cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
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
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
 1   2 
Search results for , issue "Vol 21, No 2 (2024)" : 15 Documents clear
Random forest algorithm for precision dose prediction in brain cancer radiotherapy Luqyana Adha Azwat; Prawito Prajitno; Dwi Seno Kuncoro Sihono; Dewa Ngurah Yudhi Persada
Indonesian Physics Communication Vol 21, No 2 (2024)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.21.2.183-186

Abstract

Improving dose optimization during clinical planning using the treatment planning system for radiotherapy patients is crucial, yet executing this process can be time-consuming and reliant on the expertise of medical physicists. This research focuses on dose prediction employing machine learning for the planning target volume (PTV) and organ at risk (OAR) in cases of brain cancer treated with the volumetric modulated arc therapy planning technique. Utilizing DICOM planning data from brain cancer cases, this study utilizes extracted radiomic and dosiomic values as inputs and outputs for the research, employing a random forest algorithm model. Evaluation of the model reveals its effectiveness in predicting doses for PTV in brain cancer and OAR, with predicted homogeneity index and conformity index values of 0.14 ± 0.04 and 0.95 ± 0.01, respectively, compared to clinical values of 0.14 ± 0.13 and 0.94 ± 0.13. Thus, the random forest model demonstrates proficiency in predicting doses for brain cancer PTV and OAR, with an mean square error value of 0.017.
Design an Arduino-based rice ATM machine system using RFID and ultrasonic sensors Andi Dhika Putranta Makullawu
Indonesian Physics Communication Vol 21, No 2 (2024)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.21.2.137-142

Abstract

A system has been developed for an Arduino-based rice ATM machine that utilises RFID and ultrasonic sensors. The system employs a quantitative research strategy and is designed to automatically distribute rice to the public. This device utilises the Arduino Uno microcontroller as its primary controller. The sensors employed for detection of rice quantity in the rice ATM machine are Ultrasonic Sensors. The activation card reader utilised to dispense rice is an radio frequency identification (RFID) reader. The output components responsible for the operation of the rice ATM machine are a Servo Motor, a 2X16 LCD, and a Buzzer. The study yielded satisfactory results as each component tested and utilised in the rice ATM machines successfully executed the controller programme commanded by Arduino. This programme effectively dispensed rice in the desired quantity, detected unauthorised cards, and accurately determined rice balances. Furthermore, the application of these components proved to be straightforward and uncomplicated. In public, this can be demonstrated through testing conducted on individual components or machines. RFID technology is used to read the frequency from the RFID card, while ultrasonic sensors detect the quantity of rice and generate a code using a buzzer. Additionally, an LCD display provides comprehensive information about the rice ATM's status, which users can easily comprehend. The mechanical system of the servo motor enables the movement of the exit door for rice weighing over 15 kg.
The effect of variations in corncob activated carbon filter media with zeolite in digging well water purification Ridwan Yusuf Lubis; Ety Jumiati; Arif Amri Panggabean
Indonesian Physics Communication Vol 21, No 2 (2024)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.21.2.165-170

Abstract

Water is the most important element in human life, because almost all human activities require water, especially clean water which has a main function that cannot be replaced by other compounds. The aim of this research was to determine the quality of dug well water after the filtering process using corncob activated carbon and zeolite, as well as to find out which variations are optimal for obtaining clean water according to the Republic of Indonesia Minister of Health Regulation No. 32 of 2017. The strategy used to obtain clean water is the filtration technique. by organizing zeolite and activated carbon. The samples used came from Bandar Setia Village, Percut Sei Tuan District, Deli Serdang Regency, North Sumatra Province. Activated carbon is made from corn cobs which are activated with a 10% H3PO4 solution for 24 hours. The composition of the purification system is varied into three, variation A is zeolite 75% and active carbon 25%, variation B is zeolite 50% and active carbon 50%, and variation C zeolite 25% and active carbon 75%. The greatest variation in reducing parameters in dug well water is variation A with a turbidity value of 3.7 NTU, Mn of 0.011 mg/l and KMnO4 of 5.8 mg/l. It can be explained that the results of this test are in accordance with clean water standards based on the PERMENKES Republic of Indonesia No. 32 of 2017. The results of this research that are most optimal in reducing parameters in dug well water are variation A.
Fabrication of a lithium-ion battery separator from cellulose acetate of empty palm fruit bunches with the addition of PVDF Rismadani Haryanti; Romi Fadli Syahputra; Delovita Ginting
Indonesian Physics Communication Vol 21, No 2 (2024)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.21.2.115-120

Abstract

The separator is a crucial element in lithium-ion batteries that is positioned between the anode and cathode. Its primary function is to prevent direct contact between the electrodes, hence avoiding electrical short circuits. Lithium ion battery separators are typically composed of polyvinylidene fluoride (PVDF) and polyacrylonitrile (PAN) polymers, which possess excellent ionic conductivity and mechanical qualities. Nevertheless, these polymers and materials possess numerous drawbacks, necessitating adjustments for their further development. The objective of this study is to examine the impact of incorporating novel polymers into the constituents of the separator. The alteration utilises a novel polymer called cellulose, specifically the cellulose derivative known as cellulose acetate. The cellulose acetate utilised is derived from the empty fruit bunches of oil palm trees. Cellulose acetate offers several benefits, including affordability, the ability to selectively adsorb substances, solubility in a wide range of solvents (particularly organic solvents), hydrophilicity, and its origin from renewable sources. The separator was fabricated using the reflux process, which involved mixing 5.6 g of PVDF and 0.7 g of Al(OH)3 with varying amounts of CA (0.1 g, 0.2 g, and 0.3 g). The conducted tests include the thickness test, elongation test, and PSA test. According to the test results, the separator is viable and complies with the standards.
Implementation of gas leak detection and security systems in smart homes Sonya Sasmita Simanjuntak; Mulkan Iskandar Nasution; Nazaruddin Nasution
Indonesian Physics Communication Vol 21, No 2 (2024)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.21.2.143-148

Abstract

Leakage of liquified petroleum gas (LPG) cylinders or devices is still one of the main causes of fires known for its flammability so that leaks in LPG are at high risk of fire. To overcome this, a tool is made to prevent crime or gas leaks that often occur to homeowners. This research was conducted to find out the security control system for homeowners and overcome if a gas leak occurs. The method used in this tool is the method of designing a tool to detect gas leaks and a security system at home when left by the owner. From the test results of the prototype that has been designed, the error percentage is 1.6% and also in the MQ2 sensor section where the distance conditions and variables used are distance, time and gas source so that if gas is detected, the fan will turn on and an sms message will appear on the smartphone.

Page 2 of 2 | Total Record : 15

 1   2 

Filter by Year

2024 2024


Reset
Filter By Issues
All Issue Vol 22, No 2 (2025) Vol 22, No 1 (2025) Vol 21, No 3 (2024) Vol 21, No 2 (2024) Vol 21, No 1 (2024) Vol 20, No 3 (2023) Vol 20, No 2 (2023) Vol 20, No 1 (2023) Vol 19, No 3 (2022) Vol 19, No 2 (2022) Vol 19, No 1 (2022) Vol 18, No 3 (2021) Vol 18, No 2 (2021) Vol 18, No 1 (2021) Vol 17, No 3 (2020) Vol 17, No 2 (2020) Vol 17, No 1 (2020) Vol 16, No 2 (2019) Vol 16, No 1 (2019) Vol 15, No 2 (2018) Vol 15, No 1 (2018) Vol 14, No 2 (2017) Vol 14, No 1 (2017) Vol 13, No 13 (2016) Vol 13, No 12 (2016) Vol 13, No 12 (2016) Vol 12, No 11 (2015) Vol 12, No 10 (2015) Vol 11, No 9 (2014) Vol 11, No 8 (2014) Vol 10, No 7 (2013) Vol 10, No 6 (2013) Vol 9, No 04 (2012) Vol 9, No 5 (2012) Vol 8, No 3 (2011) More Issue