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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 Biaya Bahan Menu Makanan bagi Penderita Penyakit Jantung dengan Menggunakan Metode Evolution Strategies Veronica Kristina Br Simamora; Imam Cholissodin; Mochammad Ali Fauzi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 11 (2017): November 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

People who suffered heart disease should get serious handling. Not only taking medicines regularly, maintaining diet and nutritional intake for the body is also important. The price of the food ingridients which tend to be unstable makes it difficult for patients to consume foods in meeting their nutritional needs. This research used evolution strategies algorithm to optimize the cost of food ingidients for people with heart disease. Evolution strategies algorithm consists stages of initialization population with the real-vectors chromosome representation, reproduction method using intermediate recombination, and mutation, evaluation, and selection with method called elitism. The parameters were tested by the number of population testing, number of offspring testing, number of recombination testing, and generation testing. The greater the number of populations, number of offsprings, and generations does not guarantee produce more optimal results. The greater the number of population, the number of offspring, and many generations will bring up the various chromosomes, so the chances of this algorithm produce more optimal results will be even greater. This result can happen because the basic concepts of evolution strategies algorithms that use random values in the calculation process. Number of recombination testing indicates that the fewer parent's chromosomes involved in recombination will result a varied number of offspring's chromosomes. The more varied the result of offspring's chromosomes then the chances to achieve optimal results are greater. From the parameter tests results, this research obtained that the system can meet the nutritional needs of patients using the initial 105 population, 430 offspring produced, involving 2 parents on recombination, and 400 generations. Comparison of recommended food system recommendations with expert recommendations shows that the system has provided more optimal results compared to expert recommendations. This proved that the system delivers recommendations with cheaper prices and foods that varies.
Sistem Pendukung Keputusan Untuk Penentuan Jumlah Produksi Nanas Menggunakan Metode Fuzzy Tsukamoto Agus Prayogi; Edy Santoso; Sutrisno Sutrisno
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 6 (2018): Juni 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Great Giant Pineapple is one of the agro industry companies. This company performs activities ranging from pineapple cultivation to canning process. The problem faced by PT.Great Giant Pineapple is if there is excessive production then the pineapple will be placed in the storage warehouse as the supply and the pineapple has a consumption period that does not last long and can not be consumed because the pineapple has expired due to pineapple production in the storage warehouse too long. If there is a shortage of pineapple production then customers will be disappointed because the pineapple you want to buy is up. So, with it the company will lose customers and lose. Tsukamoto's method is an extension of monotonous reasoning. In the Tsukamoto method, every consequence of the IF-THEN rules must be represented by a fuzzy set with membership function. As a result, the inference output of each rule is given explicitly (crisp) based on the α-predicate (fire strength). The raw material inventory and the number of requests are used as variables that will be represented by the fuzzy membership function. Furthermore, fuzzy Tsukamoto method to determine the amount of production applied in Decision Support System (SPK), then SPK will process the data with Tsukamoto method and will display the output (output) in the amount of goods to be produced. Based on the results of accuracy testing obtained error value of small forecasting results that is 0,0607%. The results given by the Fuzzy Tsukamoto method are in conformity with the results of the data of PT. GGC with error value 0,0607%..
Pemodelan Sistem Pakar Diagnosis Penyakit pada Tanaman Tembakau Virginia dengan Metode Dempster-Shafer Chandra Tio Pasaribu; Nurul Hidayat; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 5 (2018): Mei 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Knowladge of the nature of the pathogen, symptoms of disease, as well as the factors that influence the development of plant diseases is one of the important things that should be known to determine the appropriate control methods for pathogen targeted. The lack of knowledge possessed by farmers and the lack of consultation with Virginia's Tobacco plant experts has caused farmers to experience delays in handling the affected plants. So, on the problems of Virginia Tobacco plants can be with the creation of an expert system. The method used is Dempster-Shafer is a theory that is capable of handling various possibilities that combine one possibility with existing facts. The Dempster-Shafer theory is based on belief function and plausible reasoning used to combine separate pieces of information to calculate the probability of an event. In this study there are 9 types of disease in Virginia Tobacco plant with input system in the form of facts that occur in Virginia Tobacco plants. Based on the data used obtained accuracy value of 84.6% so it can be concluded the system goes well.
Pengembangan Centralized Smarthome Simulator Sebagai Solusi Penghematan Biaya Listrik Menggunakan Algoritma K-Means Putri Laras Rinjani; Edita Rosana Widasari; Rizal Maulana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 8 (2017): Agustus 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The efficiency of electricity usage is less concerned in our daily life. It can be seen by lots of people who wasting electricity by using electronic devices excessively. For example, people forgot to turn off their electronic devices when they leave their house, it resulted in wasted electricity usage. To resolve the problem above, The researcher would like to implement a centralized smart home system that could save electricity bills using K-Means algorithm. Inside the system that has been developed by the researcher, it will work automatically by using the result of K-Means algorithm learning process based on user behavior in using electronic devices, so it will know when the devices should be turned on or turned off. The result of K-Means algorithm learning process is an optimal schedule to turn the electronic devices on and off. Based on the optimal schedule, the system will automatically control when the electronic devices will be turned on or off, which has been tested using simulator with 100% accuracy. Moreover, the system is able to calculate the percentage of cost efficiency in electricity usage, which has been tested to six different users with the result of cost saving percentage that each user get is 7.345%, 6.554%, 4.398%, 9.62%, 12.471%, and 7.69%.
Sistem Pendukung Keputusan Rekomendasi Pemberian Usaha Kredit Mikro (UKM) dengan Metode AHP-SAW (Study Kasus: PD. BPR Bojonegoro) Siti Febrianti Ramadhani; Nurul Hidayat; Suprapto Suprapto
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

BPR Bojonegoro is a Regional Owned Company under the auspices of Bojonegoro District. The following saving facilities provided by PD. BPR Bojonegoro namely Time Deposit, Savings which includes Saving Sight, Tapeda Saving, SWP Savings (Savings Borrower Savings) consisting of Employee Loans, Business Capital Loans. In the case of determination of credit in the Bank, (DSS) Decision Support System is needed in the decision of credit lending because it feels too risky for a credit given by the bank so that in the future does not cause problems that complicate the customer or harm the bank. In giving credit decisions used in PD. BPR Bojonegoro obtained from the surveyor survey, has not used the accurate method of selecting the creditor candidate. Therefore it is necessary method capable of supporting decision making more quickly, precise and accurate. In this research, the method used is AHP-SAW method. The AHP (Analitycal Hierarchy Process) method is chosen because of AHP's ability to handle problems with multiple criteria. These criteria are arranged hierarchically to solve major problems into sub-issues. The output of the AHP method is the weight of each criterion. This weight is used in SAW (Simple Additive Weighting) to determine the rank of the credit recipient. This research performs accuracy test with 89% result and usability testing test equal to 72,82%.
Implementasi Security Pada Load Balancing Layanan Web Multidomain Dengan SSL Muhammad Rouvan Amiruddin; Sabriansyah Rizqika Akbar; Issa Arwani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 2 (2018): Februari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Load balancing is a mechanism of sharing on the traffic load to multiple servers in a balance way. An accumulation of excessive traffic load on the server will make system performance decreases. Therefore, the way to implement an optimal and secure system with a large number of incoming traffic so it is necessary to apply a load balancing mechanism. By implementing the load balancing mechanism using HAProxy will make the traffic on network runs optimally because the traffic load will be distributed on two or more connection lines in a balance way. Through the implementation of the system, the server performance becomes more optimal in the absence of overload on a server. In order to generate a secure exchange of data between the client and server, it needs to implement the SSL protocol. By implementing the SSL protocol on this system, the exchange of data between the client and server will be secure Because it is already encrypted. In this system, the number of clients is a very influential part on the performance of server response. The more number of clients will make the server response to the client will get longer while the throughput get a the results decreased and if the system receives a request of more than 500 clients then get the request error of 10.4%.
Implementasi Metode Dempster Shafer Dalam Diagnosis Penyakit Pada Tanaman Jeruk Salam Maulana; Nurul Hidayat; Edy Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 12 (2017): Desember 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Citrus Plants is one of the national commodities that has an imporant role in increasing the country's foreign exchange. According to the data from Badan Litbang Pertanian Indonesia (2015), the increase imports of citrus by 11% anually in a span of a decade, makes Indonesia become a promising International markets. It should encourage farmers, especially citrus farmers to innovate in order to compete with imported goods. Many people are trying to cultivate citrus crops. However, it is not balanced with the knowledge of how to deal with crops diseasaes. There are many problems regarding citrus plants faced by farmers, one of which is pest problem that needs special attention, for it affects the production and cause diseases. In this research, the system was developed using Dempster-Shafer method as disease detector. The data were collected using interview related to theory. The results of this research is a plant disease-diagnostic system utilizing Demspter-Shafer method that detect simptom, cause, and solution; and it is based on theory of the experts. Based on the tests that had been done, it was found that the acuracy reached 90% that indicates the system was functioning properly using Dempster-shafer.
Analisis dan Perancangan Sistem Manajemen Prospek Pelanggan Dengan Model Sales Pipeline pada PT. Supratama Prima Nusantara (Biznet Networks) Branch Malang Mokhammad Pungky Fadhli; Retno Indah Rokhmawati; Andi Reza Perdanakusuma
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 7 (2018): Juli 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In order to competing and getting a lot of customers, the company must pay attention to many factors. One of them, in an effort to increase the sales volume of the company should refer to various factors that are closely related to salesman which is the company's spearhead in marketing and product sales. So be considered if the company wants to win many deals with prospects and achieve sales targets as well as support salesman and salesman activities related to sales with a CRM (Customer Relationship Management) application, that is Customer Prospect Management System that is able to present customer data and sales stage so know whether The prospect qualifies to become a customer or not by using the Sales Pipeline model. This research using an object-oriented approach. The purpose of this research is to modelling the business processes, analyzing requirements specification and system design, and evaluate the result of the specification requirements. To illustrate the class modeling, interactions, data, and user interface requirements specification using prototype evaluation and chronological matrix. The evaluation results in this study showed that the grooves were made by two respondents after a test use case scenarios are in accordance with the mechanism should be. Then traceability evaluation results show that each requirement has a unique code that can be traced to the features, needs and the model diagram.
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.
Implementasi Teknologi Websocket dalam Pengembangan Sistem Berbagi Lokasi Berbasis Web Avreghly Barra Al-Ilman; Tri Astoto Kurniawan
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

Location sharing system is a system that allows its users to share their geographic locations to other users. There are at least 80 location sharing service systems now, either in web or native based. The quality of these systems are significantly influenced by their performance that correspond to the selection of the appropriate communication technologies used in communication between client and server. According to the literatures, Websocket technology is the most suitable client-server communication technology for developing a web-based location sharing service system. However, there is no literature which discusses in detail how such technology can be implemented in such system. This research aims to solve such problem by developing a system that utilizes Websocket for client-server interaction to share location. The system was developed in waterfall process model by applying object-oriented development paradigm. The system is built in a client-server construction with Websocket server running on NodeJS runtime environment utilizing the Socket.IO library. The system was tested with three levels of testing: unit testing, integration testing, and system testing. Accuracy test also conducted to check out in what usage condition will the system gave the most accurate location. The white box testing of the unit and integration testing is done using the basis path testing method. The results of this testing indicate that every operation in the system's classes works well. Further, the black-box testing's results of the system testing indicate that all system's requirements have been fulfilled. According to accuracy test, system is recommended to be used in exposure of WiFi connection or GPS access for which both present the best average accuracy value than the other usage condition.

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