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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 6,945 Documents
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Evaluasi dan Perbaikan Desain Antarmuka Pengguna Situs Web SMA Negeri 1 Bangkalan Menggunakan Metode Webuse dan Pendekatan Human Centered Design Sapriliana Sukmana Putri; Satrio Hadi Wijoyo; Buce Trias Hanggara
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 11 (2019): November 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The website has an important function as a useful media for education. SMAN 1 Bangkalan is one of the schools have their own website to provide information. Information obtained such as announcements or the latest news. This study theme is evaluating and improving the user interface of the official website of SMAN 1 Bangkalan. Website Usability Evaluation Tool (WEBUSE) method as an evaluation material that contains a questionnaire. The function of this questionnaire is to see the level of success of a website that suits user needs. Results of the evaluation found a problem about the user interface of the website that still does not provide satisfaction and comfort of its users. Therefore, this research was conducted to improve the website interface design using HCD so that the design is as desired. The results of the usability evaluation of SMAN 1 Bangkalan website have increased the usability value between the old design and the new design improvement. The overall usability value for the website user interface is currently 0.55 which means it's at a moderate level, and the usability evaluation results for the overall design solution are 0.74 which means it's at a good level,
Pengembangan Sistem Manajemen Kepegawaian berbasis Web (Studi Kasus Universitas PGRI Madiun) Elkaf Fahrezi Soebianto Putra; Achmad Arwan; Edy Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 10 (2019): Oktober 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The administrative process of the University of PGRI Madiun staffing is everything related to the administrative management of the employees of the University of PGRI Madiun (UNIPMA). Matters relating to the administration process of UNIPMA include the appointment of permanent lecturers, promotion of functional lecturers, promotion of employees, inpassing equalization of lecturers, lecturer certification, and dismissal of employees. Some problems are less effective and efficient in the administrative procedures or procedures of the UNIPMA staffing system because the staffing administration process is still carried out manually and conventionally. The length of the procedure, starting from the employee submitting the file, checking the completeness of the file, to waiting for approval from the officials concerned requires a short time. Such conditions will certainly take a lot of time and energy in every time administrative staffing. Also, sometimes the official concerned cannot attend due to having busy outside the campus. In this study a staffing system was developed which is expected to be able to handle the administrative problems of UNIPMA employees. The development of this system uses a waterfall development process model. The stages carried out in this research are problem identification, literature study, engineering requirements, design, implementation, testing, and drawing conclusions and suggestions. This study adopts the evolutionary prototyping model at the requirements engineering stage. This system has been tested by unit testing, integration testing, and validation testing. Unit tests produce valid status in six test cases, integration testing produces valid status in three test cases, and validation testing produces valid status in 102 test cases.
Algoritme Enhanced K-Means dengan Ekstraksi Fitur Local Binary Pattern dan Color Moment untuk Pengelompokan Citra Makanan Mohammad Rizky Hidayatullah; Yuita Arum Sari; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 7 (2019): Juli 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Food is a source of our energy for doing our daily activities. Food have each color and texture for their identity. Using color and texture from the food, we can feel the taste in our mind while we see that food. In this paper, we want to know about what information we can get with color and texture of food. To do that, we use clustering to see how color and texture can show any information like nutrition inside the food. We used Enhanced K-means for grouping food image because we want to get a consistent results cause in Enhanced K-means, the initialization didn't use random data. The food image is grouping by color and texture cause they are two thing who can increase someones appetite. To get the color feature we used Color Moment and for texture feature we used Local Binary Pattern. For the result of evaluation using Coefficient Silhouette (CS) and Davies-Boulding Index (DBI), clustering using color texture get best result with DBI score is 0.957 and Silhouette score is 0.399 whereas when we use color and texture, result for DBI score is just 1.058 and Silhouette score is 0.31.
Penerapan Metode Extreme Learning Machine Untuk Prediksi Konsumsi Batubara Sektor Pembangkit Listrik Tenaga Uap Rosintan Fatwa; Imam Cholissodin; Yuita Arum Sari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 11 (2019): November 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

PLTU is a power station that utilizes coal as fuel. The PLTU sector is a dominant sector in absorbing domestic coal. During the period 2010 - 2015, coal consumption continued to increase along with the 35,000 MW power plant project which was designed in the 2015-2019 period, 19,940 MW (56%) was a coal-fired power plant. Based on data from the Director General of Mineral and Coal at the Ministry of Energy and Mineral Resources, said that the increase in coal consumption is due to the growing PLTU and the economic development which is directly proportional to the increase in national coal consumption. Based on these problems, the prediction of coal consumption in the power plant sector is needed so that coal consumption can be controlled in accordance with its production. In this study, the prediction process is carried out in several processes, namely data normalization, prediction calculation using Extreme Learning Machine, data denormalization, and error values ​​using MAPE. Based on the results of tests conducted on daily coal consumption data for 2018 at the Tanjung Jati B PLTU Unit 1 & 2 obtained the smallest MAPE value of 6.603% with many features 2, the number of hidden neurons as much as 4, and the comparison of the percentage of training data and testing data 70 %: 30% using the Sigmoid activation function.
Pengaruh Serangan Rushing Terhadap Protocol Ad Hoc On Demand Distance Vector (AODV) pada Jaringan Mobile Ad Hoc Networks (MANET) Eldyto Puspa Laksana; Reza Andria Siregar; Achmad Basuki
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 10 (2019): Oktober 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Mobile Ad Hoc Networks (MANET) is one type of wireless network that exists today, where mobile nodes are associated with unplanned or called ad hoc. There are various types of routing protocols on MANET and one of them is reactive routing. One example of reactive routing algorithms is Ad hoc On-Demand Distance Vector (AODV). Rush attacks use RREQ on route discovery to become a connecting node between the source and destination data packets on the network. The number of nodes used is 30 nodes, 40 nodes, 50 nodes. The simulation was carried out using Network Simulator (NS-2.35). Rush attacks have an impact on routing the AODV protocol by reducing its performance. It is proven by the value of the packet delivery ratio, packet loss, throughput, and end to end delay, which decreases in quality. The biggest decrease occurred in the implementation of 4 rushing attacks, there was a decrease in quality where packet delivary ratio at 40 nodes decreased by 12.90%, packet loss at 40 nodes increased by 12.90%, throughput at 40 nodes decreased by 18.27 kbps, and end to end delay on 30 nodes increased by 4035.3259 ms. Compared to experiments on 30 nodes and 50 nodes the quality loss is very small and there tends to be no decrease.
Klasifikasi Pertumbuhan Penduduk Kota Malang Menggunakan Hibridasi Algoritme Genetika dan Jaringan Syaraf Tiruan Obed Manuel Silalahi; Imam Cholissodin; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 12 (2019): Desember 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Population is one of the common problems that developed into a problem for developing countries including Indonesia. Malang, which is part of Indonesia, is known as a city of education and tourism that is sufficient to increase the population. These requirements certainly need special attention for the relevant parties to carry out certain policies in order to support population turnover. One thing that can be done is the classification of population growth based on age groups that can be done by the system efficiently. Based on this, we need a system that has scientific computing capabilities in its application. Backpropagation is a method of Artificial Neural Networks which is quite popular and helps to be used in data classification. This method can be combined with genetic algorithms in the optimization process of initial weights v and w. The ideal parameters obtained from the test include: K-fold = 8, a combination of the bipolar approval function, the number of generations of 10, the population number 75, the value of Cr = 0.8 and the value of Mr = 0.2, the number of iterations used 100, alpha value of 0.1 and hidden neurons 2 with the resulting accuracy of 92.86%.
Sistem Tertanam Pendeteksi Kondisi Ideal Fermentasi Susu Kefir berdasarkan Kadar Alkohol dan pH menggunakan Metode Naive Bayes Izza Febria Nurhayati; Dahnial Syauqy; Rizal Maulana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 10 (2019): Oktober 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Kefir is a fermented milk product that contains probiotics which is very useful for body health. Kefir is fermented milk that contains alcohol and has a low pH than milk. At this time in the process of kefir milk fermentation is done manually so as to allow failure and a decrease in the quality of kefir milk. From these problems, a study was conducted called the Embedded Detection System for Ideal Fermentation of Kefir Milk based on Alcohol Levels and pH using the Naive Bayes Method, so kefir milk producers can improve the quality of kefir milk and reduce the potential for failure during the kefir manufacturing process. In this study the parameters used in determining the condition of kefir milk are pH and alcohol content. PH and alcohol parameters play a role in determining how long the fermentation takes place so that the condition of the kefir milk is finally known. The pH was detected using a SKU SEN pH sensor and the alcohol content in kefir milk was detected using an MQ-3 sensor and processed by the Arduino Uno microcontroller using the Naive Bayes method. The use of the Naive Bayes method was chosen for the classification of kefir milk conditions, because this method is one classification method that is quite effective and fast in its calculations. From the results of several tests conducted it is known that the error percentage of the SKU-SEN pH color sensor reading is 10.087% and the error percentage value of the MQ-3 gas sensor is 12.65%. In testing the accuracy of Naive Bayes classification obtained 70% with 10 test data from 60 training data with a system computing time of 3,0781 seconds..
Klasifikasi Hoaks Menggunakan Metode Maximum Entropy Dengan Seleksi Fitur Information Gain Albert Bill Alroy; Putra Pandu Adikara; Sigit Adinugroho
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 9 (2019): September 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In 2016, Indonesia has 132 million internet users. This number increase to 143 million users in 2017. Internet user can access many things such as chatting services, social media, and e-commerce. There are many people who intentionally make false information known as Hoax. Hoax are information or news that contains uncertain facts or events that have not occured. The problem of spreading Hoax can be reduced by making a system that can classify whether a news is a Hoax or not. The method used in this research is Maximum Entropy with Information Gain Fiture Selection. The amount of data used in this research is 600 articles in Indonesian. There are 372 news articles classified as facts and 228 news articles classifed as Hoax. The amount of best results accuracy in this research is 0,8 with information information gain fiture selection (threshold = 50%), 1 precision, 0,8 recall, and 0,89 f-measure.
Deteksi Sinkhole Attack pada MANET dengan Protokol Routing AODV Menggunakan Perbedaan Sequence Number Muhammad Nursodik Wicaksono; Dany Primanita Kartikasari; Rakhmadhany Primananda
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 1 (2020): Januari 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In a MANET network that utilize AODV as the routing protocol, a routing table is updated every time there is a demand from a node. This can in turn create a security vulnerability, one of them is the possibility of sinkhole attack. Sinkhole attack is an attack that occurs when a routing table is being made or updated, where malicious node will advertise fake RREP to deceive the route making process so that all the data will go to the malicious node. Because of that, this research focuses on making a sinkhole attack detection system on MANET network. The proposed system uses detection algorithm that observes the difference between sequence number. Previous research has shown success in detecting malicious package by using RREQ message package, therefore a different approach will be used in this research in which the modification is made in the RREP processing by comparing the incoming RREP sequence number with the existing threshold so that a valid RREP can be identified from the fake one. Test result done in a simulation with OMNET++ shows that the implementation of the detection algorithm has successfully been done with an average detection rate of 97.5% and caused the increase of Packet Delivery Ratio performance when compared to the one without detection algorithm. But with the side effect of also increasing the routing overhead load of the network.
Prakiraan Penggunaan Volume Air PDAM Kota Malang Menggunakan Metode Support Vector Regression dengan Ant Colony Optimization Akmilatul Maghfiroh; Agus Wahyu Widodo; Yuita Arum Sari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 10 (2019): Oktober 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Water is a very important element in the life of all living things. Humans need water to survive and carry out daily activities. Regional Drinking Water Company (PDAM) is a Regional-Owned Company (BUMD) that provides clean water for every region in Indonesia, one of them is PDAM in Malang. The population continues to grow every year causing an increase in the need for clean water. Considering the increasing need for clean water and limited water sources, PDAM Malang must distribute the water optimally and efficiently so that consumers can fulfill their needs for clean water. Therefore, by forecasting the water volume that can be used, it is hoped that it can help PDAM Malang to estimate the volume of water that needs to be distributed efficiently and on target. Some water forecasting methods such as "An Enhanced Differential Evolution Based Gray Model For Forecasting Urban Water Consumption" has a pretty good MAPE value of 2,285%. Then for the SVR-ACO method used in the research "Support Vector Regression and Ant Colony Optimization for HVAC Cooling Load Prediction" has an NMSE of 0.241.

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