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PENGENALAN LITERASI DIGITAL MELALUI PENGGUNAAN APLIKASI E-COMMERCE DI PANTI ASUHAN ‘AISYIYAH TUNAS HARAPAN PONTIANAK Arninda Arninda; Darusman Darusman; Ferdy Firmansyah
E-Amal: Jurnal Pengabdian Kepada Masyarakat Vol 4 No 1: Januari-April 2024
Publisher : LP2M STP Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47492/eamal.v4i1.3097

Abstract

Anak-anak masa kini merupakan generasi Z yang lahir dan di besarkan di era serba digital dan beragam teknologi canggih. Di era digitalisasi saat ini, perkembangan teknologi telah berdampak terhadap perkembangan anak, terutama anak usia dini. Berbagai macam gadget secara langsung maupun tidak langsung akan mempengaruhi karakteristik mereka menjadi mandiri, cerdas dan penuh imajinasi (ingenuity), serta entrepreneurialism. E-commerce merupakan bagian dari kemajuan teknologi digital yang sudah menjadi gaya hidup masa kini yang praktis dan solutif bagi masyakarat. Sehingga tidak perlu menghabiskan waktu untuk antri dan terkena macet. E-commerce juga menjadi tren industri online yang sangat popular karena menciptakan berbagai profesi baru. Pengabdian ini bertujuan untuk mengenalkan dan memberikan pengetahuan mengenai literasi digital kepada anak-anak di Panti Asuhan ‘Aisyiyah Tunas Harapan Pontianak. Selain itu, juga memberikan gambaran tentang aplikasi e-commerce, agar anak-anak dapat memanfaatkan berbagai kemudahan belanja secara online, namun tetap memperhatikan berbagai aspek keamanan yang sangat penting bagi kenyamanan bertransaksi
Analisis Pengaruh Desain Antarmuka Pengguna terhadap Adopsi Aplikasi Edukasi: Studi Kasus pada Ruangguru, Skill Academy, dan Belajar dari Rumah (Kemendikbud) di Platform Pembelajaran Daring Indonesia Ferdy Firmansyah
Design Journal Vol. 3 No. 1 (2025): January
Publisher : Yayasan Pendidikan Mitra Mandiri Aceh (YPMMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58477/dj.v3i1.197

Abstract

The study aims to draw a relationship between User Interface (UI) design and educational app adoption in Indonesia—compared to three of the most popular online learning apps, Ruangguru, Skill Academy, and Belajar dari Rumah (Kemendikbud). Despite increasing access to education through digital transformation, adoption challenges related to UI design are still prevalent. Increasing familiarity with an app prevents user abandonment and improves the overall user experience, leading to continued adoption and usage. Qualitative findings from survey data of 200 respondents isolated ease of navigation, visual aesthetics, and app responsiveness as the three most prominent determinants of anticipated user satisfaction and adoption patterns. Quantitatively, Ruangguru and Skill Academy showed a significant influence of UI size on user satisfaction (R² = 0.620), while Belajar dari Rumah needs to improve its UI, from the results it is recommended for educational app developers to improve UI design, increase adoption rates, and maximize user satisfaction
Implementation of N8N Platform for IoT Sensor Monitoring: Real-time Analysis in Smart Farming Legito Legito; Fitriyani Fitriyani; Ferdy Firmansyah
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 3 (2025): DECEMBER 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i3.5064

Abstract

Smart farming has some limitations regarding the management of streaming data from IoT sensors. This is necessary to support real-time decision-making in areas with less infrastructure. This paper discusses the practical use of the N8N platform as a low-code/no-code workflow automation tool for monitoring IoT sensors in smart farming. A mixed-method approach was used, with a prototype design based on Research and Development. The system was built using IoT-A architecture, which includes the perception layer (soil moisture, temperature, humidity, pH, NPK, and ultrasonic sensors on ESP32), network layer (MQTT and HTTP), processing layer (N8N workflow for ingestion, validation, transformation, and decision logic), and application layer (dashboard and alerts). Testing was done in a controlled environment for 72 hours with scenarios such as normal operation, high load, network disruption sensor failure, and scalability up to 20 nodes. Results showed an average response time of 150–300 ms, throughput of up to 500 data points per minute end-to-end latency below 450 ms availability greater than 99% and processing accuracy between 98.7% and 99.2%. The system detected failures accurately and restored operations within an average of 45 seconds. These results proved that N8N can improve the efficiency and reliability of real-time monitoring as an adaptive solution for tropical agriculture in Indonesia. It also suggested long-term field trials together with AI integration for predictive forecasting to enhance scalability and practical adoption.