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<![CDATA[Sistem Deteksi Perpindahan Kendaraan Bermotor Berdasarkan Data GPS dan Sensor IMU Menggunakan Naive Bayes ]]>
<![CDATA[Wirafadil Nugraha]]>;
<![CDATA[Dahnial Syauqy]]>;
<![CDATA[Agung Setia Budi]]>
<![CDATA[ Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 1 (2021): Januari 2021 ]]>
Publisher : <![CDATA[Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya ]]>
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<![CDATA[The security system in vehicles is something that must be considered because vehicles are often stolen which results in losses to the vehicle owner. Ease of control and a security system that can be monitored using only one communication device such as a mobile phone that can support a wireless connection is an opportunity to develop a vehicle security system. By designing a vehicle displacement detection system based on GPS data and the IMU sensor, it will become a more accurate tool to determine the condition of vehicles. In order for the system to classify the current situation more accurately, the Naive Bayes algorithm is applied. The use of GPS data in this study uses the NEO-6M module because a vehicle must be closely related or always have a coordinate location as long as it is within satellite coverage. This data is used as input along with data from the IMU sensor used in this study using the GY-61 accelerometer sensor. From this research test, the NE0-6M module has an accuracy value of 99.99%, the GY-61 sensor has an accuracy of 87,68%, and the SIM800 module can functionally run well. In the classification process that using Naive Bayes, an accuracy of 95% is obtained.]]>
<![CDATA[Implementasi Self-Tuning Pada Sistem Database Untuk Meningkatkan Kinerja Query Dengan Menggunakan Metode Gradient Descent ]]>
<![CDATA[Zaky Farsi]]>;
<![CDATA[Agung Setia Budi]]>;
<![CDATA[Rakhmadhany Primananda]]>
<![CDATA[ Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 1 (2021): Januari 2021 ]]>
Publisher : <![CDATA[Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya ]]>
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<![CDATA[Self-tuning the database system is a database performance improvement process that focuses on the timing of queries performed by the database. Self-tuning determines the parameter value to be used by the database based on the query time generated by the database. Self-tuning is known as a system that helps improve performance with human assistance or without human intervention. Self-tuning itself can only be used on systems whose performance can be improved, one of which is the database. Therefore, in this study we propose a new self-tuning system using the Gradient Descent method. In the first stage, we determine the parameters that can affect the performance of the database by paying attention to the response time value of the query when changes to the parameters are made. In this self-tuning database research with the Gradient Descent method, the parameters used are buffer_pool_size, read_io_threads, write_io_threads and io_capacity. Each of these parameters will be processed in the self-tuning system and will output the query time and will be processed in the Gradient Descent method to determine the new parameter values. Self-tuning will be carried out on the MariaDB DBMS by using test data with a different number of iterations in each self-tuning process. The results of the self-tuning test with the Gradient Descent method get an increase in the value of each parameter with a number of iterations of 20.40, 60 and 100. From the test results, the increase in database performance itself shows an increase of 67.92% with an average query time of 20 seconds. at 80-100 iterations.]]>
<![CDATA[Implementasi Skema Anti-Collision Menggunakan Metode TDMA dan TPSN pada Sistem WSN Berbasis LoRa ]]>
<![CDATA[Fajar Hamid Embutara Ratuloli]]>;
<![CDATA[Agung Setia Budi]]>;
<![CDATA[Adhitya Bhawiyuga]]>
<![CDATA[ Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 1 (2021): Januari 2021 ]]>
Publisher : <![CDATA[Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya ]]>
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<![CDATA[The usage of LoRa-based Wireless Sensor Network (WSN) overcomes a common problem of WSN, that its communication capabilities over a near range. LoRa is a radio spectrum modulation technology that accommodates long distances communication with low power consumption. But the current weakness of system, the delivery data is interfering with each other which causes data loss. Time Division Multiple Access (TDMA) method is used to avoid this problem. TDMA is a scheduling method that divides by timeslot, and it compatible with LoRa because it works on single frequency. In a TDMA implementation, all device times must be synchronized with each other so that sending scheduling can occur. Time Synchronization Protocol for Sensor Network (TPSN) method is used as a time synchronization method that supports the WSN system. The implementation of TPSN is divided into 2 phase, namely the Discovery Phase and the Synchronization Phase. Functionality testing is carried out so that the system can works as needed. The accuracy testing of time using the TPSN method obtained results of 79.7%. Performance testing of delivery scheduling using the TDMA method shows that the increase in delivery time is 28.37 milliseconds at sensor node 1 and an increase in delivery time is 37.11 milliseconds at sensor node 2.The success rate in delivery using the TPSN and TDMA methods is 96%.]]>
<![CDATA[Implementasi Pemrosesan Paralel untuk Ekstraksi Fitur QRS pada data Electrocardiography (ECG) menggunakan Algoritma Pan-Tompkins dengan Framework Renderscript ]]>
<![CDATA[Sabit Ihsan Maulana]]>;
<![CDATA[Agung Setia Budi]]>;
<![CDATA[Adhitya Bhawiyuga]]>
<![CDATA[ Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 3 (2021): Maret 2021 ]]>
Publisher : <![CDATA[Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya ]]>
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<![CDATA[Telemedicine technology is increasingly needed for remote patient health care. Especially for patients with a high risk/severe disease such as heart disease. Due to its important role and benefits, a lot of research has been carried out to improve this technology so that it's relevant with current state-of-the-art technologies. One of the latest technologies that have been adapted on telemedicine research is cloud computing. With this combination, CPU intensive task can be transferred to the cloud. However, a new problems arose. The resulting system now will always depend on the internet, while not all areas are covered or have a good internet connection. Therefore, this researcher proposes a QRS detection system with parallel processing on the edge device using the Pan-Tompkins algorithm and Renderscript framework. This system is an Android-based application that receives ECG data and then performs the QRS detection process by utilizing Renderscript to perform parallel processing. Execution time on the detection process will be measured to determine the difference in performance with serial processing. The results of the detection process will be compared to determine the level of accuracy of the system. A profiler application will also be used to find out the CPU Utilization level. In testing, the system obtained 3 times smaller execution time with an average processing speed of 301,340 row/second. The system also obtained a sensitivity value of 99.64% and a positive predictivity value of 99.47%. The average CPU utilization on the system is at 82%, 32% higher than serial counterpart.]]>
<![CDATA[Pengembangan Sistem Monitoring Smarthome Secara Pervasif Dengan Nodemcu Dan Smartphone ]]>
<![CDATA[Reva Ade Wardana]]>;
<![CDATA[Agung Setia Budi]]>
<![CDATA[ Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 2 (2021): Februari 2021 ]]>
Publisher : <![CDATA[Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya ]]>
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<![CDATA[Smarthome or what we usually call smart home is a house or building equipped with high technology that allows various systems and devices at home to communicate with each other. In Indonesia alone, smarthome technology is still in the introductory and familiarization stage to the community, the challenge of the smarthome concept is entering the realm of the smallest and most intimate community, namely the family, There are so many ways to implement a smarthome in daily life, such as the use of sensors to detect changes in the physical or chemical environment, turning on or turning off devices using smartphones, or simply monitoring the condition of the house remotely. In addition, the concept of IoT (Internet of Things) is one part that cannot be separated in the development of this technology, this concept can greatly help humans to streamline their time and help carry out activities with this problem. this system parameters are used to monitor. There are four sensors to monitor the state of the house, this system works automatically without user intervention. Then the Pervasive Computing method will communicate between Nodes. In this study the estimated time used for communication between nodes is approximately 4578- 5097ms.]]>
<![CDATA[Pengenalan Perangkat Dan Sensor Secara Otomatis Menggunakan Metode Scanning Pada Komunikasi I2c ]]>
<![CDATA[Noor ilmi]]>;
<![CDATA[Agung Setia Budi]]>
<![CDATA[ Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 2 (2021): Februari 2021 ]]>
Publisher : <![CDATA[Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya ]]>
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<![CDATA[Currently, many vendors create products that make it easier for users to make IoT devices, especially sensors and microcontrollers. A sensor is an electronic device that can be used to sensing a situation around us and a microcontroller is used to help process data and as a communication line between sensors one and another. Because there are many different vendors, the more sensors are created and the more needs that use multiple sensors from different vendors are combined into one for a specific purpose. Therefore, something is needed to connect between various sensors from various vendors. sometimes has its own configuration. Based on this, a microcontroller is needed to bridge sensors to one another and can recognize these sensors automatically. And the communication line used is I2C (Intergrated Circuit) which is connected using SDA (Serial Data) and (Serial Clock) ). And from the results of testing the microcontroller is able to recognize the connected sensor.]]>
<![CDATA[Sistem Monitoring Struktur Jembatan dengan metode Real Time Operating System (RTOS) ]]>
<![CDATA[Komang Deha Abhimana Kader]]>;
<![CDATA[Agung Setia Budi]]>
<![CDATA[ Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 2 (2021): Februari 2021 ]]>
Publisher : <![CDATA[Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya ]]>
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<![CDATA[Real Time Operating System (RTOS) is a new breakthrough for running multitasking processes on embedded systems. RTOS introduces the concept of Real Time, which means that the system does all existing tasks according to the specified time so that no task is carried out beyond the specified time limit. RTOS can be implemented in various fields that require a high degree of modularity, have limited resources and have a response time to events. One example is in the field of infrastructure monitoring which requires dentification of various types. Examples of infrastructure such as bridges. To implement RTOS in monitoring bridge structures using freeRTOS. FreeRTOS which is implemented uses three tasks in all sensor nodes where the first functions to monitor the load, deflection and strain on the last bridge, each task displays all data results to the computer using the serial monitor on the Arduino Uno. The data displayed in the form of loads, changes in the drop point in the middle of the bridge and changes in strain that occur on the bridge. The sensors used in monitoring the bridge prototype include load cell sensors for load measurement with the HX711 module, accelerometer sensors for deflection measurements and ultrasonic sensors for strain measurements with the Arduino Uno micocontroller. In the bridge prototype, the load is carried out three times with a load of 0 kg, 5 kg and 10 kg. The results of the loading obtained from the load, strain and deflection that occur. Then get the accuracy and response time of each task at the sensor node. From the test results, FreeRTOS has an average time of 1ms faster than without FreeRTOS and the accuracy of the sensor readings using FreeRTOS is closer to the desired result.]]>
<![CDATA[Perancangan Sistem Monitoring Konsumsi Listrik Dan On/Off Stop Kontak Pada Smarthome Dengan Media Komunikasi Bluetooth Low Energy ]]>
<![CDATA[Bisma Surya Mahendra]]>;
<![CDATA[Agung Setia Budi]]>
<![CDATA[ Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 2 (2021): Februari 2021 ]]>
Publisher : <![CDATA[Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya ]]>
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<![CDATA[1,084 kWh / capita is the large amount of electricity use in Indonesia in 2019. Efforts to determine electricity consumption and control of electrical equipment require technology with monitoring and control functions on / off of electrical equipment. By implementing a smart home system it can reduce user efforts in carrying out these activities. To carry out monitoring and control activities, a wireless sensor network is needed to connect users and electrical equipment. One of the JSN communication modules is Bluetooth low energy (BLE). Implementation of the system using ESP32 as a server that supports BLE. Data acquisition is carried out by 2 ACS712 sensors and a ZMPT101B sensor. 2 relay modules as switches and the nRF Connect application as a place client. Users use the client application for monitoring and control of electrical equipment. Testing is done to see system performance. In functional testing all system functions can run smoothly. Testing the accuracy of the voltage and current sensors get results with an error value of 1.23% and 22.93% and the second sensor gets an average error percentage of 29.33%. The client server pairing test got an average time of 0.763ms in the distance scenario and 0.704ms in the closed room scenario. The success of the system in testing with a packet delivery ratio parameter of 75% in each scenario. Performance testing with round trip time parameters obtained the smallest RTT value of 0.00728ms at a distance of 5 meters. And RTT in a closed room scenario is obtained with the smallest time at position A of 0.0064ms. The time for data transmission will be longer if the distance between the client and server is getting farther. The maximum system connection distance is 15 meters.]]>
<![CDATA[Deteksi Tangga Turun, Tangga Naik, dan Lantai menggunakan Gray Level Co-Occurrence Matrix dan K-Nearest Neighbors berbasis Raspberry Pi ]]>
<![CDATA[Ester Nadya Fiorentina Lumban Gaol]]>;
<![CDATA[Fitri Utaminingrum]]>;
<![CDATA[Agung Setia Budi]]>
<![CDATA[ Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 2 (2021): Februari 2021 ]]>
Publisher : <![CDATA[Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya ]]>
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<![CDATA[A smart wheelchair is a mobility aid that is easy to operate and aids in its users' independence. In its development, the smart wheelchair design not only pays attention to the aspect of convenience but also in terms of safety. Any obstacles that include accessibility obstacles in the environment must be detectable by a smart wheelchair to increase safety. One of these accessibility obstacles is the sudden change in the level of surfaces such as stairs. This research aims to create a system capable of detecting stairs descent, stairs ascent, and floors using the Gray Level Co-occurrence Matrix (GLCM) method to obtain the extraction of characteristic features from stairs descent, stairs ascent, and floors. Then applies the K-Nearest Neighbors (K-NN) classification method to predict what states are detected. Using the GLCM methods with 4 feature (contrast, dissimilarity energy, and homogeneity), distance (d) = 4, q=90° and K-NN with k=4, the system obtained an average accuracy of 93.33% and an average computation time of 1551ms.]]>
<![CDATA[Implementasi Sinkronisasi Waktu Antar Bluetooth Low Energy Device menggunakan Metode Timing-Sync Protocol for Sensor Network ]]>
<![CDATA[Muhammad Fachri Hasibuan]]>;
<![CDATA[Agung Setia Budi]]>;
<![CDATA[Rakhmadhany Primananda]]>
<![CDATA[ Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 2 (2021): Februari 2021 ]]>
Publisher : <![CDATA[Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya ]]>
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<![CDATA[Technological developments encourage the use of wireless networks and Wireless Sensor Network systems more and more. However, The problem with Wireless Network technology is the time difference between one node and another, on WSN each node communicates with the same frequency but has different local times, therefore there is a need for time synchronization. Time synchronization is a method for synchronizing the time on nodes on a network. There are several types of time synchronization, but this research focuses on the Timing-sync Protocol for Sensor Network (TPSN) method which is implemented over a wireless network using Bluetooth Low Energy (BLE) communication. The advantages of Bluetooth Low Energy are low power usage and efficiency, data transmission speeds of up to 1Mb / s and the potential for technology that continues to grow. This research using 3 BLE nodes which divided into 1 Server and 2 clients. This system uses ESP 32 as a microcontroller for data processing and Real Time Clock (RTC) as a timer for each nodes. The server node functions as a data exchange, and as the root node. The client node will request a request for synchronization to the server and the server will provide its local time as the reference time. From the implementation results, the error test data was obtained 30 times with the results of an average error value of 10.36 ms and synchronization testing as well as computation time was obtained 10 times with an average value of accuracy offset of 2.65 ms and Propagation Delay 16.85 ms, the computational average value is 102.3ms.]]>
