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Contact Name
Usman Malik
Contact Email
 usman.malik@lecturer.unri.ac.id
Phone
+62811756227
Journal Mail Official
kfi@ejournal.unri.ac.id
Editorial Address
Jurusan FMIPA Universitas Riau Kampus Bina Widya Km 12,5 Simpang Baru Pekanbaru
Location
Kota pekanbaru,
Riau
INDONESIA
Komunikasi Fisika Indonesia
Published by Universitas Riau
ISSN : 14122960     EISSN : 2579521X     DOI : 10.31258/jkfi
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).
Articles 390 Documents
SISTEM MONITORING KEBAKARAN HUTAN BERBASIS INTERNET OF THINGS (IoT) Jesi Pebralia; Rustan Rustan; Rizqa Raaiqa Bintana; Iful Amri
Komunikasi Fisika Indonesia Vol 19, No 3 (2022)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.19.3.183-189

Abstract

In this study, a forest fire monitoring system based on IoT has been developed where the parameters used include temperature, wind speed, air humidity, and hotspots. These physical parameters are measured in real time using sensors installed in locations prone to forest fires. The sensor measurement data sent and processed by the Arduino Uno microcontroller and sent to the server using the Internet of Things (IoT). The forest fire monitoring system developed has a high level of accuracy, where the temperature sensor has an accuracy of 99.9%, the air humidity sensor has an accuracy of 97.85%, and the wind speed sensor has an accuracy of 90.70%. The hotspot detection system also has good performance, where the sensor can detect the presence of hotspot in real time. The development of an IoT system for monitoring four forest fire parameters was made using the Blynk application. The system can work well where data from the four forest fire parameters can be monitored in real time via computer devices or via smartphones.
POTENSI NANOPARTIKEL PERAK HASIL BIOSINTESIS MENGGUNAKAN EKSTRAK KULIT SENTUL SEBAGAI PENDETEKSI LOGAM MERKURI Ari Sulistyo Rini; Anggrid Fitrisia; Yolanda Rati
Komunikasi Fisika Indonesia Vol 19, No 3 (2022)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.19.3.190-194

Abstract

Silver (Ag) nanoparticles have recently been widely applied due to its high surface plasmon resonance (SPR) properties compared to other metals. In this present work, Ag nanoparticles were prepared through a green synthesis technique that uses sentul peel extracts as a reducing agent. Ag nanoparticles were prepared by reacting AgNO3 and the extract at the volume ratios of 4:1, 3:2, and 1:1. These solutions were heated at 80°C for 30 minutes to form colloidal silver nanoparticles. The optical properties of Ag nanoparticles were characterized using UV-Vis and FTIR spectroscopy. Furthermore, Ag nanoparticles were tested as an indicator of mercury metal detection in term of colorimetric. The UV-Vis absorbance peak of Ag nanoparticles was obtained at wavelengths of 409 nm, 408 nm, and 402 nm. The FTIR spectrum showed the presence of four functional groups, namely, C≡C, C=O, HC≡CH, and O-H. The optimum sample of Ag nanoparticles in the detection of metallic mercury is the 4:1 sample because it shows a significant colour change.
ANALISIS BOD, COD, DAN TSS PADA LIMBAH INDUSTRI MINYAK SAWIT DENGAN METODE FILTRASI MENGGUNAKAN KARBON AKTIF TEMPURUNG BIJI KARET Ety Jumiati; Abdul Halim Daulay; Siti Rahma Daulay
Komunikasi Fisika Indonesia Vol 19, No 3 (2022)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.19.3.136-140

Abstract

This research has carried out the quality of palm oil wastewater before filtration, after filtration, and the most optimal variation. In this study using activated carbon seed shell, zeolite, and silica sand with sample variation A: (60%:20%:20%) , B: (50%:25%:25%), and C: (40% :30%:30%). Tests in this study include: (BOD, COD and TSS). The results of testing the palm oil industrial waste before the filtration process did not meet the RI Minister of Environment Regulation No. 5 tahun  2014, while after the filtration process it met the requirements of the RI Minister of Environment Regulation No. 5 tahun 2014, and the most optimal variation in this test was sample A with value 60% activated carbon.
ANALISIS UJI KIMIA KESADAHAN DAN BESI PADA AIR SUNGAI HULU BANGKO DENGAN MEDIA FILTRASI KARBON AKTIF KULIT KACANG TANAH Ety Jumiati; Abdul Halim Daulay; Putri Indah Sari
Komunikasi Fisika Indonesia Vol 19, No 3 (2022)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.19.3.141-145

Abstract

The filtering of river water has been carried out with the aim of knowing the edvantages of the river water upstream of Bangko before the filtration process is carried out, after the filtrations proces is caried out, and to determine the most optimum variation. In this study using the composition of activated carbon of peanut shells, silica sand, manganese, and zeolite with sample variations A (30% : 30% : 20% : 20%), B (35% : 25% : 20% : 20%), and C (40% : 20% : 20% : 20%). In this study, the chemical test parameters were: (hardness, and iron). The results of testing the river water before the filtration process has not met the PERMENKES RI No. 32 of 2017. Meanwhile, after the river water filtration process has met the clian waters standard based on the PERMENKES RI No. 32 of 2017. And the optimum variation is sample C with an activated carbon value of 40%.
KAJIAN PEMANFAATAN METODE SEVERE HAIL INDEX SECARA SPASIAL UNTUK DETEKSI KEJADIAN HUJAN ES DI JAWA BARAT I Made Agus Satya
Komunikasi Fisika Indonesia Vol 19, No 3 (2022)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.19.3.161-168

Abstract

Hail is precipitation that is detrimental to the community, occurs in a short time, and is very local. It becomes a challenge to detect and give early warning. One method known to detect hail is the severe hail index (SHI) and its derivative product, the probability of severe hail (POSH). Utilize weather radar, the method detects by taking the value of the kinetic energy flux of hail by calculating the integration of the reflectivity weight and temperature flux from the freezing level to a temperature of -20ºC. This study aims to examine the spatial use of SHI and POSH methods to detect hail events in the West Java region. The results of SHI value obtained for 350 Jm-1s-1– 400 Jm-1s-1 for Depok and 280 Jm-1s-1– 320 Jm-1s-1 for Bogor, which met the threshold of average hail threshold of 373 Jm-1s-1. Then POSH obtained a 70% – 80% probability for Depok and Bogor. Meanwhile, for Bandung, the SHI value is 12 Jm-1s-1– 14 Jm-1s-1 and 0% for POSH. Concluded that hail detection utilizing SHI and POSH methods effectiveness, influenced by the distance to the radar so it requires other additional methods such as RGB Composite from satellite imagery as support. Spatial calculations can also reduce value bias and give more accurate location occurrences.
ANALISIS SIFAT MEKANIK PLASTIK BIODEGRADABLE PATI BIJI ALPUKAT DAN SELULOSA SEKAM PADI Ety Jumiati; Miftahul Husnah; Sunny Nafisah
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.20.1.69-74

Abstract

Biodegradable plastics have been investigated using avocado seed starch, rice husk cellulose, chitosan, and glycerol in order to determine the mechanical characteristics of biodegradable plastics. Variations in the composition of avocado seed starch and rice husk cellulose in each sample A (100% : 0%), B (87.5% : 12.5%), C (75% : 25%), D (62.5% : 37.5%), and E (50% : 50%). The process of making biodegradable plastic is carried out using a material mixing process using a magnetic stirrer and a hot plate at a maintained temperature of  ± 70°C − 80°C and dried in an oven. Mechanical tests carried out include tensile strength, elongation, and modulus of elasticity tests. The results of the mechanical characterization test for the optimal biodegradable plastic are found in sample E (50% : 50%) with a tensile strength value of 20.6123 MPa and an elastic modulus of  353.7985 MPa which meets the ASTM D882-12 standard.
PEMANFAATAN LIMBAH KULIT SINGKONG DAN SEKAM PADI DALAM PEMBUATAN BIOBRIKET DENGAN PEREKAT TAPIOKA SEBAGAI BAHAN ALTERNATIF BIOMASSA Ratu Intan Berlian; Lalu Ahmad Didik Meiliyadi; Bahtiar Bahtiar
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.20.1.1-8

Abstract

This study aims to determine the effect of sample comparison composition on moisture content, ash content, calorific value, mass density, combustion time and rate of combustion of biobriquettes. In this briquette, the samples tested are materials from processed waste products of cassava peel and rice husks with tapioca adhesive. This study uses six stages, namely the preparation stage, drying stage, mixing stage, combustion stage, and quality test stage. In testing the quality of briquettes, three samples were used in each briquetting test, namely samples A, B, and C, each of which was a ratio of cassava peel and rice husk of 10:90, 20:80, and 30:70. The results showed that the lowest water content was found in the ratio between cassava peel and rice husk 10:90, the lowest ash content was found in biobriquettes with a ratio of cassava peel and rice husk 10:90, the highest heating value was found in a ratio of 10:90, mass density the highest is in the ratio of 10:90, the fastest burning rate is in the ratio of 10:90, the longest burning time is in the ratio of cassava peel and rice husks of 10:90. So that the comparison composition of quality cassava peels and rice husks is if the addition of the composition of the rice husk samples is more in number than the composition of the cassava peels.
PEMBUATAN INKUBATOR TELUR DENGAN ARDUINO SEBAGAI MIKROKONTROLER MENGGUNAKAN SISTEM INTERNET OF THINGS (IoT) Andara Paulina; Masthura Masthura; Nazaruddin Nasution
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.20.1.103-108

Abstract

In the process of hatching eggs in poultry, stable temperature and humidity are needed so that the eggs can develop properly. Poultry eggs, especially chickens take 21 days to hatch with a temperature of 37°C – 39°C and humidity of 50% – 60%. The study aims to produce an incubator that is able to monitor temperature and humidty based on arduino microcontrollerswith an internet of things (IoT) system and determine the stability of temperature and humidity values in the incubator. Test were carried out by incubating 6 eggs in an incubator with the result that 5 eggs hatched perfectly and 1 other egg did not develop properly. The conditions of temperature and humidity during the hatching process are classifed as stable, namely termperatures between 37.34°C – 38.34°C and humidity between 52.80% – 56.40%. The system is able to read and send the readings of temperature and humidity sensor values to the Blynk aplication properly.
STUDI KOMPUTASI KARAKTERISTIK OPTIK CYANIDIN SEBAGAI SENSITISER DENGAN PELARUT ETHANOL, AIR, DAN ACETONITRILE Elvan Yuniarti; Ai Nurlaela
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.20.1.39-48

Abstract

Cyanidin molecule is a type of anthocyanin that has the potential as a sensitizer for dye sensitiser solar cell (DSSC). This molecule is contained in blueberries, grapes, raspberries, and others. This study aims to determine cyanidin molecules' molecular orbitals and HOMO-LUMO energy levels with ethanol, water, and acetonitrile. In addition, this study aims to determine the optical properties of cyanidin dye with ethanol, water, and acetonitrile as solvents. The method used in this research is density functional theory (DFT) and TD-DFT/UB3LYP using Orca.2.02 and quantum espresso applications. The results obtained in the molecular orbitals of cyanidin with various solvents (ethanol, water, acetonitrile) obtained energy gap: 2.8 eV, 2.4 eV, and 3.2 eV. The results of UV-Vis absorption spectra (ethanol, water, acetonitrile) have the same wavelength (158.80 nm – 271.10 nm, 362.10 nm, 453.60 nm) but the intensity is different. Likewise the results of theinfra red spectra (1138 cm-1 – 1486 cm-1), and the Raman spectra (1141 cm-1 – 1606 cm-1) for different solvents have almost the same wave number.
PEMISAH AIR DAN CRUDE PALM OIL DENGAN METODE ADSORPSI MENGGUNAKAN SENSOR WARNA TCS3200 DAN SENSOR PHOTODIODE BERBASIS ARDUINO UNO Muhammad Iqbal Zailany Nasution; Mulkan Iskandar Nasution
Komunikasi Fisika Indonesia Vol 20, No 2 (2023)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.20.2.165-170

Abstract

To lessen financial damages brought on by industrial mishaps, a device that can recycle or reuse oil emissions mixed with water is required. The purpose of this study was to evaluate the sensor readings for crude palm oil (CPO) oil thickness, presence, and tool effectiveness in separating CPO oil from water. photodiode and the tool's effectiveness in separating the water and oil in CPO. The red frequency value on the TCS3200 color sensor reading increases as the thickness of the oil in the tank increases. The percentage deviation value of the CPO oil volume generated from these results is 9.7%. Before suction or the laser still penetrates the water, the photodiode sensor's light intensity reading is 74, and when it is exposed to oil, the reading is 0. The CPO oil thickness test findings show that as the CPO oil thickness increases, so does the red frequency value on the sensor. The photodiode sensor's laser light reception intensity is 74 when it detects water, and 0 when it detects oil. According to test data, the gadget has a 90.3% success rate in separating water and oil.