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Jurnal Forum Nuklir
Published by Badan Tenaga Nuklir Nasional
ISSN : -     EISSN : -     DOI : -
Core Subject : Science,
Materials Science & Nanotechnology
Jurnal Forum Nuklir (JFN) adalah jurnal ilmiah bertaraf nasional dengan ruang lingkup semua aspek yang terkait dengan ilmu pengetahuan nuklir, teknologi nuklir, termasuk pendidikan dan sumber daya manusia nuklir. JFN (ISSN 1978-8738) diterbitkan oleh Sekolah Tinggi Teknologi Nuklir BATAN
Arjuna Subject : -
Articles 5 Documents
 1 
Search results for , issue "JURNAL FORUM NUKLIR VOL 15 NO 2 NOVEMBER 2021" : 5 Documents clear
STATISTICAL ANALYSIS OF X-RAY GENERATOR LEAKAGE TEST AT HOSPITALS AND HEALTH CENTERS IN CENTRAL JAVA PROVINCE Risky Nurseila Karthika; Toto Trikasjono; Supriyono Supriyono
Jurnal Forum Nuklir JURNAL FORUM NUKLIR VOL 15 NO 2 NOVEMBER 2021
Publisher : BATAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17146/jfn.2021.15.2.6203

Abstract

Several research has been conducted yearly on X-Ray generator leakage by the Research Community and Devotion Polytechnics Institute of Nuclear Technology. However, none have determined the feasibility of X-rays in analyzing radiation leakages. Therefore, this research aims to conduct a statistical analysis test to determine the X-ray generator’s leakage level in radiology installations at several districts in Central Java province, initialized with A, B, C, D, E, F, G, H, and I from 2012-2014. This research was carried out using a non-parametric statistic method due to its ability to analyze data in several places simultaneously at an average radiation leakage value of under 1 mGy/hour. However, some X-Ray Generators at districts H, I, and C exceed the limit of radiation leakage with row percentages of 7.6%, 37.5%, and 14.2%. The condition and information of the ranges in X-Ray Generator leakage at several districts in Central Java can be easily identified because the data is inputted into the thematic map and window chart using the Geographical Information System and computed by ArcView 3.3. The non-parametric statistics results showed that the operating procedure at each radiological installation in some districts of Central Java Province had been conducted in good quality. The data proportion in districts A, B, C, D, E, F, G, H, and I are equal to the statistics values of 2,31033<9,2364;  0,2944442<13,3616; 4,6559925<10,6446; 0,1884249<12,0170; 0,0576894<4,6052; 0,4609793<2,70554; 0,9539133<7,7794; 17,452924<34,3816; 7,2867225<12,0170, respectively.
REVIEW: CORN COB POTENTIAL FOR APPLICATIONS IN COMMERCIAL PRODUCTS Sebastianus Dani Ganesha; Salsabila Maris Syahputri; Samuel Yedija Liem; Joko Prasetyo; Harum Azizah Darojati
Jurnal Forum Nuklir JURNAL FORUM NUKLIR VOL 15 NO 2 NOVEMBER 2021
Publisher : BATAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17146/jfn.2021.15.2.6217

Abstract

Post-harvest activities of agricultural products often generate wastes. One of the agricultural wastes that increase every year is corn cobs, which have a high cellulose content and can potentially be used as raw materials for making natural fibers. Therefore, this study aims to examine the several potential commercial products from corn cobs. The method used is a literature study by tracing the sources of previous writings. Furthermore, how to process corn cobs waste for the manufacture of natural fibers and commercial products will be discussed. From the previously traced sources in the utilization of corn cobs waste, 4 products were obtained. The results are nano hydrogels based on gamma radiation, activated carbon with a carbonation process, bioethanol using the SSF process, and the use of corn cob cellulose as good-quality brake lining.
POTENTIAL OF RICE STRAW AS A NATURAL FIBER MATERIAL FOR COMMERCIAL PRODUCTS Lulu Fahriah Lihawa; Itsna Wafiyatul Izzah; Khairum Hawari Qolbiyah Siregar; Kurnia Syarafina Ramadhanti; Harum Azizah Darojati
Jurnal Forum Nuklir JURNAL FORUM NUKLIR VOL 15 NO 2 NOVEMBER 2021
Publisher : BATAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17146/jfn.2021.15.2.6206

Abstract

Cellulose is a material used in producing natural fibers, which is more environmentally friendly than synthetic fibers.Rice straw waste contains much cellulose and has potential as natural fiber.However, before the natural cellulose fiber is extracted from the rice straw, it must pass through several processes, such as chemicals or nuclear radiation, especially during the pretreatment process. Furthermore, the resulting natural fibers are utilized to replace synthetic fibers for use as raw materials in manufacturing several commercial products. This review describes a process that can be applied to manufacture natural fibers from rice straw and commercial products made from natural cellulose fibers.
IDENTIFICATION OF INCOMPLETE PENETRATION WELDING DEFECTS ON DIGITAL RADIOGRAPHIC FILM FIGURES WITH THE GEOMETRIC INVARIANT MOMENT Agus Probo Sutejo; Haerul Ahmadi; Tasih Mulyono
Jurnal Forum Nuklir JURNAL FORUM NUKLIR VOL 15 NO 2 NOVEMBER 2021
Publisher : BATAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17146/jfn.2021.15.2.6283

Abstract

The examination of defects in radiographic films necessitates specialized knowledge, as indicated by an expert radiographer (AR) degree, yet the subjectivity of AR in identifying defects is problematic. To overcome this subjectivity, automatic welding defect identification is needed. This is executed by using Matlab to create artificial neural networks, which is beneficial for users with the graphical user interface (GUI) feature. One of the breakthroughs in figure extraction into seven feature vector values is the geometric invariant moment theory. This prevents translation, rotation, and scaling from changing the figure's characteristics. Therefore, a welding defect identification system with a geometric invariant moment was created in the digital radiographic film figure to overcome the reading error by AR. The identification system obtained an accuracy rating of 89.9%
DEVELOPMENT OF 5 DOF ROBOTIC ARM PROTOTYPE CONTROL SYSTEM IN BRACHYTHERAPY PREPARATION BASED ON ARTIFICIAL NEURAL NETWORK Adi Abimanyu, M.Eng; Misbah Habib Putra; Muhtadan Muhtadan
Jurnal Forum Nuklir JURNAL FORUM NUKLIR VOL 15 NO 2 NOVEMBER 2021
Publisher : BATAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17146/jfn.2021.15.2.6282

Abstract

Brachytherapy is a cancer treatment that uses radioactive sources with temporary or permanent implantation in cancer tissue. The theraphy uses a radioactive Ir-192 source wrapped in a stainless steel capsule with a diameter of 0.5 mm and a length of 4 mm. The Center for Radioisotopes and Radiopharmaceutical Technology applies a remote manipulator to manufacture microcapsules, which affects the accuracy and risks of the radiation received by the operator. Therefore, to solve this problem, it is necessary to design a 5 DoF robotic arm based on artificial neural networks as a radioactive source transfer tool to improve the precision and safety of operators in preparing the radioactive sources. In developing the 5 DoF robotic arm control system, the NImyRIO was employed, which can control the servo motor, relay pump and valve reality, image processing, and inverse kinematic. The inverse kinematic uses the neural network method with a forward kinematic validation. The inverse kinematic test obtains the RMSE value of 2.78932 for x, 5.05205 for y, and 12.641 for z in the inverse kinematic test of artificial neural networks. Therefore, the inverse kinematic accuracy of the artificial neural network needs to be redeveloped.

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