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Implementation of an IoT-Based Automatic Fish Seed Counting System Using NodeMCU ESP8266 with Telegram Notifications at Srikandi Fresh Fish MSME

  • Putri Cahyani Sinaga1*
  • Rasiban Rasiban2
1,2 Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika image/svg+xml
* Corresponding Author: Putri Cahyani Sinaga

Abstract

The counting of fish seeds at Srikandi Fresh Fish MSME is currently conducted through visual manual calculation, which is prone to human error, requires considerable operational time, and hinders accurate real-time inventory recording. To address these operational constraints, this research implemented an automated, Internet of Things (IoT)-based fish seed counting system using the NodeMCU ESP8266 microcontroller integrated with Google Sheets and a Telegram Bot service. The study utilized the Design Science Research (DSR) methodology, encompassing problem identification, objective definition, architectural design and development, artifact demonstration, functional evaluation, and communication. The developed hardware prototype incorporates an infrared sensor placed along a single-lane counting mechanism to detect individual passing fish seeds, an I2C-interfaced 16×2 liquid crystal display for local output, and NodeMCU ESP8266 as the core processing and communication unit. Telemetry data are logged automatically into Google Sheets via Google Apps Script and subsequently relayed to business operators as instant mobile notifications through a dedicated Telegram Bot after an inactivity period of 30 seconds. Functional validation using black-box testing confirmed that all hardware interfaces and software automated procedures operated as intended. Across 30 experimental trials involving varying seed densities, the counting mechanism achieved an average accuracy rate of 87.01% with an overall error margin of 12.99%, primarily attributed to occasional overlapping during high-density passages. The integrated cloud system also proved reliable during continuous operation, successfully reducing manual recording delays and providing an efficient, automated inventory monitoring solution for aquaculture small businesses.

Keywords

Aquaculture Technology Automatic Fish Counter Google Sheets Internet of Things (IoT) NodeMCU ESP8266 Telegram Bot

How to Cite

Citation Format
Sinaga, P. C., & Rasiban, R. (2026). Implementation of an IoT-Based Automatic Fish Seed Counting System Using NodeMCU ESP8266 with Telegram Notifications at Srikandi Fresh Fish MSME. International Journal Software Engineering and Computer Science (IJSECS), 6(3), 987-997. https://doi.org/10.35870/ijsecs.v6i3.8206

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Author Biographies

Putri Cahyani Sinaga, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika

Department of Informatics Engineering, Faculty of Computer Technology, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika, East Jakarta City, Special Capital Region of Jakarta, Indonesia.

Rasiban Rasiban, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika

Department of Informatics Engineering, Faculty of Computer Technology, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika, East Jakarta City, Special Capital Region of Jakarta, Indonesia.

License

Copyright (c) 2026 Putri Cahyani Sinaga, Rasiban Rasiban

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

This is an open-access journal distributed under the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, reproduction, and adaptation in any medium (even commercially), provided appropriate credit is given to the original author(s), a link to the license is provided, and any changes made are indicated. Authors retain copyright without restrictions and grant the journal the right of first publication as well as non-exclusive publishing rights for archiving, indexing, and scholarly dissemination.

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