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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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Optimasi Multiple Travelling Salesman Problem Pada Pendistribusian Air Minum Menggunakan Algoritme Particle Swarm Optimization (Studi Kasus: UD. Tosa Malang) Rinindya Nurtiara Puteri; Agus Wahyu Widodo; Imam Cholissodin
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 9 (2017): September 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

If the distribution application was not run optimally ,it can obstruct the distribution of drinking water process.The tardiness of drinking water transmission become an obstacle in the process and it is also effected by many factors, such as sales ignorance about the shortest path to where the customers are.So this system can lead and make the process easier to determine the shorthest path. In that Distribution obstacle we called it Multiple Travelling Salesman Problem because implicate more than one factor .One of the main purpose from this research is to determine the shortest path for every saleses.This thesis uses Particle Swarm Optimization Algorithm. There were some thesis talked about Multiple Travelling Salesman Problem but to PSO method is scarce. Particle Swarm Optimization is one of the method that solved M-TSP which is that method will gives some effective solutions.Based on the background,researcher choose to use The optimization of Multiple Travelling Salesman Problem application,and in drinking water distribution use Particle Swarm Optimization Algorithm. The result that had been proved show the route sequence that used is better from optimum parameter made 30 iterations and with 90 particle.
Analisis Sentimen Pariwisata di Kota Malang Menggunakan Metode Naive Bayes dan Seleksi Fitur Query Expansion Ranking Shima Fanissa; Mochammad Ali Fauzi; Sigit Adinugroho
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

Tourism is one of effort to promote a city. Malang currently has a branding city called "Beautiful Malang". Indonesian choose Malang tourism as a destination and review it on the website, one of them is TripAdvisor. Thus this research tried to analyze the reviews from the public about the tourism of Malang City through sentiment analysis and classified into two classes, that is positive and negative. In this research the method used is Naive Bayes with Query Expansion Ranking feature selection to reduce the number of features in the classification process. The process of sentiment analysis consists of preprocessing, feature selection with Query Expansion Ranking method, and classification with Naive Bayes. This research is testing the accuracy by using the variation of feature selection ratio, the result of 75% feature selection has the best accuracy of 86.6%.
Penerapan HPA* Pada Game Ms. Pac-Man Yoshua Aditya Kurnia; Eriq Muhammad Adams Jonemaro; Muhammad Aminul Akbar
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

Ms. Pac-Man is a game used by the researchers to make an artificial intelligence for playing the game automatically. Since Ms. Pac-Man is a non-deterministic game, there are many things in the game that are random, for example the ghosts movement, making Ms. Pac-Man quite hard. Researchers think that as a interesting challenge for developing computer science especially artificial intelligence. Even more, researchers made a competition for the best artificial intelligence in this game, using score as a ranking for the agent performance. One of the competitions is IEEE CIG 2011. For this problem, the author are using Hierarchical Path-Finding A* (HPA*) method, this method is an alternative from A* to make an agent controller in Ms. Pac-Man. The reason for choosing this method is because to test the HPA* method, whether it can achieve better result or worse. Agents using A* methods haven't reached the highest score in this game. In previous research, the maximum score achieved using A* method is 24640 in ten times testing. Compared to the newest research using decision tree method can reach a maximum score of 43.720. Roughly only half score that A* get in comparison to the newest research. To improve A* result, this research uses HPA* method. By dividing the game area into several areas using HPA*, the score will be expectedly better from the previous research. But in practice the results are not good, the final score is 17050. For this reason, this research implements the HPA* and analyze the performance of HPA* method.
Evaluasi Terhadap Penerimaan Pengguna Sistem Enterprises Resource Planning PT. Perkebunan Nusantara XI (Persero) Dengan Model Adapted UTAUT Putri Wulandari; Niken Hendrakusma Wardani; Mochamad Chandra Saputra
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

This study aims to determine the factors that affect the acceptance of users of the Enterprises Resource Planning system at PT. Perkebunan Nusantara XI (Persero) using UTAUT Adapted model. The population of this study are employees of PT. Perkebunan Nusantara XI (Persero) which have the right of access to the system starting from procurement, production, distribution, sales, to human resources. The number of samples used in this study is 80 respondents. Research begins by evaluating the variables of the UTAUT model that are predicted to determine the factors of Enterprises Resource Planning system user acceptance, including Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Anxiety, Attitude, and Behavioral Intention. The measuremence model using PLS-SEM. The result shows is suitability of the model adopted in determining the acceptance factors of the Enterprises Resource Planning system user PT. Perkebunan Nusantara XI (Persero). The model can explain the effect of variance on Behavioral Intention of 70.9% and shows a significant relationship between each hypothesis. The adoption of this research model refers to the user research acceptance of the mandatory ERP system and focuses on the influence of direct relations of exogenous variables with attitude and intention factors behaving in ERP system user acceptance.
Analisis Sentimen Cyberbullying pada Komentar Instagram dengan Metode Klasifikasi Support Vector Machine Wanda Athira Luqyana; Imam Cholissodin; Rizal Setya Perdana
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

Instagram is the most popular social media in these recent days. The users who start from kids, teenagers to adults, have the role in boosting the popularity of Instagram. However, this social media could not be seperated from the dangers of cyberbullying which is done often by the users, especially in the comment column. The dangers of cyberbullying are certainly worried many people because of the impact it has. Therefore, a sentiment analysis in Instagram comment column can be done in order to find out the sentiments in each comment. Sentiment analysis is a branch of text mining science which is used to extract, understand, and cultivate the data. This research used Term Frequency-Inverse Document Frequency (TF-IDF) and Support Vector Machine (SVM) classification method to examine the sentiments in each comment. Data consisted of 400 data which taken offline have a total 1799 features. The comment document is divided into 70% of training data and 30% of test data. Based on the tests performed, the best parameters obtained in the SVM method are the degree of polynomial kernel 2, the average of learning rate of 0.0001, and the maximum number of iterations which is 200 times. From these result, it obtained that the highest accuracy is 90%, 50% in the training data composition and 50% composition of test data.
Pengembangan Aplikasi Kontrol Kendali Kemudi Kursi Roda Berbasis Pergerakan Kepala HEMOCS (Head Movement Control System) Muhammad Ridho Kurniawan Pratama; Herman Tolle; Mahardeka Tri Ananta
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

Head Movement Control System (HEMOCS) is a control method which utilizing head movement, especially for mobile device interaction. Wheelchair Control Application Based On HEMOCS developed so the wheelchair movement can be controlled independently by someone who can't use their hands with help from Bluetooth Low Energy connectivity as data communication media between application and wheelchair. Head movement such as up, down, left, right, tilt left, and tilt right head movement can be recognized appropriately. Wheelchair movement will be controlled using those head movements. Head movement that has been conducted during accuracy testing with duration 0,4 until 0,6 seconds, with average angle 22,63 degrees, and with duration 0,7 until 0,9 seconds, with average angle 27,21 degrees can be recognized accurately with 100% procentage.
Implementasi Timing - Sync Untuk Sensor Networks Pada Jaringan Sensor Multihop Budiman Eka Atmaja Timur; Sabriansyah Rizqika Akbar; Mochammad Hannats Hanafi Ichsan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 10 (2017): Oktober 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Development of Wireless Sensor Network (WSN) has been growing rapidly, especially for human life. WSN applications are generally used for the needs of monitoring, tracking and controling. In some applications, WSN uses many sensors are deployed randomly in a particular area in order to obtain extensive information. However, WSN still have some issues that need to be solved, such as interference in data transmission if there are many WSN nodes send data at the same time and using the same frequency channel, the data collision will occur. One of many solutions to solve this issue is Time Division Multiple Acces (TDMA) method. Time division multiple access (TDMA) is a channel access method for shared medium networks. It allows several users to share the same frequency channel by dividing the signal into different time slots. TDMA made those WSN nodes to send their own data sequentiallly, so the nodes will send the data at a different time according to the slot time they have got before. In order to apply the TDMA method, the local clock of the entire WSN nodes must be synchronize, but there are significant issues in wireless synchronization, because the propagation delay is too long, event the small area. The aim of this research is to apply one of the best time synchronization algorithm called Time-sync Protocol in Sensor Network (TPSN) to support the TDMA method. After implemented, there are some problems that occur as the node can not pass TDMA to another node, unreliable, work only few nodes, and small scale. Due to this issue, the developer wants to add some features what can cover up this weakness using library rf24 arduino. The system was tested, and The results showed good result with more flexible for multiple network. The results show the ability to send messages by going through other nodes with a predetermined schedule.
Implementasi Link Fast-Failover Pada Multipath Routing Jaringan Software-Defined Network Muhammad Aji Wibowo; Widhi Yahya; Dany Primanita Kartikasari
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

Software-defined network is a concept of computer network approach where the control plane is separated by data plane. The communication between the data plane controller uses the OpenFlow protocol. In an SDN architecture it often happens to have interference such as failure link. in the latest openflow protocol there is a group type that overcomes the interruption of the link is using a fast-failover mechanism. Tests conducted to measure the performance of the system include testing functionality, response time and packet loss. The results of the test obtained from this study are able to search the path at the time before the link down and after the link down. At the time of link 1 in down in topology has a response time with an average of 0.38-0.681 ms and in link 2 has an average of 0.272 - 0.549 ms. When the link is down, the lost packet until it finds the new path can be known the value of packet loss. packet loss obtained from the simulation has an average of 0.423% -0.636%.
Identifikasi Gangguan Kepribadian Dramatis Menggunakan Metode Learning Vector Quantization (LVQ) M Kevin Pahlevi; Budi Darma Setiawan; Tri Afirianto
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

Personality disorder is one of the health problems experienced and felt by the community. Group B or so-called dramatic is more common due to increased suicide rates, high social media access, still happening brawl and bullying all over, then many phenomena about people who want to steal attention with a physical look or style of language that is not commonly, this can increase the risk of people affected personality disorders, especially the dramatic group. This study try to identify dramatic personality disorders. This dramatic personality disorder is divided into 4 classes. The method used is Learning Vector Quantization. Data obtained from questionnaires using 32 parameters and managed to get data as much as 90 data. This research conducts 4 test scenarios that result in a learning rate of 0.2, a multiplier learning rate of 0.4, a minimum learning rate of 0.001, and a training data of 60. The result of accuracy is 70%.
Pengembangan Sistem Deteksi Karbon Monoksida Berbasis IoT Salman Al Farizi; Eko Sakti Pramukantoro; Heru Nurwarsito
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

Health factors become one of the important role in improving the quality of human life. Low air quality in densely populated cities can lead to a significant drop in health care. Carbon monoxide as the main pollutant of the capital deserves more spotlight in its handling. This research focuses on indoor detection of carbon monoxide gas. In the previous research, IoT middleware was developed which can solve syntactical interoperability problem. This developing system will be integrated with existing IOT middleware. To facilitate user interaction, the development is done by making apps for smart phones based on the Android operating system that provide a user-friendly interface and can provide notifications in the app if the sensor readout value exceeds the safe limit. There are several parameters to test the developed system, including integration, context-awareness testing, and Quality of Service (QoS). Based on the results of testing on this system, it was found that the developed system has perfect data integrity. On the other hand, developed systems meet the rules of context-awareness computing.

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