Pub Date : 2023-05-30DOI: 10.31963/elekterika.v20i1.4242
Riesa Krisna Astuti Sakir
This study presents a test of the long short term memory (LSTM) algorithm on traffic prediction with multi edge server and cloud server architectures. IoT sensors located on the roadside such as cameras and location data on each driver are used and stored in the data center. When a driver sends a travel time request to a nearby edge server, traffic predictions will be made on the edge server or cloud server. Server selection is made based on the destination location of the driver's request. If the destination is in the edge server area, traffic predictions are made on the edge server. However, if the destination is in the cloud server area, traffic predictions are made on the cloud server. Then to predict traffic traffic is done with LSTM. following modeling is made with a density of 128 and a density of 256. By learning from previous traffic, LSTM with a greater density gets a proportion of errors, namely RMSE 10.78%, MAE 8.24%, and MAPE 19.87%.
本研究提出了一种长短期记忆(LSTM)算法在多边缘服务器和云服务器架构下的流量预测测试。位于路边的物联网传感器，如摄像头和每个司机的位置数据，被使用并存储在数据中心。当驾驶员向附近的边缘服务器发送旅行时间请求时，将在边缘服务器或云服务器上进行流量预测。服务器选择是基于驱动程序请求的目的地位置。如果目的地位于边缘服务器区域，则在边缘服务器上进行流量预测。但是，如果目的地位于云服务器区域，则在云服务器上进行流量预测。然后利用LSTM进行流量预测。下面的建模是用密度128和密度256。通过学习之前的流量，密度较大的LSTM得到的误差比例为RMSE 10.78%， MAE 8.24%， MAPE 19.87%。
{"title":"Pengujian Long-Short Term Memory (LSTM) Pada Prediksi Trafik Lalu Lintas Menggunakan Multi Server","authors":"Riesa Krisna Astuti Sakir","doi":"10.31963/elekterika.v20i1.4242","DOIUrl":"https://doi.org/10.31963/elekterika.v20i1.4242","url":null,"abstract":"This study presents a test of the long short term memory (LSTM) algorithm on traffic prediction with multi edge server and cloud server architectures. IoT sensors located on the roadside such as cameras and location data on each driver are used and stored in the data center. When a driver sends a travel time request to a nearby edge server, traffic predictions will be made on the edge server or cloud server. Server selection is made based on the destination location of the driver's request. If the destination is in the edge server area, traffic predictions are made on the edge server. However, if the destination is in the cloud server area, traffic predictions are made on the cloud server. Then to predict traffic traffic is done with LSTM. following modeling is made with a density of 128 and a density of 256. By learning from previous traffic, LSTM with a greater density gets a proportion of errors, namely RMSE 10.78%, MAE 8.24%, and MAPE 19.87%. ","PeriodicalId":316017,"journal":{"name":"Jurnal Teknologi Elekterika","volume":"59 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130525102","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 : 2023-05-30DOI: 10.31963/elekterika.v20i1.3592
Syaiful Rachman
Dalam perancangan ini dikembangkan sistem monitoring Sinkronisasi Paralel Sistem Tenaga Listrik Genset, sebuah sistem yang dapat memantau proses informasi meliputi arus, tegangan, cos phi, frekuensi, kVAr, kW, faktor daya, dan proses pemutusan beban otomatis pada Parallel Synchronization Generator and Monitoring menggunakan antarmuka PLC ke Human Machine Interface (HMI) yang menampilkan nilai pengukuran. Kontroler HMI, PLC, dan generator menggunakan komunikasi protokol Modbus untuk membaca register 450009 sampai 4000021 dari perangkat slave hasil monitoring data dari data logger merekam penggunaan beban listrik dari sistem monitoring hasil unit sinkronisasi telah bekerja dengan dua synchronous generator yang terhubung secara paralel diperoleh ketika koneksi paralel generator sinkron mencapai stabilitas. dalam hal itu, frekuensi dan saluran tegangan adalah 49,9 hingga 50 Hz 400 volt
{"title":"Perancangan Sistem Human Machine Interface (HMI) untuk Monitoring Daya Sinkronisasi Paralel Genset","authors":"Syaiful Rachman","doi":"10.31963/elekterika.v20i1.3592","DOIUrl":"https://doi.org/10.31963/elekterika.v20i1.3592","url":null,"abstract":"Dalam perancangan ini dikembangkan sistem monitoring Sinkronisasi Paralel Sistem Tenaga Listrik Genset, sebuah sistem yang dapat memantau proses informasi meliputi arus, tegangan, cos phi, frekuensi, kVAr, kW, faktor daya, dan proses pemutusan beban otomatis pada Parallel Synchronization Generator and Monitoring menggunakan antarmuka PLC ke Human Machine Interface (HMI) yang menampilkan nilai pengukuran. Kontroler HMI, PLC, dan generator menggunakan komunikasi protokol Modbus untuk membaca register 450009 sampai 4000021 dari perangkat slave hasil monitoring data dari data logger merekam penggunaan beban listrik dari sistem monitoring hasil unit sinkronisasi telah bekerja dengan dua synchronous generator yang terhubung secara paralel diperoleh ketika koneksi paralel generator sinkron mencapai stabilitas. dalam hal itu, frekuensi dan saluran tegangan adalah 49,9 hingga 50 Hz 400 volt","PeriodicalId":316017,"journal":{"name":"Jurnal Teknologi Elekterika","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116429011","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 : 2023-05-30DOI: 10.31963/elekterika.v20i1.4181
Yohanes Daud Suherman, Edilla Edilla
The hydrogen control system is a hydrogen control system in the HCl manufacturing process. This control is needed to control the presence of hydrogen over capacity or low capacity in the HCl burner, resulting in product failure. Hydrogen is one of the first steps for making HCl, which needs to be considered for its parameters, consisting of a control valve, flow transmitter, and pressure transmitter. In this study, a controller can be operated to adjust the hydrogen control valve line opening on the HCl burner. Then to find out the set point value of hydrogen entering the HCl burner, 2 transmitters measure flow and pressure. Furthermore, the signal measured by the transmitter will provide feedback so that the flow and pressure values appear on the controller. To ensure that the parameter data has been observed by comparison between the data on the system and the actual data in the field. From the observational data of this control system, the need for hydrogen for the initial stage of HCl production can be carried out within 1 hour with the control valve opening parameter of 34%, so that by opening the control valve it is known that the flow transmitter indication is 34 kg/hour and the transmitter pressure is 9kPa, so from flow and pressure indications can be used for later stages of the HCl manufacturing process.
{"title":"Sistem Kendali Hidrogen Pada HCl Burner Menggunakan Controller Yokogawa","authors":"Yohanes Daud Suherman, Edilla Edilla","doi":"10.31963/elekterika.v20i1.4181","DOIUrl":"https://doi.org/10.31963/elekterika.v20i1.4181","url":null,"abstract":"The hydrogen control system is a hydrogen control system in the HCl manufacturing process. This control is needed to control the presence of hydrogen over capacity or low capacity in the HCl burner, resulting in product failure. Hydrogen is one of the first steps for making HCl, which needs to be considered for its parameters, consisting of a control valve, flow transmitter, and pressure transmitter. In this study, a controller can be operated to adjust the hydrogen control valve line opening on the HCl burner. Then to find out the set point value of hydrogen entering the HCl burner, 2 transmitters measure flow and pressure. Furthermore, the signal measured by the transmitter will provide feedback so that the flow and pressure values appear on the controller. To ensure that the parameter data has been observed by comparison between the data on the system and the actual data in the field. From the observational data of this control system, the need for hydrogen for the initial stage of HCl production can be carried out within 1 hour with the control valve opening parameter of 34%, so that by opening the control valve it is known that the flow transmitter indication is 34 kg/hour and the transmitter pressure is 9kPa, so from flow and pressure indications can be used for later stages of the HCl manufacturing process.","PeriodicalId":316017,"journal":{"name":"Jurnal Teknologi Elekterika","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123958548","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 : 2022-11-30DOI: 10.31963/elekterika.v6i2.3688
S. Sofyan, Alamsyah Achmad, Ikhlashul Amal S P
Keandalan penyaluran energi listrik ke konsumen sangat dipengaruhi oleh sistem pendistribusiannya. Untuk itu diperlukan sistem distribusi energi listrik dengan keandalan yang tinggi. Karena manfaat dan fungsi suatu sistem tenaga listrik yang sangat vital dalam kehidupan sehari-hari, maka diperlukan sebuah sistem tenaga listrik yang andal untuk penyediaan dan pendistribusian tenaga listrik pada jaringan distribusi tenaga listrik. Tujuan penelitian ini adalah untuk menghitung tingkat keandalan dan sekaligus melakukan upaya untuk meningkatkan keandalan sistem distribusi 20 kV pada PT. PLN (Persero) ULP Kalebajeng dengan metode section technique, di mana nilai dari indeks kegagalan dari setiap peralatan utama sistem distribusi diperhitungkan untuk mencari nilai indeks keandalan sistem secara menyeluruh. Studi kasus dilakukan di PT. PLN (persero) ULP Kalebajeng. Pada tugas akhir ini, dilakukan studi peningkatan keandalan sistem distribusi 20 kV pada Penyulang. Tujuan yang ingin dicapai pada tugas akhir ini adalah sebagai evaluasi dalam memperbaiki kinerja peralatan yang ada pada Penyulang Pajalau. Metode yang digunakan antara lain pengumpulan data, pengolahan data, serta penganalisisan keandalan sistem distribusi 20 kV. Nilai indeks keandalan penyulang Pajalau yaitu SAIDI 22.348 jam/tahun dan SAIFI 4.494 kali/tahun. Hasil perhitungan dengan metode Section Technique nantinya akan dibandingkan dengan hasil dari simulasi ETAP setelah mengimplementasikan recloser pada penyulang
{"title":"Studi Peningkatan Keandalan Dengan Penambahan Recloser Pada Penyulang Pajalau Pt. Pln (Persero) Ulp Kalebajeng Dengan Metode Section Technique","authors":"S. Sofyan, Alamsyah Achmad, Ikhlashul Amal S P","doi":"10.31963/elekterika.v6i2.3688","DOIUrl":"https://doi.org/10.31963/elekterika.v6i2.3688","url":null,"abstract":"Keandalan penyaluran energi listrik ke konsumen sangat dipengaruhi oleh sistem pendistribusiannya. Untuk itu diperlukan sistem distribusi energi listrik dengan keandalan yang tinggi. Karena manfaat dan fungsi suatu sistem tenaga listrik yang sangat vital dalam kehidupan sehari-hari, maka diperlukan sebuah sistem tenaga listrik yang andal untuk penyediaan dan pendistribusian tenaga listrik pada jaringan distribusi tenaga listrik. Tujuan penelitian ini adalah untuk menghitung tingkat keandalan dan sekaligus melakukan upaya untuk meningkatkan keandalan sistem distribusi 20 kV pada PT. PLN (Persero) ULP Kalebajeng dengan metode section technique, di mana nilai dari indeks kegagalan dari setiap peralatan utama sistem distribusi diperhitungkan untuk mencari nilai indeks keandalan sistem secara menyeluruh. Studi kasus dilakukan di PT. PLN (persero) ULP Kalebajeng. Pada tugas akhir ini, dilakukan studi peningkatan keandalan sistem distribusi 20 kV pada Penyulang. Tujuan yang ingin dicapai pada tugas akhir ini adalah sebagai evaluasi dalam memperbaiki kinerja peralatan yang ada pada Penyulang Pajalau. Metode yang digunakan antara lain pengumpulan data, pengolahan data, serta penganalisisan keandalan sistem distribusi 20 kV. Nilai indeks keandalan penyulang Pajalau yaitu SAIDI 22.348 jam/tahun dan SAIFI 4.494 kali/tahun. Hasil perhitungan dengan metode Section Technique nantinya akan dibandingkan dengan hasil dari simulasi ETAP setelah mengimplementasikan recloser pada penyulang","PeriodicalId":316017,"journal":{"name":"Jurnal Teknologi Elekterika","volume":"234 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130323914","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 : 2022-11-30DOI: 10.31963/elekterika.v6i2.3527
Sarma Thaha, A. Indrawan, Yosua Januarius Pongkiding
As a provider of electricity services, PLN is required to provide service and supply of electricity with good quality, continuity, improvement and efficiency. Disturbances in distribution systems are short circuit faults between phases or ground phase faults. To protect properly, proper coordination of relay settings is required. Among the equipment in the protection system used in distribution lines are overcurrent relays (OCR) and ground fault relays (GFR). In this study, an analysis of the OCR and GFR settings will be carried out on a 20 kV cubicle at the Sanga-Sanga Substation, East Kalimantan, with the help of the DigSILENT Power Factory 15.1.7 application with a disturbance simulation at 10% and 90% of the feeder length. Based on the analysis results, it is obtained that the short circuit results of 3 phases, 2 phases, and 1 phase to the ground have a value that is not much different from the calculation, while the OCR setting for the outgoing relay is 0.8 A on the secondary side. TMS is 0.083 seconds while the relay is on the incoming side of 20 kV 1 A and TMS of 0.198 seconds. The GFR setting for the outgoing relay is 0.06 A on the secondary side, and TMS is 0.1 seconds, and the relay on the incoming side is 20 kV 0.015 A and TMS is 0.26 seconds).
作为电力服务的提供者，要求PLN提供优质、持续、改进和高效的服务和电力供应。配电系统中的扰动主要是相间短路故障或地相故障。为了正确保护，需要适当协调继电器设置。在配电线路保护系统中，有过流继电器(OCR)和接地故障继电器(GFR)。在本研究中，将在东加里曼丹Sanga-Sanga变电站的20 kV隔间上进行OCR和GFR设置分析，借助DigSILENT Power Factory 15.1.7应用程序，在馈线长度的10%和90%处进行干扰模拟。根据分析结果，得到3相、2相、1相对地的短路结果值与计算值相差不大，而出线继电器二次侧OCR整定值为0.8 a。继电器在20kv 1a进线侧时，TMS为0.083秒，TMS为0.198秒。出线继电器二次侧GFR设为0.06 A, TMS设为0.1 s，进线继电器20 kV 0.015 A, TMS设为0.26 s)。
{"title":"Analisis Sistem Koordinasi Proteksi Over Current Relay (Ocr) Dan Ground Fault Relay (Gfr) Tegangan 20 Kv Bay Trafo Pada Gardu Induk Sanga-Sanga Kalimantan Timur","authors":"Sarma Thaha, A. Indrawan, Yosua Januarius Pongkiding","doi":"10.31963/elekterika.v6i2.3527","DOIUrl":"https://doi.org/10.31963/elekterika.v6i2.3527","url":null,"abstract":"As a provider of electricity services, PLN is required to provide service and supply of electricity with good quality, continuity, improvement and efficiency. Disturbances in distribution systems are short circuit faults between phases or ground phase faults. To protect properly, proper coordination of relay settings is required. Among the equipment in the protection system used in distribution lines are overcurrent relays (OCR) and ground fault relays (GFR). In this study, an analysis of the OCR and GFR settings will be carried out on a 20 kV cubicle at the Sanga-Sanga Substation, East Kalimantan, with the help of the DigSILENT Power Factory 15.1.7 application with a disturbance simulation at 10% and 90% of the feeder length. Based on the analysis results, it is obtained that the short circuit results of 3 phases, 2 phases, and 1 phase to the ground have a value that is not much different from the calculation, while the OCR setting for the outgoing relay is 0.8 A on the secondary side. TMS is 0.083 seconds while the relay is on the incoming side of 20 kV 1 A and TMS of 0.198 seconds. The GFR setting for the outgoing relay is 0.06 A on the secondary side, and TMS is 0.1 seconds, and the relay on the incoming side is 20 kV 0.015 A and TMS is 0.26 seconds).","PeriodicalId":316017,"journal":{"name":"Jurnal Teknologi Elekterika","volume":"433 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132386229","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 : 2022-11-30DOI: 10.31963/elekterika.v6i2.3690
Mochamad Marte Ardhianto, Rudi Sumarwanto
Predictive maintenance is a treatment for the actual operation of the equipment to optimize the company's operations. The output of predictive program maintenance is data, this treatment includes the type of "condition based maintenance" where changes in the condition of the machine or equipment are detected so that proactive actions are taken before the occurrence of machine damage. The K-nearest Neighbor (K-NN) algorithm is a simple supervised machine learning algorithm that is used to solve problems based on classification and regression. K-NN works by finding the query distance and all database examples, selecting a certain number of examples (K) adjacent to the query, then selecting the frequent label (in classification) or the average label (in regression). The purpose of this algorithm is to classify new object conditions based on attributes and samples from the training database. So that a predictive analysis is carried out on the damage to generating equipment using the machine learning application method of the Nearest Neighbor type or the classification of conditions used to predict the age or condition of an equipment by modeling according to the standard Operation & Maintenance of equipment. By doing predictive analysis, maintenance will lead to condition based maintenance so that the KPI (Key Performance Indicator) of operating performance in the form of increasing values, such as Capacity Factor (CF), Equivalent Availbility Factor (EAF) becomes optimal and prevents the generator from tripping suddenly. which is called sudden outage frequency (SdOF), as well as more efficient maintenance costs.
{"title":"Analisa Predictive Berbasis Supervised Machine Learning Terhadap Kerusakan Peralatan Pembangkit","authors":"Mochamad Marte Ardhianto, Rudi Sumarwanto","doi":"10.31963/elekterika.v6i2.3690","DOIUrl":"https://doi.org/10.31963/elekterika.v6i2.3690","url":null,"abstract":"Predictive maintenance is a treatment for the actual operation of the equipment to optimize the company's operations. The output of predictive program maintenance is data, this treatment includes the type of \"condition based maintenance\" where changes in the condition of the machine or equipment are detected so that proactive actions are taken before the occurrence of machine damage. The K-nearest Neighbor (K-NN) algorithm is a simple supervised machine learning algorithm that is used to solve problems based on classification and regression. K-NN works by finding the query distance and all database examples, selecting a certain number of examples (K) adjacent to the query, then selecting the frequent label (in classification) or the average label (in regression). The purpose of this algorithm is to classify new object conditions based on attributes and samples from the training database. So that a predictive analysis is carried out on the damage to generating equipment using the machine learning application method of the Nearest Neighbor type or the classification of conditions used to predict the age or condition of an equipment by modeling according to the standard Operation & Maintenance of equipment. By doing predictive analysis, maintenance will lead to condition based maintenance so that the KPI (Key Performance Indicator) of operating performance in the form of increasing values, such as Capacity Factor (CF), Equivalent Availbility Factor (EAF) becomes optimal and prevents the generator from tripping suddenly. which is called sudden outage frequency (SdOF), as well as more efficient maintenance costs.","PeriodicalId":316017,"journal":{"name":"Jurnal Teknologi Elekterika","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123925863","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 : 2022-11-30DOI: 10.31963/elekterika.v6i2.3751
Muhammad Ruswandi Djalal, Imam Robandi
Penelitian ini mengusulkan pendekatan pemodelan untuk peramalan beban jangka pendek 24 jam berdasarkan logika fuzzy tipe-2. Dalam penelitian ini didapatkan suatu pendekatan dalam merancang model peramalan beban, dimana sebelumnya masih menggunakan logika fuzzy konvensional. Implementasi peramalan beban pada penelitian ini dilakukan pada sistem kelistrikan 150 kV Sulselrabar. Sistem kelistrikan Sulselrabar dalam perkembangannya mengalami perkembangan yang pesat, oleh karena itu diperlukan suatu penelitian yang dapat meningkatkan performansi sistem tersebut, salah satunya adalah studi peramalan beban jangka pendek. Sebagai data input digunakan data beban dari tahun 2010 sampai dengan tahun 2016 pada hari yang sama yaitu tanggal 8 Januari. Untuk melihat keakuratan hasil, dilakukan dua pendekatan, yaitu logika fuzzy tipe-1 yang dimodelkan menggunakan Simulink dan logika fuzzy tipe-2 dengan menggunakan m-file Matlab. Dari hasil analisis diperoleh Mean Percentage Error (MAPE) paling kecil dengan menggunakan metode Fuzzy Logic Type-2, dibandingkan dengan metode Fuzzy Logic Type-1. Dimana, MAPE untuk metode fuzzy logic tipe-1 adalah 2.1%, dan dengan menggunakan metode logika fuzzy tipe-2, MAPE adalah 1.7%.
{"title":"Pemodelan Peramalan Beban pada System Sulselrabar Menggunakan Tipe-2 Logika Fuzzy","authors":"Muhammad Ruswandi Djalal, Imam Robandi","doi":"10.31963/elekterika.v6i2.3751","DOIUrl":"https://doi.org/10.31963/elekterika.v6i2.3751","url":null,"abstract":"Penelitian ini mengusulkan pendekatan pemodelan untuk peramalan beban jangka pendek 24 jam berdasarkan logika fuzzy tipe-2. Dalam penelitian ini didapatkan suatu pendekatan dalam merancang model peramalan beban, dimana sebelumnya masih menggunakan logika fuzzy konvensional. Implementasi peramalan beban pada penelitian ini dilakukan pada sistem kelistrikan 150 kV Sulselrabar. Sistem kelistrikan Sulselrabar dalam perkembangannya mengalami perkembangan yang pesat, oleh karena itu diperlukan suatu penelitian yang dapat meningkatkan performansi sistem tersebut, salah satunya adalah studi peramalan beban jangka pendek. Sebagai data input digunakan data beban dari tahun 2010 sampai dengan tahun 2016 pada hari yang sama yaitu tanggal 8 Januari. Untuk melihat keakuratan hasil, dilakukan dua pendekatan, yaitu logika fuzzy tipe-1 yang dimodelkan menggunakan Simulink dan logika fuzzy tipe-2 dengan menggunakan m-file Matlab. Dari hasil analisis diperoleh Mean Percentage Error (MAPE) paling kecil dengan menggunakan metode Fuzzy Logic Type-2, dibandingkan dengan metode Fuzzy Logic Type-1. Dimana, MAPE untuk metode fuzzy logic tipe-1 adalah 2.1%, dan dengan menggunakan metode logika fuzzy tipe-2, MAPE adalah 1.7%.","PeriodicalId":316017,"journal":{"name":"Jurnal Teknologi Elekterika","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127183508","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 : 2022-11-30DOI: 10.31963/elekterika.v6i2.3805
Ashar Ar, H. Hamma, Wisna Saputri Alfira WS, Andarini Asri, A. Ardiyansyah
PLTGU Sengkang which is operated by PT. CEPA Sengkang with a total capacity of 315 MW. One of the important components in the PLTGU system is a generator. In a generator there are many problems that arise, including generator efficiency problems. The research that will be carried out is to determine the generator efficiency value and then determine how much the generator efficiency value increases. In finding the efficiency value by making daily and monthly loading curves using generator output power, generator input power data, generator nameplate and generator power losses at 25%, 50%, 75%, and 100% loading. In this study, taking a sample that lasted for 1 month (31 days) of generator efficiency data for each loading and comparing the actual with the generator specifications, the difference for loading 25% experienced a decrease in efficiency of 0.35%, for loading 50% experienced an efficiency increase of 0.12%, for loading 75% increased efficiency of 0.25% and for loading 100% increased efficiency of 0.32%. In this study the generator has experienced reverse power so that the efficiency of the generator has decreased. The average efficiency in May 2022 was 96.21%, with an average load of 29.96 MW and an average input power of 31.14 MW. Referring to the manual book Block 2 PLTGU PT. CEPA Sengkang is known that the generator efficiency value is by design divided into 4 loadings. For loading 25% efficiency is 96.6%, for loading 50% efficiency is 98.45%, for loading 75% efficiency is 98.82%, and for loading 100% efficiency is 98.93% and so that the optimum efficiency of the generator occurs at a load of 54.2 MW (loading 100 %) with a value of 99.62%.
{"title":"Analisis Efisiensi Generator Pada GT21 Blok 2 Pembangkit Listrik Tenaga Gas Dan Uap PT. CEPA Sengkang","authors":"Ashar Ar, H. Hamma, Wisna Saputri Alfira WS, Andarini Asri, A. Ardiyansyah","doi":"10.31963/elekterika.v6i2.3805","DOIUrl":"https://doi.org/10.31963/elekterika.v6i2.3805","url":null,"abstract":" PLTGU Sengkang which is operated by PT. CEPA Sengkang with a total capacity of 315 MW. One of the important components in the PLTGU system is a generator. In a generator there are many problems that arise, including generator efficiency problems. The research that will be carried out is to determine the generator efficiency value and then determine how much the generator efficiency value increases. In finding the efficiency value by making daily and monthly loading curves using generator output power, generator input power data, generator nameplate and generator power losses at 25%, 50%, 75%, and 100% loading. In this study, taking a sample that lasted for 1 month (31 days) of generator efficiency data for each loading and comparing the actual with the generator specifications, the difference for loading 25% experienced a decrease in efficiency of 0.35%, for loading 50% experienced an efficiency increase of 0.12%, for loading 75% increased efficiency of 0.25% and for loading 100% increased efficiency of 0.32%. In this study the generator has experienced reverse power so that the efficiency of the generator has decreased. The average efficiency in May 2022 was 96.21%, with an average load of 29.96 MW and an average input power of 31.14 MW. Referring to the manual book Block 2 PLTGU PT. CEPA Sengkang is known that the generator efficiency value is by design divided into 4 loadings. For loading 25% efficiency is 96.6%, for loading 50% efficiency is 98.45%, for loading 75% efficiency is 98.82%, and for loading 100% efficiency is 98.93% and so that the optimum efficiency of the generator occurs at a load of 54.2 MW (loading 100 %) with a value of 99.62%.","PeriodicalId":316017,"journal":{"name":"Jurnal Teknologi Elekterika","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115730164","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}
In the current digital transformation era, network providers have long relied on WAN technology to support the business communications of their multi-local companies; however, in terms of infrastructure, cost, and even effectiveness, WAN technology is no longer sufficient to meet the needs and demands of telecommunications customers. In addition, given the magnitude of the company's need for internet network connections, technology is also needed to manage the use of traffic from rental links in the company so that it can optimize bandwidth usage from the link itself. Therefore one of the technological innovations to improve information processes is cloud-based digital innovation such as SD-WAN Traffic Steering technology. In this paper, the SD-WAN network design will be carried out on FortiGate series 50e devices by implementing traffic steering technology which can adjust a link's traffic flow according to the client's wishes. The results of the data obtained indicate that the utilization of ISP links owned by companies (Lintasarta and MNC) has been able to be used optimally, as evidenced by the use of bandwidth on each link successfully used according to the desired settings, where the settings provided have also been adjusted according to parameters of the type of each ISP service so that functionally the existing service link can be used optimally by the compan
{"title":"Analasis Penerapan Teknologi Traffic Steering SD-WAN Menggunakan Perangkat FortiGate","authors":"Andi Dinda Nurul Fauziah, Hafsah Nirwana, Arni Litha, Ichsan Mahjud","doi":"10.31963/elekterika.v6i2.3478","DOIUrl":"https://doi.org/10.31963/elekterika.v6i2.3478","url":null,"abstract":"In the current digital transformation era, network providers have long relied on WAN technology to support the business communications of their multi-local companies; however, in terms of infrastructure, cost, and even effectiveness, WAN technology is no longer sufficient to meet the needs and demands of telecommunications customers. In addition, given the magnitude of the company's need for internet network connections, technology is also needed to manage the use of traffic from rental links in the company so that it can optimize bandwidth usage from the link itself. Therefore one of the technological innovations to improve information processes is cloud-based digital innovation such as SD-WAN Traffic Steering technology. In this paper, the SD-WAN network design will be carried out on FortiGate series 50e devices by implementing traffic steering technology which can adjust a link's traffic flow according to the client's wishes. The results of the data obtained indicate that the utilization of ISP links owned by companies (Lintasarta and MNC) has been able to be used optimally, as evidenced by the use of bandwidth on each link successfully used according to the desired settings, where the settings provided have also been adjusted according to parameters of the type of each ISP service so that functionally the existing service link can be used optimally by the compan","PeriodicalId":316017,"journal":{"name":"Jurnal Teknologi Elekterika","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122067427","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 : 2022-11-30DOI: 10.31963/elekterika.v6i2.3807
Suwarmiyati Suwarmiyati, Abil Wardana H. Masserang
The heart is an organ that never stops moving, even when humans sleep. The heart rate must constantly be monitored to determine whether our heart rate is average or not. The heart and humans are also not spared from checking body temperature. Because body temperature can indicate the presence or absence of disease in a person's body, in this study, the detector detects heart and body temperature with a monitoring graphic display that makes it easier for users/patients to detect heart detection (BPM) which is equipped with a graphic display and also body temperature which is also on the display screen. The research method used is an experimental method where the tool is made with a standard size of the original tool. Moreover, from the data collection results, it can be interpreted that the tool is feasible to use and follows medical device calibration standards with correction results for heart rate, namely 2.0%, 0.6%, and 1.0%.
{"title":"Rancang Bangun Alat Pentedeksi Detak Jantung Dan Suhu Tubuh Dengan Memonitoring Tampilan Grafik","authors":"Suwarmiyati Suwarmiyati, Abil Wardana H. Masserang","doi":"10.31963/elekterika.v6i2.3807","DOIUrl":"https://doi.org/10.31963/elekterika.v6i2.3807","url":null,"abstract":"The heart is an organ that never stops moving, even when humans sleep. The heart rate must constantly be monitored to determine whether our heart rate is average or not. The heart and humans are also not spared from checking body temperature. Because body temperature can indicate the presence or absence of disease in a person's body, in this study, the detector detects heart and body temperature with a monitoring graphic display that makes it easier for users/patients to detect heart detection (BPM) which is equipped with a graphic display and also body temperature which is also on the display screen. The research method used is an experimental method where the tool is made with a standard size of the original tool. Moreover, from the data collection results, it can be interpreted that the tool is feasible to use and follows medical device calibration standards with correction results for heart rate, namely 2.0%, 0.6%, and 1.0%.","PeriodicalId":316017,"journal":{"name":"Jurnal Teknologi Elekterika","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125403961","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：