significantly influenced by a combination of macroeconomic factors, including exchange rate, inflation, BI rate, and export growth. Partly, the difficult financing of the Manufacturing Industry sector is significantly impacted by both inflation and the BI Rate in both positive and negative ways.
The Effect of Promotion, E-Service Quality and Price on Customer Satisfaction and Its Implication on Loyalty of Tokopedia Customers Frans Sudirjo; Vivid Violin; Akmal Abdullah; Ifadhila; Muhammad Subhan Iswahyudi
JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) Vol. 9 No. 5 (2023): Oktober 2023
Publisher : Sekretariat Pusat Lembaga Komunitas Informasi Teknologi Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jemsi.v9i5.1473

Abstract

This study examined how consumer happiness and customer loyalty are affected by the quality of e-services, product prices, and promotions. This study aims to identify if a variable has a direct or indirect impact. A questionnaire with 40 questions that was sent using Google Form was used to gather the data for this investigation. A non-probability selection technique was used to select 100 participants as respondents for this investigation. Path analysis utilizing statistical product and service solutions (SPSS) is the analysis method used in this study. According to the study's findings, client loyalty and partial and simultaneous effects of e-service quality and promotion on customer satisfaction are both favorable. Customer loyalty is impacted by product prices, which also have a detrimental impact on customer satisfaction. Customer loyalty is indirectly impacted by consumer happiness, which is influenced by e-service quality, product prices, and incentives.
Enhancing Tilapia Fry Business Management Capacity through a Smart Production System-Based Business Information System at Aquafarm Patommo Yusdalifa Ekayanti Yunus; Ifadhila; Nurul Mutmainnah
Jurnal Pengabdian UNDIKMA Vol. 7 No. 4 (2026): November (IN PRESS)
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v7i4.22653

Abstract

The tilapia hatchery business managed by the Aquafarm Patommo group continues to face several challenges, including unstructured production and financial recordkeeping, limited operational control, and a lack of data-driven decision-making. This community service program aims to strengthen the group's business management capacity through the implementation of a Business Management Information System integrated with a Smart Production System. The program adopts a participatory approach involving business condition assessment, training, system implementation, ongoing assistance, and evaluation. The system integrates production data, feed consumption, operational costs, mortality rates, and sales records to generate key business performance indicators, including costs, revenue, profit, cost of goods produced (COGP), and the revenue-to-cost (R/C) ratio. Program outcomes are evaluated by comparing pretest and posttest scores across four indicators: understanding of business management, production planning, recording of operational and feed costs, and documentation of production and seed sales. The data are analyzed descriptively by calculating the percentage of correct responses and the differences between pretest and posttest results. The findings demonstrate improvements across all four indicators, with the average level of partner understanding increasing from 30% at baseline to 82.5% after program implementation, representing a gain of 52.5 percentage points. The implementation of the system also strengthens the consistency of business recordkeeping, production monitoring, performance evaluation, and data-driven decision-making in the management of the group's tilapia hatchery business.