Alsa, Sadewa (2026) RANCANG BANGUN ALAT PENJEMUR PAKAIAN OTOMATIS BERBASIS INTERNET of THINGS (IoT). S1 thesis, Fakultas Teknik Universitas Sultan Ageng Tirtayasa.
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Abstract
Perubahan cuaca yang tidak menentu, khususnya hujan, sering menjadi kendala dalam proses penjemuran pakaian karena dapat menyebabkan pakaian yang hampir kering menjadi basah kembali. Penelitian ini telah berhasil merancang dan mengimplementasikan sistem jemuran otomatis berbasis Internet of Things (IoT) dengan integrasi sensor Light Dependent Resistor (LDR) dan sensor hujan. Sistem ini beroperasi secara otomatis berdasarkan kondisi lingkungan serta menyediakan fitur kontrol manual melalui aplikasi Blynk pada perangkat mobile. Hasil pengujian menunjukkan bahwa penerapan metode Look-Up Table (LUT) Interpolasi pada sensor LDR berhasil meningkatkan akurasi pembacaan intensitas cahaya, dengan tegangan keluaran yang berbanding terbalik terhadap tingkat pencahayaan. Sensor hujan mampu mendeteksi keberadaan air dan secara otomatis mengaktifkan mekanisme penarikan jemuran ke area terlindung saat nilai pembacaan sensor berada di bawah ambang batas (threshold) 2500 ADC. Motor DC menunjukkan respons cepat dalam pengoperasian sistem, didukung indikator LCD untuk pemantauan real-time. Dampak signifikan dari penelitian ini adalah peningkatan efisiensi aktivitas rumah tangga, salah satunya pengguna tidak perlu memantau cuaca secara terus-menerus. Selain itu, sistem ini meminimalisir risiko kerugian materiil seperti kerusakan kualitas pakaian akibat basah kembali atau bau apek, serta menawarkan solusi modernisasi manajemen pekerjaan rumah tangga yang responsif dan fleksibel.
| Item Type: | Thesis (S1) | |||||||||
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| Additional Information: | Unpredictable weather changes, especially rain, frequently hinder the clothes drying process, often causing nearly dry laundry to become wet again. This research has successfully designed and implemented an Internet of Things (IoT)-based automatic clothes drying system integrating Light Dependent Resistor (LDR) and rain sensors. This system operates automatically based on environmental conditions and provides manual control features via the Blynk application on mobile devices. Test results indicate that the implementation of the Look-Up Table (LUT) Interpolation method on the LDR sensor successfully improves light intensity reading accuracy, with its output voltage inversely proportional to the light level. The rain sensor is capable of detecting the presence of water and automatically activating the retraction mechanism to move the drying rack to a sheltered area when the sensor reading falls below the threshold of 2500 ADC. The DC motor demonstrates a quick response during system operation, supported by an LCD indicator for real-time monitoring. The significant impact of this research is the increased efficiency of household activities, eliminating the need for users to continuously monitor the weather. Furthermore, this system minimizes the risk of material losses, such as damage to clothing quality due to re-wetting or musty odors, and offers a responsive and flexible solution for modernizing household management. Internet of Things (IoT), LDR Sensor, LUT Interpolation, Rain Sensor, Blyn | |||||||||
| Uncontrolled Keywords: | Internet of Things (IoT), Sensor LDR, LUT Interpolasi, Sensor Hujan, nternet of Things (IoT), LDR Sensor, LUT Interpolation, Rain Sensor, Blyn | |||||||||
| Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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| Divisions: | 03-Fakultas Teknik > 20201-Jurusan Teknik Elektro | |||||||||
| Depositing User: | Mr Alsa Sadewa | |||||||||
| Date Deposited: | 23 Jan 2026 07:20 | |||||||||
| Last Modified: | 19 Apr 2026 04:12 | |||||||||
| URI: | http://eprints.untirta.ac.id/id/eprint/57471 |
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