Pub Date : 2021-01-31DOI: 10.25139/INFORM.V6I1.3459
Rudi Hariyanto, Mohammad Zoqi Sarwani
In the implementation of learning, there are several factors that affect the student learning process, including internal factors, external factors, and learning approach factors. Internal factors (factors within students), for example: the physical and spiritual condition of the student. Namely: physiological aspects (body, eyes and ears) and psychological aspects (student intelligence, student attitudes, student talents, student interests and student motivation). External factors (factors from outside students), for example: environmental conditions around students. Namely: social environment (family, teachers, community, friends) and non-social environment (home, school, equipment, nature). While the student learning approach factors, for example: The learning approach factor, namely the type of student effort which includes the strategies and methods used by students to carry out learning activities of subject matter, which consists of a high approach, medium approach and low approach. So the first focus of this research is to do student clustering based on their learning process using 11 parameters. Second, using the PSO algorithm to get maximum clustering results. The research data were obtained from vocational secondary education institutions in the city of Pasuruan. Where the data is data obtained from the results of school reports and questionnaires as much as 350 student data. Data attributes include environmental features, social features, and related school features to group student data for learning data processing. From the classification results using the PSO method, there are 0.97140754 silhouette values that are obtained because the distance between the data is very close. From these results indicate that the PSO method is able to improve the performance of the k-means clustering method in the classification process of student learning interest.
{"title":"OPTIMIZING K-MEASN ALGORITHM USING PARTICLE SWARM OPTIMIZATION TO GROUP STUDENT LEARNING PROCESSES","authors":"Rudi Hariyanto, Mohammad Zoqi Sarwani","doi":"10.25139/INFORM.V6I1.3459","DOIUrl":"https://doi.org/10.25139/INFORM.V6I1.3459","url":null,"abstract":"In the implementation of learning, there are several factors that affect the student learning process, including internal factors, external factors, and learning approach factors. Internal factors (factors within students), for example: the physical and spiritual condition of the student. Namely: physiological aspects (body, eyes and ears) and psychological aspects (student intelligence, student attitudes, student talents, student interests and student motivation). External factors (factors from outside students), for example: environmental conditions around students. Namely: social environment (family, teachers, community, friends) and non-social environment (home, school, equipment, nature). While the student learning approach factors, for example: The learning approach factor, namely the type of student effort which includes the strategies and methods used by students to carry out learning activities of subject matter, which consists of a high approach, medium approach and low approach. So the first focus of this research is to do student clustering based on their learning process using 11 parameters. Second, using the PSO algorithm to get maximum clustering results. The research data were obtained from vocational secondary education institutions in the city of Pasuruan. Where the data is data obtained from the results of school reports and questionnaires as much as 350 student data. Data attributes include environmental features, social features, and related school features to group student data for learning data processing. From the classification results using the PSO method, there are 0.97140754 silhouette values that are obtained because the distance between the data is very close. From these results indicate that the PSO method is able to improve the performance of the k-means clustering method in the classification process of student learning interest.","PeriodicalId":52760,"journal":{"name":"Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi","volume":"94 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89094528","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}
Pub Date : 2021-01-31DOI: 10.25139/INFORM.V6I1.3350
Akhsani Taqwiym
Technological developments in supporting and assisting all human work activities are felt to be equally beneficial. Shirouoshien is a business that is engaged in commerce and offering products that it sells to its customers. Shirouoshien uses a website-based application to promote products more efficiently. Evaluation of the shirouoshien application aims to find out how the usability of the website is for users. In general, the criteria that determine that a website is usable (has a high level of usability) is if users can find and get what they need and understand from the Shirouoshien website. The main problems to be examined in this study then the problem will be broken down into several. The main issues need to be considered in the usability analysis of website-based applications, variables that influence user acceptance of the application in the usability framework, and factors that describe the acceptance and use of website-based applications. In general, through analysis of the usability aspect in the next development plan framework, this application still needs further improvement and development to meet customer needs regarding products and product promotion. The results and general discussion through usability aspect analysis in the next development plan framework still need further improvement and development to meet customer needs related to products and product promotion.
{"title":"Usability Analysis of Website-based Applications by Adopting User Satisfaction Models","authors":"Akhsani Taqwiym","doi":"10.25139/INFORM.V6I1.3350","DOIUrl":"https://doi.org/10.25139/INFORM.V6I1.3350","url":null,"abstract":"Technological developments in supporting and assisting all human work activities are felt to be equally beneficial. Shirouoshien is a business that is engaged in commerce and offering products that it sells to its customers. Shirouoshien uses a website-based application to promote products more efficiently. Evaluation of the shirouoshien application aims to find out how the usability of the website is for users. In general, the criteria that determine that a website is usable (has a high level of usability) is if users can find and get what they need and understand from the Shirouoshien website. The main problems to be examined in this study then the problem will be broken down into several. The main issues need to be considered in the usability analysis of website-based applications, variables that influence user acceptance of the application in the usability framework, and factors that describe the acceptance and use of website-based applications. In general, through analysis of the usability aspect in the next development plan framework, this application still needs further improvement and development to meet customer needs regarding products and product promotion. The results and general discussion through usability aspect analysis in the next development plan framework still need further improvement and development to meet customer needs related to products and product promotion.","PeriodicalId":52760,"journal":{"name":"Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90078319","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}
Pub Date : 2021-01-31DOI: 10.25139/INFORM.V6I1.3307
Mohammad Zoqi Sarwani, Dian Ahkam Sani
The Internet creates a new space where people can interact and communicate efficiently. Social media is one type of media used to interact on the internet. Facebook and Twitter are one of the social media. Many people are not aware of bringing their personal life into the public. So that unconsciously provides information about his personality. Big Five personality is one type of personality assessment method and is used as a reference in this study. The data used is the social media status from both Facebook and Twitter. Status has been taken from 50 social media users. Each user is taken as a text status. The results of tests performed using the Probabilistic Neural Network algorithm obtained an average accuracy score of 86.99% during the training process and 83.66% at the time of testing with a total of 30 training data and 20 test data.
{"title":"Social Media Analysis Using Probabilistic Neural Network Algorithm to Know Personality Traits","authors":"Mohammad Zoqi Sarwani, Dian Ahkam Sani","doi":"10.25139/INFORM.V6I1.3307","DOIUrl":"https://doi.org/10.25139/INFORM.V6I1.3307","url":null,"abstract":"The Internet creates a new space where people can interact and communicate efficiently. Social media is one type of media used to interact on the internet. Facebook and Twitter are one of the social media. Many people are not aware of bringing their personal life into the public. So that unconsciously provides information about his personality. Big Five personality is one type of personality assessment method and is used as a reference in this study. The data used is the social media status from both Facebook and Twitter. Status has been taken from 50 social media users. Each user is taken as a text status. The results of tests performed using the Probabilistic Neural Network algorithm obtained an average accuracy score of 86.99% during the training process and 83.66% at the time of testing with a total of 30 training data and 20 test data.","PeriodicalId":52760,"journal":{"name":"Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi","volume":"30 6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83675797","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}
Pub Date : 2021-01-31DOI: 10.25139/INFORM.V6I1.3348
Yudi Kristyawan, Muchammad Asro Rofi’i
The braking system is very important on a motorcycle. The primary function of the braking system is to slow down and even stop the motorcycle. The braking system using disc brakes on motorcycles is commonly used today, especially on automatic transmission motorcycles. One of the disadvantages of disc brakes is the heat caused by the disc's friction with the brake pads if you apply continuous braking. This continuous braking is often done by a motor rider when crossing downhill roads in mountainous areas. Excessive heat in the disc brakes causes the brake fluid to boil, resulting in air bubbles resulting in braking failure. The failure of the braking system on a motorcycle is hazardous for the rider and others. The experimental method detects braking system failure by catching the disc brake's temperature with a touchless temperature sensor, MLX90614. Temperature detection is processed with Arduino as a control, and the temperature is displayed on the LCD. If the disc brake temperature is above 200oC, a buzzer is activated as a warning to the driver. The test results show that the system can display a temperature reading on the LCD lower than the thermometer gun, with the most inferior reading difference of 0.2oC and the highest 0.4oC. The system can also display notifications to users on disc brake temperatures above 200oC, namely at temperatures of 211.1oC, 224.3oC, and 237.5oC, which were achieved at 200, 225, and 250 seconds.
{"title":"Early Detection of Overheating in Motorcycle Disc Brakes Based on Arduino","authors":"Yudi Kristyawan, Muchammad Asro Rofi’i","doi":"10.25139/INFORM.V6I1.3348","DOIUrl":"https://doi.org/10.25139/INFORM.V6I1.3348","url":null,"abstract":"The braking system is very important on a motorcycle. The primary function of the braking system is to slow down and even stop the motorcycle. The braking system using disc brakes on motorcycles is commonly used today, especially on automatic transmission motorcycles. One of the disadvantages of disc brakes is the heat caused by the disc's friction with the brake pads if you apply continuous braking. This continuous braking is often done by a motor rider when crossing downhill roads in mountainous areas. Excessive heat in the disc brakes causes the brake fluid to boil, resulting in air bubbles resulting in braking failure. The failure of the braking system on a motorcycle is hazardous for the rider and others. The experimental method detects braking system failure by catching the disc brake's temperature with a touchless temperature sensor, MLX90614. Temperature detection is processed with Arduino as a control, and the temperature is displayed on the LCD. If the disc brake temperature is above 200oC, a buzzer is activated as a warning to the driver. The test results show that the system can display a temperature reading on the LCD lower than the thermometer gun, with the most inferior reading difference of 0.2oC and the highest 0.4oC. The system can also display notifications to users on disc brake temperatures above 200oC, namely at temperatures of 211.1oC, 224.3oC, and 237.5oC, which were achieved at 200, 225, and 250 seconds.","PeriodicalId":52760,"journal":{"name":"Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi","volume":"150 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77415096","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}
Pub Date : 2021-01-31DOI: 10.25139/INFORM.V6I1.3228
E. Ekojono, A. Herman, Mentari Mustika
Euthynus is one of the fish that is widely consumed for the enjoyment of the people of Indonesia or abroad, because of its very soft quality, easy to obtain, and contains a lot of essential protein amino acids that are good for the body. This research aims to identify the freshness of the fish purchased based on the eyes and fish gills. The initial process of identifying the freshness of fish uses several methods. Image input process through image object taking using a cell phone camera. The image object is used to determine the value of the RGB image object. RGB color extraction clarifies the value obtained from the image object before proceeding to the next process. Image resize is the process of cutting the image on the desired object part. Image conversion using the HSV method was used to determine the freshness of fish in the gills. The Local Binary Pattern method is used to determine the freshness of the fisheye. The next step is to refine the RGB image into Morphology. The KNN (K-Nearest Neighbor Method) method is used to group objects based on learning data closest to the object. The journal analysis results on the comparison of methods, after 45 trials for each method, found that the Hue Saturation Value method obtained the highest success by 90% and for the texture value obtained 85% success.
{"title":"Identification of Freshness of Marine Fish Based on Image of Hue Saturation Value and Morphology","authors":"E. Ekojono, A. Herman, Mentari Mustika","doi":"10.25139/INFORM.V6I1.3228","DOIUrl":"https://doi.org/10.25139/INFORM.V6I1.3228","url":null,"abstract":"Euthynus is one of the fish that is widely consumed for the enjoyment of the people of Indonesia or abroad, because of its very soft quality, easy to obtain, and contains a lot of essential protein amino acids that are good for the body. This research aims to identify the freshness of the fish purchased based on the eyes and fish gills. The initial process of identifying the freshness of fish uses several methods. Image input process through image object taking using a cell phone camera. The image object is used to determine the value of the RGB image object. RGB color extraction clarifies the value obtained from the image object before proceeding to the next process. Image resize is the process of cutting the image on the desired object part. Image conversion using the HSV method was used to determine the freshness of fish in the gills. The Local Binary Pattern method is used to determine the freshness of the fisheye. The next step is to refine the RGB image into Morphology. The KNN (K-Nearest Neighbor Method) method is used to group objects based on learning data closest to the object. The journal analysis results on the comparison of methods, after 45 trials for each method, found that the Hue Saturation Value method obtained the highest success by 90% and for the texture value obtained 85% success.","PeriodicalId":52760,"journal":{"name":"Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi","volume":"80 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79701388","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}
Pub Date : 2021-01-31DOI: 10.25139/INFORM.V6I1.3305
B. Indriyono, Zudha Pratama
Information retrieval system is a system that is widely used to retrieve information. This research will discuss how the system finds back the information stored in database tables. Tables in the database are arranged to store all forms of data entered by database users so that later the stored data can be used again. Re-accessing the database's information must go through a mechanism known as a database management system (DBMS). One of the most widely used DBMS is MySQL. By using a DBMS, information and data can be manipulated according to user needs. Data manipulation in the database is done in a special language, namely SQL (Structure Query Language). Mastery of SQL commands is an obligation for database users so that the manipulated data can produce the required information. However, many database users still do not understand how the actual SQL command syntax manages and manipulates data into information. This is, of course, very risky if the solution is not immediately sought because it will hinder the process of retrieving information from the data stored in the database. For this problem to be resolved, it is necessary to design a system that can help database users translate their wishes into SQL command syntax. This paper will discuss how a command in Indonesian can be translated into SQL command syntax. The method used to solve this research problem is rule-based. There are two stages in the main process: the pre-processing stage, which consists of a word tokenization process, and a translation stage, including a keyword grouping process. This keyword grouping process consists of the keyword group analysis phase, table and column analysis, identification of SQL commands, and mapping of SQL commands. From all stages that have been passed and testing of 7 scenarios with ten (10) commands for each scenario, the accuracy is 81.42%. The inaccuracy in the testing process is more a problem of displaying data from two or more tables, for example, using the join table command. This problem can be addressed by adding new rules for the use of table joins.
{"title":"Generating SQL Command Syntax Using MySQL Based on Typing Command Sentence","authors":"B. Indriyono, Zudha Pratama","doi":"10.25139/INFORM.V6I1.3305","DOIUrl":"https://doi.org/10.25139/INFORM.V6I1.3305","url":null,"abstract":"Information retrieval system is a system that is widely used to retrieve information. This research will discuss how the system finds back the information stored in database tables. Tables in the database are arranged to store all forms of data entered by database users so that later the stored data can be used again. Re-accessing the database's information must go through a mechanism known as a database management system (DBMS). One of the most widely used DBMS is MySQL. By using a DBMS, information and data can be manipulated according to user needs. Data manipulation in the database is done in a special language, namely SQL (Structure Query Language). Mastery of SQL commands is an obligation for database users so that the manipulated data can produce the required information. However, many database users still do not understand how the actual SQL command syntax manages and manipulates data into information. This is, of course, very risky if the solution is not immediately sought because it will hinder the process of retrieving information from the data stored in the database. For this problem to be resolved, it is necessary to design a system that can help database users translate their wishes into SQL command syntax. This paper will discuss how a command in Indonesian can be translated into SQL command syntax. The method used to solve this research problem is rule-based. There are two stages in the main process: the pre-processing stage, which consists of a word tokenization process, and a translation stage, including a keyword grouping process. This keyword grouping process consists of the keyword group analysis phase, table and column analysis, identification of SQL commands, and mapping of SQL commands. From all stages that have been passed and testing of 7 scenarios with ten (10) commands for each scenario, the accuracy is 81.42%. The inaccuracy in the testing process is more a problem of displaying data from two or more tables, for example, using the join table command. This problem can be addressed by adding new rules for the use of table joins.","PeriodicalId":52760,"journal":{"name":"Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78276668","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}
Pub Date : 2021-01-31DOI: 10.25139/INFORM.V6I1.3406
Bayu Sandi Marta, Dewi Mutiara Sari
Slip on the mobile robot has a significant impact on the maneuver and the accuracy of the mobile robot movement. The slip phenomenon occurs because of the loss of traction between the surface and the wheels due to the spontaneous acceleration or declaration application. This paper presents a method to improve DC motor performance by using slip control as an observer such that the slip phenomenon effect can be minimized. The performance that will be analyzed is the accuracy of motor speed and robot position accuracy when the robot is moving. The result shows that the Root Mean Squared Error (RMSE) for the motor speed performance that does not use slip control is 2.680, the system using slip control produces RMSE 1.3393. Regarding the robot position accuracy, the RMSE of the system that does not use slip control is 0.0379, the system using slip control is 0.0065.
{"title":"Improvement of DC Motor Speed Control for Mobile Robot to Minimize Slip Phenomenon","authors":"Bayu Sandi Marta, Dewi Mutiara Sari","doi":"10.25139/INFORM.V6I1.3406","DOIUrl":"https://doi.org/10.25139/INFORM.V6I1.3406","url":null,"abstract":"Slip on the mobile robot has a significant impact on the maneuver and the accuracy of the mobile robot movement. The slip phenomenon occurs because of the loss of traction between the surface and the wheels due to the spontaneous acceleration or declaration application. This paper presents a method to improve DC motor performance by using slip control as an observer such that the slip phenomenon effect can be minimized. The performance that will be analyzed is the accuracy of motor speed and robot position accuracy when the robot is moving. The result shows that the Root Mean Squared Error (RMSE) for the motor speed performance that does not use slip control is 2.680, the system using slip control produces RMSE 1.3393. Regarding the robot position accuracy, the RMSE of the system that does not use slip control is 0.0379, the system using slip control is 0.0065.","PeriodicalId":52760,"journal":{"name":"Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84764863","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}
Pub Date : 2021-01-31DOI: 10.25139/INFORM.V6I1.3346
Iwan Kurnianto Wibowo, A. Besari, Muh. Rifqi Rizqullah
Previously, an educational robot system was built by incorporating Internet of Things (IoT) elements. Over time, this educational robot has been implanted with a middleware. Middleware has a role in receiving command data from the real-time database, access sensors, actuators, and sending feedback. Middleware contains protocols that translate commands between high-level programming and Raspberry Pi hardware. The focus of this research is to improve the performance of the middleware to pursue processing time efficiency. For this reason, it is necessary to implement multiprocessing and multithreading in handling several tasks. The CPU division has been adjusted automatically to not work on just one core or block of memory. Several program functions can run in parallel and reduce program execution time efficiently. The tasks handled are sensor reading and actuator control in the form of a motor. Testing has been carried out to perform multiprocessing and multithreading tasks to process six sensors and five actuators. Multiprocessing requires an average of 1.00% to 15.00% CPU usage and 2.70% memory usage. Meanwhile, multithreading involves an average of 1.00% to 71.00% CPU usage and 3.30% memory usage.
{"title":"Implementation of Multiprocessing and Multithreading for End Node Middleware Control on Internet of Things Devices","authors":"Iwan Kurnianto Wibowo, A. Besari, Muh. Rifqi Rizqullah","doi":"10.25139/INFORM.V6I1.3346","DOIUrl":"https://doi.org/10.25139/INFORM.V6I1.3346","url":null,"abstract":"Previously, an educational robot system was built by incorporating Internet of Things (IoT) elements. Over time, this educational robot has been implanted with a middleware. Middleware has a role in receiving command data from the real-time database, access sensors, actuators, and sending feedback. Middleware contains protocols that translate commands between high-level programming and Raspberry Pi hardware. The focus of this research is to improve the performance of the middleware to pursue processing time efficiency. For this reason, it is necessary to implement multiprocessing and multithreading in handling several tasks. The CPU division has been adjusted automatically to not work on just one core or block of memory. Several program functions can run in parallel and reduce program execution time efficiently. The tasks handled are sensor reading and actuator control in the form of a motor. Testing has been carried out to perform multiprocessing and multithreading tasks to process six sensors and five actuators. Multiprocessing requires an average of 1.00% to 15.00% CPU usage and 2.70% memory usage. Meanwhile, multithreading involves an average of 1.00% to 71.00% CPU usage and 3.30% memory usage.","PeriodicalId":52760,"journal":{"name":"Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75067312","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}
Pub Date : 2021-01-31DOI: 10.25139/INFORM.V6I1.3339
Teguh Arifianto, Anindira Listy, S. Sunardi
A telemetry data monitoring system is needed to monitor land shifting. This system consists of an ATMega328 microcontroller, a Linear Variable Differential Transformer (LVDT) and a rheostat, an accelerometer sensor, a rain gauge tipping bucket, and the HC-12 radio telemetry module. Normally, the LVDT reads the land shift in the 0-20 mm range, the Rheostat is capable of shifting up to 66 mm, the accelerometer sensor reads less than 20 deg of data, and the rain gauge tipping bucket sensor creates the amount of rainfall below 50 mm/hour which is then sending real-time data regularly for 24 hours. The buzzer installed in the field will sound if the LVDT reads land shift more than 30 mm, Rheostat more than 51 mm, and the accelerometer sensor reads data more than 45 deg; also, the rain gauge tipping bucket sensor reads more than 70 mm/hour. This test creates parameter data. So that shift data can be monitored.
{"title":"Real-Time Telemetry Data Monitoring System on Soil Movement of Railway Tracks","authors":"Teguh Arifianto, Anindira Listy, S. Sunardi","doi":"10.25139/INFORM.V6I1.3339","DOIUrl":"https://doi.org/10.25139/INFORM.V6I1.3339","url":null,"abstract":"A telemetry data monitoring system is needed to monitor land shifting. This system consists of an ATMega328 microcontroller, a Linear Variable Differential Transformer (LVDT) and a rheostat, an accelerometer sensor, a rain gauge tipping bucket, and the HC-12 radio telemetry module. Normally, the LVDT reads the land shift in the 0-20 mm range, the Rheostat is capable of shifting up to 66 mm, the accelerometer sensor reads less than 20 deg of data, and the rain gauge tipping bucket sensor creates the amount of rainfall below 50 mm/hour which is then sending real-time data regularly for 24 hours. The buzzer installed in the field will sound if the LVDT reads land shift more than 30 mm, Rheostat more than 51 mm, and the accelerometer sensor reads data more than 45 deg; also, the rain gauge tipping bucket sensor reads more than 70 mm/hour. This test creates parameter data. So that shift data can be monitored.","PeriodicalId":52760,"journal":{"name":"Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi","volume":"84 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78245316","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}
Pub Date : 2021-01-31DOI: 10.25139/INFORM.V6I1.3320
Bayu Setyo Wibowo, S. Handoko, H. Hermawan
Electricity is one of the energies required by daily living since the greater demand for electricity increases greenhouse emissions that create emission gases resulting in global climate change. The main portion of the output cost is fuel's cost to manufacture electrical energy in thermal turbines. The use of electrical energy is currently rising increasingly following the increasing population. The research aims to optimize hydro generation to minimize thermal generation expense and address economic problems and pollution from shipping. With 2016b using Matlab applications and the lambda iteration process, the analysis method uses the Dragonfly Algorithm method. The analysis found that the average cost of fuel consumption provided by the Dragonfly Algorithm method was IDR 151,164,418 per day with an emission of 917.40 tons per day, based on the simulation results the Dragonfly Algorithm in testing by considering the emission of 5 practical steps. Meanwhile, with the emission of 918,044 tonnes per day, the average cost of fuel consumption produced by the Lambda Iteration method is IDR 151,202,209 per day. Test results can enhance the fuel consumption cost of IDR 37,791 and emissions of 0.641 tons with the Dragonfly Algorithm process.
{"title":"Optimization Economic and Emissions of Hydro and Thermal Power Plants in 150 kV Systems Using the Dragonfly Algorithm","authors":"Bayu Setyo Wibowo, S. Handoko, H. Hermawan","doi":"10.25139/INFORM.V6I1.3320","DOIUrl":"https://doi.org/10.25139/INFORM.V6I1.3320","url":null,"abstract":"Electricity is one of the energies required by daily living since the greater demand for electricity increases greenhouse emissions that create emission gases resulting in global climate change. The main portion of the output cost is fuel's cost to manufacture electrical energy in thermal turbines. The use of electrical energy is currently rising increasingly following the increasing population. The research aims to optimize hydro generation to minimize thermal generation expense and address economic problems and pollution from shipping. With 2016b using Matlab applications and the lambda iteration process, the analysis method uses the Dragonfly Algorithm method. The analysis found that the average cost of fuel consumption provided by the Dragonfly Algorithm method was IDR 151,164,418 per day with an emission of 917.40 tons per day, based on the simulation results the Dragonfly Algorithm in testing by considering the emission of 5 practical steps. Meanwhile, with the emission of 918,044 tonnes per day, the average cost of fuel consumption produced by the Lambda Iteration method is IDR 151,202,209 per day. Test results can enhance the fuel consumption cost of IDR 37,791 and emissions of 0.641 tons with the Dragonfly Algorithm process.","PeriodicalId":52760,"journal":{"name":"Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi","volume":"82 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80001464","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}
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