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Breast cancer has the largest prevalence and third mortality rate among all cancer cases in the world. Drug resistance has been a major problem, urging the need for drug discovery. Various studies have shown several active substances from natural ingredients that can inhibit the invasion and migration of cancer cells, including Zerumbone contained in Lempuyang (Zingiber zerumbet). However, no study has been made to explore the molecular targets of Zerumbone in breast cancer. The purpose of this study is to find potential molecular targets of Zerumbone in silico. Bioinformatic analysis was conducted with STITCH and STRING to get direct and indirect target proteins of Zerumbone, respectively. The resulting target proteins were selected according to the NCBI database of breast cancer stem cell regulatory genes using a Venn Diagram. Eighty-three Zerumbone target proteins in breast cancer cells were obtained. Then, their degree in biological interaction was assessed and ranked with STRING and Cytohubba. Six molecules from the top 20 targets (AKT1, XIAP-BIR2, XIAP BIR-3, HSP90AA1, MDM2, and EP300) were then used as targets for molecular docking of Zerumbone, performed with Autodock 1.5.6. Molecular docking revealed that Zerumbone binds all tested targets with low binding energy, indicating that Zerumbone can have multi-targets in combating cancer. [ABSTRACT FROM AUTHOR]

To see the flow pattern that occurs in the Pelton turbine blade mold, it is seen by comparing the pressure drop and the comparison of the pressure drop with the speed using Solidworks software. The moving fluid makes the propeller rotate and produces energy to move the rotor. The research was conducted to see the process of resin pouring in the Pelton turbine blade mold using Solidworks software. From the simulation results, the velocity value is 0.0003 m/s, the pressure drop is 35495.65 Pa at 0.000475 m/s velocity pressure drop =52012.65 Pa and 0.00065 m/s =77152.41 Pa at velocity 0.00825 m/s obtained pressure drip =115700.58 Pa. the velocity value with the pressure drop value is directly proportional, that is, if the velocity value is greater, the pressure value is also greater and the comparison value between pressure drop with the incoming velocity value from the Z-axis (vertical) is also directly proportional. The appropriate speed for numerical analysis using Solidworks software is 0.0003 m/s. [ABSTRACT FROM AUTHOR]

This study aims to provide an overview of students' choices about which Indonesian YouTubers to collaborate with amongst them. The research used qualitative method started with a survey in a population of YouTube viewers, especially on top ten popular YouTubers in Indonesia. An ordinary survey was conducted as the beginning of the implementation of this research, based on top ten YouTubers in Indonesia and followed by text analysis to analyze the description of their choices. The 49 respondents from diverse departments mostly chose DC Channel and MB Channel as a pair to collaborate. Most descriptions as the reason for both YouTubers to collaborate were because both have qualified contents, one in the area of discussing trending topics in the society while the other is very humourous. These factors have made the students curious about the performance how entertaining if they work together in the collaboration project for their YouTube channels. The results showed that the students need digital entertainment which is smart yet entertaining. [ABSTRACT FROM AUTHOR]

Wind tunnel testing plays an important role in determining the design of infrastructure and transportation media whose performance is influenced by aerodynamic effects. In a typical wind tunnel test, a set of raw data is generally produced that represents the results sensed by the measuring instrumentation. This data set can be patterned for various purposes, such as classifying wind tunnel test types and checking the readiness level of wind tunnel test systems. This research activity seeks to model the pattern of raw data from the Indonesian Low Speed Tunnel wind tunnel test, by compiling a data structure consisting of four raw data clusters, namely pressure, temperature, force/moment, and attitude of the test model, conditioning the data structure so that it forms a 16 different raw data patterns, and perform numerical tests to verify and validate the classification of raw data patterns using the K-Nearest Neighbor method. The results show that the developed model is capable of classifying according to the expected 16 patterns and can be projected to support decision making in examining the level of readiness of the wind tunnel test system. [ABSTRACT FROM AUTHOR]

The research purposes are: implementation of policies, strategies, and learning programs for Islamic Religious Education with the integration of the curriculum during the Covid 19 Pandemic at Madrasah Aliyah Negeri Insan Cendekia (MAN IC) Indonesia. Operational components of the integrated curriculum. The obstacles to implementing it The theory to answer the problem formulation refers to Duke and Canady's theory of the concept of policy. Strategy theory, Islamic Religious Education learning program with curriculum integration according to the Decree of the Minister of Religion Number 211 of 2011. This type of research is a mixing method that combines quantitative and qualitative. Data collection techniques combine phenomena and implement policies, strategies, and learning programs for Islamic Religious Education by integrating the curriculum during the Covid-19 Pandemic at Madrasah Aliyah Negeri (MAN) Insan Cendekia Indonesia. The instrument of data collection was through a questionnaire distributed to Islamic Religious Education teachers in 3 (three) State Madrasah Aliyah (MAN) Insan Cendekia Indonesia. Through google forms, interviews, observations, documentation. The results showed that: the implementation of policies, strategies, and learning programs for Islamic Religious Education with the integration of the curriculum during the Covid-19 Pandemic at Madrasah Aliyah Negeri Insan Cendekia (MAN IC) Indonesia, was 100% implemented through top management decisions. By considering the objectives, principles, regulations that guide madrasah through. The operational component of the curriculum that is integrated into implementation is very appropriate at above 86% through lesson materials, learning activities, methods, media /tools, resources, unified experiences, science integration, and evaluation. The latest theory in this study is that the components integrated with the curriculum are: stakeholders who philosophically must understand the application of virtual learning. The constraints of madrasah in implementing are each different, namely: limited Information of Technology (IT) facilities, no assistant students, conditions of the learning process that are not conducive, dishonesty of students, analysis of less critical students, so it is important to increase literacy and references, lack of dialogue between Islamic Religious Education teachers and the methodological realities of other disciplines, and have not been able to see opportunities for the challenges of the times. [ABSTRACT FROM AUTHOR]

Conservation is an early concept of preservation of goods or historical regions that grow in urban areas with historical value and scarcity that will be used as conservation areas. One of the historic buildings in the city of Medan is Warenhuis. The history of Warenhuis's cultural heritage was unforgettable as the times had to be further investigated about the feasibility of building warenhuis in conservation. Warenhuis, a building with history and becomes the image of the development of the city of Medan, needs to be conservation so that Warenhuis can be preserved and witnessed by the people today. The conservation at Warenhuis can see the historical history of the city's tradeimage. The method has a qualitative descriptive type that intends to understand research objects such as behavior, perceptions, motivation, actions, etc. From the results of the analysis based on the judgment of the Burra Charter, it can be concluded that the Warenhuis Building is a decent building for conservation where this building meets several elements of the assessment with maximum results. [ABSTRACT FROM AUTHOR]

Bacterial leaf blight is one of the main diseases in rice in Indonesia and Asian countries caused by the bacterium Xanthomonas oryzae pv. oryzae (Xoo). Xoo bacteria can cause crop failure so that it can cause economic losses. This study aims to analyze the grouping of pathotypes of Xanthomonas oryzae pv. oryzae isolates from North Sumatra using local differential rice plants. The research was carried out in several stages, namely isolation and characterization of Xoo and its inoculation on 5 local differential varieties (Kencana, PB5, Tetep, Kuntulan, and Jawa 14). The results of isolation and characterization of Xoo in rice plants were gram negative, catalase positive, positive oxidase, negative growth at 0.1% TZC, positive growth on YDC medium, resistance to 0.001% Cu(NO3)2, negative starch hydrolysis, and growth in SPA medium showed yellow, round, smooth, convex, and slimy characters. The results of grouping the pathotypes of Xoo bacteria isolates from North Sumatra were grouped into pathotypes IV (70%), X (10%), XI (10%), and N (10%). Xoo isolates from North Sumatra tend to lead to malignant strains. The results of the study are expected to provide important information on the X. oryzae p.v oryzae pathotype in North Sumatra to be used in determining the development of future agricultural strategies. [ABSTRACT FROM AUTHOR]

Preliminary Study on Monitoring Radiation Release from Multipurpose Research Reactor GA Siwabessy at Serpong Nuclear Facility Area is performed in order to evaluate the use of Atmospheric Dispersion formula for predicting gamma radiation dose released from a certain nuclear facility to environment during normal operation. The release from reactor were recorded by four radiation monitoring stations available at the distance of 110 m, 135 m, 150 m and 544 m from MPS-GAS Serpong. The purpose of this study is to evaluate the how Gaussian Dispersion Model can describe the recorded gamma radiation coming from Multipurpose Reactor GA Siwabessy which are close to radiation monitoring stations for modelling purpose. The study is started by identifying the strength of source of Argon-41 and Iodine -131, identifying and differentiating measured gross gamma radiation dose rate during operation and shutdown recorded by each monitoring stations using student distribution test or t-test, regression model and compare the result with the Gaussian theoretical model. The study showed that Gaussian Dispersion Model must be modified for short distance prediction by considering building effect surround the nuclear facility. [ABSTRACT FROM AUTHOR]

Learning strategies have a significant share in the learning process. Choosing the right learning strategy can foster students' interest in participating in learning activities. The design used in this research is descriptive with a cross sectional approach which was conducted from August to November 2019. The research was conducted at the Nursing Campus of the University of North Sumatra. The population was collected by collecting student data in accordance with the inclusion criteria, namely undergraduate study program students, still active in college, and willing to take part in research. The activeness of a student has a high positive correlation with learning outcomes 15. Based on the inclusion criteria, a population of 429 people was obtained. The determination of the number of samples is calculated using the Slovin formula. The sampling technique used in the study was random sampling, in which 207 people who were the sample were taken randomly by lot. The research was conducted by giving questionnaires, interviews, and observations. The results showed that there were methods used by the Faculty of Nursing, University of North Sumatra, namely Problem Based Learning (PBL) 20%, lectures 40%, Practicum 10%, and Lab Skills 30%. Research shows that the PBL learning method has the highest effectiveness compared to the other three learning methods used. This is because the learning method requires students to be active in learning and can improve learning outcomes in cognitive, affective and psychomotor aspects. where 207 people who became samples were taken randomly by lot. The research was conducted by giving questionnaires, interviews, and observations. The results showed that there were methods used by the Faculty of Nursing, University of North Sumatra, namely Problem Based Learning (PBL) 20%, lectures 40%, Practicum 10%, and Lab Skills 30%. Research shows that the PBL learning method has the highest effectiveness compared to the other three learning methods used. This is because the learning method requires students to be active in learning and can improve learning outcomes in cognitive, affective and psychomotor aspects. where 207 people who became samples were taken randomly by lot. The research was conducted by giving questionnaires, interviews, and observations. The results showed that there were methods used by the Faculty of Nursing, University of North Sumatra, namely Problem Based Learning (PBL) 20%, lectures 40%, Practicum 10%, and Lab Skills 30%. Research shows that the PBL learning method has the highest effectiveness compared to the other three learning methods used. This is because the learning method requires students to be active in learning and can improve learning outcomes in cognitive, affective and psychomotor aspects. namely Problem Based Learning (PBL) 20%, lecture 40%, Practicum 10%, and Lab Skills 30%. Research shows that the PBL learning method has the highest effectiveness compared to the other three learning methods used. This is because the learning method requires students to be active in learning and can improve learning outcomes in cognitive, affective and psychomotor aspects. namely Problem Based Learning (PBL) 20%, lecture 40%, Practicum 10%, and Lab Skills 30%. Research shows that the PBL learning method has the highest effectiveness compared to the other three learning methods used. This is because the learning method requires students to be active in learning and can improve learning outcomes in cognitive, affective and psychomotor aspects. [ABSTRACT FROM AUTHOR]

In the present study, we prepared the FeCrAlTiY-10 mass% MoSi2 coating on low carbon steel using the spark plasma sintering (SPS) technique. Its resistance against oxidation and corrosion was studied in air and atmosphere containing 20 mass% NaCl at 700°C for 8 cycles. The results show that a dense coating layer is composed by FeCr containing Al and MoSi2 phases. After high temperature oxidation test, a thin protective Al2O3layer was formed. While mix oxide scales composing of (Cr,Fe)2O3, Al2O3, and Fe3O4 were formed after high temperature corrosion test. Althought, the affected area after corrosion test was more severe than after oxidation test, the corroded sample somehow had a lower mass gain compared to oxidized sample after 8 cycles exposure. This could be related to the effect of chlorine ions and oxide spallation during cyclic corrosion test. [ABSTRACT FROM AUTHOR]

Flame spray technique with nitrogen pressure was used to deposit FeCrAlTiY-30 mass% CoNiCrAlY coating on the surface of low carbon steel. The resistance of the sample against oxidation and corrosion at high temperature was studied cyclically at 700°C for 8 times. The sample was rapidly heated in a furnace at 700°C for 20 hours and then cooled for 4 hours at room temperature. XRD and SEM-EDX were used to investigate the phase composition and morphologies of the coating before and after high temperature oxidation and corrosion test. For corrosion evaluation, the test samples was sprayed using 20 mass% NaCl solution. After the test, it was found that the flame sprayed FeCrAlTiY-30 mass% CoNiCrAlY coating with N2 pressure effectively enhances the resistance of carbon steel toward oxidation and corrosion at high temperature due to the formation of FeCr, Fe2O3,Al2O3, (Ni,Co)Cr2O4 and Al2O3, Fe2O3, Fe(Cr,Al)2O4,respectively. On the contrary, the coating was degraded more easily in 20 mass% NaCl containing atmosphere than in air atmosphere, suggesting that the corrosion attack is more severe than oxidation. [ABSTRACT FROM AUTHOR]

Industry 4.0 implementation faces crucial problem when applied in labor-intensive manufacturing industries, which are common industries in Indonesia. The problem is that it requires a well-connected and transparent data among production elements. The purpose of this study was to solve the aforementioned problem by building a cyber-physical workstation system as bridges between the production elements in real world with object models in virtual world. The system acts as a tools monitoring system for obtaining real-time information of actual tools utilization, especially for hand tools which are mostly used in labor-intensive manufacturing industries. The utilization of cyber-physical workstation system model may be the best method for determining the actual utilization of production tool with simple architecture, affordable and minimum negative impact. Workstation monitoring system transforms attendance data tools in the work area and start-finish operation time event into actual tool utilization information. The major contribution of this paper is that the implementation of industry 4.0 on labor-intensive manufacturing industry has become enabled by using cyber-physical workstation system. It was shown that the usage time of each tool on each production operation can be monitored. Furthermore, the estimation of the actual duration of each tool utilization can be calculated. The resulted data will be further utilized as primary data input for building smart tools model. [ABSTRACT FROM AUTHOR]

A study of heat transfer on forced convection heat transfer using Al2O3 -water nanofluids as the working fluid in a vertical hexagonal sub-channel has been conducted. At this time, considerable attention has been given to nanofluids as new materials for heat transfer fluids due to enhanced of properties and behavior. Nanofluids will support the current trend specifically in the application of cooling system. This experiment used Al2O3 -water nanofluids at constant nanofluids concentration 0.10 wt. % in weight percent. Three-dimensional numerical analysis is used in the optimization of the design of the test device in the vertical hexagonal sub-channel, while the experimental data obtained in experiments are used to determine the forced heat transfer coefficient from the heater to the cooling fluid. The results of this study have also been compared with the results of research using base-fluids as working fluids. The results showed that the average increase in nanofluids heat transfer coefficient was greater than 20% compared to the base-fluids or water heat transfer coefficient as coolant. [ABSTRACT FROM AUTHOR]

Nanofluids have great potential to replace conventional coolant such as water and ethylene glycol. The nanofluids may be prepared from the nanoparticles synthesized from local material. γ-Fe2O3 nanoparticles can be potentially economical for nanofluids. Herein, the γ-Fe2O3 nanoparticles were successfully synthesized via carbon reduction and precipitation methods from a local material of yarosite. XRD data revealed that the γ-Fe2O3 nanoparticles had been successfully synthesized from yarosite, possessing maghemite structure. The nanofluids were then produced from the prepared γ-Fe2O3 nanoparticles and water as the base fluid. According to TEM and BET analysis, the particle size and specific surface area of the nanoparticles were 13.3 nm and 166 m2/g, respectively. From zeta potential data, it was known that the optimum concentration of the citric acid (CA) dispersant was 15% of the nanoparticles mass. Critical Heat Flux (CHF) of the water-γ-Fe2O3 nanofluids was larger than that of water, and increased with nanoparticles concentration until certain optimum concentration. The largest CHF enhancement was 94% for γ-Fe2O3 concentration of 0.0133 vol%. The CHF data demonstrated that the nanofluids prepared in this work were effective and could be potentially applied for automotive coolant, metal forming fluid, and fluid for RVCS and ECCS in nuclear reactor. [ABSTRACT FROM AUTHOR]

Semiparametric regression contains two components, i.e. parametric and nonparametric component. Semiparametric regression model is represented by yti= μ(xti, zti)+εti where ?μ(x'ti,zti) =x'tiβ g(zti), and yti is response variable. It is assumed to have a linear relationship with the predictor variables x'ti=(x1/1,x2/2....xt/t). Random error εti i=1....n t=1....T is normally distributed with zero mean and variance σ² and g (zti) is a nonparametric component. The results of this study showed that the PLS approach on longitudinal semiparametric regression models obtain estimators... The result also show that bootstrap was valid on longitudinal semiparametric regression model with ... as nonparametric component estimator. [ABSTRACT FROM AUTHOR]

In metal forming, failure of coated tools often indicate problems related to sliding contact, fretting, and substrate plasticity. To date, failure prediction of tools subjected to sliding and fretting contact has been largely based on elastic analysis if not empirical. As an effort to understand the issue and specifically, to investigate the role of plasticity, a finite element-based analysis of plane strain contact of brittle coating is performed. The problem consists of cyclically loading a rounded-edge punch in normal and tangential directions to a coated substrate. The results are presented for the maximum principal stress in the coating indicative of brittle failure and the evolution of plastic deformation in the substrate. These quantities are analyzed as functions of substrate’s plasticity parameters, coating’s elastic modulus, friction, and loading parameters. A combined isotropic-kinematic hardening plasticity law is considered. The prediction of the tool’s service life based on the above failure conditions is also discussed. © 2004 American Institute of Physics [ABSTRACT FROM AUTHOR]