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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.
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.