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Smart Farming: Optimalisasi Produksi Telur Ayam Petelur menggunakan Sistem Cerdas Monitoring Suhu dan Kelembaban Kandang Berbasis IoT Panji Pratomo; Kurniawan Saputra; Dita Novita Sari; Yoeyong Rahsel; Ricco Herdiyan Saputra; Bambang Suprapto; Henry Simanjuntak
Riau Jurnal Teknik Informatika Vol. 4 No. 1 (2025): Maret 2025
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v4i1.3264

Abstract

Egg production of laying hens is influenced by various factors, including temperature, humidity, and the quality of the cage environment. The main problem in this study is the fluctuation of production due to changes in environmental conditions that are not optimal. This study aims to develop and implement a smart farming system based on the internet of things (IoT) that is able to optimize egg production of laying hens through automatic monitoring of cage temperature and humidity. The methods used include needs analysis, design, implementation and testing. The results showed that the accuracy of the system reached 80% which could maintain the cage environmental conditions within the optimal range, so that egg production increased from an average of 383.67 eggs per month to 390.33 eggs per month.
Integrasi Pembelajaran Bahasa Inggris dengan Literasi Digital: Pelatihan Keamanan dan Etika Komunikasi Daring WINIA WAZIANA; Ricco Herdiyan Saputra; Ida Ayu Putu Anggie Sinthiya
Jurnal Dedikasi untuk Negeri Vol 4, No 2 (2025): Jurnal Dedikasi untuk Negeri (JDN)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36269/jdn.v4i2.4096

Abstract

Perkembangan teknologi digital tidak hanya menuntut penguasaan bahasa Inggris dari sisi linguistik, tetapi juga menekankan pentingnya kesadaran terhadap keamanan, etika, serta tanggung jawab dalam berkomunikasi di ruang digital. Hal ini menjadikan integrasi pembelajaran bahasa Inggris dengan literasi digital sebagai kebutuhan strategis dalam dunia pendidikan abad ke-21. Kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan untuk membekali siswa dengan keterampilan digital communication yang relevan, sekaligus meningkatkan pemahaman mereka terhadap konsep online safety, cyber ethics, dan digital footprint melalui pelatihan partisipatif dan aplikatif. Program ini dilaksanakan di SMP Negeri 2 Adiluwih dan melibatkan 31 siswa kelas VIII dengan menggunakan pendekatan action research yang mengutamakan keterlibatan aktif peserta. Kegiatan meliputi penyampaian materi interaktif, latihan penulisan email berbahasa Inggris yang sopan dan sesuai etika digital, serta praktik pembuatan poster digital bertema Internet Safety Rules. Hasil pelaksanaan program menunjukkan adanya peningkatan kemampuan siswa dalam memahami dan menggunakan kosakata Bahasa Inggris yang berkaitan dengan dunia digital, kesadaran yang lebih tinggi terhadap risiko komunikasi daring, serta perubahan perilaku positif dalam menggunakan teknologi secara aman, etis, dan bertanggung jawab. Program ini sekaligus memperkuat keterampilan berpikir kritis, kolaboratif, dan kreatif siswa sebagai bagian dari kompetensi pembelajaran masa depan. Dengan demikian, kegiatan ini tidak hanya meningkatkan kemampuan literasi bahasa Inggris, tetapi juga membentuk karakter digital yang cerdas, etis, dan berdaya saing global.
EVALUATION OF THE USABILITY AND USER EXPERIENCE (UX) OF THE EDLINK PLATFORM IN SUPPORTING DISTANCE LEARNING AT THE BAKTI NUSANTARA INSTITUTE Saputra, Ricco Herdiyan; Waziana, Winia
Asia Information System Journal Vol. 5 No. 01 (2026): Asia Information System Journal
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/6xbt9756

Abstract

This study aims to evaluate the level of usability and user experience  of the EdLink Learning Management System (LMS) platform implemented at the Bakti Nusantara Institute (IBN) in supporting distance learning. Through a descriptive quantitative approach, primary data were collected from 150 active students using the System Usability Scale (SUS) and User Experience Questionnaire (UEQ) questionnaire instruments. The results of the pragmatic evaluation with SUS obtained a final score of 68.50 (Marginal High or Grade C category), which indicates that functionally the EdLink interface is quite adequate as a basic facility, although it is not yet fully intuitive for new users. An analysis of the user experience using the UEQ instrument confirms that the platform has a satisfactory performance on pragmatic dimensions, such as clarity (+1.40) and precision (+1.30). However, the platform shows significant weaknesses in the Hedonic Quality aspect, where the stimulation dimensions (+0.65) and novelty (+0.45) only reach the neutral category or below average. In conclusion, EdLink at IBN functions very well as a stable digital administration space, but its visual design and interactivity are considered rigid and lack motivation for students' learning exploration. Therefore, it is recommended that a more modern and interactive graphical interface (UI) refresh be carried out by the system developer, accompanied by modifications to the lecturer's pedagogical strategy to be more proactive in increasing student involvement.
Application of AI Agentic Workflow Algorithms in Contemporary Business Process Automation Dita Novita Sari; Ricco Herdiyan Saputra
Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 4 No. 3 (2026): Volume 4 Number 3 September 2026
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v4i3.307

Abstract

Contemporary business process automation faces a critical anomaly: conventional Robotic Process Automation (RPA) frameworks often experience fatal runtime crashes when encountering minor structural variations in enterprise documents. This instability triggers severe operational bottlenecks and exponentially increases manual intervention costs. To resolve this fragility, this study proposes and evaluates a novel AI Agentic Workflow architecture based on Multi-Agent Reinforcement Learning. The dynamic system orchestrates specialized sub-agents, specifically Planning, Tool-Execution, and Self-Reflection agents, to enable autonomous fault tolerance and contextual reasoning without relying on rigid scripts. Experimental testing was conducted across standard, structural drift, and ambiguous input scenarios using 5,000 synthetic and real-world supply chain documents. The empirical results demonstrate that the multi-agent architecture drastically outperforms legacy RPA and single-prompt Large Language Models, achieving a 98.9% Task Success Rate under severe structural drift. Furthermore, the system recorded a 99.2% Error Self-Correction Efficiency, successfully resolving runtime faults autonomously without human triage. Although the cognitive reasoning loops introduced an increased mean latency of 19.8 seconds, the computational trade-off is justified by the elimination of technical debt. Ultimately, this framework ensures highly adaptive enterprise resource planning ecosystems, safeguarding business continuity against unpredictable data fluctuations and volatile external integrations.