Atthidtimea lotof automationis used invariousfields that are mandatory tokmakeiteasierfor human todo allthe work. This researchisintendedtocreate a monitoring system. Thissecurity system uses arduino microcontroller asthe main controllerthatservesto improve thesignalfromthelight sensor, flame sensor,andgassensor which isthen used asoutputsignal andsenttotheactuator.Device that actas inputonthissystemare3types of sensors,theLDRsensor asa light input,flamesensoras firedetector input,andMQ-2 gassensor that servesasagasleak detector. The programon the arduino isenabled to configure andinitialize the hardware andreceive inputsignalsfromthe 3 sensorswhichwillthebe processed undersomeconditionsto producethe desired output. MQ-2 and LDR sensor test resultshowdata witha fairly good standard
R. W. Arsianti, Arif Alexander, M. Mulyadi, Raudah Raudah
Type 2 diabetes mellitus is closely related to Body Mass Index. Type 2 diabetes mellitus is very influential on the quality of life of patients and requires substantial health costs. The prevalence of this disease is increasing every year due to changes in lifestyle behavior. Diabetes Mellitus can be prevented, delayed by controlling risk factors. One of the risk factors for diabetes mellitus type II is a high body mass index. The purpose of this research is designed prototype of Body Mass Index. This device consists of load cell sensors and ultrasonic sensors used to measure body weight and height. The accuracy of Body Mass Index Device is 98.5%. So this can be proposed as tools for measuring Body Mass Index. The number of subject in this research is 17. The result shows that 29.4% is categorized Body Mass Index with risk of type 2 diabetes mellitus.
{"title":"Rancang Bangun Alat Ukur Indeks Masa Tubuh Untuk Deteksi Diabetes Mellitus Tipe 2","authors":"R. W. Arsianti, Arif Alexander, M. Mulyadi, Raudah Raudah","doi":"10.30649/je.v1i1.16","DOIUrl":"https://doi.org/10.30649/je.v1i1.16","url":null,"abstract":"Type 2 diabetes mellitus is closely related to Body Mass Index. Type 2 diabetes mellitus is very influential on the quality of life of patients and requires substantial health costs. The prevalence of this disease is increasing every year due to changes in lifestyle behavior. Diabetes Mellitus can be prevented, delayed by controlling risk factors. One of the risk factors for diabetes mellitus type II is a high body mass index. The purpose of this research is designed prototype of Body Mass Index. This device consists of load cell sensors and ultrasonic sensors used to measure body weight and height. The accuracy of Body Mass Index Device is 98.5%. So this can be proposed as tools for measuring Body Mass Index. The number of subject in this research is 17. The result shows that 29.4% is categorized Body Mass Index with risk of type 2 diabetes mellitus.","PeriodicalId":209968,"journal":{"name":"Jurnal Elektronika, Listrik, Telekomunikasi, Komputer, Informatika, Sistem Kontrol (J-Eltrik)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129988095","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}
Balisranislam Balisranislam, I. Sutantra, Bambang Sampurno, Herry Sufyan Hadi
Buildings have priority to support the comfort and public relations of air circulation system and natural lighting, where the most widely used system is glass. In general, the process of cleaning glass in multi-storey building using conventional labor is by human labor. This process is relatively simple but has a loss in work accidents. Therefore, this study discusses glass cleaning robots. the working system of moving the wheel of the robot directly, and the control system using PID control. Tuning PID using Zigler-Nichols and Find Tuning methods with Simulink. Based on the results of PID Controller Calculation using Zigler Nichols method, the value obtained Kp = 0,01446, Ki = 0,0000026, and Kd = 9524,35. While calculation of PID controller using PID tuning with simulink, obtained value Kp = 19,365, Ki = 13,115, and Kd = 5,699. The speed control system using the Zigler-Nichols method does not produce a good response, because the resulting response is still unstable. While PID control using Tuning can produce a good response with up time can be achieved within 1.39 seconds, over shoot by 8% and the exact completion time is 5 seconds
建筑优先考虑支持空气循环系统和自然采光的舒适性和公共关系，其中最广泛使用的系统是玻璃。一般来说，采用常规人工的多层建筑玻璃清洗过程是由人工完成的。这一过程相对简单，但在工作事故中有损失。因此，本研究对玻璃清洁机器人进行了探讨。采用直接移动机器人车轮的工作系统，控制系统采用PID控制。使用Zigler-Nichols和Simulink的Find整定方法对PID进行整定。根据Zigler Nichols法对PID控制器的计算结果，得到Kp = 0,01446, Ki = 0,0000026, Kd = 9524,35。在使用simulink进行PID整定计算PID控制器时，得到Kp = 19,365, Ki = 13,115, Kd = 5,699。采用Zigler-Nichols方法的速度控制系统不能产生良好的响应，因为得到的响应仍然不稳定。而使用调谐的PID控制可以产生良好的响应，up时间可以在1.39秒内实现，超过射击8%，准确的完成时间为5秒
{"title":"STUDI NUMERIK SIMULASI ROBOT PEMBERSIH KACA PADA GEDUNG BERTINGKAT","authors":"Balisranislam Balisranislam, I. Sutantra, Bambang Sampurno, Herry Sufyan Hadi","doi":"10.30649/je.v1i1.20","DOIUrl":"https://doi.org/10.30649/je.v1i1.20","url":null,"abstract":"Buildings have priority to support the comfort and public relations of air circulation system and natural lighting, where the most widely used system is glass. In general, the process of cleaning glass in multi-storey building using conventional labor is by human labor. This process is relatively simple but has a loss in work accidents. Therefore, this study discusses glass cleaning robots. the working system of moving the wheel of the robot directly, and the control system using PID control. Tuning PID using Zigler-Nichols and Find Tuning methods with Simulink. Based on the results of PID Controller Calculation using Zigler Nichols method, the value obtained Kp = 0,01446, Ki = 0,0000026, and Kd = 9524,35. While calculation of PID controller using PID tuning with simulink, obtained value Kp = 19,365, Ki = 13,115, and Kd = 5,699. The speed control system using the Zigler-Nichols method does not produce a good response, because the resulting response is still unstable. While PID control using Tuning can produce a good response with up time can be achieved within 1.39 seconds, over shoot by 8% and the exact completion time is 5 seconds ","PeriodicalId":209968,"journal":{"name":"Jurnal Elektronika, Listrik, Telekomunikasi, Komputer, Informatika, Sistem Kontrol (J-Eltrik)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132373383","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}
Nowadays solar panel is widely used as an independent power plant, it can be seen the many applications of solar panels on electrical equipment, such as traffic light, general lighting, etc. The energi produced by solar panel is affected by the absorbed sunlight. generally solar panels are implemented statically, this causes the absorption of solar energi is not maximal in the morning and afternoon. To maximize the absorption of sunlight, solar panels must always be facing perpendicular to the position of the sun. Automatic solar tracking system is needed to solve these problems, It is makes solar panels always perpendicular to the sun and can follow the movement of the sun, so that the absorption of solar energi is more leverage. The results of the test show the use of automatic tracking system to get the maximum absorption of solar energi indicated by a more stable voltage output,and the power generated is greater than using a static solar panel. Automatic Sun Tracking System (ASTS) increase the average power up to ± 39-41 watt / day with the efficiency of ASTS 81.66% on PV panel 50 WP.
如今太阳能电池板作为一种独立的发电厂被广泛使用，可以看到太阳能电池板在许多电气设备上的应用，如交通信号灯，普通照明等。太阳能板产生的能量受吸收的太阳光的影响。通常太阳能板是静态的，这导致太阳能的吸收在上午和下午不是最大的。为了最大限度地吸收阳光，太阳能电池板必须始终面向垂直于太阳的位置。自动太阳能跟踪系统就需要解决这些问题，它使太阳能电池板始终垂直于太阳，并能跟随太阳的运动，使太阳能的吸收更有杠杆作用。试验结果表明，采用自动跟踪系统可以获得最大的太阳能吸收量，输出电压更稳定，并且产生的功率大于使用静态太阳能电池板。自动太阳跟踪系统(automated Sun Tracking System, ast)可将平均功率提高到±39-41瓦/天，在50 WP的光伏板上，其效率为81.66%。
{"title":"Rancang Bangun Panel Photovoltaic Dengan Automatic Sun Tracking System (Asts) Untuk Mengoptimalan Serapan Energi Matahari","authors":"Belly Yan Dewantara, Daeng Rahmatullah","doi":"10.30649/je.v1i1.11","DOIUrl":"https://doi.org/10.30649/je.v1i1.11","url":null,"abstract":"Nowadays solar panel is widely used as an independent power plant, it can be seen the many applications of solar panels on electrical equipment, such as traffic light, general lighting, etc. The energi produced by solar panel is affected by the absorbed sunlight. generally solar panels are implemented statically, this causes the absorption of solar energi is not maximal in the morning and afternoon. To maximize the absorption of sunlight, solar panels must always be facing perpendicular to the position of the sun. Automatic solar tracking system is needed to solve these problems, It is makes solar panels always perpendicular to the sun and can follow the movement of the sun, so that the absorption of solar energi is more leverage. The results of the test show the use of automatic tracking system to get the maximum absorption of solar energi indicated by a more stable voltage output,and the power generated is greater than using a static solar panel. Automatic Sun Tracking System (ASTS) increase the average power up to ± 39-41 watt / day with the efficiency of ASTS 81.66% on PV panel 50 WP.","PeriodicalId":209968,"journal":{"name":"Jurnal Elektronika, Listrik, Telekomunikasi, Komputer, Informatika, Sistem Kontrol (J-Eltrik)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121120084","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}
To design the coordination of protection on radial systems is not difficult, but the loop system is challenging for researchers, plus loop systems connected with distributed generators (DG). For setting up Directional Overcurent Relay (DOCR) in loop system only use lowset, so the operating time of release depends on rated of fault current. The fault current will vary if there is DG in the system. Change ON/ OFF DG will also make the direction of the current fluctuate. So we have to reset the protection relay. To re-setting the protection system researchers need more time. The Modified Particle Swarm Optimation (MPSO) method is recommended to reduce the calculation time of the protection relay and obtain the most optimum protection time in loop system with DG. Full load ampere (IFLA) equipment and Maximum fault current (Isc max) as inputs MPSO and lowset as outputs MPSO. Lowset output of MPSO then put on rele as setting DOCR. The results of this study have been tested in simulation using ETAP software successfully and it is clear that MPSO method is the right method to obtain the release settings with the most optimum time.
径向系统的协调保护设计并不困难，但回路系统的协调保护设计对研究人员来说是一个挑战，再加上与分布式发电机(DG)相连的回路系统。由于在回路系统中设置定向过流继电器(DOCR)时只使用低定值，因此其释放操作时间取决于故障电流的额定值。当系统中有DG时，故障电流会发生变化。改变ON/ OFF DG也会使电流的方向波动。所以我们得重置保护继电器。研究人员需要更多的时间来重新设置保护系统。提出了一种改进粒子群算法(MPSO)来减少保护继电保护的计算时间，从而在有DG的闭环系统中获得最优的保护时间。满载安培(IFLA)设备和最大故障电流(Isc max)作为输入MPSO和低设置作为输出MPSO。MPSO的低设置输出，然后把释放作为设置DOCR。本研究的结果已成功地用ETAP软件进行了模拟测试，表明MPSO方法是获得最佳释放时间的正确方法。
{"title":"Optimasi DOCR Pada Sistem Distribusi Loop dengan Pembangkit Tersebar Menggunakan Algoritma Modified Particle Swarm Optimastion (MPSO)","authors":"D. Rahmatullah, Belly Yan Dewantara","doi":"10.30649/je.v1i1.10","DOIUrl":"https://doi.org/10.30649/je.v1i1.10","url":null,"abstract":"To design the coordination of protection on radial systems is not difficult, but the loop system is challenging for researchers, plus loop systems connected with distributed generators (DG). For setting up Directional Overcurent Relay (DOCR) in loop system only use lowset, so the operating time of release depends on rated of fault current. The fault current will vary if there is DG in the system. Change ON/ OFF DG will also make the direction of the current fluctuate. So we have to reset the protection relay. To re-setting the protection system researchers need more time. The Modified Particle Swarm Optimation (MPSO) method is recommended to reduce the calculation time of the protection relay and obtain the most optimum protection time in loop system with DG. Full load ampere (IFLA) equipment and Maximum fault current (Isc max) as inputs MPSO and lowset as outputs MPSO. Lowset output of MPSO then put on rele as setting DOCR. The results of this study have been tested in simulation using ETAP software successfully and it is clear that MPSO method is the right method to obtain the release settings with the most optimum time.","PeriodicalId":209968,"journal":{"name":"Jurnal Elektronika, Listrik, Telekomunikasi, Komputer, Informatika, Sistem Kontrol (J-Eltrik)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126413235","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}
Herry Sufyan Hadi, Arief Abdurrakhman, Ahmad Haqqi Dudayef, Bambang Sampurno, A. Rahmadiansah, Balisranislam Balisranislam
Development in surabaya were very fast. There were 105 buildings which in the care of glass used exertion conventional cleaners. It caused many accidents caused by the height of building. To solve this problem, there was one of solution that can be done for example to replace the conventional energy with cleaner engine, like glass cleaning robot. Glass cleaning robot usually used cleaning fluid with cleaning cloth or cleaner. Consumption of cleaner fluid was noted to get the result of used cleaner fluid. Monitoring would be helpful If process of monitoring is be done automatically. This monitoring system used water level of detection sensors as how high the level of liquids on glass cleaner robot. Monitoring the level of glass cleaner robot is displayed on android. Display used bluetooth HC-05 modul. Testing result was got that average amounting were 0.065556 correction, and value of measuring uncertainty were ±0.120015678 with levels of trust 95 %.
{"title":"Rancang Bangun Sistem Monitoring Cairan Pembersih Pada Robot Permbersih Kaca Berbasis Mikrokontroller Atmega8535","authors":"Herry Sufyan Hadi, Arief Abdurrakhman, Ahmad Haqqi Dudayef, Bambang Sampurno, A. Rahmadiansah, Balisranislam Balisranislam","doi":"10.30649/je.v1i1.12","DOIUrl":"https://doi.org/10.30649/je.v1i1.12","url":null,"abstract":"Development in surabaya were very fast. There were 105 buildings which in the care of glass used exertion conventional cleaners. It caused many accidents caused by the height of building. To solve this problem, there was one of solution that can be done for example to replace the conventional energy with cleaner engine, like glass cleaning robot. Glass cleaning robot usually used cleaning fluid with cleaning cloth or cleaner. Consumption of cleaner fluid was noted to get the result of used cleaner fluid. Monitoring would be helpful If process of monitoring is be done automatically. This monitoring system used water level of detection sensors as how high the level of liquids on glass cleaner robot. Monitoring the level of glass cleaner robot is displayed on android. Display used bluetooth HC-05 modul. Testing result was got that average amounting were 0.065556 correction, and value of measuring uncertainty were ±0.120015678 with levels of trust 95 %. ","PeriodicalId":209968,"journal":{"name":"Jurnal Elektronika, Listrik, Telekomunikasi, Komputer, Informatika, Sistem Kontrol (J-Eltrik)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133808610","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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