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INDONESIA
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Published by Universitas Brawijaya
ISSN : -     EISSN : -     DOI : -
Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering
Jurnal Pengembangan Teknlogi Informasi dan Ilmu Komputer (J-PTIIK) Universitas Brawijaya merupakan jurnal keilmuan dibidang komputer yang memuat tulisan ilmiah hasil dari penelitian mahasiswa-mahasiswa Fakultas Ilmu Komputer Universitas Brawijaya. Jurnal ini diharapkan dapat mengembangkan penelitian dan memberikan kontribusi yang berarti untuk meningkatkan sumber daya penelitian dalam Teknologi Informasi dan Ilmu Komputer.
Arjuna Subject : -
Articles 6,850 Documents
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Implementasi Low Power Pada Embedded System Untuk Mendeteksi Kondisi Kebakaran Dalam Ruangan Rinaldi Albert Soritua; Mochammad Hannats Hanafi Ichsan; Gembong Edhi Setyawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Fire is an event caused by unrestrained fire by human. Fire could cause various losses from treasures to casualties. Based from that problem needed a system that able to detect fire based on smoke level, room temperature, dan existence fire source. In implementation needed low power to save power consumption when system not detect a fire. The output of the system is current condition which is no fire, fire and smoky little, fire smoky and lot that shown on LCD and sound from buzzer. Arduino Mega 2560 implanted fuzzy logic as output decision based on fuzzy calculation. If system not detect a fire then system will switch to sleep mode, yet if system detect an output which is smoky, fire and smoky little, fire smoky lot it will shown on LCD and sound from buzzer. The used feature is sleep mode power down to turn off some sub-system. Testing resulted system is running accordance with the principles of it works. The average system execution is ±33284,2 ms. On the power consumption of the device is able pressed for 40mA from 245mA to 205mA with implementation sleep mode power down.
Pengembangan IDS Berbasis J48 Untuk Mendeteksi Serangan DoS Pada Perangkat Middleware IoT Hilman Nihri; Eko Sakti Pramukantoro; Primantara Hari Trisnawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The development of IoT devices causes a change in many aspects of human life. Although this device has a limited resources, IoT devices can be used in every kind of environment. The use of IoT device in these environments make the security of IoT device important to study. One of biggest DoS attacks happen to IoT devices because there is no self-defense mechanism toward dangerous packets, so that IoT devices easily infected by Mirai botnet. A method choosen for this research to solve this problem is using Intrution Detection System(IDS). This IDS is expected to handle DoS attack in IoT devices with its limitation. Machine learning is chosen for detector in IDS because it's better for detecting anomalies, and also can run better in limited resources than other type of IDS. The Machine Learning algorithm is J48 because J48 has been prooven to detect anomaly better than other classification algorithms. There are few testing parameters used in this research; which are resource usage, detection engine accuracy, ability to give alert, logging ability, realibility in capturing packet in the network, and ability to handle the attack. Based on the evaluation results, this IDS can handle an attack, give alert, and do the logging process. This IDS is also able to classify the packet up to 100%, but this IDS has average 73.6% for capture packet from the network, so IDS can show alert in average of 17.42%. The resource usage in this IoT devices increases by average CPU usage 16% and memory usage 70MB. Based on these testing results, IDS can be used for solution to handle DOS attack in IoT devices.
Analisis Penerapan Markerless Augmented Reality pada Video Game Memancing dengan Pendekatan Simultaneous Localization and Mapping (SLAM) Dany Muhammad; Wibisono Sukmo Wardhono; Tri Afirianto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In the development of application that utilize augmented reality, one of the most common approach is using a special marker. However, a marker can limit the player's freedom when playing a video game that utilize augmented reality. This research will develop an augmented reality video game without any marker (markerless) using Simultaneous Localization and Mapping (SLAM) approach. SLAM is an approach of constructing or updating a map of a certain environment while keeping track of an agent's location at the same time. SLAM is implemented in an augmented reality fishing game which use marker so that the game can be played without any marker. The markerless function will be implemented using VOID AR package in Unity game engine. After markerless function implemented, black box testing is used to observe if virtual object can appear correctly in the environment. The testing result shows that markerless augmented reality fishing game can be developed with SLAM method using VOID AR package in Unity. The virtual object looks most stable when the environment that recorded in frame is not changed much. This is happened because it is easier for video game application to use SLAM approach when the features are not changed much. When the camera is directed to the new environment, new features are recorded, make it harder for video game application to adapt.
Sistem Pencarian Jurnal Ilmiah Cross Language dengan Metode Vector Space Model (VSM) Indah Mutia Ayudita; Indriati Indriati; Putra Pandu Adikara
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Scientific journals are periodical publications that contain scientific papers with data and information written in accordance with the rules of scientific writing. Scientific journals used widely as a reference to make a new research or continue the previous research. As the usage is growing, scientific journals also easier to find digitally and available in a digital library such as Science Direct and IEEE, but the searching process is still limited to Monolingual Information Retrieval, in which the search results have the same language as the query inputted, even though the relevant documents also available in other languages. This research is done to observe the result of implementing Cross Language Information Retrieval that can do the searching process in one language for the input and retrieved document in two languages. The final result is 8 out of 10 queries have a higher precision up to 74,5% and recall up to 41,5%. Generally, system can retrieved the relevant documents in average for 84%.
Implementasi Protokol Geographic Source Routing(GSR) Pada Vehicular Ad-Hoc Network(VANET) untuk Komunikasi Kendaraan Dengan Road Side Unit(RSU) Rezky Hadiwiriyanto; Primantara Hari Trisnawan; Kasyful Amron
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Vanet (Vehicular Ad Hoc Network)is a type of wireless network that provides communication vehicles that serve as its nodes. Vanet has three elements, namely among vehicle to vehicle communication (V2V), vehicle to infrastructure (V2I) and infrastructure to infrastructure (I2I). This study focuses on the communication vehicle to infrastructure such as Road Side Unit (RSU). Various problems arise in the design of Vanet, one of them is the use of a protocol that is not in accordance with the criteria and mechanism of action of the Vanet. In this study, the protocols in use are the GSR and AODV protocol which are implemented and compared based on the scenarios research which are the density of the vehicle, the vehicle speed and the number of RSU's variations specify the protocol works best on Vanet environment. Implementation is performed using (NS-2) and SUMO. The results of the GSR and AODV protocol implementation are analyzed based on the test parameters are throughput, end-to-end delay and packet delivery ratio. From the test results, protocols AODV has a better performance in scenarios density and speed of the vehicle with the parameters throughput and packet delivery ratio with a value of 1004 bps and 99.65%, while the GSR better its performance on parameters of end-to-end delay with a value of 2.35 ms. In scenario number variation RSU, GSR protocol has better performance parameters of throughput and end-to-end delay with a value of 4060 bps and 2,531 ms while AODV protocol, better on the parameters of packet delivery ratio with a value of 99.83%.
Optimasi Parameter Support Vector Machine (SVM) dengan Particle Swarm Optimization (PSO) Untuk Klasifikasi Pendonor Darah Dengan Dataset RFMTC I Gusti Ngurah Ersania Susena; Muhammad Tanzil Furqon; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Blood donation is one of voluntary humanitarian activities. Blood is one of the most important substances that humans have in the human life cycle. In carrying out blood donation activities, monitoring the stock availability of blood bags is usually a major problem. To know ammount stock of blood bag we need a system that can predict the behavior of blood donors. RFMTC (Recency, Frequency, Monetary, Time, Churn Probability) is a modified RFM method in order to see the behavior of donors who can donate their blood or not to donate again. Therefore, SVM-PSO method needed to know classification of blood donors behavior. With SVM techniquesto find hyperplane that is the dividing line between data classes. Then the PSO technique to find the range of input parameters that SVM needed to get the optimal hyperplane value. This research uses 748 data from UCI dataset with 4 main features and 2 classes. Based on the test that has been done obtained the accuracy of 90% with the value of learning rate SVM small and the value of the number of PSO particles are low.
Implementasi Gripper Pada End Effector Robot Untuk Memegang Telur Ayam Dengan Sensor FSR (Force Sensitive Resistor) Alfian Reza Pahlevi; Dahnial Syauqy; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Robots with gripper can help users to grab objects in a place that is unattainable to humans. Users also do not need to directly interact with the object directly because the robot can be controlled wirelessly with the help of wifi and Android devices. As a substitute for the senses of taste on human skin is used FSR sensor (Force Sensitive Resistor). This sensor is used to obtain the value of the gripper's closeness when grabbing the object. To overcome the damage of the object, the gripper is implemented can stop automatically by using the threshold value. The threshold used is 552. The value of 552 is obtained from the average result on the 10 data acquisition of sensor values ​​using the FSR sensor with manual experiment. When the value of the sensor obtained through the threshold, then the robot gripper will automatically stop. This is done to prevent damage to the chicken egg object. From the test as much as 10 times on the robot gripper, obtained test results with 100% percentage that the system can stop gripper and chicken egg object is not damaged. From the test results obtained different pressure values ​​on each object. This may be due to layers of chicken egg object is different or the value of the sensor that keeps changing.
Monitoring Daya Menggunakan Algoritma Shortest Job First Pada Wireless Sensor Network Tadya Adi Prana; Mochammad Hannats Hanafi Ichsan; Gembong Edhi Setyawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Wireless sensor network (wireless sensor networks) is a wireless network that consists of a collection of sensor nodes spread over a certain area (sensor field). Each sensor node has the capability to collect data and communicate with other sensor node. From a number of problems in its implementation, the main issue is that of the WSN energy consumption. It is in result by the power supply on the node only supplied by a battery to its operations, thus having a limited energy reserves. Solution problem the authors implement Algorithms SJF (Shortest Job First) where the Algorithm placed on nodes that have the shortest path, the function of the RF315/433Mhz where the module will help data delivery Wireless. For the monitoring mechanism of the power available on each node mikrokontroller ATmega32, sensors, Sensor Voltage ACS712, DHT11 Sensor, as well as provided with the RTC module as the data source time function as a time stamp over the system. Implementation of high accuracy Algorithm SJF has in testing data transmission is done at 5 times the delivery with a certain distance, in a closed space optimal distance results obtained its data delivery is +100 cm with an average time transmission of 1s, and at a distance of +120 cm or more could still be done sending data but the data delivery success percentage is only 80%.
Implementasi Algoritme Extreme Learning Machine (ELM) Untuk Klasifikasi Penanganan Human Papilloma Virus (HPV) Stefanus Bayu Waskito; Imam Cholissodin; Edy Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Human Papilloma is a virus that cause warts ilness. There are several treatment methods, but Immunotherapy and Cryotherapy are considered to be the best method to treat this ilness. However, none of them can heal all patients. Therefore, research to determine which method more appropriate for a certain patient is required. This research use Extreme Learning Machine Algorithm to help classify which method are better for certain patient. A tests is conducted to determine the effects of activation function, number of hidden neuron and and data ratio toward classification accuracy. It was observed that using Binary Sigmoid activation function, 80 testing data to 20 training data ratio, and 10 hidden neuron, the classification accuraccy reach 70,8%. And the classification time spent were relatively fast that is only 0.043 seconds.
Pengembangan Low Power System Monitoring Karbon Monoksida (CO) Menggunakan Metode State Machine Raka Bagas Perdana; Dahnial Syauqy; Agi Putra Kharisma
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Indonesia is a developing country that citizens rely heavily by the presence of a motor vehicle. Recently many cases which killed unexpectedly in a car with parked car burning conditions, however. The use of vehicles (cars) and according to news of the gas poisoning caused by carbon monoxide (CO). The existence of this monitoring tool is expected to reduce the risk of death is often the case. To be able to differentiate the car are road conditions and stopped at the gyro sensor use in put on the handbrake of automobiles. To find out the pollutants on the vehicle using Sensor MQ-07. In making the monitoring system will be made some state such as sleep or wake state and should be able to switch state with input from users so that applied the state machine for the low power mechanism in carbon monoxide monitoring system. Due to this system will work in quite a long period of time, then the unambiguous method of low power to reduce the burden of resource use power bank. Performance low power is required so that the system can last longer because of the relatively low power used when the system is not in use. Features of low power itself one is Sleep mode power down deadly ATmega328P some functionality. Current testing being performed generates, that the current used on the system running normally is 181.02 mA whereas when the system is in a State of Sleep only has a current of 138.2 mA. So the system is successfully reducing the current use of 42 mA.

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