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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 Wireless Sensor Network Mengunakan Babel Routing Protokol Muhammad Rosyid Khulafa; Sabriansyah Rizqika Akbar; Gembong Edhi Setyawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

One of the technological development of wireless communication is Wireless. Currently developed into Wireless Sensor Network (WSN). A technology consisting of nodes as scattered within the scope of the system using a wireless network. One of the utilization of WSN technology is for application implementation to know temperature, weather, distance in the surrounding environment, then can exchange data through network node node that has been connected. One of them is if there is damage to fixed communication, WSN can be applied as secondary communication or other planning, as communication network infrastructure which is expected to be used when main telecommunication infrastructure have problem that is using Mobile ad hoc network (Manet) technology applied to Wireless Sensor Network (WSN). Manet in other ways can be interpreted as collected nodes, then move random (dynamic), then generate a temporary network by not relying on the existing structure. By utilizing Beagleboneblack as a Manet node, WSN can be applied as a communication between nodes. Beagleboneblack is a mini-computer open source-hardware product with linux Angstrom ARM support, plus many pin headers, digital pins, analogs, pwm and others will be very powerful. In addition to using the default OS, we can also use Linux Beaglebone board OS like Debian 8.6. Sensors are installed on each node, so the Manet can be built as a mobile network.
Implementasi Error Detection System Pada Komunikasi Serial Arduino Menggunakan Metode Cyclic Redundancy Check (CRC) Reynald Novaldi; Sabriansyah Rizqika Akbar; Rakhmadhany Primananda
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The high development of the IoT system current is directly proportional to the high development of the communication system. This does not cover the possibility of the exchange of data on the communications system 100%. It is influenced by factors of weather, noise, voltage on the System unstable and crosstalk. But the problems on the exchange of this data can be reduced or avoided by the method of error detection and error correction. There are various methods of error detection such as reed solomon code, hamming code, and cyclic redundancy check. Arduino uno is a mikrokontroller development in the field of Iot is fast, easy development making the Arduino Uno became widely used in the embedded systems and wireless sensor network. This research method using error detection that is cyclic redundancy check or CRC, CRC has high efficiency and accuracy in detecting an error in communication or exchange of data. CRC polynomial systems using linear feedback shift and division registers where the method is very efficient to implement in hardware or software. this research of CRC method implemented on two mikrokontroller the arduino interconnected via a serial communications i.e. I2C, SPI, and UART, and one of the arduino as a sender and the other one as the recipient of the data. From testing the functionality of the system error detection is obtained that the system can detect an error in the data correctly with percentage 100% time on testing and obtained results that systems with communication UART takes a faster than a system with SPI or I2C.
Sistem Deteksi Posisi Objek Acak Berbasis Image Processing Pada Platform MyRIO Alrynto Alrynto; Dahnial Syauqy; Fitri Utaminingrum
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

Object recognition in this case position of random object is one of the main concern for development of computer science. Object recognition is very useful in another major implementation like maaping, industrial manufacturing, medical, security and many more. For implementation to another major, output of the system need to caliberate for that major. System output on this research are distance and slope value that have been caliberated into international value of length. This research try to develop object recognition using microcontroler by National Instrument MyRIO 1900 as image processor and webcam camera as optical sensor. The camera take object image from above of the object. System using image processing with Geometric Match Pattern method that match object image with template image geometrically and then will take data position and slope of the object. Output from image processing will show in the computer. In the testing will use one type of object in this case using reactangle and placed randomly. The testing will measure the function of the system for read object position, slope and manualization accuracy. Position test have percentage success 99.63% and slope test have percentage success 96.8%. Accuracy test using pixel tolerance and the highest accuracy 100% on 5 pixel tolerance.
Rancang Bangun Sistem Pemilah Tomat Berdasarkan Tingkat Kematangan Lb Novendita Ariadana; Dahnial Syauqy; Tibyani Tibyani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In human life is heavily dependent on agriculture. To meet the needs of everyday human life then takes the process of planting, harvesting and land sports. For a short time as well as the limitations of power is a challenge that must be faced by the farmers. So did the problems facing tomato farmers who must sort out the tomato based on a different level of maturity - different. Tomato growers should be picking tomatoes first and then sort it based on the level of ripeness. This is done because each level of maturity tomatoes have different uses. Of the matter, the author makes a tomato based parser system level of maturity. Level of maturity is detected using the color tomato. To detect the color of the tomatoes then it needs three sensors on the left side, top, and right system. Tomato fruit is placed in the middle of the system on the box then motor stepper will push it so it just below the sensor. Then the color of tomatoes will be read by a third color sensor. After that the Bayes method will look for opportunities and will classify the tomatoes into three categories. After that the system will drain the tomatoes into the container according to the degree of ripeness by opening and closing the line using a servo motor. This research has as many as 45 data training data and each level has 15 kematangn data. The result of the test there is a 10 x 9 x 1 x and correct errors. From these tests can noted that 90% of system accuracy.
Implementasi Protokol Zigbee Pada Wireless Sensor Network Jefri Muhrimansyah; Rakhmadhany Primananda; Kasyful Amron
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

WSN was implemented in densely populated area by using zigbee as the communication protocol. It was chosen to be the communication protocol because it is applicable in the extreme area. The selection of mesh topology due to each node is connected to each other, so they can communicate and switch the information among them. The selection protocol of routing Ad-hoc On-Deman Distance Vector (AODV) due to the route search on AODV is only needed when the route request is exist. In this research, testing was done in three scenarios, namely, test based on the condition where the barrier is exist and is not exist, test based on distance and the amount of the data. Based on the test, the analysis of several test parameters, such as throughput, delay and packet loss. Based on the result of testing and analyzing the Zigbee maximum distance in sending the data censor was 40 meter in a barrier condition, with the highest throughput value was 72 bps, the highest delay value was 0,0028 ms and the highest packet loss value was 70% at 50 meter distance. On the amount of data based testing, the highest throughput value was 65.3 bps, the highest delay value was 3.872ms, and the highest packet loss value was 47% from 30 data. Furthermore, the condition with and without barrier based test resulted some values, such as the highest throughput value was 65.3 bps, the highest delay value was 3.136ms and the highest packet loss value was 35%.
Implementasi Purwarupa Sistem Pemantau Suhu Serta Kelembaban Berbasis XBEE Sensor Network dan Arduino Uno Mario Kitsda M Rumlawang; Wijaya Kurniawan; Rizal Maulana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Temperature and humidity monitoring based on WSN (Wireless Sensor Network). Monitoring system based on WSN has advantages compared to cable-based in addition to installation, maintenance and repair costs. The use of XBEE-S2 is better used for long-term monitoring than nRF because it only uses a 3.3 v low voltage. Even though it is expensive in terms of cost, if it is calculated for the long term it will be better if you have to replace it regularly. The simple implementation of the temperature and humidity monitoring system in the XBEE sensor network based building can be applied in chicken farms which helps to monitor the incubator temperature remotely and the use of Arduino as a Microcontroller is the right choice because of features that match the XBEE character that requires TX and RX pins and DHT-11 sensors that require a lot of pins. The choice of topology in sending data is also very important to know before installing the system to get maximum results. The node sensor uses Arduino uno and uses the XBEE-S2 module as a medium for sending and receiving data and uses two different Topologies, star topology and tree topology, which tests distance and throughput are displayed directly on the XCTU program. Testing with tree topology has the highest throughput of 0.31 Kbps and the lowest is 0.03 Kbps while the star topology reaches the highest number of 0.59 Kbps and the lowest is 0.51 Kbps. This is due to the delivery of the star topology directly to the Coordinator.
Implementasi Gabungan Metode K-Means Learning Vector Quantization (LVQ) Untuk Klasifikasi Fungsi Senyawa Aktif Menggunakan Data SMILES Nur Khilmiyatul Ilmiyah; Dian Eka Ratnawati; Syaiful Anam
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The active compound is a chemical compound that has many functions. While the inactive compound, doesn't have much function only as additional substances. Active compounds can be divided into two therapeutic functions as alternative medicine, and Pharmacology function to control drug containing the active compounds in it. In order to get functions in the active compounds used notation SMILES. SMILES notation is a representation of the active compounds with modern chemical notation, so that the computer can read the elements of the compound. Of the many SMILES notations at this time, all the SMILES notations cannot be used as medicine because they are still in the testing phase. SMILES notation that has been tested could be used as medicine. Therefore, this research will be built a fixed classification model that takes into account all the data. Based on the test results, the K-Means method of combined Learning Vector Quantization (LVQ) generate value accuracy of 72.22%, K-means conventional 52.65%, while Learning Vector Quantization (LVQ) owns 67.96%. The results show that the combined K-Means method of Learning Vector Quantization (LVQ) have better results than conventional K-means and Learning Vector Quantization (LVQ).
Implementasi K-Nearest Neighbor untuk Klasifikasi Ekspresi Wajah Berdasarkan Data Muscle Sensor dan Berbasis Arduino Aprilo Paskalis Polii; Hurriyatul Fitriyah; Issa Arwani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Human facial expressions are formed by face muscles. Therefore, as an interest to develop Human-computer interaction, the system of human facial expression classification based on face muscles' movement is made for those reasons. The output from facial muscles is obtained by the muscle sensor. The classification in this research has been done by using K-Nearest Neighbor Algorithm system. The Muscle sensor is connected to the face by using electrodes. Then, the sensor's output is processed in Arduino and shows the result on LCD Monitor as an output. By the testing of sensor's functionality, it is found that the sensor responds according to the muscle performance. The sensor's value is increased along with the number of gained loads. Besides that, by the testing of LCD monitor's functionality, the result is obtained that LCD Monitor works well by displaying the output in accordance with the command. Then by the accuracy testing, the best the result is from K equals to 3 with 81% of accuracy level. By the computation time testing, the result of taking the output from sensor, processing, and display the classification takes 1.68 seconds as the average time.
Momentum Backpropagation Untuk Klasifikasi Fungsi Senyawa Aktif Berdasarkan Notasi SMILES (Simplified Molecular Input Line Entry System) Nyimas Ayu Widi Indriana; Dian Eka Ratnawati; Syaiful Anam
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Active compounds can be used to make certain drugs and very important in the medical sector. Classification of active compounds is the most important thing in making medicines. After classifying the active compound, it is continued with the process of making and testing drugs that require a variety of tools. The cost of making and testing these drugs requires a high cost and time. This is a major obstacle for medical experts to make certain medicines. By utilizing current technology, a system can be made to classification process of active compounds, so the performance of medical experts for making certain drugs can be faster. The classification process can be done by using a computer and utilizing the SMILES notation. SMILES notation allows a compound to be processed by a computer. The momentum Backpropagation method can be used to perform the classification process properly. Based on the program that has been made, there are 4 types of testing using 522 training data and 131 test data producing, the best accuracy of 70,99% with a learning rate of 0,00001, max epoch of 100, momentum of 0,25 and hidden layer neurons of 4.
Rekomendasi Resep Masakan Berdasarkan Ketersediaan Bahan Masakan Menggunakan Metode N-Gram dan Cosine Similarity Ratna Tri Utami; Yuita Arum Sari; Indriati Indriati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Cooking recipes are the guidelines of a housewife in making a dish. Many recipes that there are easy for housewives to cook. But the reality, there are still a lot of housewife who doesn't understood the compatibility between the composition of cooking materials with dishes to be made. So it takes innovation to facilitate the search for a recipe in accordance with the composition of the available ingredients. It can be included in a form of information retrieval system. N-gram and cosine similarity methods can be used to match the available ingredients with the recommended recipes. Excess cosine similarity method didnt affect by the short length of a text document, because it just calculated only the term value of each document. The N-gram method consists of 3 types of processes: unigram, bigram, trigram which are serves for word processing. In this research, a model for recommendation of relevant recipes using N-gram method and cosine similarity was developed. The tests performed were the measurement of similarity and threshold determination. The results obtained that the system succeeded in calculating the similarity with the value of cosine 0.9. The greater of the value so it closer to the recommendation of the recipe in accordance with the query. From the third results of the best N-gram process is unigram with a threshold value is greater than or equal to 90% and a recall value of 1 and precision 0,2. It can be concluded that unigram is the best N-gram method process to recommend the recipes based on the ingredient.

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