Kornelius Lie, Alvin (2026) SISTEM SELEKSI KUALITAS BUAH JERUK BERBASIS IOT MENGGUNAKAN SENSOR WARNA & BERAT DENGAN MONITORING DAN KLASIFIKASI REALTIME PADA WEB. S1 Teknik Informatika thesis, STMIK Widya Cipta Dharma.
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Abstract
Proses seleksi kualitas buah jeruk umumnya masih dilakukan secara manual berdasarkan warna dan berat buah sehingga memerlukan waktu yang relatif lama serta bergantung pada ketelitian operator. Penelitian ini bertujuan untuk merancang dan membangun sistem seleksi kualitas buah jeruk berbasis Internet of Things (IoT) menggunakan sensor warna dan sensor berat yang mampu melakukan klasifikasi secara otomatis serta menampilkan hasil monitoring secara realtime melalui platform Blynk. Metode yang digunakan dalam penelitian ini adalah Prototyping, yang meliputi tahapan Communication, Quick Plan, Modeling Quick Design, Construction of Prototype, serta Deployment, Delivery, and Feedback. Sistem dibangun menggunakan mikrokontroler ESP32-WROOM, sensor warna TCS34725, sensor Load Cell yang dipadukan dengan modul HX711, serta dua motor servo sebagai aktuator pemilah buah. Hasil penelitian menunjukkan bahwa sistem mampu membaca data warna dan berat buah, mengklasifikasikan buah ke dalam kategori jeruk matang, jeruk mengkal, dan jeruk busuk, menggerakkan motor servo sesuai hasil klasifikasi, serta menampilkan hasil monitoring pada platform Blynk secara realtime. Hasil pengujian Black Box dan White Box menunjukkan bahwa seluruh fungsi sistem berjalan sesuai dengan rancangan. Dengan demikian, sistem yang dikembangkan mampu membantu proses seleksi kualitas buah jeruk menjadi lebih cepat, konsisten, dan efisien. ============================================================ The quality selection of oranges is generally performed manually based on fruit color and weight, making the process time-consuming and highly dependent on the operator's accuracy. This study aims to design and develop an Internet of Things (IoT)-based orange quality selection system using color and weight sensors that can automatically classify oranges and provide real-time monitoring through the Blynk platform. This study employed the Prototyping development method, which consists of the Communication, Quick Plan, Modeling Quick Design, Construction of Prototype, and Deployment, Delivery, and Feedback stages. The system was developed using an ESP32-WROOM microcontroller, a TCS34725 color sensor, a Load Cell integrated with an HX711 module, and two servo motors as fruit sorting actuators. The results show that the system is capable of reading fruit color and weight, classifying oranges into ripe, unripe, and rotten categories, controlling the servo motors according to the classification results, and displaying monitoring data on the Blynk platform in real time. Black Box and White Box testing results indicate that all system functions operate according to the designed specifications. Therefore, the proposed system can support the orange quality selection process more quickly, consistently, and efficiently.
| Item Type: | Thesis (S1 Teknik Informatika) |
|---|---|
| Additional Information: | Pembimbing 1 : Wahyuni, S.Kom., M.Kom Pembimbing 2 : Presa Taruna Oliver, S.Kom., M.T |
| Uncontrolled Keywords: | Internet of Things, ESP32-WROOM, TCS34725, Load Cell HX711, Seleksi Kualitas Buah Jeruk, Blynk. |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Teknik Informatika |
| Depositing User: | Mr Alvin Kornelius Lie |
| Date Deposited: | 06 Aug 2026 03:23 |
| Last Modified: | 06 Aug 2026 03:23 |
| URI: | http://repository.wicida.ac.id/id/eprint/6367 |
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