PENERAPAN SENSOR TCS3200 DAN THINGSPEAK UNTUK MENDETEKSI KEMATANGAN BUAH KELAPA SAWIT BERBASIS IOT

ARIP BASUKI, NPM 2208100014 (2026) PENERAPAN SENSOR TCS3200 DAN THINGSPEAK UNTUK MENDETEKSI KEMATANGAN BUAH KELAPA SAWIT BERBASIS IOT. Skripsi thesis, Universitas Labuhanbatu.

	Text COVER.pdf Download (1MB)
	Text BAB I.pdf Download (236kB)
	Text BAB II.pdf Restricted to Registered users only Download (1MB)
	Text BAB III.pdf Restricted to Registered users only Download (496kB)
	Text BAB IV.pdf Restricted to Registered users only Download (661kB)
	Text BAB V.pdf Restricted to Registered users only Download (202kB)
	Text DAFTAR PUSTAKA.pdf Download (210kB)

Abstract

Penelitian ini dilatarbelakangi oleh rendahnya akurasi penentuan kematangan buah kelapa sawit yang masih dilakukan secara manual oleh petani sehingga berpotensi menimbulkan kesalahan panen dan kerugian; oleh karena itu diperlukan suatu sistem otomatis berbasis teknologi untuk meningkatkan ketepatan dan efisiensi proses identifikasi. Secara teoritis, penelitian ini didasarkan pada konsep Internet of Things (IoT) sebagai sistem yang mampu menghubungkan perangkat untuk pertukaran data secara real-time, serta pemanfaatan sensor warna TCS3200 dalam mendeteksi komposisi warna RGB sebagai indikator tingkat kematangan buah. Metode yang digunakan adalah Research and Development (R&D) dengan model ADDIE yang meliputi tahap analisis kebutuhan, perancangan sistem, pengembangan alat, implementasi, serta evaluasi untuk menguji kinerja sistem secara menyeluruh. Hasil penelitian menunjukkan bahwa sistem mampu mendeteksi kematangan buah kelapa sawit berdasarkan dominasi warna yang terbaca oleh sensor serta menampilkan hasil secara langsung melalui LCD dan platform ThingSpeak secara real-time. Dengan demikian, dapat disimpulkan bahwa sistem yang dikembangkan mampu meningkatkan akurasi dan efisiensi dalam proses penentuan kematangan buah serta menjadi solusi berbasis IoT yang efektif dan aplikatif bagi petani dalam mendukung kegiatan pertanian modern. Kata kunci: IoT, TCS3200, ESP32, Kematangan Buah, ThingSpeak ================================================================================================== This research is motivated by the low accuracy of determining the ripeness of oil palm fruit which is still done manually by farmers, thus potentially causing harvest errors and losses; therefore, a technology-based automated system is needed to improve the accuracy and efficiency of the identification process. Theoretically, this research is based on the concept of the Internet of Things (IoT) as a system capable of connecting devices for real-time data exchange, as well as the use of the TCS3200 color sensor in detecting RGB color composition as an indicator of fruit ripeness level. The method used is Research and Development (R&D) with the ADDIE model which includes the stages of needs analysis, system design, tool development, implementation, and evaluation to test the system's performance as a whole. The results of the study show that the system is able to detect the ripeness of oil palm fruit based on the color dominance read by the sensor and displays the results directly via LCD and the ThingSpeak platform in real-time. Thus, it can be concluded that the developed system is able to improve the accuracy and efficiency in the process of determining fruit ripeness and is an effective and applicable IoT-based solution for farmers in supporting modern agricultural activities. Keywords: IoT, TCS3200, ESP32, Fruit Ripening, ThingSpeak

Item Type:	Thesis (Skripsi)
Uncontrolled Keywords:	IoT, TCS3200, ESP32, Kematangan Buah, ThingSpeak===============IoT, TCS3200, ESP32, Fruit Ripening, ThingSpeak
Subjects:	Q Science > QA Mathematics > QA76 Computer software Q Science > QK Botany T Technology > T Technology (General) Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases
Divisions:	Fakultas Sains Dan Teknologi > Teknologi Informasi
Depositing User:	Unnamed user with email repository@ulb.ac.id
Date Deposited:	11 May 2026 04:23
Last Modified:	11 May 2026 04:24
URI:	http://repository.ulb.ac.id/id/eprint/2259

Actions (login required)

View Item