PUDAN, NPM 2208100073 (2026) PENERAPAN SENSOR OBSTACLE BERBASIS IOT DALAM PENGHITUNGAN HASIL PANEN BUAH KELAPA SAWIT. Skripsi thesis, Universitas Labuhanbatu.
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Abstract
Perhitungan hasil panen Tandan Buah Segar (TBS) kelapa sawit secara manual berpotensi menimbulkan kesalahan dan kurang efisien. Penelitian ini bertujuan merancang sistem penghitung otomatis berbasis Internet of Things (IoT) menggunakan sensor obstacle dan NodeMCU ESP8266. Sistem dilengkapi LCD untuk tampilan real time dan terintegrasi dengan platform ThingSpeak untuk monitoring jarak jauh. Hasil pengujian menunjukkan sistem mampu menghitung objek dengan akurasi ±95–100% dan mengirim data secara real-time. Sistem ini dapat meningkatkan efisiensi dan akurasi dalam penghitungan hasil panen kelapa sawit. Kata kunci: IoT, Sensor Obstacle, NodeMCU ESP8266, Kelapa Sawit, Penghitungan Otomatis ================================================================================================= Manual counting of Fresh Fruit Bunches (FFB) in oil palm harvesting is prone to errors and inefficiency. This study aims to design an automatic counting system based on the Internet of Things (IoT) using an obstacle sensor and NodeMCU ESP8266. The system is equipped with an LCD for real-time display and integrated with the ThingSpeak platform for remote monitoring. The test results show that the system can count objects with an accuracy of approximately 95–100% and transmit data in real time. This system can improve efficiency and accuracy in counting oil palm harvest results. Keywords: IoT, Obstacle Sensor, NodeMCU ESP8266, Oil Palm, Automatic Counting
| Item Type: | Thesis (Skripsi) |
|---|---|
| Uncontrolled Keywords: | IoT, Sensor Obstacle, NodeMCU ESP8266, Kelapa Sawit, Penghitungan Otomatis==============IoT, Obstacle Sensor, NodeMCU ESP8266, Oil Palm, Automatic Counting |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software Q Science > QK Botany T Technology > T Technology (General) 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: | 04 May 2026 01:57 |
| Last Modified: | 07 May 2026 03:40 |
| URI: | http://repository.ulb.ac.id/id/eprint/2207 |
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