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All Journal Indonesian Journal of Multidisciplinary Science INJURITY: Journal of Interdisciplinary Studies BULLET : Jurnal Multidisiplin Ilmu
Supriadi, Imam
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Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences

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Pengaruh Arus Kas Operasi Dan Laba Akuntansi Terhadap Tingkat Keuntungan Saham Nurlailatul Laifah, Ika; Adi Rahardjo, Kusuma; Supriadi, Imam; Muchran Noor, Gusti
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 5 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

This research aims to examine the influence of Operating Cash Flow and Accounting Profit on the level of stock profits because in reality there are several differences between the relationship between each variable and the level of stock profits for consideration by potential investors before investing in shares. This research uses a quantitative approach with secondary data as a source of information. The theory used is signal theory. The independent variables in this research are Operating Cash Flow and Accounting Profit, while the dependent variable in this research is the stock profit rate. The population in this study was 99 companies. This research uses a purposive sampling technique with a sample of 31 companies and produces observation sample data of 93 companies in the period 2020 – 2022. The analysis technique used is Statistical Product and Service Solutions (SPSS) version 25. The results of this research show that Operating Cash Flow has an effect positive effect on stock profit levels, while accounting profits have a negative effect on stock profit levels. Simultaneously, these two independent variables influence the level of stock profits. It is hoped that potential investors and issuers will always pay attention to liquidity as one of the highlights when considering stock investment.
Competitive Intelligence Strategy: Study on Increasing the Superiority of MSME in Palembang City Ikhsan Anoraga, Gagah; Rusliwa Somantri, Gumilar; Supriadi, Imam
Interdiciplinary Journal and Hummanity (INJURITY) Vol. 2 No. 12 (2023): INJURITY: Journal of Interdisciplinary Studies.
Publisher : Pusat Publikasi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58631/injurity.v2i12.100

Abstract

BI which is actually technology-based has provided tools and software that can be utilized by every company and MSME to increase competitiveness and business success. However, there are still many MSME players who have not utilized this technology. The purpose of this study is to analyze the stages of competitive intelligence strategies that can increase the competitiveness and success of MSME businesses. Analyze business intelligence implementation strategies in improving the competitiveness and success of MSME businesses. This research uses qualitative methods with a case study approach with SWOT analysis and Porter Theory. The focus of research will be carried out on MSMEs that have superior products in Palembang City, namely Songket and Pempek. The techniques used to collect data are: interviews, observation, and documentation. Data analysis in this study was carried out in 6 stages. The results of this study show that every MSME needs the right strategy that can include market development, or even strategic partnerships to overcome various threats and take advantage of opportunities in the Palembang MSME market by modernizing their business activities. The competitive strategy of MSME development intelligence to increase its competitiveness and business success includes local resources and expanding strong business networks, expanding marketing reach so that products will be better known by consumers, innovation in MSME business models, better decision making through knowledge and understanding of intelligence on data and information can provide excellence, and optimal MSME management such as data collection of all business activities which is more organized and planned. Obstacles and challenges from the implementation of competitive intelligence strategies in increasing the competitiveness and success of MSME businesses in the region, lack of technological knowledge and inability to compete in data utilization are threats that need to be overcome. So that with support from the local government or assistance programs for MSMEs through training, they can overcome these obstacles. 
Implementation of IOT Remote Control-Based Solar Panel Cleaning System Innovation on Mobile Tower Riza, Febri Miftaqul; Batubara, Haris Fadhillah; Supriadi, Imam; Widiyanto, Agus; Yuko
Indonesian Journal of Multidisciplinary Science Vol. 4 No. 10 (2025): Indonesian Journal of Multidisciplinary Science
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/ijoms.v4i10.1167

Abstract

The use of solar panels as an alternative energy source in mobile towers is growing along with the increasing need for environmentally friendly energy. However, the build-up of dust and dirt on the surface of the solar panel can reduce energy efficiency by up to 15–30%. This research aims to implement an Internet of Things (IoT)-based solar panel cleaning system with remote control to overcome this problem. The system allows for automatic monitoring and control of panel cleaning remotely, reducing reliance on manual labor and operational costs. The results of the implementation show an increase in energy efficiency, cost savings, and a positive impact on environmental sustainability. These results have three key implications: (1) technical - proving IoT automation effectively maintains renewable energy systems; (2) economic - establishing a cost-effective alternative to manual maintenance; and (3) environmental - reducing diesel dependency by 40% at test sites. The solution offers telecom operators a scalable model for sustainable infrastructure maintenance, with potential applications in other remote solar installations. Future research should explore AI integration for predictive cleaning scheduling.
Co-Authors Adi Rahardjo, Kusuma Batubara, Haris Fadhillah Ikhsan Anoraga, Gagah Muchran Noor, Gusti Nurlailatul Laifah, Ika Riza, Febri Miftaqul Rusliwa Somantri, Gumilar widiyanto, Agus Yuko