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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 Fuzzy K-Nearest Neighbor (FK-NN) Untuk Mengklasifikasi Fungsi Senyawa Berdasarkan Simplified Molecular Input Line Entry System (SMILES) Raden Rizky Widdie Tigusti; Dian Eka Ratnawati; Syaiful Anam
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The active compound is a chemical compound that has many functions. One of the functions of the active compound is as a medicine. Active compounds have special characteristics that determine function as a drug. To obtain a characteristic value on the active compound SMILES notation are used as input system. SMILES notation is a modern chemical notation that can be stored on string variables to use for the process of computing. To obtain the characteristic on the compound the SMILES notation will be divided into 12 features consisting of B, C, N, O, P, S, F, Cl, Br, I, OH and the length from SMILES notation. The value of each feature is obtained from the preprocessing process against the SMILES notation made at the beginning of the classification process.In the process of classifying the function of active compounds, the Fuzzy K-Nearest Neighbor method are used because it can do process by using large amounts of data. The Fuzzy K-Nearest Neighbor method is a combination of two methods namely Fuzzy and K-Nearest Neighbor. An important step of the classification process using the Fuzzy K-Nearest Neighbor is to calculate the distance from each test data to the train data or so-called by euclidean distance, pick value as much as k value and calculate the fuzzy. Tests in this study using the dataset as much as 631 and divided into 2 as the data train and test data. Each composition of data training and data testing are 80% (503 data) and 20% (128 data). The result of the accuracy is 71% with the value of k = 15, in other test by using k-fold cross validation the biggest accuracy is 77%.
Evaluasi Kesuksesan Implementasi Sistem Open Public Access Catalog Dengan Delone and Mclean Model Pada Perpustakaan Universitas Brawijaya Alpia Pentidari; Aditya Rachmadi; Admaja Dwi Herlambang
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

Open Public Access Catalog (OPAC) is one of the systems used and utilized by the library of Brawijaya University to provide information related to the availability and collection of books owned by the library. The purpose of this study was to determine the success of the implementation of the Open Public Access Catalog (OPAC) system in the library of Brawijaya University using Delone and Mclean Model. Delone and Mclean Model consists of six variables, namely system quality, information quality, service quality, use, user satisfaction and net benefits. The population in this study was obtained from the number of active students of Brawijaya University as users of the OPAC system of 57.975 people. The data obtained from this study were obtained from questionnaires and by using the stratified purposive sampling technique, then obtained a sample of 113 respondents. The results obtained in this study are in the condition of each variable in the Delone and Mclean Model. system quality, use, user satisfaction and net benefits are in the high category while information quality and service quality variables are in the high enough category. From the results obtained, it is necessary to prioritize improvements in the indicators possessed by the Delone and Mclean Model variables with an average percentage of each indicator that is below the average percentage of the overall indicator.
Pengembangan Sistem Informasi Purchasing Order Berbasis Web pada PT. Karya Teknik Mandiri Muhammad Agusalim Hariadi; Retno Indah Rokhmawati; Agi Putra Kharisma
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

According to the interviews with the director of PT. Karya Teknik Mandiri, it is concluded that PT. Karya Teknik Mandiri has problems in the business process of purchasing order. These problems are, frequent mismatches between mailing letters with customer purchasing orders, broken or lost purchasing order customers, and the difficult of customer communication with the company in discussing the purchase. Therefore, given a solution by replacing the current business process conditions into the proposed business process with the application of information systems equipped with service automation features for business process purchasing order PT. Karya Teknik Mandiri. System development method using Prototype method and Operational CRM approach of Service Automation module. System test is done with Validation Testing and User Acceptance Testing, with test result has 100% valid value and acceptance value "Very Good" from system user. Based on these results, it can be concluded that the "Purchasing Order Information System" as a problem solving on the business process purchasing order PT. Karya Teknik Mandiri, has succeeded in becoming solution of the problem and acceptable by the user.
Klasifikasi Keminatan Menggunakan Algoritme Extreme Learning Machine dan Particle Swarm Optimization untuk Seleksi Fitur (Studi Kasus: Program Studi Teknik Informatika FILKOM UB) Nur Afifah Sugianto; Imam Cholissodin; Agus Wahyu Widodo
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

Majoring program in Informatics Engineering Program Faculty of Computer Science (FILKOM) Brawijaya University is a stabilization program for the profile of graduates of Informatics Engineering students so that each student has a special ability in accordance with the profile of graduates to be achieved. To be able to help the student in selecting the major program then a smart system is needed to determine the major program of each student that accordance with the interests and abilities of students. One methods of classification that can be used is Extreme Learning Machine (ELM) algorithm. However, the method does not have the ability to select features so it needs to be combined with Particle Swarm Optimization algorithm that can be used to perform feature selection automatically and optimally. This research uses 90 data of student study result with 25 features and 3 classes. Based on the research that has been done, the optimal parameters are the number of nodes in the hidden node is 20, the comparison of training data and testing data is 80%:20% (72 training data and 18 testing data), the number of particles is 120, the maximum iteration is 600 and the weight of inertia is 1. From these parameters, the system accuracy using ELM&PSO algorithm is 94.44% with 11 selected features. While the accuracy obtained from the ordinary ELM algorithm is only 66.67%. from the results of accuracy obtained, shows that the addition of PSO algorithm on ELM can improve the accuracy of common ELM algorithm.
Sistem Diagnosis Penyakit Tanaman Melon Menggunakan Metode Dempster-Shafer Dwi Prasetyo; Nurul Hidayat; Tri Afirianto
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

Melon plant is a kind of plant that potentially attacked by plant disease. The lack of farmer knowledge in this field for controlling and maintaining the disease can affect the melon fruit productivity and contribute to plant damage. Therefore, the melon production would not achieve the expected target. In addition, another important problem is the higher number of symptom which resulted in difficulties to diagnose the melon plant disease. Basically, the farmer could discuss with the expert in plant pathologist field to control and try to solve this problem. However, this solution still has some limitation. It caused by restriction of the number of expert, long distance away, and it will take more longer time to analyze. The result show that, a system which was developed by using Dempster-Shafer method based on 24 data of melon plant symptom has reached success rate 87,5%. This value was obtained from 21 of 24 experiment data and it assumed as correct data. It was occurred because data that obtained was significantly different from the other data. It could be occurred because of the symptom density have similar weight in different types of disease.
Pengembangan Sistem Aplikasi Pelaporan Masyarakat Berbasis Web di Kabupaten Pekalongan Richa Amalia Permatasari; Bayu Priyambadha; Achmad Arwan
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

Public information disclosure is a manifestation of democratization in the management of governance that allows public participation in realizing good governance. In the Office of Communications and Informatics (Kominfo) of Pekalongan Regency, it is done by providing a media that accommodates reports of problems from the citizens in an online form which can be accessed through the website of the Government of Pekalongan Regency. However, the problem is the process of distributing reports to Local Government Agency (OPD) is done manually, so that the delivery and response time tend to be slow, and the citizens do not know the follow-up of the problem conveyed. In addition, there is no assessment of the speed of OPD in answering reports that can be used as a benchmark of the OPD in providing excellent service to the citizens. To solve the problem, the author developed a web-based reporting system to report a problem where people can connect with the OPD correlated with the problem and display performance assessments for each OPD based on the speed of their response to reports submitted by the citizens. The author used waterfall model in developing the software. Based on the testing performed, the unit testing, integration testing, and validation testing result 100% valid in all test cases. And the compatibility testing shows that the system can run well on 86.67% of 13 browser versions.
Pengembangan Sistem Informasi Manajemen Akademik Sekolah Dasar Untuk Pendaftaran Dan Pendataan Ulang Siswa (Studi Kasus Pada Sekolah Dasar Negeri Dinoyo 1 Malang) Nyoman Puja Satria Wibawa; Ismiarta Aknuranda; Satrio Agung Wicaksono
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

Dinoyo 1 Elementary School is one of the primary education institutions in Malang city. The school has passed 8 National Standards of Education and has accreditation A. In the process of registering new students it is still done manually, causing problems in managing registration data. Student data is the official identity of each student, every semester in Dinoyo 1 Elementary School conducts the process of recollecting of the student's data that also done manually which causes the school experiencing difficulties in managing the student's data. It is necessary to have an information system that can handle these problems. In developing the information system, it is done using Waterfall model and implemented as a website. At the requirements analysis stage, 44 functional requirements and 1 nonfunctional requirement are obtained. The implementation is done using CodeIgniter framework with the Model-View-Controller pattern. Afterward, several functions are tested using validation testing. The results are all valid. Testing is also done using compatibility testing. The result shows that the system runs with Critical Issues on Firefox browser version 63 and Chrome version 70, then there are major issues if the site is accessed via Internet Explorer version 11 and Android version 4 browsers or earlier.
Implementasi Metode Naive Bayes pada Sistem Stop Kontak untuk Klasifikasi Perangkat Elektronik dalam Kamar Shelsa Faiqotul Himmah; Dahnial Syauqy; Mochammad Hannats Hanafi Ichsan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

An electric socket is a tool that becomes one of the basic needs of each individual. Serves as in-between of power source with an electronic socket device has not changed in terms of function or appearance. Along with the development of electronic devices or so-called smart devices, electric socket is does not get special attention in the development of functions. Therefore we made a breakthrough on the function of the electric socket to make a classification on electronic devices embedded in the electric socket. Because of the many types of electronic devices available then the use of electronic devices is limited only to electronic devices in the room that is; hairdryer, phone charger, laptop charger, iron, and fan. The process of making a classification system using current sensor YHDC SCT-013-020 as a current reader. Then the current value will be processed by NodeMCU v1.0 and naive bayes as the method used to classify. Classification data will be stored on cloud storage that can be accessed through android smartphone. The experiment was done by making 3 combinations of 5 electronic devices so there are 10 combinations. Based on the test obtained percentage of 83.33% of the system can classify the device that is in use and requires an average time for 206340.6 ms to perform data acquisition and average time for 6.3 ms to do classification.
Optimasi Menu Makanan Atlet Berdasarkan Jadwal Latihan Menggunakan Algoritme Genetika Muhammad Dimas Setiawan Sanapiah; Budi Darma Setiawan; Agus Wahyu Widodo
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

This research aims to solve the problem in doing food menu optimization in athletes. Where this is based on the statement of Ministry of Health that to improve the performance of Indonesian athletes in the future, it is necessary to improve and perfect the system of training and development of sports, especially in approaching and applying Science and Technology including the fulfillment of nutrition athletes. One form of development of science and technology is the genetic algorithm, where this algorithm can solve a problem related to optimization with a large search space. In the preparation of chromosomes to be used genetic algorithm using the representation of integer numbers, with crossover method used is one cut point crossover, and mutation method used is random mutation and selection process used elitism selection process. The recommendation results is the food menu for athletes for five days. While the genetic algorithm parameters in this research obtained optimal generation size of 450, the optimal population size of 70, and the combination of cr and mr optimal value is 0,5 and 0,5.
Implementasi Hardware Redundancy Pada Sistem Akuisisi Data Sensor Dengan Menggunakan Metode Hot Standby Sparing Arie Prayogo Pangestu; Sabriansyah Rizqika Akbar; Primantara Hari Trisnawan
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

Currently there are many products to monitor an object from various vendor service system providers that are used. The intended product is a group of sensors with interconnected microcontrollers to provide information of what the sensors capture an object condition, one of which is used for monitoring water conditions. When the water in the ponds is turbid, dirty, the water temperature increased and the salt content is irregular it will affect the quality of the fishpond. Sometimes some sensors on the monitoring system can be damaged, due to factors from within and from outside. Therefore, a system that is able to redundancy the main system in case of error. In this study there are three sensors namely temperature sensor, turbidity and salinity sensors in each master module and slave and using Hot Standdby Sparing method. This method is a way of completion so that the module that will be used as slave module remain alive or in idle condition even though it goes into sleep condition and ready to replace master module when there is system error. From the test results, the master module and slave module can work properly. The slave module can redundate the master module when there is an error on the sensor as well as the power failure of the master module, and the system can avoid race conditions between master and slave modules when first turned on.

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