Komunikasi Fisika Indonesia
KFI mempublikasikan artikel hasil penelitian dan review pada bidang fisika, namun tidak terbatas, yang meliputi fisika murni, geofisika, plasma, optik dan fotonik, instrumentasi, dan elektronika, dan fisika terapan (aplikasi fisika).
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<![CDATA[APLIKASI PROGRAM MATLAB UNTUK ANALISA CITRA HYPERSPECTRAL PADA AKAR DARI TANAMAN KELAPA SAWIT YANG MENGALAMI KEKURANGAN AIR ]]>
<![CDATA[Mailestari Wina Yance]]>;
<![CDATA[Minarni Minarni]]>;
<![CDATA[Feri Candra]]>;
<![CDATA[Herman Herman]]>
<![CDATA[ Komunikasi Fisika Indonesia Vol 16, No 2 (2019) ]]>
Publisher : <![CDATA[Universitas Riau ]]>
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DOI: 10.31258/jkfi.16.2.149-154
<![CDATA[Hyperspectral images are three dimensional images which have two dimension spatial information and one dimension spectral information. Hyperspectral image processing using Matlab program is preferable because it is more adaptive for many analysis purposes. This research was aimed to construct Matlab to process and analyze the hyperspectral images of the roots of oil palm plants that have experienced water deficiency. The program was designed and constructed using a GUI . The use of a GUI aims to combine each pixel of the same line from each sample to produce a new image. The samples were roots of oil palm plants that experienced simulated water deficiency by giving different water volumes of 0 mL, 1000 mL, 2000 mL and 3000 mL (normal). The optical method used in this study is a hyperspectral imaging method which has 650 nm diode laser as the light source , spectrograph Specim Imspector V10 , and a monochrome CMOS as a detector. Reflectance intensity versus wavelength was extracted from each images and analyzed. The results showed that the Matlab GUI program that had been constructed was able to produce 1024 new images that had a pixel size of 15× 1280 from each sample. The results also show that the reflectance intensity values are higher at higher water deficiency of the oil palm roots.]]>
<![CDATA[PENENTUAN KOMPOSISI KIMIAWI ATMOSFER DAN TEMPERATUR EFEKTIF PADA BINTANG VEGA (α Lyr) DENGAN MENGGUNAKAN METODE SPEKTROSKOPI ABSORPSI ]]>
<![CDATA[Fitri Yuliana]]>;
<![CDATA[Zulkarnain Zulkarnain]]>;
<![CDATA[Hakim Luthfi Malasan]]>
<![CDATA[ Komunikasi Fisika Indonesia Vol 16, No 2 (2019) ]]>
Publisher : <![CDATA[Universitas Riau ]]>
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DOI: 10.31258/jkfi.16.2.96-102
<![CDATA[The star spectrum is an information which is though to be a map of the star. The shape of the spectral line actually shows the nature of the star atmosphere, which is the only part researcher can be reached. The intensities of spectral lines will determine the chemical composition of the stars contained in the atmospheres of the stars. The approach used to determine the chemical composition and the effective temperature of the star is spectroscopy. The spectroscopy method had been done in this study using the GAO-ITB RTS telescope system which consisting of the Celestron C11 telescope, NEO-R 1000 spectrograph and CCD SBIG ST-8 camera. The object studied is Vega (α Lyr) star which has a magnitude of 0.00 that the main sequence star of the A0 spectrum class. The image data obtained then be processed using IRAF software to obtain the final spectrum graph with the y-axis representing the flux in erg cm-2s-1 and the x-axis representing the wavelength in units of Å. Furthermore, we match the absorption wavelength on the final spectrum graph to the existing wavelength of the Atomic Spectra Database (ASD) to identify the atmospheric chemical composition of the Vega star. Effective temperature can be calculated by using the Wien shifting laws by find out the maximum wavelength of the final spectrum graph. The most found element in the atmosphere of Vega star was hydrogen (H) that consist of Hε, Hδ, Hγ, Hβ, and Hα. The value of effective temperature of the Vega star is 7136 K that has difference percentage of 22.85 % from the mean temperature of A type star.]]>
<![CDATA[PENGARUH WAKTU AKTIVASI TERHADAP SIFAT FISIS DAN ELEKTROKIMIA SEL SUPERKAPASITOR DARI SABUT PINANG ]]>
<![CDATA[Retno Handayani]]>;
<![CDATA[Erman Taer]]>
<![CDATA[ Komunikasi Fisika Indonesia Vol 16, No 2 (2019) ]]>
Publisher : <![CDATA[Universitas Riau ]]>
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DOI: 10.31258/jkfi.16.2.87-90
<![CDATA[The Carbon electrodes made from areca husk biomass materials have been successfully prepared and characterized. Preparation of carbon electrodes start with the pre-carbonization process, destruction of pre-carbon samples by using Ball Milling and sieving carbon powder for resulting particle size of <53 µm. Pre-carbonized powder is chemically activated using a 0.5 M KOH activator and continued by pellet forming by using Hydraulic Press. The carbonization process was carried out at a temperature of 600 oC using N2 gas followed by physical activation by using CO2 gas with a temperature of 900 oC for 1.5 hours, 2 hours and 2.5 hours. Physical properties analyzed include density, morphological structure and elemental content. The electrochemical properties were analyzed using the cyclic voltammetry (CV) method. The best density analysis result after carbonization-activation is 0.664 in SP-2.5 sample. The highest specific capacitance as high as 17.9 F / g found in the SP-1.5 sample.]]>
<![CDATA[FABRIKASI SENSOR SERAT OPTIK PLASTIK UNTUK DETEKSI ION LOGAM MERKURI DALAM AIR ]]>
<![CDATA[Ida Vaeruza]]>;
<![CDATA[Kukuh Eka Kurniansyah]]>;
<![CDATA[Faqih Darma]]>;
<![CDATA[Ian Yulianti]]>
<![CDATA[ Komunikasi Fisika Indonesia Vol 16, No 2 (2019) ]]>
Publisher : <![CDATA[Universitas Riau ]]>
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DOI: 10.31258/jkfi.16.2.123-129
<![CDATA[The presence of mercury ions is a serious threat to human health and environment. Water consumption containing mercury is very dangerous for human healt. The purpose of this work is to design a heavy metal sensor ion using plastic optical fiber to detect mercury ions in water. The sensor was fabricated by coating the optical fiber by chitosan through dip-coating technique. There are three diameter of optical fiber sensor that was fabricated, which are 1087.64 μm (sensor A), 1691.64 μm (sensor B) and 1736.33 μm (sensor C). Sensor characterization was done by connected the tip of plastic optical fiber to an LED and the other tip was connected to a photodioda. The results show that sensitivity of sample A is 0.32 mA/ppm, sample B is 0.56 mA/ppm and sample C is 0.64 mA/ppm. In terms of respone time, it is shown that thr respon time for sensor A, B and C are 22 s, 42.5 s and 86 s respectively.]]>
<![CDATA[STUDI AWAL RANCANG BANGUN COLORIMETER MENGGUNAKAN SENSOR OPT101 BERBASIS SISTEM ANDROID DENGAN DISPLAY SMARTPHONE ]]>
<![CDATA[Habibi Putra]]>;
<![CDATA[Yulkifli Yulkifli]]>
<![CDATA[ Komunikasi Fisika Indonesia Vol 16, No 2 (2019) ]]>
Publisher : <![CDATA[Universitas Riau ]]>
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DOI: 10.31258/jkfi.16.2.155-162
<![CDATA[Colorimeter is a color measuring device that is a tool that can distinguish colors based on the value of the output produced. In this study a colorimeter device was made using the OPT101 sensor, an analog sensor based light detector. OPT101 sensor has characteristics if the intensity of light received is getting brighter, the greater the sensor output value and vice versa. Because of the characteristics of the sensor like that, this sensor can be used as a measuring instrument to determine the concentration of a food coloring agent. This study aims to look at investigating the relationship between the concentration value of a dye solution to the OPT101 sensor response value contained in the colorimeter tool. The dyes used are red (metile red) and blue (brilliant blue) with 10 different variations of concentration, with a range of 0.01% -0.1%. After the measurement experiments were carried out on the sample, the results obtained were almost the same as the theory, namely the relationship between the concentration value was inversely proportional to the value of the sensor output. The inverse relationship means that the more concentrated a dye solution is, the more the light intensity penetrates the substance or dims. So that the OPT101 sensor detects a dimmer light source, the sensor output value gets smaller, because the relationship of the sensor output value is directly proportional to the intensity of the received light. Based on the measurements that have been made, the results of sensor response values are obtained for the red sample with a range of data from 276,698 decreasing to 240,762, while for the blue sample from the range 9,828 it decreases to 8.75. The value for the blue sample is much smaller because the blue sample is much thicker than the red sample.]]>
<![CDATA[STUDI AWAL GRADING BUAH SAWIT DENGAN BANTUAN INJEKSI TEGANGAN LISTRIK SEARAH ]]>
<![CDATA[Andri Saputra]]>;
<![CDATA[Wahyu Candra]]>;
<![CDATA[Yan Soerbakti]]>;
<![CDATA[Romi Fadli Syahputra]]>;
<![CDATA[Defrianto Defrianto]]>;
<![CDATA[Saktioto Saktioto]]>
<![CDATA[ Komunikasi Fisika Indonesia Vol 16, No 2 (2019) ]]>
Publisher : <![CDATA[Universitas Riau ]]>
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DOI: 10.31258/jkfi.16.2.103-106
<![CDATA[Maturity progress of palm fruit is greatly depending on the availability of nutrients and environments. Determining maturity level of palm fruit is important to evaluate the quality of palm oil fruits. The younger or too mature fruits will produce poor quality of crude palm oil (CPO). An appropriate devices are needed that can measure the level of fruit maturity so that uniformity of maturity grade can be carried out to obtain high quality CPO. This research provides a preliminary study of voltage change on the surface of oil palm seeds which subjected by electric potential. The low directional voltage (DC) injection treatment, ~ 10V, was applied to investigate the impact of applied voltage on palm oil seeds with three different levels of maturity, i.e. immature (young), ripe and over ripe . The results shown that oil palm fruit quite quickly responds to injection of DC applied voltage with different responding voltage. This responding voltage tends to increase with increasing maturity levels, but decreases for over ripe fruit which has falling down and starting to dry out. ]]>
<![CDATA[SEGMENTASI CITRA PARU-PARU MENGGUNAKAN METODE KONTUR AKTIF DENGAN VALIDASI ROC ]]>
<![CDATA[Sintha Syaputri]]>;
<![CDATA[Zulkarnain Zulkarnain]]>
<![CDATA[ Komunikasi Fisika Indonesia Vol 16, No 2 (2019) ]]>
Publisher : <![CDATA[Universitas Riau ]]>
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DOI: 10.31258/jkfi.16.2.91-95
<![CDATA[Segmentation is the process of separating parts of objects from the background by dividing images that have different object intensities with each other such as in imaging of body parts. Active contour segmentation was used for medical imaging that resistant to noise around objects. This study used 5 chest X-Ray images, specifically to the lungs with a grayscale format measuring 256 x 256 pixels, through the preprocessing process and filtering a Gaussian filter, each image was inputted to the R2015a version of the matlab GUI program. Then the segmentation had done by using the active contour method. In this method a curve in the form of a small circle was placed on the edge of object to be segmented. The curve will move according to the shape of the outer edge of the lung based on the values of active contour parameters such as Alpha, Beta, Gamma, Kappa, WEline, WEdge, WEterm and Iteration. Validation was done by using the ROC (Receiver Operating Characteristic) method and were obtained an average percentage with an accuracy value of 96.26%, a specificity of 96.47% and a sensitivity of 76.54%.]]>
<![CDATA[EFEK GELOMBANG TSUNAMI ACEH 2004 PADA GANGGUAN IONOSFER BERGERAK SKALA MENENGAH DARI PENGAMATAN JARINGAN GPS SUMATRA ]]>
<![CDATA[Asnawi Husin]]>;
<![CDATA[Buldan Muslim]]>
<![CDATA[ Komunikasi Fisika Indonesia Vol 16, No 2 (2019) ]]>
Publisher : <![CDATA[Universitas Riau ]]>
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DOI: 10.31258/jkfi.16.2.130-137
<![CDATA[Medium Scale Travelling Ionospheric Disturbance (MSTID), thought to be manifestation of atmospheric gravity wave (AGW) in the ionospheric altitude that propagates horizontally and effects on in the electron density structure of ionosphere. These atmospheric gravity waves sourced from lower atmospheric activities such as typhoons, volcanic eruptions and tsunamis. Wave energy by its coupling induction process can travel to the ionosphere region. It has been understood that the TID's wave structure have an impact on the propagation of radio waves in the ionosphere so that it will affect the performance of navigation satellite-based positioning measurements. Based on Aceh tsunami in December 2004, this study aimed to investigation of the induction of atmospheric gravity waves in the ionosphere using total electron content (TEC) data from the Sumatra GPS network (Sumatra GPS Array, SUGAR). The detection technique of TEC changes due to AGW induction with a filter to separate medium scale disturbance at the ionospheric pierce point at an altitude of 350 km (IPP, Ionospheric Pierce Point). The results show the horizontal wavelength of a medium-scale TID around 180 ± 12 Km with a velocities of around 376 ± 9 ms-1. Based on two-dimensional map, the TID moves to the southeast.]]>
<![CDATA[ANALISIS SIFAT MAGNETIK DAN STRUKTUR PARTIKEL PASIR BESI PANTAI ARTA PARIAMAN SUMATERA BARAT MENGGUNAKAN BALL MILLING ]]>
<![CDATA[Wita Yulia]]>;
<![CDATA[Erwin Erwin]]>
<![CDATA[ Komunikasi Fisika Indonesia Vol 16, No 2 (2019) ]]>
Publisher : <![CDATA[Universitas Riau ]]>
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DOI: 10.31258/jkfi.16.2.107-112
<![CDATA[Analisys of magnetic properties and structure of particles of iron sand of Arta, Pariaman beach West Sumatra. Has been conducted the iron sand samples were dried, then the iron sand separation process was carried out using Iron Sand Separator (ISS). Next, the sample was milled for 30, 60 and 90 hours. The separation between magnetic particles and non magnetic particles was done using Neodymium Iron Boron (NdFeB) magnet. Magnetic induction measurements were carried out using Pasco PS-2162 Magnetic Probe which measured the total magnetic induction of solenoid (solenoid with core sample and milled sample(consentrate II)) as a function of electric current of 1-8 A for a fixed distance of 1 mm. Identification of the content of elements contained in iron sand before and after processing with Ball Milling for 90 hours was carried out using X-Ray Fluorescence (XRF). The phase of magnetic particles processed by Ball Milling was determined using X-Ray Diffraction (XRD). The calculation results show that the magnetic susceptibility of the sample increases with increasing Ball Milling time, from (69426,19 × 10-5 – 80332,13 × 10-5). These values are in the interval 220 - 380.000 × 10-5of the Ilmenite mineral. The magnetite phase appears more than the maghemite phase and the hematite phase after Ball Milling for 90 hours. The particle size of magnetik particle decreases as milling time increase, this trend is confirmed by the result of XRD.]]>
<![CDATA[KAJIAN APLIKASI PANTULAN SINYAL GNSS UNTUK PEMANTAUAN KETINGGIAN PERMUKAAN AIR LAUT ]]>
<![CDATA[Buldan Muslim]]>;
<![CDATA[Charisma Juni Kumalasari]]>;
<![CDATA[Novie Chiuman]]>;
<![CDATA[Muhammad Ichsan Fadhil Arafah]]>
<![CDATA[ Komunikasi Fisika Indonesia Vol 16, No 2 (2019) ]]>
Publisher : <![CDATA[Universitas Riau ]]>
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DOI: 10.31258/jkfi.16.2.138-142
<![CDATA[Design and experiment of ocean current power generation system have been carried out using the Bach In Indonesia, the tsunami early warning system only applies the earthquake and hydrosphere relationship model to predict tsunamis. To date, no tsunami detector has used radar or GNSS technology. GNSS technology can be applied as an early warning system for tsunamis, provided that tsunamis are caused by earthquakes greater than 7 magnitudes, occur 70 kilometers below sea level, and are caused by normal faults. This could be an alternative to Bouy GNSS which is expensive to install and maintain, especially for countries with vast oceans such as Indonesia. In this paper, a review of the application of GNSS signal reflection was carried out using one International GNSS Service (IGS) station, JOG2, and one Continuously Operating Reference Station (CORS), CLSA, each located in Java and Sumatra to investigate the availability of sea level monitoring in Indonesia. Determination of sea level is obtained from two methods, the GNSS signal phase data analysis method and the GNSS Signal-to-Noise Ratio (SNR) data analysis method. Both methods use reflected GNSS signals or multipath effects to obtain sea level. The results of the study show that the number of satellites that pass through Indonesia every 15 minutes is enough to get sea-level data every 15 minutes to one hour. This shows that it is possible to apply the multipath effect to obtain sea level information in Indonesia to detect tides and tsunamis as part of the tsunami early warning system in Indonesia.]]>
