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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 Penyimpanan Data Persisten pada Docker Swarm Menggunakan Network File System (NFS) Andreas Frederius; Mahendra Data; Widhi Yahya
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

Docker Swarm is a distributed system development technology for managing the Docker engine group. With Docker Swarm you can run multiple containers at the same time in the Docker engine group. In a distributed method using Docker Swarm a persistent data storage is needed. But facing Docker Swarm stores data on the container, if the container is deleted then the data will also be deleted. Therefore we need a persistent alternative storage data. Network File System (NFS) is an open protocol that can be used to share files on many computer networks and operating systems. The design of the NFS architecture on Docker Swarm uses a client-server architecture. Docker Swarm as a client and NFS as a server. NFS is able to provide persistent storage data on Docker Swarm by configuring data even if the container and machine are restarted. NFS can prepare data on Docker Swarm to retrieve data that has been stored on NFS-3 data remains persistent. The average write speed performance on NFS is 30,168 KB while the working speed of reading the average on NFS is 63,939 KB.
Evaluasi Kualitas dan Kesuksesan Sistem Informasi Batu Among Tani Teknologi (BATT) dengan Menggunakan Pendekatan Technology Acceptance Model (TAM) dan Delone & Mclean Arrofiq Budi Al Fajri; Admaja Dwi Herlambang; Satrio Hadi Wijoyo
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

Batu Among Tani Technology is an information system where there are three applications that are integrated into information system of BATT, the three applications are Among Tani, Among Kota, and Among Warga applications. The creating of BATT information system is purposed to prosper and serve the society of Batu. BATT information system was released in the middle of-2017 ago. This study aimed to understand the condition of quality and the successful of implementation of information system of Batu Teknologi Among Tani (BATT). This study was conducted with a combined model of Technology Acceptance Model (TAM) and Delone & Mclean. The data used were 160 respondents by using purposive sampling. The data were collected through questionnaires. The results of quality analysis on perceived usefulness, actual system use variable included to category of very high, and perceived ease of use variable, attitude towards using, behavioral intention to use included to category of high. The results of the successful analysis on the system quality variable, information quality variable, use, user satisfaction included to category of high, service quality included to category of high enough, and the net benefits variable included to category of very high. The results of the quality of BATT information system implementation based on the TAM model are in the high category with a percentage of 79.0% and the successful implementation based on the Delone & Mclean model is in the high category with a score of 77.37%.
Perencanaan Keamanan Informasi Berdasarkan Analisis Risiko Teknologi Informasi Menggunakan Metode OCTAVE dan ISO 27001 (Studi Kasus Bidang IT Kepolisian Daerah Banten) Fadzri Ahdi Anshori; Suprapto Suprapto; Andi Reza Perdanakusuma
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

Banten Regional Police is a public service provided by the government to secure and enforce the law in force in Indonesia, especially in urban areas. Operational activities at the Banten Regional Police have been supported by information technology, but the application of information technology in Banten Regional Police has not had a policy regarding information security and risk management. The purpose of this study is to provide a risk mitigation plan that is appropriate for the Banten Regional Police. Provisions on risk mitigation plans can be obtained by identifying and assessing the risks in the Banten Regional Police based on the OCTAVE method. Risk mitigation recommendations are provided in accordance with ISO 27001 standards and prioritized based on the costs and benefits of each recommendation action. The final results of this study, there are 28 risks that may occur in Banten Regional Police with the highest RPN value 240 to the lowest RPN value 18. Risk mitigation recommendations can be made with 11 controls contained in ISO27001.
Pengembangan Sistem Pelaporan Pemeliharaan Stasiun ONLIMO (Online Monitoring) Milik BPPT (Badan Pengkajian dan Penerapan Teknologi) Berbasis Android Ferlie Deanada Effendi; Herman Tolle; Komang Candra Brata
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

For the responsibility of all activities who's been done by station operators, a report to the admin data center is needed. One activities that must be reported is ONLIMO station maintenance activities. However, the current reporting system still using group chat rooms, which makes the admin difficult to get all the data. In addition, there were also difficulties in recording sensor sparepart replacement. So, a system is needed to simplify reporting process at Badan Pengkajian and Penerapan Teknologi (BPPT). The system is implemented on mobile application because a lot of station operators using Android device and on server side using the website platform. For development, agile method is used because it suitable with the process of evaluating research at BPPT. The functional test results found that all feature was valid. While for non-functional testing, we found usability value is 75 which shows that the system is good but needed repairs, the system needs internet connection for reliability aspects, and the system can selecting users well for security aspects. For the effectiveness level obtained 100% where all users can use the system effectively, and for system efficiency is 0.0103 goals/sec which indicates the ONLIMO reporting system already effective and efficient.
Peramalan Jumlah Kasus Penyakit Menggunakan Jaringan Saraf Tiruan Backpropagation (Studi Kasus Puskesmas Rogotrunan Lumajang) Andika Harlan; 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

Changes in the number of cases of disease is very influential on health improvement efforts both in terms of medicines availability, targeted medicines, damaged medicines and so forth. Knowing the pattern of the number of cases of disease is very important for some activities and jobs that exist. Therefore it is necessary to forecast the number of cases of disease to determine the pattern of the number of cases of disease in the future. One of the most common method of artificial neural network forecasting is Backpropagation. This study aims to forecast the number of cases of disease by using the case study of puskesmas Rogotrunan, Lumajang using Backpropagation method. Backpropagation parameters tested are the amount of data (n), alpha (α), and the number of iterations (epoch). Forecasting the number of disease on cases with test data from January to December of 2016 conducted using Backpropagation resulted in the value of MSE 115 and the accuracy of 0.0088.
Perbandingan Algoritme FIFO, PIE, dan RED terhadap Quality of Service pada Wireless Local Area Network Rayza Arfian; Primantara Hari Trisnawan; 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

One product of technological advancements in wireless network is Wi-Fi with the IEEE 802.11 standard. Wi-Fi technology can be found in public facilities in the form of a Wireless Local Area Network (WLAN) and then turned into a public hotspot. A public hotspot surely has limitation either in accomodating a data packet or a number of clients connected. Data packets that are in the queue are generally processed according to the order in which the packets arrives. This can have an effect on Quality of Service. In this research, the implementation of the queue algorithm in the WLAN was carried out to determine its effect on Quality of Service. The queue algorithms are the First-In-First-Out (FIFO) algorithm, Enhanced Proportional Integral Control (PIE), Random Early Detection (RED). The Wi-Fi standard being used is IEEE 802.11b. In Packet Delivery Ratio, the FIFO algorithm provides better results than PIE and RED. FIFO experienced a 0,7% improvement when using 1000 packets as a queue capacity. Then in the End-to-End Delay test, PIE and RED provide an average delay of 0,9 seconds on each test, better than the FIFO algorithm which can reach 5 seconds. Finally, in throughput all the algorithms tested give results that are not far with only 1-2 bps differences.
Implementasi Algoritme Genetika Untuk Optimasi Komposisi Gizi Menu Makanan Bagi penderita Stroke Hemoragik Sofi Hidyah Anggraini; Imam Cholissodin; Bayu Rahayudi
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

Stroke is one of the leading causes of death in the world. Hemorrhagic stroke becomes the most dangerous stroke because it can kill directly or even can leave a defect for the patient due to leakage or rupture of blood vessels in the brain. Thus, nutrition adjusment becomes one of the most important thing in preventing the recurrence of stroke and can recover the patient. Preparing a diet food menu for people with hemorrhagic stroke is not easy, because the preparation involves the equilibirum amount of nutritional menu and nutritional needs of patients. In this study, genetic algorithm implemented to solve the problem of diet food preparation for patients with hemorrhagic stroke. The data used as many as 42 data includes 12 carbohydrate, 15 animal protein, and 15 vegetable protein. The reproduction process uses the method of Extended Intermediate Crossover and Reciprocal Exchange Mutation by using permutation representation. The optimal parameter values of genetic algorithm based on the testing and analysis results are 0.1 and 0.9 for Crossover rate and mutation rate, 1000 for the population size, and 700 for the iteration amount on the convergence test.
Pengembangan Aplikasi Mobile Tracer Study Menggunakan Platform Android Ahmad Kamil Almasyhur; Herman Tolle; Adam Hendra Brata
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

Tracer study system is a system that connects students who have graduated from educational institution with their friends who have graduated, which call as alumni. Alumni can give each other information about job vacancy to other alumni, the alumni can also provide information on current alumni work. Alumni can view information on alumni's work as well, then alumni can also provide educational information and view educational information that has been filled by the alumni themselves.There is no application that helps in the process of tracer study conducted in Faculty of Computer Science, Universitas Brawijaya (FILKOM UB), make the author the initiative in the process of developing mobile tracer study application using Android platform. This study uses prototyping SDLC (Software Development Lifecycle), which is written on the script of this thesis is the last prototype, or the final prototype. By using the firebase and Android platform, it is expected that the tracer study system can assist in the process of tracer study in FILKOM UB, with the result of the usability test is 80.625 (in range 0 - 100) included in the qualification is good enough, the result of functionality and compatibility generated by tracer study application capable of achieving perfect value on nougat and marsmallow operating system.
Rancang Bangun View controller Menggunakan Sensor Akselerometer Pada Game Bus Simulator Sebagai Sarana User Experience (UX) Berbasis Sistem Embedded Bukhori Darmawan; Dahnial Syauqy; Mochammad Hannats Hanafi Ichsan
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

games with a different experience or could be said to feel the experience in playing the game.-Racing game on an awful lot of opportunities to apply user experience, on this occasion the researchers to develop a system to replace a mouse in-game play racing.Based on that required a system view controller, system implementation view controller is done with the arduino pro micro as mikorkontroler and MP9250 as input motion sensors are then connected to a laptop with media communications either a serial cable and installed on the user's head with a headband are embedded.To generate a different user experience in playing a game, the system is able to restrict the movement of the view controller with 40 ° restrictions to the movement of the user's head on when turned to the right and to the left so the user can freely when turned to the right and to the the left will be used.The system will be tested in its entirety from some corners that will result in the value of the angle with the value of the difference in average low RMSE where the system can already be used and tested by quantitative descriptive survey method of correspondence for 30 get the category values from the user experience.The results of the test are obtained by averaging the test angle sensor is approximately 0.2 ° and the corresponding user experience testing results systems were able to get a good category average based on feedback given by 30 users.
Perbandingan Jaringan Saraf Tiruan LVQ Dengan Backpropagation Dalam Deteksi Dini Penyakit Jantung Koroner Mohammad Setya Adi Fauzi; Bayu Rahayudi; Candra Dewi
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

Coronary heart disease is one of the highest causes of death in the world. The World Heart Federation estimates the number of deaths from this disease in Southeast Asia to reach 1.8 million cases in 2014. In Indonesia in 2013 recorded 883,447 people diagnosed with coronary heart disease with the majority of patients aged 55-64 years and the death rate due to this disease is enough high, ie 45% of all deaths in Indonesia, so early detection of coronary heart disease is very important for the risk of this disease can be minimized. One of the popular machine learning techniques and fits in this case is the artificial neural network. Artificial neural networks are systems that are inspired by reasoning processes in human neural networks. In this study the authors compared the performance of artificial neural network LVQ method and Backpropagation method for early detection of coronary heart disease. The variables of coronary heart disease used in this study were gender, age, pulse, systolic blood pressure, cholesterol, blood sugar, triglycerides, chest pain, shortness of breath, and cough. From the results of this study showed that the Backpropagation method is better than the LVQ method with the comparison of the accuracy value of training of 95,99097% for Backpropagation compared to 66,89659% for LVQ and the accuracy value of testing of 68,76034% for Backpropagation compared to 54,30313% for LVQ.

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