bluuebunny/crossref_metadata_2025_split huggingface dataset:
Designing Instructional Multimedia of Curved Three-Dimensional Shapes in Junior High Schools Through out Gorontalo Province
Authors: Bito N , Ismail S 
Published: March 2021

Abstract
Development of instructional technologies gives rise to high demand, including math learning, that can be attained by the involvement of information and communication technology through instructional multimedia. Instructional multimedia are presentation media that combine the whole media elements, such as text, audio, video, animation, and graph. An appropriate and innovative design of instructional multimedia will indubitably provide an effective learning process to students, which then later positively contributing to their learning outcomes. The objective of this study was to develop character-based instructional multimedia of curved three-dimensional shapes in the ninth grade of junior high schools throughout Gorontalo province. The development model referred to the 4-D Model (Define, Design, Develop and Disseminate) proposed by Thiagarajan, Semmel and Semmel. It was shown that the developed interactive multimedia of curved three-dimensional shapes were valid and feasible according to experts, as well as being practical and bettering students’ responses during the lesson. Additionally, learning implementation by employing the multimedia arrived at excellent criteria and could improve students’ activities and learning outcomes. Based on the observation result, their activities reached excellent criteria. Student learning outcomes also gave classical mastery data with excellent criteria. All in all, instructional multimedia being developed were valid, practical, and effective to apply in the math learning process in the ninth grade of junior high school
Methylene Blue and Methyl Orange Dyes Removal using Low-Cost Composite of Banana Peel-TiO2 Adsorbent
Authors: Anita S , Hanifah T A , Kartika G F , Yanti P H 
Published: March 2021

Abstract
Composite banana peel activated carbon-TiO2 is a photocatalyst used to degrade complex compound. In this research, peel of banana was activated using NaOH activator. The aims of this study was to compose biomass wastes (banana peels) with TiO2 catalyst using photocatalytic process to solve Methylene Blue and Methyl Orange dye waste problems. Sample were calcined at 300°C and activator concentration of NaOH varied (1:0; 1:1; 1:2; and 1:3) to obtain optimal results. The quality of activated carbon of banana peel was compared to SNI 06-3730-1995. There parameter measured were moisture content, ash content, adsorption of iodine, adsorption capacity of Methylene Blue and surface area of activated carbon. The results showed that the highest banana peel activated carbon compares to NaOH concentration of 1: 3 were 0.65%; 4.88%; 774.09 mg/g; 24.90 mg/g and 92.43 m2/g, respectively. It indicates that the optimal results are obtained in the preparation of activated carbon with 1:3 of activator composition. This activated carbon banana peel was combined with titanium dioxide P25. The composites were characterized by FTIR (Fourier Transform Infrared) and SEM (Scanning Electron Microscopy). FTIR spectrum showed that the absorption appeared in the region of Ti-O-C at wave number 1009 cm−1 and C=C at wave number 1620 cm−1. SEM showed that TiO2 spread on activated carbon surfaces. Based on analysis of Infrared presents the functional group of Ti-O and C=O of the composite. Morphology of the composite banana peel activated carbon-TiO2 showed that TiO2 spreads on active carbon surfaces. Based on analysis which have done showed that the composite activated carbon of banana peel-TiO2 formed. Optimum Methylene Blue and Methyl Orange degraded were 94.61% and 84.30%, respectively.
Analysis of The Learning Motivation of Students in Mathematics Education Online Learning, State University of Medan
Authors: Siregar N , Manurung S L 
Published: March 2021

Abstract
This study aims to describe the effect of implementing online learning during the Covid-19 pandemic on the learning motivation of students of mathematics education at the State University of Medan (UNIMED).This study is an ex post facto study involving 100 respondents who had attended online lectures at Unimed Mathematics Education during the Covid-19 pandemic. The research instrument used a questionnaire distributed via the Google Form link to measure student learning motivation towards online learning implementation. Analysis of the research data shows the regression equation for student learning motivation towards the implementation of bold learning is Y = 8,428 + 0,582X + 0,157. For t count in this research activity 0,529, it can be concluded that there is a positive influence on student motivation during the Covid-19 Pandemic. The value of R
2 = 0,279, as much as 27,9% indicates that the online learning system for Unimed mathematics education students affects learning motivation during the Covid-19 pandemic.
The Effectiveness of Problem Based Learning Model Through Providing Generic Science Skill in Organic Chemistry Reaction Subject
Authors: Dibyantini R E , Suyanti R D , Silaban R 
Published: March 2021

Abstract
Problem Based Learning is one of the teaching models that require students to be active, collaborative, student-centered, develop their problem-solving skills, and independent learning. This study was aimed at investigating the effectiveness of the problem-based learning model by providing generic chemistry skills (MPBM-PKGK) in organic chemistry reaction subjects as well as finding out students’ responses to the application of the developed model. The subject of this study was students of the chemistry education study program who took organic chemistry reaction subject. It was divided into two groups, one of them was the experimental group, taught by using a problem-based learning model through providing generic chemistry skills while the other was the control group, taught by using the direct instruction model. The data were obtained by using a pre-test, post-test, and questionnaire. The results showed that the increase in the generic chemistry abilities of students using MPBM-PKGK was higher than the direct instruction model, meaning that MPBM-PKGK was effectively used in improving mastery of the concept of organic chemical reactions. While the students’ responses on the application of MPBM-PKGK agreed and content to the developed model. It was shown from the attention aspect, adding concept, students’ involvement in the teaching-learning process, students’ thinking skills as well as expected that the MPBM-PKGK model can be used continually.
Analysis of Technology Acceptance of Enterprise Resource Planning (ERP) System in The Regional Office of PT. XYZ Throughout Indonesia
Authors: Billyan B F , Irawan M I 
Published: March 2021

Abstract
The companies that are starting to renew their system using the ERP-based systems, since 2000, the percentage of success reached 75%, and 25% is a failure. The ERP implements have several issues, such as the quality of human resources, not user-friendly system, incorrect format for data recording, system errors, unstable connections, a long-time process in the system, etc. Related to the issue, the company, which is a provider in the ERP SAP marketing, assists by local support to help end-users regarding the recording of selected divisions that use this system for daily work. It makes the researcher do the analysis related to what factors influence the ERP SAP acceptance technology with local support or implementor as a support for users of those companies in the regional office. In this study, to analyze the ERP system’s acceptance technology factors, we use the UTAUT2 method with two additional constructed variables, Trust and Learning Value, and for analyzing those hypotheses, we use the PLS-SEM method. The study results show that several variable factors significantly influence the technology acceptance of the ERP SAP in PT. XYZ, which is Hedonic Motivation, Price Value, and Habit. Local support associated with Effort Expectancy and Social Influence variables does not significantly influence the system’s acceptance. Researchers recommend that three factors should be considered more closely by the ERP system providers as a material reference that is related to the further strategy development and system development, such as improving the quality of human resources, etc.
Feasibility Study on the implementation of room control automation to realize smart green buildings
Authors: Arfiansyah T , Arifin A S 
Published: March 2021

Abstract
Currently, the level of carbon dioxide (CO2) emissions is at the highest level. One of the causes is the waste of electricity used. One of the most significant contributors to electrical energy consumption is in the High Rise Building (HRB) sector. This paper proposed an automation system in Heating, Ventilation, and Air Conditioning (HVAC) systems, lightings systems, and electronic systems, especially in the guest room area, where electrical energy consumption very much depends on the guest’s behavior. The purpose of the proposed system is to save energy and to realize smart green buildings. The result shows that the proposed system provided an average energy saving of 294.882 kWh per month. This system could save the cost of electricity bills by 21,38% each month. Those results confirmed that the implementation of a room control automation system is feasible to realize smart green buildings.
Detection of Infrasonic Frequency Loudspeaker Using Microwave Motion Sensor Module
Authors: Zaki D , Yudaningtyas E , Siwindarto P , Djuriatno W 
Published: March 2021

Abstract
In the last few decades, research on loudspeakers, especially at low frequencies and infrasound, has made significant developments. Among them, the loudspeaker is used as a low-frequency mechanical signal generator to simulate human arterial pulses. An electret condenser microphone (ECM), one of the alternative sensors that will be used to measure the arterial pulse which is simulated by the loudspeaker. Interestingly, neither the mechanical signal generator nor the sensor that will be used has data on infrasonic frequencies or it can be concluded that both of them have not been calibrated. This paper proposes that the infrasonic signal generated by a moving coil loudspeaker can be observed using a calibrated sensor, a microwave motion sensor. The main contribution of this study is to find the infrasonic loudspeaker frequency response data used in previous studies so that it can be used as a compensator to calibrate ECM as an alternative arterial pulse sensor. Microwave motion sensors have basic concepts such as the Doppler effect principle, which reads an object based on its displacement. Microwave motion sensors can observe the movement of the diaphragm cone of the loudspeaker requires several supporting instruments, including a signal conditioning circuit and an undisturbed environment. In the end, the microwave motion sensor can observe infrasonic acoustic waves and get a compensator value for the ECM as an alternative arterial pulse sensor.
Analysis K-Means Clustering to Predicting Student Graduation
Authors: Wati M , Rahmah W H , Novirasari N , Haviluddin  , Budiman E , Islamiyah  
Published: March 2021

Abstract
The prediction of students’ graduation outcomes has been an important field for higher education institutions because it provides planning for them to develop and expand any strategic programs that can help to improve student academics performance. Data mining techniques can cluster student academics performance in predicting student graduation. The aim of this study is to analysis the performance of data mining techniques for predicting students’ graduation using the K-Means clustering algorithm. The data pre-processing used for data cleaning, and data reducing using Principle Component Analysis to determine any variables that affect the graduation time. This algorithm processes datasets of student academics performance numbering 241 students with 16 variables. Based on the clustering using K-means, the highest accuracy rate is 78.42% in the 3-cluster model and the smallest accuracy rate is 16.60% in the 4-cluster model. The influential variable in predicting student graduation based on the value of the loading factor is the GPA total of the 1st to 6th semester.
Applications of marine collagens in bone tissue engineering
Authors: Lin Zhidong , Tao Yu , Huang Yue , Xu Tao , Niu Wei 
Published: March 2021

Abstract
For decades, collagen has been among the most widely used biomaterials with several biomedical applications. Recently, researchers have shown a keen interest in collagen obtained from marine sources because of its biocompatibility, biodegradability, ease of extractability, safety, low immunogenicity, and low production costs. A wide variety of marine collagen-based scaffolds have been developed for bone tissue engineering, and these scaffolds display excellent biological effects. This review aims to provide an overview of the biological effects of marine collagen in bone engineering, such as promoting osteogenesis and collagen synthesis, inhibiting inflammation, inducing the differentiation of cartilage, and improving bone mineral density. Marine collagen holds great promise as a biomaterial in bone tissue engineering.
Coastal Erosion Management by Implementing Concept of Building with Nature (BwN) in Demak Regency, Central Java, Indonesia
Authors: Bumi I S , Widyaningtias  , Adityawan M B 
Published: March 2021

Abstract
Coastal erosion that occurring in the north coast of Java, led to significant coastline erosion. One of the areas that run into the coastline erosion is Demak Regency. To overcome the problem, the concept of Building with Nature (BwN) is proposed. This concept uses the media from nature to reduce the wave energy and being sediment trap. BwN has applied in Demak Regency, exactly in Sayung village since 2013. According to the evaluation, the BwN was able to capture sediment of 0.4 cm/year. The amount of sediment is expected to be increased by adding the number of BwN and change the pattern of BwN. To determine the amount of increased sediment, a model using the DELFT3D software is utilized. The data used in the model is based on field measurement data in 2016. BwN in the model is defined as thin dam. The results show that the average amount of sediment around BwN after adding two BwN in front of the existing BwN increase to 0,6 cm/year. This solution is expected to help the faster shoreline restoration in Demak coast.
Study of the effect on the addition of anti-slamming bulbous bow to total resistance in tugging supply vessel using CFD
Authors: Kiryanto  , Chrismianto Deddy , Hadi Eko Sasmito , Firdhaus Ahmad 
Published: March 2021

Abstract
Anti-Slamming Bulbous Bow (ASB) is a bulbous bow that has been modified according to the Anti-Slamming principle. For waters that have varying wave heights, for example, in the East Nusa Tenggara region where waters meet the criteria for the application of anti-slamming technology and are related to the existence of several offshore buildings and the use of tugging supply vessels (AHTS) for the benefit of the region. This research was conducted to determine the effect of installing anti-slamming bulbous bow and Anti-slamming height on the total resistance of the ship using numerical methods with the help of CFD software. The method used is to vary the height of anti-slamming and the type of bulbous bow on the bow of the ship. Ship modeling is carried out with CAD Software, and while the obstacle analysis uses CFD Tdyn software. Based on the analysis that has been done, the effect of the anti-slamming bulbous bow on the total resistance value of the ship without an anti-slamming bulbous bow is reduced by 3.75%. The ship model, with the use of the anti-slamming bulbous bow, which has the smallest total resistance, is the ship with the form of anti-slimming bulbous bow type Delta (Δ - Type).
The Combination of Reliability and Predictive Tools to Determine Ship Engine Performance based on Condition Monitoring
Authors: Zaman M B , Siswantoro N , Priyanta D , Pitana T , Prastowo H , Semin  , Busse W 
Published: March 2021

Abstract
The evolution of maintenance has experienced developments in the fourth generation since the beginning of 2000 to the present. The fourth generation is the latest generation that focuses on condition based maintenance, condition monitoring and failure eliminations. The maintenance strategy in the fourth generation aims to reduce the failure rate of an equipment by reducing the probability, based on preventive and predictive approaches. In this research, a maintenance approach was carried out by predicting the results of condition monitoring on ship engine to ensure performance. The concept developed is to use a combination of reliability tools for criticality assessment and predictive tools to determine diagnostic assessments. Reliability tool for criticality assessment is the Failure Mode and Effect Criticality Analysis (FMECA) based on the fuzzy logic approach. FMECA’s bottom-up approach is intended to explore failure modes that provide potential failure in the main engine system. The fuzzy logic theory added to FMECA accommodates uncertainty due to obscure information as well as subjective preference elements that are used in the assessment of failure modes. The predictive assessment process uses the Multilayer Perceptron (MLP) approach using the Artificial Neural Network (ANN) method. ANN has advantages for self-learning, adaptivity, fault tolerance, nonlinearity, and advancement in input to an output mapping. The results of the current diagnostic assessment indicate the condition of the main engine is still normal. However, the trending of exhaust gas temperature prediction shows an increase, combustion and compression pressure which shows a decrease need to be prepared for determining the inspection/survey schedule. In this research, predictive assessment using an Artificial Neural Network based on Multilayer Perceptron (MLP) has been validated with an error of less than 5%.
Evaluation of the Sediment Trap Structure Performance in the Saddang Irrigation
Authors: Adhi R A , Ontowirjo B 
Published: March 2021

Abstract
Irrigation canals require desilting basin to reduce sediment deposits in the main irrigation canals. The capacity of the Saddang River Irrigation Canal will be increased by 30% to accommodate long-term irrigation discharge needs. To optimize the ability of the desilting basin to trap suspended sediments, an evaluation was carried out using the 2-D finite-volume numerical method for hydrodynamic and sediment transport models. It solves the 2-D dynamic wave equations (the standard depth-averaged St.Venant equations) that are mainly used for river simulation. In addition, the diffusive wave solver is used for watershed runoff simulation and river simulation. The Community Edition SRH-2D model uses a flexible mesh that may contain arbitrarily quadrilateral and triangular cells. A hybrid mesh may achieve the best compromise between solution accuracy and computing demand. The SRH-2D Model solved variables include water surface elevation, water depth, depth averaged velocity, Froude number, and bed shear stress. Sediment Transport Model solved variables include sediment concentration, erosion and deposition, bed elevation, sediment transport rates, bed material D50 size, and bed material gradations. The optimization of the model is useful for improving the lining channel, flushing time period and the performance of the sediment trap.
Safety Case Development For Risk Management Of Offshore Pipeline
Authors: Silvianita  , Fahreza Inzaghi M , Rosyid Daniel M. , Dhanistha Wimala L. 
Published: March 2021

Abstract
Offshore pipeline is an indispensable component that plays a huge role in the distribution of hydrocarbon products. Thus, it is necessary to prevent any kind of incidents that may bring harm to the offshore pipeline system. Therefore, this paper is intended to develop the structure of Safety Case Document which provides preventions and mitigations actions and formulate risk management approach for offshore pipeline. Offshore pipeline that was specifically being used as a data in this project is located at Northeast of Java Sea and possesses 1 km of length. This pipeline has sustain from pipeline leakage, therefore this paper will identify the risk assessment for pipeline damage.. The methods that was being involved in this project are as follows; HAZID to identify the cause of the failure of the pipeline and Fuzzy FMEA to determine the Risk Priority Number in order to find out the priority of each failure cause. HAZID also useful to provide the necessary prevention and mitigation actions in accordance to each cause and subsequently being structured as a Safety Case Document.
CFD Modelling of Soot Formation and Entrainment Processes in Diesel Engine Combustion of Soy, Palm and Coconut Methyl Esters
Authors: Tan S M , Ng H K , Gan S 
Published: March 2021

Abstract
The aim of this work is to employ computational fluid dynamics (CFD) modelling to elucidate the soot formation and entrainment processes when diesel as well as soy, palm and coconut methyl esters (biodiesel) are used in a light-duty diesel engine under varying operating conditions. ANSYS FLUENT 13, which is linked to a chemical kinetic model via CHEMKIN-CFD, a plug-in chemistry solver, is utilised. The soot entrainment focuses on thermophoretic soot deposition on the cylinder liner and soot transport into the crevice region via blowby. During the closed cycle combustion process, the mass of soot deposited on liner via thermophoresis is more significant than that transported into the crevice region through blowby, representing at least 95% of the total soot entrained. The percentage of entrained soot from the net amount of exhaust soot is dependent on the methyl ester type. Diesel results in the maximum soot entrainment with the largest averaged diameter while coconut methyl esters with short hydrocarbon chain length produces the smallest amount and size of entrained soot. Different saturation levels give rise to different soot entrainment processes under varying operating conditions. Overall, this work provides detailed insights into the main in-cylinder processes controlling soot entrainment for biodiesels.
Influence of Different Catalysts on Coal Char-CO2 Gasification
Authors: Zhang G , Suo X L , Sheng J G , Tan X 
Published: March 2021

Abstract
The influence of catalyst Fe(NO3)3, CaO and composite catalysts on the thermostatic gasification process of char-CO2 at atmospheric pressure were studied in this paper. The experimental conclusions Indicate that the catalytic effect of CaO is stronger than that of Fe(NO3)3 at relatively low gasification temperatures. As the gasification temperature increases, the catalytic gap between the two catalysts decreases. The catalytic effect of the composite catalyst at lower gasification temperatures is between the single component catalysts CaO and Fe(NO3)3. When the gasification temperature exceeds 850°C, the promoting effect of the composite catalyst is better than that of the to single-component catalysts. After adding composite catalyst, the time of the coal char is shorter by 103 minutes than the original char, which is shortened by 18 minutes compared with the two single-component catalysts, and the gasification temperature is lowered by 100°C, lower than 120°C of one-component CaO, and higher than 90°C of Fe(NO3)3.