ABSTRAKMenyeimbangkan objek dinamis yang tidak stabil adalah salah satu masalah yang paling relevan dalam pembangunan sistem kendali otomatis. Metode ini dapat menghasilkan penelitian tentang efek dari suatu sistem kendali otomatis, atau melakukan pengaturan kendali pada suatu plant. Pada penelitian ini, akan dijelaskan bagaimana merancang sebuah ball balancing table (BBT) dan mengimplementasikan sistem kontrol otomasi ke dalamnya dengan menggunakan metode Fuzzy Logic dan PID Controller. Pada penelitian ini didapatkan kesimpulan bahwa pemasangan kendali Fuzzy Logic dan PID Controller memiliki efektifitas paling bagus dibandingkan dengan kendali close-loop ataupun kendali Fuzzy Logic dan PID Controller yang tidak dipasangkan bersamaan. Penggunaan metode Fuzzy Logic dan PID Controller yang menggunakan parameter trial and error dimana memasukkan nilai tuning manual yang dipasangkan pada ball balancing table dan NI MyRIO yang dirancang menghasilkan lama waktu menuju steady state paling singkat yaitu selama 8,7 detik, overshoot paling rendah, dan error yang hanya sebesar 0,4 terhadap nilai koordinat sumbu X dan sumbu Y.Kata kunci: Ball Balancing Table, Fuzzy Logic, Kontrol PID, NI myRIO ABSTRACTBalancing unstable dynamic objects is one of the most relevant problems in the construction of automated control systems. This methode can provide research on the effects of an automatic control system, or carry out a control arrangement on a plant. In this study, will be explained how to design a ball balancing table (BBT) and implement an automation control system into it using Fuzzy Logic and PID Controls methods. And from this research it is concluded that the installation of Fuzzy Logic and PID Controller control has the best effectiveness compared to close-loop control or Fuzzy Logic and PID Controller that are not installed together. The application of the Fuzzy Logic Controller and PID method paired on the ball balancing table and NI MyRio that was designed resulted in the shortest steady state time of 8.7 seconds, the lowest overshoot, and an error of only 0.4 on the X-axis and Y-axis coordinate values.Keywords: Ball Balancing Table, Fuzzy Logic, PID Controller, NI myRIO
平衡不稳定动态物体是自动控制系统发展中最相关的问题之一。这种方法可以产生对自动控制系统的影响的研究，或者对平台进行控制设置。在本研究中，将解释如何设计一个圆球板(BBT)，并通过使用模糊的逻辑和PID控制器方法将自动控制系统应用于其。在这项研究中，得出的结论是，与近回路控制或模糊逻辑控制器的控制相比，其效果最好。使用参数的模糊逻辑方法和PID控制器尝试和错误的手动输入调音价值附着在哪里球平衡桌和NI MyRIO设计产生的最短时间进入稳定state university)即8.7秒,存在超最低,只有0.4万对价值的错误X轴和Y轴的坐标。关键词:平衡球，模糊的逻辑，控制PID, NI myRIO抽象的动态物体是自动控制系统中最相关的问题之一。这种方法可以提供研究汽车控制系统的效果，或者对植物进行控制控制。在这个研究中，将会揭示如何设计一个平衡的圆球和自动控制系统，使用模糊的逻辑和PID的方法。从这项研究中得出结论，模糊逻辑和PID控制器的安装有最有效的控制或模糊逻辑和PID控制器没有连接在一起。模糊逻辑控制器和PID的应用在球盘上分布的方法是8。7秒的持续时间，缺乏方向，只有0。4的x轴和y轴协调值。平衡桌，模糊逻辑，PID, NI myRIO
{"title":"Rancang Bangun Fuzzy-PID Controller pada Ball Balancing Table dengan Universal Joint berbasis NI MyRIO dan LabVIEW","authors":"HILDA KHOIRUNNISA, FITRIA SURYATINI, ADHITYA SUMARDI SUNARYA, AFAF FADHIL RIFAI, ANGGRAENI MULYADEWI, SENDI DIKA PRASENDA","doi":"10.26760/elkomika.v11i4.1089","DOIUrl":"https://doi.org/10.26760/elkomika.v11i4.1089","url":null,"abstract":"ABSTRAKMenyeimbangkan objek dinamis yang tidak stabil adalah salah satu masalah yang paling relevan dalam pembangunan sistem kendali otomatis. Metode ini dapat menghasilkan penelitian tentang efek dari suatu sistem kendali otomatis, atau melakukan pengaturan kendali pada suatu plant. Pada penelitian ini, akan dijelaskan bagaimana merancang sebuah ball balancing table (BBT) dan mengimplementasikan sistem kontrol otomasi ke dalamnya dengan menggunakan metode Fuzzy Logic dan PID Controller. Pada penelitian ini didapatkan kesimpulan bahwa pemasangan kendali Fuzzy Logic dan PID Controller memiliki efektifitas paling bagus dibandingkan dengan kendali close-loop ataupun kendali Fuzzy Logic dan PID Controller yang tidak dipasangkan bersamaan. Penggunaan metode Fuzzy Logic dan PID Controller yang menggunakan parameter trial and error dimana memasukkan nilai tuning manual yang dipasangkan pada ball balancing table dan NI MyRIO yang dirancang menghasilkan lama waktu menuju steady state paling singkat yaitu selama 8,7 detik, overshoot paling rendah, dan error yang hanya sebesar 0,4 terhadap nilai koordinat sumbu X dan sumbu Y.Kata kunci: Ball Balancing Table, Fuzzy Logic, Kontrol PID, NI myRIO ABSTRACTBalancing unstable dynamic objects is one of the most relevant problems in the construction of automated control systems. This methode can provide research on the effects of an automatic control system, or carry out a control arrangement on a plant. In this study, will be explained how to design a ball balancing table (BBT) and implement an automation control system into it using Fuzzy Logic and PID Controls methods. And from this research it is concluded that the installation of Fuzzy Logic and PID Controller control has the best effectiveness compared to close-loop control or Fuzzy Logic and PID Controller that are not installed together. The application of the Fuzzy Logic Controller and PID method paired on the ball balancing table and NI MyRio that was designed resulted in the shortest steady state time of 8.7 seconds, the lowest overshoot, and an error of only 0.4 on the X-axis and Y-axis coordinate values.Keywords: Ball Balancing Table, Fuzzy Logic, PID Controller, NI myRIO","PeriodicalId":31222,"journal":{"name":"Jurnal Elkomika","volume":"17 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135322972","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 : 2023-10-24DOI: 10.26760/elkomika.v11i4.919
FAUZAN AWWAL MUKHRODI, IKE FIBRIANI, KHAIRUL ANAM, ALI RIZAL CHAIDIR
ABSTRAKVerifikasi kekerabatan berbasis citra wajah merupakan salah satu penerapan sistem Artificial Intelligence yang berguna dalam kehidupan, misalnya untuk penyelidikan kriminal, analisis silsilah, dan lainnya. Perancangan sistem pengenalan wajah pada verifikasi kekerabatan dapat dilakukan menggunakan salah satu algoritma deep learning yaitu metode Convolutional Neural Network. Penelitian ini dilakukan dengan tujuan untuk mengetahui kinerja dari 3D ResNet-18 pada verifikasi kekerabatan berdasarkan sistem pengenalan wajah dan mengetahui kinerja 3D ResNet-18 saat menggunakan embedded system secara real time. Hasil penelitian kinerja ResNet-18 tanpa embedded system memperoleh nilai akurasi training sebesar 0,9771 menggunakan optimizer RMSprop dengan epoch 30 dan batch size 25. Pada pengujian kinerja real time ResNet-18, optimizer SGD berhasil pada ukuran batch size 10, 15, dan 25. Namun untuk pengujian pada perangkat Jetson Nano, optimizer RMSprop gagal akibat ukuran model yang terlalu besar.Kata kunci: embedded sistem, CNN, 3D Resnet18, RMSprop, kekerabatan ABSTRACTFace-based kinship verification is one of the applications of artificial intelligence systems that are useful in various aspects of life, such as criminal investigations, pedigree analysis, and more. The design of a face recognition system for kinship verification can be done using one of the deep learning algorithms, namely the convolutional neural network method. This research was conducted with the aim of determining the performance of 3D ResNet-18 in kinship verification based on face recognition systems and assessing the performance of 3D ResNet-18 when using an embedded system in real time. The results of the ResNet-18 performance research without an embedded system obtained a training accuracy of 0.9771 using the RMSprop optimizer with 30 epochs and a batch size of 25. In real-time performance testing of ResNet-18, the SGD optimizer succeeded with batch sizes of 10, 15, and 25. However, during testing on the Jetson Nano device, the RMSprop optimizer failed due to the size of the model being too large.Keywords: Embedded System, CNN, 3D Resnet-18, RMSprop, Kinship
基于面部图像的亲属关系验证是生活中重要的人工智能系统的应用之一，如刑事调查、家谱分析等。面部识别系统设计的硬度验证可以使用深度学习算法之一，即对位神经网络方法。本研究的目的是在基于面部识别系统的3D ResNet-18的硬度验证上了解面部识别系统的性能，并在实时使用嵌入式系统时了解ResNet-18的性能。研究结果，在没有嵌合系统的情况下，培训系统的准确性为0.9771，使用epoch 30和批号25的optimizer RMSprop获得0.9771。在real time ResNet-18性能测试中，optimizer SGD在大小批次10、15和25中都取得了成功。然而，对于Jetson Nano设备的测试，RMSprop光学设备的失败是由于模型尺寸过大。关键字:嵌入系统，CNN, 3D Resnet18, RMSprop，抽象性亲属关系验证是手段中有用的各种手段之一可以使用深度学习算法之一进行面部识别系统，namely神经通路网络方法。这项研究是由基于面部识别系统和评估的具有决定性的3D再现的意图进行的。再生18个表现研究的结果显示，使用30个epochs和25个批次的均衡器计算了0.9771次不嵌合系统的评分。在再生18号的实时性能测试中，SGD光学公司用第10、15和25批材料取得了成功。However，在测试Jetson纳米装置时，嵌入系统，CNN, 3D Resnet-18, RMSprop, Kinship
{"title":"Sistem Verifikasi Kekerabatan berbasis 3D ResNet-18 menggunakan Jetson Nano","authors":"FAUZAN AWWAL MUKHRODI, IKE FIBRIANI, KHAIRUL ANAM, ALI RIZAL CHAIDIR","doi":"10.26760/elkomika.v11i4.919","DOIUrl":"https://doi.org/10.26760/elkomika.v11i4.919","url":null,"abstract":"ABSTRAKVerifikasi kekerabatan berbasis citra wajah merupakan salah satu penerapan sistem Artificial Intelligence yang berguna dalam kehidupan, misalnya untuk penyelidikan kriminal, analisis silsilah, dan lainnya. Perancangan sistem pengenalan wajah pada verifikasi kekerabatan dapat dilakukan menggunakan salah satu algoritma deep learning yaitu metode Convolutional Neural Network. Penelitian ini dilakukan dengan tujuan untuk mengetahui kinerja dari 3D ResNet-18 pada verifikasi kekerabatan berdasarkan sistem pengenalan wajah dan mengetahui kinerja 3D ResNet-18 saat menggunakan embedded system secara real time. Hasil penelitian kinerja ResNet-18 tanpa embedded system memperoleh nilai akurasi training sebesar 0,9771 menggunakan optimizer RMSprop dengan epoch 30 dan batch size 25. Pada pengujian kinerja real time ResNet-18, optimizer SGD berhasil pada ukuran batch size 10, 15, dan 25. Namun untuk pengujian pada perangkat Jetson Nano, optimizer RMSprop gagal akibat ukuran model yang terlalu besar.Kata kunci: embedded sistem, CNN, 3D Resnet18, RMSprop, kekerabatan ABSTRACTFace-based kinship verification is one of the applications of artificial intelligence systems that are useful in various aspects of life, such as criminal investigations, pedigree analysis, and more. The design of a face recognition system for kinship verification can be done using one of the deep learning algorithms, namely the convolutional neural network method. This research was conducted with the aim of determining the performance of 3D ResNet-18 in kinship verification based on face recognition systems and assessing the performance of 3D ResNet-18 when using an embedded system in real time. The results of the ResNet-18 performance research without an embedded system obtained a training accuracy of 0.9771 using the RMSprop optimizer with 30 epochs and a batch size of 25. In real-time performance testing of ResNet-18, the SGD optimizer succeeded with batch sizes of 10, 15, and 25. However, during testing on the Jetson Nano device, the RMSprop optimizer failed due to the size of the model being too large.Keywords: Embedded System, CNN, 3D Resnet-18, RMSprop, Kinship","PeriodicalId":31222,"journal":{"name":"Jurnal Elkomika","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135322975","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}
ABSTRAKSistem pintu cerdas telah merevolusi kontrol akses dengan metode seperti pengenalan sidik jari, kata sandi, dan QR Code. Namun, tantangan seperti ketergantungan pada internet, keterlambatan pengiriman data, dan pembatasan penjadwalan tetap ada. Penelitian ini menerapkan Edge Computing pada sistem pintu cerdas berbasis IoT dengan QR Code dan menambahkan fitur penjadwalan. Tujuannya adalah meningkatkan respons, kinerja, dan fleksibilitas dengan meminimalkan keterlambatan dan pembatasan jaringan, serta memungkinkan akses pengguna sesuai jadwal yang ditentukan. Hasil pengujian menunjukkan variasi waktu akses dan status pintu dalam kondisi normal dan offline, dengan rata-rata keterlambatan 3,35 detik (normal) dan 3,01 detik (offline). Penelitian inimemiliki potensi untuk pengembangan sistem pintu cerdas yang lebih efisien dan responsif menggunakan Edge Computing, memberikan kontribusi pada sistem keamanan canggih dan terpercaya dengan kemampuan penjadwalan terintegrasi di berbagai lingkungan.Kata kunci: Edge Computing, Sistem Pintu Cerdas, QR Code, Internet of Things ABSTRACTSmart door systems have revolutionized access control with methods like fingerprint recognition, passwords, and QR Codes. However, challenges such as internet dependency, data transmission delays, and limited scheduling persist. This study implements Edge Computing in an IoT-based QR Code smart door system and introduces a scheduling feature. The objective is to enhance responsiveness, performance, and flexibility by minimizing delays and network limitations, while allowing user access based on predetermined schedules. Test results show variable access times and door statuses under normal and offline conditions, with average delays of 3.35 seconds (normal) and 3.01 seconds (offline). This research offers potential for a more efficient and responsive smart door system using Edge Computing, contributing to advanced and reliable security systems with integrated scheduling capabilities across diverse environments.Keywords: Edge Computing, Smart Door System, QR Code, Internet of Things
{"title":"Sistem Pintu Cerdas dengan QR Code berbasis Internet of Things sebagai Penerapan Edge Computing","authors":"MADAJABBAR PALAPA HAKIM, URAY RISTIAN, SUHARDI SUHARDI","doi":"10.26760/elkomika.v11i4.907","DOIUrl":"https://doi.org/10.26760/elkomika.v11i4.907","url":null,"abstract":"ABSTRAKSistem pintu cerdas telah merevolusi kontrol akses dengan metode seperti pengenalan sidik jari, kata sandi, dan QR Code. Namun, tantangan seperti ketergantungan pada internet, keterlambatan pengiriman data, dan pembatasan penjadwalan tetap ada. Penelitian ini menerapkan Edge Computing pada sistem pintu cerdas berbasis IoT dengan QR Code dan menambahkan fitur penjadwalan. Tujuannya adalah meningkatkan respons, kinerja, dan fleksibilitas dengan meminimalkan keterlambatan dan pembatasan jaringan, serta memungkinkan akses pengguna sesuai jadwal yang ditentukan. Hasil pengujian menunjukkan variasi waktu akses dan status pintu dalam kondisi normal dan offline, dengan rata-rata keterlambatan 3,35 detik (normal) dan 3,01 detik (offline). Penelitian inimemiliki potensi untuk pengembangan sistem pintu cerdas yang lebih efisien dan responsif menggunakan Edge Computing, memberikan kontribusi pada sistem keamanan canggih dan terpercaya dengan kemampuan penjadwalan terintegrasi di berbagai lingkungan.Kata kunci: Edge Computing, Sistem Pintu Cerdas, QR Code, Internet of Things ABSTRACTSmart door systems have revolutionized access control with methods like fingerprint recognition, passwords, and QR Codes. However, challenges such as internet dependency, data transmission delays, and limited scheduling persist. This study implements Edge Computing in an IoT-based QR Code smart door system and introduces a scheduling feature. The objective is to enhance responsiveness, performance, and flexibility by minimizing delays and network limitations, while allowing user access based on predetermined schedules. Test results show variable access times and door statuses under normal and offline conditions, with average delays of 3.35 seconds (normal) and 3.01 seconds (offline). This research offers potential for a more efficient and responsive smart door system using Edge Computing, contributing to advanced and reliable security systems with integrated scheduling capabilities across diverse environments.Keywords: Edge Computing, Smart Door System, QR Code, Internet of Things","PeriodicalId":31222,"journal":{"name":"Jurnal Elkomika","volume":"15 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135322465","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 : 2023-10-24DOI: 10.26760/elkomika.v11i4.945
RAIHAN FATURRAHMAN, YULI SUN HARIYANI, SUGONDO HADIYOSO
ABSTRAKMakanan jajanan tradisional Indonesia telah menjadi warisan budaya yang berharga dan penting. Namun di tengah kemajuan zaman, sebagian masyarakat menganggapnya ketinggalan dan beralih ke makanan modern. Sebagai bagian dari upaya untuk melestarikan dan membantu masyarakat terutama kaum muda untuk mengenali ragam jajanan tradisional Indonesia, maka penelitian ini bertujuan untuk mengklasifikasi jenis jajanan tradisional Indonesia secara otomatis berdasarkan citra dengan menggunakan arsitektur deep learning. Dalam penelitian ini, dilakukan penggunaan metode transfer learning untuk melatih ulang basenetwork, sehingga mampu mengenali citra jajanan tradisional Indonesia. Di antara tiga base network yang dilatih dan diuji, disimpulkan bahwa dengan menggunakan base-network mobilenetV2 menghasilkan akurasi uji sebesar 98%, tertinggi dibandingkan dengan menggunakan ResNet50 dan VGG16 yang menghasilkan akurasi uji 97.33% dan 93.33%.Kata kunci: jajanan tradisional indonesia, klasifikasi, deep learning, transfer learning ABSTRACTTraditional Indonesian snacks have become valuable and important cultural heritage. However, amidst the progress of time, some people consider them outdated and switch to modern foods. As part of an effort to preserve and help the community, especially the younger generation, to recognize various traditional Indonesian snacks, this research aims to automatically classify types of traditional Indonesian snacks based on images using deep learning architecture. In this study, transfer learning method was employed to retrain the base-network, enabling it to recognize images of traditional Indonesian snacks. Among the three base networks trained and tested, it was concluded that using the MobileNetV2 base-network resulted in a test accuracy of 98%, the highest compared to using ResNet50 and VGG16, which achieved test accuracies of 97.33% and 93.33% respectively.Keywords: Indoensian traditional snack, classification, deep learning, transfer learning
{"title":"Klasifikasi Jajanan Tradisional Indonesia berbasis Deep Learning dan Metode Transfer Learning","authors":"RAIHAN FATURRAHMAN, YULI SUN HARIYANI, SUGONDO HADIYOSO","doi":"10.26760/elkomika.v11i4.945","DOIUrl":"https://doi.org/10.26760/elkomika.v11i4.945","url":null,"abstract":"ABSTRAKMakanan jajanan tradisional Indonesia telah menjadi warisan budaya yang berharga dan penting. Namun di tengah kemajuan zaman, sebagian masyarakat menganggapnya ketinggalan dan beralih ke makanan modern. Sebagai bagian dari upaya untuk melestarikan dan membantu masyarakat terutama kaum muda untuk mengenali ragam jajanan tradisional Indonesia, maka penelitian ini bertujuan untuk mengklasifikasi jenis jajanan tradisional Indonesia secara otomatis berdasarkan citra dengan menggunakan arsitektur deep learning. Dalam penelitian ini, dilakukan penggunaan metode transfer learning untuk melatih ulang basenetwork, sehingga mampu mengenali citra jajanan tradisional Indonesia. Di antara tiga base network yang dilatih dan diuji, disimpulkan bahwa dengan menggunakan base-network mobilenetV2 menghasilkan akurasi uji sebesar 98%, tertinggi dibandingkan dengan menggunakan ResNet50 dan VGG16 yang menghasilkan akurasi uji 97.33% dan 93.33%.Kata kunci: jajanan tradisional indonesia, klasifikasi, deep learning, transfer learning ABSTRACTTraditional Indonesian snacks have become valuable and important cultural heritage. However, amidst the progress of time, some people consider them outdated and switch to modern foods. As part of an effort to preserve and help the community, especially the younger generation, to recognize various traditional Indonesian snacks, this research aims to automatically classify types of traditional Indonesian snacks based on images using deep learning architecture. In this study, transfer learning method was employed to retrain the base-network, enabling it to recognize images of traditional Indonesian snacks. Among the three base networks trained and tested, it was concluded that using the MobileNetV2 base-network resulted in a test accuracy of 98%, the highest compared to using ResNet50 and VGG16, which achieved test accuracies of 97.33% and 93.33% respectively.Keywords: Indoensian traditional snack, classification, deep learning, transfer learning","PeriodicalId":31222,"journal":{"name":"Jurnal Elkomika","volume":"23 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135322793","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 : 2023-10-24DOI: 10.26760/elkomika.v11i4.998
FITRIA SURYATINI, HADI SUPRIYANTO, ISMAIL ROKHIM, ABDUR ROHMAN HARITS MARTAWIREJA, AHMAD HUSEN
ABSTRAKKendali ketinggian air merupakan suatu sistem yang sering ditemukan di sebagian besar fasilitas industri. Kendali ketinggian air seringkali dihadapkan pada gangguan yang disebabkan perubahan aliran masuk serta perubahan laju pengeluaran air. Penelitian ini bertujuan untuk meningkatkan kendali ketinggian air dalam sistem dengan kendali Fuzzy PID dalam menghadapi variasi gangguan berupa perubahan laju pengeluaran air, serta mengimplementasikan pada kontroler PLC. Penelitian ini melibatkan pengujian kendali Fuzzy PID dan kendali PID dengan metode tuning Ziegler-Nichols 1. Variasi gangguan berupa keluaran pompa DC yang bisa diatur kecepatannya dari Output DA PLC resolusi 0-6000 yang dikonversi menjadi 0-100%. Hasil penelitian menunjukkan Fuzzy PID dapat diimplementasikan pada PLC dengan hasil yang minim overshoot, settling time yang lebih pendek rata-rata 17.23 detik sedangkan PID rata-rata 78,4 detik dan terdapat overshoot. Namun, Fuzzy PID cenderung memiliki rise time lebih lambat 1-2 detik daripada kendali PID.Kata kunci: PLC, Fuzzy PID, PID, Water Level, Ziegler-Nichols ABSTRACTWater level control is a system that is often found in most industrial facilities. Water level control is often faced with disturbances caused by changes in the inflow and changes in the rate of discharge of water. This study aims to improve the control of the water level in a system with Fuzzy PID control in dealing with variations in disturbances in the form of changes in the rate of water discharge, and to implement it on the PLC controller. This study involves testing Fuzzy PID control and PID control using the Ziegler-Nichols 1 tuning method. The disturbance variation is in the form of a speed-adjustable DC pump output from the PLC DA Output with a resolution of 0-6000 which is converted to 0-100%. The results showed that Fuzzy PID can be implemented on PLCs with minimal overshoot results, shorter settling time with an average of 17.23 seconds while the average PID is 78.4 seconds and there is overshoot. However, Fuzzy PID tends to have a slower rise time of 1-2 seconds than PID control.Keywords: PLC, Fuzzy PID, PID, Water Level, Ziegler-Nichols
水位控制是一个经常在大多数工业设施中发现的系统。对水位的控制经常受到入口变化和水流动流动变化的影响。本研究旨在通过模糊的PID控制提高系统中的水高度控制，处理水排放速度变化中断，并在PLC控制器上实施。该研究包括测试模糊的PID控制和通过Ziegler-Nichols 1调谐方法的PID控制。直流泵输出可调速度从出口DA PLC 0-6000分辨率转换为0-100%。研究表明，模糊的PID可以在PLC上执行，平均时间为17.23秒短，PID平均为78.4秒，有超导。然而，模糊的PID往往比PID的控制慢1-2秒。关键词:PLC，模糊的PID, PID, Water levels, Ziegler-Nichols ABSTRACTWater control是一个系统，它发现在最工业化的问题上。水的控制是十张脸，混乱是由水的变化和水的释放速率的变化引起的。这些研究包括在系统中植入模糊的PID控制，处理水中变化的变化，并在PLC控制器上实现。这种研究用Ziegler-Nichols 1调谐方法进行测试。混乱是在一种速度可调的直流泵输出的形式，其结果是0-6000的决心，其结果是0-100%。结果表明，这种模糊的PID可以在PLCs上执行，平均时间为17.23秒，而一般时间为78.4秒，无枪击。However，模糊的PID需要时间比PID时间长1-2秒。PLC，模糊的PID, PID, Water levels, Ziegler-Nichols
{"title":"Optimasi Kendali Ketinggian Air dengan Kontroler Fuzzy PID dalam Menghadapi Variabel Gangguan","authors":"FITRIA SURYATINI, HADI SUPRIYANTO, ISMAIL ROKHIM, ABDUR ROHMAN HARITS MARTAWIREJA, AHMAD HUSEN","doi":"10.26760/elkomika.v11i4.998","DOIUrl":"https://doi.org/10.26760/elkomika.v11i4.998","url":null,"abstract":"ABSTRAKKendali ketinggian air merupakan suatu sistem yang sering ditemukan di sebagian besar fasilitas industri. Kendali ketinggian air seringkali dihadapkan pada gangguan yang disebabkan perubahan aliran masuk serta perubahan laju pengeluaran air. Penelitian ini bertujuan untuk meningkatkan kendali ketinggian air dalam sistem dengan kendali Fuzzy PID dalam menghadapi variasi gangguan berupa perubahan laju pengeluaran air, serta mengimplementasikan pada kontroler PLC. Penelitian ini melibatkan pengujian kendali Fuzzy PID dan kendali PID dengan metode tuning Ziegler-Nichols 1. Variasi gangguan berupa keluaran pompa DC yang bisa diatur kecepatannya dari Output DA PLC resolusi 0-6000 yang dikonversi menjadi 0-100%. Hasil penelitian menunjukkan Fuzzy PID dapat diimplementasikan pada PLC dengan hasil yang minim overshoot, settling time yang lebih pendek rata-rata 17.23 detik sedangkan PID rata-rata 78,4 detik dan terdapat overshoot. Namun, Fuzzy PID cenderung memiliki rise time lebih lambat 1-2 detik daripada kendali PID.Kata kunci: PLC, Fuzzy PID, PID, Water Level, Ziegler-Nichols ABSTRACTWater level control is a system that is often found in most industrial facilities. Water level control is often faced with disturbances caused by changes in the inflow and changes in the rate of discharge of water. This study aims to improve the control of the water level in a system with Fuzzy PID control in dealing with variations in disturbances in the form of changes in the rate of water discharge, and to implement it on the PLC controller. This study involves testing Fuzzy PID control and PID control using the Ziegler-Nichols 1 tuning method. The disturbance variation is in the form of a speed-adjustable DC pump output from the PLC DA Output with a resolution of 0-6000 which is converted to 0-100%. The results showed that Fuzzy PID can be implemented on PLCs with minimal overshoot results, shorter settling time with an average of 17.23 seconds while the average PID is 78.4 seconds and there is overshoot. However, Fuzzy PID tends to have a slower rise time of 1-2 seconds than PID control.Keywords: PLC, Fuzzy PID, PID, Water Level, Ziegler-Nichols","PeriodicalId":31222,"journal":{"name":"Jurnal Elkomika","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135322977","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}
The distribution transformer turns high voltage into low voltage. On the secondary transformator, the voltage and current are sufficiently large that excessive heat dissipation occurs due to the appearance of electric retention at the point of secondary connection of the transformator to the output cable. This causes current imbalance and overheating, resulting in lost contact that disrupts power supply and voltage drop. Unfortunately, field inspections are carried out every six months and lost contact can occur at any time. So we suggested developing a real-time overheat detection tool on secondary bushing using a temperature classification method based on the Feed Forward Neural Network (FFNN) equipped with the Internet of Things. With FFNN, the system successfully classifies the temperature with a value of 0 for a temperature of 30 ̊ C-50 ̊ C, a value 0 for the temperature of 51°C-90 ̊ C that requires repair, and a value 1 for a temperatur above 90 ̊ C with a relay disconnect, then the system sends a real-time lost contact notification. Thus this tool increases the effectiveness of inspection and can be applied to reduce inspection actions directly.
{"title":"Distribution Transformer Secondary Bushing Temperature Detection Device using Feed Forward Neural Network","authors":"GALIH FEBRYANTA ASWA YUDHISTIRA, SUTEDJO SUTEDJO, RENNY RAKHMAWATI","doi":"10.26760/elkomika.v11i4.983","DOIUrl":"https://doi.org/10.26760/elkomika.v11i4.983","url":null,"abstract":"The distribution transformer turns high voltage into low voltage. On the secondary transformator, the voltage and current are sufficiently large that excessive heat dissipation occurs due to the appearance of electric retention at the point of secondary connection of the transformator to the output cable. This causes current imbalance and overheating, resulting in lost contact that disrupts power supply and voltage drop. Unfortunately, field inspections are carried out every six months and lost contact can occur at any time. So we suggested developing a real-time overheat detection tool on secondary bushing using a temperature classification method based on the Feed Forward Neural Network (FFNN) equipped with the Internet of Things. With FFNN, the system successfully classifies the temperature with a value of 0 for a temperature of 30 ̊ C-50 ̊ C, a value 0 for the temperature of 51°C-90 ̊ C that requires repair, and a value 1 for a temperatur above 90 ̊ C with a relay disconnect, then the system sends a real-time lost contact notification. Thus this tool increases the effectiveness of inspection and can be applied to reduce inspection actions directly.","PeriodicalId":31222,"journal":{"name":"Jurnal Elkomika","volume":"35 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135322973","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 : 2023-10-24DOI: 10.26760/elkomika.v11i4.892
NINDY PRATIWI ABUNG, BUDI HARSONO, KEVIN SUTANTO, EDDY WIJANTO
ABSTRAK Mesin Computer Numerical Control (CNC) telah umum digunakan saat ini, salah satunya dalam pembuatan Printed Circuit Board (PCB). Pada paper ini, mesin pencetak PCB berbasis image processing dirancang dengan menggunakan Raspberry Pi, dimana file jalur PCB yang dibuat dengan menggunakan aplikasi Eagle akan di-export menjadi bentuk image grayscale, dan disimpan dengan resolusi 300 dpi. Sistem yang dirancang memiliki kemampuan membaca dpi dan menghitung jumlah step untuk setiap piksel, serta menghasilkan koordinat jalur dan lubang pada image PCB. Selain untuk pengikisan jalur, alat ini juga dapat mengebor lubang pada PCB secara otomatis. Raspberry Pi digunakan untuk mengendalikan motor stepper agar dapat bergerak sesuai dengan koordinat image PCB yang telah diperoleh. Alat ini juga dilengkapi dengan graphical user interface (GUI) untuk mempermudah user dalam mengendalikan mesin CNC. Dari hasil yang didapatkan, data erosi strip PCB menunjukkan bahwa metode kompensasi lebar strip PCB yang direncanakan mencukupi karena lebih besar 0,1-0,2mm dari ukuran strip pada Eagle. Kata kunci: CNC, PCB, Image Processing, Printing and Drilling, Raspberry Pi ABSTRACT Computer numerical control (CNC) equipment is commonly used for the production of printed circuit boards (PCBs). In this paper, the PCB path file generated by the Eagle application will be exported as a grayscale image and saved with a resolution of 300 dpi for image processing-based PCB printing equipment. The system has the capacity to produce the path and hole coordinates on the PCB image, read dpi, and determine the number of steps for each pixel. This device has the ability to automatically drill holes on the PCB in addition to stripping the path. The stepper motor is managed by the Raspberry Pi and moved in accordance with the acquired PCB image coordinates. A graphical user interface (GUI) is included to make it simpler for users to operate the CNC machine. From the results, the PCB strip erosion data show that the planned PCB strip width compensation method is sufficient because it more than 0.1-0.2mm greater than the strip size on Eagle. Keywords: CNC, PCB, Image Processing, Printing and Drilling, Raspberry Pi
{"title":"Image Processing-based Automatic Printed Circuit Board Printing Machine","authors":"NINDY PRATIWI ABUNG, BUDI HARSONO, KEVIN SUTANTO, EDDY WIJANTO","doi":"10.26760/elkomika.v11i4.892","DOIUrl":"https://doi.org/10.26760/elkomika.v11i4.892","url":null,"abstract":"ABSTRAK Mesin Computer Numerical Control (CNC) telah umum digunakan saat ini, salah satunya dalam pembuatan Printed Circuit Board (PCB). Pada paper ini, mesin pencetak PCB berbasis image processing dirancang dengan menggunakan Raspberry Pi, dimana file jalur PCB yang dibuat dengan menggunakan aplikasi Eagle akan di-export menjadi bentuk image grayscale, dan disimpan dengan resolusi 300 dpi. Sistem yang dirancang memiliki kemampuan membaca dpi dan menghitung jumlah step untuk setiap piksel, serta menghasilkan koordinat jalur dan lubang pada image PCB. Selain untuk pengikisan jalur, alat ini juga dapat mengebor lubang pada PCB secara otomatis. Raspberry Pi digunakan untuk mengendalikan motor stepper agar dapat bergerak sesuai dengan koordinat image PCB yang telah diperoleh. Alat ini juga dilengkapi dengan graphical user interface (GUI) untuk mempermudah user dalam mengendalikan mesin CNC. Dari hasil yang didapatkan, data erosi strip PCB menunjukkan bahwa metode kompensasi lebar strip PCB yang direncanakan mencukupi karena lebih besar 0,1-0,2mm dari ukuran strip pada Eagle. Kata kunci: CNC, PCB, Image Processing, Printing and Drilling, Raspberry Pi ABSTRACT Computer numerical control (CNC) equipment is commonly used for the production of printed circuit boards (PCBs). In this paper, the PCB path file generated by the Eagle application will be exported as a grayscale image and saved with a resolution of 300 dpi for image processing-based PCB printing equipment. The system has the capacity to produce the path and hole coordinates on the PCB image, read dpi, and determine the number of steps for each pixel. This device has the ability to automatically drill holes on the PCB in addition to stripping the path. The stepper motor is managed by the Raspberry Pi and moved in accordance with the acquired PCB image coordinates. A graphical user interface (GUI) is included to make it simpler for users to operate the CNC machine. From the results, the PCB strip erosion data show that the planned PCB strip width compensation method is sufficient because it more than 0.1-0.2mm greater than the strip size on Eagle. Keywords: CNC, PCB, Image Processing, Printing and Drilling, Raspberry Pi","PeriodicalId":31222,"journal":{"name":"Jurnal Elkomika","volume":"32 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135321071","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 : 2023-10-24DOI: 10.26760/elkomika.v11i4.1061
ARBI YUDATAMA, TEDY RISMAWAN, SUHARDI SUHARDI
ABSTRAKPenelitian ini bertujuan membangun sistem Internet of Things (IoT) untuk pengendalian penyiraman otomatis pada perkebunan Jambu Biji Kristal di Pondok Paman Petani, Pontianak. Sistem ini memantau kelembaban tanah dan mengatur kendali penyiraman melalui aplikasi Android. Sistem ini diaplikasikan pada dua tanaman Jambu Biji Kristal. Hasil eksperimen menunjukkan sensor resistive soil moisture memiliki error rata-rata 0,97% dan 0,98% untuk dua tanaman Jambu Biji Kristal. Waktu respon katup solenoid valve pada penyiraman tanaman pertama adalah 1,35 detik saat terbuka dan 1,33 detik saat tertutup. Pada tanaman kedua, waktu respon katup saat terbuka adalah 1,41 detik dan saat tertutup adalah 1,32 detik. Waktu respon pompa air untuk dinyalakan adalah 1,38 detik dan untuk dimatikan adalah 1,31 detik. Dari hasil pengujian, sistem yang diusulkan dapat digunakan untuk memantau kelembaban tanah dan mengatur penyiraman.Kata kunci: Jambu Biji Kristal, Penyiraman, Internet of Things, Android ABSTRACTThis research aims to develop an Internet of Things (IoT) system for automated irrigation control in the Crystal Seed Guava plantation at Pondok Paman Petani, Pontianak. The system monitors soil moisture and regulates irrigation control through an Android application. This system was applied to two Crystal Seed Guava plants. The experimental outcomes reveal that the resistive soil moisture sensor has an average error of 0.97% and 0.98% for two Crystal Seed Guava plants, respectively. The solenoid valve response time for the first plant during irrigation is 1.35 seconds when open and 1.33 seconds when closed. For the second plant, the valve response time when open is 1.41 seconds and when closed is 1.32 seconds. The water pump activation response time is 1.38 seconds, while the deactivation response time is 1.31 seconds. From the test results, the proposed system can be used to monitor soil moisture and regulate watering.Keywords: Crystal Seed Guava, Irrigation, Internet of Things, Android
本研究的目的是在庞蒂亚克农民叔叔的小屋内建立一种新型水晶番石榴种植园的网络(许多)。该系统监控地面湿度，并通过Android应用程序设置洒水控制。该系统应用于两种晶体番石榴植物。实验结果显示，soil湿度电阻传感器平均为两种晶体番石榴作物误差为0.97%和0.98%。第一个工厂冲水的螺线管阀门响应时间为1.35秒，关闭时为1.33秒。在第二种作物中，阀反应时间为1.41秒，关闭时为1.32秒。打开水泵的响应时间是1.38秒，关闭时间是1.31秒。从测试结果来看，建议的系统可以用来监测土壤湿度和调节水带。关键词:番石榴晶体，浇水，互联网的东西，Android ABSTRACTThis research aims系统监控器soil moisture和调节irrigation控制通过一个Android应用程序。这个系统适用于两个水晶种子农场。实验结果显示，电阻土壤湿度传感器对两个水晶种子植物的平均误差为0.97%和0.98%。螺线管反应时间为第一次安装时为1.35秒，关闭时为1.33秒。对于第二次加时赛，开放时间是1.41秒，关闭时间是1.32秒。水泵反应时间是1.38秒，而关闭反应时间是1.31秒。从测试结果来看，建议系统可以用来监测土壤流动和调节watering。Keywords: Crystal Seed Guava, Irrigation, Internet of stuff, Android
{"title":"Sistem Pemantauan dan Kendali Penyiraman pada Budi Daya Buah Jambu Biji Kristal berbasis Internet of Things","authors":"ARBI YUDATAMA, TEDY RISMAWAN, SUHARDI SUHARDI","doi":"10.26760/elkomika.v11i4.1061","DOIUrl":"https://doi.org/10.26760/elkomika.v11i4.1061","url":null,"abstract":"ABSTRAKPenelitian ini bertujuan membangun sistem Internet of Things (IoT) untuk pengendalian penyiraman otomatis pada perkebunan Jambu Biji Kristal di Pondok Paman Petani, Pontianak. Sistem ini memantau kelembaban tanah dan mengatur kendali penyiraman melalui aplikasi Android. Sistem ini diaplikasikan pada dua tanaman Jambu Biji Kristal. Hasil eksperimen menunjukkan sensor resistive soil moisture memiliki error rata-rata 0,97% dan 0,98% untuk dua tanaman Jambu Biji Kristal. Waktu respon katup solenoid valve pada penyiraman tanaman pertama adalah 1,35 detik saat terbuka dan 1,33 detik saat tertutup. Pada tanaman kedua, waktu respon katup saat terbuka adalah 1,41 detik dan saat tertutup adalah 1,32 detik. Waktu respon pompa air untuk dinyalakan adalah 1,38 detik dan untuk dimatikan adalah 1,31 detik. Dari hasil pengujian, sistem yang diusulkan dapat digunakan untuk memantau kelembaban tanah dan mengatur penyiraman.Kata kunci: Jambu Biji Kristal, Penyiraman, Internet of Things, Android ABSTRACTThis research aims to develop an Internet of Things (IoT) system for automated irrigation control in the Crystal Seed Guava plantation at Pondok Paman Petani, Pontianak. The system monitors soil moisture and regulates irrigation control through an Android application. This system was applied to two Crystal Seed Guava plants. The experimental outcomes reveal that the resistive soil moisture sensor has an average error of 0.97% and 0.98% for two Crystal Seed Guava plants, respectively. The solenoid valve response time for the first plant during irrigation is 1.35 seconds when open and 1.33 seconds when closed. For the second plant, the valve response time when open is 1.41 seconds and when closed is 1.32 seconds. The water pump activation response time is 1.38 seconds, while the deactivation response time is 1.31 seconds. From the test results, the proposed system can be used to monitor soil moisture and regulate watering.Keywords: Crystal Seed Guava, Irrigation, Internet of Things, Android","PeriodicalId":31222,"journal":{"name":"Jurnal Elkomika","volume":"382 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135321076","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}
Early detection of Cardiovascular Disease (CVD) is needed to reduce the risk of death. Early detection of cardiovascular disease can be done using various methods, one of which is the Ankle Brachial Index (ABI) method. This method compares blood pressure between systoles on the hands and feet simultaneously. In this study, the ABI measuring instrument was made that could simultaneously measure the right and left parts of the body, a development from previous research that could only take measurements on one side of the body. With simultaneous measurements, the results will be more accurate and effective. The validation results of this tool, when compared with the sphygmomanometer, have an accuracy of 96.6%. Besides, patients and doctors can store and access examination history data through IoT platform.
{"title":"IoT-Based Early Detection of Cardiovascular Disease with Ankle Brachial Index Measurement for Right and Left Body Simultaneously","authors":"ERVIN MASITA DEWI, AWAN WAHYU SETIAWAN, SUGONDO HADIYOSO","doi":"10.26760/elkomika.v11i4.1032","DOIUrl":"https://doi.org/10.26760/elkomika.v11i4.1032","url":null,"abstract":"Early detection of Cardiovascular Disease (CVD) is needed to reduce the risk of death. Early detection of cardiovascular disease can be done using various methods, one of which is the Ankle Brachial Index (ABI) method. This method compares blood pressure between systoles on the hands and feet simultaneously. In this study, the ABI measuring instrument was made that could simultaneously measure the right and left parts of the body, a development from previous research that could only take measurements on one side of the body. With simultaneous measurements, the results will be more accurate and effective. The validation results of this tool, when compared with the sphygmomanometer, have an accuracy of 96.6%. Besides, patients and doctors can store and access examination history data through IoT platform.","PeriodicalId":31222,"journal":{"name":"Jurnal Elkomika","volume":"64 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135322979","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 : 2023-10-24DOI: 10.26760/elkomika.v11i4.1075
ANDI AMAR THAHARA, MARTIN CHOIRUL FATAH, IWA GARNIWA MULYANA, CHRISTIONO TIO, MIFTAHUL FIKRI
ABSTRAKBerdasarkan penelitian dengan judul “Electrical and Mechanical Properties of Fly Ash Filled Silicone Rubber for High Voltage Insulator” oleh Manjang dkk., (2015), telah dilakukan eksperimen uji karakteristik dielektrika fly ash sebagai filler pada isolator Silicone Rubber (SiR), namun belum adanya analisa optimasi komposisi kadar fly ash yang dilakukan, sehingga belum diperoleh nilai rekomendasi komposisi terbaik. Oleh karena itu, tujuan pada penelitian ini dilakukan studi lebih lanjut untuk menentukan nilai optimasi dari jenis komposisi pemanfaatan fly ash sebagai filler pada isolator SiR dengan metode analisa regresi kuadratik dan memperoleh model kuadrat komposisi fly as yang mengoptimalkan kekuatan dielektrika. Hasil optimasi komposisi fly ash pada pengujian sifat hidrofobik sebesar 20.69% dari komposisi fly ash dan pengujian permitivitas relatif sebesar 80% dari komposisi fly ash.Kata kunci: fly ash batu bara, filler, optimasi, regresi kuadratik, silicone rubber ABSTRACTBased on research entitled "Electrical and Mechanical Properties of Fly Ash Filled Silicone Rubber for High Voltage Insulators" by Manjang et al., (2015), experiments have been carried out to test the dielectric characteristics of fly ash as a filler on Silicone Rubber (SiR) insulators, but there is no the optimization analysis of the composition of the fly ash content was carried out, so that the best composition recommendation value has not been obtained. Therefore, the aim of this research is to conduct further studies to determine the optimization value of the type of composition utilizing fly ash as filler in SiR insulators using the quadratic regression analysis method and obtain a quadratic model of fly ash composition that optimizes dielectric strength. Optimization results of the fly ash composition in testing the hydrophobic properties of 20.69% of the fly ash composition and relative permittivity testing of 80% of the fly ash composition.Keywords: coal fly ash, filler, optimization, quadratic regression, silicone rubber
根据《飞灰电气与机械特性》，曼jang等公司的标题为“飞灰中充满硅橡胶橡胶绝缘材料”。(2015年),已经完成了测试实验dielektrika飞灰的特点作为填充物的硅胶绝缘橡胶(爵士),但还没有做的优化水平飞灰成分分析推荐,所以还没获得价值最好的成分。因此,这个研究的目的做进一步的研究价值,优化利用飞灰成分类型作为填充物的绝缘体kuadratik回归分析方法和模型获得爵士平方飞美国的优化dielektrika力量组成。优化结果飞灰成分组成的疏水性质测试高达20 . 69%飞灰和测试相对permitivitas飞灰成分的80%。关键词:飞灰煤、填充物,优化kuadratik回归,硅胶橡皮艇ABSTRACTBased on research炮友”电和机械性能的飞灰充满硅胶为《高电压Insulators橡皮艇Manjang et al . (2015), experiments有被carried out要测试《dielectric characteristics of飞灰as a在硅胶填充物,橡胶(先生)Insulators optimization分析》,但就没有composition of the飞灰内容是carried out,所以所谓的最佳组合没有被纳入。aim》这就是,这个研究是需要指挥更远studies of composition型optimization价值》到个重大utilizing飞灰用的填充物,在美国先生insulators quadratic regression飞灰的分析方法和模型得到a quadratic composition那optimizes dielectric力量。Optimization results of the飞灰composition in测试hydrophobic财产》20 . 69%苍蝇ash composition亲戚permittivity著作百科全书》《飞灰composition 80%的测试。安装:煤飞灰,填充物optimization quadratic regression,硅胶橡胶
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