{"title":"Performance Evaluation of Speed Controller Using Fuzzy Mamdani in Single Phase Induction Motor","authors":"F. Murdianto, Ainur Rofiq Nansur, Alfis Syah Laili Hermawan, Rachmad Bagus Indra Kurniawan","doi":"10.1109/ICITISEE.2018.8721023","DOIUrl":"https://doi.org/10.1109/ICITISEE.2018.8721023","url":null,"abstract":"In the process of making bean sprouts from green beans, require a continuous watering process. This watering process is based on the temperature of the green bean plant. The watering process begins when the temperature of the green bean plants reaches 35 °C and is stopped when the temperature is at 30 °C. Because at that temperature, green beans can grow optimally. When the temperature exceeds 35 °C, it will cause the green beans easily decay faster while when the temperature is less than 30 °C then the growth of green bean into bean sprouts will slow down. Unfortunately, this watering process is still done manually by the farmers everyday and cause the temperature of the green bean plant to be inaccurate at 35 °C to 30 °C. Therefore, it is needed a tool that can watering the green beans automatically to keep the temperature accurate at a maximum temperature of 35 °C and a minimum of 30 °C. So, in this research will propose a single phase full bridge inverter using SPWM switching method to control the speed of a single phase induction motor pump for watering process of green bean plants. In addition, Fuzzy Logic Controller (FLC) will be proposed as a control to classify the output frequency of the inverter based on the input temperature of the plant. With the FLC then the water volume for watering process can be arranged to maintain the temperature always accurate at 35 °C to 30 °C. Based on the experimental results, the FLC has a good ability to classify input temperatures of green bean plants from 35 °C to 30 °C to a frequency output of 50 Hz to 0 Hz to control the volume of watering process.","PeriodicalId":180051,"journal":{"name":"2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126088356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Y. Taryana, Y. Sulaeman, T. Praludi, Y. Wahyu, Arief Budi Santiko
{"title":"Down-Conversion Mixer Using Quadrature Hybrid Couple and Schottky Diode for S-Band Radar Application","authors":"Y. Taryana, Y. Sulaeman, T. Praludi, Y. Wahyu, Arief Budi Santiko","doi":"10.1109/ICITISEE.2018.8721003","DOIUrl":"https://doi.org/10.1109/ICITISEE.2018.8721003","url":null,"abstract":"In the superheterodyne receiver system needs frequency translation process between the Radio Frequency (RF) signal and Local Oscilator (LO) signal. The process will converts RF to Intermediate Frequency (IF). In this paper, present designed and realized a down-conversion mixer which operates at S-band frequency for coastal-radar application. In the design process, the advanced design system (ADS 2011.11) software is applied to design and simulate it. This mixer has been built by using 90o quadrature hybrid Coupler with single balance technique. Whilst, the realization uses microstrip lines technique and two pieces of SMS 3923 schottky diode. The measurement results has been obtained as follows: 24.42 dB conversion loss at 600 MHz, with -30 dBm of RF signal and 15 dBm of LO signal.","PeriodicalId":180051,"journal":{"name":"2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128275352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Congestion Correlation And Classification from Twitter and Waze Map Using Artificial Neural Network","authors":"Acihmah Sidauruk, Ikmah","doi":"10.1109/icitisee.2018.8720995","DOIUrl":"https://doi.org/10.1109/icitisee.2018.8720995","url":null,"abstract":"Traffic congestion has become a big problem in cities around the world, especially in big cities. This causes information about traffic conditions very important to be known by the riders. Such information can be obtained quickly and easily through social media, but not yet known. Previous research has largely focused on classifying congestion data and traffic speed velocity analysis, while the correlation between congestion information from social media and actual traffic flow velocity has not been studied. In this study, we combine data from social media and traffic data collected for 1 week and focus on some major roads in Yogyakarta, Indonesia to investigate the correlation between congestion information in cyberspace through social media and actual traffic speed in Waze applications. The results in this study indicate that the highest precision value of all experiments is 84.01%, while the lowest precision value of all experiments is 0.37%.","PeriodicalId":180051,"journal":{"name":"2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133390906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}