Pub Date : 2023-08-21DOI: 10.11113/jurnalteknologi.v85.19943
Alaa I. Naser, M. T. Mahmood, Omar M. A. Mahmood Agha
Deficient irrigation is a very significant study, especially with the limited water. Therefore, the current research aims to study the deficit irrigation depending on several different scenarios, by adding different amounts of water and irrigation rates (10%, 30%, 50%, 70%, 90%) of the full irrigation with changing irrigation time and studying its effect on productivity. The results showed that there is a clear effect on the productivity of barley at the level of irrigation (10%-30%) of the full irrigation and for all irrigation dates when changing the date of the first irrigation only, while the results showed when changing the second irrigation only and the first and second irrigation at the level of irrigation (10% - 30% -50%) of the full irrigation, the productivity will decrease by 13.75 - 84.7 kg/ha. It was also noticed that changing the irrigation level for the first irrigation has a very small effect on productivity compared to changing the irrigation level for the second irrigation and for all irrigation dates, and the reason for this is the difference in the stages of yield growth. While the results showed that changing the irrigation level for the first and second irrigation together will have a greater effect on productivity than the rest of the other scenarios.
{"title":"EFFECTS OF DEFICIT IRRIGATION ON BARLEY YIELD USING SEVERAL IRRIGATION SCENARIOS","authors":"Alaa I. Naser, M. T. Mahmood, Omar M. A. Mahmood Agha","doi":"10.11113/jurnalteknologi.v85.19943","DOIUrl":"https://doi.org/10.11113/jurnalteknologi.v85.19943","url":null,"abstract":"Deficient irrigation is a very significant study, especially with the limited water. Therefore, the current research aims to study the deficit irrigation depending on several different scenarios, by adding different amounts of water and irrigation rates (10%, 30%, 50%, 70%, 90%) of the full irrigation with changing irrigation time and studying its effect on productivity. The results showed that there is a clear effect on the productivity of barley at the level of irrigation (10%-30%) of the full irrigation and for all irrigation dates when changing the date of the first irrigation only, while the results showed when changing the second irrigation only and the first and second irrigation at the level of irrigation (10% - 30% -50%) of the full irrigation, the productivity will decrease by 13.75 - 84.7 kg/ha. It was also noticed that changing the irrigation level for the first irrigation has a very small effect on productivity compared to changing the irrigation level for the second irrigation and for all irrigation dates, and the reason for this is the difference in the stages of yield growth. While the results showed that changing the irrigation level for the first and second irrigation together will have a greater effect on productivity than the rest of the other scenarios.","PeriodicalId":47541,"journal":{"name":"Jurnal Teknologi-Sciences & Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44730513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-21DOI: 10.11113/jurnalteknologi.v85.19629
Herliati Rahman, M. Mulyani
Greenhouse gas emissions such as CO2 are released during clinker production through various processes, including the calcination reaction of limestone (CaCO3). To reduce CO2 emissions per ton of cement produced, some studies have explored the use of clinker substitutes. However, a reduction in the amount of clinker can also result in decreased compressive strength of the cement. To address this issue, the addition of a Strength Improver Agent (SIA) can be used to maintain the necessary compressive strength and ensure compliance with all relevant standards. Therefore, This study aimed to determine the optimal amount of SIA required to achieve the desired compressive strength. The study added SIA in varying amounts (100, 150, 200, 250, 300, 350, and 400 ppm), and the compressive strength of cement was measured at 1, 3, 7, and 28 days based on ASTM C 109 and QPT-LAB-SNI-05 standards. Physical tests were also conducted, including Blaine, 325 mesh residue, Insoluble Residue (IR), Loss on Ignition (LOI), and XRF based on ASTM C 114, ASTM-STP 985, XRF Thermo ARL 8480S. The observations and analysis showed that the optimum amount of SIA addition is 350 ppm, where the resulting compressive strength increases at least 7% compared to blanks.
在熟料生产过程中，通过各种过程，包括石灰石(CaCO3)的煅烧反应，会释放二氧化碳等温室气体。为了减少每吨水泥的二氧化碳排放量，一些研究探索了熟料替代品的使用。然而，熟料用量的减少也会导致水泥抗压强度的降低。为了解决这个问题，可以添加强度改进剂(SIA)来保持必要的抗压强度，并确保符合所有相关标准。因此，本研究旨在确定达到所需抗压强度所需的SIA的最佳量。该研究添加了不同量的SIA(100、150、200、250、300、350和400 ppm)，并根据ASTM C 109和QPT-LAB-SNI-05标准测量了水泥在1、3、7和28天的抗压强度。采用ASTM C 114、ASTM- stp 985、XRF Thermo ARL 8480S进行了Blaine、325目残留物、不溶性残留物(IR)、燃失量(LOI)和XRF等物理测试。观察和分析表明，SIA的最佳添加量为350 ppm，其抗压强度比毛坯提高至少7%。
{"title":"IMPROVE THE COMPRESSIVE STRENGTH USING A STRENGTH IMPROVER AGENT (SIA) IN THE CEMENT INDUSTRY IN INDONESIA","authors":"Herliati Rahman, M. Mulyani","doi":"10.11113/jurnalteknologi.v85.19629","DOIUrl":"https://doi.org/10.11113/jurnalteknologi.v85.19629","url":null,"abstract":"Greenhouse gas emissions such as CO2 are released during clinker production through various processes, including the calcination reaction of limestone (CaCO3). To reduce CO2 emissions per ton of cement produced, some studies have explored the use of clinker substitutes. However, a reduction in the amount of clinker can also result in decreased compressive strength of the cement. To address this issue, the addition of a Strength Improver Agent (SIA) can be used to maintain the necessary compressive strength and ensure compliance with all relevant standards. Therefore, This study aimed to determine the optimal amount of SIA required to achieve the desired compressive strength. The study added SIA in varying amounts (100, 150, 200, 250, 300, 350, and 400 ppm), and the compressive strength of cement was measured at 1, 3, 7, and 28 days based on ASTM C 109 and QPT-LAB-SNI-05 standards. Physical tests were also conducted, including Blaine, 325 mesh residue, Insoluble Residue (IR), Loss on Ignition (LOI), and XRF based on ASTM C 114, ASTM-STP 985, XRF Thermo ARL 8480S. The observations and analysis showed that the optimum amount of SIA addition is 350 ppm, where the resulting compressive strength increases at least 7% compared to blanks.","PeriodicalId":47541,"journal":{"name":"Jurnal Teknologi-Sciences & Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43540726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-21DOI: 10.11113/jurnalteknologi.v85.18082
S. Steven, Yusrin Ramli, Davin Pratama, Pandit Hernowo, Pasymi Pasymi, E. Restiawaty, Y. Bindar
Silica production from sandstone requires tremendous fossil resources that threaten our environment. Hence, greener resources from biomass should be utilized. One of them is from bamboo leaves which contain rich silica in ash. Even so, acid wash should be applied to achieve higher silica purity. This work aims to investigate the acid wash influences on the physicochemical characteristics of bamboo leaves ash (BLA). The treatment used 1 mol/L HCl under 1-h, 2-h, and no acid wash as a control. The BLA crystallography indicates a fully amorphous phase of silica. Interestingly, 1-h acid wash precisely reduces the silica purity from 95.35% to 94.74%, but it then increases to 96.06% under 2-h acid wash. It is also notified that the longer acid wash duration could alleviate leaves’ mechanical strength. After calcination, consequently, a smaller average particle size of BLA was nominated under 2-h acid wash (6.32 mm). It was then followed by 1-h acid wash (21.32 mm) and no acid wash (149.44 mm). The 2-h acid wash is concluded able to intensify silica purity as well as reduce the particle size of BLA. Finally, acid wash treatment becomes important to facilitate further BLA extraction in order to achieve high purity of silica.
{"title":"ACID WASH INFLUENCES ON PHYSICOCHEMICAL CHARACTERISTICS OF BAMBOO LEAVES ASH","authors":"S. Steven, Yusrin Ramli, Davin Pratama, Pandit Hernowo, Pasymi Pasymi, E. Restiawaty, Y. Bindar","doi":"10.11113/jurnalteknologi.v85.18082","DOIUrl":"https://doi.org/10.11113/jurnalteknologi.v85.18082","url":null,"abstract":"Silica production from sandstone requires tremendous fossil resources that threaten our environment. Hence, greener resources from biomass should be utilized. One of them is from bamboo leaves which contain rich silica in ash. Even so, acid wash should be applied to achieve higher silica purity. This work aims to investigate the acid wash influences on the physicochemical characteristics of bamboo leaves ash (BLA). The treatment used 1 mol/L HCl under 1-h, 2-h, and no acid wash as a control. The BLA crystallography indicates a fully amorphous phase of silica. Interestingly, 1-h acid wash precisely reduces the silica purity from 95.35% to 94.74%, but it then increases to 96.06% under 2-h acid wash. It is also notified that the longer acid wash duration could alleviate leaves’ mechanical strength. After calcination, consequently, a smaller average particle size of BLA was nominated under 2-h acid wash (6.32 mm). It was then followed by 1-h acid wash (21.32 mm) and no acid wash (149.44 mm). The 2-h acid wash is concluded able to intensify silica purity as well as reduce the particle size of BLA. Finally, acid wash treatment becomes important to facilitate further BLA extraction in order to achieve high purity of silica.","PeriodicalId":47541,"journal":{"name":"Jurnal Teknologi-Sciences & Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46739059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-21DOI: 10.11113/jurnalteknologi.v85.19879
Md. Ikramul Hoque, M. Hasan, Nusrat Jahan Mim
The application of stone columns, which can improve the overall carrying capacity of soft clay as well as lessen the settlement of buildings built on it, is among the most widespread ground improvement techniques throughout the globe. The performance of foundation beds is enhanced by their stiffness values and higher strength, which could withstand more of the load applied. Therefore, the cost of construction can be decreased by using recycled stone dust as granular material in vertical granular columns, which can then be strengthened with a singular stone dust column that is covered in geotextile for enhancing soft clay’s overall strength. A further unconfined compression test was performed on remolded specimens of soft kaolin clay measuring 50 mm in diameter and 100 mm in height and mounted with a single encapsulated stone dust column measuring 10 mm and 16 mm in diameter. Test results show that when kaolin is implanted with a single encased stone dust column that has an area replacement ratio of 10.24% and penetration ratios of 0.6, 0.8, and 1.0, the shear strength increases are 51.75%, 74.5%, and 49.20%, respectively. The equivalent shear strength increases are 48.50%, 68.50%, and 43.50% for soft soil treated with a 12.00% area replacement ratio and 0.6, 0.8, and 1.0 penetration ratios, respectively. The diameter and height of the column had an impact on the shear strength parameters, which significantly improved for both encased and non-encased stone dust columns.
{"title":"SHEAR STRENGTH OF SOFT CLAY REINFORCED WITH SINGLE ENCASED STONE DUST COLUMNS","authors":"Md. Ikramul Hoque, M. Hasan, Nusrat Jahan Mim","doi":"10.11113/jurnalteknologi.v85.19879","DOIUrl":"https://doi.org/10.11113/jurnalteknologi.v85.19879","url":null,"abstract":"\u0000\u0000\u0000\u0000The application of stone columns, which can improve the overall carrying capacity of soft clay as well as lessen the settlement of buildings built on it, is among the most widespread ground improvement techniques throughout the globe. The performance of foundation beds is enhanced by their stiffness values and higher strength, which could withstand more of the load applied. Therefore, the cost of construction can be decreased by using recycled stone dust as granular material in vertical granular columns, which can then be strengthened with a singular stone dust column that is covered in geotextile for enhancing soft clay’s overall strength. A further unconfined compression test was performed on remolded specimens of soft kaolin clay measuring 50 mm in diameter and 100 mm in height and mounted with a single encapsulated stone dust column measuring 10 mm and 16 mm in diameter. Test results show that when kaolin is implanted with a single encased stone dust column that has an area replacement ratio of 10.24% and penetration ratios of 0.6, 0.8, and 1.0, the shear strength increases are 51.75%, 74.5%, and 49.20%, respectively. The equivalent shear strength increases are 48.50%, 68.50%, and 43.50% for soft soil treated with a 12.00% area replacement ratio and 0.6, 0.8, and 1.0 penetration ratios, respectively. The diameter and height of the column had an impact on the shear strength parameters, which significantly improved for both encased and non-encased stone dust columns.\u0000\u0000\u0000\u0000","PeriodicalId":47541,"journal":{"name":"Jurnal Teknologi-Sciences & Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46180291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-21DOI: 10.11113/jurnalteknologi.v85.18893
N. Esa, S. N. Misman, Maisarah Mohamad Saad, Mohd Fitri Masarudin
Rice blast is one of the most critical limiting factors for rice plant growth performance, and it occurs in 85 countries, causing 10-35% grain yield losses. Several findings have indicated the positive benefits of nitrogen (N), potassium (K), and Silicon (Si) fertilization on plant development, yield, and biotic stress relief. However, due to rice blast attacks, its growth, development, and yield may be restricted or limited by insufficient or unbalanced N, K, and Si fertilizers. This study was conducted to optimize the fertilization strategies for rice panicle blast control and improve rice grain yield. The methods used were Central Composite Design and Response Surface Methodology. The application of N, K and Si did not influence the number of spikelets per meter square, filled grain (%) and 1000- grain weight (g). An increase in K and Si significantly reduced the rice blast severity in the off-season 2021 and the main-season 2021/2022. On the other hand, only Si had influenced rice grain yield production. An increase in Si showed a positive linear trend in rice grain yield. Based on these results, panicle blast disease is expected to be controlled with the recommended rate of 104 N kg/ha, 42 P2O5, 80 kg K2O, and an additional 200 Si kg/ha, which minimizes the rice blast severity (%) but at the same time maximizes the rice grain yield. The findings of this study provide a scientific base and technical advice for high-yield rice grain-growing under panicle blast disease hot spot areas.
稻瘟病是水稻生长性能最关键的限制因素之一，在85个国家发生，造成10-35%的粮食产量损失。一些研究结果表明，氮（N）、钾（K）和硅（Si）施肥对植物发育、产量和生物胁迫缓解有积极的好处。然而，由于稻瘟病的侵袭，其生长、发育和产量可能会受到N、K和Si肥料不足或不平衡的限制。本研究旨在优化水稻穗瘟病防治的施肥策略，提高水稻产量。所使用的方法是中央复合材料设计和响应面方法。施氮、施钾、施硅不影响每平方米小穗数、实粒数（%）和千粒重（g）。在2021年淡季和2021/2022年主季，K和Si的增加显著降低了稻瘟病的严重程度。另一方面，只有Si影响了水稻产量。Si的增加对水稻产量呈正线性趋势。基于这些结果，预计以104 N kg/ha、42 P2O5、80 kg K2O和额外200 Si kg/ha的推荐速率控制穗部稻瘟病，这将使稻瘟病严重程度（%）最小化，但同时使水稻产量最大化。研究结果为稻瘟病高发区水稻高产提供了科学依据和技术建议。
{"title":"NITROGEN, POTASSIUM, AND SILICON FERTILIZATION TO ACHIEVE LOWER PANICLE BLAST SEVERITY AND IMPROVE YIELD COMPONENTS OF RICE USING RESPONSE SURFACE METHODOLOGY","authors":"N. Esa, S. N. Misman, Maisarah Mohamad Saad, Mohd Fitri Masarudin","doi":"10.11113/jurnalteknologi.v85.18893","DOIUrl":"https://doi.org/10.11113/jurnalteknologi.v85.18893","url":null,"abstract":"\u0000\u0000\u0000\u0000Rice blast is one of the most critical limiting factors for rice plant growth performance, and it occurs in 85 countries, causing 10-35% grain yield losses. Several findings have indicated the positive benefits of nitrogen (N), potassium (K), and Silicon (Si) fertilization on plant development, yield, and biotic stress relief. However, due to rice blast attacks, its growth, development, and yield may be restricted or limited by insufficient or unbalanced N, K, and Si fertilizers. This study was conducted to optimize the fertilization strategies for rice panicle blast control and improve rice grain yield. The methods used were Central Composite Design and Response Surface Methodology. The application of N, K and Si did not influence the number of spikelets per meter square, filled grain (%) and 1000- grain weight (g). An increase in K and Si significantly reduced the rice blast severity in the off-season 2021 and the main-season 2021/2022. On the other hand, only Si had influenced rice grain yield production. An increase in Si showed a positive linear trend in rice grain yield. Based on these results, panicle blast disease is expected to be controlled with the recommended rate of 104 N kg/ha, 42 P2O5, 80 kg K2O, and an additional 200 Si kg/ha, which minimizes the rice blast severity (%) but at the same time maximizes the rice grain yield. The findings of this study provide a scientific base and technical advice for high-yield rice grain-growing under panicle blast disease hot spot areas.\u0000\u0000\u0000\u0000","PeriodicalId":47541,"journal":{"name":"Jurnal Teknologi-Sciences & Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49261383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-21DOI: 10.11113/jurnalteknologi.v85.19423
Shahliza Azreen Sarmin, Azli Abd Razak, Fauziah Jerai, Mohd Khir Harun
An investigation into the spread of the COVID-19 virus within a confined space including an aircraft cabin is essential in order to find out the mechanism. However, this is time-consuming and limited in scope, so a computational fluid dynamics (CFD) simulation is used instead. Therefore, a prior study and an appropriate choice of turbulence model are required before the simulation. The main objective of this study is to validate and evaluate the results predicted by the Open Source Field Operation and Manipulation (OpenFOAM) software through comparison with the experimental data from the literature which was conducted using particle image velocimetry (PIV) measurement. Three different Reynolds-averaged Navier-Stokes turbulence models were selected; Re-normalisation Group k - ɛ (RNG), Realizable k - ɛ (RLZ) and Low Reynold Number (LRN) to simulate a mixing ventilation system of a scaled-down model of empty aircraft cabin. In the RNG and LRN model cases, a fairly large circulation flows were observed on the right and left sides of the model representing the passenger area. The results were also evaluated quantitatively using the factor of two of observations (FAC2) for the velocity components and turbulent kinetic energy (TKE) with root mean square error (RMSE) for the former and normalised mean square errors (NMSE) for the latter. The simulation results showed that RNG and LRN are capable of predicting the flow field well. However, for TKE prediction LRN performed better than RNG which concluded that LRN is the suitable turbulence model in simulating flow fields in investigated case.
{"title":"CFD SIMULATION AND VALIDATION FOR MIXING VENTILATION SCALED-DOWN EMPTY AIRCRAFT CABIN USING OPENFOAM","authors":"Shahliza Azreen Sarmin, Azli Abd Razak, Fauziah Jerai, Mohd Khir Harun","doi":"10.11113/jurnalteknologi.v85.19423","DOIUrl":"https://doi.org/10.11113/jurnalteknologi.v85.19423","url":null,"abstract":"\u0000\u0000\u0000\u0000An investigation into the spread of the COVID-19 virus within a confined space including an aircraft cabin is essential in order to find out the mechanism. However, this is time-consuming and limited in scope, so a computational fluid dynamics (CFD) simulation is used instead. Therefore, a prior study and an appropriate choice of turbulence model are required before the simulation. The main objective of this study is to validate and evaluate the results predicted by the Open Source Field Operation and Manipulation (OpenFOAM) software through comparison with the experimental data from the literature which was conducted using particle image velocimetry (PIV) measurement. Three different Reynolds-averaged Navier-Stokes turbulence models were selected; Re-normalisation Group k - ɛ (RNG), Realizable k - ɛ (RLZ) and Low Reynold Number (LRN) to simulate a mixing ventilation system of a scaled-down model of empty aircraft cabin. In the RNG and LRN model cases, a fairly large circulation flows were observed on the right and left sides of the model representing the passenger area. The results were also evaluated quantitatively using the factor of two of observations (FAC2) for the velocity components and turbulent kinetic energy (TKE) with root mean square error (RMSE) for the former and normalised mean square errors (NMSE) for the latter. The simulation results showed that RNG and LRN are capable of predicting the flow field well. However, for TKE prediction LRN performed better than RNG which concluded that LRN is the suitable turbulence model in simulating flow fields in investigated case.\u0000 \u0000\u0000\u0000\u0000","PeriodicalId":47541,"journal":{"name":"Jurnal Teknologi-Sciences & Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42647146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-21DOI: 10.11113/jurnalteknologi.v85.19454
B. Bilalodin, Wihantoro Wihantoro, A. Haryadi, F. Abdullatif
The dosimetry analysis of Boron Neutron Capture Therapy (BNCT) on thyroid cancer using the Particle and Heavy Ion Transport Code System (PHITS) has been carried out. The purpose of research was to determine the received dose rate and the irradiation time required for thyroid cancer therapy using the BNCT method. The geometry of thyroid model is based on MIRD phantom with cancer cells located in the center of the thyroid. The phantom was irradiated using a neutron source from DLBSA based 30 MeV cyclotron. Simulations were carried out at boron concentrations of (10, 20, 30, 40, 50, 60, and 70) mg/g tissue. Simulation results show that the boron concentration increases with dose rate. The highest dose rate was obtained in the Gross Target Volume (GTV) of 1.590 x 10-2 Gy/s using a boron concentration of 70 mg/g tissue. The effective time for cancer therapy was calculated based on the highest dose rate obtained at 57 minutes.
利用粒子和重离子传输编码系统（PHITS）对癌症的硼中子捕获治疗（BNCT）进行了剂量测定分析。本研究的目的是用BNCT方法确定甲状腺癌症治疗所需的剂量率和照射时间。甲状腺模型的几何形状基于MIRD体模，癌症细胞位于甲状腺中心。使用来自基于DLBSA的30MeV回旋加速器的中子源照射体模。模拟是在硼浓度为（10、20、30、40、50、60和70）mg/g组织下进行的。模拟结果表明，硼浓度随剂量率的增加而增加。在硼浓度为70 mg/g组织的情况下，在1.590 x 10-2 Gy/s的总靶体积（GTV）下获得了最高剂量率。癌症治疗的有效时间是根据57分钟时获得的最高剂量率计算的。
{"title":"DOSIMETRY ANALYSIS OF BORON NEUTRON CAPTURE THERAPY (BNCT) ON THYROID CANCER USING PHITS CODE WITH NEUTRON FROM 30 MeV CYCLOTRON","authors":"B. Bilalodin, Wihantoro Wihantoro, A. Haryadi, F. Abdullatif","doi":"10.11113/jurnalteknologi.v85.19454","DOIUrl":"https://doi.org/10.11113/jurnalteknologi.v85.19454","url":null,"abstract":"The dosimetry analysis of Boron Neutron Capture Therapy (BNCT) on thyroid cancer using the Particle and Heavy Ion Transport Code System (PHITS) has been carried out. The purpose of research was to determine the received dose rate and the irradiation time required for thyroid cancer therapy using the BNCT method. The geometry of thyroid model is based on MIRD phantom with cancer cells located in the center of the thyroid. The phantom was irradiated using a neutron source from DLBSA based 30 MeV cyclotron. Simulations were carried out at boron concentrations of (10, 20, 30, 40, 50, 60, and 70) mg/g tissue. Simulation results show that the boron concentration increases with dose rate. The highest dose rate was obtained in the Gross Target Volume (GTV) of 1.590 x 10-2 Gy/s using a boron concentration of 70 mg/g tissue. The effective time for cancer therapy was calculated based on the highest dose rate obtained at 57 minutes.","PeriodicalId":47541,"journal":{"name":"Jurnal Teknologi-Sciences & Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49299125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-21DOI: 10.11113/jurnalteknologi.v85.20392
M. S, Duraivelu K
Industrial monoblock centrifugal pumps are critical pieces of rotational machinery that play an important role in manufacturing operations. The critical components must be in proper working order for the industry to continue operating. State monitoring is essential for monitoring and analysing the condition of equipment. Bearing failure, cavitation, a broken impeller, and other issues are common in monoblock centrifugal pumps. Traditional procedures for calculating outcomes have been proven to be time-consuming and difficult. At regular intervals, time domain vibrational signals are collected for the defective pump. These vibrational indicators are evaluated to the healthy, defect-free pump. To acquire the accuracy, these images are fed into an efficient deep convolutional neural network (DCNN). This research examines two types of failures outer race bearing seal failure and cavitation. The visuals are trained and assessed in proportions of 70:30. Finally, the DCNN architecture's fault diagnosis accuracy is 99.07%.
{"title":"VIBRATION BASED PREDICTIVE FAULT ANALYSIS OF BEARING SEAL FAILURE AND CAVITATION ON INDUSTRIAL MONOBLOCK CENTRIFUGAL PUMP USING DEEP LEARNING ALGORITHM","authors":"M. S, Duraivelu K","doi":"10.11113/jurnalteknologi.v85.20392","DOIUrl":"https://doi.org/10.11113/jurnalteknologi.v85.20392","url":null,"abstract":"Industrial monoblock centrifugal pumps are critical pieces of rotational machinery that play an important role in manufacturing operations. The critical components must be in proper working order for the industry to continue operating. State monitoring is essential for monitoring and analysing the condition of equipment. Bearing failure, cavitation, a broken impeller, and other issues are common in monoblock centrifugal pumps. Traditional procedures for calculating outcomes have been proven to be time-consuming and difficult. At regular intervals, time domain vibrational signals are collected for the defective pump. These vibrational indicators are evaluated to the healthy, defect-free pump. To acquire the accuracy, these images are fed into an efficient deep convolutional neural network (DCNN). This research examines two types of failures outer race bearing seal failure and cavitation. The visuals are trained and assessed in proportions of 70:30. Finally, the DCNN architecture's fault diagnosis accuracy is 99.07%.","PeriodicalId":47541,"journal":{"name":"Jurnal Teknologi-Sciences & Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47035627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-21DOI: 10.11113/jurnalteknologi.v85.19884
Chyntia Jaby Ak Entuni, T. Zulcaffle, Kismet Hong Ping, A. Sharangi, T. Upadhyay, Mohd Saeed
Chilli is extensively grown all over the globe and is particularly important as a food. One of the most difficult issues confronting chilli cultivation is the requirement for accurate identification of leaf diseases. Leaf diseases have a negative impact on chilli production quality, resulting in significant losses for farmers. Numerous Machine Learning (ML) and Convolution Neural Network (CNN) models have been developed for classifying chilli leaf diseases under uniform background and uncomplicated leaf conditions, with an average classification accuracy achieved. However, a diseased leaf usually grows alongside a cluster of other leaves, making it difficult to classify the disease. It will be easier for farmers if there is a reliable model that can classify a chilli leaf disease in a cluster of leaves. The aim of this study was to propose a model for classifying chilli leaf disease from both a uniform background and a complex cluster of leaves. Images of diseased chilli leaves are acquired using a low-cost Kinect camera, which include discoloration, grey spots, and leaf curling. The different types of chilli leaf disease are then classified using an improved ShuffleNet CNN model. With a classification accuracy of 99.82%, the proposed model outperformed the other existing models.
{"title":"SMART AGRICULTURAL MONITORING SOLUTION FOR CHILLI LEAF DISEASES USING A LOW-COST KINECT CAMERA AND AN IMPROVED CNN ALGORITHM","authors":"Chyntia Jaby Ak Entuni, T. Zulcaffle, Kismet Hong Ping, A. Sharangi, T. Upadhyay, Mohd Saeed","doi":"10.11113/jurnalteknologi.v85.19884","DOIUrl":"https://doi.org/10.11113/jurnalteknologi.v85.19884","url":null,"abstract":"\u0000\u0000\u0000\u0000Chilli is extensively grown all over the globe and is particularly important as a food. One of the most difficult issues confronting chilli cultivation is the requirement for accurate identification of leaf diseases. Leaf diseases have a negative impact on chilli production quality, resulting in significant losses for farmers. Numerous Machine Learning (ML) and Convolution Neural Network (CNN) models have been developed for classifying chilli leaf diseases under uniform background and uncomplicated leaf conditions, with an average classification accuracy achieved. However, a diseased leaf usually grows alongside a cluster of other leaves, making it difficult to classify the disease. It will be easier for farmers if there is a reliable model that can classify a chilli leaf disease in a cluster of leaves. The aim of this study was to propose a model for classifying chilli leaf disease from both a uniform background and a complex cluster of leaves. Images of diseased chilli leaves are acquired using a low-cost Kinect camera, which include discoloration, grey spots, and leaf curling. The different types of chilli leaf disease are then classified using an improved ShuffleNet CNN model. With a classification accuracy of 99.82%, the proposed model outperformed the other existing models.\u0000\u0000\u0000\u0000","PeriodicalId":47541,"journal":{"name":"Jurnal Teknologi-Sciences & Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45240190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-21DOI: 10.11113/jurnalteknologi.v85.19618
Y. Romdania, I. S. Banuwa, S. B. Yuwono, E. P. Wahono, S. Triyono
Sedimentation measurement has been quite difficult to do as it requires more time for and more activity in water management, thus affects the quality and quantity of obtained data. The purpose of this study was to create a set of devices capable of automatically measuring sediment and flow characteristics. The phases of this research were the determination and assembly of all the device components, creation of a program for converting data into numbers, sampling, and device testing. The results of the device testing, which were obtained from calibration and conversion tests, indicated that the devices had been well tested. The calibration and conversion curves showed the R value was close to 1. As for the unit conversion equation of NTU and ppm, it was y = 11.71x – 1037.2. In conclusion, with the successful creation of this automatic measuring devices, the turbidity and flow velocity-based sedimentation measurement is expected to be the solution to issues demanding efficient and practical data retrieval.
{"title":"DESIGNING THE TECHNOLOGY FOR TURBIDITY SENSOR-BASED AUTOMATIC RIVER SEDIMENTATION MEASUREMENT","authors":"Y. Romdania, I. S. Banuwa, S. B. Yuwono, E. P. Wahono, S. Triyono","doi":"10.11113/jurnalteknologi.v85.19618","DOIUrl":"https://doi.org/10.11113/jurnalteknologi.v85.19618","url":null,"abstract":"Sedimentation measurement has been quite difficult to do as it requires more time for and more activity in water management, thus affects the quality and quantity of obtained data. The purpose of this study was to create a set of devices capable of automatically measuring sediment and flow characteristics. The phases of this research were the determination and assembly of all the device components, creation of a program for converting data into numbers, sampling, and device testing. The results of the device testing, which were obtained from calibration and conversion tests, indicated that the devices had been well tested. The calibration and conversion curves showed the R value was close to 1. As for the unit conversion equation of NTU and ppm, it was y = 11.71x – 1037.2. In conclusion, with the successful creation of this automatic measuring devices, the turbidity and flow velocity-based sedimentation measurement is expected to be the solution to issues demanding efficient and practical data retrieval.","PeriodicalId":47541,"journal":{"name":"Jurnal Teknologi-Sciences & Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42551895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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