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Privacy-Preserving Machine Learning: Technological, Social, and Policy Perspectives Ramadhani, Indri Anugrah; Gunawan, Budi
Digitus : Journal of Computer Science Applications Vol. 3 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v3i3.882

Abstract

As machine learning and data mining applications increasingly permeate sensitive domains, concerns over data privacy have intensified. This narrative review aims to synthesize current knowledge on privacy-preserving techniques in artificial intelligence, exploring the technological, socio-cultural, and economic-policy dimensions that shape their implementation. The review employed literature from databases including Scopus, IEEE Xplore, and PubMed, using keywords such as "privacy-preserving," "machine learning," and "differential privacy" to select peer-reviewed articles based on defined inclusion and exclusion criteria. The results reveal that differential privacy and federated learning are leading frameworks offering robust solutions for secure computation without compromising analytical performance. Deep learning models demonstrated strong accuracy, particularly when applied to complex datasets such as healthcare records. However, effectiveness is often impeded by systemic issues, including fragmented regulations and uneven infrastructural capacity. Moreover, socio-cultural factors like digital mistrust and limited awareness among users—especially older populations—pose additional barriers. Economic constraints and inconsistent international policy enforcement further complicate adoption across sectors. This review concludes that successful implementation of privacy-preserving technologies depends not only on algorithmic innovation but also on supportive regulatory, cultural, and financial ecosystems. It calls for integrated policy frameworks, targeted public education, and international cooperation to address existing barriers and advance the responsible use of AI in privacy-sensitive applications.
Perancangan Sistem Informasi Pembayaran SPP Berbasis Website dengan Integrasi Fitur Analitik di MI Roudlotul Khuffadz Rifai, Muhamat Irfan; Matahari, Matahari; Ramadhani, Indri Anugrah; Dzulfikar, Muhammad Luthfi
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 10 (2025): JPTI - Oktober 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.1352

Abstract

Perkembangan teknologi informasi di era digital telah mendorong transformasi berbagai proses administrasi, termasuk dalam pengelolaan pembayaran Sumbangan Pembinaan Pendidikan (SPP) di lingkungan sekolah. MI Roudlotul Khuffadz, yang sebelumnya menerapkan sistem pembayaran manual, menhadapi permasalahan seperti keterlambatan pencatatan, kurangnya transparansi, dan kesulitan pemantauan transaksi. Penelitian ini bertujuan mengembangkan Sistem Informasi Pembayaran SPP Berbasis Website dengan Integrasi Fitur Analitik guna meningkatkan efisiensi, akurasi, dan transparansi administrasi keuangan sekolah. Metode penelitian yang digunakan adalah Research and Development (R&D) dengan model pengembangan prototype dan black-box testing. Hasil pengembangan menunjukan bahwa sistem mampu mencatat transaksi secara cepat, menyediakan laporan keuangan real-time, dan menampilkan analitik pembayaran dalam bentuk visual seperti diagram batang dan lingkaran untuk memudahkan pengambilan keputusan. implementasi fitur analitik membantu bendahara memantau pembayaran, mengindentifikasi keterlambatan, serta mengevaluasi pola pembayaran secara efektif. Pengujian menunjukan seluruh fungsi benjalan sesuai spesifikasi tanpa kendala berarti. Dengan demikian, sistem ini terbukti efektif dalam mendukung digitalisasi proses pembayaran SPP dan dapat diadaptasi pada lembaga pendidikan sejenis untuk meningkatkan manajemen keuangan secara terintegrasi.
Web-based athlete data processing information system at Indonesian National Sports Committee (INSC) Southwest Papua Setyawan, Ahmad Syafei Anggun; Ramadhani, Indri Anugrah; Firman, Firman; Sahidi, Sahidi
Jurnal Ilmu Keolahragaan Vol 8, No 2 (2025): JURNAL ILMU KEOLAHRAGAAN
Publisher : Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jilo.v8i2.100185

Abstract

Background. The current development of information technology requires organizations in various fields, including sports, to have an information system capable of presenting data accurately, quickly, and relevantly. At the Indonesian National Sports Committee (INSC) of Southwest Papua, the process of processing athlete data is still done manually using printed documents and Microsoft Word and Excel files. This method causes various obstacles, including slow input processes, high risk of recording errors, and delays in report generation. These problems have an impact on the effectiveness of the organization in managing and monitoring athlete data. Objectives. This study aims to design and develop a web-based athlete data processing information system that can improve efficiency, accuracy, and speed of data access. Methods. The research method uses the Waterfall software development model, with system design using Unified Modeling Language (UML), PHP programming language, and MySQL database. The subjects of this study were athlete data registered with the Indonesian National Sports Committee (INSC) Southwest Papua. The data includes athletes' personal identities, sports disciplines , achievement histories, and other administrative information used in the coaching and evaluation processes. System testing was conducted to ensure functionality suitability with organizational needs. Results. The results of the study show that the web-based information system that was built can automate the process of inputting, storing, and reporting athlete data in a more structured manner. This system has been proven to speed up the data processing process, minimize potential errors, and support information transparency. Conclusion. Thus, this research contributes to the development of information technology in the field of sports, particularly in the management of athlete data at the regional level. The implementation of this system is expected to improve the administrative performance of INSC Southwest Papua and serve as a model for the implementation of similar systems for other sports organizations in Indonesia.