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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 Fuzzy Time Series Dengan Algoritme Genetika Untuk Meramalkan Jumlah Pengangguran di Jawa Timur Radifah Radifah; Budi Darma Setiawan; Rendi Cahya Wihandika
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

Unemployment becomes one of the important points that are occurred in Indonesia. High unemployment rate has an impact on the economic and poverty levels of Indonesians especially in East Java. The increase number of unemployment can reduce the income and productivity of society. Several factors that are causing the increase of unemployment make the government difficult to overcome the numbers of unemployment annually that experience ups and downs. So, by predicting the number of unemployment in East Java, it can facilitate the government in overcoming the unemployment rate and expanding the workforce especially in East Java. The method that is used in this study is Fuzzy Time Series that use Genetic Algorithm. The best genetic algorithm parameter values are by testing to the genetic algorithm parameters and producing the best average fitness value. The result of genetic algorithm parameter test are with the population size of 525, the combination of crossover rate and mutation rate of 0,8 and 0,2 and at generation of 1200 which reaches the most optimal average fitness value is 13,840314614 with Root Mean Square Error(RMSE) value equal to 0,0722526928.
Analisis Perbandingan Penetration Testing Tool Untuk Aplikasi Web Bhaskara Vito Tarigan; Ari Kusyanti; Widhi Yahya
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 3 (2017): Maret 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Penetration testing is a series of activities undertaken to identify and exploit security vulnerabilities. This helps confirm the effectiveness or ineffectiveness of security measures that have been implemented. This paper discusses the methodology in conducting penetration tests with a third tool penetration test is w3af, wapiti, and arachni. Penetration testing methodology includes three phases: test preparation, test and analysis test. Pilot phase involves the following steps: vulnerability analysis, information collection and analysis tool. This paper portrait is more to mengananlisa comparison tool that determines the penetration test and find out attacks anywhere that can be detected from the three tools that have been tested on existing vulnerabilities in web applications.
Implementasi Metode Binary Decision Tree Support Vector Machine (BDTSVM) untuk Klasifikasi Penyakit Gigi dan Mulut (Studi Kasus: Puskesmas Dinoyo Malang) Nindy Deka Nivani; Muhammad Tanzil Furqon; Randy Cahya Wihandika
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

Teeth and mouth are gates for entry of germs and bacteria that can interfere with health. Complaints against dental and mouth disease are mostly complained by most people in Indonesia, this is corroborated by the fact obtained data from PDGI (Persatuan Dokter Gigi Indonesia) which states that 87% of the people of Indonesia suffer from toothache and among them do not check his teeth to the doctor . Seeing this dentist has an important role in determining the right classification of dental and oral diseases so that patients can immediately treat the disease that is suffering. This research implements the method of Binary Decision Tree Support Vector Machine (BDTSVM) to help classify dental and oral diseases. The Binary Decision Tree method is used to construct binary trees in order to separate classes into two groups, positive and negative. While the Support Vector Machine method is used for the classification process. In this study used 4 kinds of testing that is the test of maximum iteration, lambda parameters, gamma parameters, and complexity parameters. The results obtained from this research is the classification of dental and mouth disease with 6 classes of diseases. Based on the results of the tests that have been done, the average accuracy of 94.28% using the parameter values lambda = 0.5, parameter complexity = 0.1, parameter gamma = 0.01 and maximum iteration = 5
Optimasi Penentuan Rute Terpendek Pengambilan Sampah Menggunakan Multi Travelling Salesman Problem Ryan Mahaputra Krishnanda; Budi Darma Setiawan; Marji Marji
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

Garbage is an unending environmental problem and this issue needs to be considered and handled together. According to data of 2015 from the Satuan Kerja Perangkat Daerah (SKPD) or Regional Device Work Unit of Denpasar, the annual garbage production in Denpasar is 1,335,819.48 m3. In the same year, the volume of garbage transport from the Department of Hygiene and Gardening or also known as Dinas Kebersihan dan Pertamanan (DKP) reached 1,065,016 m3 or realized 79.73% and shows the DKP transport fleet Denpasar can not touch the 80% target. This study will determine the optimal route for some garbage transport vehicles from the DKP office to the dump points and end up in the landfill. This happens because of the problem from Multi Traveling Salesman Problem (m-TSP) and one of the algorithms to solve m-TSP problems is with genetic algorithm. The process of this genetic algorithm uses permutation representation, crossover reproduction process with one-cut point, mutation process with exchange mutation, and selection process with elitism selection. After conducting the experiment, the most optimal parameter is obtained in population with the amount of 100, with the number of garbage transport vehicles as much as 4, the value of cr = 0.3, mr = 0.7 and the generation of 900. The results of the program with the parameters will yield 0.569 as maximum average of fitness value.
Optimasi Pembagian Barang Alat Tulis Kantor Menggunakan Algoritme Genetika Ardiansyah Setiajati; Imam Cholissodin; Agus Wahyu Widodo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 3 (2018): Maret 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Nowadays almost all companies need technology in helping business activities. Therefore information technology can help the company's activities in achieving its goals effectively and efficiently. Office stationery is one of the important supporting tools in running the operational functions of a company. Currently, office stationery management system in some companies or agencies are still done manually, so there is still often error information. Genetic algorithm is a population-based algorithm that can solve problems related to optimization with a very wide search space. Genetic algorithms can solve problems by providing a set of solutions and finding the most optimal solution. The chromosome representation consists of 801 genes comprising the sum of each item that each position can take. The optimal solution result is obtained on the test which is done 10 times using parameter that is the number of generation 2250, cr value 0,1, mr value 0,9, and population size 100, with fitness value equal to 7,288. However, there are still violations which is the number of some items that exceed the stock. Therefore, the solution is still not optimal.
Sistem Pakar Diagnosis Penyakit Demam: DBD, Malaria dan Tifoid Menggunakan Metode K-Nearest Neighbor - Certainty Factor Elsa Nuramilus Shofia; Rekyan Regasari Mardi Putri; Achmad Arwan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 5 (2017): Mei 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Fever is one of the health problems that disrupt everyone's productivity, even it can cause death and remain a health problem in Indonesia. There are several types of fever that needs to be wary, it includes dengue, malaria and typhoid. These three diseases have similar symptoms, so many medical personnel and doctors internship often make mistakes in diagnosing the disease. Therefore, an expert system is required to resolve the issue. The method used to support the expert system is K-Nearest Neighbor - Certainty Factor which is a merger of two methods in which the classification results of K-Nearest Neighbor to be rated certainty by a Certainty Factor method and resulting a diagnosis of the disease. In this study, the training data and test data used were 143 data. Based on test results obtained K value variation accuracy of 88.37%. On testing variations training data obtained an accuracy of 86.04%. In testing the ratio of training data and test data obtained an accuracy of 95%. In testing the variation of the number of test data obtained an accuracy of 90%. In testing the variety of test data obtained an average accuracy of 97.22%. In comparison testing method, the method k-nearest neighbor certainty factor gets an accuracy of 84.79%.
Implementasi Procedural Generation untuk Membangun Level Tactical RPG dengan menggunakan Metode Occupancy Regulated Extension Anindita Setyamurti; Wibisono Sukmo Wardhono; Tri Afirianto
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

Tactical RPG is a game where player controlling some unit tactically to complete goals in the level.There many game with this kind of genre, unfortunately only a few of them used Procedural Content Geneator (PCG) to generate content procedurally which used to increase replayability value and indirectly increase game lifespan. PCG on Tactical RPG games can be used to generate level, quest even a character. Level generation can be done using Occupancy Regulated Extension (ORE) method which putting some chunk together to create a complete level which can be measured how good the generated level using linearity expressiveness range. According to test, 93% of all generated level having high marginal values. In short, generating level using occupancy regulated extension will be resulted in pretty good level.
Otomasi Kandang Dalam Rangka Meminimalisir Heat Stress Pada Ayam Broiler Dengan Metode Naive Bayes Chandra Gusti Nanda Putra; Rizal Maulana; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 1 (2018): Januari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The temperature rise exceeds the comfort zone resulting in heat sress in chickens, where broiler chickens will experience a decline in growth, decreased feeding, anxiety, increased water consumption and resulted in death. Broiler chicken comfort zone temperature ranges between 20-25 ° C and humidity range 50-70%, whereas the problems of current temperature fluctuating between indonesia's 29-36 ° C. Based on the issue of his automation system to minimize heat stress. This research uses 2 parameters, namely the temperature and moisture sensor readings from the DHT11 as the input and output speed fan and close the curtains open on the system. To specify output fan and curtain using a calculation method klasfikasi method of naive bayes. It can be concluded that the system is able to minimize heat stress with testing done for 2 weeks using the 600 broiler chickens where the death of a chicken before using the automation system that is amounted to 64 and after using the automation system is 31 tail.
Sistem Rekomendasi Bahan Makanan Bagi Penderita Penyakit Jantung Menggunakan Algoritma Genetika Elisa Julie Irianti Siahaan; 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

Lack of public awareness in regulating the consumption of food based on nutrition can cause several diseases including heart disease. Heart disease is caused from blockage of cholesterol and fat in the coronary artery. It is very important for people with heart disease to regulate food intake in order to reduce the blockage. Managing the food for the heart diet is difficult because heart diet is different from the other diets, because the amount of protein and fat is reduced. Genetic algorithms can solve the problem of managing food by computation process. The data that are used in this research are diet food ingredients data that consist of 8 kinds of food ingredients, carbohydrate, animal protein, vegetable protein, vegetable, fruit, milk, sugar and oil. In converting food into chromosome, chromosome real code representation is used. The crossover method that is used is extended intermediate crossover, the mutation method that is used is random mutation and the selection method is elitism selection. From the results of the testing, the optimal parameter scores of the genetic algorithm are the population number of 280 with the average fitness score of 103.7, Cr and Mr scores are 0.5 and 0.5 with the average fitness score of 103.3 and for the generations score is 100 with average fitness score of 111.2. Output of the system is food ingredients recommendation with 5 times a day meal time, which consists of breakfast, snack, lunch, snack and dinner with number of days based on user choice.
Rancang Bangun Pengendali Pintu Air Sungai Dengan Menggunakan Logika Fuzzy Dan Simple Additive Weighting Prasetya, Adven Edo; Hanafi, Mochammad Hannats; Prasetio, Barlian Henryranu
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 6 (2018)
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Banjir menjadi permasalahan yang sampai saat ini masih belum dapat diselesaikan. Permasalahan banjir hampir selalu terjadi di beberapa daerah di Indonesia, khususnya pada saat musim hujan. Apabila hujan turun dengan curah hujan tinggi, dan sungai tidak dapat menampung curah hujan tersebut, maka akan terjadi banjir. Untuk mengatur dan menjaga debit air sungai agar tidak meluap dan menyebabkan banjir, pada aliran sungai digunakan pintu air. Pada penelitian ini penulis akan melakukan perancangan sistem pengendali pintu air dengan menggunakan logika Fuzzy dan Simple Additive Weighting. Logika Fuzzy pada penelitian ini akan digunakan untuk menentukan besaran pembukaan pintu air yang didasarkan pada data ketinggian permukaan air yang didapatkan dari hasil akuisisi sensor water level, dan data curah hujan, yang didapatkan dari hasil akuisisi sensor rain module. Sebagai actuator untuk menggerakkan pintu air digunakan motor servo. Data hasil akuisisi sensor akan dikirimkan ke Arduino Mega 2650, kemudian pada mikrokontroler tersebut, dilakukan proses perhitungan Logika Fuzzy dan metode Simple Additive Weighting. Secara keseluruhan perhitungan logika Fuzzy pada Sungai Utama dan seluruh Anak Sungai memiliki persentase error sebesar 0,09875%, sedangkan pada perhitungan metode SAW yang digunakan untuk menentukan anak sungai yang menjadi alternatif terbaik, tidak terdapat perbedaan antara perhitungan manual dan perhitungan yang dilakukan oleh sistem.

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