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The Impact of Implementing Blockchain Technology in Learning on Data Security and Integrity Adhicandra, Iwan; Kaaffah, Faiz Muqorrir; Maharaja, Chandra Halim; Sabri, Sabri
Journal of Computer Science Advancements Vol. 2 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i1.927

Abstract

The application of blockchain technology in learning has great potential to improve data security and integrity. Because blockchain is a decentralized technology that uses block chains to record and secure transactions in a transparent and permanent manner, it offers an excellent solution to address security and data integrity issues. This research was conducted with the aim of improving the security and integrity of student data. Student data can be stored in a distributed manner with blockchain. No one can change or delete it without their permission. This goal also includes increasing transparency and accountability of the learning process to ensure that the data used in the learning process is accurate data. The method used in this research is a quantitative method. This method is a way of collecting numerical data that can be tested. Data was collected through distributing questionnaires addressed to students. Furthermore, the data that has been collected from the results of distributing the questionnaire will be accessible in Excel format which can then be processed using SPSS. From this research carried out, researchers can obtain research results that blockchain technology is used to protect educational data by locking the learning history of the learning management system (LMS), so that assessments can be carried out effectively and allow all parties involved to access and verify information safely while ensuring data integrity and validity. Based on the results of this research, it can be concluded that the application of blockchain technology can help improve the security and integrity of student data, such as academic, financial and personal data, in the learning context. By using blockchain, students have complete control over their data and ensure that bad people cannot misuse or access it. Apart from that, blockchain technology can also increase transparency and accountability in the classroom.
Training on Hygiene Standards and Halal Certification to Increase The Competitiveness of MSMEs in The Processed Food Industry: Pengabdian Berhitu, Maria Renata; Harsya, Rabith Madah Khulaili; Arafah, Muhammad Nur; Irwinsyah, Fadly; Kaaffah, Faiz Muqorrir
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 4 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 4 Tahun 2026
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i4.6027

Abstract

Industri makanan olahan merupakan pilar penting ekonomi kreatif, namun Usaha Mikro, Kecil, dan Menengah (UMKM) sering menghadapi tantangan terkait standar kebersihan dan kepatuhan sertifikasi halal. Program pengabdian masyarakat ini bertujuan untuk meningkatkan daya saing UMKM makanan olahan di empat kota besar Indonesia: Jayapura, Makassar, Palembang, dan Bandung, melalui pelatihan standar kebersihan dan percepatan sertifikasi halal. Metode yang digunakan adalah Transfer Teknologi Partisipatif melalui pelatihan intensif, bantuan dalam penyusunan dokumen sistem jaminan produk halal, dan pendidikan tentang praktik sanitasi makanan. Hasil program pengabdian masyarakat menunjukkan peningkatan pemahaman peserta sebesar 85% tentang peraturan Jaminan Produk Halal (JPH) dan standar sanitasi operasional. Lebih lanjut, kegiatan ini berhasil memulai pengajuan sertifikasi halal untuk 120 UMKM di empat wilayah tersebut. Implikasi dari kegiatan ini adalah penguatan posisi pasar UMKM lokal dalam menghadapi persaingan di tingkat nasional dan global melalui keamanan produk dan jaminan halal.
loT- Based Sensor Applications for Water Quality Monitoring in Intensive Aquaculture Systems Faiz Muqorrir Kaaffah; Khaerul Manaf; Beki Subaeki
International Research of Multidisciplinary Analysis Vol. 4 No. 5 (2026): International Research of Multidisciplinary Analysis
Publisher : Nindikayla Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57254/irma.v4i5.86

Abstract

Intensive aquaculture requires strict water quality monitoring because fluctuations in parameters such as temperature, pH, dissolved oxygen, and ammonia can cause stress and even mass mortality among farmed organisms. Accurate and timely monitoring is a critical operational requirement to ensure the sustainability and profitability of intensive aquaculture operations in meeting global demand for animal protein. This study aims to design, develop, and test a comprehensive, cost-effective IoT sensor system for real-time water quality monitoring in intensive aquaculture ponds. By integrating multi-parameter sensors into a platform connected to an automated aeration system, the system sends early warnings and action recommendations to farmers via a mobile app in areas with limited connectivity. The methodology employs a Systematic Literature Review (SLR), a systematic, explicit, and reproducible approach to identify, evaluate, and synthesize relevant empirical evidence from the scientific literature. The SLR produces a comprehensive and objective synthesis of research findings, minimizes bias, and provides an evidence-based foundation for decision-making, following a structured protocol for the critical evaluation of study quality and relevance. The discussion covers four categories: the basic implementation of an IoT system monitoring key parameters provides real-time data and early warnings to boost productivity at low cost—a game-changer that minimizes risks and reliance on manual labor; connectivity innovations using LoRa technology transmit sensor data without adequate WiFi or cellular infrastructure, eliminating adoption barriers for small-to-medium-scale farmers; commodity-specific parameter expansion using TDS and turbidity sensors achieving high accuracy with an error rate <0.5% for sensitive aquaculture such as shrimp farming; system integration and automated response demonstrating the integration of sensors with automatic feed-dispensing actuators to create a responsive and autonomous closed-loop system. This study concludes that IoT systems monitoring fundamental parameters such as temperature, pH, and DO are viable and provide significant benefits in the form of increased productivity through proactive management. LoRa technology successfully overcomes connectivity challenges in remote areas, expanding the scope of IoT applications. Monitoring specific parameters with high accuracy is key to cultivating sensitive commodities. The future of precision aquaculture lies in the integration of IoT monitoring with automated control to create a responsive and autonomous cultivation environment