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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 6,923 Documents
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Pengembangan Aplikasi Perangkat Bergerak Sebagai Media Pemantau Kesehatan Terhadap Penyakit Hipertensi Giovanka Bisano Putra; Lutfi Fanani; Adam Hendra Brata
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Hypertension is a blood pressure disease which blood pressure value is above normal. Hypertension may caused by age, work, lifestyle such as smoking, and blood pressure. The number of deaths from hypertension reaches 6% of the death population at all ages in Indonesia. From these problems, a system called Blood Care was created. The Blood Care application is a system that scans blood pressure through the fingertips of users using image processing. The results of the blood pressure will be processed further using the naive bayes method to obtain a calculation risk for hypertension. After data the data such as hypertension risk and blood pressure occur, that data will be stored in Firebase. In the naive Bayes method, researchers have 5 features and 2 classes for classification. Blood Care software development was carried out using software development life cycle prototyping and in this software, four types of testing were carried, there are validation, unit, usability, and accuracy testing. From the tests that have been conducted, the results show that all functionality has been successfully implemented, all function has worked well according to every case that may happened in the function, and the usability value of the application reaches 81,5 and the accuracy of the Blood Care application is 87,5%.
Sistem Perkiraan Penggunaan Listrik Rumah Tangga Menggunakan Logika Fuzzy (Studi Kasus: PLN Area Pasuruan) Mochamad Ali Fahmi; Muhammad Tanzil Furqon; Sutrisno Sutrisno
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 3 (2019): Maret 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In one of Indonesia's regions, Pasuruan, in recent years there has been a rapid increase in economic growth, resulting in a large increase in electricity demand to exceed the scenario originally planned by the government. The electricity system in the city of Pasuruan itself is a complex electricity system where there are difficulties in estimating the amount of electricity that can affect the readiness of the generating unit to provide electricity supply to consumers. Based on these constraints, it is necessary to estimate long-term electricity use, especially for the household sector in planning the addition of new power plants, expansion of the distribution network and planning requirements for the operation of electricity generation, so that the power generated is in accordance with load requirements. In this study Fuzzy Logic method is used to estimate or forecast. Data that were used as many as 70 historical data from January 2012 to October 2017 obtained from PLN Pasuruan Area. The results of the implementation and accuracy testing in this study got the best parameter value with the lowest MSE value of 1.602823095 and MAPE 3,84%. The test is done to get the best number of fuzzy sets at 16, while the worst value is 7 fuzzy sets.
Sistem Pendeteksi Tempo Lagu Untuk Kontes Robot Seni Tari Indonesia (KRSTI) Berdasarkan Frekuensi Dengan Algoritma Beat This Tio Haryanto Adi Putra; Dahnial Syauqy; Rizal Maulana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Indonesian Robot Competitions have become a known competition amongst robotics lover all over the country. Building robots has become its own hobby for the participants generating robots that are though and sophisticated which have a chance to replace human's labor in the future. These sophisticated robots however, are not easily made or built. It requires time and dedications to build one that can complete its purpose. One of the divisions in KRI is KRSTI or Traditional Dance Robot in which robots assumes humanoid figures and must be able to dance along with a given music or song. The process of building one is not easy unfortunately, there are a number of cases in which said robots dance awkwardly or even tipping over against its own weight. Using this research's sensor system, it is hoped that these poor robot will grasp the meaning of beats, loudness and the music's speed or known as tempo. Thus enables them to dance along flawlessly. The testing of said sensor system can give output every 125ms with accuracy up to 95.7%. In addition, this system also give secondary output with accuracy as high as 100% but with delay of two seconds.
Evaluasi Tingkat Kematangan Manajemen Layanan Pemantauan Base Transceiver Station (BTS) Pada Unit Network Monitoring System (NMS) Berdasarkan ITIL V3 Dengan Domain Service Operation Pada Badan Aksesibilitas Telekomunikasi Dan Informasi Kominfo Selaras Aura Mahardhika; Ismiarta Aknuranda; Yusi Tyroni Mursityo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Badan Aksesibilitas Telekomunikasi dan Informasi (BAKTI) is a work unit under the auspices of the Ministry of Communication and Information Technology which is tasked to provide wider telecommunications access services, especially in 3T areas, namely Remote, Outermost and Left behind areas. BAKTI has many priority programs, one of programs is the construction of the Base Transceiver Station (BTS) project. After the construction of the BTS is carried out, the performance of BTS device is monitored by using the PRTG application managed by the NMS work unit, while the service users are the BTS component providers. In its implementation, it was found that there were a number of sites that had a difference in the value of avaibility between the values stated in the PRTG BAKTI and the value stated on the PRTG of the component providers. Therefore, this study aims to determine the causes of problem and evaluate service management of the NMS work unit that manages the service. This evaluation uses the ITIL V3 framework that using the Service Operation domain. From the results of the research that has been done, the maturity value obtained is 1.93 or at level 2. From the NMS unit also wants the maturity level to reach a value of 2.76 or at level 3. Therefore, to achieve the desired expectation value, the research resulted in 21 recommendations to improve and fulfill the shortcomings of the NMS BAKTI unit management.
Implementasi Load Balancing Server Web Berbasis Docker Swarm Berdasarkan Penggunaan Sumber Daya Memory Host Mohamad Rexa Mei Bella; Mahendra Data; Widhi Yahya
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Virtualization based container is very popular among programming development because this virtualization is lightweight virtualization where Linux kernel allow to share resource between containers so performace container does not interfere with each other. One of the most used virtualization based container is Docker. Docker is open source software which can be change as we wish. Docker container can be used to clustering web server. This method can be used to decrease a single point of failure (SPOF) in web server. However to manage a lot container is complex, but Docker have engine to solve this problem called Docker Swarm. Docker Swarm have internal load balancing but just to manage between container and can't be monitored.So can make resource between host is not unequal distributed. Therefore this research purpose is to distribute web server traffic inside a Docker swarm using loadbalancing based on the resource utilization of the host machine. There are several tests to test the system's functionality and performance in overcoming gaps in failover based time and load balancer based memory. From the test results, we obtained that failover based time and loadbalancer based memory can work in Docker Swarm and can solved the problem about unequal distributed between host.
Optimasi Travelling Salesman Problem Pada Angkutan Sekolah Dengan Menggunakan Algoritme Hybrid Discrete Particle Swarm Optimization (Studi Kasus: MI Salafiyah Kasim Blitar) Ana Holifatun Nisa; Imam Cholissodin; Tibyani Tibyani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The policy of using school buses as a means of transportation to take students from school to home is very helpful for their role as parents. Moreover the distance between home and school is quite far and the age of students is still young. The constraints of the system between school transport can not be separated from the name of the efficiency of the time needed, but also the comfort of the students and the trust of the parents. With the optimization of the problems of the delivery route from this school bus, it is expected to minimize problems that can occur, including: traffic accidents due to the use of private vehicles; reduce fears of parents; so that it can increase student satisfaction with the optimization of delivery time. The algorithm used to optimize the Traveling Salesman Problem (TSP) problem is Hybrid Discrete Particle Swarm Optimization (HDPSO). In this study using data from students of Blitar's Salafiyah MI MI, which in the process of going to the house were divided into 2 groups, namely: the first group of 20 people and the second group of 24 people. From the results of testing the system compared to the actual data, the biggest difference was obtained on the second day of 2,69 Km (10,7%) in the first cluster and 22,8 (41%) Km in the second cluster.
Pengembangan Personal Data Analitik Menggunakan PHP-ML dan Apache Spark pada IoT Cloud Apps Ahmad Riyadh Al Faathin; Eko Sakti Pramukantoro; Fariz Andri Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The Internet of things has systems and devices to monitor objects, collect and forward data. Diverse data will be collected using sensors then forwarded to stored in data storage. Data on IoT is generally low density data or does not have a lot of usefulness value if no analysis and visualization is carried out, besides that the data collected usually has specific goals and objectives according to user needs. Therefore we need a system that can store diverse data, perform data analysis and also personalize each IoT service needed. The researcher will focus the research on building a framework that is able to answer these problems, so that a data storage, analytic data and visualization webservice will be built in which a personal approach will be developed. System performance testing is done in terms of functional, scalability, response time for storing and retrieving data. The results of functional testing found that the framework system developed was running in accordance with its function in storing various data into data storage, performing data analysis and also personalizing service based on user needs. In addition, based on scalability testing that has been done shows that the system has a pretty good ability. Based on these results, this system can be a solution to IoT problems in the cloud
Analisis Dampak Serangan Black Hole terhadap Kinerja Protokol AODV dan DYMO pada MANET (Mobile Ad-Hoc Network) I Putu Krisna Yoga Tanaya; Rakhmadhany Primananda; Heru Nurwarsito
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Mobile Ad-Hoc Network (MANET) is a set of mobile devices that communicates with each other over wireless networks without a centralized or structured network. MANET has three types of routing protocols, it named proactive routing protocol, reactive routing protocol, and hybrid routing protocol. One particular characteristic of MANET, which is security limitations, causes security to be a weakness in MANET so that attacks on MANET can cause a decrease in performance in the routing protocol. Based on these problems, the authors made a study entitled Analysis Impact of Black Hole Attacks on the Performance of AODV and DYMO Protocols on MANET (Mobile Ad-Hoc Network). The result in this study is black hole attacks affected the performance of the AODV protocol and the DYMO protocol. Tests are carried out using network simulator-2 (NS-2) with three test scenarios, those are a density of 40, 60, and 80 nodes with variations in the number of attack nodes (black holes). Variation in the number of attack nodes (black holes) as many as 5, 10, 15, and 20. Performance parameters that used in this test is including the packet of delivery ratio, normalized routing load, and packet loss. The results of the study show that the packet delivery ratio on the DYMO protocol is better than the AODV protocol with an average overall PDR result in the AODV protocol of 34,2%. While the DYMO protocol is 42,1%.
Analisis Sentimen Impor Beras 2018 Pada Twitter Menggunakan Metode Support Vector Machine dan Pembobotan Jumlah Retweet Renaza Afidianti Nandini; Yuita Arum Sari; Putra Pandu Adikara
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Social media Twitter is one of the largest real time databases and is very useful for knowing people's perceptions in Indonesia. The issue of rice import polemic on Twitter tweets is an important thing to study as text processing. This study discusses sentiment analysis on 2018 rice import Twitter using the Support Vector Machine (SVM) method and Weighting the Number of Retweets. The use of the weighting feature of the number of retweets uses a comparison of certain constants (α and β) 11 times to obtain the results of positive and negative class analysis. The data used in this study were 318 data consisting of two types of data namely training data and test data with a ratio of 70% training data and 30% test data. From the results of accuracy testing using the Support Vector Machine method without weighting the number of retweets by 50.00%, precision by 49.46%, recall by 97.87%, and f-measure by 65.71%. Accuracy testing results using the Support Vector Machine method with a weighting of retweet amount of 50.00%, precision of 49.46%, recall of 01.00% and f-measure of 65.73%. It can be concluded that the use of the weighting feature of the number of retweets can provide optimal results and is able to classify sentiment analysis.
Implementasi Decision Tree pada Penentuan Kondisi Ruang Berasap Menggunakan Multi-Sensor Berbasis Arduino Uno Mimi Hamidah; Hurriyatul Fitriyah; Issa Arwani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In this day and age many facilities are designed automatically to help human activities in regulating the level of comfort and safety in the room, one of the technologies that has been widely used, namely fire alarms that are used to provide automatic warnings about fires that occur. However, due to several reasons and certain factors, often the fire alarm does not work properly and actually sends a false alarm. In this study there are 3 sensors, namely MQ-2 sensor, DHT22 sensor, and flame sensor that is connected to the Arduino Uno microcontroller. Arduino Uno microcontroller implements the decision tree method as the output decision maker based on the calculation of C4.5. There are 3 processes, namely the process of determining datasets, decision tree formation and rule formation. In this system, there are 3 attributes that are used to detect the status of smoky space conditions, namely temperature, fire intensity and smoke content. From the results of several tests conducted, it is known that the error percentage reading of the DHT22 temperature sensor is 1.58% and the MQ22 gas sensor can read the gas content in the room well, where the sensor reading value is directly proportional to the output voltage which is the higher the smoke level detected the higher the value of the sensor output voltage. From the results of testing the fire sensor YG1006 can perform ADC readings detected by the sensor against the fire source based on the distance of the sensor with the fire source. Furthermore, in testing the system using the Decision Tree method with the amount of training data as many as 800 data and test data as many as 40 data, obtained an accuracy of 97%. The average system execution time is ± 1389.9 ms

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