Pub Date : 2023-06-29DOI: 10.25077/jnte.v12n2.1061.2023
Paskalina Melda Latif, Aprila Tiy, M. Muharam, Amirul Aulia, Luthfi
Plant Microbial Fuel Cell (P-MFC) is one of Microbial Fuel Cell type. It can produce electricity and source for plant living. By using the humus soil in the anode chamber, the electron can flow to the cathode chamber. The principle of Plant Microbial Fuel Cell is same with the battery. It flows the direct current. This research makes dual chamber of P-MFC prototype. The salt bridge is used as connection between anode chamber to cathode chamber. The humus soil comes from burning organic waste. Its color is black and contains a lot of microbes. The plant selected in this research was Water Spinach. The number of water spinach were 20 and 25 stems. P-MFC which has more Water Spinach will produce more voltage and current than the others. For 25 Water Spinach, P-MFC produced 762.4 mV no-load average voltage and 125.8 mV, 085 mA for load condition. The result was bigger caused by for more plants will be more microbes resulted in the humus soil.
{"title":"The Study of Plant Microbial Fuel Cell for Alternative Energy Source","authors":"Paskalina Melda Latif, Aprila Tiy, M. Muharam, Amirul Aulia, Luthfi","doi":"10.25077/jnte.v12n2.1061.2023","DOIUrl":"https://doi.org/10.25077/jnte.v12n2.1061.2023","url":null,"abstract":"Plant Microbial Fuel Cell (P-MFC) is one of Microbial Fuel Cell type. It can produce electricity and source for plant living. By using the humus soil in the anode chamber, the electron can flow to the cathode chamber. The principle of Plant Microbial Fuel Cell is same with the battery. It flows the direct current. This research makes dual chamber of P-MFC prototype. The salt bridge is used as connection between anode chamber to cathode chamber. The humus soil comes from burning organic waste. Its color is black and contains a lot of microbes. The plant selected in this research was Water Spinach. The number of water spinach were 20 and 25 stems. P-MFC which has more Water Spinach will produce more voltage and current than the others. For 25 Water Spinach, P-MFC produced 762.4 mV no-load average voltage and 125.8 mV, 085 mA for load condition. The result was bigger caused by for more plants will be more microbes resulted in the humus soil.","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48145096","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 : 2023-03-31DOI: 10.25077/jnte.v12n1.1034.2023
Anggun Fitrian Isnawati, Dhia Fikri, Zam Zami, M. L. Leksono
The 5G NR network planning covers the types of use scenarios and applications that include Enhanced Mobile Broadband (eMBB), Ultra-Reliable and Low Latency Communications (URLLC), and Massive Machine Type Communications (MTC). Regarding multicarrier modulation schemes, Orthogonal Frequency Division Multiplexing (OFDM) has become the most popular choice in previous technology, so OFDM is a strong candidate for its 5G NR technology application. However, OFDM has disadvantages such as higher PAPR and decreased bandwidth efficiency due to the addition of CP. These weaknesses can be overcome by the FBMC modulation scheme with Offset Quadrature Amplitude Modulation (OQAM) as a more efficient CP replacement for its implementation in 5G NR. This study analyzed the development of OQAM in Filter Bank multicarrier (FBMC) and compared it with using Cyclic Prefix (CP) based on OFDM using the AWGN channel. The first step of this research is to present an overview of the modulation scheme used. Next, compare the performance of FBMC-OQAM and CP-OFDM by analyzing several Bit Error Rate (BER) simulation results against the SNR value when both systems use the same simulation parameters. Based on the test results of each BER, both methods have different values, almost 2 dB for the same BER results. It indicates that the FBMC-OQAM system reached the BER value of 10-4 at SNR 15 dB. The CP-OFDM system, meanwhile, was able to achieve a BER value of 10-4 at SNR 17 dB. These results indicate that the FBMC-OQAM system is superior to CP-OFDM based on the BER values.
{"title":"Performance Comparison of FBMC-OQAM and CP-OFDM Using AWGN Channel","authors":"Anggun Fitrian Isnawati, Dhia Fikri, Zam Zami, M. L. Leksono","doi":"10.25077/jnte.v12n1.1034.2023","DOIUrl":"https://doi.org/10.25077/jnte.v12n1.1034.2023","url":null,"abstract":"The 5G NR network planning covers the types of use scenarios and applications that include Enhanced Mobile Broadband (eMBB), Ultra-Reliable and Low Latency Communications (URLLC), and Massive Machine Type Communications (MTC). Regarding multicarrier modulation schemes, Orthogonal Frequency Division Multiplexing (OFDM) has become the most popular choice in previous technology, so OFDM is a strong candidate for its 5G NR technology application. However, OFDM has disadvantages such as higher PAPR and decreased bandwidth efficiency due to the addition of CP. These weaknesses can be overcome by the FBMC modulation scheme with Offset Quadrature Amplitude Modulation (OQAM) as a more efficient CP replacement for its implementation in 5G NR. This study analyzed the development of OQAM in Filter Bank multicarrier (FBMC) and compared it with using Cyclic Prefix (CP) based on OFDM using the AWGN channel. The first step of this research is to present an overview of the modulation scheme used. Next, compare the performance of FBMC-OQAM and CP-OFDM by analyzing several Bit Error Rate (BER) simulation results against the SNR value when both systems use the same simulation parameters. Based on the test results of each BER, both methods have different values, almost 2 dB for the same BER results. It indicates that the FBMC-OQAM system reached the BER value of 10-4 at SNR 15 dB. The CP-OFDM system, meanwhile, was able to achieve a BER value of 10-4 at SNR 17 dB. These results indicate that the FBMC-OQAM system is superior to CP-OFDM based on the BER values.","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44843167","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 : 2023-03-31DOI: 10.25077/jnte.v12n1.1045.2023
R. A. Ofosu, E. Normanyo, N-Yo Abdul-Aziz, Stephen Smart Stickings
Most cable manufacturing companies use Programmable Logic Controllers with conventional controllers to control line speed during cable extrusion. These traditional controllers have difficulties keeping the line speed constant, causing surface defects on the extruded cables and affecting the quality of the manufactured cables. To overcome these challenges, data on the causes of defects during cable manufacturing were collected from a cable manufacturing company in Ghana to ascertain the possible causes during cable manufacturing. Adaptive Neuro-Fuzzy Inference System (ANFIS) controller was designed to provide a constant line speed during the cable extrusion process. To ascertain its robustness, the ANFIS controller was compared to a conventional Proportional Integral Derivative controller and a Fuzzy Logic controller. The controllers were designed and simulated using MATLAB/Simulink software. The analysis of the collected data indicated that a break in insulation/ sheath was a frequently occurring defect during the cable manufacturing process due to improper line speed control of the machines used in the cable manufacturing process. Based on the results obtained from the various controllers, it was concluded that the ANFIS controller was robust in achieving stability regarding line speed variations.
{"title":"Speed Control of an Electrical Cable Extrusion Process Using Artificial Intelligence-Based Technique","authors":"R. A. Ofosu, E. Normanyo, N-Yo Abdul-Aziz, Stephen Smart Stickings","doi":"10.25077/jnte.v12n1.1045.2023","DOIUrl":"https://doi.org/10.25077/jnte.v12n1.1045.2023","url":null,"abstract":"Most cable manufacturing companies use Programmable Logic Controllers with conventional controllers to control line speed during cable extrusion. These traditional controllers have difficulties keeping the line speed constant, causing surface defects on the extruded cables and affecting the quality of the manufactured cables. To overcome these challenges, data on the causes of defects during cable manufacturing were collected from a cable manufacturing company in Ghana to ascertain the possible causes during cable manufacturing. Adaptive Neuro-Fuzzy Inference System (ANFIS) controller was designed to provide a constant line speed during the cable extrusion process. To ascertain its robustness, the ANFIS controller was compared to a conventional Proportional Integral Derivative controller and a Fuzzy Logic controller. The controllers were designed and simulated using MATLAB/Simulink software. The analysis of the collected data indicated that a break in insulation/ sheath was a frequently occurring defect during the cable manufacturing process due to improper line speed control of the machines used in the cable manufacturing process. Based on the results obtained from the various controllers, it was concluded that the ANFIS controller was robust in achieving stability regarding line speed variations.","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43663384","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 : 2023-03-31DOI: 10.25077/jnte.v12n1.1052.2023
S. Sukemi, Ahmad Fali Oklilas, Muhammad Wahyu Fadli, B. Alfaresi
Path loss is a mechanism where the signal from the transmitting antenna to the receiver in a wireless network is attenuated during transmission across a medium due to external field conditions. In the telecommunication design, precise and efficient calculations are required. Random forest, as a machine learning-based path loss prediction model, is used in this study. Machine learning-based path loss prediction, random forest, has a low level of complexity and a high level of predictability. The data was collected using the drive test method at the Trans Musi busway area on the 4G network in Palembang, South Sumatra, Indonesia. The data ratio comprised 20% of the testing set and the rest of the training set. As a result, it was obtained that the prediction accuracy of 9.24% of mean absolute percentage error (MAPE) and root mean square error (RMSE) was 13.6 decibels (dB). Using hyperparameter tuning for random forest results in optimizing the model used, resulting in accuracy prediction for 8.00% of MAPE and RMSE was 11.8 dB, which is better than the previous results.
{"title":"Path Loss Prediction Accuracy Based On Random Forest Algorithm in Palembang City Area","authors":"S. Sukemi, Ahmad Fali Oklilas, Muhammad Wahyu Fadli, B. Alfaresi","doi":"10.25077/jnte.v12n1.1052.2023","DOIUrl":"https://doi.org/10.25077/jnte.v12n1.1052.2023","url":null,"abstract":"Path loss is a mechanism where the signal from the transmitting antenna to the receiver in a wireless network is attenuated during transmission across a medium due to external field conditions. In the telecommunication design, precise and efficient calculations are required. Random forest, as a machine learning-based path loss prediction model, is used in this study. Machine learning-based path loss prediction, random forest, has a low level of complexity and a high level of predictability. The data was collected using the drive test method at the Trans Musi busway area on the 4G network in Palembang, South Sumatra, Indonesia. The data ratio comprised 20% of the testing set and the rest of the training set. As a result, it was obtained that the prediction accuracy of 9.24% of mean absolute percentage error (MAPE) and root mean square error (RMSE) was 13.6 decibels (dB). Using hyperparameter tuning for random forest results in optimizing the model used, resulting in accuracy prediction for 8.00% of MAPE and RMSE was 11.8 dB, which is better than the previous results.","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47880459","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 : 2023-03-31DOI: 10.25077/jnte.v12n1.1047.2023
R. A. Ofosu, Benjamin Odoi, Daniel Fosu Boateng, A. Muhia
This paper uses the Kohonen Self-Organising Map (KSOM) to detect, diagnose, and classify induction motor faults. A series of simulations using models of the 3-phase induction motor based on real industrial motor parameters were performed using MATLAB/Simulink under fault conditions such as inter-turn, power frequency variation, over-voltage and unbalance in supply voltage. The model was trained using the input signals of the various fault conditions. Various faults from an unseen induction motor were fed to the model to test the model’s ability to detect and classify induction motor faults. The KSOM adapted to the conditions of the unseen motor, detected, diagnosed and classified these faults with an accuracy of 94.12%.
{"title":"Fault Detection and Diagnosis of a 3-Phase Induction Motor Using Kohonen Self-Organising Map","authors":"R. A. Ofosu, Benjamin Odoi, Daniel Fosu Boateng, A. Muhia","doi":"10.25077/jnte.v12n1.1047.2023","DOIUrl":"https://doi.org/10.25077/jnte.v12n1.1047.2023","url":null,"abstract":"This paper uses the Kohonen Self-Organising Map (KSOM) to detect, diagnose, and classify induction motor faults. A series of simulations using models of the 3-phase induction motor based on real industrial motor parameters were performed using MATLAB/Simulink under fault conditions such as inter-turn, power frequency variation, over-voltage and unbalance in supply voltage. The model was trained using the input signals of the various fault conditions. Various faults from an unseen induction motor were fed to the model to test the model’s ability to detect and classify induction motor faults. The KSOM adapted to the conditions of the unseen motor, detected, diagnosed and classified these faults with an accuracy of 94.12%.","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43796768","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 : 2023-02-11DOI: 10.25077/jnte.v12n1.1055.2023
A. Adrianti, Rada Tamara Putri, M. Nasir
Photovoltaic power plants usually do not provide reactive power output; hence the application of large photovoltaics in power systems will decrease the voltage stability level of the power system. Capacitor banks can provide reactive power to compensate the photovoltaic plants; therefore, capacitor banks can overcome the reactive power deficiency of photovoltaic plants. However, the effect of capacitor bank installation on the system’s voltage stability is unknown. Therefore, the research aims to investigate whether installing a capacitors bank can restore the level of system voltage stability. The study employs the method of Voltage Stability Margin and transient stability simulation to the IEEE 9 bus system. The IEEE 9 bus system is modified where one generator of the system is replaced with a photovoltaic plant, and a capacitor bank is also installed. The study results show that the modified system voltage stability level is lower than the original system. When the capacity of the capacitor bank is increased to the maximum allowable value, the voltage stability level rises. However, it is still unable to be restored to its original value.
{"title":"Voltage Stability Analysis of Power System with Photovoltaic Power Plant","authors":"A. Adrianti, Rada Tamara Putri, M. Nasir","doi":"10.25077/jnte.v12n1.1055.2023","DOIUrl":"https://doi.org/10.25077/jnte.v12n1.1055.2023","url":null,"abstract":"Photovoltaic power plants usually do not provide reactive power output; hence the application of large photovoltaics in power systems will decrease the voltage stability level of the power system. Capacitor banks can provide reactive power to compensate the photovoltaic plants; therefore, capacitor banks can overcome the reactive power deficiency of photovoltaic plants. However, the effect of capacitor bank installation on the system’s voltage stability is unknown. Therefore, the research aims to investigate whether installing a capacitors bank can restore the level of system voltage stability. The study employs the method of Voltage Stability Margin and transient stability simulation to the IEEE 9 bus system. The IEEE 9 bus system is modified where one generator of the system is replaced with a photovoltaic plant, and a capacitor bank is also installed. The study results show that the modified system voltage stability level is lower than the original system. When the capacity of the capacitor bank is increased to the maximum allowable value, the voltage stability level rises. However, it is still unable to be restored to its original value.","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42737290","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: 10.25077/jnte.v11n3.1053.2022
Charles Ofori, Robert Ofosu, Ernest Atsu Ametepe
The electricity access rate in Niger is one of the worst in Sub-Saharan Africa and is an issue of paramount importance to the Government of Niger. This energy insecurity has negatively affected industrialization and developmental plans, making Niger one of the poorest countries in the world. With a large landmass and several pockets of habitation in Niger, mini-grids remain the optimal way of providing electricity to people living in rural areas. Nigerienne Agency for the Promotion of Rural Electrification (ANPER), which is the institute responsible for rural electrification, currently operates about 110 diesel-powered mini-grids in Niger. With global warming looming, the operation of these diesel generators is not only expensive but also has an adverse effect on the environment. This paper seeks to analyze the techno-economic feasibility of a hybrid system for rural electrification in Niger with Sekoukou village as a case study. Load assessment, component technical configuration and component cost are simulated in HOMER software as objective functions to find the optimal size and cost. Results show that the most economical and efficient system for mini-grid operation in Sekoukou in Niger, is the generator-photovoltaic (PV) hybrid mini-grid which produces a levelized cost of energy of $0.271. A load shifting approach is applied to the existing load profile, which further reduces the levelized cost of energy from $0.271 to $0.177. This hybrid mini-grid system coupled with the load shifting approach would help improve the village’s ability and willingness to pay for electricity.
{"title":"Optimal Mini-grid for Rural Electrification: A Case Study of Sekoukou-Niger","authors":"Charles Ofori, Robert Ofosu, Ernest Atsu Ametepe","doi":"10.25077/jnte.v11n3.1053.2022","DOIUrl":"https://doi.org/10.25077/jnte.v11n3.1053.2022","url":null,"abstract":"The electricity access rate in Niger is one of the worst in Sub-Saharan Africa and is an issue of paramount importance to the Government of Niger. This energy insecurity has negatively affected industrialization and developmental plans, making Niger one of the poorest countries in the world. With a large landmass and several pockets of habitation in Niger, mini-grids remain the optimal way of providing electricity to people living in rural areas. Nigerienne Agency for the Promotion of Rural Electrification (ANPER), which is the institute responsible for rural electrification, currently operates about 110 diesel-powered mini-grids in Niger. With global warming looming, the operation of these diesel generators is not only expensive but also has an adverse effect on the environment. This paper seeks to analyze the techno-economic feasibility of a hybrid system for rural electrification in Niger with Sekoukou village as a case study. Load assessment, component technical configuration and component cost are simulated in HOMER software as objective functions to find the optimal size and cost. Results show that the most economical and efficient system for mini-grid operation in Sekoukou in Niger, is the generator-photovoltaic (PV) hybrid mini-grid which produces a levelized cost of energy of $0.271. A load shifting approach is applied to the existing load profile, which further reduces the levelized cost of energy from $0.271 to $0.177. This hybrid mini-grid system coupled with the load shifting approach would help improve the village’s ability and willingness to pay for electricity.","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45733808","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: 10.25077/jnte.v11n3.963.2022
P. H. Mukti, Syaldi Kharisma Ananda, Gatot Kusrahardjo
As a very large archipelago country, Indonesia has a high intensity of the natural disaster. In many cases, the telecommunication infrastructure collapse during the disaster. Therefore, a prominent and robust emergency telecommunication network is required. In this paper, an implementation of VoIP services over the WiMAX-WLAN integrated network is proposed. The integrated network is designed to provide an alternative of the emergency network during the disaster response. The VoIP service is selected for the study case because this service can be used as a complementary of the telephony service. In this paper, the WiMAX network is designed based on the IEEE Standard 802.16-2004 with the frequency band of 3.5 GHz while the WLAN network is designed based on the IEEE Standard 802.11n. To support many scenarios of network topology, the proposed integrated network is designed in P2P and PMP topologies. Within these network topologies, the network performance is evaluated in terms of delay, jitter, throughput and packet loss, as well as MOS value. The network performance is evaluated over various background traffic. From the experimental evaluation, it shows that the network becomes worse when the network load that is represented by the background traffic exceeding 3 Mbps. In general, there is no significant performance different between P2P and PMP network topology.
{"title":"Performance Evaluation of VoIP Service for Emergency Disaster Responses over WiMAX-WLAN Integrated Network","authors":"P. H. Mukti, Syaldi Kharisma Ananda, Gatot Kusrahardjo","doi":"10.25077/jnte.v11n3.963.2022","DOIUrl":"https://doi.org/10.25077/jnte.v11n3.963.2022","url":null,"abstract":"As a very large archipelago country, Indonesia has a high intensity of the natural disaster. In many cases, the telecommunication infrastructure collapse during the disaster. Therefore, a prominent and robust emergency telecommunication network is required. In this paper, an implementation of VoIP services over the WiMAX-WLAN integrated network is proposed. The integrated network is designed to provide an alternative of the emergency network during the disaster response. The VoIP service is selected for the study case because this service can be used as a complementary of the telephony service. In this paper, the WiMAX network is designed based on the IEEE Standard 802.16-2004 with the frequency band of 3.5 GHz while the WLAN network is designed based on the IEEE Standard 802.11n. To support many scenarios of network topology, the proposed integrated network is designed in P2P and PMP topologies. Within these network topologies, the network performance is evaluated in terms of delay, jitter, throughput and packet loss, as well as MOS value. The network performance is evaluated over various background traffic. From the experimental evaluation, it shows that the network becomes worse when the network load that is represented by the background traffic exceeding 3 Mbps. In general, there is no significant performance different between P2P and PMP network topology.","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47663567","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: 10.25077/jnte.v11n3.1074.2022
Baharuddin, Akbar Alhaqi Hidayat, H. Andre, Rina Angraini
Soil temperature and humidity are important factors in affecting the condition of agricultural sector, which has an impact on the quality and quantity of the production. Lack of information on the condition of agricultural soil is one of the causes in productivity deficiency in the process of agricultural cultivation. The application of technology in the field of agriculture is expected to be able to reduce various adverse effects of agricultural soil conditions. One of which is by periodic monitoring, such as the temperature and humidity of agricultural soil. This research aims to design LoRa technology to be used as a data transmission medium for monitoring soil temperature and humidity by applying a system that is based on the Blynk application, which will make the users easier to monitor the system remotely. The temperature sensor was able to acquire data with 98.37% accuracy and the soil humidity sensor was able to acquire data with 91.63% accuracy. The changes in LoRa transmission parameters for monitoring data have an effect on the quality of its performance. The experimental results with Bandwidth variation (BW) from 31.25 kHz, 62.50 kHz, 125 kHz, 250 kHz, and 500 kHz at a distance of 15m, the best SNR and RSSI values were obtained for BW 31.25 kHz with values of 5.42 dB and -104.90 dBm. Whereas, the best ToA is obtained with a BW of 500 kHz with a value of 27.50 ms. While, the experimental result with the variation of Coding Rate (CR) from CR 4/5, 4/6, 4/7, and 4/8 at a distance of 15m, the best SNR and RSSI values were obtained CR 4/8 with values of 4.10 dB and -106.40 dBm and he best ToA was obtained CR 4/5 with a value of 112.70 ms. In testing by using variation Spreading Factor (SF) from SF7, SF9, and SF12, the higher the SF value used, the wider the range of area data communication will be. Configuration SF7 and SF9 were only able to reach a distance of 25m, while SF12 was able to reach a distance of 35m.
{"title":"The Design of Soil Temperature and Humidity Monitoring Systems with IoT-Based LoRa Technology","authors":"Baharuddin, Akbar Alhaqi Hidayat, H. Andre, Rina Angraini","doi":"10.25077/jnte.v11n3.1074.2022","DOIUrl":"https://doi.org/10.25077/jnte.v11n3.1074.2022","url":null,"abstract":"Soil temperature and humidity are important factors in affecting the condition of agricultural sector, which has an impact on the quality and quantity of the production. Lack of information on the condition of agricultural soil is one of the causes in productivity deficiency in the process of agricultural cultivation. The application of technology in the field of agriculture is expected to be able to reduce various adverse effects of agricultural soil conditions. One of which is by periodic monitoring, such as the temperature and humidity of agricultural soil. This research aims to design LoRa technology to be used as a data transmission medium for monitoring soil temperature and humidity by applying a system that is based on the Blynk application, which will make the users easier to monitor the system remotely. The temperature sensor was able to acquire data with 98.37% accuracy and the soil humidity sensor was able to acquire data with 91.63% accuracy. The changes in LoRa transmission parameters for monitoring data have an effect on the quality of its performance. The experimental results with Bandwidth variation (BW) from 31.25 kHz, 62.50 kHz, 125 kHz, 250 kHz, and 500 kHz at a distance of 15m, the best SNR and RSSI values were obtained for BW 31.25 kHz with values of 5.42 dB and -104.90 dBm. Whereas, the best ToA is obtained with a BW of 500 kHz with a value of 27.50 ms. While, the experimental result with the variation of Coding Rate (CR) from CR 4/5, 4/6, 4/7, and 4/8 at a distance of 15m, the best SNR and RSSI values were obtained CR 4/8 with values of 4.10 dB and -106.40 dBm and he best ToA was obtained CR 4/5 with a value of 112.70 ms. In testing by using variation Spreading Factor (SF) from SF7, SF9, and SF12, the higher the SF value used, the wider the range of area data communication will be. Configuration SF7 and SF9 were only able to reach a distance of 25m, while SF12 was able to reach a distance of 35m.","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42051795","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: 10.25077/jnte.v11n3.1023.2022
Helmy Widyantara, Mas Aly Afandi, Ristanti Akseptori, Ubaidilah Umar
This paper discussed the method of navigation and robot formation in a swarm using the Local Positioning System (LPS) which was applied to the mobile robot's differential steering platform. Navigation and formation of robots in swarm robotics could run well because of the presence of robot position coordinates. In the outdoor application of coordinates, the position of the robot could be obtained easily using the Global Positioning System (GPS), but GPS had drawbacks in indoor applications. In indoor use, signals from satellites were difficult to obtain and inaccurate for use with relatively short distances. In coordinate research, positioning used LPS which was built using Bluetooth Low Energy (BLE). LPS with BLE was successfully built with simple resources and at a low price but had optimal performance. The LPS accuracy built with BLE and the regression algorithm had an error of 4.33% on the X-axis, and 2.67% on the Y-axis. The robot formation utilized a combination of proximity sensors and position coordinates obtained from LPS. The proximity sensor served to detect obstacles that hold the robot towards a predetermined target. The combination of navigation algorithms and swarm formation robotics was proven to be faster at finding targets compared to a single robot.
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