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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.
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Articles 50 Documents
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Search results for , issue "Vol 2 No 4 (2018): April 2018" : 50 Documents clear
Implementasi Metode Backpropagation Untuk Klasifikasi Kenaikan Harga Minyak Kelapa Sawit Dwi Rahayu; Randy Cahya Wihandika; Rizal Setya Perdana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Palm oil is a plantation product that is the main export commodity of Indonesia. The increasing amount of processed materials that can be made by using palm oil makes the rise of oil palm demand. The main factor causing an increase in demand for palm oil is a relatively low price compared to its competitor prices such as soybean oil, sunflower seed oil, peanut oil, cotton oil and rapeseed oil. Price becomes an important factor to determine the selling point of the product. Prices also affect the producer's profit. The classification of the possibility of rising or falling prices of palm oil becomes a major consideration of a consumer to buy. This writing discusses the classification of palm oil prices using Backpropagation method. The Backpropagation method will model the coconut oil price data 5 months earlier to find the classification results in the 6th month. Classification results obtained have an accuracy of 69.57% with the number of hidden neurons as much as 50, the value of learning rate as big as 0.1 and the number of maximum iterations of 70,000.
Analisis Perbandingan Metode Routing Spray and Wait dengan Prophet untuk Daerah Terpencil Imron Sazali; Achmad Basuki
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Indonesia's geographical conditions, some of which are inland, in which there is no reliable internet connection. Routing model selection is highly dependent on the geographical conditions of the area. Routing is a process for determining the route from source to destination in a communication scheme. It takes a Routing scheme that has tolerance for delay, mobility, and requires minimal resources. Delay Tolerant Network (DTN) technology is a data delivery mechanism that resists latency, and can carry large data packets with minimal system resources. With the DTN (Delay Tolerant Network) technology the problem is likely to be resolved. Two DTN protocols in this final project are Prophets that use knowledge and Spray and Wait with replica strategies. Both protocols are simulated in a predetermined environment using One Simulator and then analyzed based on performance measurement parameters of delivery probability, average delay and overhead ratio. From the results of research conducted, obtained data that Routing Spray and Wait has a tendency better performance in terms of Delivery Probability and Average Delay. Whereas in the case of Overhead Ratio, Routing Prophet shows a smaller value. For the environment that has characteristics as in this study Spray and Wait is better than Prophet.
Pengembangan Sistem Survei Kepuasan Pelanggan Pada PDAM Surya Sembada Kota Surabaya Alfa Nur Fitriana Islami; Ismiarta Aknuranda; Andi Reza Perdanakusuma
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

PDAM Surya Sembada Kota Surabaya is one of regional owned business unit which has responsibility in providing drinking water for Surabaya and its surrounding community. Therefore, PDAM conducts customer satisfaction surveys every year to improve the quality of service e in the company in order to foster satisfaction for its customers. In the process of implementing the customer satisfaction survey, PDAM experienced several obstacles such as in determining the sample data for survey respondents who still use manual calculations resulted in frequent miscalculation and input data, then in terms of cost PDAM have to incur additional costs because it uses the services of survey providers to distributing questionnaires and analyzing the results of questionnaires. The distribution of questionnaires is still done manually so that PDAM still have to provide questionnaire question in paper form. The distribution of questionnaires and analysis carried out by the survey service providers resulted in the large number of data manipulations. Based on the above problems, the solution that can be applied is to develop a computer-based customer satisfaction survey system that can assist in processing sample data, delivering effective and efficient questionnaires, and can provide reports of questionnaire analysis results quickly and accurately. The method used in the development is the waterfall method with the stages of requirements analysis, design, implementation and testing. System testing process using validation testing and compatibility testing. The results of the validation tests show the overall functional requirements can run well in accordance with the needs of users. And the results of compatibility testing show that the system works well on some different browsers.
Analisis Faktor-Faktor yang Memengaruhi Perilaku pengguna Messenger ABC dalam Penerimaan Informasi pada Lembaga XYZ dengan Menggunakan The Unified Theory of Acceptance and Use of Technology (UTAUT) Ami Fajar Hikmah; Ari Kusyanti; Andi Reza Perdanakusuma
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Internet is one of the information technology that can facilitate user to find information and communicate with other. The most popular service of internet is instant messenger. LINE is the most favourite application for user. LINE messenger is an application that provide free messaging, free call and video call. One of the example of LINE messenger user is Eksekutif Mahasiswa Sistem Informasi of Brawijaya University (EMSI UB). EMSI is an executive institution in the Faculty of Computer Science Brawijaya University. In use of LINE in the EMSI UB have a problem, one of the problem is evidence of important conversations with other user screenshoot by other users and the results of conversations are disseminated to other users as well. This research purpose to determine about relationship between independent variables and dependent variables and knowing about factors that can affect LINE user about receiving information on EMSI UB. This research use The Unified Theory Of Acceptance and Use Of Technology (UTAUT), this model developed by Venkatesh et al. (2003) and all of result questionnaire processed by linear regression analysis. The samples used in this research is 100 user through an online questionnaire. The results of this research show that Effort Expectancy, Social Influence, Trust and Privacy variables have a significan influence on Behavioral Intention. There are two factors that have no significant influence on Behavioral Intention is Performance Expectancy and Faciliting Condition.
Pengembangan Sistem Informasi Kesehatan Berbasis Web Berdasarkan Model Organisasi Dan Manajemen Kesehatan Primer "ANDAL" Tri Wahyu Herlambang; Ismiarta Aknuranda; Mochamad Chandra Saputra
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The team of Public Health Sciences Faculty of Medicine Universitas Brawijaya (IKESMAS FKUB) initiated a strategic management model on primary health services with integrative, strategic, effective, efficient, quality, affordable and equitable management in the management of primary health care in a region called management model "Reliable". However, the implementation of this management model requires information systems that have certain characteristics that support the management model to make it faster and easier to collect and process data into information that can be utilized by stakeholders to improve primary health care. This study aims to build information systems to demonstrate the ability of the model of management reliably more easily and can be a pilot study to be applied in all primary health services so as to save health claims from participants BPJS Health. The results of this study are the development of web-based health information system through the process of requirements analysis, design, implementation, and testing. Testing conducted using Validation Testing method, Compatibility Testing, Condition Testing, Equivalence Partitioning, Boundary Value Analysis Shows the result that Information System built in this research can run well.
Analisis Kinerja Pengiriman Data Modul Transceiver NRF24l01, Xbee dan Wifi ESP8266 Pada Wireless Sensor Network Upik Jamil Shobrina; Rakhmadhany Primananda; Rizal Maulana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

WSN technology is the latest technology that still has many obstacles related to programming or real-time communication needs. Challenges related to real-time communication include the system must be able to adapt to the environment and noise as well as to the delay time that occurs when sending data. Therefore this research performs analysis of communication device (transceiver) which is the core of WSN node with delay test parameter, RAM memory usage and functional system test. The transceiver modules used are nRF24L01, Xbee S2 and ESP8266. This research is done by designing two nodes as sender and one receiving node. Data delivery is derived from the ADXL335 accelerometer sensor. The sending and receiving data is done simultaneously using RTC (Real Time Clock) module with send and receive time 0, 15, 30, and 45 seconds. From the test results show that nRF24L01 module is superior in terms of packet delivery and xbee has less noise and data collision, while esp8266 data packet received a lot of noise and data collision. In the delay parameter, xbee has the smallest range of 0.90 seconds to 1.09 seconds. For average memory usage on nRF24L01 over 32.00% of RAM capacity, xbee is more than 40.00% of RAM capacity and ESP8266 is more than 55.00% of RAM capacity.
Otomatisasi Publikasi Resource File Sharing Menggunakan UPnP Based System Anggi Atmajaya Siagian; Eko Sakti Pramukantoro; Mahendra Data
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Many technology offer to do the transfer data process. But those technology have its weakneses. UPnP is one of file sharing technology who able to cover the other weakneses. With using ssdp and soap protocol, UPnP able to zero configuration, multicast and can be used with various platform. Research using implementative method to able find out how UPnP can do the transfer data process and its performance in a network. The author do experiment to program model dan modify it so the program accordingly as desired. Program model successfully created and devided into server program and client program. From the program model UPnP able to do data transfer process with help from http protocol. For UPnP performance, with 500Mb data transfer speed can reach 15.69Mbps and with 1Gb data transfer speed can reach 4.65Mbps and from testing, server can accommodate 3 clients.
Pengembangan Electronic Customer Relationship Management (E-CRM) Pada Toko Sepatu Aneka Sport Malang Dengan Metode Kerangka Kerja Dynamic CRM Ghaniyu Zulfata; Niken Hendrakusma Wardani; Adam Hendra Brata
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The business competition growing rapidly and the development of information technology are the reason for the company to change the company's thinking on business, which was once oriented towards profitability toward potential factors such as customer satisfaction. This can motivate companies to take advantage of technology in maintaining good relationships with customers in order to form customer loyalty. This study aims to design and build Electronic Customer Relationship Management (E-CRM) software in Aneka Sport shoe shop Malang by using framework dynamic of CRM method. The framewok dynamic dynamic of CRM method is used to analyze system requirements based on information obtained from customers, for customers and by customers. In this software implementation using waterfall system development method and built based website with PHP programming language and MySql database. The software is tested using white-box testing indicating that 3 functions can run correctly, black-box testing shows 23 valid status functions, compatibility tests that show the system works well on 8 types of website browser, and user acceptance testing shows 81.9% of users agree. From the test results can be concluded that this software has been successfully developed according to the design and can be accepted by the user.
Klasifikasi Luka pada Jaringan Payudara Berbasis Spektra Impedansi Listrik Menggunakan Fuzzy k-Nearest Neighbor Sandya Ratna Maruti; Imam Cholissodin; Heru Nurwarsito
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Breast disease generally occurs in women with increased incidence of disease each year. The mortality rate for the sufferer is up to 40% and above and tends to be in modern young women. Therefore breast cancer detection and early diagnosis of the stage become the most important problem in medicine. The physiopathology state of human breast tissue can be seen with Electrical Impedance Spectral (EIS) so that it can be classified. The aim of this research is to classify the wound on breast tissue and to know the accuracy using Fuzzy k-Nearest Neighbor (FKNN) method. The dataset consists of 105 data, from the UCI-Repository dataset with 9 input parameters obtained from electrical impedance including I0, PA500, HFS, DA, AREA, A / DA, MAX IP, DR and P. While the output is a condition of breast injury that is glandular tissue, connective tissue, adipose tissue, mastopathy, fibro-adenoma and carcinoma. The FKNN test yields the best value of m = 2, the percentage of training data = 60% and k = 3. The result of this method is able to classify 28 data testing in accordance with the actual class and 14 data testing which is not in accordance with the actual class of total 42 data testing. The accuracy rate is 66.6666667%.
Identifikasi Tingkat Resiko Penyakit Lemak Darah Menggunakan Algoritme Backpropagation Zulianur Khaqiqiyah; Budi Darma Stiawan; Marji Marji
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Blood fat or often known as lipid profile is one of the sources of energy in the body in the form of fat components that lie inside the blood vessels. Blood fat serves as a carrier of vitamins, forming cell walls and steroid hormones. But the amount of high blood fats can be resulting in the risk of dangerous diseases, such as heart disease and pancreatitis. To prevent further disease, then this study was made to determine the level of risk of internal blood lipid in a human body. The algorithm that is use for the classification process is one of the algorithms on the artificial neural network, that is Backpropagation. In the testing process carried out on the number of iterations, the effect of the value learning rate, and amount of training data. In this study the number of neurons used are 4 input layer, 4 hidden layer, and 3 output layers. Based on the process testing that has been done, obtained the highest accuracy of 89.20% with the value of learning rate is at 0.2, at the maximum iteration of 800 and 1000. Comparison of data used is 70 trainer data and 50 test data, with target of MSE is 0.0001. While the lowest accuracy obtained is worth 65.96% with comparison of data used is 10 trainer data and 30 test data, with the value of learning rate 0.2 and 1000 iterations at the maximum.

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