Garuda - Garba Rujukan Digital

Prototipe Sistem Keamanan Parkir berbasis Teknologi RFID Sasmita Eko Raharjo; Agung Setia Budi; Edita Rosana Widasari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 3 (2022): Mei 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Parking is a process for every vehicle that stops at a certain place. Parking areas owned by agencies, institutions, and institutions should prioritize service and security for the sake of parking eligibility. The parking system that has been implemented so far is still being implemented with limited number of human guards, so it has many loopholes for theft to occur without the vehicle owner knowing. RFID technology is a solution for today in solving the problem of theft and contactless technology. Several studies have been conducted, many of which are used only as a parking area monitoring tool. The lack of a system/tool that is usually used to respond when a vehicle is lost belonging to a parking area user is a problem for both the parking area owner and the vehicle owner. This security system is made using RFID technology, Load-Cell sensors, and GSM modules as a solution to related problems. From the manufacture of the system, of course, it is necessary to test the problem of delay or response speed when a theft occurs. The results of the tests and analyzes carried out get pretty good numbers, namely around 2 seconds to provide notification in the form of SMS to vehicle owners, and about 5 seconds for the system to close the portal when it is open. The response given is the result of data transactions from the sensor node to the Gatekeeper node using the ESP-NOW protocol communication. The Gatekeeper node is also used to communicate with the basis data, in terms of verifying whether the user is registered or not. Registered user data will of course be recorded when accessing the parking area when entering or exiting and displayed on a web page.

Pengendalian Kelembaban dan PH pada Alat Semai Otomatis berdasarkan Sensor Kelembaban, PH, dan Arduino menggunakan Regresi Linier Dody Kristian Manalu; Hurriyatul Fitriyah; Edita Rosana Widasari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 4 (2022): April 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Humidity and acidity (PH) are essential factors because if rockwool is too acidic not moist or dry the plant growth rate will be slower. A pH that is too acidic or alkaline can result in the deposition of nutrients and inorganic substances in hydroponics so that plant growth is less than optimal. Temperature also plays an important role in plant growth. With this the author will create a system using a Soil Moisture sensor a PH-4502C sensor and a Linear Regression method that is connected to the Arduino Uno and will issue an output that is flowing water through a water pump with the condition that the humidity in the rockwool has not met the set point as well as for the pH will flow PHUP water if the pH conditions on Pakcoy plants are low and will flow PHDOWN if the pH conditions on Pakcoy plants are high. For this system there are 25 training data including 20 data as training data and 5 data as test data. The results obtained from the Linear Regression test are MAPE and RMSE for humidity 5,1% and 0.12 while for PH are 5,2% and 0.17 and the results of Pakcoy seed plants can grow perfectly as expected.

Simulasi Algoritme Hector SLAM untuk Pemetaan 2D pada Quadcopter berbasis ROS Selina Kusmiawati; Eko Setiawan; Edita Rosana Widasari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 5 (2022): Mei 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Quadcopter is an Unmanned Aerial Vehicle (UAV) that is deployed to operate in areas that are not maximally accessible by Unmanned Ground Vehicles (UGV) in geographic structures that have been distorted due to natural disasters. Quadcopter requires the ability to recognize the surrounding environment by using a map. A map is a set of features that describe the environment such as walls, obstacles, landmarks, etc. Maps are relatively easy to make in a static environment, but in a disaster-damaged environment, maps will be more difficult to create because the environment has changed. The solution to this problem is that the quadcopter must be able to build its own environmental map. To build a map, a mapping process is needed that can be done using Simultaneous Localization and Mapping (SLAM). Hector SLAM is one of the SLAM algorithms which works based on scan matching technique and without odometer. Simulations were carried out to test the 2D mapping results from the Hector SLAM algorithm. The mapping was carried out with a LiDAR sensor embedded in the quadcopter and tested in 3 different environments. Simulations were carried out with 3D Gazebo and Rviz simulators based on Robot Operating System (ROS). There are 36 test scenarios carried out with the best map accuracy obtained with a Structural Similarity Index (SSIM) value of 0.78, Mean Squared Error (MSE) value of 5344.1, and Pixel Matching percentage of 89.59%.

Simulasi Algoritme Hector SLAM untuk Pemetaan 2D pada Quadcopter berbasis ROS Selina Kusmiawati; Eko Setiawan; Edita Rosana Widasari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 5 (2022): Mei 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Quadcopter is an Unmanned Aerial Vehicle (UAV) that is deployed to operate in areas that are not maximally accessible by Unmanned Ground Vehicles (UGV) in geographic structures that have been distorted due to natural disasters. Quadcopter requires the ability to recognize the surrounding environment by using a map. A map is a set of features that describe the environment such as walls, obstacles, landmarks, etc. Maps are relatively easy to make in a static environment, but in a disaster-damaged environment, maps will be more difficult to create because the environment has changed. The solution to this problem is that the quadcopter must be able to build its own environmental map. To build a map, a mapping process is needed that can be done using Simultaneous Localization and Mapping (SLAM). Hector SLAM is one of the SLAM algorithms which works based on scan matching technique and without odometer. Simulations were carried out to test the 2D mapping results from the Hector SLAM algorithm. The mapping was carried out with a LiDAR sensor embedded in the quadcopter and tested in 3 different environments. Simulations were carried out with 3D Gazebo and Rviz simulators based on Robot Operating System (ROS). There are 36 test scenarios carried out with the best map accuracy obtained with a Structural Similarity Index (SSIM) value of 0.78, Mean Squared Error (MSE) value of 5344.1, and Pixel Matching percentage of 89.59%.

Rancang Bangun Sistem Portabel untuk Klasifikasi Cendol Merah Mengandung Rhodamin B menggunakan Metode Jaringan Syaraf Tiruan Muhammad Fadhil Sadeli; Dahnial Syauqy; Edita Rosana Widasari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 6 (2022): Juni 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Cendol is a traditional West Javanese drink made from hunkwe flour or mung bean flour. Cendol that is often found is green cendol. However, there are also cendol sellers who use red cendol derived from food coloring or agar powder. However, there are still cendol sellers who add synthetic dyes containing Rhodamin B to cendol as a dye. Because the price is relatively cheap and makes the color more striking so that buyers become interested in buying the cendol. Rhodamine B is a synthetic dye in the form of a crystalline powder, green in color, odorless, and fluoresces in a bright red solution. Rhodamine B is very dangerous if consumed and inhaled which can cause liver function disorders, cancer, irritation of the respiratory tract, skin, and eyes. The misuse of these dyes occurs due to a lack of public knowledge about how to distinguish food coloring from Rhodamine B dye and the dangers of its use. Therefore, the researchers designed a system that can classify cendol containing Rhodamine B based on color. The system is built with a portable design for efficiency and portability. This system uses a power bank as a resource, then uses a TCS3200 sensor to determine the RGB value of the cendol color, a 16x2 LCD with I2C to display the output and classification results of the system, Arduino uno as a microcontroller to process data and calculate classifications, and an Artificial Neural Network (ANN). as a classification method. This system utilizes 50 sets of training data, 25 sets of test data for the ANN method, and 15 sets of test data for the whole system. Based on the results of the tests carried out, the accuracy of the Artificial Neural Network method was 96.08% with an average computation time of 58 ms and an overall system accuracy of 93.34%.

Implementasi YOLO versi 3 untuk Mengidentifikasi dan Mengklasifikasi Sampah Kantor berbasis NVIDIA Jetson Nano Onky Soerya Nugroho Utomo; Fitri Utaminingrum; Edita Rosana Widasari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 6 (2022): Juni 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Waste has become a problem that is always found in several big cities in Indonesia. Waste management in Indonesia has not been effective in dealing with the increasing amount of waste. One type of waste that continues to grow is office waste which is common in urban areas. Office waste is inorganic waste generated from the activities of office employees. The office waste generated can cause problems in the environment if it is not managed properly, it is necessary to manage waste by sorting waste according to its type. In this study, we design a classification of office waste in the form of paper, plastic bottles, and cans to sort waste according to categories. This office waste classification process uses the YOLO algorithm or You Only Look Once. The YOLO algorithm or You Only Look Once is one of the algorithms used to detect an object in real-time. Based on the results of the tests that have been carried out for object detection, the accuracy results are 94%. After that, the integration test for the classification system obtained an accuracy of 97.3% and for testing the computational time for the classification system the best value for the computational time was 0.271 seconds.

Klasifikasi Frekuensi Penggunaan Minyak Goreng Ikan dan Tahu menggunakan Metode Jaringan Syaraf Tiruan berbasis Arduino Aulia Zhafran; Dahnial Syauqy; Edita Rosana Widasari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 6 (2022): Juni 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Palm cooking oil which belongs to the basic food category (SEMBAKO) is a food element made from triglycerides derived from palm oil. Yellow to orange is the normal color found in palm cooking oil. Using the same cooking oil continuously can reduce the quality of the cooking oil and can be dangerous for the health of consumers. Frequency classfication system is needed to find the accurate amount of used cooking oil. The parameters used in the classification process are color and turbidity which are tested using a TCS3200 sensor to process and measure color and an LDR sensor to process and measure the level of turbidity of cooking oil connected to Arduino Uno and use the Artificial Neural Network (ANN) classification method. The classification results are divided into 7 classes, namely pure oil, 1 time fish frying, 2 fish frying, 3 fish frying, 1 times tofu frying, 2 times tofu frying, and 3 times tofu frying. The classification results will be displayed on a 20x4 I2C lCD. Based on the test results, the accuracy of the color sensor is 98.827% and the LDR sensor can see the difference in the level of turbidity of a cooking oil so that the system can have an accuracy rate of 80% in computation time for 5,114 seconds after processing 70 training data and 20 test data.

Klasifikasi Kandungan Boraks pada Gendar menggunakan Sensor Warna dengan Metode Jaringan Syaraf Tiruan berbabsis Arduino Andhika Nino Pratama; Dahnial Syauqy; Edita Rosana Widasari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 6 (2022): Juni 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Gendar is one of the traditional foods typical of Central Java that can be found until now. The texture of the gendar itself is like rice cake or ketupat but is more chewy and has a more savory taste. In ancient times, the use of bleng salt or what is now called borax was commonly used in the process of making gendar because it can provide a savory taste of food and provide a legit and chewy texture as well as a preservative for gendar. Borax is a dangerous chemical compound which if consumed by the body does not cause an immediate reaction. The safe limit for the use of borax itself is 1 gram in 1 kg of food and the fatal dose when consumed and enters the body for children is 3 - 6gr and for adults is 15 - 20gr. The rampant ignorance of the public regarding the safe limits of borax that enters the body has prompted researchers to design a system that can classify the borax content in gendar based on 3 classes, namely no borax, light borax, and heavy borax. The system utilizes Arduino Uno as a data processor and classification calculation, a color sensor that is used as a color detector for the gendar object being tested, and a 16x2 LCD to display the classification results. The classification process itself uses the backpropagation artificial neural network classification method. Based on the system testing process, of the 30 samples tested, 90% accuracy was obtained with the average computation time required by the backpropagation Neural Network in the classification process is 3057ms or 3 seconds and 0.057 seconds.

Rancang Bangun Sistem Pendeteksi Central Sleep Apnea menggunakan K-NN berbasis Arduino Bluetooth Module Qonita Luthfiyani; Edita Rosana Widasari; Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 8 (2022): Agustus 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Sleep apnea is a major problem with sleep disorders that cause partial or complete cessation of breathing during sleep. Detection of Central sleep apnea disease is considered important because this condition causes the body difficulty breathing in a short time at bedtime which will wake up the patient's sleep so that it will be difficult to sleep well and experience excessive drowsiness during the day. The National Sleep Foundation (NSF) suggests that about 20 percent of people experience excessive daytime sleepiness, which is caused by a person not getting enough sleep. However, central sleep apnea screening with polysomnography is ineffective because it requires a lot of sensors and must go to the hospital. The goal of the study was to create a system that could effectively detect central sleep apnea using recording physical activity only from the heart with ECG signals connected to a smartphone with bluetooth because people with Central sleep apnea correlate with cardiovascular disease. The system uses arduino UNO, ECG AD8232 sensor to record ECG signals, and HC-05 bluetooth module for wireless communication with smartphones. The system detects by taking the signal through the electrode then the signal result will be extracted using the RR interval feature and QRS duration and classified using the K-NN method. The results of the classification display are displayed on LCD and smartphone via bluetooth. The results shown are in the form of classes "Normal" or "Central sleep apnea". The resulting accuracy in testing with K-NN was 83.33% and the average K-NN compute time was 78,7 ms.

Sistem Kendali Intensitas Cahaya dan Kelembaban Tanah untuk Umbi Porang (Amorphophallus Oncophyllus) menggunakan Metode Logika Fuzzy Nur Syifa Syafaat; Hurriyatul Fitriyah; Edita Rosana Widasari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 9 (2022): September 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Porang is a tuber that has high mineral and glucomannan content, of which glucomannan used for the pharmaceutical, beverage, cosmetic, adhesive/glue, and textile industries. In 2018, 254 tons of porang tubers were exported, with a value of Rp. 11.31 billion. Porang has its own growing requirements, including the height of the planting area between 100-600 masl, temperature 25-35 Â°C, loose soil texture with high organic content, good air aeration, neutral pH between 6-7, requires about 30% shade, and soil moisture of about 40%. Therefore, planting to harvesting porang tubers can only be done once a year, planting during the rainy season and harvesting during the dry season. Due to this, a control system is needed for light intensity and soil moisture so that the cultivation of this porang plant is more optimal. This system uses a BH1750 sensor which functions to measure light intensity and a soil moisture sensor to measure soil moisture in plants. This system uses Arduino UNO as a controller for controlling light intensity and soil moisture. In testing on the fuzzy logic method, soil moisture data has an accuracy of 70% and light intensity has an accuracy of 80%, and on average both have an accuracy of 75%. In 10 trials the average time required is 1.799 seconds..

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