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Evaluasi Kinerja dan Skalabilitas Platform Blynk untuk Aplikasi Internet of Things Rahman Maulana; Wahyu Setianto Dwi Aji; Indra Dwi Laksana; Stanisslaus Giovanka Vega Saputra Kristiawan; Ronald David Marcus
ELANG: Journal of Interdisciplinary Research Vol. 3 No. 1 (2025): ELANG: Journal of Interdisciplinary Research
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/elang.v3i1

Abstract

Kehadiran Internet of Things (IoT) beberapa tahun terakhir mulai terasa dan nyata dalam keseharian. Namun, membangun sistem IoT bukanlah hal yang sepele, aplikasi Blynk hadir menawarkan solusi yang lebih praktis untuk menyatukan antara perangkat keras seperti sensor dan aktuator dengan platform digital yang mampu mengelola data dan perintah secara efisien. Penelitian ini bertujuan melihat bagaimana sistem dapat bekerja secara otomatis dalam merespons suhu lingkungan, sekaligus tetap memberikan ruang bagi kontrol manual melalui aplikasi. Metode yang digunakan adalah pendekatan eksperimen terapan melalui kegiatan praktikum berbasis proyek. Data dikumpulkan melalui observasi dan dokumentasi. Hasil penelitian menunjukkan bahwa Blynk menunjukan kinerja yang sangat memuaskan dalam pengukuran suhu dan kelembapan. Sistem ini mampu menampilkan nilai suhu secara real time baik melalui serial monitor maupun aplikasi Blynk mobile, sehingga memudahkan pengguna untuk memantau kondisi lingkungan secara langsung.
Otomatisasi Monitoring Stok Logistik Terdistribusi Berbasis Rapid Application Development, GAS, dan Telegram Bot Wahyu Setianto Dwi Aji; Asri Samsiar Ilmananda
Riau Jurnal Teknik Informatika Vol. 5 No. 2 (2026): Juli 2026
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v5i2.4741

Abstract

Daily logistics reporting latency on an H+1 scale across 24 active warehouses at PT Telkom Akses Area Malang triggers the risk of delayed Network Terminal Equipment (NTE) device installations at customers' homes due to stock shortage (understock) constraints, as well as storage space inefficiency caused by asset accumulation (overstock). This condition stems from conventional workflows where warehouse admins must manually recapitulate data using passive spreadsheets. This study aims to transform this manual mechanism into a real-time automated monitoring system using the Rapid Application Development (RAD) method. The developed system integrates Google Apps Script (GAS) technology as a cloud-based computational logic hub and the Telegram Bot API as an automated notification gateway to the managerial coordination group. Inventory control is autonomously managed by a two-way control logic based on Safety Stock (SS) and Maximum Stock (Smax) parameters to monitor 8,256 units of active ONT devices. Implementation results demonstrate that this automation successfully reduces the latency of sending critical stock reports from a daily scale to under 5 seconds with a 0% error rate (zero-error rate). The main contribution of this research is providing proactive stock visibility for warehouse admins, eliminating the risk of human error due to manual input processes, and accelerating strategic decision-making in the Supply Chain division of PT Telkom Akses Area Malang to maintain service sustainability for customers.