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All Journal JOIN (Jurnal Online Informatika) MASALIQ: Jurnal Pendidikan dan Sains Menulis: Jurnal Penelitian Nusantara
Ryan Fikri
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Religion Computer Science & IT Education Social Sciences Other

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Synergistic Disruption: Harnessing AI and Blockchain for Enhanced Privacy and Security in Federated Learning Sandi Rahmadika; Winda Agustiarmi; Ryan Fikri; Kweka, Bruno Joachim
JOIN (Jurnal Online Informatika) Vol 10 No 1 (2025)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v10i1.1392

Abstract

Combining blockchain technology with artificial intelligence (AI) offers revolutionary possibilities for developing strong solutions that capitalize on each technology's own advantages. Blockchain technology makes self-executing agreements possible by enabling smart contracts, which reduce the need for middlemen and increase efficiency by precisely encoding contractual terms in code. By using AI oracles, these contracts can communicate with outside data sources and make well-informed decisions based on actual occurrences. Additionally, there is a lot of potential for improving machine learning and data interchange in terms of privacy, security, and transparency through the integration of blockchain with federated learning. In order to provide accountability and transparency, the blockchain's immutable ledger can painstakingly record every transaction that takes place during the federated learning process, from data submissions to model modifications and remuneration. Participants in federated learning networks also develop trust because of blockchain's transparency and resistance to tampering. Strong participant verification procedures are put in place to strengthen data integrity and model updates, which raises the system's overall reliability. In the end, this chapter examines novel research avenues for combining blockchain technology with federated learning, providing practical methods and strategies to improve transaction security and privacy and opening the door to a new era of reliable and effective machine learning applications.
Rancang Bangun Alat Terapi Gerak Tangan Otomatis Untuk Pemulihan Fungsi Motorik Pasca Stroke Ardiansyah Putra Norman; Delsina Faiza; Winda Agustiarmi; Ryan Fikri
Menulis: Jurnal Penelitian Nusantara Vol. 1 No. 11 (2025): Menulis - November
Publisher : PT. Padang Tekno Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59435/menulis.v1i11.707

Abstract

Stroke merupakan kondisi medis yang disebabkan oleh gangguan aliran darah ke otak, dimana pembuluh darah ke otak terganggu yang disebabkan penyempitan pembuluh darah, tersumbatnya pembuluh darah dan ataupun pecahnya pembuluh darah.Menurut world health organization (WHO), stroke merupakan salah satu penyebab utama kecacatan dan kematian di seluruh dunia. Kalsifikasi berdasarkan hasil skor tersebut yaitu skor <5 untuk stroke ringan, 5-14 stroke sedang. 14-25 stroke berat, dan > 25 stroke sangat berat.Gangguan motorik yang tampak setelah stroke dapat diperhatikan dari kelemahan otot, kurangnya terkontrolnya gerakan, sampai dengan peningkatan tingkat kekakuan tangan ketika tidak berkontraksi maupun relaksasi. Pemulihan fungsi motorik, khususnya tangan, sangat membantu pasien stroke mendapatkan kembali kemandirian mereka.Metode terapi ROM yang umumnya dilakukan melibatkan interaksi langsung antara pasien dan terapis. namun keterbatasan terapis dan ketidakmerataan fasilitas medis untuk pasien pasca stroke serta tingginya biaya menjadi salah satu faktor yang memperlambat proses rehabilitasi. Teknologi otomatisasi dengan fokus pada pengembangan perangkat terapi yang dapat memberikan latihan gerakan secara otomatis dan berulang serta dapat dilakukan di rumah merupakan solusi dari masalah tersebut. Salah satu keuntungan utama dari alat terapi gerak tangan otomatis adalah kemampuannya untuk memberikan gerakan berulang yang presisi dan terukur. Penelitian ini bertujuan untuk merancang dan membangun alat terapi gerak tangan otomatis yang didesain dengan anggaran yang terjangkau.Alat terapi gerak tangan otomatis dirancang untuk membantu pasien melakukan gerakan sederhana, seperti menekuk dan memutar yang terpusat pada pergelangan tangan.
Rancang Bangun Prototype Sistem Monitoring Pemberian Pakan Ikan Otomatis di Keramba Jaring Apung Berbasis IoT Rahmat Eka Putra; Ryan Fikri
MASALIQ Vol 5 No 5 (2025): SEPTEMBER
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v5i5.7013

Abstract

Floating net cage (KJA) fish farming in Lake Maninjau faces several challenges, particularly the inefficiency of manual feeding—which requires significant time and labor and often results in uneven distribution—as well as water quality issues caused by pollution and upwelling (tubo) phenomena, leading to mass fish mortality. This study aims to develop an Internet of Things (IoT)-based prototype to automate feeding and monitor water quality, thereby improving farming efficiency. The prototype was built using the ESP32 microcontroller, DS18B20 temperature sensor, pH sensor, HC-SR04 ultrasonic sensor, DS3231 RTC module, servo motor, buzzer, LED, and LCD display, following the waterfall development model. Sensor validation was performed using standard instruments such as thermometers and pH meters. The Blynk platform was used for remote monitoring and control via smartphone. The system successfully monitored water temperature within the range of 27–32°C, pH between 6–8.5, and feed levels (0–100%), with a deviation of ±0.01 for pH and 0.0°C for temperature. A total of 150 grams of feed was automatically dispensed at scheduled times (09:00 and 16:00 WIB), with notifications sent via Blynk. These findings demonstrate that the developed system effectively supports more efficient, adaptive, and environmentally responsive fish farming.
Co-Authors Ardiansyah Putra Norman Delsina Faiza Kweka, Bruno Joachim Rahmat Eka Putra Sandi Rahmadika Winda Agustiarmi