bluuebunny/crossref_metadata_2025_split huggingface dataset:
Teacher’s Ability of English in MI Masyhudiyah Giri Kebomas Gresik: The Initial Method and Technology
Authors: Darul Ihsan Mas 
Published: July 2021

Abstract
This research is to know the teacher’s ability of English in MI Masyhudiyah Giri Kebomas Gresik: the initial method and technology. It is a qualitative research, through questionnaire, interview and secondary data, teachers’ lesson plan. The researcher uses the theory from (Corbett, 2003), (Brown, 2000) and (Nurwardani, 2018). The finding and discussion, first, the teacher ability of English to inculcate a native speaker like linguistic competence that the teachers never use English as language competence and communicative competence in the opening of teaching and learning process, the communicative competence and the ability to shows lips-reading skill to be imitated by the students and the ability to control the communication gap in the classroom because they do not able to use English, especially speaking skill in the whole teaching and learning process, and prefer to use Bahasa Indonesia. Second, the teachers’ ability of English there will be an interference of English from the first language that the teachers never use the English ability to communicate with children and make imitation pronunciation, combination pronunciation and fluency in English because they do not have the English ability. Third, the teacher ability of English connected to the technology to answer the society need and method that the teachers often and always use the teaching materials, prepare the lesson plan in the beginning semester and have the punctuality submission on lesson plan. The suggestions are to improve teacher ability of English to inculcate a native speaker like linguistic competence and the interference of English from the first language.
Approachability Evaluation of Virtual Reality Educational Game: The Case of Keepin
Authors: Maharani Putri Siregar Rafiqa , Sudarmilah Endah , Istiadi  
Published: July 2021

Abstract
Educational game technology now in advance phase where virtual reality is adapted into it. But when the educational game is not designed well, it become no point to use the game for education. Educational game not only could be played, but also should be understandable and entertainable at the same time, especially for new player (approachable). This study has purpose to evaluate the approachability of game KEEPIN a virtual reality educational game about waste handling that has been design using Game Approachability Principles, students participated in experiment consist of play the game session, simulation, and questionnaire. Total respondents are 35 students. The evaluation gave result 23 students find the game enjoyable by give positive experiences during empirical usability testing, they also success play the game at first attempt and can achieve the goal of the game. 5 students give negative experiences but success play the game at first attempt and can achieve the goal of the game. 7 students close the game without finished it. It shows that KEEPIN can be understandable oand quite approachable for new player.
Identification Of ECG Signal By Using Backpropagation Neural Network
Authors: Fahira Adriati Sarah , Setiawidayat Sabar , Rofii Faqih 
Published: July 2021

Abstract
The heart rhythm abnormalities can be detected by interpreting the ECG signal. However, there are many ECG pattern to be interpreted. Neural network is an artificial intelligent based technique which can identify pattern and one of the most used learning algorithm is backpropagation. The system is built to help interpretation process of ECG signal in heart rhythm abnormalities diagnosis. The data used in this study are obtained from MIT-BIH database. The data has been pre-processed to be used in the developed identification system of this study. The pre-processing are separating signal into one cycle and equalize the size of the signal by using zero padded technique. In this system, a good feature extraction of the ECG signal is needed to increase the accuracy. Discrete wavelet transform is used as a feature extraction and the level which carrying out is until ten. Each level results are used as an input to the identification system and derive different accuracy value. For this study, the accuracy is set to 80%. The results below 80% considered not eligible. The developed identification system of ECG signal achieves an average 91.3% accuracy using ECG signal’s feature calculated using Discrete Wavelet Transform technique in identifying normal and abnormal heart pulse.
An Adaptive Neuro-Fuzzy Inference System (ANFIS) Method for Recommending Employee Mutations in a Manufacturing Company
Authors: Solichin Achmad , Hana Saputri Fiqih 
Published: July 2021

AbstractThis research was conducted at Indonesia’s leading rigid plastic and packaging company with a strong market position. At present, the company has expanded and opened branches in 6 countries in the Southeast Asia region. The problem occurred by the company is the opening of a new branch in Vietnam that requires several employees. The company issued a policy to select employees from companies located in Indonesia to meet the needs of employees in Vietnam. This study aims to facilitate the HRD in selecting employees who will be transferred. The total number of employees who meet the initial criteria for mutation are 666 employees. In this study, a recommendation system was developed that applies the Adaptive Neuro-Fuzzy Inference System (ANFIS) method. This method is a combination of Fuzzy Logic Method and Artificial Neural Network (ANN) Method. The criteria used in this study are employee attendance, duration of work of employees, employee psychology, employee job class, and employee performance. The results of this study indicate that ANFIS modeling with the hybrid algorithm along with the generated bell membership function can produce the best level of accuracy with an average Root Mean Square Error (RMSE) of 0.095561. We also developed a decision support system that applies the ANFIS method. Based on the quality testing of the DSS using the Software Quality Assurance (SQA), it obtained a quality value of 82.6%, which is in the range of good grades.
Hardware in the Loop Simulation of Control Optimal of DC Motor Base on Modified Quantum-Behaved Particle Swarm Optimization
Authors: Hunaini Fachrudin , Ishak Elkana , Rofii Faqih , Setiawidayat Sabar , Istiadi  
Published: July 2021

Abstract
Proportional, Integral, Dervative (PID) controller is a simple and very reliable controller, but to determine the optimal control system parameters on the PID controller (Kp, Ki, and Kd) is not easy. This paper aims to determine the optimal parameters of the PID controller using Modified Quantum Behave Particle Swarm Optimization (MQPSO) to regulate the speed control of a DC motor. MQPSO is a method that has particle search behavior that is more detailed than its predecessor methods, namely Particle Swarm Optimization (PSO) and Quantum-Behaved Particle Swarm Optimization (QPSO). The test is done through Software In the Loop Simulation (SILS) by representing a DC motor in the transfer function, after the optimal control parameters are obtained then applied to the Hardware In the Loop Simulation (HILS) test using the actual DC motor. The test results show that the PID controller that has been optimized using MQPSO results in achieving DC motor response under steady conditions and is faster than the PID controller that is optimized using Ziegler-Nichols (ZN), PSO and QPSO. The completion time obtained by MQPSO is 41.0201 ms, which is also faster than using QPSO 42.8276 ms, PSO 43.7008 ms and ZN 61.8571ms.
Autonomous Groups Particles Swarms Optimisation (AGPSO) to Optimise the Fuzzy Membership Function in the Automatic Watering Plant Case Study
Authors: Nugroho Fresy , Faisal Muhammad , Hunaini Fachrudin 
Published: July 2021

Abstract
There is still a challenge for efficient watering, considering the exact time and exact watering intervals are unknown. The advances in fuzzy technology and microcontroller technology offer valuable solutions. By using this technology, automatic watering plant based on Humidity and Temperature sensor. However, the application of fuzzy technology requires the optimal determination of membership function. The optimal membership function previously developed using the genetic algorithm. Since the genetic algorithm is time-consuming, many researchers develop optimal membership function using Particles Swarm Optimisation. The modified Particles Swarm Optimisation provides a better solution. Eventually, Autonomous Groups Particles Swarm Optimisation invention offers an optimal solution to search for several mathematical problems. The basic concept of Autonomous Groups Particles Swarm Optimisation algorithm influenced by individuals dissimilarity in bugs swarming or bird flocking. In typical colonies, each insect or bird is not similar in terms of perception and capability, but they all do their commitment as members of the colonies. The Autonomous Groups Particles Swarm Optimisation algorithm discovery has tested for 23 mathematical test functions, but not to the real world. Therefore, the possibility of searching for optimal solutions needs to implement to the real world. In this study, the optimisation applies to fuzzy membership function, so that the automatic plant watering can be more optimal and efficient. Preliminary studies show that optimisation using AGPSO for Gaussian membership function provide a positive result.
Modeling financial statements for small and medium businesses in Worm-Made Fertilizer Using Finite State Automata (FSA)
Authors: Yuniar Rahman Aviv , Wanditya Setiawan Feddy , Lia Hananto April , Setyawan Bagus 
Published: July 2021

Abstract
Malang Raya is currently a city that has very rapid economic development. In its development, it began with several small businesses. It is various businesses in Malang such as the culinary, home industry, to livestock business. Currently, one example of a rapidly increasing business is small and medium-sized businesses. Small and medium businesses aim to attract the attention of customers in buying. In this business, there must be financial reports as support in processing business financial data. With this, a State Automata (FSA) finite is needed. Finite State Automata is a concept model that shows the design of an application. With the concept of Finite State Automata, it will introduce a pattern that is in the cash application system. In this test, it will make 3 designs to do the test results. In the three test results it is known that for the first test, it is explained that in the processing process that is carried out 5 times, there is an error in processing 3 times, and in the second test process that is done 5 times, there is an error in processing as much as 1 time. In the third test, this is the result of developing the first and second designs. From the results, it is known that in processing data 5 times, there are no errors in calculations. To test the speed in processing data is appropriate and significant enough to be used as a cash management application for a business.
The Influence Of Production Factors On Productivity In Batik SME’s In Malang Raya
Authors: Fatma Putri Chauliah , Agus Sahbana Muhammad 
Published: July 2021

Abstract
Productivity is one of the benchmarks to find out the number of products or services produced by a business with various inputs used. Small and Medium Enterprises (SME’s) Batik in Malang Raya is relatively new, developing compared to the centers of Indonesian batik, especially in Central Java. In Small and Medium Enterprises specifically batik that is needed traditionally as a result of local wisdom in Malang Raya, it is necessary to review the factors of production that increase productivity. By knowing these decisive factors, it is expected to provide input especially to SME managers to be able to increase the factors that still need to be driven in order to increase productivity. By using the Multiple Linear Regression method, the influence of 9 factors of production, namely human resources, raw materials, machinery, methods, capital, markets, technology, time, and information, is sought for productivity factors. As a result, 7 production factors affect the productivity of traditional batik in Malang. The 7 determining factors are human resources, machinery, methods, capital, technology, time, and information.
Eucalytus Oil Plant Layout Desain in Timor Tengah Utara Regency Using Activity Relationship Chart (ARC) Method
Authors: Kolo Quido , Budiman Arif , Edy Tantowi Alva , Larutama Wiku 
Published: July 2021

Abstract
The factory layout is an important role in improving the efficiency and viability of the industry. Designing the plant layout can use Activity Relationship Chart (ARC). The purpose of this research is to design the layout of eucalyptus plant facility in Timor Tengah Utara district. The results showed that the layout planning department Eucalyptus Oil production by Activity Relationship Chart (ARC) is largely influenced by the degree of sequence relationships between departments work flow and the degree of personal contact is often done. Based on the research that has been done in Timor Tengah Utara district, it can be concluded that the planning layout by Activity Relationship Chart (ARC) more efficient in Eucalyptus Oil refining process.
The Effect of Austenization Temperature in Surface Hardening Process on Steel Plate as Ballistic Plate
Authors: Purwanto Helmy , Dzulfikar Muhammad , Tauviqirrahman Mohammad , Ismail Rifky , Jumain Anang 
Published: July 2021

Abstract
Ballistic resistant plate is a plate that is able to withstand the rate of projectiles. Ballistic resistant plates or armor plates are applied to military vehicles. It requires a combination of hardness, strength and toughness. Surface hardening with heat treatment is carried out to obtain ballistic resistant properties. The article is aimed at increasing the hardness of one of the surface in commercial medium carbon steel. The variation of austenization is done at the temperatures of 700, 800 and 900 °C with induction heating and holding time for 3 seconds. The quenching media used 15 litters of oil. Several tests are conducted: The results of surface hardening are observed in microstructure, distribution of hardness is tested by micro vickers, tensile testing and impact testing. Tensile testing in accordance with ASTM E8 standards and impact testing with E 23 standards. The transformation of ferrite and perlite to marten site is obtained on the surface of the plate in the temperature of 900 °C. At that temperature, hardness increases on the surface and tenacity can be maintained. In addition, the value of hardness, tensile strength and impact energy were significantly increased. Impact energy as a material requirement for ballistic resistance had been achieved, but hardness and tensile strength still need to be increased.
The Influence of Holding Time to Mechanical Properties of Steel Processed with Powder Metallurgy
Authors: Aminnudin Aminnudin , Suryanto Heru , Suprayito  
Published: July 2021

Abstract
Steel with very small grain has high strength but still have ductility. Heating the steel until reach to austenite temperature can make the grain of the steel will growth and reduce the hardness of the steel, to prevent this it is necessary to know the effect of holding time on steel hardness. The hardness is indicating of grain growth of the steel. In this research, we investigated the effect of holding time to the hardness of very small-grained steel. Heat treatment was done at 1100 °C using an electric furnace. Micro-hardness testing used a micro-Vickers method using 300 gram forces and indentation time 10 minutes. Microstructure observation was done with metallurgical microstructure. The etching solution for microstructure observation was nital solution. The heat treatment process of steel powder metallurgy with a holding time of 60 minutes will cause hardness to decrease from 245 in holding 15 minutes to 207 and grain size grow from 1 µm to 4 µm.
Harnesssing Technology Maintenance Process of Tidal Energy Converter
Authors: Baidowi Achmad , Semin  , Koenhardono Eddy S 
Published: July 2021

Abstract
Tidal energy has become an alternative solution for energy source in the future especially for countries with vast ocean such as Indonesia. Tidal energy converter is relatively new which resulted in different concept or even prototypes. The design of tidal energy converter must consider the simplicity of the maintenance process. How is the existing prototypes of tida energy converter maintenance process. This paper evaluate the existing prototype which use floating platform such as Larantuka strait and Madura strait prototype which use Darrieus turbine, T Files turbine which use gorlov turbine, BlueTEC and Horizontal Axis Tidal Current Turbine (HATCT) which use horizontal turbine. The evaluation are based on several criteria such as operational check, inspection and maintenance of harnessing technology or turbine arm where shaft, gearbox and generator are included in the arm which can be called as harnessing technology. The results of comparison shows that the tilted method of maintenance has advantages of visual inspection. The comparison also shows that there is still room for improvement for the design regarding the onsite maintenance by providing larger deck. As the answer of the comparison, a novel design concept is offered using turbine arm with motor for tilting the arm and larger deck area.
Experimental Validation with FPGA Controller to A Switched-Capacitor Interleaved Bidirectional DC-DC Converter for A Renewable Energy Storage Systems
Authors: Bhukya Ramu , Kadali KalyanSagar , Siva Asapu , Palleswari Y T R , Pragaspathy  , Saravanan S 
Published: July 2021

Abstract
A Switched-Capacitor Interleaved Bidirectional DC-DC Converter is used to increase the voltage gain and to decrease the voltage gain to a renewable energy storage system is illustrated with an experimental setup using FGPA controller. This interleaved construction is accepted on this converter of the less-voltage side to decrease the content of the ripple which flows through the side which is low-voltage of this converter. This type of series-connection structure is accepted to achieve the more voltage gain on the higher voltage side/less voltage gain on the high-voltage side of this converter structure. Also, this type of structure is need in a bidirectional synchronic rectification performance are carried out without requiring any additional experimental setup for the same operation, and with this type of converter’s structure its performance is improved. Besides, with this structure, here we can analyze the converter’s current ripple characteristics and also, the operating principles of voltage, and current stresses. Finally; a power rating of kW experimental setup was constructed to analyze this converter’s performance for different ranges under various voltage gain ranges in between the voltage ranges of 50V to 120V on the low-voltage side of this converter while other voltage 400V is kept constant. Under this condition, this converters’ efficiency obtained maximum value is 95.21% in the increase mode whereas when the converter is operating in the decrease mode of operation, the efficiency obtained value is 95.30%. The investigational validation values are verified for boost increase mode and decrease mode of operation with the experimental setup. The same circuit is also performed with the Simulink and got verified for increase and decrease modes of performance.
Plant Leaf Disease Detection Using Rocker Boggie Mechanism
Authors: Anitha G , Nantha L , Prasath R 
Published: July 2021

Abstract
Quite possibly the main occupations in a non-industrial nation like India is farming. It is vital to improve the effectiveness and efficiency of agribusiness by supplanting workers with wise machines like robots utilizing most recent advances. This Robot is primarily used to decrease the exertion of ranchers by expanding the exactness and speed of work. The location of plant illnesses is done through picture handling strategies. The pictures of the plant are caught by an advanced camera which is interfaced with the raspberry pi board. First the camera is empowered then it begins to catch the plant leafs. At whatever point the sensors identify the ailing plant, the sign is given to Raspberry Pi and it will turn on the engine and begin to splash pesticide. Raspberry PI is that it is a quick processor with low force utilization. It is profoundly solid with minimization. A robotized model is created utilizing IoT innovation where sensors like temperature sensor, dampness sensor. This undertaking incorporates highlights like worker based far off observing framework, Stickiness and temperature detecting. To control the wide range of various sensors, we utilize raspberry pi (RPI). To screen the climate and any climate changes utilizing IOT which having a few sensors like Temperature sensor, mugginess sensor, which estimates separate boundaries for the duration of the day. And furthermore boundaries estimated by sensors are sent through IOT. Utilizing estimated boundaries they can recognize and keep from infections by showering pesticides.
Advanced smart energy meter for energy conservation
Authors: Kumar R Senthil , Prabaakaran K , Ovaiz Mohammed , Vivek J , Harshith B , Lokesh P 
Published: July 2021

Abstract
The recent trends in Advanced Metering Infrastructure (AMI) have paved the way for incremental needs within the consumers such as real time billing transparency, data exchanges without errors, high precision, individual load consumption, and remote-control features. In advanced metering infrastructure, the smart energy meter acts as the primary equipment for household metering appliances. Such energy meters come with different design topologies that have proven itself for remote billing, post paid and prepaid packages for electrical consumers, high accuracy, anti-tampering design and remote control over household mains. However, there are few studies that interpret energy meters can be used for energy conservation purposes. The energy conservation suggestions by modern energy meters are not observed effective as they do not assess the individual load characteristics. Moreover, the billing transparency is not based on real time and accurate in the modern energy meters. This paper focuses on advanced billing methodology and consumption of individual load without the need of additional sensors and the meter alerts the user by forecasting the energy consumption continuously.
Authenticated Smart Meter Reading for a Secure Smart Grid
Authors: Vineeth V V , Harikoushik A , Haripriya P , Harishankar A S , Dharshana C P 
Published: July 2021

Abstract
A secure system is proposed in order to authenticate smart meter reading for securing the overall smart grid communication. Compression based techniques are employed to prevent power reading by unauthenticated entities. Impersonation attacks are common in smart grid environment which cause drastic security issues along with economic issues. Compression along with authentication is studied here to weed out the potential threats raised by unauthenticated access. Hypothesis based testing analysis is done to differentiate intruder based signal and genuine signal. This could be applied to meter data more effectively and is thought to bring about low authentication issues concerned with smart meter data. So the increased threat level in smart meter communications in grid can be lowered efficiently by using compression and authentication and make the overall system secure.