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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 Journal of Computer Science Advancements Journal of Moeslim Research Technik Journal of Selvicoltura Asean International Journal of Educatio Elementaria and Psychologia Research Psychologie, Orientation et Conseil Journal of Tecnologia Quantica Journal of Social Entrepreneurship and Creative Technology
Zou, Guijiao
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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%)
Threeyasa Group Banyuwangi Company Profile Design Arbekti Arman, Shevti; Wang, Yuanyuan; Zou, Guijiao
Journal of Computer Science Advancements Vol. 1 No. 1 (2023)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jsca.v1i1.404

Abstract

In this era of industrial revolution, it is undeniable that development progress is increasing to meet human needs in carrying out their activities. One of the groups that play an important role in this field is a company that focuses on tourism services. ThreeYasa Group is a Travel Agency business that was founded in 2020. Threeyasa Group is still fairly conventional in conducting promotions and communication with customers, namely utilizing the exchange of short messages only. ThreeYasa Group needs a digital platform to introduce its business to a wider audience. Company Profile is an effective promotional media design that can attract consumer attention and build cooperation with business people. Designing a company profile can make it easier for the owner to manage his business and make his business more dynamic. software development in making a company profile using the waterfall model. system analysis using interviews and observation methods. in visualizing actors with the system using usecase diagrams implemented using StartUML software. while coding uses the php programming language with Notepade++ software. Testing the system using Black Box Testing.
Number Board Media to Stimulate the Symbolic Thinking Ability of Children Aged 5-6 Years Saripah, Ipah; Tabroni, Imam; Wang, Yuanyuan; Zou, Guijiao
Journal of Computer Science Advancements Vol. 1 No. 2 (2023)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jsca.v1i2.456

Abstract

Children will experience a golden period that is very important and should not be missed until they are 3 years old. Because during these times, children's cognitive abilities are still growing and developing rapidly. In fact, about 80% of children's cognitive skills are optimized in the first 3 years of life, and up to 90% of their abilities will continue to develop until they reach the age of 5. Media is a tool that can be used as an intermediary in stimulating all aspects of development in early childhood both aspects of moral and religious values, physical motor aspects, language aspects, social emotional aspects and cognitive aspects. To stimulate all aspects of early childhood development cannot be separated from learning media because for early childhood learning is done through play using learning media both real media, audio media, visual media, environmental media and audio-visual media, so that learning activities in early childhood run effectively. This article will discuss how the influence of number board media in stimulating the symbolic thinking ability of children aged 5-6 years in Sumurugul Village.
Manipulative Learning Media as an Effort to Improve Understanding of Tajweed Learning Sa’adah, Nur; Tabroni, Imam; Wang, Yuanyuan; Zou, Guijiao
Journal of Computer Science Advancements Vol. 1 No. 2 (2023)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jsca.v1i2.478

Abstract

This class action research aims to improve students' understanding of tajweed learning through the application of manaipulative media in class IV MDTA Al-Mubarokah. The data needed in this study using Cycle I and II techniques. The results showed that the level of understanding of students towards learning tajweed through the application of manipulative media had reached 80% in cycle I and 90% in Cycle II. With the application of manipulative learning media, of course, to make it easier for students to be able to think in understanding the concept of tajweed learning conveyed by the teacher. Thus, teachers must be creative and innovative in learning, how teachers can create interesting and fun learning methods and media to motivate students to learn tajweed.
Index Card Match Learning Method to Improve Learning Concentration Raihan, Paqih; Tabroni, Imam; Wang, Yuanyuan; Zou, Guijiao
Journal of Computer Science Advancements Vol. 1 No. 2 (2023)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jsca.v1i2.480

Abstract

This study was motivated by the results of observations of researchers in class XI MA Daarul Ma'arif Pasawahan students in the PAI learning process in class. From the observation, it is known that there are still many students who do not pay attention to the teacher's explanation when delivering material in class. The concentration of students' learning is low, namely 62.5% of 29 people with a minimum completeness criteria of 75. Classical completeness is declared incomplete. This study aims to determine that the application of the index card match learning method can increase the concentration of PAI learning in class XI MA Daarul Ma'arif Pasawahan. This research was conducted in class XI MA Daarul Ma'arif Pasawahan. This research was conducted from February 2023 to May 2023. The subjects of this study were grade XI students with a total of 29 students consisting of 19 female students 10 male students. The form of this assessment is a class action assessment (PTK). The results showed that the application of the index card match method can increase the concentration of PAI learning in class XI students of MA Daarul Ma'arif Pasawahan in 2022/2023. The concentration of student learning before PTK was 66.7 with a category of less and classical completeness was 62.5% with an incomplete category. Learning concentration of cycle I meeting 1 was 75.8 with sufficient category and classical completeness was 87.5% with complete category. Learning concentration of cycle I meeting 2 was 79.2 with sufficient category and classical completeness was 91.7% with complete category. Cycle II learning concentration with meeting 3 was 82.1 with good category and classical completeness was 95.8% with complete category. Learning concentration of cycle II with meeting 4 was 87.9 with good category and classical completeness was 100% with complete category.  
The Influence of Artificial Intelligence Technology on User Experience in E-Business Haerawan, Haerawan; Mudinillah, Adam; Zou, Guijiao; Anggara, Reddy
Journal of Computer Science Advancements Vol. 2 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i6.1623

Abstract

The rapid advancement of artificial intelligence (AI) technology has transformed the landscape of e-business, significantly influencing user experience. AI-driven tools such as chatbots, personalized recommendations, and predictive analytics are becoming integral to e-business platforms. Despite widespread adoption, understanding the extent to which AI enhances user satisfaction, engagement, and loyalty remains an area requiring further exploration. This research examines the influence of AI technology on user experience in e-business, focusing on its practical applications and user perceptions. The study adopts a mixed-method approach, combining quantitative surveys with qualitative interviews. Data were collected from 300 e-business users and analyzed to assess key metrics such as usability, efficiency, and satisfaction. Additionally, in-depth interviews with industry experts provided insights into the strategic implementation of AI technologies. The findings reveal that AI significantly enhances user experience by offering personalized interactions, streamlining navigation, and improving response times. Users reported higher satisfaction levels when AI-driven features were implemented effectively. However, concerns about data privacy and algorithmic biases emerged as critical challenges, indicating the need for balanced approaches in AI deployment. The study concludes that while AI technology holds immense potential to revolutionize user experience in e-business, its effectiveness depends on strategic implementation and addressing user concerns. Future research should explore the integration of AI with other emerging technologies to further optimize user interactions in digital environments.
Transportation Engineering Revolution: Towards Sustainable and Intelligent Mobility Jixiong, Cai; Wang, Yuanyuan; Zou, Guijiao
Journal of Moeslim Research Technik Vol. 1 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

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

Abstract

The revolution in the field of transportation engineering has been a major highlight in efforts towards achieving more sustainable and intelligent mobility. This development is triggered by increasing awareness of the negative impacts of traffic congestion and air pollution on society’s quality of life and the environment. This research aims to investigate and identify innovative solutions to address existing transportation problems, focusing on developing more efficient, environmentally friendly, and sustainable transportation systems. The approach used in this research is a comprehensive analysis of recent developments in transportation technology and case studies to evaluate the implementation of proposed solutions. Based on the analysis, the research results show that the development of transportation technology based on renewable energy, the application of artificial intelligence in traffic management, and the promotion of efficient public transportation are critical steps in achieving sustainable and intelligent mobility. The conclusion of this research emphasizes the importance of adopting innovative solutions in addressing modern transportation challenges. We can build transportation systems that promote more sustainable, efficient, and environmentally friendly mobility by leveraging the latest technology and implementing appropriate policies.
Co-Authors Abdul Karim Ajwan, Alkadri Amelia Amelia Anggara, Reddy Apriansyah, Ryan Arbekti Arman, Shevti Aulia, Salshabila Barra, Ling 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 Haerawan, Haerawan Harapan, Edi Hartin Kurniawati Ika Rahayu Satyaninrum Intes, Amina Ipah Saripah, Ipah Jiao, Deng Jie, Li Jie, Lie Jixiong, Cai Judijanto, Loso Karliena, Yayuk Lewar, Emanuel Suban Bala Magfiroh, Magfiroh Marito, Winanda Masnuna, Masnuna Mudinillah, Adam Mukti, Hamdani Ali Mutmainah Mutmainah Nada, Anwar Nafsiyah, Fitrotun Nida, Rahma Sofia Nugraha, Ilah Nursolihah Nur, Rezeki Nurjannah, Ridha Purba, Benarita Raden Firman Nurbudi Prijambodo Rahayu, Wedi Pratanto Rahmi, Sri Nur Raihan, Paqih Ramadani, Safti Witria Reviandari Widyatiningtyas, Reviandari Sabir, Arisman Sahirin, Rahmat Sari, Roza Muspita Sarif, Akbar Sa’adah, Nur 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