Study of Wind Rate Measurement in a Venturi Tube System Equipped with two Water Filled Open Manometers
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Various types of physical phenomena are experienced by the wind when it passes through a venturi tube system equipped with two open manometers filled with water. Its theoretical studies lead to 3 equation types of theoretical wind speeds that are unique. Experimental testing of each type of equation as a measurement method is significant to see the suitability level with the concept of fluid dynamics, the precision level, and the accuracy level. The research aims to determine the level of suitability with the fluid dynamics concept, the precision level, and the accuracy level. The research method is an experiment using equipment at the Bandung State Polytechnic Physics Laboratory. The research shows that: The suitability level of the three method measurement results is consistent with the concept of fluid dynamics; The highest level of precision and accuracy is produced by measurement method A, followed by method B, and the lowest by method C; All slopes of the linear curve mean wind speed ( ) is negative, 83.3 % of absolute uncertainty (AU) < 0 (negative), and 83.3 % of relative uncertainty (RU) > 0 (positive); The determination level of va by the diameter variable (d) and the electrical resistance (R) is in a strong category, the determination level of AU by the variable d is in the moderate category but with the variable R is in the weak category and then the weak category for the determination level of RU by the variable d and with the variable R.
Dwiyati, S. T., Susetyo, F. B., & Yudhantono, A. D. P. (2018). Pengaruh Laju Aliran Gas Terhadap Nilai Kekerasan Baja Karbon Rendah Hasil Hardfacing Dengan Proses GTAW. Jurnal Konversi Energi dan Manufaktur UNJ, 5(1), 1-6.
Taufik, M. (2009). Pemodelan Matematis Untuk Menghitung Kemampuan Produksi Sumur Gas. Bandung: Universitas Padjajaran–Fisika FMIPA.
Wibowo, W. A., & Afriyadi, H. M. (2014). Pengaruh laju alir udara dan tipe aliran udara terhadap kinerja kompor gasifikasi tongkol jagung. Ekuilibrium, 13(1), 7-10.
Swartz, C. E. (1981). Phenomenal physics. John Wiley & Sons.
Lilia, L., & Widodo, A. T. (2014). Implementasi pembelajaraan kontekstual dengan strategi percobaan sederhana berbasis alam lingkungan siswa kelas X. Jurnal Inovasi Pendidikan Kimia, 8(2).
Deen, W. M. (2016). Introduction to Chemical Engineering Fluid Mechanics. Cambridge University Press.
Escudier, M. (2017). Introduction to engineering fluid mechanics. Oxford University Press.
Rofik, D. A. (2020). PERANCANGAN DAN ANALISIS ALAT MICROBUBBLE GENERATOR (MBG) UNTUK AERASI KOLAM IKAN TIPE NOZZEL VENTURI. Gorontalo Journal of Infrastructure and Science Engineering, 3(2), 24-30.
Hakim, L. (2004). Perancangan dan Pembuatan Alat Uji Karakteristik Pompa Sentrifugal Susunan Seri dan Paralel.
Tentua, B. G. (2015). Penerapan Helmholtz Resonator dan Air Blower Pada Karburator Skep Venturi Untuk Mengurangi Emisi Gas Buang Motor Honda. Arika, 9(2), 135-142.
Ismail, N. R. (2010). Optimalisasi Waktu Pada Saat Akselerasi Mesin Toyota 4 AFE dengan Memanipulasi Manifold Absolute Pressure (MAP). Agritek, 11(1), 1-8.
Solihat, I. (2019). SIMULASI PEGUKURAN TEKANAN UDARA MENGUNAKAN MANOMETER SEDERHANA. Jurnal Inovasi Ilmu Pengetahuan dan teknologi, 1(1), 16-20.
Siregar, J. F., & Sinaga, J. B. (2013). Perancangan alat uji gesekan aliran di dalam saluran. Jurnal Ilmiah Teknik Mesin, 1(1).
Siregar, J. F., & Sinaga, J. B. (2013). Perancangan alat uji gesekan aliran di dalam saluran. Jurnal Ilmiah Teknik Mesin, 1(1).
Siregar, L., & Sibarani, A. N. (2020). Studi Analisis Perubahan Putaran Motor Induksi 1 Fasa Akibat Output PLTS Aplikasi Kipas Angin. Jurnal ELPOTECS, 3(2), 7-14.
Yulizar, A., Zondra, E., & Monice, M. (2021). Studi Konsumsi Energi Terhadap Perubahan Kecepatan dan Beban Pada Motor Induksi Tiga Phasa. SainETIn: Jurnal Sains, Energi, Teknologi, dan Industri, 6(1), 23-31.
Issetyorini, A., & Antono, D. (2012). Gaya Gerak Listrik Pada Motor AC. Jurusan Teknik Elektro. Politeknik Negeri Semarang.
Ulum¹, M., Anshory, I., Saputra, D. H. R., & Ayuni, S. D. (2021). Arduino Based Multifunction Fan Kipas Angin Multifungsi Berbasis Arduino. Procedia of Engineering and Life Science Vol, 1(2).
Yolnasdi, Y., Ermawati, E., & Halim, A. (2022). ANALISA EFISIENSI MOTOR KAPASITOR SEBAGAI PENGGERAK ALAT UJI RUGI-RUGI ALIRAN FLUIDA. JURNAL SAINSTEK, 5(1).
Maulana, Y., & Astuti, K. Y. (2019). STUDI EKSPERIMEN TURBIN ANGIN BERSUMBU VERTIKAL UNTUK PJU (PENERANGAN JALAN UMUM). Prosiding Hasil-Hasil Penelitian Tahun 2019 Dosen-Dosen Universitas Islam Kalimantan.
Gideon, S., & Tarigan, E. (2020). Penentuan Massa Jenis Oli secara Sederhana dengan Hukum Archimedes. Physics Education Research Journal, 2(1), 43-50. doi:https://doi.org/10.21580/perj.2020.2.1.5058
Suratmi, S., & Zakiya, H. (2017). Perbandingan Ketelitian Nilai Percepatan Gravitasi Bumi Dengan Eksperimen Gerak Jatuh Bebas Dan Getaran Zat Cair di Politeknik Negeri Bandung.
Ahmad, A., Zondra, E., & Yuvendius, H. (2020). Analisis Efisiensi Motor Induksi Tiga Phasa Akibat Perubahan Tegangan. SainETIn: Jurnal Sains, Energi, Teknologi, dan Industri, 5(1), 35-43.
Ghozali, I. (2016). Aplikasi Analisis multivariete dengan program IBM SPSS 23 (Edisi 8). Cetakan ke VIII. Semarang: Badan Penerbit Universitas Diponegoro, 96.
W. W. Chin, (1998). “The partial least squares approach to structural equation modeling. Modern methods for business research”, Volume 295 Nomor 2, pp 295-336, Tahun 1998
Chan, C. C., Lam, H., Lee, Y. C., & Zhang, X. M. (Eds.). (2004). Analytical method validation and instrument performance verification (Vol. 18). ^ eNew Jersey New Jersey: John Wiley & Sons.
D. Halliday, R. Resnick, & J. Walker, Fundamentals of Physics, Extended, 11th Edition. New York: John Wiley & Sons. 2018
Giancoli, Douglas C., Physics: Principles with Applications, Seventh Edition, Boston: Pearson, 2016.
H.D. Young and R.A. Freedman. University Physics with Modern Physics. 14th Global Edition. Boston: Pearson Education Limited. 2016.
Gao, Y., Ierapetritou, M. G., & Muzzio, F. J. (2013). Determination of the confidence interval of the relative standard deviation using convolution. Journal of Pharmaceutical Innovation, 8, 72-82.
