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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 High Availability pada Gateway Wireless Sensor Network dengan Protokol Komunikasi Message Queuing Telemetry Transport Bagus Prasetyo; Sabriansyah Rizqika Akbar; Widhi Yahya
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 10 (2018): Oktober 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

MQTT-SN is a development of the widely used protocol on the Internet of Things Technology, MQTT. In common MQTT-SN protocol is same as well as MQTT, but MQTT-SN is focused on the sector of wireless sensor network. In MQTT-SN the most prominent is the presence of gateway. Gateway is used to collective data from multiple sensor nodes and forwarding data to broker server. Gateway is the most important part of MQTT-SN technology, because gateway is communicator between sensor node and broker server. Therefor availability of gateway is crucial when facing failure-system or down. This research will be focus on increasing the availability of MQTT server brokers and gateway by implementing Haproxy Load Balancer and Keepalived that installed on 3 Raspberry Pi's as gateways. This system also used multiple broker servers which sharing message or topic for improve availability on broker server side. Research results is brokers and gateways successfully improved availability by using clusterization, balancer traffic, multiple broker implementation and redudancy up to 100% when one of the gateway or broker has a failure.
Optimasi Fuzzy Times Series Untuk Memprediksi Besar Nilai Penjaminan Kredit KUR dengan Algoritme Genetika (Studi Kasus : Perum Jamkrindo Cabang Kendari) Sri Wahyuni; Budi Darma Setiawan; Marji Marji
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 8 (2018): Agustus 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Every businessmen would want to expand his business to be bigger, to do that it needs a lot of funds. The bank can provide kredit usaha rakyat with some of reqruitment collateral that has be obeyed by bussinesmen, one of them is to provide guarantee, the problem is not all the bussinesment can provide the guarantor. Therefore bussnismen need guarantor institution help in order to fulfill the requiment. As the Demand from banks for credit guarantee to increase every month, it ensures that the guarantor institution must increase its budget to guarantee the kredit usaha rakyat. Therefore a system that is able to predict the amount of guarantee value will be needed in order to meet the demand of the bank. In this research the method used to predict is Fuzzy Time Series which will be optimized using Genetic Algorithm. A chromosome is used to represent the interval of a membership function. The reproduction method is one-cut-point crossover and uniform mutation. And do the selection process by using elitism selection. The optimal results obtained with the length of chromosome as much as 100, the population size of 350, cr and mr of 0.3 and 0.6 and the number of generations as much as 1000. The error and fitness value generated by 0.00901% for MAPE and 110.95098192994908 for fitness value.
Implementasi K-Shortest Path Routing pada Jaringan Software Defined Network Romy Dwi Andika Manullang; Widhi Yahya; Dany Primanita Kartikasari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Software Defined Network (SDN) is a network modeling separating control plane and data plane. Network routing is part of SDN that give interest for the research. The most commonly used routing algorithm today is the single path routing algorithm. This algorithm uses only one path as the data transmission medium. This will reduced network performance known as network congestion. In this study we implemented Yen K-Shortest Path as routing algorithm. These algorithm will search for as many K lines as the data transmission medium. The Yen K-shortest path algorithm will minimize network congestion. These algorithms has been implemented using Mininet emulator and Ryu controller in two topology. The tests performed to measure the performance of the algorithm include convergence time, throughput, packet loss. The data obtained in the test using the Yen K-Shortest Path algorithm compared to data obtained using Dijkstra algorithm with the same test method. And there is a test to see the success of the algorithm for using more than one path on multipath testing. In the convergence time test, the Yen K-Shortest Path algorithm gets an average of 0.01962 seconds for the first topology, and 0.02409 seconds for the second topology. Based on the results of throughput testing, the Yen K-Shortest Path algorithm outperformed Dijkstra's algorithm with the highest throughput increase reaching 176.01% larger. For packet loss test results, Yen K-Shortest Path is also superior because it has fewer packet loss than Dijkstra algorithm.
Penerapan Autonomous Vehicle Behavior Pada Permainan Simulasi Ujian Berkendara 3D Menggunakan Metode Steering Behavior Rosikhan Maulana Yusuf; Eriq Muhammad Adams Jonemaro; Issa Arwani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 11 (2018): November 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Driving simulation is one means to improve one's ability to drive. The design of 3D driving simulations that have been created can provide control and visual support for driving learning. However, in the real-world riders are not just dealing with traffic signs. Players also require real-world driving learning in addition to other cars that move like in the real world. So it takes an automatic agent that acts as a car. The solution for this automated agent is to use Autonomous Vehicle which uses the Steering Behavior method as the base. At design stage, the requirement in making Steering Behavior is arranged in Car Controller design, Steering Behavior design and Waypoint design. Then the program is implemented using Unity3D with C# programming language. At the time of testing White Box, it can be concluded that the unit module program already meets the functional needs. In the test of accuracy and precision, it can be concluded that offset accuracy is 97.9% and offset precision is 0.166427546 meter. The magnitude error accuracy is 68.3% and magnitude error precision is 1.605146908 m/s. In performance testing, it can be concluded that the best performance of Autonomous Vehicle can handle is when executing agents simultaneously with no more than 180 agents.
Implementasi Algoritme Average Time Based Fuzzy Time Series Untuk Peramalan Tingkat Inflasi Berdasarkan Kelompok Pengeluaran Mohammad Angga Prasetya Askin; Imam Cholissodin; Sigit Adinugroho
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 10 (2018): Oktober 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Inflation is a condition in which the sale price of goods or services experienced a general increase or decrease in economic activity. This affects the people of the country so that the effect is enormous. But in determining the rate of inflation is still experiencing difficulties in predicting inflation. Therefore, this study aims to determine / predict the rate of inflation by expenditure category by the Average Time Based Fuzzy Time Series method. This study uses scenarios based on consecutive monthly data, consecutive years, and the mean divisor of the difference. Inflation expense category data obtained from Indonesia Central Bureau of Statistics (BPS) and predicted results obtained is the average value of RMSE 0.486 in data month 15, the average value of RMSE 0.335 in the data year 3, and the last average RMSE 0.314 in the value of divisor 1.9 for consecutive month data categories and the mean RMSE 0.336 in the divisor value 2 for the consecutive year data categories.
Pemilihan Tim Bulutangkis Menggunakan Metode Fuzzy Tsukamoto dan AHP-SAW Randi Pratama Nugraha; Rekyan Regasari Mardi Putri; Lailil Muflikhah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 6 (2018): Juni 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Badminton Activity Unit Universitas Brawijaya is a unit that accommodates students who have interest and talent of badminton sport. It also has to hold selection for badminton athletes who enter through the scholarship path. Those athletes who pass the selection will be the candidates with the athletes in the unit into a team as the representatives of Universitas Brawijaya in certain competition. In selecting process, the candidates need to pass variety of criteria of qualificationt, they are the power of punch, physical stability, movement agility, speed, offense, defense, and readiness. Selection will be conducted using Fuzzy tsukamoto and AHP-SAW method. The Fuzzy Tsukamoto method is used to calculate the number of exercises a player should follow, then the number of these exercises will be used to get the player's readiness score. While the AHP-SAW method is used to determine the weight of each category of matches and the player's rank. The player who has the highest ranking will be selected to be the player candidate in the team. After implementation and testing, the result of single men category correlation is 0.839753, single women is 0.75736, men's double is 0.99079, female double is 0.98921, male tiriple is 0.99886, and triple women is 0.989426. From these results it can be concluded that the results of program and coach decisions are in line and have a positive correlation value and very strong.
Penerapan Algoritma Evolution Strategies Dalam Permasalahan VRPTW Pada Optimasi Pendistribusian Pupuk Lalu Muhammad Ivan Natania; Randy Cahya Wihandika; Suprapto Suprapto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 10 (2018): Oktober 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Distribution is one of important aspects of marketing. Distribution is a process of transporting goods to consumers by supplier. Without good planning, the distribution process cause loss and damages for the distributor and also the retailers. The loss could be form the cost of fuel and also the time consumed. As for the retailers, goods supply is a crucial element for their business process. To minimize loss, a system is needed to determine the route of delivery with distance and service time as consideration due to limited capacity of container. Vehicle Routing Problem with Time Windows (VRPTW) is the main issue of this research. VRPTW needs great computational processing to deliver good quality of solution. Therefor methods are required to manage and solve the VRPTW issue. Evolution Strategies algorithm is one of many that could be use as a solution of this matters. Based on the experiments, the highest fitness is 0,52421 where the population size is 100, the offsprings size is 10, the generations size is 100, and the SP value is 5. The lowest fitness is 0,45145 where the offspring size is 1, populations size is 100, the generations size is 50, and the SP value is 3.
Implementasi Raspberry Pi Embedded System Pada Kamar Mandi Pintar Untuk Monitoring Dan Otomatisasi Valensiyah Rozika; Tibyani Tibyani; Barlian Henryranu Prasetio
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Provision of bathroom facilities are important at this time, especially with the rapid growth of tecnology in population. The bathroom is the place most often visited by everyone no exception elderly and circles disabillity. Any case fall in bathroom is high enought. Someone will awlays risk of falling at bathroom related with his condition. The impact of the fall incident in someone's at bathroom, minor injuries to death. Therefore in this reasech the reseacher made a smart bathroom system, where the system can be applied in many bathroom facilities in order to monitor and automation the bathroom. This system, gave an illustration of prototype to monitor and automation the bathroom by using rasberrypi as the microprocessor. This system gave adventages such as by the system people will know someone who might be fell in the bathroom and by the system people can save electrical energy. Testing method focused on different user. From testing result, this system has 100% value at functional testing. In testing the detection process by Raspi-camera, user 1, user 2, user 3 were detected from different angles due to differences in standing distance from each user. In testing people passing Raspi-camera, the system accuracy reached 73.3%.
Monitoring Kelembaban, Suhu, Intensitas Cahaya Pada Tanaman Anggrek Menggunakan ESP8266 Dan Arduino Nano Reza Akhmad Najikh; Mochamad Hannats Hanafi Ichsan; Wijaya Kurniawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 11 (2018): November 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Orchid is one of the most favored plants. Orchid is one of the most widely exported ornamental plants in Indonesia. In the cultivation of orchids, monitoring the state of the plant is important. Parameters - parameters that need to be monitored include: humidity, temperature, and light intensity. These parameters greatly affect plant growth. Plants can grow well if moisture, temperature, light intensity are well . A good orchid moisture ranges from 60 - 80%. Humidity should not be too high during the night and should not be too low during the day. In addition to humidity, the temperature of the orchid plants should be in the range. The ideal temperature for orchids is: daytime temperature between 27-30 degrees Celsius and night temperature between 21-24 degrees Celsius. Based on these problems, the Moisture Monitoring System, Temperature, Light Intensity on Orchid Plant using ESP8266 and Arduino Nano are designed. In this design, the result of sensor readings will be displayed in graphical form and Chart on IoT Thingsboard. To reading moisture, temperature, light intensity used several sensors they are: LDR, Soil Sensor and DHT-11. From the results of implementation and testing can be concluded that this system can display all the readings of the sensor, and run the system automatically well. The average execution delay is 0.622 seconds and delivery delay is 1.468 seconds.
Sistem Pakar Diagnosis Penyakit Pada Tanaman Jagung Menggunakan Metode Naive Bayes Berbasis Android Achmad Syarifudin; Nurul Hidayat; Lutfi Fanani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 7 (2018): Juli 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Corn crop disease is one cause of production of corn is not a maximum, downy mildew can cause harvest failures up to 90% , the presence of an expert would be helpful in terms of solving the diseases that attack plants of corn by means of identifying the symptoms that plagued and conclude what disease attack and provide information to settle the issue. Naive Bayes method is a method used to predict probabilities. While Bayes classification is the classification of statistics that can predict the probability of a class member. For a more simple Bayes classification known as naive Bayesian Classifier can be assumed that the effect of an attribute value is a class given is free of other attributes. The required variable in this study are the symptoms on the leaves, stem and cob of corn plants. The results of this research testing showed all functional requirements are valid, the accuracy of the system are 96% and the results of usability testing stated it very well.

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