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Usman Malik
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Komunikasi Fisika Indonesia
Published by Universitas Riau
ISSN : 14122960     EISSN : 2579521X     DOI : 10.31258/jkfi
Core Subject : Science, Engineering,
Earth & Planetary Sciences Electrical & Electronics Engineering Energy Materials Science & Nanotechnology Physics
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).
Arjuna Subject : Fisika dan Astronomi - Fisika dan Astronomi (Lain-Lain)
Articles 15 Documents
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Search results for , issue "Vol 20, No 1 (2023)" : 15 Documents clear
ANALISIS KECEPATAN DAN GAYA HAMBAT MOBIL PADA TANJAKAN DENGAN SUDUT ELEVASI YANG BERBEDA Lutfi Puspita Meliasari; Fatimah Putri Utami; Bayu Setiaji
Komunikasi Fisika Indonesia Vol 20, No 1 (2023)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.20.1.91-96

Abstract

In this day and age almost everyone has private vehicles, especially cars. When driving using a car, you must always pay attention to the terrain traveled, such as uphill roads. When uphill, the car must resist obstacles, such as rolling inhibition force, incline drag force, and wind inhibition force. This study aims to determine the inhibitory force on the incline so that it must estimate the amount of gas speed of the car when passing the ramp, and can reduce the risk of accidents. In this study using quantitative methods with the help of tracker applications. This study resulted in an incline inhibition force when the car went uphill, namely in black cars of 2,112 N at a speed of 4,539 m/s, in black pick up cars of 1,350 N at a speed of 4,970 m/s, in white pick up cars of 1,166 N at a speed of 2,870 m/s, and on white cars of 1,840 N at a speed of 3,850 m/s.
STUDI SIFAT OPTIK BERDASARKAN PREKURSOR DALAM SINTESIS ZnO Viza Novia Putri; Iwantono Iwantono; Puji Nurrahmawati; Nashiha Chalvi Syahra
Komunikasi Fisika Indonesia Vol 20, No 1 (2023)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.20.1.25-30

Abstract

ZnO is a semiconductor material that can be applied for solar cells, biosensors, and electronics. In this study, the synthesis of ZnO was carried out using two precursors, namely zinc acetate dihydrate (ZAD) and zinc nitrate hexahydrate (ZNH). Synthesis of ZnO determine the optical properties based on the precursors. The synthesis of ZnO by hydrothermal method. The results of ZnO were analyzed using UV-Vis spectroscopy characterization. UV-Vis spectroscopy characterization determine for the absorbance and transmittance of the samples. The wavelength range was 200 – 800 nm. The absorbance spectrum shows strong absorption occurs at UV wavelengths. That are effectively applied to solar cells. The highest absorbance was obtained by the ZAD precursor. The transmittance for the ZAD precursor exceeded 8.8% and ZNH precursor it exceeded 19.7% at visible light wavelengths. The band gap energy of ZnO with ZAD precursor and ZNH precursor are 2.85 eV and 2.87 eV. Furthermore, other optical properties have been calculated from absorbance measurements such as the urbach energy.
IDENTIFIKASI AIR LAUT TERHADAP AIR TANAH MENGGUNAKAN METODE GEOLISTRIK KONFIGURASI SCHLUMBERGER DI KELURAHAN MUNDAM KOTA DUMAI Mei Saroh; Usman Malik
Komunikasi Fisika Indonesia Vol 20, No 1 (2023)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.20.1.61-68

Abstract

Seawater intrusion has a serious impact on the availability of clean water for the population. Indications of seawater intrusion in several locations in Mundam Village, Dumai City are shown by fluctuations in resident well water from fresh water to brackish water to salt water. This study aims to determine the seawater intrusion zone that occurs using the geoelectric method of the Schlumberger configuration in Mundam Village, Dumai City and to determine the water quality around the research area using several parameters, namely pH, salinity, total dissolved solid, and Turbidity. 1D data processing is carried out with progress software and a 1D cross-sectional model is obtained. This research was conducted on 2 tracks with a distance of 100 meters for each track. The results of the inversion using progress software can be seen that seawater intrusion occurs on line 1, the resistivity value is 0.46 Ωm with a depth of 14.74 – 22 m. Line 2 no longer contains seawater because the distance is more than 1 km from the coast. The depth of groundwater on track 2 is 15.09 – 22 m with a resistivity value of 1.59 Ωm so that at a distance of more than 1 km from the coast it is very good for residents to use drilled wells to get water suitable for consumption.
PEMANFAATAN LIMBAH BIOMASSA TEMPURUNG KELAPA UNTUK ALAT TEKNOLOGI PENGERING PAKAIAN BERBASIS ARDUINO UNO Mutia Febri Irdayanti; Krisman Krisman; Juandi Muhammad; Annisa Alqorina
Komunikasi Fisika Indonesia Vol 20, No 1 (2023)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.20.1.97-102

Abstract

Research on the utilization of coconut shell biomass waste for clothes dryer technology based on Arduino Uno has been carried out using the experimental method. This Arduino Uno-based dryer technology uses biomass energy from coconut shells with a mass of 2,000 grams for thin clothes and 4,000 grams for thick clothes. Observations were made based on the amount of coconut shell mass and the type of clothing used at 10 minute intervals. The results for a mass of 2,000 grams of coconut shell reached the highest temperature value with an average source temperature of 61.32°C, an average temperature in the drying chamber of 54.53°C with a minimum humidity of 19.5%, while the results for a mass of 4,000 grams coconut shell reached the highest temperature value with an average source temperature of 100.46°C, an average temperature in the drying chamber of 94.62°C with a minimum humidity of 21.1%.
ANALISIS PREDIKSI CURAH HUJAN MENGGUNAKAN METODE JARINGAN SARAF TIRUAN BACKPROPAGATION DI KABUPATEN MUARO JAMBI Rustan Rustan; Tika Restianingsih; Ester Kristianti
Komunikasi Fisika Indonesia Vol 20, No 1 (2023)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.20.1.31-38

Abstract

Rainfall is one of the important natural factors influencing flood and drought conditions, and directly affects regional water resources and agricultural production. In general, weather conditions in a place and time tend to vary, so information about weather conditions is needed through rainfall predictions. The prediction method used is the backpropagation artificial neural network (ANN) method which is arranged according to the learning algorithm that will be used. This study uses four stages, namely data collection, data preprocessing, data processing, and research data analysis. The secondary data used is rainfall from 2014-2022 in Muaro Jambi Regency. Based on the results of testing the number of neurons in the hidden layer, it shows that the more the number of neurons, the higher the error value generated. This is because the training function used is saturated. Where the training function used has parameters that can increase and decrease the value of the learning rate. Next, compare the predictions for 2022 between BMKG data and predictions for ANN backpropagation. Based on the analysis of predictions for 2022 for rainfall and humidity, an average accuracy of 97.82% is obtained. This shows that the result of the ANN method is quite good in predicting rainfall.

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