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Optimalisasi Peran Masjid Baitussalam Sebagai Pusat Pendidikan Nonformal dan Pemberdayaan Masyarakat Kurniari, Akhmad; Ananda P, Deanira; Resati, Hanifa Tun; Fauziyyah, Ghina; Yusuf, Reza; Sahal, Muhammad Sofwan; Fauziah, Kholifatul
Prosiding Seminar Nasional Program Pengabdian Masyarakat Vol. 8 No. 1 (2025): Rekonstruksi Pendidikan di Indonesia
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/ppm.81.1348

Abstract

The preliminary study through observation shows that the TPA has a limited number of teachers, so TPA cannot be done regularly or only when there are teachers. In addition, in the mosque area there is an empty cupboard that has the potential to be utilized as a reading corner to increase the interest in reading of the congregation. This Student Service Program aims to (1) strengthen the role of the Baitussalam Mosque as a non-formal education center through improving the quality of teaching at the Al-Qur'an Education Park (TPA), (2) provide more adequate literacy facilities through the procurement and management of reading corners, (3) beautify the mosque environment to welcome the holy month of Ramadan. This program coincides with the month of Sha'ban which indicates the presence of Ramadan in the near future. This program was implemented through several stages, namely preparation, implementation, and monitoring and evaluation. The results of this program are an increase in the number of TPA teachers from the comunity service team so that TPA can be routinely carried out, the availability of a reading corner containing a collection of Islamic books and children's reading, and a tidier and more beautiful mosque in welcoming the month of Ramadan. In addition, the cleanliness of the mosque increased significantly, creating a more comfortable worship environment for worshipers.
Optimalisasi Proses Bisnis Pelatihan Berbasis Digital Pada Lembaga Kursus Dan Pelatihan Syntax Training Centre Fauziyyah, Ghina; Alijoyo, Franciskus Antonius
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i9.61430

Abstract

Transformasi digital telah menjadi pendorong utama dalam dunia pendidikan dan pelatihan, termasuk Lembaga Kursus dan Pelatihan (LKP), yang menuntut integrasi teknologi untuk meningkatkan efisiensi, kualitas, dan pengalaman pembelajaran. Syntax Training Centre (STC) menghadapi tantangan dalam mengoptimalkan proses bisnis yang masih banyak melibatkan sistem manual, seperti pendaftaran dan pengelolaan kelas, yang berpotensi menurunkan efektivitas operasional dan kepuasan peserta. Penelitian ini bertujuan untuk merancang model optimalisasi proses bisnis pelatihan berbasis digital yang terintegrasi, efektif, dan berfokus pada pengalaman pengguna di STC. Metode penelitian menggunakan pendekatan mixed-methods sequential explanatory design, melibatkan analisis kuantitatif terhadap inefisiensi proses eksisting melalui kuesioner dan observasi, diikuti studi kualitatif berupa wawancara mendalam dan FGD untuk menyusun model solusi berbasis Business Process Management (BPM) dan kerangka Technology-Organization-Environment (TOE). Hasil penelitian menunjukkan bahwa digitalisasi menyeluruh pada pendaftaran, manajemen kelas, evaluasi, serta sertifikasi mampu mengurangi waktu proses hingga 40% dan meningkatkan kepuasan peserta sebesar 30%. Model optimalisasi yang dihasilkan memberikan panduan implementasi bagi LKP sejenis dengan sumber daya terbatas, serta memberikan kontribusi teoritis pada pengembangan model adaptif BPM untuk pendidikan vokasi di Indonesia. Kata kunci: Optimalisasi proses bisnis, digitalisasi pelatihan, Business Process Management, Technology-Organization-Environment, pengalaman pembelajaran
Creative Economy Dynamics in the Era of Algorithmic Culture: Indonesia's Content Creator Strategy in Monetizing Content on TikTok and YouTube Shorts Platforms (Behavioral Economics Approach) Fauziyyah, Ghina
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 2 No. 11 (2023): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/kxvrpp29

Abstract

The development of Indonesia's digital creative economy is increasingly influenced by algorithmic culture, where platforms such as TikTok and YouTube Shorts dictate the visibility and monetization of content. Content creators are required to constantly adapt to the uncertain logic of platforms, creating unique and complex economic dynamics. This research aims to: (1) Map the monetization strategy of Indonesian content creators on the TikTok and YouTube Shorts platforms; (2) Analyze the influence of algorithmic culture on their economic decision-making; and (3) Explain the strategy through a behavioral economics approach. The research used the mixed-methods method sequentially (explanatory sequential). Qualitative data was collected through in-depth interviews with 20 content creators and content analysis. Quantitative data was obtained through a survey of 200 respondents to test the qualitative findings. Research reveals that creators adopt highly diversified monetization strategies to overcome algorithmic uncertainty. High levels of algorithmic literacy correlate with more consistent income. Key findings suggest that economic decision makers are heavily influenced by cognitive biases such as present bias (prioritizing instant rewards) and optimism bias (excessive expectations of viral success). In conclusion, a monetization strategy is a form of behavioral adaptation to algorithmic pressures. The implications of the findings highlight the need for improved algorithm literacy and policy support to create a more sustainable and less platform-dependent creative economy ecosystem, as well as the importance of behavioural economics approaches in understanding the platform economy.
Efektivitas Literasi Data dalam Kurikulum Merdeka untuk Meningkatkan Keterampilan Analitik Generasi Z Fauziyyah, Ghina
Jendela Pendidikan : Jurnal Ilmiah Keguruan dan Ilmu Pendidikan Vol 15 No 1 (2025): Jendela Pendidikan
Publisher : Fakultas Keguruan dan Ilmu Pendidikan - Universitas Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55129/jp.v15i1.3151

Abstract

Perkembangan era digital menuntut Generasi Z memiliki keterampilan analitik yang kuat, salah satunya melalui penguasaan literasi data. Kurikulum Merdeka yang diterapkan di Indonesia memuat literasi data sebagai bagian dari kompetensi abad ke-21, namun efektivitasnya dalam meningkatkan keterampilan analitik siswa belum banyak diteliti secara empiris. Penelitian ini bertujuan untuk menganalisis efektivitas literasi data dalam Kurikulum Merdeka terhadap keterampilan analitik Generasi Z serta mengidentifikasi faktor pendukung dan penghambat implementasinya. Metode penelitian menggunakan pendekatan kuantitatif dengan desain deskriptif-eksplanatori, melibatkan 200 siswa SMA yang dipilih secara purposive sampling. Instrumen berupa kuesioner skala Likert, observasi kelas, dan wawancara semi-terstruktur dengan guru. Analisis data dilakukan menggunakan regresi linier berganda serta analisis tematik. Hasil penelitian menunjukkan bahwa literasi data berpengaruh signifikan terhadap keterampilan analitik siswa (β = 0,62; p < 0,05), dengan skor tertinggi pada kemampuan membaca data (M=4,1) dan skor terendah pada kemampuan mengolah data (M=3,5). Faktor penghambat utama adalah keterbatasan pelatihan guru dan disparitas infrastruktur sekolah. Penelitian ini menyimpulkan bahwa literasi data efektif dalam memperkuat keterampilan analitik Generasi Z, namun implementasinya perlu diperkuat melalui pelatihan guru berbasis proyek, modul literasi data, serta penyediaan sarana digital yang merata. Temuan ini memberikan kontribusi teoretis bagi pengembangan literasi data dalam pendidikan Indonesia dan implikasi praktis bagi kebijakan Kurikulum Merdeka.
Analisis Keamanan Data pada Sistem Perbankan Digital di Indonesia: Tantangan dan Solusi dalam Era Transformasi Digital Fauziyyah, Ghina; Selamat, Rachmat; Tjahjadi, Djajasukma
Jurnal Inovasi Global Vol. 3 No. 8 (2025): Jurnal Inovasi Global
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jig.v3i8.396

Abstract

Penelitian ini bertujuan untuk menganalisis tantangan dan solusi terkait keamanan data dalam sistem perbankan digital di Indonesia, dengan fokus pada identifikasi masalah, kebijakan, dan teknologi yang diterapkan oleh bank digital. Metode penelitian yang digunakan adalah kualitatif dengan pendekatan studi kasus pada lima bank digital terkemuka di Indonesia. Data dikumpulkan melalui wawancara mendalam dengan manajer keamanan TI, kuesioner kepada karyawan berlisensi TI, observasi lapangan, dan analisis dokumen terkait kebijakan dan regulasi. Temuan utama menunjukkan bahwa tantangan terbesar yang dihadapi adalah klasifikasi data yang tidak sepenuhnya efektif, serta masalah terkait keamanan API dan kepatuhan terhadap regulasi. Meskipun berbagai solusi seperti multi-factor authentication (MFA) dan enkripsi data sudah diterapkan, kesenjangan dalam implementasi dan koordinasi antar departemen masih menjadi kendala. Penelitian ini menyarankan penerapan AI-driven data tagging, penguatan keamanan API, serta pelatihan rutin bagi seluruh staf untuk meningkatkan kesadaran dan efektivitas kebijakan keamanan. Penelitian ini diharapkan dapat memberikan wawasan praktis bagi bank digital dalam mengelola keamanan data, serta memberikan kontribusi bagi pengembangan kebijakan keamanan data yang lebih baik di sektor perbankan digital Indonesia.
The Role of Artificial Intelligence in Improving Customer Experience in The Global Hospitality Industry Padri, Abdul Robi; Sumiyati, Sumiyati; Fauziyyah, Ghina; Ridzki, Mohamad Maulana; Sagita, Ahmad Bahar
Hospitality Management and Operations Journal Vol. 2 No. 1 (2025): Hospitality Management and Operations Journal
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/hmoj.v2i1.7

Abstract

Digital transformation in the hospitality industry has driven the adoption of artificial intelligence (AI) as a strategic tool in improving service quality and customer experience. This research aims to explore how AI technologies, such as chatbots, facial recognition, predictive analytics, and smart room control, are implemented in the context of hotel operations and their impact on guest perception and satisfaction. Using a descriptive qualitative approach, data was collected through in-depth interviews with hotel management, questionnaires to licensed employees, as well as direct observation at a leading international hotel. The results show that AI is able to accelerate service processes, improve operational efficiency, and provide personalized experiences that have an impact on increasing customer loyalty. However, the findings also reveal challenges such as lack of employee training, guest resistance to automated services, and ethical issues of data privacy. The implications of this study suggest the need for a hybrid service approach between AI and human labor, as well as stronger education strategies and data protection policies. This research contributes to a comprehensive understanding of the role of AI in the hospitality sector and informs the formulation of customer-oriented technology-based service policies.
Web-Based Monitoring and Synchronization of Lecturers SKS Information System (Case Study of Muhammadiyah University Cirebon) Fauziyyah, Ghina; Solikhah, Mar’atus; Fransisca, Vika
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 3 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i3.958

Abstract

Institutions of higher education are increasingly embracing technology to enhance administrative processes and improve efficiency. This study presents a case study conducted at Muhammadiyah University Cirebon, focusing on the development and implementation of a web-based monitoring and synchronization system for lecturer SKS (Sistem Kredit Semester) information. The system aims to streamline the process of monitoring lecturer workload and credit distribution, thereby optimizing academic resource allocation. Through a combination of qualitative and quantitative research methods, including interviews, surveys, and system evaluation, this study examines the effectiveness and user satisfaction of the implemented system. Findings indicate significant improvements in administrative efficiency, transparency, and data accuracy. Moreover, feedback from users demonstrates a high level of satisfaction with the system's usability and functionality. The study contributes to the body of knowledge on the application of web-based systems in academic institutions and provides insights for similar implementations in other contexts.
Risk Security Cyber in System AI -Based : Study Evaluative on Indonesian Government Digital Infrastructure Fauziyyah, Ghina; maulana, Indra; Komarudin, Komarudin; Selamet, Rachmat
Journal of Artificial Intelligence Research Vol. 1 No. 2 (2025): Journal of Artificial Intelligence Research
Publisher : Asosiasi Persatuan Pengusaha Muda Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64910/jouair.v1i2.15

Abstract

Digital transformation in sector the Indonesian government has push adoption technology intelligence artificial intelligence ( AI) wide , starting from service public until taking decision data- based . However , the development This accompanied with increasing complexity threat security cyber which is special target system AI -based research This aim For evaluate readiness government digital infrastructure in face risk security emerging cyber​ from use AI technology . The methods used is approach mixed - methods , with technique survey , interview in-depth , and study documentation to eight agency government centers and regions that have implement AI system . Research results show existence inequality between readiness adoption AI technology and protection security cyber . The most frequent threats found includes adversarial input, script injection, and social engineering against system administrators . Most of agency Not yet own policy or procedure technical specifically regulating​ mitigation risk AI security research This confirm importance compilation standard national security AI systems , HR training related to AI security, and implementation of algorithmic audits periodically in system government . With thus , the article This give contribution important in governance development​ security adaptive and responsive cyber​ to AI risks in the sector public .