PEMBUATAN SENSOR PROXIMITY BERBASIS SENSOR INDUKTIF METODE DIFFRENSIAL BERBENTUK KOIL DATAR
DOI:
https://doi.org/10.31958/js.v4i2.66Abstract
The physical principle of flat coil sensor was based on the changing inductivity of a flat coil due to disturbance of conductive material in its electromagnetic fields, so that eddy current on the conductive material was┬á occurred. The displacement between flat coil and conductive material was a function of the total inductance L of the sensor system, which will be measured as resonance frequency by using an inductive┬á capacitive oscillator. The measurement system consists of a flat coil, oscillator circuit LC, multimeter and micrometer. In measuring, as independent variables were distance of object and time, while dependent variable was output voltage of flat coil sensor by using differential technique. Data was collected through two ways i.e. direct and indirect measurement. Then data was analyzed by using graph methods and error analysis. Data analysis shown that: 1).┬á The output sensor without differential technique isnÔÇÖt linear with distance of conductive material; 2). The output sensor with differential technique is inversely proportional with distance of conductive material┬á with negative sensitivity 1,2783 Volt/mm ; 3). The precision of sensor was high with average of precision is 0,999, and 4). The stability of sensor was also high with small output voltage variation.
 
Key words: sensor, flat coil, characteristics, sensitivity, precision, stabilityReferences
Harijono, Sri Woro B. 2008. Analisis dinamika atmosfer di bagian utara ekuator su-matera pada saat peristiwa elnino dan dipole mode positif terjadi bersamaan. Jurnal Sains Dirgantara Vol.5 No.2: 130-148.
Hermawan, Eddy., Djamaluddin, Thomas., Wahyu, Tri Hadi., Tatang, Hariadi Endi., Nurhayati, Nunun., Harjupa, Wendi., Siwi, Puji Semedi., dan Fasah, Syamsul. 2009. Karakteristik dan Mekanisme MJO di atas Indonesia, (In published at JSD Lapan).
Madden, Roland A., dan Paul R. Julian. 1994. Observations of the 40-50 day tropical oscillation-review. Monthly wheater review. AMS. Volume 122:814-837.
Pai, D.S., Bhate, Jyoti., Sreejith, O.P., Hatwar, H.R., 2011. Impact of mjo on the intra-seasonal variation of summer monsoon rainfall over india. Springer. Journal of Climate Dynamics. Volume 36: 41-55.
Tjasyono, Bayong HK. 2008. Sains Atmosfer. Jakarta: Pusat Penelitian dan Pengem-bangan BMKG.
Wheeler dan Hendon. 2004. An all-season real time multivariate mjo index: deve-lopment of an index for monitoring and prediction. Bureau of Meteorology Research Centre Melbourne Australia. Volume 132:1917-1932.
Zang, Lina., Wang B and Zeng Q. 2009. Impact of the madden–julian oscillation on summer rainfall in southeast china: Journal of Climate Volume 22, 201-216
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