Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal TIN: TERAPAN INFORMATIKA NUSANTARA
Pamungkas, Rully Panji Mustiko
Unknown Affiliation
Aerospace Engineering Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Veterinary Other

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Prototype Sistem Otomasi Jemuran Cerdas (Smart Clothesline) Berbasis NodeMCU ESP8266 dan Aplikasi Blynk Pamungkas, Rully Panji Mustiko; Pristi, Anisa Nur; Hellyana, Corie Mei
TIN: Terapan Informatika Nusantara Vol 6 No 7 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i7.8700

Abstract

Indonesia experiences two seasons, the rainy season and the dry season, which often result in unpredictable weather and hinder household activities such as drying clothes. This study aims to design and construct an Internet of Things (IoT)-based automatic clothesline system capable of detecting weather conditions using an LDR (Light Dependent Resistor) sensor and a rain sensor, controlled via NodeMCU ESP8266. The system enables the clothesline to close automatically during rain or when sunlight intensity is insufficient. The research employs the prototype method, which involves the stages of design, development, testing, and evaluation. This study contributes to the development of logic that integrates rapid rain protection and light-based drying efficiency into a single system monitorable in real-time. Data were collected through observation, interviews, and literature review. Test results indicate that the device operates automatically based on weather conditions and can be remotely controlled using the Blynk application. Although the device has limitations, such as not closing at night in the absence of rain and limited manual control within the application, the system has proven effective in reducing user reliance on manual monitoring and offers a practical solution for modern IoT-based households.
Co-Authors Corie Mei Hellyana Pristi, Anisa Nur