Sajidah Layali Robbaniyah, - and Mahmudah Salwa Gianti, - and Muhammad Rizalul Wahid, - (2025) PENGEMBANGAN SISTEM INTERNET OF THINGS (IoT) BERBASIS RASPBERRY PI UNTUK PEMANTAUAN SUHU PADA COLDBOX DI PT DIRGANTARA INDONESIA. S1 thesis, Universitas Pendidikan Indonesia.
Abstract
Coldbox (kotak pendingin) merupakan komponen penting dalam menjaga kualitas produk yang memerlukan pengendalian suhu yang ketat, termasuk produk pada sektor industri dirgantara. Di PT Dirgantara Indonesia, proses pemantauan dan pencatatan suhu pada coldbox masih menggunakan recorder (perekam data) berbasis tinta dan kertas. Hal tersebut rentan terhadap keterlambatan analisis, risiko kesalahan pencatatan, dan ketergantungan terhadap material. Kondisi tersebut mendorong perlunya inovasi sistem pemantauan dan pencatatan yang lebih akurat, efektif, dan efisien. Penelitian ini mengembangkan sistem digitalisasi pemantauan dan pencatatan suhu berbasis Internet of Things (IoT) dengan menggunakan Raspberry Pi 3 B+ sebagai pusat kendali. Raspberry Pi dipilih karena kemampuannya dalam menjalankan sistem operasi penuh dan mengerjakan program kompleks, serta dapat terhubung ke jaringan melalui Ethernet ataupun WiFi. Tiga sensor Termokopel tipe T diletakkan pada tiga titik berbeda di coldbox untuk mengukur suhu, dengan data suhu yang dikirim melalui protokol SPI ke Raspberry Pi, kemudian disimpan di Firebase dan ditampilkan melalui antarmuka Website. Fitur utama dari sistem digitalisasi ini meliputi notifikasi otomatis dengan rule-based (berbasis aturan) ketika suhu melewati batas toleransi, dan fitur unduh data histori suhu dalam format CSV dan PDF untuk keperluan pengarsipan digital, pelaporan, dan pengambilan keputusan kedepannya. Hasil pengujian menunjukkan bahwa rata-rata selisih pembacaan sensor terhadap termometer digital sebagai alat ukur referensi berada pada ±1°C dengan simpangan baku yang rendah, hal ini menandakan akurasi dan kestabilan sistem yang cukup baik. Evaluasi pengguna dari PT Dirgantara Indonesia menilai bahwa sistem ini mudah digunakan dan relevan dengan kebutuhan operasional. Dengan demikian, sistem digitalisasi ini menjadi solusi praktis dalam mendukung pemantauan dan pencatatan suhu pada coldbox di lingkungan industri berskala besar. ----- The coldbox is a critical component in maintaining the quality of products that require strict temperature control, including products in the aerospace industry. At PT Dirgantara Indonesia, the temperature monitoring and recording process for coldboxes still relies on ink and paper recorders. This method is vulnerable to delays in analysis, potential recording errors, and dependence on physical materials. These conditions highlight the need for an innovative monitoring and recording system that is more accurate, effective, and efficient. This study develops an Internet of Things (IoT) based digital temperature monitoring and recording system using a Raspberry Pi 3 B+ as the central controller. The Raspberry Pi was chosen for its capability to run a full operating system, execute complex programs, and connect to networks via Ethernet or WiFi. Three Type T Thermocouple sensors were placed at three different points inside the coldbox to measure temperature. The temperature data were transmitted via the SPI protocol to the Raspberry Pi, stored in Firebase, and displayed through a web-based interface. Key features of this digital system include rule-based automatic notifications when the temperature exceeds the tolerance limit, as well as the ability to download historical temperature data in CSV and PDF formats for digital archiving, reporting, and decision making. Test results show that the average deviation of the sensors compared to a digital thermometer as a reference measuring device was ±1°C with a low standard deviation, indicating good accuracy and stability. User evaluations from PT Dirgantara Indonesia found the system to be user friendly and relevant to operational needs. Therefore, this digital system serves as a practical solution to support temperature monitoring and recording for coldboxes in large scale industrial environments.
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| Item Type: | Thesis (S1) |
|---|---|
| Additional Information: | https://scholar.google.com/citations?user=_vxfPwUAAAAJ&hl=en ID SINTA Dosen Pembimbing Mahmudah Salwa Gianti: 6779018 Muhammad Rizalul Wahid: 6780434 |
| Uncontrolled Keywords: | Internet of Things, Digitalisasi, Coldbox, Raspberry Pi, Termokopel tipe T. Internet of Things, Digitalization, Coldbox, Raspberry Pi, Type T Thermocouple. |
| Subjects: | T Technology > T Technology (General) T Technology > TJ Mechanical engineering and machinery T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TS Manufactures |
| Divisions: | UPI Kampus Purwakarta > S1 Mekatronika dan Kecerdasan Buatan |
| Depositing User: | Sajidah Layali Robbaniyah |
| Date Deposited: | 08 Sep 2025 09:31 |
| Last Modified: | 08 Sep 2025 09:31 |
| URI: | http://repository.upi.edu/id/eprint/137854 |
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