Pub Date : 2023-10-24DOI: 10.26760/elkomika.v11i4.822
ILMI RIZKI IMADUDDIN, MUHAMMAD HASAN BASRI, RAUDHATUL JANNAH
ABSTRAKKonsumsi beras di Indonesia meningkat dan petani menghadapi kendala dalam mengeringkan gabah akibat kondisi iklim dan cuaca, sehingga dibuatlah alat pengering gabah. Penelitian ini dilakukan untuk mengetahui rancang bangun pada alat pengering gabah dalam proses pengeringan gabah padi. Metode penelitian yang digunakan adalah metode perancangan mesin pengering gabah tipe Rotary Dryer berbasis photovoltaic. Data yang diperoleh dari uji coba akan dianalisis secara kuantitatif menggunakan metode statistik untuk mengevaluasi kinerja alat pengering gabah. Hasil dari perancangan ini adalah sensor DHT22 pada mesin pengering gabah dapat dikatakan bekerja dengan baik dan normal berdasarkan hasil uji coba penurunan kadar air melalui variasi 1kg, 2kg, 3kg, 4kg, dan 5kg dengan ketentuan waktu dan setpoint suhu yang bervariasi pula.Kata kunci: kadar air, pengering gabah, Photovoltaic, Rotary Dryer, sensor DHT22 ABSTRACTRice consumption in Indonesia is increasing, and farmers are facing challenges in drying paddy due to climate and weather conditions. Therefore, a grain drying machine has been created. This research was conducted to determine the design of the grain dryer in the process of drying rice grain. The research method used is the method of designing a photovoltaic-based Rotary Dryer type grain drying machine. The data obtained from the experiment will be quantitatively analyzed using statistical methods to evaluate the performance of the grain drying tool. The result of this design is that the DHT22 sensor on the grain drying machine can be said to be working properly and normally based on the results of trials for reducing the water content through variations of 1kg, 2kg, 3kg, 4kg and 5kg with varying time and temperature setpoints.Keywords: moisture content, grain dryer, Photovoltaic, Rotary Dryer, DHT22 sensor
{"title":"Rancang Bangun Mesin Rotary Dryer Gabah","authors":"ILMI RIZKI IMADUDDIN, MUHAMMAD HASAN BASRI, RAUDHATUL JANNAH","doi":"10.26760/elkomika.v11i4.822","DOIUrl":"https://doi.org/10.26760/elkomika.v11i4.822","url":null,"abstract":"ABSTRAKKonsumsi beras di Indonesia meningkat dan petani menghadapi kendala dalam mengeringkan gabah akibat kondisi iklim dan cuaca, sehingga dibuatlah alat pengering gabah. Penelitian ini dilakukan untuk mengetahui rancang bangun pada alat pengering gabah dalam proses pengeringan gabah padi. Metode penelitian yang digunakan adalah metode perancangan mesin pengering gabah tipe Rotary Dryer berbasis photovoltaic. Data yang diperoleh dari uji coba akan dianalisis secara kuantitatif menggunakan metode statistik untuk mengevaluasi kinerja alat pengering gabah. Hasil dari perancangan ini adalah sensor DHT22 pada mesin pengering gabah dapat dikatakan bekerja dengan baik dan normal berdasarkan hasil uji coba penurunan kadar air melalui variasi 1kg, 2kg, 3kg, 4kg, dan 5kg dengan ketentuan waktu dan setpoint suhu yang bervariasi pula.Kata kunci: kadar air, pengering gabah, Photovoltaic, Rotary Dryer, sensor DHT22 ABSTRACTRice consumption in Indonesia is increasing, and farmers are facing challenges in drying paddy due to climate and weather conditions. Therefore, a grain drying machine has been created. This research was conducted to determine the design of the grain dryer in the process of drying rice grain. The research method used is the method of designing a photovoltaic-based Rotary Dryer type grain drying machine. The data obtained from the experiment will be quantitatively analyzed using statistical methods to evaluate the performance of the grain drying tool. The result of this design is that the DHT22 sensor on the grain drying machine can be said to be working properly and normally based on the results of trials for reducing the water content through variations of 1kg, 2kg, 3kg, 4kg and 5kg with varying time and temperature setpoints.Keywords: moisture content, grain dryer, Photovoltaic, Rotary Dryer, DHT22 sensor","PeriodicalId":31222,"journal":{"name":"Jurnal Elkomika","volume":"38 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135321075","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.v11i4.968
HERI ANDRIANTO, SURYANINGSIH SURYANINGSIH
ABSTRAKKebutuhan pangan yang terus meningkat, namun lahan pertanian yang semakin berkurang masih menjadi masalah. Salah satu solusi masalah tersebut yaitu dengan bercocok tanam secara hidroponik. Pada makalah ini telah dikembangkan sistem pemantauan dan pengendalian nutrisi pada tanaman hidroponik sistem wick berbasis IoT menggunakan NodeMCU. Pemantauan dan pengendalian nutrisi dilakukan melalui aplikasi smartphone android yang dibangun menggunakan MIT App Inventor. NodeMCU dan aplikasi smartphone android terhubung dengan realtime database Firebase. Pada makalah ini diamati juga hubungan antara kadar nutrisi dengan indeks klorofil daun tanaman pakcoy untuk mengetahui status nitrogen tanaman pakcoy. Dari hasil pengujian didapatkan hubungan nilai kadar nutrisi dengan indeks klorofil yaitu y = 0.0187x + 22.654 dengan nilai x sebagai nilai kadar nutrisi (ppm) dan y sebagai indeks klorofil (SPAD) dengan koefisien determinasi sebesar 0.9343. Error pembacaan kadar nutrisi menggunakan sensor Total Dissolved Solid (TDS) dibandingkan dengan TDS meter berkisar antara 0% sampai dengan 6%.Kata kunci: Firebase, hidroponik, IoT, klorofil, smartphone android ABSTRACTThe need for food continues to increase, but agricultural land is decreasing, which is still a problem. One solution to this problem is hydroponic farming. In this paper, a system for monitoring and controlling nutrients has been developed for wick system hydroponic plants based on IoT using NodeMCU. Nutrition monitoring and control is carried out through an android smartphone application built using the MIT App Inventor. NodeMCU and the android smartphone application are connected to the Firebase realtime database. This paper also examines the relationship between nutrient levels and the chlorophyll index of the pakcoy plant leaves to determine the nitrogen status of pakcoy plants. From the test results, it was found that the value of the nutrient content was related to the chlorophyll index, namely y = 0.0187x + 22.654, with the x value as the nutrient content value (ppm) and y as the chlorophyll index (SPAD) with a determination coefficient of 0.9343. The error in reading nutrient levels using a TDS sensor compared to a Total Dissolved Solid (TDS) meter ranges from 0% to 6%.Keywords: Firebase, hydroponics, IoT, chlorophyll, android smartphone
{"title":"Pemantauan dan Pengendalian Nutrisi pada Tanaman Hidroponik Sistem Wick berbasis IoT","authors":"HERI ANDRIANTO, SURYANINGSIH SURYANINGSIH","doi":"10.26760/elkomika.v11i4.968","DOIUrl":"https://doi.org/10.26760/elkomika.v11i4.968","url":null,"abstract":"ABSTRAKKebutuhan pangan yang terus meningkat, namun lahan pertanian yang semakin berkurang masih menjadi masalah. Salah satu solusi masalah tersebut yaitu dengan bercocok tanam secara hidroponik. Pada makalah ini telah dikembangkan sistem pemantauan dan pengendalian nutrisi pada tanaman hidroponik sistem wick berbasis IoT menggunakan NodeMCU. Pemantauan dan pengendalian nutrisi dilakukan melalui aplikasi smartphone android yang dibangun menggunakan MIT App Inventor. NodeMCU dan aplikasi smartphone android terhubung dengan realtime database Firebase. Pada makalah ini diamati juga hubungan antara kadar nutrisi dengan indeks klorofil daun tanaman pakcoy untuk mengetahui status nitrogen tanaman pakcoy. Dari hasil pengujian didapatkan hubungan nilai kadar nutrisi dengan indeks klorofil yaitu y = 0.0187x + 22.654 dengan nilai x sebagai nilai kadar nutrisi (ppm) dan y sebagai indeks klorofil (SPAD) dengan koefisien determinasi sebesar 0.9343. Error pembacaan kadar nutrisi menggunakan sensor Total Dissolved Solid (TDS) dibandingkan dengan TDS meter berkisar antara 0% sampai dengan 6%.Kata kunci: Firebase, hidroponik, IoT, klorofil, smartphone android ABSTRACTThe need for food continues to increase, but agricultural land is decreasing, which is still a problem. One solution to this problem is hydroponic farming. In this paper, a system for monitoring and controlling nutrients has been developed for wick system hydroponic plants based on IoT using NodeMCU. Nutrition monitoring and control is carried out through an android smartphone application built using the MIT App Inventor. NodeMCU and the android smartphone application are connected to the Firebase realtime database. This paper also examines the relationship between nutrient levels and the chlorophyll index of the pakcoy plant leaves to determine the nitrogen status of pakcoy plants. From the test results, it was found that the value of the nutrient content was related to the chlorophyll index, namely y = 0.0187x + 22.654, with the x value as the nutrient content value (ppm) and y as the chlorophyll index (SPAD) with a determination coefficient of 0.9343. The error in reading nutrient levels using a TDS sensor compared to a Total Dissolved Solid (TDS) meter ranges from 0% to 6%.Keywords: Firebase, hydroponics, IoT, chlorophyll, android smartphone","PeriodicalId":31222,"journal":{"name":"Jurnal Elkomika","volume":"20 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135322978","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}
Currently the industrial sector in Indonesia is growing rapidly which shifts agricultural land to narrow. This resulted in farmers needing to look for other land to continue to be able to produce their food. Hydroponics is a farming technique using water media that utilizes narrow land. One of the plants that is often used is lettuce. However, with the application of this hydroponic technique, the quality of lettuce plants is still not good due to lack of attention to maintenance, resulting in a lack of nutrition in lettuce plants. Therefore, this research will create a nutritional deficiency classification system in hydroponic lettuce through leaf images using a Convolutional Neural Network (CNN) based on the MobileNetV2 architecture. The results in this research test scenario obtained an accuracy of 88%. That way, it is hoped that it can help farmers to find out nutritional deficiencies in lettuce plants so that they can maintain the quality of lettuce production.
{"title":"Classification of Nutrient Deficiencies Based on Leaf Image in Hydroponic Lettuce using MobileNet Architecture","authors":"ANYELIA ADIANGGIALI, INDRARINI DYAH IRAWATI, SUGONDO HADIYOSO, ROHAYA LATIP","doi":"10.26760/elkomika.v11i4.958","DOIUrl":"https://doi.org/10.26760/elkomika.v11i4.958","url":null,"abstract":"Currently the industrial sector in Indonesia is growing rapidly which shifts agricultural land to narrow. This resulted in farmers needing to look for other land to continue to be able to produce their food. Hydroponics is a farming technique using water media that utilizes narrow land. One of the plants that is often used is lettuce. However, with the application of this hydroponic technique, the quality of lettuce plants is still not good due to lack of attention to maintenance, resulting in a lack of nutrition in lettuce plants. Therefore, this research will create a nutritional deficiency classification system in hydroponic lettuce through leaf images using a Convolutional Neural Network (CNN) based on the MobileNetV2 architecture. The results in this research test scenario obtained an accuracy of 88%. That way, it is hoped that it can help farmers to find out nutritional deficiencies in lettuce plants so that they can maintain the quality of lettuce production.","PeriodicalId":31222,"journal":{"name":"Jurnal Elkomika","volume":"6 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":"135322970","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.v11i4.1013
BUDHI ANTO, DAFA BAGUS PRATAMA
ABSTRAKArtikel ini memaparkan rancang bangun suatu alat pengisi muatan baterai (battery charger) kendaraan listrik jenis lithium-ion. Baterai yang digunakan berkapasitas 20-Ah dengan tegangan pengenal 48-V. Rangkaian battery charger menggunakan susunan kombinasi dari konverter AC-DC topologi penyearah satufasa jembatan dioda dan konverter DC-DC topologi jembatan-penuh yang dioperasikan pada frekuensi menengah (MF) yaitu sebesar 1 kHz. Rangkaian konverter jembatan-penuh dikendalikan oleh IC SG3526 yang mengatur lebar pulsa sinyal PWM yang diberikan kepada keempat MOSFET yang menyusun konverter tersebut. Karena dioperasikan pada frekuensi 1 kHz, konverter jembatan-penuh dapat menggunakan transformator yang intinya berbahan baja silikon berbentuk pelat tipis terlaminasi atau lebih dikenal dengan inti pelat E-I. Pengujian fungsional alat dilakukan dengan mengisi muatan baterai pada keadaan kapasitas awal 50% hingga penuh, menggunakan metode arus pengisian tetap sebesar 5-A. Hasil pengujian memperlihatkan bahwa diperlukan waktu 80 menit untuk mengisi baterai hingga penuh pada kondisi tersebut.Kata kunci: alat pengisi muatan baterai lithium-ion, kendaraan listrik, full-bridge DC-DC converter, frekuensi menengah, transformator inti baja silikon ABSTRACTThis manuscript describes the designing and making of a lithium-ion battery charger for battery electric vehicle applications. The battery has a capacity of 20-Ah with 48-V nominal voltage. The battery charger circuit uses the combination of an AC-DC converter in the form of a single-phase diode bridge rectifier and a full-bridge DC-DC converter, operating in medium frequency (MF) at 1 kHz. The full-bridge converter is controlled by a PWM controller SG3526 that sends its output to the 4 MOSFETs that built the converter. Due to operation at frequency of 1 kHz, the transformer’s core can use the laminated silicon steel sheet that is known as the E-I core. The battery is charged using the constant-current method by maintaining the charging current at a constant value. The functional test of the battery shows that by using 5-A constant current charging, the battery takes 80 minutes to its full condition from 50% capacity at the beginning.Keywords: lithium-ion battery charger, battery electric vehicles, medium frequency full-bridge DC-DC converter, silicon steel-core transformer
{"title":"Lithium-ion Battery Charger for BEV Applications Based on MF Full-bridge DC-DC Converter","authors":"BUDHI ANTO, DAFA BAGUS PRATAMA","doi":"10.26760/elkomika.v11i4.1013","DOIUrl":"https://doi.org/10.26760/elkomika.v11i4.1013","url":null,"abstract":"ABSTRAKArtikel ini memaparkan rancang bangun suatu alat pengisi muatan baterai (battery charger) kendaraan listrik jenis lithium-ion. Baterai yang digunakan berkapasitas 20-Ah dengan tegangan pengenal 48-V. Rangkaian battery charger menggunakan susunan kombinasi dari konverter AC-DC topologi penyearah satufasa jembatan dioda dan konverter DC-DC topologi jembatan-penuh yang dioperasikan pada frekuensi menengah (MF) yaitu sebesar 1 kHz. Rangkaian konverter jembatan-penuh dikendalikan oleh IC SG3526 yang mengatur lebar pulsa sinyal PWM yang diberikan kepada keempat MOSFET yang menyusun konverter tersebut. Karena dioperasikan pada frekuensi 1 kHz, konverter jembatan-penuh dapat menggunakan transformator yang intinya berbahan baja silikon berbentuk pelat tipis terlaminasi atau lebih dikenal dengan inti pelat E-I. Pengujian fungsional alat dilakukan dengan mengisi muatan baterai pada keadaan kapasitas awal 50% hingga penuh, menggunakan metode arus pengisian tetap sebesar 5-A. Hasil pengujian memperlihatkan bahwa diperlukan waktu 80 menit untuk mengisi baterai hingga penuh pada kondisi tersebut.Kata kunci: alat pengisi muatan baterai lithium-ion, kendaraan listrik, full-bridge DC-DC converter, frekuensi menengah, transformator inti baja silikon ABSTRACTThis manuscript describes the designing and making of a lithium-ion battery charger for battery electric vehicle applications. The battery has a capacity of 20-Ah with 48-V nominal voltage. The battery charger circuit uses the combination of an AC-DC converter in the form of a single-phase diode bridge rectifier and a full-bridge DC-DC converter, operating in medium frequency (MF) at 1 kHz. The full-bridge converter is controlled by a PWM controller SG3526 that sends its output to the 4 MOSFETs that built the converter. Due to operation at frequency of 1 kHz, the transformer’s core can use the laminated silicon steel sheet that is known as the E-I core. The battery is charged using the constant-current method by maintaining the charging current at a constant value. The functional test of the battery shows that by using 5-A constant current charging, the battery takes 80 minutes to its full condition from 50% capacity at the beginning.Keywords: lithium-ion battery charger, battery electric vehicles, medium frequency full-bridge DC-DC converter, silicon steel-core transformer","PeriodicalId":31222,"journal":{"name":"Jurnal Elkomika","volume":"57 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135322974","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}
ABSTRAKPenggunaan panel surya sebagai sumber energi terbarukan membutuhkan baterai sebagai tempat penyimpanan energi. Penggunaan baterai secara terus menerus, dapat menyebabkan pengurangan kapasitas dan penurunan performa. Untuk mengatasi permasalahan tersebut, diperlukan sistem estimasi nilai State of Charge (SOC) pada baterai yang berfungsi untuk mengontrol kondisi charge, agar performa baterai tetap optimal. Pada penelitian dikembangan suatu sistem estimasi SOC pada baterai jenis lead acid, dengan metode algoritma Elman Recurrent Neural Network (ERNN). Keunggulan yang terkait dengan metode ERNN meliputi proses iterasi menjadi lebih cepat, peningkatan kecepatan pembaruan parameter, dan pencapaian konvergensi yang lebih cepat. Hasil dari penelitian estimasi SOC pada baterai lead acid 12V, 12Ah dengan menggunakan algoritma ERNN sebesar 0.101% sedangkan dengan algoritma Feedforward Backpropagation sebesar 0.767%. Sehingga dapat disimpulkan bahwa algoritma ERNN lebih efisien dalam mengestimasi nilai SOC pada baterai lead acid.Kata kunci: Baterai, Elman Recurrent Neural Network, Panel Surya, State of Charge; Lead Acid ABSTRACTUsing solar panels as a renewable energy source requires batteries as energy storage. Continuous use of batteries can result in reduced capacity and performance degradation. Based on these problems, a State of Charge (SOC) estimation system is needed for the battery to control charge conditions so that battery performance remains optimal. In this research, a SOC estimation system was developed for lead acid battery using the Elman Recurrent Neural Network (ERNN) algorithm. The advantage of the ERNN method is that the iteration process is faster, the parameter update speed is increased, and convergence is faster. The results of the SOC estimation for a 12V, 12Ah lead acid battery using the ERNN algorithm were 0.101%, while the Feedforward Backpropagation algorithm resulted in 0.767%. The ERNN algorithm is more efficient in estimating the SOC value of a lead acid battery.Keywords: Battery, Elman Recurrent Neural Network, Solar Panel, State of Charge, Lead Acid
{"title":"Estimasi State of Charge pada Baterai Lead Acid menggunakan Elman Recurrent Neural Network","authors":"RENNY RAKHMAWATI, SUTEDJO SUTEDJO, FITROTIN NAFISA OKTAVIANI, IRIANTO IRIANTO, DIAH SEPTI YANARATRI, AHMAD FIRYAL ADILA","doi":"10.26760/elkomika.v11i4.864","DOIUrl":"https://doi.org/10.26760/elkomika.v11i4.864","url":null,"abstract":"ABSTRAKPenggunaan panel surya sebagai sumber energi terbarukan membutuhkan baterai sebagai tempat penyimpanan energi. Penggunaan baterai secara terus menerus, dapat menyebabkan pengurangan kapasitas dan penurunan performa. Untuk mengatasi permasalahan tersebut, diperlukan sistem estimasi nilai State of Charge (SOC) pada baterai yang berfungsi untuk mengontrol kondisi charge, agar performa baterai tetap optimal. Pada penelitian dikembangan suatu sistem estimasi SOC pada baterai jenis lead acid, dengan metode algoritma Elman Recurrent Neural Network (ERNN). Keunggulan yang terkait dengan metode ERNN meliputi proses iterasi menjadi lebih cepat, peningkatan kecepatan pembaruan parameter, dan pencapaian konvergensi yang lebih cepat. Hasil dari penelitian estimasi SOC pada baterai lead acid 12V, 12Ah dengan menggunakan algoritma ERNN sebesar 0.101% sedangkan dengan algoritma Feedforward Backpropagation sebesar 0.767%. Sehingga dapat disimpulkan bahwa algoritma ERNN lebih efisien dalam mengestimasi nilai SOC pada baterai lead acid.Kata kunci: Baterai, Elman Recurrent Neural Network, Panel Surya, State of Charge; Lead Acid ABSTRACTUsing solar panels as a renewable energy source requires batteries as energy storage. Continuous use of batteries can result in reduced capacity and performance degradation. Based on these problems, a State of Charge (SOC) estimation system is needed for the battery to control charge conditions so that battery performance remains optimal. In this research, a SOC estimation system was developed for lead acid battery using the Elman Recurrent Neural Network (ERNN) algorithm. The advantage of the ERNN method is that the iteration process is faster, the parameter update speed is increased, and convergence is faster. The results of the SOC estimation for a 12V, 12Ah lead acid battery using the ERNN algorithm were 0.101%, while the Feedforward Backpropagation algorithm resulted in 0.767%. The ERNN algorithm is more efficient in estimating the SOC value of a lead acid battery.Keywords: Battery, Elman Recurrent Neural Network, Solar Panel, State of Charge, Lead Acid","PeriodicalId":31222,"journal":{"name":"Jurnal Elkomika","volume":"61 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":"135322976","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}
ABSTRAKWireless Sensor Networ (WSN) merupakan jaringan nirkabel terdiri dari kumpulan node sensor tersebar di lingkungan observasi, saling berkomunikasi sesuai dengan algoritma komunikasi. Salah satu penerapan WSN adalah lokalisasi berbasis RSSI. RSSI merupakan hasil lokalisasi yang bersifat fluktuatif disebabkan oleh fenomena multipath fading, sehingga berpengaruh terhadap hasil lokalisasi. Artikel ini menerapkan Filter Kalman (FK) untuk lokalisasi Outdoor berbasis RSSI dengan komunikasi LoRa untuk lima Node Diam (ND) dan empat Node Anchor (NA). Pengujiannya terdiri dari membandingkan FK dengan tanpa FK, dan FK dengan metode Normalisasi. FK dapat memperbaiki akurasi pada estimasi jarak dan posisi. FK memperbaiki akurasi estimasi jarak sebesar 0,57% untuk ND1; 0,19% untuk ND2; 4,59% untuk ND3; 0,73% untuk ND4 dan 20,11% untuk ND5. Pada estimasi posisi, FK dapat meningkatkan akurasi sebesar 2,45% untuk ND1; 11,19% untuk ND2; 6,03% untuk ND3; 7,64% untuk ND4; dan 5,42% untuk ND5. Selain itu, FK dapat memperbaiki akurasi 15,94% untuk ND1; 3,41% untuk ND 2 dan 15,76% untuk ND 4 terhadap metode Normalisasi.Kata kunci: Filter Kalman, Localization,LoRa, RSSI, Wireless Sensor Network ABSTRACTWireless Sensor Network (WSN) is a wireless network consisting of sensor nodes spread across an observation environment, communicating with others separately according to a communication algorithm. In addition, one of the WSN applications is RSSI-based localization. RSSI is the development of localization which fluctuates due to the multipath fading phenomenon, thus affecting the localization results. This article executes a Kalman Filter (KF) for RSSI-based Outdoor localization with LoRa communication for five Diam Nodes (ND) and four Anchor Nodes (NA). The experiment involves comparing KF with neither KF nor the Normalization method. KF can improve the accuracy of distance and location estimation. FK increases the distance estimation accuracy by 0,57% for ND1; 0,19% for ND2; 4,59% for ND3; 0,73% for ND4; and 20,11% for ND5. For ND1, ND2, ND3, ND4, and ND5, KF can improve position estimation accuracy by 2,45%, 11,19%, 6,03%, 7,64%, 5,42%, and 2,45%, respectively. In addition, KF can increase accuracy by 15,94% for ND1, 3,41% for ND2, and 15,76% for ND4 in comparison to the Normalization approach.Keywords: Kalman Filter, Localization, LoRa, RSSI, Wireless Sensor Network
{"title":"Penerapan Filter Kalman untuk Estimasi Jarak dan Posisi pada Lokalisasi Outdoor berbasis RSSI dengan Komunikasi LoRa","authors":"MUSAYYANAH MUSAYYANAH, CHARISMA DIMAS AFFANDI, KRISTIN LEBDANINGRUM","doi":"10.26760/elkomika.v11i4.849","DOIUrl":"https://doi.org/10.26760/elkomika.v11i4.849","url":null,"abstract":"ABSTRAKWireless Sensor Networ (WSN) merupakan jaringan nirkabel terdiri dari kumpulan node sensor tersebar di lingkungan observasi, saling berkomunikasi sesuai dengan algoritma komunikasi. Salah satu penerapan WSN adalah lokalisasi berbasis RSSI. RSSI merupakan hasil lokalisasi yang bersifat fluktuatif disebabkan oleh fenomena multipath fading, sehingga berpengaruh terhadap hasil lokalisasi. Artikel ini menerapkan Filter Kalman (FK) untuk lokalisasi Outdoor berbasis RSSI dengan komunikasi LoRa untuk lima Node Diam (ND) dan empat Node Anchor (NA). Pengujiannya terdiri dari membandingkan FK dengan tanpa FK, dan FK dengan metode Normalisasi. FK dapat memperbaiki akurasi pada estimasi jarak dan posisi. FK memperbaiki akurasi estimasi jarak sebesar 0,57% untuk ND1; 0,19% untuk ND2; 4,59% untuk ND3; 0,73% untuk ND4 dan 20,11% untuk ND5. Pada estimasi posisi, FK dapat meningkatkan akurasi sebesar 2,45% untuk ND1; 11,19% untuk ND2; 6,03% untuk ND3; 7,64% untuk ND4; dan 5,42% untuk ND5. Selain itu, FK dapat memperbaiki akurasi 15,94% untuk ND1; 3,41% untuk ND 2 dan 15,76% untuk ND 4 terhadap metode Normalisasi.Kata kunci: Filter Kalman, Localization,LoRa, RSSI, Wireless Sensor Network ABSTRACTWireless Sensor Network (WSN) is a wireless network consisting of sensor nodes spread across an observation environment, communicating with others separately according to a communication algorithm. In addition, one of the WSN applications is RSSI-based localization. RSSI is the development of localization which fluctuates due to the multipath fading phenomenon, thus affecting the localization results. This article executes a Kalman Filter (KF) for RSSI-based Outdoor localization with LoRa communication for five Diam Nodes (ND) and four Anchor Nodes (NA). The experiment involves comparing KF with neither KF nor the Normalization method. KF can improve the accuracy of distance and location estimation. FK increases the distance estimation accuracy by 0,57% for ND1; 0,19% for ND2; 4,59% for ND3; 0,73% for ND4; and 20,11% for ND5. For ND1, ND2, ND3, ND4, and ND5, KF can improve position estimation accuracy by 2,45%, 11,19%, 6,03%, 7,64%, 5,42%, and 2,45%, respectively. In addition, KF can increase accuracy by 15,94% for ND1, 3,41% for ND2, and 15,76% for ND4 in comparison to the Normalization approach.Keywords: Kalman Filter, Localization, LoRa, RSSI, Wireless Sensor Network","PeriodicalId":31222,"journal":{"name":"Jurnal Elkomika","volume":"21 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":"135321072","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}
ABSTRAKRadio Detection and Ranging (RADAR) merupakan teknologi yang berfungsi untuk mendeteksi, mengukur jarak dan memetakan objek. Salah satu jenis sistem radar adalah sistem radar cuaca yang mempunyai frekuensi C band dengan rentang 5.250 – 5.725 GHz. Komponen utama dalam sistem radar adalah antena. Antena mikrostrip memiliki ukuran kecil, tipis dan mudah diintegrasikan. Namun memiliki masalah bandwidth yang rendah yaitu sebesar 3-5%. Untuk meningkatkan bandwidth antena mikrostrip ini digunakan metode multilayer parasitik. Pada penelitian ini berhasil diperoleh peningkatan bandwidth pada hasil simulasi sebesar 7.1%. Sedangkan setelah realisasi diperoleh peningkatan bandwidth sebesar 39.6%. Pada hasil realisasi antena mikrostrip multilayer parasitik pada frekuensi C band radar cuaca diperoleh hasil pengukuran band frekuensi 5.187 – 5.912 GHz, bandwidth 725.8 MHz, gain 6.99 dB dan pola radiasi unidireksional.Kata kunci: Antena Mikrostrip, C Band, Multilayer, Parasitik, Radar Cuaca ABSTRACTRadio Detection and Ranging (RADAR) is a technology that functions to detect, measure distance and map objects. One type of radar system is a weather radar system that has a C band frequency with a range of 5,250 - 5,725 GHz. The main component in a radar system is the antenna. Microstrip antennas are small, thin and easy to integrate. However, it has a low bandwidth problem of 3-5%. To increase the bandwidth of this microstrip antenna, the parasitic multilayer method is used. In this study, an increase in bandwidth was successfully obtained in simulation results of 7.1%. Meanwhile, after realization, an increase in bandwidth of 39.6% was obtained. In the realization of the parasitic multilayer microstrip antenna at the C band frequency of the weather radar, the measurement results of the frequency band 5.187 - 5.912 GHz, bandwidth 725.8 MHz, gain 6.99 dB and unidirectional radiation pattern were obtained.Keywords: Microstrip Antenna, C Band, Multilayer, Parasitic, Weather Radar
{"title":"Antena Mikrostrip Multilayer Parasitik pada Frekuensi C Band Radar Cuaca","authors":"HANNY MADIAWATI, RIDWAN RAHMANSYAH, ASEP BARNAS SIMANJUNTAK","doi":"10.26760/elkomika.v11i4.933","DOIUrl":"https://doi.org/10.26760/elkomika.v11i4.933","url":null,"abstract":"ABSTRAKRadio Detection and Ranging (RADAR) merupakan teknologi yang berfungsi untuk mendeteksi, mengukur jarak dan memetakan objek. Salah satu jenis sistem radar adalah sistem radar cuaca yang mempunyai frekuensi C band dengan rentang 5.250 – 5.725 GHz. Komponen utama dalam sistem radar adalah antena. Antena mikrostrip memiliki ukuran kecil, tipis dan mudah diintegrasikan. Namun memiliki masalah bandwidth yang rendah yaitu sebesar 3-5%. Untuk meningkatkan bandwidth antena mikrostrip ini digunakan metode multilayer parasitik. Pada penelitian ini berhasil diperoleh peningkatan bandwidth pada hasil simulasi sebesar 7.1%. Sedangkan setelah realisasi diperoleh peningkatan bandwidth sebesar 39.6%. Pada hasil realisasi antena mikrostrip multilayer parasitik pada frekuensi C band radar cuaca diperoleh hasil pengukuran band frekuensi 5.187 – 5.912 GHz, bandwidth 725.8 MHz, gain 6.99 dB dan pola radiasi unidireksional.Kata kunci: Antena Mikrostrip, C Band, Multilayer, Parasitik, Radar Cuaca ABSTRACTRadio Detection and Ranging (RADAR) is a technology that functions to detect, measure distance and map objects. One type of radar system is a weather radar system that has a C band frequency with a range of 5,250 - 5,725 GHz. The main component in a radar system is the antenna. Microstrip antennas are small, thin and easy to integrate. However, it has a low bandwidth problem of 3-5%. To increase the bandwidth of this microstrip antenna, the parasitic multilayer method is used. In this study, an increase in bandwidth was successfully obtained in simulation results of 7.1%. Meanwhile, after realization, an increase in bandwidth of 39.6% was obtained. In the realization of the parasitic multilayer microstrip antenna at the C band frequency of the weather radar, the measurement results of the frequency band 5.187 - 5.912 GHz, bandwidth 725.8 MHz, gain 6.99 dB and unidirectional radiation pattern were obtained.Keywords: Microstrip Antenna, C Band, Multilayer, Parasitic, Weather Radar","PeriodicalId":31222,"journal":{"name":"Jurnal Elkomika","volume":"43 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135321074","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.v11i4.834
RICHI ILHAM, HAKIMUL BATIH
ABSTRAKPemerintah masih tetap akan melakukan implementasi PLTS Atap pada 30% dari luas atap bangunan/gedung pemerintah sedangkan implementasi peraturan Menteri ESDM tentang PLTS Atap yang masih tertunda atau tidak maksimal dikarenakan ketidakpastian yang tinggi dari dampak implementasinya atas demand PLN. Terkait itu perlu dilakukan analisis skenario proyeksi pertumbuhan PLTS Atap pada Gedung pemerintah menggunakan pendekatan pertumbuhan PLTS Atap di Asia menjadi empat skenario proyeksi dengan kombinasi tahun awal implementasi (laju pertumbuhan) yaitu : 2026 (8,88%), 2031 (26,91%), 2032 (13,11%) dan 2022 (mengikuti pertumbuhan pelanggan). Dari hasil perhitungan potensi untuk pelanggan PLN P1 mulai dari 2.567,32 MWh hingga 757.816,08 MWh dan Pelanggan PLN P2 sebesar 884,82 MWh hingga 20.331,10 MWh. Dampak terhadap demand PLN khususnya pelanggan P1 dan P2, dari seluruh skenario mengakibatkan pelanggan dapat memenuhi kebutuhan listriknya secara mandiri pada beberapa tahun setelah implementasi sebelum tahun 2050 kecuali pelanggan P1 untuk skenario 3.Kata kunci: Demand, Gedung Pemerintah, PLTS Atap, Skenario Proyeksi ABSTRACTThe government plans to install Rooftop Solar PV on 30% of government buildings' roof areas, but the implementation of regulations by the Minister of Energy and Mineral Resources is delayed, leading to uncertainty about its impact on PLN's electricity demand. Therefore, an analysis of Rooftop Solar PV growth scenarios is necessary. Four projection scenarios are considered: 2026 (8.88% growth rate), 2031 (26.91% growth rate), 2032 (13.11% growth rate), and 2022 (following customer growth). Calculations indicate the potential Rooftop Solar PV capacity in government buildings for PLN P1 customers ranges from 2,567.32 MWh to 757,816.08 MWh, and for PLN P2 customers, it ranges from 884.82 MWh to 20,331.10 MWh. The impact on PLN's demand, particularly for P1 and P2 customers, suggests that they will be able to meet their electricity needs independently for several years after implementation, except for P1 customers in scenario 3, until 2050.Keywords: Demand, Government Building, PV Rooftop, Projection Scenario
{"title":"Analisis Dampak Kebijakan Implementasi PLTS Atap pada Gedung Pemerintah menggunakan Skenario Proyeksi","authors":"RICHI ILHAM, HAKIMUL BATIH","doi":"10.26760/elkomika.v11i4.834","DOIUrl":"https://doi.org/10.26760/elkomika.v11i4.834","url":null,"abstract":"ABSTRAKPemerintah masih tetap akan melakukan implementasi PLTS Atap pada 30% dari luas atap bangunan/gedung pemerintah sedangkan implementasi peraturan Menteri ESDM tentang PLTS Atap yang masih tertunda atau tidak maksimal dikarenakan ketidakpastian yang tinggi dari dampak implementasinya atas demand PLN. Terkait itu perlu dilakukan analisis skenario proyeksi pertumbuhan PLTS Atap pada Gedung pemerintah menggunakan pendekatan pertumbuhan PLTS Atap di Asia menjadi empat skenario proyeksi dengan kombinasi tahun awal implementasi (laju pertumbuhan) yaitu : 2026 (8,88%), 2031 (26,91%), 2032 (13,11%) dan 2022 (mengikuti pertumbuhan pelanggan). Dari hasil perhitungan potensi untuk pelanggan PLN P1 mulai dari 2.567,32 MWh hingga 757.816,08 MWh dan Pelanggan PLN P2 sebesar 884,82 MWh hingga 20.331,10 MWh. Dampak terhadap demand PLN khususnya pelanggan P1 dan P2, dari seluruh skenario mengakibatkan pelanggan dapat memenuhi kebutuhan listriknya secara mandiri pada beberapa tahun setelah implementasi sebelum tahun 2050 kecuali pelanggan P1 untuk skenario 3.Kata kunci: Demand, Gedung Pemerintah, PLTS Atap, Skenario Proyeksi ABSTRACTThe government plans to install Rooftop Solar PV on 30% of government buildings' roof areas, but the implementation of regulations by the Minister of Energy and Mineral Resources is delayed, leading to uncertainty about its impact on PLN's electricity demand. Therefore, an analysis of Rooftop Solar PV growth scenarios is necessary. Four projection scenarios are considered: 2026 (8.88% growth rate), 2031 (26.91% growth rate), 2032 (13.11% growth rate), and 2022 (following customer growth). Calculations indicate the potential Rooftop Solar PV capacity in government buildings for PLN P1 customers ranges from 2,567.32 MWh to 757,816.08 MWh, and for PLN P2 customers, it ranges from 884.82 MWh to 20,331.10 MWh. The impact on PLN's demand, particularly for P1 and P2 customers, suggests that they will be able to meet their electricity needs independently for several years after implementation, except for P1 customers in scenario 3, until 2050.Keywords: Demand, Government Building, PV Rooftop, Projection Scenario","PeriodicalId":31222,"journal":{"name":"Jurnal Elkomika","volume":"32 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":"135322792","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.v11i4.879
ANDY SUPRIYADI, MUHAMMAD ASRI SAFI'IE
ABSTRAKPemenuhan dosen dengan jabatan fungsional lektor kepala dan guru besar menjadi sangat penting dalam memperoleh akreditasi unggul bagi perguruan tinggi. Salah satu upaya pemenuhan dengan melakukan klasifikasi dosen dari sisi lama waktu pencapaian jabatan fungsional lektor kepala dari lektor pada Universitas Sebelas Maret dibagi menjadi tiga, yaitu cepat, sedang, dan lambat. Variabel yang digunakan dalam klasifikasi antara lain usia, tempat studi, lama studi, international research, sertifikasi dosen, jabatan structural dan bidang ilmu dari staf pengajar. Penelitian ini melakukan klasifikasi menggunakan algoritma Support Vector Machine dengan dataset sejumlah 520 data. K-fold Cross Validation digunakan untuk membagi dataset menjadi data latih dan data uji, dengan k=5. Hasil pengujian model diperoleh rata-rata akurasi terbaik menggunakan Support Vector Machine sebesar 86.39% dengan Optimizer Parameter sedangkan rata-rata akurasi Support Vector Machine tanpa parameter sebesar 80.92%.Kata kunci: klasifikasi, jabatan fungsional, Support Vector Machine, K-fold Cross Validation ABSTRACTThe fulfillment of lectures on achieving associate professor and professor position holds tremendous significance for gaining excellent institution Accreditation Predicate. Sebelas Maret Univesity took measures to achieve this objective by carrying out thorough the classification on the length of achieving associate professor from instructor position and split into 3 grades namely fast, medium and slow. The features used for conducting the classification are age, place of study, the length of the study, the amount of international publication, lecturer certification, lecturer’s structural position and field of study. In this study, the Support Vector Machine algorithm was utilized to classify a dataset consisting of 520 data. To ensure reliable results, K-fold Cross Validation was applied to divide the dataset into training and test data, with k=5. The evaluation of the model's performance revealed that the Support Vector Machine achieved an impressive average accuracy of 86.39%. In contrast, the average accuracy of the Support Vector Machine to 80.92% without parameters.Keywords: classification, associate lectures position, support vector machine, K-fold Cross Validation
{"title":"Pemodelan Klasifikasi Lama Waktu Pencapaian Jabatan Fungsional Lektor Kepala menggunakan Optimizer Parameter Support Vector Machine","authors":"ANDY SUPRIYADI, MUHAMMAD ASRI SAFI'IE","doi":"10.26760/elkomika.v11i4.879","DOIUrl":"https://doi.org/10.26760/elkomika.v11i4.879","url":null,"abstract":"ABSTRAKPemenuhan dosen dengan jabatan fungsional lektor kepala dan guru besar menjadi sangat penting dalam memperoleh akreditasi unggul bagi perguruan tinggi. Salah satu upaya pemenuhan dengan melakukan klasifikasi dosen dari sisi lama waktu pencapaian jabatan fungsional lektor kepala dari lektor pada Universitas Sebelas Maret dibagi menjadi tiga, yaitu cepat, sedang, dan lambat. Variabel yang digunakan dalam klasifikasi antara lain usia, tempat studi, lama studi, international research, sertifikasi dosen, jabatan structural dan bidang ilmu dari staf pengajar. Penelitian ini melakukan klasifikasi menggunakan algoritma Support Vector Machine dengan dataset sejumlah 520 data. K-fold Cross Validation digunakan untuk membagi dataset menjadi data latih dan data uji, dengan k=5. Hasil pengujian model diperoleh rata-rata akurasi terbaik menggunakan Support Vector Machine sebesar 86.39% dengan Optimizer Parameter sedangkan rata-rata akurasi Support Vector Machine tanpa parameter sebesar 80.92%.Kata kunci: klasifikasi, jabatan fungsional, Support Vector Machine, K-fold Cross Validation ABSTRACTThe fulfillment of lectures on achieving associate professor and professor position holds tremendous significance for gaining excellent institution Accreditation Predicate. Sebelas Maret Univesity took measures to achieve this objective by carrying out thorough the classification on the length of achieving associate professor from instructor position and split into 3 grades namely fast, medium and slow. The features used for conducting the classification are age, place of study, the length of the study, the amount of international publication, lecturer certification, lecturer’s structural position and field of study. In this study, the Support Vector Machine algorithm was utilized to classify a dataset consisting of 520 data. To ensure reliable results, K-fold Cross Validation was applied to divide the dataset into training and test data, with k=5. The evaluation of the model's performance revealed that the Support Vector Machine achieved an impressive average accuracy of 86.39%. In contrast, the average accuracy of the Support Vector Machine to 80.92% without parameters.Keywords: classification, associate lectures position, support vector machine, K-fold Cross Validation","PeriodicalId":31222,"journal":{"name":"Jurnal Elkomika","volume":"13 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135322969","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 increasing electricity demand, the decreasing supply of fossil energy, and the difficulty in distributing electricity to remote areas are some of the urgent problems. Solar energy through solar panels can be used to support DC Microgrid systems and is suitable for small-scale power grids. Full Bridge Boost Converter with high-frequency transformers controlled by Fuzzy Logic Type-1 (T1FL) and Fuzzy Logic Type-2 (T2FL) is one of the choices that can be made to maximize the use of solar energy to increase the efficiency and reliability of systems on DC Microgrids by keeping the output voltage constant. From the test results, it can be seen that using T2FL can maintain the output voltage of the Full Bridge Boost Converter which can reach a setpoint voltage of 320V with an error of 0.16% and is stable within 0.59742ms. Meanwhile, T1FL takes 0.7161ms to reach the setpoint with an error of 2.8%.
{"title":"A Comparison of Type-1 and Type-2 Fuzzy Logic Controller for Full Bridge Boost Converter on DC Microgrid System","authors":"MOH. ZAENAL EFENDI, NUR SHINTA ROMADLONIYAH, RACHMA PRILIAN EVININGSIH, NOVIE AYUB WINDARKO","doi":"10.26760/elkomika.v11i4.1046","DOIUrl":"https://doi.org/10.26760/elkomika.v11i4.1046","url":null,"abstract":"The increasing electricity demand, the decreasing supply of fossil energy, and the difficulty in distributing electricity to remote areas are some of the urgent problems. Solar energy through solar panels can be used to support DC Microgrid systems and is suitable for small-scale power grids. Full Bridge Boost Converter with high-frequency transformers controlled by Fuzzy Logic Type-1 (T1FL) and Fuzzy Logic Type-2 (T2FL) is one of the choices that can be made to maximize the use of solar energy to increase the efficiency and reliability of systems on DC Microgrids by keeping the output voltage constant. From the test results, it can be seen that using T2FL can maintain the output voltage of the Full Bridge Boost Converter which can reach a setpoint voltage of 320V with an error of 0.16% and is stable within 0.59742ms. Meanwhile, T1FL takes 0.7161ms to reach the setpoint with an error of 2.8%.","PeriodicalId":31222,"journal":{"name":"Jurnal Elkomika","volume":"BME-13 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135322971","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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