Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
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This Author published in this journals
All Journal Journal of Accounting Science Journal of Electrical Engineering and Computer (JEECOM) JITEEHA: Journal of Information Technology Applications in Education, Economy, Health and Agriculture
Mualim, Wildan
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering

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Android-Powered Home Lighting: A Control and Monitoring System for Smart Living Sobri, Arifian; Mualim, Wildan; Riswandha, M. Noval
Journal of Information Technology application in Education, Economy, Health and Agriculture Vol. 1 No. 2 (2024): June
Publisher : Lumina Infinity Academy Foundation

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

Abstract

This research aims to address the manual control and maintenance of community lights by developing a remote light controller and detector using the Internet of Things (IoT) concept. The process involves the use of an Android-based smartphone application to control and monitor the lights. The system utilizes a lamp current, which is charged on the ledge, and a relay driver to turn the lights on or off. The Wemos microcontroller, with the ESP8266 Wi-Fi module, serves as the link between the smartphone and the server. The results of the research show that the photodiode light sensor operates effectively when activated, and the current sensor can determine the number of lights that are turned off. Users can access the control and monitoring of the lights through the Android application, allowing them to control the lights remotely and keep track of the number of lights that are functioning properly
Artificial Intelligence in The Application of ESG to Improve Company Reputation: The Moderating Role of Financial Performance Indah Rakhma Ningtyas, Harfiahani; Mualim, Wildan; Nusron, Anis
Journal of Accounting Science Vol. 10 No. 1 (2026): January
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jas.v10i1.2047

Abstract

General Background: The implementation of Environmental, Social, and Governance (ESG) practices has become a global focus as a strategic mechanism for enhancing corporate reputation and ensuring long-term sustainability. Specific Background: In the Indonesian context, existing studies mostly emphasise the relationship between ESG disclosure and financial performance, while empirical research that integrates artificial intelligence (AI) into ESG practices and analyses its impact on corporate reputation is still limited. Knowledge Gap: There is a lack of evidence regarding the impact of AI-supported ESG on corporate reputation, especially when financial performance is positioned as a moderating variable, and previous studies rarely use AI-specific ESG indicators or focus on reputation as the main outcome. Objective: This study aims to analyse the influence of AI-supported ESG on corporate reputation and evaluate the moderating role of financial performance. Method: This study uses a quantitative approach with secondary data from 425 Indonesian manufacturing companies in the basic and chemical, mixed goods, and consumer goods sectors, analysed using multiple linear regression and Moderated Regression Analysis (MRA). Results: Findings indicate that AI-supported ESG does not significantly influence corporate reputation independently; however, financial performance (ROA) significantly strengthens this relationship. Novelty: This study expands the ESG literature by integrating AI-based ESG measures and placing corporate reputation as the primary outcome variable with financial performance as a moderator. Implications: The results suggest that companies can enhance the reputational benefits of AI-based ESG initiatives when supported by strong financial performance, providing strategic insights for managers and policymakers in emerging markets.
Utilizing MBTI to Enhance Career Fit for Information Technology Students Mualim, Wildan; Roji, M. Fatkhur; Astrella, Nathania Bayu
Journal of Electrical Engineering and Computer (JEECOM) Vol 8, No 1 (2026)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v8i1.14616

Abstract

A significant challenge faced by students in Information Technology (IT) programs is the mismatch between their personality traits and career paths. Many students struggle to determine the right career trajectory in the IT industry, often choosing based on market trends or peer influence rather than considering the alignment of their personality with job requirements. The lack of a psychometric-based counseling system to help align personality with career choices further exacerbates this issue. This study aims to explore the effectiveness of using the Myers-Briggs Type Indicator (MBTI) to align students' personalities with their career preferences. The research was conducted with a sample of 80 final-year students from the Information Technology and Systems program at Yadika Institute of Technology and Business Pasuruan. The findings revealed that the majority of students exhibited introverted personality traits, with INFP and INTP being the most common types. A statistically significant correlation was found between MBTI types and preferred career fields. For instance, students with INFP and INTP types leaned toward creative and analytical professions such as UI/UX design, software engineering, and data science, while ESTJ types favored managerial roles. Additionally, 73% of students reported high satisfaction with the career recommendations provided based on their MBTI results. This research supports the use of MBTI as an effective tool for career counseling, offering a more personalized approach to career decision-making.
Co-Authors Indah Rakhma Ningtyas, Harfiahani Nathania Bayu Astrella Nusron, Anis Riswandha, M. Noval Roji, M. Fatkhur Sobri, Arifian