Wijayanti, Monica Intan (2026) Rancang Bangun Sistem Pengukuran Temperature dan Densitas BBM Terintegrasi GPS untuk Penentuan Densitas Standar 15°C Berdasarkan Tabel ASTM 53B. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Pengukuran densitas dan temperature BBM merupakan parameter penting untuk memastikan mutu BBM sesuai spesifikasi. Namun, pengukuran di lapangan masih sering dilakukan secara manual menggunakan hidrometer dan termometer ASTM. Data yang diperoleh kemudian dikonversi menjadi densitas standar 15°C menggunakan tabel ASTM 53B. Proses ini memerlukan waktu lebih lama dan berisiko menimbulkan kesalahan pembacaan. Untuk mengatasi hal tersebut, proyek akhir ini merancang sistem digital yang dapat mengukur temperature dan densitas BBM secara otomatis. Sistem juga mampu mengonversi densitas aktual menjadi densitas standar 15°C berdasarkan tabel ASTM 53B. Selain itu, sistem dilengkapi modul GPS untuk mendokumentasikan lokasi pengukuran. Sensor RTD PT-100 digunakan untuk membaca temperature, sedangkan load cell 3 kg dengan modul HX711 digunakan untuk mengukur massa sebagai dasar perhitungan densitas. Seluruh data diproses menggunakan Arduino Mega 2560. Hasil pengujian menunjukkan load cell memiliki rata-rata eror 0,03% dengan akurasi 99,97%. Sensor RTD PT-100 memiliki rata-rata eror 0,49% dengan akurasi 99,51%. Pengujian sistem dilakukan pada sampel Pertalite, Pertamax, dan Pertamax Turbo dalam kondisi indoor dan outdoor. Hasil densitas standar 15°C berada dalam rentang spesifikasi bensin PT Pertamina yaitu 715–770 kg/m³. Selain itu, hasil olah data akhir menunjukkan selisih rata-rata koreksi densitas sistem terhadap tabel ASTM 53B sebesar ±0,967 kg/m³. Rata-rata persentase akurasi koreksi mencapai 99,87%. Dengan demikian, sistem ini dapat menjadi alternatif pengukuran densitas dan Temperature BBM yang lebih cepat serta dilengkapi dokumentasi lokasi.
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Fuel density and temperature measurement are important parameters to ensure that fuel quality meets the required specifications. However, field measurements are still commonly carried out manually using a hydrometer and an ASTM thermometer. The obtained data are then converted into standard density at 15°C using the ASTM 53B table. This process takes more time and may lead to reading errors. To address this issue, this final project develops a digital system that can automatically measure fuel temperature and density. The system is also able to convert actual density into standard density at 15°C based on the ASTM 53B table. In addition, a GPS module is integrated to record the measurement location. An RTD PT-100 sensor is used to measure temperature, while a 3 kg load cell with an HX711 module is used to measure mass as the basis for density calculation. All data are processed using an Arduino Mega 2560. The test results show that the load cell has an average error of 0.03% with an accuracy of 99.97%. The RTD PT-100 sensor has an average error of 0.49% with an accuracy of 99.51%. System testing was conducted on Pertalite, Pertamax, and Pertamax Turbo samples under indoor and outdoor conditions. The standard density at 15°C falls within PT Pertamina gasoline specification, which ranges from 715 to 770 kg/m³. Furthermore, the final data analysis indicates an average difference in density correction between the system and the ASTM 53B table of ±0.967 kg/m³. The average correction accuracy reaches 99.87%. Therefore, this system can serve as a faster digital alternative for fuel density and Temperature measurement, while also providing location documentation.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Densitas BBM, Temperature BBM, ASTM 53B, RTD PT-100, Load Cell, Fuel Density, Fuel Temperature, ASTM 53B, RTD PT-100, Load Cell |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) > TA1573 Detectors. Sensors T Technology > TP Chemical technology > TP315 Fuel |
| Divisions: | Faculty of Vocational > Instrumentation Engineering |
| Depositing User: | Monica Intan Wijayanti |
| Date Deposited: | 04 Aug 2026 01:38 |
| Last Modified: | 04 Aug 2026 01:38 |
| URI: | http://repository.its.ac.id/id/eprint/142740 |
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