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Contact Name
Erlinda Ratnasari Putri
Contact Email
ppj@fmipa.unmul.ac.id
Phone
+628195142800
Journal Mail Official
ppj@fmipa.unmul.ac.id
Editorial Address
http://jurnal.fmipa.unmul.ac.id/index.php/ppj/about/editorialTeam
Location
Kota samarinda,
Kalimantan timur
INDONESIA
Progressive Physics Journal
Published by Universitas Mulawarman
ISSN : -     EISSN : 27227707     DOI : https://doi.org/10.30872/ppj.v3i2
Progressive Physics Journal adalah kumpulan hasil penelitian berbagai cabang ilmu Fisika, seperti Fisika Teori, Fisika Material, Fisika Elektronika & Instrumentasi, Fisika Medik, Fisika Komputasi dan Pemodelan, Geofisika, Oseanografi, dan cabang ilmu Fisika lainnya yang masih relevan. Progressive Physics Journal terbit sebanyak 2 kali dalam setahun. Ilmu Fisika perlu dikomunikasikan kepada masyarakat untuk diambil manfaatnya baik secara langsung maupun tidak langsung dan untuk perkembangan ilmu Fisika itu sendiri. Progressive Physics Jornal, sebagaimana nama tersebut diberikan, dimaksudkan tidak hanya untuk mengkomunikasikan ilmu Fisika yang bersifat atraktif dan inovatif, tapi juga progresif.
Articles 5 Documents
Search results for , issue "Vol 1 No 1 (2020): Progressive Physics Journal" : 5 Documents clear
Penentuan Nilai Faktor Mesin Pesawat Sinar-X Radiografi Digital Merek Shimadzu di RSUD Dr. Kanujoso Djatiwibowo Balikpapan Mamba'ul Fitriyana; Suhadi Muliyono; Kadek Subagiada
Progressive Physics Journal Vol 1 No 1 (2020): Progressive Physics Journal
Publisher : Program Studi Fisika, Jurusan Fisika, FMIPA, Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (596.21 KB) | DOI: 10.30872/ppj.v1i1.563

Abstract

The research on the determining machine factor (k) of Shimadzu digital radiograph X-ray machine have been done at the RSUD Dr. Kanujoso Djatiwibowo Balikpapan. Machine factor should be required in the calculation of radiation exposure which produced by the X-ray machine. Measurement data that have been used as independent variables were current-time, focus distance to the detector and tube voltage variations of 80 kV to 100 kV, while the dependent variable was the S value. Determination of the k value was conducted by weighted linear regression between V2 and using the results of research by Seibert and Morin (2011) for the condition of calibrated X-ray machine. Thus, the reseach has obtained the machine factor of the Shimadzu digital radiograph X-ray machine at the RSUD Dr. Kanujoso Djatiwibowo Balikpapan.
Analisis Lompatan Katak dan Manusia dalam Tinjauan Biomekanika Nadila Putri Sawhana
Progressive Physics Journal Vol 1 No 1 (2020): Progressive Physics Journal
Publisher : Program Studi Fisika, Jurusan Fisika, FMIPA, Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/ppj.v1i1.564

Abstract

Biomechanics is applied physics with implementing mechanics concepts in biological system. Biomechanics studies the movements of the whole body on living organism. The purpose of our research was to know the differences of jump between frog and human in the biomechanical field. In our experiment it was used the samples of 10 frogs and 10 humans by college students of physics department, Faculty of Mathematics and Natural Science, with randomly selected. The results of the research were: first, the ratios of the jump distance to mass of frog bodies were bigger than those of human bodies; second, the effective angles of the frog’s furthest jumps were (36.45 ± 0.027)° and those of human’s furthest jumps were (60.45 ± 0.002)°. The first result indicated that the frog’s tendon was more elastic than the human’s tendon.
Analisis Spasial Persebaran Dan Pemetaan Kerawanan Daerah Titik Panas Di Kalimantan Timur Menggunakan Spatial Pattern Analysis Dan Flexibly Shaped Spatial Scan Statistic Tiara Nur Hikmaulida; Memi Nor Hayati; Sri Wahyuningsih
Progressive Physics Journal Vol 1 No 1 (2020): Progressive Physics Journal
Publisher : Program Studi Fisika, Jurusan Fisika, FMIPA, Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (619.476 KB) | DOI: 10.30872/ppj.v1i1.615

Abstract

The statistical method used to analyze spatial data and spatial statistics. The case study in this study is the average number of hotspots in East Kalimantan by Regency / City in 2016-2018. This study aims to analyze the presence or absence of spatial autocorrelation in the data on the number of hotspots, determine the distribution pattern of hotspots, as well as determine the level of vulnerability of potential areas for forest and land fires in East Kalimantan by Regency / City in 2016-2018. The method used to analyze spatial autocorrelation globally and determine the distribution patterns is the Moran Index. Local Indicator of Spatial Autocorrelation (LISA) to analyze spatial autocorrelation locally. Spatial autocorrelation analysis results globally using the Moran Index with α = 25% shows that there is a spatial autocorrelation in the average number of hotspots in East Kalimantan in 2016-2018. The distribution pattern of hotspots in East Kalimantan is the pattern of spread which shows that in 2016-2018 the hotspots spread in each district / city of East Kalimantan. Meanwhile, the results of the local analysis using LISA showed that there were spatial autocorrelations in several districts / cities in East Kalimantan. The method used to determine the level of vulnerability of potential forest and land fires is Flexibly Shaped Spatial Scan Statistics and LISA. The results showed that the regencies / cities included in the category of forest and land fire hazard were Samarinda City, Bontang City, Kutai Kartanegara District and East Kutai.
Aplikasi Metode Spektrofotometri pada Klasifikasi Gas Karbon Monoksida (CO) dan Uap Bahan Bakar Petrodiesel (C14H30) Happy Nugroho; Edhi Sarwono; Aditya Rinaldi
Progressive Physics Journal Vol 1 No 1 (2020): Progressive Physics Journal
Publisher : Program Studi Fisika, Jurusan Fisika, FMIPA, Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (753.713 KB) | DOI: 10.30872/ppj.v1i1.559

Abstract

Gas classification techniques are often found in several applied fields such as, detection of leak gas in gas cylinders, monitoring the threshold of harmful pollutant gases in the air, health diagnostics, early detection of fire hazards, and others. This requires measurement techniques that are adaptive and robust that can dynamically capture information on changes in vapor or gas compounds contained in free air. This research has been conducted to analyze and identify the types of gas compounds, namely CO and petrodiesel fuel vapor (C14H30). The design of this tool uses the principle of spectrophotometry and the calculation of Backprogation Neural Networks. The working principle is that light radiation in the Light Emitting Diode (LED) series, which has a wavelength range of 385nm to 1720nm, is absorbed to penetrate CO gas or petrodiesel fuel vapor (C14H30) that you want to identify. Light radiation that has passed through the gas / vapor compound was captured by the photodiode sensor. The emission of LED series light radiation produces different wavelength absorption patterns that will be processed by the Backprogation Neural network as an input signal in the identification and learning process. The results of this experiment show the success rate of the Backpropagation neural network in identifying the type of CO gas and petrodiesel fuel vapor (C14H30) is 80%.
Studi Penggunaan Bolus Berbahan Silicone Rubber terhadap Dosis Permukaan pada Radioterapi Berkas Elektron Gede Wiratma Jaya; Heri Sutanto; Eko Hidayanto; Galih Puspa Saraswati
Progressive Physics Journal Vol 1 No 1 (2020): Progressive Physics Journal
Publisher : Program Studi Fisika, Jurusan Fisika, FMIPA, Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (394.408 KB) | DOI: 10.30872/ppj.v1i1.561

Abstract

Radiotherapy is a method of externally cancer therapy using a Linear Accelerator (LINAC) tool. LINAC can produce photon and electron beam energy which will be used to treat cancer according to the position of the cancer in the patient's body. When using an electron beam to treat cancer on the surface of the skin, it is found that there is a lack of a radiation dose. The use of bolus with Silicone Rubber (SR) material is a solution to provide an increase in radiation doses in the surface area of the skin. In this study SR boluses were made using the sol-gel method with dimensions of 17 cm x 17 cm x 1 cm. The SR Bolus was illuminated with an applicator field area of 10 cm x 10 cm and energy variations of 5 MeV and 7 MeV. The surface dose produced at the moment without using a bolus for 5 MeV and 7 MeV energy is 1.60 Gy and 1.61 Gy. When using bolus, the surface dose of 5 MeV and 7 MeV energy is 2.12 Gy and 2.06 Gy. From the results of this study it can be concluded that the use of SR bolus can increase a higher surface dose without using bolus.

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