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Jurnal Riset Multidisiplin dan Inovasi Teknologi
Published by Riset Press International
ISSN : 30249546     EISSN : 30248582     DOI : https://doi.org/10.59653/jimat
Core Subject : Economy, Education, Agriculture, Social, Engineering,
Agriculture, Biological Sciences & Forestry Economics, Econometrics & Finance Engineering Languange, Linguistic, Communication & Media Social Sciences
Jurnal Riset Multidisiplin dan Inovasi Teknologi (JIMAT) is to promote excellence by providing a venue for academics, students, and practitioners to publish current and significant empirical and conceptual research or builds theory. The journal is a double-blind, peer reviewed, open access journal. The journal publish articles in different fields of Applied sciences, Physical science, Social sciences, and Technology innovation. The journal also serves as a platform for reporting on the latest research findings and exchange of best practices among the global community of scholars and researchers. Editors invite reviewers, researcher, lecturers, practitioners, industry, and observers to contribute to this journal.
Arjuna Subject : Umum - Umum
Articles 124 Documents
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Influence of ESG Ratings on Profitability Ratio in Company with ESG Values Masarrah, Syalia; Suryaningrum, Diah Hari
Jurnal Riset Multidisiplin dan Inovasi Teknologi Том 3 № 03 (2025): Jurnal Riset Multidisiplin dan Inovasi Teknologi
Publisher : PT. Riset Press International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59653/jimat.v3i03.1979

Abstract

The research goal is analyze the influence of ESG ratings on financial ratios. Financial ratio studied is profitability, with ROA as an indicator, in companies listed with ESG values ​​on the Indonesia Stock Exchange. This study seeks to address the issue of how companies maintain their financial resilience and stability. This is based on the phenomenon of GHG emissions from research by the European Department of Communications in 2024. Quantitative methods were used to examine 13 samples consisting of 5 companies in the energy sector and 8 companies in the infrastructure sector from 2019-2023. The sample size was selected using a purposive sampling method. Data analysis techniques used were descriptive statistical analysis and regression analysis, processed using IBM SPSS version 26. Meanwhile, data tabulation was performed using Microsoft Excel. The results of this study indicate that ESG ratings have a significant positive effect on the profitability financial ratio with ROA as an indicator. This is supported by the robustness test results using the regression method with the addition of control variables, proving the model's robustness. Based on these results, the implications of this study are that it can serve as a reference for companies implementing ESG to improve their ROA, and for investors when selecting companies to invest.
Penggunaan Metode Single Exponential Smoothing dalam Peramalan Produksi Buah Nanas Simon, Gusman
Jurnal Riset Multidisiplin dan Inovasi Teknologi Том 3 № 03 (2025): Jurnal Riset Multidisiplin dan Inovasi Teknologi
Publisher : PT. Riset Press International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59653/jimat.v3i03.1981

Abstract

Forecasting is an activity that uses past data to predict future conditions. By using historical data on pineapple production levels, forecasting is necessary as a projection analysis that supports the concept of commodity development and the design of planting, production, and distribution management programs. Based on data patterns over the past 12 years, forecasting is carried out using the single exponential smoothing method. The purpose of this study is to forecast the level of pineapple production in Lampung Province in 2025. The data used is the pineapple production level from 2013 to 2024, obtained from the Lampung Province BPS virtual website. Alpha, as a smoothing coefficient in the forecast, is selected using the Solver facility in MS. Excel to obtain the lowest MAPE value. Searching for alpha values ​​in the range of 0 to 1 produces a value of 0.941434907646866. The forecasting results show that the production level in 2025 is 6991081.608 quintals, with a MAPE value of 13.099%, which indicates a good level of forecasting accuracy.
Hyperparameter Optimization Using Grid Search and Random Search to Improve the Performance of Prediction Models with Decision Trees Sholeh, Muhammad; Lestari, Uning; Andayati, Dina
Jurnal Riset Multidisiplin dan Inovasi Teknologi Том 3 № 03 (2025): Jurnal Riset Multidisiplin dan Inovasi Teknologi
Publisher : PT. Riset Press International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59653/jimat.v3i03.2025

Abstract

Hyperparameter selection to obtain optimal accuracy results is an important factor in improving model performance in data science. This study discusses a comparison of two hyperparameter optimization methods, namely Grid Search and Random Search, in the Decision Tree Classifier algorithm using the Breast Cancer Wisconsin (Diagnostic) Dataset from the UCI Machine Learning Repository. The dataset contains 569 samples with 30 numerical features describing the characteristics of breast cancer cells, such as mean radius, texture, perimeter, area, and smoothness, which are classified into two classes, namely malignant and benign. This study uses the CRISP-DM approach, which includes the stages of business understanding, data understanding, data preparation, modeling, and evaluation. In the modeling stage, three testing scenarios were conducted, namely the Decision Tree model without tuning, the model with Grid Search optimization, and the model with Random Search optimization. Performance evaluation was carried out using accuracy, precision, recall, and F1-score metrics. The results showed that hyperparameter optimization had a significant effect on model performance. The Decision Tree model without tuning produced an accuracy of 92.98%, while the model with Grid Search achieved the highest accuracy of 95.61%, and Random Search obtained an accuracy of 97.37%. Thus, it can be concluded that Grid Search provides the most optimal results in finding the best parameter combination, even though it requires longer computation time compared to Random Search.
Factors Affecting the Use of Mobile Banking as a Tool for Transactions and Financial Recording Wardhatul Islamyi, Fiya; Suryaningrum, Diah Hari
Jurnal Riset Multidisiplin dan Inovasi Teknologi Том 3 № 03 (2025): Jurnal Riset Multidisiplin dan Inovasi Teknologi
Publisher : PT. Riset Press International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59653/jimat.v3i03.2065

Abstract

This investigation seeks to elucidate the determinants that affect individuals' attitudes and intentions concerning the utilization of mobile banking by employing the frameworks of the Technology Acceptance Model (TAM) also the Unified Theory of Acceptance and Use of Technology (UTAUT). The factors in question are perception of security, perception of ease of use, perception of usefulness, also social influence. This research constitutes a quantitative analysis that employs primary data sources. The study’s population are undergraduate accounting students at 3 Universitas Pembangunan Nasional Veteran. The sampling’s technique utilized is purposive sampling with a total of 141 student respondents. This study employs the PLS SEM analytical method, facilitated by SmartPLS software version 4.0. The outcomes of this investigation demonstrate that the perception of security, perception of usefulness, perception of ease of use, also social influence exert a positively and statisically significant impact to attitudes towards the adoption of mobile banking. Additionally, attitudes toward mobile banking usage affect the intention to use mobile banking services. The implications of these findings demonstrate the importance of understanding mobile banking user behavior, both to strengthen the theoretical foundation of technology adoption models and to provide practical value to the banking sector in designing more effective digital strategies.

Page 13 of 13 | Total Record : 124

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