bluuebunny/crossref_metadata_2025 huggingface dataset:
Automatic Chinese Text Summarization for Emergency Domain
Authors: Liu Mingshuai , Wang Zhongju , Wang Long
Published: February 2021

With the rapid development of the global economy, natural disasters and emergencies frequently occur. A large amount of disaster accident data and emergency case handling measures on the Internet can be used to provide technical reference and auxiliary decision-making when the various social emergency incident occurs. This study establishes an accurate Chinese text automatic short summarization model to automatically obtain summary information from accident cases. In the proposed model, Generative Pre-Training 2.0 (GPT2), which is excellent in generating tasks, is employed as the basic network structure. Adabound algorithm is used to optimize the model so that the model is not disturbed by extreme learning rates, and it converges to the global minimum at the end of training. It solves the problem that the Adam optimization algorithm causes the model to converge to the local minimum due to the extreme learning rate. Meanwhile, Jaya algorithm is utilized to optimize the hyperparameters of the Adabound for a good performance. Experimental results demonstrated that the proposed method has a significant improvement in terms of Recall-Oriented Understudy for Gisting Evaluation (ROUGE).
Design and control algorithm of dual switch forward DC/DC converter with DSP digital control
Authors: Jia-liang Li , Bo Zhu , Ming-yu Cheng , Yuan Li , Ming-liang Wang
Published: February 2021

On the basis of DSP digital signal processing chip TMS320F2812 function as the main control chip of power supply, this paper proposes a dual switch forward topology with RCC converter as auxiliary power supply,the bootstrap drive chip IR2110 as power drive circuit, a dual closed loop control strategy with voltage outer loop and current inner loop, and PID control algorithm using integral separation together with dead zone control. The experimental result show that the power supply structure is easy to operate, and the corresponding control strategy and algorithm effectively improve the stability of the power supply output voltage and the rapidness of the response of the system.
Multi-sensor data fusion algorithm based on the improved weighting factor
Authors: Yu Yongjin , Liu Xiaoqing , Xu Chuannuo , Cheng Xuezhen
Published: February 2021

Aiming at the decrease of the accuracy of fusion data caused by the abnormal value and noise interference in the multi-sensor observations, this paper proposes a multi-sensor data fusion algorithm based on improved weighting factors. Firstly, the Dixon criterion is used to eliminate outliers in observations to avoid data containing gross errors. Then the Kalman filter algorithm is used to effectively reduce the noise impact caused by various reasons and provides the optimal data for weighted data fusion. Finally, an improved weighted fusion algorithm is used to comprehensively consider the nature of the sensor and the influence of various factors in the measurement process to obtain the best fusion data. The simulation analysis of the soil humidity in the greenhouse shows that the error of the multi-sensor data fusion algorithm based on the improved weighting factor is maintained at 0.04%-0.18%. Compared with the adaptive weighted fusion algorithm, the error of this algorithm is reduced by 0.12%, which verifies the algorithm’s effectiveness.
Predictive torque control of SMPMSM drive system based on extended control set and double gradient descent method
Authors: Wang Qian , Li Hongmei , Yang Liguo , Wang Xianling , Ye Wanjia
Published: February 2021

Model predictive torque control (MPTC) has become an effective control method for the permanent magnet synchronous machine (PMSM) drive system in recent years. However, large torque and flux ripples due to the limited numbers of inverter voltage vector deteriorate the steady-state performance. In this paper, a novel model predictive torque control based on extended control set (ECS-MPTC) is proposed. First, an innovative extended control set is generated by the proposed partition method of quasi longitude and latitude lines, in which, many virtual voltage vectors are generated. Then, based on the characteristic of cost function without weighting factor, the optimal inverter voltage vector can be selected quickly by using the double gradient descent methods, and the invalid enumeration can be avoided. Thus, the computation burden can be kept in a low level. Finally, the simulation results of conventional MPTC and proposed ECS-MPTC validate that the proposed control can achieve excellent steady-state performance of PMSM drive system and low computation burden simultaneously.
Research on automatic detection system of encoder accuracy based on PID algorithm
Authors: Hou Han , Cao Guohua , Ding Hongchang , Zhao Changfu , Wang Aijia
Published: February 2021

After the encoder completes the installation and adjustment work, its accuracy needs to be checked again to confirm whether it meets the acceptance conditions. This process is usually manually operated by inspectors, and the inspection efficiency is low and there are certain manual errors. In order to improve this situation, an encoder automatic precision inspection system based on PID algorithm is designed. In this article, the working principle and structure of the detection platform are introduced in the first part, and then designs the corresponding detection software and operation interface according to its working characteristics. Finally, the platform was tested in combination with the actual detection products, and the encoder signal acquisition results were given, which further verified the accuracy and reliability of the detection device. The results showed that the accuracy detection platform can accurately and conveniently realize the error detection of the encoder’s function, and to a certain extent overcome the detection error caused by the drift of the photoelectric autocollimator during the detection process.
K-modes Algorithm Based on Rough Set and Information Entropy
Authors: Xingyu Gong , Ke Cao , Pengtao Jia , Shangfu Gong
Published: February 2021

The traditional K-modes algorithm is susceptible to interference of redundant attributes, and only adopts the 0-1 matching method to define the distance between attribute values of each two objects, without fully considering the influence of each classify attribute on clustering result. In order to overcome these shortcomings, this paper proposes improved K-modes clustering algorithm based on rough set and information entropy. Aiming at a large number of redundant attributes in the clustering data, this paper firstly utilizes attribute reduction algorithm of rough set to eliminate redundant attributes and determine the importance of each attribute, then combines information gain to determine the weight of each attribute and finally makes performance tests of the traditional algorithm and the improved algorithm on five data sets of UCI machine learning library, such as Soybean-Small and Zoo. The experimental results show that the clustering efficiency and accuracy of improved algorithm is higher than that of traditional algorithm, and the performance of improved algorithm is better.
Identifications of Polyphenols and α-Amylase Inhibitory Activity of Multi herbal Formulation: Cocoa Beans (Theobroma cocoa), Buni (Antidesma bunius L. Spreng) and Cinnamons (Cinnamomum cassia)
Authors: Yusuf Muhammad , Pirman  , Nur Fitriani UA , Amri Ibrahim , Juwita A Ita
Published: February 2021

Chemical compounds from cocoa, buni, and cinnamons are expected to inhibit the activity of the enzyme α-amylase, α-glucosidase, and proanthocyanidin as mimetic insulin. Cinnamic acid may inhibit the enzyme activity of HMG-CoA reductase, so that provides benefits for people with diabetes mellitus because it can stimulate pancreatic cells to produce insulin. The objective of this study was to evaluate polyphenols and a-amylase inhibitory activity of a multiherbal formulation. The multiherbal extract prepares with aqueous, acetone, and ethanol. Total phenolic content was found to be 236.28 mg of GAE/100 g (cacao fat extract), 217.94 mg of GAE/100 g (cacao free fat extract), 159.61 mg of GAE/100 g (cinnamons extract), and 181 mg of GAE/100 g (buni extract). α-amylase inhibitory activity found to be 88.74 ppm (cacao extract), 85.32 ppm (cinnamons extract), 83,49 ppm (buni extract), and 13.07 ppm (acarbose). All compounds revealed inhibition potential with IC50 when compared to the standard acarbose.
Augmented reality application: What are the constraints and perceptions of the students during the covid 19 pendemic’s 3D geometry learning process?
Authors: Sudirman  , Yaniawati Poppy , Mellawaty  , Indrawan Rully
Published: February 2021

The Covid 19 epidemic has altered the interplay of the classroom learning process. To facilitate the learning process of 3D geometry, secondary school teachers adopt several technology items. Augmented reality technology is one of those technological goods. This study therefore aims to explain the constraints and perceptions of secondary school students during the COVID-19 pandemic, during the 3D geometry learning process. This study used a qualitative research design descriptive of it. The number of participants to this study was five, namely 3 male students and two female students. Techniques for collecting data using sheets of observations and interviews. Although data analysis by Miles and Huberman [1] adopts data analysis, which consists of data selection, data reduction, data presentation and conclusions or verification processes. Study results show that there are still many challenges faced during the learning process using augmented reality technologies, namely: (a) Constraints when downloading the program on the cellphones of the instructor and the pupil. (b) Marker constraints pertaining to AR identification. (c) Constraints on the student’s smartphone requirements. (d) Limit and network restrictions for accessing the Resources section. (e) Students found too many constraints on appraisal questions on the test checklist. While several challenges do remain, the majority of the students have a good understanding of the learning experience using augmented reality technologies.
Fountains Height Measurement Accuracy With Mamdani Fuzzy Inference System Algorithm
Authors: Devita Retno , Zain Ruri Hartika , Ipriadi
Published: February 2021

Fountains can be found in gardens or offices. The fountain has several patterns for each activation. The pattern height produced by the fountain greatly affects the beauty of a garden. The purpose of this research is to measure the height of the fountain accurately using the Mamdani Fuzzy Inference System (FIS) method. The input of this research is voltage and volume with the output in the form of the height of the fountain. The output produced in the research is a prototype. The results obtained in this study are in accordance with the tests carried out in the field with three tests with the results of defuzzification or confirmation. The height level of the fountains with a value of 34.6 for a voltage of 10 V and a volume of 20 is included in the MEDIUM category.
Decision Support System Using Fuzzy Logic Method of Tahani Model for Student Selection
Authors: Rizaldi  , Anggraeni Dewi , Syah Arridha Zikra , Kholiq Abdul , Agus Raja Tama Andri
Published: February 2021

Tahani model of fuzzy database is one of the methods used for the making decision process. On this occasion, the researcher used the fuzzy database tahani model to build a DSS for the selection of new candidate students at the SMP Taman Siswa Kisaran. SMP is junior high school. This system was built to recommend to principals about new candidate students who are eligible to be accepted. Some of the main variables that form the basis of calculation, namely the average elementary school diploma, including Mathematic score, Indonesian Language score, and Pancasila Education score. The Other variables are Academic Test score and Religious Education Test score. The result of the system recommendations is based on the value of membership and fire strength from the calculation process in the system. To ensure the feasibility of the system, testing the result of the system calculations and comparing them with the results of calculations manually. If the result of the system calculation is the same as the result of the manual calculation, then the decision support system for the selection of new candidate students is feasible to be applied at the SMP Taman Siswa Kisaran.
Analysis of Data Mining in the Group of Water Pollution Areas using the K-Means Method in Indonesia
Authors: Jatnika Hendra , Huda Miftahul , Amelia Ria Rizki , Manuhutu Melda Agnes , Windarto Agus Perdana , Sumantrie Pipin , Waluyo Ari
Published: February 2021

Water is an essential requirement in human life. However, pollution causes the water quality to become poor, making it unsuitable for use. Pollution comes from rubbish and waste dumped into rivers, lakes and other water areas. This study aims to carry out a model for mapping areas contaminated with water pollution using artificial intelligence techniques. The data sample comes from the Indonesian Central Statistics Agency (abbreviated as BPS) which consists of 34 records. The data used are provinces in Indonesia that are polluted by water pollution in rural areas. The intelligence technique used is data mining using the k-means method. The variable used is the number of polluted villages by province. The mapping label used is the high cluster (K1) for water pollution and the low cluster (K2) for water pollution. Analysis using Rapid Miner software. The results showed that 4 provinces were included in the high cluster (K1) category, namely North Sumatra, West Java, Central Java, East Java. Testing of cluster results was carried out using Davies Bouldin (k = 2) with a value of 0.328, which means that the cluster results created were optimal. The results of the analysis are expected to be input for the government in focusing on areas polluted with water pollution.
QoS Analysis on Campus Building Network Infrastructure with WDS Technique using PCQ Method
Authors: Ramady Givy Devira , Rahmatullah Griffani Megiyanto , Manullang Martin Clinton Tosima , Zulkarnain Andry Fajar , Sufyani Rosyidin , Hidayat Rahmad
Published: February 2021

The use of internet facilities to support mobility needs in the campus environment such as browsing, downloading and uploading data is an unavoidable condition. Implementation of bandwidth management on campus networks which acts as a bandwidth divider so that it is evenly distributed by adapting the PCQ method to the proxy router device and Wireless Distribution System (WDS) technique so that the signal coverage becomes wider. Analysis conducted on Quality of Service (QoS) in the form of measurements of the quality of internet bandwidth through testing parameters download, upload, throughput, delay, jitter, and packet loss. The test was conducted at the hotspot which is located at several points of the STTM campus social facilities. Based on test results, obtained data before the application of the PCQ method in the form of throughput of 32.76%, jitter of 94.36 ms, delay of 46.83 ms, and packet loss of 20.74%. After the PCQ method is applied there is a change in the results of the parameter test value, the throughput is 41.53%, jitter is 52.48 ms, the delay is 33.62 ms, and the packet loss is 12.57%.
COVID-19 Cases and Deaths in Southeast Asia Clustering using K-Means Algorithm
Authors: Hutagalung Juniar , Ginantra Ni Luh Wiwik Sri Rahayu , Bhawika Gita Widi , Parwita Wayan Gede Suka , Wanto Anjar , Panjaitan Pawer Darasa
Published: February 2021

Covid-19 is an infectious illness caused by a newly identified form of coronavirus. This is a new virus and illness that was previously unknown before the December 2019 outbreak in Wuhan, China. The number of confirmed cases of Covid-19 and the number of deaths due to this virus in Southeast Asia are increasing and quite alarming. Therefore this study will discuss the grouping of Cases and Deaths of COVID-19 in Southeast Asia. The method used is the K-Means Clustering Data Mining. By using this method the data that has been obtained can be grouped into several clusters, where K-Means Clustering Process is applied using RapidMiner tools. Data used are Country statistics, Area of recorded laboratory-confirmed cases of COVID-19, and April 2020 deaths from WHO (World Health Organization). Data is divided into 3 clusters: high (C1), medium (C2) and low (C3). The results obtained are that there are four countries with a high level cluster (C1), one country with a moderate level cluster (C2), and 6 countries with a low level cluster (C3). This can be an input for each country to increase awareness of the transmission of Covid-19.
Sieve Diagram For Data Exploration of Instagram Usage Habit Obtained From Indonesia Questioner’s Sample
Authors: Hidayatullah Reko Syarif , Cholifah Wahyu Nur , Ambarsari Erlin Windia , Kustian Nunu , Julaeha Siti
Published: February 2021

Exploration data using a scatter plot made it more accessible when the datasets correlated. However, the case of Instagram Usage Habit in the previous study was hard to follow. The problem was that many datasets were not specific. Therefore, it difficult to classification for a Decision Tree. The other option of exploration data used the sieve diagram. The sieve diagram summarizes the relationship between the categorical variables using frequencies—the purpose of this study to understand the data and found out what wrong in the datasets. Based on the result of the sieve diagram in the study, the main problem found out in the age of the respondent on attributes. We deduce that several attributes had not characteristic unique for the habit of using Instagram because the attributes based on age have a similar pattern. We suggest that the questions for respondents need to be improved, such as Tiered questions. Therefore, The classification of decision trees would become more precise in the subsequent studies.
Implementation of TOPSIS Algorithm for Selection of Prominent Student Class
Authors: Siregar Victor Marudut Mulia , Sonang Sahat , Purba Arifin Tua , Sugara Heru , Siagian Nancy Florida
Published: February 2021

This study aims to provide the right solution in overcoming the problem of selection for prominent class students senior high school at SMAN 2 Pematangsiantar. The solution is to make a decision support system for the selection of prominent class XI IPA students in determining rankings. The method used is the TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) algorithm by using several criteria, namely: Mid Test Score, Final Exam Score, Extracurricular, Personality, and Attitude. The results of student data processing using the decision support system obtained weights of 1, 0.57188272655161, and 0.56259472567445 for rank 1 to rank 3. The implementation of this Decision Support System is beneficial and makes it easier for the school and the homeroom teacher to determine ranking for the selection of prominent class students.
Evaluating the effectiveness of information security based on the calculation of information entropy
Authors: Imanbayeva Akmaral , Tursynbek Yerlan , Syzdykova Rabiga , Mukhamedova Aigerim
Published: February 2021

Recently, the emergence and increasingly widespread of wireless networks has generated considerable interest in the information-theoretical approach to ensuring secure communications. The basic principle of information-theoretic security requires a combination of cryptographic methods with channel coding techniques that use the randomness of communication channels to ensure that messages sent cannot be intercepted or decrypted by a third party maliciously eavesdropping on the wireless medium. This paper discusses the information-entropy method for assessing security. We show that information-theoretical security means that any algorithm has a negligible probability of violating the security property. This is the same as unconditional security: it does not rely on any computational assumptions and is not limited to probabilistic violators.
Web-Based Online Study Plan Card Application Design
Authors: Lestari Ninik Sri , Ramadi Givy Devira , Mahardika Andrew Ghea , Herawati  , Herlina
Published: February 2021

Filling in the Study Plan Card (KRS) is a part that plays an important role in the academic system. The KRS filling system that has been running so far is still using the manual system. The development of a web-based online KRS application aims to replace the manual KRS system that is running so that later lecture activities can run smoothly. The system development method used is WebE, the system design method uses UML (unified modeling language), and the system test uses a black box system. This application is made with the programming language PHP and MySQL as a database. The results of this study indicate that the application of web-based online KRS applications can make it easier for students to fill in KRS compared to manual filling. This application can also assist the campus in managing data on the number of students who are active in the current semester. However, it is necessary to develop the system that has been made to become a better and perfect system, such as adding the KRS menu for short semesters so that this system makes it easier for students.
Floor Cleaning Robot Control System with Android Based Voice Command
Authors: Dalimunthe Ruri Ashari , Sena Maulana Dwi , Ramdhan William
Published: February 2021

To clean the floor, it can be done manually by using a floor mop along with floor cleaning fluid, but this will result in a floor that is already clean but the implementation time is long enough to interfere with the time of mothers who are office workers or manufacturers to help their husband’s income. . In the process of cleaning the floor, cleaning the floor can be done until the floor is clean so that the children are comfortable playing on the floor. The process of cleaning floors can be done in various ways, either manually or automatically. To clean the floor with a large floor size more quickly, the floor is cleaned with machine power. But the range and limitations of floor cleaning machines exist. So it is necessary to make a robot that works automatically without human assistance to do the cleaning so that the job is done quickly and the area limit of the cleaning results is greater. The system will work using pengerak technology remotely using bluetooth. This system aims to connect communication between wheeled robots and smartphones via Bluetooth communication media. From the test results, the author has successfully applied bluetooth technology to a wheeled robot by providing instructions such as forward, backward, turn right, turn left, and stop. This robot is used to clean floors quickly and practically so that it can be done by itself.
Venn Versus Relation Diagram Models For Database Relation in SQL Command Line
Authors: Kustian Nunu , Julaeha Siti , Parulian Dudi , Selvia Noni , Ambarsari Erlin Windia
Published: February 2021

The study was to analyze the difference between two diagrams, such as a Venn and relation diagram. Comparisons are made based on syntax in SQL Command-Line, primarily when used the Select condition clause. The sample command used for diagrams was inner join and where syntaxes. The diagrams will act as data representation for the Relational Database to display an outline of data relationship analysis. The results obtained that difference between them was significant. The Venn diagram was useful to evaluate how the attribute in the table is connected. The opposite, the relationship diagram, shown how the dataset was related to the tables. Therefore it recognizes the data that had to deceive. However, the more data related then, the more diagram is complex.
Developing Smart Campus Readiness Instrument Based on Pagliaro’s Smart Campus Model and Smart City Council’s Readiness Framework
Authors: Hidayat Wisnu , Hendayun Mokhamad , Sastrosubroto Ashwin Sasongko , Hidayat Rahmad , Haris Samun
Published: February 2021

Smart Campus can be defined as a concept that uses technology in campus life that consists of complex system interactions to support its’s user primary needs, push to achieve higher skill, and motivate problem-solving. Many campuses failed in an attempt to implement a smart campus because of unreadiness in the transformation to be a smart campus. To assess smart campus readiness, assessment is needed using the instrument of smart campus readiness model which evaluate supporting instrument of several aspects which is people and living, economy, energy, environment, and mobility. This smart campus readiness model is developed by combining the smart campus model of Pagliaro and the smart city readiness framework from the smart city council. A smart campus readiness instrument is developed to assess the supporting factor of smart campus indicator in people and living aspect. People and living is an aspect that is directly involved by the improvement of people’s living quality as the user of a smart campus. The instrument is tested for validity to make sure it is used correctly to assess smart campus readiness. The instrument is tested for reliability so it can be used as an assessment instrument of smart campus readiness in another place.
Current development of geopolymer cement with nanosilica and cellulose nanocrystals
Authors: Rahmawati Cut , Aprilia Sri , Saidi Taufiq , Aulia Teuku Budi
Published: February 2021

The cement industry has contributed large amounts of CO2 emissions and is responsible for the consumption of non-renewable natural resources. Geopolymer based cement has emerged as an environmentally friendly alternative to construction materials because it can be produced from industrial waste. Similar to ordinary portland cement, geopolymer cement can be strengthened with nanomaterials. This paper presents a review of nanosilica and cellulose nanocrystals in geopolymer cement. The addition of nanosilica can improve the properties of pozolan which is able to bind calcium-hydroxide so that the resistance to sulfate corrosion will also be better and nanosilica can also increase chemical reactions due to its surface area. Nano-sized cellulose-based particles can fill the smallest gaps in cement paste that cannot be treated by other micro or macro sized materials. This paper also presents an overview of the latest advances in the production of geopolymer cement that reinforced by nanosilica and cellulose nanocrystals as promising sustainable construction materials.
Loading Capacity Calculation of Integrated Precast Slab and Column Panel Using Cold-formed Steel
Authors: Muliawan Sutanto , Saggaff Anis , Mahmood Tahir , Saloma  , Firdaus Muhammad , Aminuddin KM
Published: February 2021

In the current study, the precast panel using a cold-formed steel section integrated with a cold-formed steel section integrated with self-compacting concrete was connected to the precast column panel. A T-shaped plate was used as a joint connector. Point loading applied onto the free-side of the slab panel. The material used to form a composite slab panel was C12524-type of cold-formed steel section as the reinforcements and it was integrated with self-compacting concrete. The connection in this research was divided into two-part. It was the side part and the middle part. The quality of cold-formed steel was fy = 530 MPa and fu = 590 MPa, the quality of the T-shaped plate connector grade was S355. The bolt diameter was variated with 10 mm, 12 mm, 14 mm, and 16 mm. The bolt quality was grade 8.8 (fy = 800 MPa). The calculation was the moment joint capacity of the connection and the stiffness. The moment joint capacity was increased within the bolt diameter increased. The side part of the specimen had the highest stiffness value; the bolts that could be used were M10, M12, and M14. To use the M16 bolt, configure the bolt spacing to be compatible with the standard BS EN 1-8:2005 [1].
Physical and Mechanical Properties of Self-Compacting Concrete (SCC) with Pineapple Leaf Fibre and Polypropylene
Authors: Hendrian Hanoora Sarah Anindita , Saloma  , Hanafiah  , Iqbal Maulid M. , Juliantina Ika
Published: February 2021

SCC is a high-performance concrete innovation that does not require vibrating equipment at the time of placement and compaction. The purpose of this study is analysis the ratio effect of fiber gain on physical and mechanical properties of SCC. This research uses fiber with fiber variation and content as additional material. The variation of fiber is pineapple leaf fiber and polypropylene with w/c is 0.3. The variation of fiber has length 12 mm with fiber content 0.2%, 0.3% and 0.4% of cement weight. Testing the physical properties or characteristics of SCC conducted in this study was slump flow, V-funnel and L-box. The testing of mechanical properties performed at the ages of 7 and 28 days for compressive and flexural strength. The addition of fiber showed the effect on physical and mechanical properties of SCC. Increasing the fiber content showed an increase in flexural strength accompanied by a decrease in the value of the diameter and time of fresh concrete. Maximum compressive strength was obtained with the use of 0.3% fiber content of 56.28 and 58.04 MPa for pineapple leaf fiber and polypropylene at the ages of 28 days. The 0.4% fiber content provided a maximum flexural strength of 7.76 and 8.16 MPa for pineapple leaf fiber and polypropylene at the ages of 28 days.
Optimization of Normalized Least Mean Square Algorithm of Smart Antenna Beamforming for Interference Mitigation
Authors: Hidayat Rahmad , Ramady Givy Devira , Lestari Ninik Sri , Mahardika Andrew Ghea , Fadriani Hetty
Published: February 2021

A smart antenna is an array of antennas with signal processing capabilities to transmit/receive information in an adaptive manner. This capability continues to be investigated to find the best adaptive algorithm for the desired beamforming capability. This paper aims to provide a study and analysis of the effect of the normalized least mean square (NLMS) algorithm on step size parameter settings which have an impact on the desired minimum square error (MSE) value and on the nulling beam radiation pattern arrangement of smart antennas in its role in mitigating interference. The simulation for beamformer performance for 1000 iterations was carried out using the Matlab tool on the additional white noise gaussian (AWGN) channel and the simulation parameters were changed to some step size values (μ) with the NLMS algorithm for 16 antenna elements. The effect of the value of the step size μ is seen in the iterations number that takes place before the minimum error noise is obtained, where the increase in the value of this step size reduces the iterations number required; at the same time further improving MSE levels. From the pattern of amplitude response after the beamforming process, the result is an escalation in the number of nulling to increase the distance between the spaced elements taken. The interference source is eliminated/closed by placing the nulls in the path of the interference source where the worst interference level is obtained around -90 dB when the smallest step size is taken.
Key Factors Affecting the Application of Building Information Management (BIM) in Management of High-Rise Building Construction Volume
Authors: Nguyen Thu Anh , Nguyen Phong Thanh , Do Sy Tien
Published: February 2021

Each construction work has its volume to be built. The use of traditional 2D methods in the breakdown and management of high-rise building construction volume has recently faced quite a few challenges; for instance, some projects construction has been prolonged or project-cost estimates are unsound due to duplicated or omitted calculation. This happens because the quantity surveyor (QS) manages the construction volume manually and relies on 2D design drawings for calculations. For this to be solved, the adoption of BIM technology in construction volume management should be an irresistible choice. BIM technology empowers the breakdown and management of work volume by automating the calculation of volumes and updating structure parameters as well as integrating design, progress and cost data into a single 3D model. This paper identifies the main factors affecting the application of BIM of high-rise building construction volume.
Flood Problem in Pekanbaru City Analysis Using GIS Approach
Authors: Kausarian Husnul , Suryadi Adi , Susilo  , Batara  , Sumantyo Josaphat Tetuko Sri
Published: February 2021

Pekanbaru City, Riau Province, Indonesia is located at coordinates 0°25′29.20″-0°39′15.22″ N and 101°20′43.39″- 101°34′25.60″ E. This research aims to study the common causes of flooding in Pekanbaru city which has a good geological condition. This study uses two types of data as primary and secondary data in the form of geomorphological, geological, rainfall and land use data with a geographic information system (GIS) analysis that can help spatial analysis to determine the level of flood disaster vulnerability with visual mapping models. The geomorphological analysis shows 2 types of geomorphological units found: low-land denudational and low-land structural with river flow pattern consisting of dendritic, sub-dendritic and parallel. Rainfall is quite high in 2018 with 2621.5 mm and caused flood-prone areas which are divided into 3 categories: Non vulnerable area (64.575%), Medium Vulnerable area (23,386%) and Vulnerable area (12,039%) from the entire of the research area.
Prototype Plate Bending Tool 1 mm Size in the Process of Making a Fence with an Anthropometric Approach in the Pasuruan Regency Welding Workshop
Authors: Asy’ari Subchan , Setyawan Leo Virgi , Wahid Abdul , Huda Miftahul , Misbah Achmad
Published: February 2021

In the process of bending the plate making fence workers have difficulty because the process of bending the plate is still done in a conventional way as well as the absence of bending tools that correspond to the posture of the welding workshop bending in Pasuruan district area. The condition of the workers that occurred in welding workshop bending in Pasuruan district at the time of bending the plate is considered not ergonomic, because with the position of the dimensions of the body is not suitable. Among them the head bends, the back bends, the legs bend, the hands bend and the production results are less maximal. In the design of this bending tool uses an anthropometric approach in determining the design of ergonomic bending tools and providing worker comfort, samples used from 20 workers. Based on research conducted in welding workshop in Pasuruan Regency area, researchers proposed the idea of an ergonomic bending tool designed based on an anthropometric approach. With this bending tool, it is expected to be a solution to get comfort and security while working so as not to interfere with the work process. The presence of this product is expected to encourage innovation in the field of designing work systems and ergonomics.
Electronic Equipment Control System for Households by using Android Based on IoT (Internet of Things)
Authors: Irawan Yuda , Wahyuni Refni
Published: February 2021

Utilization of internet based on technology is currently widely used as a means to facilitate control. This research utilizes internet technology and a microcontroller as an automatic control. The purpose of making this tool is to create a control system for household electronic appliances using an IoT based on android. This household electronic equipment control system can assist users in controlling household electronic devices such as: Lights, AC (Air Conditioner), Water Machines, Dispensers, Fans and others. Household electronic equipment control is made using a Wemos D1 microcontroller that is communicated with the internet network. The use of software is also done by installing the application on an android smartphone as a media control tool. The output from wemos d1 is then connected to the relay module which is then connected to the electronic device. The results of this study are in the form of a prototype of a household electronic equipment control device. Based on the test results it can be concluded that the household electronic equipment control system works in accordance with its function. Besides this tool is also very efficient because it can save time for controlling the device from a long distance though.
Reproving the basic principles of fuzzy sets for the decisions
Authors: Nasution Mahyuddin K M
Published: February 2021

Principles in the logic and the sets form the basis of many societal solutions that are present with physical as well as non-physical phenomena. Non-physical phenomena, for example present language variables that require the presence of the fuzzy logic and the fuzzy sets. Although specific verification of the rules used remains the same, the systematic verification for the fuzzy sets requires a strategy, including when implementing it into a computer program. The final problem has the answer to the change in the operator implemented in the program.
From recursive to dynamic: An algorithm for dealing with a problem
Authors: Nasution Mahyuddin K M , Tarigan J T , Jaya I
Published: February 2021

One of the problems in data science is related to data management, especially big data. It is indirectly related to algorithms in computer science. Therefore, the meeting between big data and the appropriate algorithm to produce a good output requires characterization and explanation. This paper reveals one of them, by involving the recursive and dynamic principles of programming, and by comparison giving choices as answers to problems.
Model of Truck Travel Timeliness Based on Driver Environment Psychology and Technical Factor: A Warp.PLS-SEM Approach
Authors: Yuniar D , Djakfar L , Wicaksono A , Efendi A
Published: February 2021

The importance of knowing the factors that influence coal transportation travel time based on driver behavior through work motivation. This research to assess the effect of presents inferential statistical data that determined the impact of environmental psychology and technical factors such as operational operational, social, health conditions, road quality, truck conditions, and weather on the travel timeliness with intervening work motivation. The data collected from 116 coal drivers using coal haul private roads in South Kalimantan, Indonesia. The research method uses qualitative and quantitative with structured drivers demographic and behavior questionnaires distributed to drivers. Structural equation modeling (SEM) using the Warp. PLS version 6 package to display the primary data results. Result-based research analysis on the hypothesis shows the more significant the road quality of coal haul drivers will increase work motivation and travel timeliness via work motivation. The higher the work motivation of coal haul drivers will increase travel timeliness performance. Based on the research equation that increasing operational working conditions, social conditions, road quality, truck conditions, weather conditions, and work motivation tend to increase travel timeliness. However, for health conditions negatively affect travel timeliness through work motivation, so the better health conditions will reduce travel timeliness.
Exploring the computational thinking of our pre-service mathematics teachers in prepare of lesson plan
Authors: Maharani Swasti , Nusantara Toto , As’ari Abdur Rahman , Qohar Abd
Published: February 2021

Computational thinking is indispensable to face the challenges of the 21st century, including education. Recently there are a lot of issues about the inclusion of computational thinking in the curriculum in Indonesia. Of course, this requires teachers in Indonesia to understand and apply computational thinking. One example of the application of computational thinking by the teacher is in preparing lesson plans. The purpose of this study is to analyze computational thinking in pre-service mathematics teachers in preparing lesson plans. Using qualitative methods, the subjects in this study were six pre-service mathematics teachers. The analysis is done by observing the steps taken by the subject in preparing lesson plans and conducting in-depth interviews to reveal the subject’s computational thinking. The results revealed that generalizations were less visible in the preparation of lesson plans for pre-service mathematics teachers. Some teachers are not coherent in preparing lesson plans, due to lack of understanding of the usefulness of the lesson plans that are prepared. The findings of this study are that CT pre-service teachers can be classified into four types, namely full CT, less full CT, unfull CT, and non-CT. Suggestions or recommendations for further research are analyzing teachers who lack understanding about the preparation of the lesson plan, what the obstacles are, and how the solutions for it.
Reflective Thinking of Mathematics Prospective Teachers’ for Problem Solving
Authors: Kholid Muhammad Noor , Telasih Sekar , Pradana Lingga Nico , Maharani Swasti
Published: February 2021

Reflective thinking is a thinking activity marked by the appearance of confusion and efforts to overcome it through planned steps based on knowledge, experience, and problem-solving skills. Reflective thinkers involve specific skills to identify problems, examine, evaluate, formulate problems, and draw conclusions. There are three categories in reflective thinking, including clarification reflective thinking, connective reflective thinking, and productive reflective thinking. The difference lies in the way individuals deal with confusion. This research describes the reflective thinking process of mathematics prospective teachers in solving analytical geometry in term of plane content based on aspects of technique, monitoring, insight, conceptualization. The qualitative research employed prospective mathematics teacher in Java - Indonesia as research subjects. Data collection taken by using test techniques, field notes, interviews, and audio-visual recordings. The results showed that subjects with the category of clarification reflective thinking, connective reflective thinking, and productive reflective thinking did all four aspects even though not all indicators of each aspect. Thus, a training is necessary to develop mathematics prospective teachers’ reflective thinking.
Comic Mathematics: A bridge to understanding the concept of social arithmetic for secondary school students
Authors: Rose Nedia , Gunadi Farid , Rosyadi  , Nandang  , Sudirman
Published: February 2021

Several studies have concentrated on the development of mathematics comics that are used to help students understand mathematical ideas. There are still a handful, however, who create mathematics comics at the secondary school level on social arithmetical content. Therefore, this study aims to describe the development process in designing mathematics comics and to analyze their effectiveness in helping students understand the concept of social arithmetic. The process of developing mathematical comics in this study uses the Brog and Gall[1] stage by modifying it into 8 development stages, including (1) initial observation; (2) plans; (3) making products; (4) product validation test; (5) limited scale test; (6) small size research revision; (7) field testing; (8) field performance review. In addition, the field test was carried out in one of the VIII Grade Secondary Schools in Indramayu Regency, Indonesia, for students. Based on the results of the analysis, the mathematics comic design that had been created was properly checked by media experts and mathematics teaching content design and students after observing the characteristics of the material. The feasibility test results achieved an average score of 3.61 for the very feasible category, while the feasibility test results tested by the students in the limited scale test obtained an average score of 4.65 for the very feasible category. In comparison, based on the field test, the mean score of the comprehension of social arithmetic content by secondary school students was 19.43 from the mean score of the successful criterion 15. Based on the effects of the parametric statistical test, tobs= 14.89 and tk= 1.94 were obtained. It can also be concluded that the use of comics focused on mathematics learning is successful in helping to teach concepts of social arithmetic.
Analysis of Reflective Student Analogy Reasoning in Solving Geometry Problems
Authors: Pradita Diyah Ayu Rizki , Maswar Maswar , Tohir Mohammad , Junaidi Junaidi , Hadiyansah Dwi Nur
Published: February 2021

In math subjects, students must involve an analogy reasoning in solving geometry problems. Where students were required to use the ability of reasoning analogy which one of them in solving the building of curved side space (BRSL) with a previously studied concept was a flat building. The ability of reasoning analogy was thought to be influenced by the characteristics of students, that was cognitive style. The purpose of this study was to analyze the reasoning of analogies that reflective students had in solving geometry problems. The study was conducted on 27 students with varying cognitive styles. The research began with a Matching Familiar Figure Test (MFFT) to classify reflective cognitive styles, followed by the Mathematical Ability Test (TKM). Then one reflective student was selected at high-skilled, one moderate-skilled student, and one low-skilled student. Furthermore, a BRSL analogy reasoning test (TPABRSL) was conducted and concluded with an interview. Research shows that High Reflective Students (SRT) can pass through all stages of analogy reasoning, namely encoding, inferring, mapping, and applying. Meanwhile, Moderate Reflective Students (SRS) and Low Reflective Students (SRR) were unable to pass all stages of analogy reasoning appropriately due to errors in the use of existing concepts and procedures.
Effectiveness of E-Learning Approach to Contextual Teaching and Learning in Improving Students ′Ability
Authors: Azhar Zulfi , Suparno  , Rukun Kasman , Jama Jalius , Effendi Hansi , Muskhir Mukhlidi
Published: February 2021

In this study using a contextual teaching and learning approach to STMIK Royal Kisaran students. Class sampling consisted of class SI-5C using the CTL approach and class SI-5F using CTL and e-learning as an experimental group, while the class SI-5D used a conventional approach as a control group. Using the pretest and posttest in the form of multiple choice as instruments in artificial intelligence lectures. From the results of the tests carried out there are significant differences in students who are taught using the CTL and E-learning approaches and conventional approaches. Taking approaches of CTL and CTL & E-Learning to students is more effective than conventional ones. However, CTL is better than using the approach of CTL & E-Learning.
Face to Face Learning vs Blended Learning vs Online Learning (Student Perception of Learning)
Authors: Nasution Awal Kurnia Putra , Surbakti Andika Hariyanto , Zakaria Rahmanita , Wahyuningsih Sungkawati Kardi , Daulay Leni Agustina
Published: February 2021

The coronavirus covid19 pandemic crisis in Indonesia has caused all lectures to be conducted online (online learning), so that all students have experienced face to face learning, blended learning, and online learning. The purpose of this study is to determine student perceptions of learning, which learning is most preferred by students between face to face learning, blended learning, and online learning. The research method used is descriptive research with a quantitative approach. Respondents were 100 students of Islamic Religious Education study programs. The results showed that face to face learning was the most preferred choice by students of the Islamic Religious Education study Program in IAIN Takengon, which is 78 students or at 78%, while a total of 20 students or 20% of the study was done in blended learning, and only 2 students or 2% who chose online learning.