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All Journal Jurnal EECCIS Psychological Research and Intervention JOURNAL OF HUMANITIES, SOCIAL SCIENCES AND BUSINESS (JHSSB) International Journal of Waqf
Abdullah, Yahya
Unknown Affiliation
Economics, Econometrics & Finance Engineering Law, Crime, Criminology & Criminal Justice Social Sciences

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Waqf Fundraising Strategies: A Comparison between Indonesia and Malaysia Abdullah, Yahya; Rusydiana, Aam Slamet
International Journal of Waqf Vol. 3 No. 2 (2023): International Journal of Waqf
Publisher : SMART Insight

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58968/ijw.v3i2.428

Abstract

The article aims to understand and analyze the various strategies that have been implemented in raising waqf funds in Indonesia and Malaysia. The data sources used come from Scopus indexed journals, ensuring the accuracy and credibility of the information. The results of the research show that there are ten main strategies that have been implemented in the context of waqf in Indonesia and Malaysia, namely digitalization and information technology strategies, government policy strategies, local cultural system strategies, management strategies, marketing and waqf objects, new strategies offered, strategies to strengthen legal legality, strategies for understanding the behavior of waqf donors, waqf education and socialization strategies, waqf institutional strategies and word of mouth strategies. Thus, this article provides a comprehensive view of waqf fund collection strategies in Indonesia and Malaysia, which can be a basis for further development in the context of Islamic finance and waqf fund management.
Improving Mental Health during the COVID-19 Pandemic through Online Psychoeducation Fathiyah, Kartika Nur; Widyastuti, Tria; Setiawati, Farida Agus; Romadhani, Rahmatika Kurnia; Ayriza, Yulia; Abdullah, Yahya; Lilmuallafah, Lu'lu Inayatul
Psychological Research and Intervention Vol. 3 No. 2 (2020)
Publisher : Faculty of Psychology, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/pri.v3i2.41385

Abstract

The COVID-19 pandemic alters many aspects of everyday life that we have grown accustomed to. The enactment of various new policies to curb the spread of the disease, i.e., social distancing, work and study from home, restrictions on large-scale activities and restriction in travelling, compel each one of us to adjust. Not to mention the fear of being infected with COVID-19. These conditions led to various psychological problems such as anxiety, low hope, and negative emotions. Efforts to improve people's mental health are urgently needed. One such step is to increase one's understanding of self-management in facing psychological problems due to COVID-19. This study aims to improve the community's mental health, namely the residents of Blotan hamlet during the COVID-19 pandemic through online self-management psychoeducation. To test the effectiveness of psychoeducation, this study used a one-group pre and post-test design. A total of 31 subjects participated in the activity in full. We can infer the effectivity through the anxiety score, hope, and positive emotions on the pre and post-test measurements. The results found that self-managed psychoeducation facing psychological problems during the pandemic significantly increased positive emotions (t = -2,753, df = 30, and p <.05). As for the measurement of anxiety and hope, there was no significant change due to the subject's anxiety score and hope were already in the medium category.
NEWS MEDIA TEXT ANALYSIS REGARDING PERSONAL DATA LEAKAGE ON THE MAIN PAGE OF HARIAN KOMPAS Purnama, Ade; Mayasari, Diyah; Abdullah, Yahya
JOURNAL OF HUMANITIES, SOCIAL SCIENCES AND BUSINESS Vol. 2 No. 1 (2022): NOVEMBER
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/jhssb.v2i1.476

Abstract

This study attempts to determine how personal data leaks are covered in Harian Kompas in order to help readers comprehend the significance of the government's role in addressing such leaks by offering logical justifications from different perspectives. This study uses a qualitative methodology with a media text analysis approach using agenda setting theory, framing and priming theory. The primary data used in this study is a collection of news articles related to data leaks in the Harian Kompas, namely 5 news on the front page that appeared on September 12 to 16 2022 using documentation techniques as a data collection method. According to the findings of the analysis, Harian Kompas coverage of personal data leaks can be concluded if the reporting carried out by Harian Kompas in the context of personal data leaks is an agenda setting that is made and arranged in such a way with continuous publication on successive dates and times, and the discussion of this data leak focuses or frames on the role of government. This aims to criticize the government for being negligent and deemed to have failed in protecting the rights and data of its citizens which had been leaked many times, culminating in the case of leaking personal data of 1,3 billion sim card registration data, which until then had not been taken concretely by the government.
Marble Surface Anomaly Detection Using Autoencoder Architecture Abdullah, Yahya; Öz, Cemil
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 18 No. 1 (2024)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v18i1.1685

Abstract

Marble is a material that is commonly used for building components such as furniture, flooring, countertops, bathrooms, windows in homes etc. Due to the many uses of marble in various aspects, marble surface detection is important for this industry to improve quality and avoid financial problems that may occur. In previous research, many methods such as wavelet transform, Gabor transform, co-occurrence matrix and artificial neural network were implemented in defect detection (fabric or other tasks). In this study we built a platform that aims to detect anomalies on marble surfaces using Autoencoders architecture, Keras library and Python programming language. To test the model that has been created, a marble surface dataset obtained from kaggle.com, one of the largest dataset provider sites, was used and an accuracy of 89% was obtained. The conclusions of this study include the effectiveness of this method in detecting anomalies, the advantages of the autoencoder architecture compared to other methods, and the potential practical applications of these findings in various fields. By utilizing the autoencoder's ability to reconstruct data, anomaly detection can be performed by comparing the reconstructed results with the original data. The main advantage of this approach lies in its ability to tackle the problem of anomaly detection without the need for class labels
Co-Authors Aam Slamet Rusydiana, Aam Slamet Farida Agus Setiawati Kartika Nur Fathiyah Lilmuallafah, Lu'lu Inayatul Mayasari, Diyah Öz, Cemil PURNAMA, ADE Rahmatika Kurnia Romadhani Tria Widyastuti Yulia Ayriza