karel bachri - Academia.edu (original) (raw)

Papers by karel bachri

Research paper thumbnail of Heart Sound Processing for Early Diagnostic of Heart Abnormalities using Support Vector Machine

Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer, Jun 30, 2024

Research paper thumbnail of Penggunaan ETAP 12.6 Sebagai Alat Bantu Dalam Memilih Setting OCR Untuk Melindungi Kelangsungan dan Kestabilan Energi Listrik

Jurnal Elektro/Jurnal Elektro, Jan 15, 2024

In this time electrical energy is one of the most energy used. In industry electrical energy beco... more In this time electrical energy is one of the most energy used. In industry electrical energy becomes a necessity that cannot be separated from the production process. Due to the need for electrical energy sources, of course, a protection system is needed to maintain the continuity and stability of electrical energy from existing disturbances such as short circuit disturbances. To overcome the short circuit, OCR is used. To assist the process of calculating loadflow and short-circuit current, ETAP12.6 is used. The results of the analysis of the ETAP 12.6 will be compared with the data obtained in the field with the aim of analyzing whether the use of the ETAP 12.6 software in assisting calculations and analysis in the selection of OCR settings. The difference in ocr settings in the ETAP 12.6 and field data has a difference of less than 2%. This difference is relatively small and can still be used to help the process in selecting the OCR settings.

Research paper thumbnail of Simulasi Sistem Pengendalian Motor Stepper dengan Metode Pulse Width Modulation

Jurnal Elektro/Jurnal Elektro, Jan 15, 2024

This paper discusses the control of a stepper motor using Pulse Width Modulation (PWM) methods. I... more This paper discusses the control of a stepper motor using Pulse Width Modulation (PWM) methods. In this paper, the author presents two designs: one using a stepper motor controller with an astable multivibrator as a pulse generator and the other utilizing a microcontroller as the pulse generator. The design of the stepper motor controller with an astable multivibrator involves using the IC timer 555 to control the stepper motor speed and a latch circuit to control the direction of the stepper motor rotation. Meanwhile, the design of the stepper motor controller with a microcontroller employs the Arduino UNO R3 to control both the direction and speed of the stepper motor. Testing is conducted through a simulation of the system design using Proteus software. From the test results, it is observed that an increase in the PWM value leads to a faster rotation speed of the stepper motor, conversely, a decrease in PWM value results in a slower rotation speed of the stepper motor.

Research paper thumbnail of Simulasi Pengendalian Kecepatan Putar Motor DC Menggunakan Metode Logika Fuzzy

Metris, Sep 7, 2023

This paper discusses DC motor rotational speed control using fuzzy logic method. The system works... more This paper discusses DC motor rotational speed control using fuzzy logic method. The system works by utilizing ultrasonic sensors to detect distance. The detected distance affects the rotational speed of the DC motor which is controlled by the Arduino UNO microcontroller. Fuzzy logic is applied to the Arduino UNO microcontroller in which distance as the input, and the rotational speed of the DC motor in the form of Pulse Width Modulation as the output. There are several classifications of distance: very close, close, normal, far and very far. In addition, there are several classifications in the motor rotational speed response: slow, very slow, medium, fast, and very fast. The design of the fuzzy logic system is carried out in the Arduino IDE application and MATLAB using the Mamdani method at the inference stage. Fuzzy logic system is run on the Arduino UNO microcontroller in which the simulation is carried out through Proteus application. The test results show that the largest percentage of errors/discrepancies between the Proteus system design and the MATLAB is 1.55%. In the future, this simulation can be applied to systems such as selfdriving cars.

Research paper thumbnail of Rancang Bangun Fasilitas Cuci Tangan Pintar Untuk Lembaga Bimbingan Belajar Hikari

Jurnal Pengabdian Masyarakat Charitas, Dec 20, 2023

Indonesia is one of the countries affected by the COVID-19 pandemic. One of the most effective wa... more Indonesia is one of the countries affected by the COVID-19 pandemic. One of the most effective ways to prevent the spread of the COVID-19 virus is by regularly washing hands with soap for 20 seconds. With the pandemic conditions improving and the government lifting COVID restrictions, learning institutions can continue learning activities with the requirement that they obey strict health protocols. One of the private tutoring institutions in Tangerang that has resumed operations is Hikari Private Tutoring. With many people using the same facilities for educational activities, Hikari Private Tutoring is required to provide facilities for washing hands. Based on the inputs from Hikari Private Tutoring management, a touchless hand-washing facility was designed to minimize COVID-19 transmission. The hand washing facility also has an LCD to play videos of correct hand washing procedures and show how long the user has washed their hands. At the end of this activity, the manager and staff of Hikari Private Tutoring were asked to fill out a questionnaire. The results showed that they were satisfied with the functionality of the touchless hand-washing facilities. This handwashing facility can hopefully help educate the public, particularly the staff and students of Private Tutoring, on the correct technique to wash their hands and prevent the spread of COVID-19.

Research paper thumbnail of Analysis of Electric Power Consumption in FTTH Network by Reducing Amount of Node HFC (A Case Study PT. Link)

Zenodo (CERN European Organization for Nuclear Research), Sep 15, 2023

Using stable power in the infrastructure network of Hybrid Fiber Coaxial (HFC) NODEs is a major c... more Using stable power in the infrastructure network of Hybrid Fiber Coaxial (HFC) NODEs is a major concern and a priority. A NODE is an active device that requires a supply of electrical energy to operate. The same applies to outdoor cabinets. This is where the active equipment of the Fiber-to-the-Home (FTTH) network is located. An outdoor cabinet as the location of active devices in the Fiber To The Home network becomes a system for efficient power consumption of the Fiber To The Home network in a hybrid fiber coaxial network. Electrical loads such as DC power systems, air conditioning (Aircond), optical line termination (OLT), and switches are the major electrical loads that require power in outdoor Fiber To The Home (FTTH) closets. Research suggests that FTTH networks are more energy efficient than HFC networks, using up to 70% less energy per user. This ongoing study focuses on demonstrating the impact of the network reconstruction conversion process on the power consumption efficiency of an existing network, Hybrid Fiber Coaxial (HFC), to his FTTH (Fiber To The Home) network. And the savings in monthly electricity bills with continued use of HFC technology are about 16% of the monthly bill.

Research paper thumbnail of Characteristics and Cost Efficiency Analysis of an IoT- based Smart Breaker used as Automation in Buildings

Zenodo (CERN European Organization for Nuclear Research), Jul 1, 2023

This research analyzes the working system of an Internet of Things-based smart breaker equipment ... more This research analyzes the working system of an Internet of Things-based smart breaker equipment used as a building automation system for application in the Boarding House Ampera building in Jakarta, Indonesia. This research was obtained from PT. Benih Par Sada, based on the request of the building owner, wanted to try a developing control system at a relatively affordable price. In Indonesia, there are already several providers of IoT-based control equipment, with varying prices offered by these providers. Therefore, this analysis of the working system focuses on cost efficiency and functional similarities of the smart breaker equipment compared to the building automation system commonly implemented in buildings in Indonesia.

Research paper thumbnail of Spooling Device Optimization with IP Camera and Active Infrared Sensor

ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika

Desain yang sangat padat pada lokasi gulungan kabel streamer pada kapal seismik dapat menimbulkan... more Desain yang sangat padat pada lokasi gulungan kabel streamer pada kapal seismik dapat menimbulkan titik-lemah karena lokasinya di tengah geladak dan area kerja operator di geladak belakang. Hal ini meningkatkan risiko kerusakan peralatan dan risiko terhadap keselamatan operator. Operator harus berjalan bolak-balik atau menugaskan operator lain untuk memantau gulungan kabel streamer yang berarti diperlukan waktu tambahan selama pengoperasian. Kedua opsi tersebut berkontribusi terhadap paparan ekstra risiko keselamatan dan penggunaan operator yang tidak efisien. Pada penelitian ini IP camera digunakan untuk memonitoring gulungan kabel streamer dan active infrared sensor digunakan untuk mendeteksi titik lemah. Desain sistem yang diimplementasikan ini mengurangi titik lemah sehingga mengurangi risiko keselamatan, meningkatkan efisiensi waktu, dan mencegah kerusakan peralatan.

Research paper thumbnail of Application Smart Breaker System based on IoT for Lighting System at Building

Zenodo (CERN European Organization for Nuclear Research), Jul 1, 2023

This research is in the form of designing and applying an IoT-based smart circuit breaker control... more This research is in the form of designing and applying an IoT-based smart circuit breaker control circuit in lighting systems that will be applied to buildings. Where a trial of a series of control circuits based on IoT is carried out, before being applied to buildings. Equipment used as an IoT-based smart solver. This research is in the form of design, equipment details and application results of the IoT-based smart breaker control circuit.

Research paper thumbnail of Survey Paper: Optimization and Monitoring of Kubernetes Cluster using Various Approaches

Sinkron

This research compares different methods for optimizing and monitoring Kubernetes clusters. Three... more This research compares different methods for optimizing and monitoring Kubernetes clusters. Three referenced journals are analyzed: "Kubernetes cluster optimization using hybrid shared-state scheduling framework" by Oana-Mihaela Ungureanu, Călin Vlădeanu, Robert Kooij; "Monitoring Kubernetes Clusters Using Prometheus and Grafana" by Salma Rachman Dira, Muhammad Arif Fadhly Ridha; and "Cluster Frameworks for Efficient Scheduling and Resource Allocation in Data Center Networks: A Survey" by Kun Wang, Qihua Zhou, Song Guo, and Jiangtao Luo. These journals explore various approaches to optimizing and monitoring Kubernetes clusters. This review concludes that selecting appropriate technologies for optimizing and monitoring Kubernetes clusters can enhance performance and resource management efficiency in data centre networks. The research addresses the problem of improving Kubernetes cluster performance through optimization and efficient monitoring. The requi...

Research paper thumbnail of Perbaikan Kondisi Keseimbangan Lintasan Produksi Dengan Penerapan Metode Genetic Algorithm Pada Lintasan Produksi Muffler K-59J PT XYZ

Metris: Jurnal Sains dan Teknologi, Aug 6, 2022

PT. XYZ is an automotive manufacturing company that has been working as a supplier of automotive ... more PT. XYZ is an automotive manufacturing company that has been working as a supplier of automotive parts to several company in Indonesia. Most of the production line is already good enough, but there is one of their sub product that has problems in their production process. The sub product is muffler K-59J. There are problems on its production line such as bottleneck, overtime. Another problem can be seen from the data, that its line efficiency is only 58,81 %. Thus, this study aims to improve the performance of the production line. Therefore, a computerized Genetic Algorithm method is proposed to improve its performance. The Genetic Algorithm process is made using matlab software. In the process, several stages are carried out starting from making a genetic representation, selecting parents, making the recombination and mutation process, and regenerating the population. But in this study, the generate population process is filtered into the two process. So the output of the population is already qualified for the line balancing requirements. From the results of the Genetic Algorithm method, it is found that the efficiency of the path is 74.07 % with a total of 18 work stations. thus the value of the efficiency of the path was successfully increased by 15.26%.

Research paper thumbnail of Implementation of PVWatts Software for Design of Roof Solar Panels at the Faculty of Engineering, Subang University

2022 11th Electrical Power, Electronics, Communications, Controls and Informatics Seminar (EECCIS)

Research paper thumbnail of Cognitive Artificial Intelligence Method for Interpreting Transformer Condition Based on Maintenance Data

Advances in Science, Technology and Engineering Systems Journal, 2017

Aciek-Sembiring) is a method of information fusion at a single observation and OMA3S(Observation ... more Aciek-Sembiring) is a method of information fusion at a single observation and OMA3S(Observation Multi-time A3S) is a method of information fusion for time-series data. This paper proposes OMA3S-based Cognitive Artificial-Intelligence method for interpreting Transformer Condition, which is calculated based on maintenance data from Indonesia National Electric Company (PLN). First, the proposed method is tested using the previously published data, and then followed by implementation on maintenance data. Maintenance data are fused to obtain part condition, and part conditions are fused to obtain transformer condition. Result shows proposed method is valid for DGA fault identification with the average accuracy of 91.1%. The proposed method not only can interpret the major fault, it can also identify the minor fault occurring along with the major fault, allowing early warning feature. Result also shows part conditions can be interpreted using information fusion on maintenance data, and the transformer condition can be interpreted using information fusion on part conditions. The future works on this research is to gather more data, to elaborate more factors to be fused, and to design a cognitive processor that can be used to implement this concept of intelligent instrumentation.

Research paper thumbnail of Smart Room Monitoring Menggunakan Mit App Inventor Dengan Koneksi Bluetooth

Jurnal Elektro, 2020

This study aims to design a smart room monitoring system (smart room) to determine the condition ... more This study aims to design a smart room monitoring system (smart room) to determine the condition of the room in the house. This smart room system is based on Bluetooth and is assisted by the MIT App Inventor application which can do remote monitoring. This system is controlled by the Arduino Mega microcontroller which is connected to the sensor and Bluetooth. The sensors used are MQ2 to detect gas leaks, LM35 to detect room temperature, and PIR sensors to detect human presence. The MQ2 Sensor is placed near the LPG gas canisters, the PIR sensor is placed at entrance, while the LM35 sensor is placed at the center of the room, with neither direct blow from the Air Conditioner nor direct exposure to sunlight. Experiment shows that the sensor and the system work, and the application can also be connected to the system so that the sensors are monitored. In the MIT App Inventor application, the data received from Bluetooth is a PIR sensor that detects the presence of people in the room, t...

Research paper thumbnail of Cognitive artificial-intelligence for doernenburg dissolved gas analysis interpretation

TELKOMNIKA (Telecommunication Computing Electronics and Control), 2019

This paper proposes Cognitive Artificial Intelligence (CAI) method for Dissolved Gas Analysis (DG... more This paper proposes Cognitive Artificial Intelligence (CAI) method for Dissolved Gas Analysis (DGA) interpretation adopting Doernenburg Ratio method. CAI works based on Knowledge Growing System (KGS) principle and is capable of growing its own knowledge. Data are collected from sensors, but they are not the information itself, and thus, data needs to be processed to extract information. Multiple information are then fused in order to obtain new information with Degree of Certainty (DoC). The new information is used to identify faults occurred at a single observation. The proposed method is tested using the previously published dataset and compared with Fuzzy Inference System (FIS) and Artificial Neural Network (ANN). Experiment shows CAI implementation on Doernenburg Ratio performs 115 out of 117 accurate identification, followed by Fuzzy Inference System 94.02% and ANN 78.6%. CAI works well even with small amount of data and does not require trainings.

Research paper thumbnail of Transformer performance calculation using information fusion based on DGA interpretation

2016 International Symposium on Electronics and Smart Devices (ISESD), 2016

This paper discusses about transformer performance calculation using information fusion algorithm... more This paper discusses about transformer performance calculation using information fusion algorithm. DGA data is interpreted using OMA3S information fusion to recognize fault occurring in the oil. Observed gas to be interpreted in this paper are hydrogen, acetylene, and carbon monoxide, since they are combustible. The result is used to find weight of each sensor to calculate performance. Information Fusion can be used to perform performance calculation using

Research paper thumbnail of Interpreting DGA Key Gas using Fuzzy OMA3S

2016 International Symposium on Electronics and Smart Devices (ISESD), 2016

This paper discusses about interpreting DGA key gas using Fuzzy OMA3S. DGA key gas data is compar... more This paper discusses about interpreting DGA key gas using Fuzzy OMA3S. DGA key gas data is compared to standard and put into condition group. Each group is given score and is assigned to the corresponding fault in the observation matrix. The next step is to calculate New Knowledge Probability Distribution (NKPD) on each observation, which is the maximum value of a group of sensors that indicates each hypothesis. To show Knowledge growth, NKPD over Time (NKPDT) is used. At the last observation, the hypothesis with the highest value of NKPDT becomes the DoC. The goal of this paper is to compare the crisp logic of the conventional OMA3S and the Fuzzy logic OMA3S in interpreting 6-sensor-4-hypothesis DGA.

Research paper thumbnail of Cognitive artificial intelligence method for measuring transformer performance

2016 Future Technologies Conference (FTC), 2016

In this paper, we calculate transformer end-of-life estimation using OMA3S information fusion alg... more In this paper, we calculate transformer end-of-life estimation using OMA3S information fusion algorithm. We use two parameters, transformer condition and gradient of condition, which are calculated using condition-Based Sampling Period method. Condition generated randomly, while the gradient of condition is calculated using two conditions from current observation and previous observation. This condition is used to determine the sampling period of the measurement data collected from sensors. The sampling period will be decreased if the condition of the transformer deteriorates. The tangent of the condition will be used to estimate transformer end-of-life. Simulation shows transformer end-of life can be estimated using OMA3S method on condition and the gradient of condition.

Research paper thumbnail of Transformer end-of-life estimation using condition-Based Sampling Period Method

2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2015

This paper discusses transformer end-of-life estimation using condition-Based Sampling Period met... more This paper discusses transformer end-of-life estimation using condition-Based Sampling Period method. Condition of the transformer is randomly generated. This condition will be used to determine the sampling period of the measurement data collected from sensors. The observation interval will be decreased if the condition of the transformer deteriorates fast. The tangent of the condition will be used to estimate transformer end-of-life. Simulation shows transformer end-of life can be estimated using this method and the next observation can be determined according to the gradient of condition.

Research paper thumbnail of Anthropometric study of Indonesian university students in Jakarta

2015 International Conference on Industrial Engineering and Operations Management (IEOM), 2015

This study aims to present anthropometric dimensions of Indonesian university students. The resea... more This study aims to present anthropometric dimensions of Indonesian university students. The research was conducted in Metropolitan Area of Jakarta, Indonesia. One hundred and twenty five subjects (60 male and 65 female) age between 18 - 23 years old were participated. Sixty anthropometric data of the subject were measured by using anthroscan, the most update and high-tech instrument. The mean, standard deviation (SD) and percentile values for each body dimensions were calculated and presented. Results of t-test showed that the stature of Indonesian subjects in this study agreed with previous study in 2010 for both male and female. Stature comparisons with population from other nationalities showed that Indonesian population in this study are taller than some Asian countries, but shorter than population from European country and USA. In addition, design implication regarding anthropometric database in this study was also discussed.

Research paper thumbnail of Heart Sound Processing for Early Diagnostic of Heart Abnormalities using Support Vector Machine

Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer, Jun 30, 2024

Research paper thumbnail of Penggunaan ETAP 12.6 Sebagai Alat Bantu Dalam Memilih Setting OCR Untuk Melindungi Kelangsungan dan Kestabilan Energi Listrik

Jurnal Elektro/Jurnal Elektro, Jan 15, 2024

In this time electrical energy is one of the most energy used. In industry electrical energy beco... more In this time electrical energy is one of the most energy used. In industry electrical energy becomes a necessity that cannot be separated from the production process. Due to the need for electrical energy sources, of course, a protection system is needed to maintain the continuity and stability of electrical energy from existing disturbances such as short circuit disturbances. To overcome the short circuit, OCR is used. To assist the process of calculating loadflow and short-circuit current, ETAP12.6 is used. The results of the analysis of the ETAP 12.6 will be compared with the data obtained in the field with the aim of analyzing whether the use of the ETAP 12.6 software in assisting calculations and analysis in the selection of OCR settings. The difference in ocr settings in the ETAP 12.6 and field data has a difference of less than 2%. This difference is relatively small and can still be used to help the process in selecting the OCR settings.

Research paper thumbnail of Simulasi Sistem Pengendalian Motor Stepper dengan Metode Pulse Width Modulation

Jurnal Elektro/Jurnal Elektro, Jan 15, 2024

This paper discusses the control of a stepper motor using Pulse Width Modulation (PWM) methods. I... more This paper discusses the control of a stepper motor using Pulse Width Modulation (PWM) methods. In this paper, the author presents two designs: one using a stepper motor controller with an astable multivibrator as a pulse generator and the other utilizing a microcontroller as the pulse generator. The design of the stepper motor controller with an astable multivibrator involves using the IC timer 555 to control the stepper motor speed and a latch circuit to control the direction of the stepper motor rotation. Meanwhile, the design of the stepper motor controller with a microcontroller employs the Arduino UNO R3 to control both the direction and speed of the stepper motor. Testing is conducted through a simulation of the system design using Proteus software. From the test results, it is observed that an increase in the PWM value leads to a faster rotation speed of the stepper motor, conversely, a decrease in PWM value results in a slower rotation speed of the stepper motor.

Research paper thumbnail of Simulasi Pengendalian Kecepatan Putar Motor DC Menggunakan Metode Logika Fuzzy

Metris, Sep 7, 2023

This paper discusses DC motor rotational speed control using fuzzy logic method. The system works... more This paper discusses DC motor rotational speed control using fuzzy logic method. The system works by utilizing ultrasonic sensors to detect distance. The detected distance affects the rotational speed of the DC motor which is controlled by the Arduino UNO microcontroller. Fuzzy logic is applied to the Arduino UNO microcontroller in which distance as the input, and the rotational speed of the DC motor in the form of Pulse Width Modulation as the output. There are several classifications of distance: very close, close, normal, far and very far. In addition, there are several classifications in the motor rotational speed response: slow, very slow, medium, fast, and very fast. The design of the fuzzy logic system is carried out in the Arduino IDE application and MATLAB using the Mamdani method at the inference stage. Fuzzy logic system is run on the Arduino UNO microcontroller in which the simulation is carried out through Proteus application. The test results show that the largest percentage of errors/discrepancies between the Proteus system design and the MATLAB is 1.55%. In the future, this simulation can be applied to systems such as selfdriving cars.

Research paper thumbnail of Rancang Bangun Fasilitas Cuci Tangan Pintar Untuk Lembaga Bimbingan Belajar Hikari

Jurnal Pengabdian Masyarakat Charitas, Dec 20, 2023

Indonesia is one of the countries affected by the COVID-19 pandemic. One of the most effective wa... more Indonesia is one of the countries affected by the COVID-19 pandemic. One of the most effective ways to prevent the spread of the COVID-19 virus is by regularly washing hands with soap for 20 seconds. With the pandemic conditions improving and the government lifting COVID restrictions, learning institutions can continue learning activities with the requirement that they obey strict health protocols. One of the private tutoring institutions in Tangerang that has resumed operations is Hikari Private Tutoring. With many people using the same facilities for educational activities, Hikari Private Tutoring is required to provide facilities for washing hands. Based on the inputs from Hikari Private Tutoring management, a touchless hand-washing facility was designed to minimize COVID-19 transmission. The hand washing facility also has an LCD to play videos of correct hand washing procedures and show how long the user has washed their hands. At the end of this activity, the manager and staff of Hikari Private Tutoring were asked to fill out a questionnaire. The results showed that they were satisfied with the functionality of the touchless hand-washing facilities. This handwashing facility can hopefully help educate the public, particularly the staff and students of Private Tutoring, on the correct technique to wash their hands and prevent the spread of COVID-19.

Research paper thumbnail of Analysis of Electric Power Consumption in FTTH Network by Reducing Amount of Node HFC (A Case Study PT. Link)

Zenodo (CERN European Organization for Nuclear Research), Sep 15, 2023

Using stable power in the infrastructure network of Hybrid Fiber Coaxial (HFC) NODEs is a major c... more Using stable power in the infrastructure network of Hybrid Fiber Coaxial (HFC) NODEs is a major concern and a priority. A NODE is an active device that requires a supply of electrical energy to operate. The same applies to outdoor cabinets. This is where the active equipment of the Fiber-to-the-Home (FTTH) network is located. An outdoor cabinet as the location of active devices in the Fiber To The Home network becomes a system for efficient power consumption of the Fiber To The Home network in a hybrid fiber coaxial network. Electrical loads such as DC power systems, air conditioning (Aircond), optical line termination (OLT), and switches are the major electrical loads that require power in outdoor Fiber To The Home (FTTH) closets. Research suggests that FTTH networks are more energy efficient than HFC networks, using up to 70% less energy per user. This ongoing study focuses on demonstrating the impact of the network reconstruction conversion process on the power consumption efficiency of an existing network, Hybrid Fiber Coaxial (HFC), to his FTTH (Fiber To The Home) network. And the savings in monthly electricity bills with continued use of HFC technology are about 16% of the monthly bill.

Research paper thumbnail of Characteristics and Cost Efficiency Analysis of an IoT- based Smart Breaker used as Automation in Buildings

Zenodo (CERN European Organization for Nuclear Research), Jul 1, 2023

This research analyzes the working system of an Internet of Things-based smart breaker equipment ... more This research analyzes the working system of an Internet of Things-based smart breaker equipment used as a building automation system for application in the Boarding House Ampera building in Jakarta, Indonesia. This research was obtained from PT. Benih Par Sada, based on the request of the building owner, wanted to try a developing control system at a relatively affordable price. In Indonesia, there are already several providers of IoT-based control equipment, with varying prices offered by these providers. Therefore, this analysis of the working system focuses on cost efficiency and functional similarities of the smart breaker equipment compared to the building automation system commonly implemented in buildings in Indonesia.

Research paper thumbnail of Spooling Device Optimization with IP Camera and Active Infrared Sensor

ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika

Desain yang sangat padat pada lokasi gulungan kabel streamer pada kapal seismik dapat menimbulkan... more Desain yang sangat padat pada lokasi gulungan kabel streamer pada kapal seismik dapat menimbulkan titik-lemah karena lokasinya di tengah geladak dan area kerja operator di geladak belakang. Hal ini meningkatkan risiko kerusakan peralatan dan risiko terhadap keselamatan operator. Operator harus berjalan bolak-balik atau menugaskan operator lain untuk memantau gulungan kabel streamer yang berarti diperlukan waktu tambahan selama pengoperasian. Kedua opsi tersebut berkontribusi terhadap paparan ekstra risiko keselamatan dan penggunaan operator yang tidak efisien. Pada penelitian ini IP camera digunakan untuk memonitoring gulungan kabel streamer dan active infrared sensor digunakan untuk mendeteksi titik lemah. Desain sistem yang diimplementasikan ini mengurangi titik lemah sehingga mengurangi risiko keselamatan, meningkatkan efisiensi waktu, dan mencegah kerusakan peralatan.

Research paper thumbnail of Application Smart Breaker System based on IoT for Lighting System at Building

Zenodo (CERN European Organization for Nuclear Research), Jul 1, 2023

This research is in the form of designing and applying an IoT-based smart circuit breaker control... more This research is in the form of designing and applying an IoT-based smart circuit breaker control circuit in lighting systems that will be applied to buildings. Where a trial of a series of control circuits based on IoT is carried out, before being applied to buildings. Equipment used as an IoT-based smart solver. This research is in the form of design, equipment details and application results of the IoT-based smart breaker control circuit.

Research paper thumbnail of Survey Paper: Optimization and Monitoring of Kubernetes Cluster using Various Approaches

Sinkron

This research compares different methods for optimizing and monitoring Kubernetes clusters. Three... more This research compares different methods for optimizing and monitoring Kubernetes clusters. Three referenced journals are analyzed: "Kubernetes cluster optimization using hybrid shared-state scheduling framework" by Oana-Mihaela Ungureanu, Călin Vlădeanu, Robert Kooij; "Monitoring Kubernetes Clusters Using Prometheus and Grafana" by Salma Rachman Dira, Muhammad Arif Fadhly Ridha; and "Cluster Frameworks for Efficient Scheduling and Resource Allocation in Data Center Networks: A Survey" by Kun Wang, Qihua Zhou, Song Guo, and Jiangtao Luo. These journals explore various approaches to optimizing and monitoring Kubernetes clusters. This review concludes that selecting appropriate technologies for optimizing and monitoring Kubernetes clusters can enhance performance and resource management efficiency in data centre networks. The research addresses the problem of improving Kubernetes cluster performance through optimization and efficient monitoring. The requi...

Research paper thumbnail of Perbaikan Kondisi Keseimbangan Lintasan Produksi Dengan Penerapan Metode Genetic Algorithm Pada Lintasan Produksi Muffler K-59J PT XYZ

Metris: Jurnal Sains dan Teknologi, Aug 6, 2022

PT. XYZ is an automotive manufacturing company that has been working as a supplier of automotive ... more PT. XYZ is an automotive manufacturing company that has been working as a supplier of automotive parts to several company in Indonesia. Most of the production line is already good enough, but there is one of their sub product that has problems in their production process. The sub product is muffler K-59J. There are problems on its production line such as bottleneck, overtime. Another problem can be seen from the data, that its line efficiency is only 58,81 %. Thus, this study aims to improve the performance of the production line. Therefore, a computerized Genetic Algorithm method is proposed to improve its performance. The Genetic Algorithm process is made using matlab software. In the process, several stages are carried out starting from making a genetic representation, selecting parents, making the recombination and mutation process, and regenerating the population. But in this study, the generate population process is filtered into the two process. So the output of the population is already qualified for the line balancing requirements. From the results of the Genetic Algorithm method, it is found that the efficiency of the path is 74.07 % with a total of 18 work stations. thus the value of the efficiency of the path was successfully increased by 15.26%.

Research paper thumbnail of Implementation of PVWatts Software for Design of Roof Solar Panels at the Faculty of Engineering, Subang University

2022 11th Electrical Power, Electronics, Communications, Controls and Informatics Seminar (EECCIS)

Research paper thumbnail of Cognitive Artificial Intelligence Method for Interpreting Transformer Condition Based on Maintenance Data

Advances in Science, Technology and Engineering Systems Journal, 2017

Aciek-Sembiring) is a method of information fusion at a single observation and OMA3S(Observation ... more Aciek-Sembiring) is a method of information fusion at a single observation and OMA3S(Observation Multi-time A3S) is a method of information fusion for time-series data. This paper proposes OMA3S-based Cognitive Artificial-Intelligence method for interpreting Transformer Condition, which is calculated based on maintenance data from Indonesia National Electric Company (PLN). First, the proposed method is tested using the previously published data, and then followed by implementation on maintenance data. Maintenance data are fused to obtain part condition, and part conditions are fused to obtain transformer condition. Result shows proposed method is valid for DGA fault identification with the average accuracy of 91.1%. The proposed method not only can interpret the major fault, it can also identify the minor fault occurring along with the major fault, allowing early warning feature. Result also shows part conditions can be interpreted using information fusion on maintenance data, and the transformer condition can be interpreted using information fusion on part conditions. The future works on this research is to gather more data, to elaborate more factors to be fused, and to design a cognitive processor that can be used to implement this concept of intelligent instrumentation.

Research paper thumbnail of Smart Room Monitoring Menggunakan Mit App Inventor Dengan Koneksi Bluetooth

Jurnal Elektro, 2020

This study aims to design a smart room monitoring system (smart room) to determine the condition ... more This study aims to design a smart room monitoring system (smart room) to determine the condition of the room in the house. This smart room system is based on Bluetooth and is assisted by the MIT App Inventor application which can do remote monitoring. This system is controlled by the Arduino Mega microcontroller which is connected to the sensor and Bluetooth. The sensors used are MQ2 to detect gas leaks, LM35 to detect room temperature, and PIR sensors to detect human presence. The MQ2 Sensor is placed near the LPG gas canisters, the PIR sensor is placed at entrance, while the LM35 sensor is placed at the center of the room, with neither direct blow from the Air Conditioner nor direct exposure to sunlight. Experiment shows that the sensor and the system work, and the application can also be connected to the system so that the sensors are monitored. In the MIT App Inventor application, the data received from Bluetooth is a PIR sensor that detects the presence of people in the room, t...

Research paper thumbnail of Cognitive artificial-intelligence for doernenburg dissolved gas analysis interpretation

TELKOMNIKA (Telecommunication Computing Electronics and Control), 2019

This paper proposes Cognitive Artificial Intelligence (CAI) method for Dissolved Gas Analysis (DG... more This paper proposes Cognitive Artificial Intelligence (CAI) method for Dissolved Gas Analysis (DGA) interpretation adopting Doernenburg Ratio method. CAI works based on Knowledge Growing System (KGS) principle and is capable of growing its own knowledge. Data are collected from sensors, but they are not the information itself, and thus, data needs to be processed to extract information. Multiple information are then fused in order to obtain new information with Degree of Certainty (DoC). The new information is used to identify faults occurred at a single observation. The proposed method is tested using the previously published dataset and compared with Fuzzy Inference System (FIS) and Artificial Neural Network (ANN). Experiment shows CAI implementation on Doernenburg Ratio performs 115 out of 117 accurate identification, followed by Fuzzy Inference System 94.02% and ANN 78.6%. CAI works well even with small amount of data and does not require trainings.

Research paper thumbnail of Transformer performance calculation using information fusion based on DGA interpretation

2016 International Symposium on Electronics and Smart Devices (ISESD), 2016

This paper discusses about transformer performance calculation using information fusion algorithm... more This paper discusses about transformer performance calculation using information fusion algorithm. DGA data is interpreted using OMA3S information fusion to recognize fault occurring in the oil. Observed gas to be interpreted in this paper are hydrogen, acetylene, and carbon monoxide, since they are combustible. The result is used to find weight of each sensor to calculate performance. Information Fusion can be used to perform performance calculation using

Research paper thumbnail of Interpreting DGA Key Gas using Fuzzy OMA3S

2016 International Symposium on Electronics and Smart Devices (ISESD), 2016

This paper discusses about interpreting DGA key gas using Fuzzy OMA3S. DGA key gas data is compar... more This paper discusses about interpreting DGA key gas using Fuzzy OMA3S. DGA key gas data is compared to standard and put into condition group. Each group is given score and is assigned to the corresponding fault in the observation matrix. The next step is to calculate New Knowledge Probability Distribution (NKPD) on each observation, which is the maximum value of a group of sensors that indicates each hypothesis. To show Knowledge growth, NKPD over Time (NKPDT) is used. At the last observation, the hypothesis with the highest value of NKPDT becomes the DoC. The goal of this paper is to compare the crisp logic of the conventional OMA3S and the Fuzzy logic OMA3S in interpreting 6-sensor-4-hypothesis DGA.

Research paper thumbnail of Cognitive artificial intelligence method for measuring transformer performance

2016 Future Technologies Conference (FTC), 2016

In this paper, we calculate transformer end-of-life estimation using OMA3S information fusion alg... more In this paper, we calculate transformer end-of-life estimation using OMA3S information fusion algorithm. We use two parameters, transformer condition and gradient of condition, which are calculated using condition-Based Sampling Period method. Condition generated randomly, while the gradient of condition is calculated using two conditions from current observation and previous observation. This condition is used to determine the sampling period of the measurement data collected from sensors. The sampling period will be decreased if the condition of the transformer deteriorates. The tangent of the condition will be used to estimate transformer end-of-life. Simulation shows transformer end-of life can be estimated using OMA3S method on condition and the gradient of condition.

Research paper thumbnail of Transformer end-of-life estimation using condition-Based Sampling Period Method

2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2015

This paper discusses transformer end-of-life estimation using condition-Based Sampling Period met... more This paper discusses transformer end-of-life estimation using condition-Based Sampling Period method. Condition of the transformer is randomly generated. This condition will be used to determine the sampling period of the measurement data collected from sensors. The observation interval will be decreased if the condition of the transformer deteriorates fast. The tangent of the condition will be used to estimate transformer end-of-life. Simulation shows transformer end-of life can be estimated using this method and the next observation can be determined according to the gradient of condition.

Research paper thumbnail of Anthropometric study of Indonesian university students in Jakarta

2015 International Conference on Industrial Engineering and Operations Management (IEOM), 2015

This study aims to present anthropometric dimensions of Indonesian university students. The resea... more This study aims to present anthropometric dimensions of Indonesian university students. The research was conducted in Metropolitan Area of Jakarta, Indonesia. One hundred and twenty five subjects (60 male and 65 female) age between 18 - 23 years old were participated. Sixty anthropometric data of the subject were measured by using anthroscan, the most update and high-tech instrument. The mean, standard deviation (SD) and percentile values for each body dimensions were calculated and presented. Results of t-test showed that the stature of Indonesian subjects in this study agreed with previous study in 2010 for both male and female. Stature comparisons with population from other nationalities showed that Indonesian population in this study are taller than some Asian countries, but shorter than population from European country and USA. In addition, design implication regarding anthropometric database in this study was also discussed.