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All Journal Al-Hijr: Journal of Adulearn World Journal International of Lingua and Technology Journal International Inspire Education Technology (JIIET) World Psychology Journal Markcount Finance Journal International Dakwah and Communication Lingeduca: Journal of Language and Education Studies International Journal of Educational Narratives Rechtsnormen Journal of Law Sharia Oikonomia Law Journal Journal Emerging Technologies in Education Journal of World Future Medicine, Health and Nursing
Zou, Guijiao
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Humanities Computer Science & IT Economics, Econometrics & Finance Education Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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Optimizing Waqf as a Socio-Economic Financing Instrument in the Digital Era Sudi, Didih Muhamad; Sarif, Akbar; Wang, Yuanyuan; Zou, Guijiao
Sharia Oikonomia Law Journal Vol. 2 No. 2 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/solj.v2i2.1157

Abstract

Waqf, an important Islamic philanthropic tool for social and economic financing, has a long history. However, the management and distribution of waqf often hinders wider potential benefits. Information technology can be a useful tool to overcome these various obstacles in the current digital era. The aim of this research is to identify various technologies that can be used to optimize waqf management. Specifically, this research aims to identify technologies that can be used to increase efficiency and transparency in waqf management, evaluate how the application of these technologies impacts the effectiveness of waqf management, and make strategic recommendations for waqf managers and other stakeholders. Data was collected through in-depth interviews with waqf managers, Islamic economic experts and information technology experts. In addition, annual reports of waqf institutions, government policies related to waqf, and academic literature on the digitalization of waqf management were analyzed. Thematic analysis techniques are used to find main research patterns and themes. The research results show that using digital technology in waqf management has many major advantages. Technologies such as smart contracts and blockchain can increase the security and transparency of waqf transactions, reduce the possibility of abuse, and enable more effective audits. In addition, wider waqf fundraising is made possible by digital-based crowdfunding platforms. This research finds that digital technology has great potential to optimize waqf management as a socio-economic financing tool. This technology can overcome many of the traditional problems faced by waqf management, such as lack of transparency and efficiency.
Early Detection of Developmental Disorders Through Machine Learning Algorithm Judijanto, Loso; Zou, Guijiao; Zani, Benny Novico; Efendi, Efendi; Jie, Lie
World Psychology Vol. 3 No. 3 (2024)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/wp.v3i3.710

Abstract

Machine learning algorithms have the ability to analyze huge amounts of data and discover patterns that may not be visible to humans. Machine learning offers new hope for faster, more accurate, and cheaper screening for early detection of developmental disorders. This research was conducted with the aim of developing an effective and efficient machine learning algorithm for analyzing child development data. Apart from that, it is also to identify the most relevant features and indicators for the detection of early developmental disorders. The method used by researchers in researching the Detection of Developmental Disorders through Machine Learning Algorithms is to use a quantitative method. The data obtained by researchers was obtained from the results of distributing questionnaires. The distribution of questionnaires carried out by researchers was carried out online using Google From software. The results of data acquisition will also be tested again using the SPSS application. From the research results, it can be seen that this research is expected to produce a model that is not only accurate, but can also be implemented in the wider health system to provide maximum benefits for society. And can improve children's health by enabling faster detection and intervention. Ultimately, this may improve long-term outcomes for children with developmental disorders. From this study, researchers can conclude that with advances in information technology, machine learning-based applications can be accessed via mobile devices and online platforms, allowing initial screening to be carried out easily by parents and educators, even before consulting a medical professional. In recent years, machine learning (ML) technology has shown that it has enormous potential for application in various fields, including health and medical care.
Maintenance of Regional Languages and Traditions Through the Preservation of The Togal Manika Makean Tribe of North Maluku Ajwan, Alkadri; Nada, Anwar; Wang, Yuanyuan; Zou, Guijiao
Lingeduca: Journal of Language and Education Studies Vol. 2 No. 3 (2023)
Publisher : Yayasan Pedidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/lingeduca.v2i3.493

Abstract

Language maintenance need to be done for the sake of non-existant languages. The extinction of language influences of local wisdom and make disappearance of the nation's assets. One way can be done is to preserve togal manika: a combination of music, dance, and song. This art comes from the island of Makean with the terms Makean Luar and Makean Dalam in North Maluku. This study explain (1) Diglosi that occurs in the Island of Makean, North Maluku, and explain (2) efforts to preserve the language of togal manika. Data collection using observation and interview. The results of the study found that (1) diglossia was occurred in Low Language in the familial sphere kinship, neighborhood, and friendship. In Higher Language, diglosi was occured in all domains: education, government, religion. Efforts to preserve the language of the Togal Manika.  
Drill Method to Improve Students' Prayer Movements Nurjannah, Ridha; Tabroni, Imam; Wang , Yuanyuan; Zou, Guijiao
Journal Emerging Technologies in Education Vol. 1 No. 5 (2023)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jete.v1i5.499

Abstract

Background. The drill method is one form of method used in activity-based learning that can train motoric or movement in students. Purpose. In this study, researchers used the Classroom Action Research method (action research) using the design of Kemmis and Taggart in the form of a spiral cycle which includes the design stages; first planning (planning), second action (acting). Method. third observation (observation), fourth reflection (reflection). Based on the results of class action, the prayer movements of MDA students. Al-Idrus experienced an 80% improvement from the pre-action results. Results. In cycle I meeting I there were 8 students categorized as skilled (80%), 2 students categorized as starting to be skilled (20%). Conclusion. And cycle II meeting II there were 8 learners categorized as very skilled (80%), 2 learners categorized as skilled (20%)
Co-Authors Abdul Karim Ajwan, Alkadri Amelia Amelia Apriansyah, Ryan Aulia, Salshabila Baso Intang Sappaile, Baso Intang Cian, Lung DAMANIK, INDRA JAYANTI Demsky, Caitlin Didih Muhamad Sudi Efendi Efendi Fadillah, Andri Fikri, Muammar Al Firdaus Yuni Dharta Ghassani, Amalina Guilin, Xie Gunadi , Syahrul Harapan, Edi Jiao, Deng Jie, Li Jie, Lie Jixiong, Cai Judijanto, Loso Karliena, Yayuk Kurniawati, Hartin Lewar, Emanuel Suban Bala Magfiroh, Magfiroh Marito, Winanda Masnuna, Masnuna Mukti, Hamdani Ali Mutmainah Mutmainah Nada, Anwar Nafsiyah, Fitrotun Nida, Rahma Sofia Nugraha, Ilah Nursolihah Nurjannah, Ridha Purba, Benarita Raden Firman Nurbudi Prijambodo Rahayu, Wedi Pratanto Ramadani, Safti Witria Reviandari Widyatiningtyas, Reviandari Sahirin, Rahmat Sari, Roza Muspita Sarif, Akbar Satyaninrum, Ika Rahayu Setyawan, Gogor Christstmass Siti Amaroh Suherman Sujatmiko, Wandi Syamsu Rijal Tusi, Juandri Seprianto utama, cholidah Vanchapo, Antonius Rino Wang , Yuanyuan Yuanyuan Wang, Yuanyuan Zani, Benny Novico