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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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Sistem Deteksi Lama Waktu Penyimpanan Daging Ayam Berdasarkan Warna Dan Kadar Amonia Berbasis Sensor TCS3200 dan MQ135 Dengan Metode Jaringan Syaraf Tiruan M. Adib Fauzi Rahmana; Dahnial Syauqy; Tibyani Tibyani
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

The length of time for storing chicken meat is the important factor that is related to the freshness and quality of chicken meat whether or not the meat is suitable for consumption. It is very important in determining the feasibility of chicken meat for consumption. In this research, it is designed a system that can be used fastly, accurately, and non-destructive. This system is implemented into an Arduino microcontroller by using gas sensors and color sensors as a measurement tool for determining chicken meat based on length of time storage. The process of inputting data is gained by data acquisition with two sensors, there are MQ135 gas sensor and TCS3200 color sensor which is able to read parameters in the form of ammonia levels and RGB colors. For the classification process, supervised learning algorithms are used from artificial neural networks that are able to recognize and group data based on predetermined targets at the beginning. There are 3 types of chicken meat based on the length of time storage. First, meat of chicken that are only slaughtered up to 12 hours long storage time. Second, it is stored longer than 12 hours up to 24 hours.The last, it has been stored for more than 24 hours. This research gave accuracy system of 86.7% in deciding time of period chicken meat time storage, by average computational time needed for 3.2 seconds.
Pembangunan Aplikasi Honda Care sebagai Sistem Perawatan Sepeda Motor menggunakan Metode Prototyping (Studi Kasus pada AHASS di Kota Malang) Wisnu Galih Pradita; Adam Hendra Brata; Mahardeka Tri Ananta
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

Engine oil is the most vital element in motorcycle maintenance. Due to ignorance about the time of engine oil change can cause engine performance to decrease even turn off the engine flame. In addition, the maintenance of motorcycles is less understood by some motorcycle owners in Malang with a percentage of 64.4%. As many as 68.6% admitted if the motorcycle has branded Honda. This data is obtained by the author with the questionnaire technique through google form. With these problems, the author conducted research on the development of software Honda Care as a motorcycle maintenance application using prototyping method with case studies on AHASS in Malang. In the process, done as much as 2 times iteration. This research will produce mobile applications connected to embedded systems in the form of vertical water buoy sensor and NodeMCU. Applications are tested to Motorcycle Owners by testing user acceptance. The test result is 86.3% for software engineering aspect, 89.7% for aspect of functionality and 88.6% for visual communication aspect. The results indicate excellent acceptance from Users and will serve as reference as evidence that the Honda Care application has been completed and is acceptable to Users.
Implementasi Metode Learning Vector Quantization Untuk Klasifikasi Penyakit Demam Nurhidayati Desiani; Lailil Muflikhah; Candra Dewi
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

Fever is an early symptom of various diseases that have been experienced by almost everyone. Some of the diseases include typhoid fever, malarial fever and dengue fever. These three diseases have similar early symptoms. Similar symptoms of each disease often cause difficulty in obtaining anamnese (temporary diagnosis) so that patients get the initial handling is less precise and further worsen the condition of the patient. To overcome this required a system that can facilitate in identifying the disease based on the symptoms felt by the patient. In this study using Learning Vector Quantization method which is a method of classification. The system works with the training and testing phases that will result in classes of typhoid fever classes, malarial fever and dengue fever. The parameters used are 15 parameters of symptoms of febrile illness. The best average accuracy result is 100% using comparison of test data and training data of 10:90, learning rate 0,1, learning rate reduction constant 0,1, minimum learning rate 10-5, and maximum number of iteration 10.
Prediksi Produktivitas Padi Menggunakan Jaringan Syaraf Tiruan Backpropagation Gandhi Ramadhona; Budi Darma Setiawan; Fitra A. Bachtiar
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

Rice is very important for human beings, especially to the ASEAN community. Indonesia is one of the ASEAN countries that cultivate rice. In 2015, Indonesia ranked as the third-highest in terms of the world's largest rice producer. However, Indonesia still have to import rice every year due to its high demand and to fulfil Indonesian's per-capita consumption. The other reason is the different amount of harvest on each areas resulting in a scarcity of rice because the country can not be able to optimize the farming techniques that are used. This research use the methods of backpropagation neural network to predict the results of the rice productivity. In its implementation, the data is normalized using the min - max normalization and weighting initialization using Nguyen - Widrow. Based on the results of testing the parameters for the method of backpropagation, shows the most minimum RMSE i.e. 8.6918 with parameter values learning rate = 0.8, hidden layer neurons, hidden = 3 = 4 with the number of epoch 10000 against 135 training and 13 test data. Based on result of 5 fold cross validation against the stability testing data gets an average RMSE of 8.2126.
Klasifikasi Sinyal Otak Motor Imagery Menggunakan Extreme Learning Machine Dan Discrete Fourier Transform Fransiskus Cahyadi Putra Pranoto; Agus Wahyu Widodo; Muhammad Arif Rahman
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 3 (2019): Maret 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The brain is the most important body organ that humans have to act as a process for all movements and thoughts in the human body. The brain emits a signal when doing an activity and can be captured by an interface device called brain computer interfaces. To stimulate brain signal activity a stimulus is used, namely an imagery motor. Imagery motors are representations of motor movements imagined by the brain. In this study using 3 datasets namely datasets that have been collected by researchers with muse devices with subjects numbering 20 and having an age range of 19-23 years, the second and third datasets are BCI Competition IIIA and IIIB which are publicly available at bbci.de. The BCI Competition IIIA and IIIB datasets will be used to compare the quality of the datasets collected by the researchers. Signal processing uses the Butterworth Filter Infinite Impulse Response method with a frequency range of 8 to 30 Hz. In this study a study was conducted on the implementation of feature extraction methods with the help of the Discrete Fourier Transform method and the classification of brain signals using the Extreme Learning Machine method that uses imagery motor stimuli. The results obtained were 44% accuracy for 5 classes, 85% and 90% for 2 classes using Muse datasets, 66.67% and 75% 4 classes using BCI Competition IIIA datasets and 93.33% 2 classes using BCI Competition IIIB datasets.
Pengembangan Sistem Informasi Pelayanan Surat Keterangan Studi Kasus: Pemerintah Desa Legundi Kecamatan Karangjati Kabupaten Ngawi Tio Renndy Winarna; Ismiarta Aknuranda; Mochamad Chandra Saputra
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

Legundi village is located in Kecamatan Karangjati Kabupaten Ngawi East Java. In Legundi government case, public service such as Certificate document administration is still has a lot of troubles and to apply for a Certificate document the applicant must come to the village office. To finish the problem is needed an instrument information system that resolve the certificate and others documents. This research done to know the development of Sistem Informasi Pelayanan Surat Keterangan can be run. To solve the problem it has to do the business process modeling, requirements analysis, design and implementation of information service system certificate by applying an object-oriented approach. After that the implementation of the system will be tested to find does the system can run as the requirements that have been identified. Business process modeling activities produce the As-Is business process model and To-Be business process model, the requirements analysis yields identification of system requirements, as well as visualization of system capabilities in use case diagrams. The result of system design constitutes the documentation of object interaction model into sequence diagram, object model in class diagram, database design, interface design and pseudocode. The result of the implementation constitutes a web-based of Sistem Informasi Pelayanan Surat Keterangan tested and shows the results that the system can run in accordance with the requirement that has been identified previously.
Implementasi Metode Backpropagation untuk Prediksi Harga Batu Bara Miracle Fachrunnisa Almas; Budi Darma Setiawan; Sutrisno Sutrisno
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

Coal is a natural resource that belongs to one of the fossil fuels. Indonesia is one of the countries with the largest quantity of coal production and export in the world. Coal becomes an important component in the running of a large-scale industrial company as an industrial fuel. Predicted coal prices are needed because coal prices released by the government usually takes a long time. Coal price data is in the form of time series. The data used is coal price data starting from January 2009 to September 2017 with trademark of Gunung Bayan I. This research discusses Backpropagation method that is used to predict the coal price. In this research, the effect of change parameter value from Backpropagation in predicting coal price it can be seen. Output generated by the system is in the form of predicted coal price in the next month. The results of the tests are, the lowest MSE (Mean Square Error) value of 0,00205284 with a combination of 10 neurons on the input layer, 10 neurons in the hidden layer, 1 neuron produced as output, learning rate of 0.1 and the number of iterations of 500.
Optimasi Jumlah Produksi Metal Roof Menggunakan Algoritme Genetika (Studi Kasus: PT. Comtech Metalindo Terpadu) Febri Ramadhani; Budi Darma Setiawan; Candra Dewi
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

Manufacturing industry in Indonesia continues to increase, especially in the molding industry. PT. Comtech Metalindo Terpadu is one of molded goods industry company located in Pekanbaru City. The company is an industrial company that produces metal roof. The metal roof is printed using Prepainted Galvalum (PPGL) raw material or more commonly referred to as coil, the raw material is imported from other countries. The ordering of raw materials takes 2 months until the raw material arrives. There are 3 types of metal roof products sold are spandek, zigzag and zigzag charcoal. All three items have the composition of raw materials, as well as providing benefits that are different. Setting the right amount of production is the thing that must be taken into account by the owner of the company in order to obtain optimal benefits. Based on these problems to get the right amount of production on the use of the remaining raw materials, it is necessary to optimize the number of metal roof production based on the existing demand and the remaining stock of raw materials. Optimization is used to regulate the amount of existing production so that the remaining raw materials can be used optimally and provide optimal benefits as well. Genetic Algorithms are used to optimize the 3 genes that represent each product. The value of the gene represents the original value of the existing query with the integer type. In the reproduction, the crossover method that used is the extended intermediate crossover. Whereas the mutation is performed by reviving the gene values of a randomly selected chromosome. For the selection process used elitism selection to screen the best individual and used random injection method to prevent early convergence. Based on testing of parameters that have been done with 5 times each parameter is got the best population size 90, the combination of cr = 0.1 and mr = 0.9, and total of best generation equal to 225 with average fitness value 7.12126.
Pembangunan Sistem Pengelolaan Soal (Studi Kasus: Fakultas Ilmu Komputer Universitas Brawijaya) Abul A'la Alghifari; Bayu Priyambadha; Fajar Pradana
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

Questions management is important process to be carried out in teaching and learning process, questions management is carried out by teacher, and with good questions management the teacher will be able to maintain the quality of the questions. At the Faculty of Computer Science Brawijaya University, questions management is carried out by lecturer team or commonly reffered to as team teaching. At present, the implementation of questions management that has been running has several problems, the first problem is the difficulty of gathering lecturers in one place at a same time. The second problem is the delay from the lecturer to collect the question that have been assigned. The third problem is the difference in the format of collected questions between one lecturer and another lecturer, that making it difficult for the team leader to combile the collected questions. Based on that problems, research was conducted which was intended to build a system that was able to facilitate the assignment distribution between lecturers, provide reminder to the lecturer about the assignment dependents, and facilitate the process of compiling and evaluating questions. This system is expected to be able to overcome existing problems and help improve the work efficiency of lecturers. This system has passed unit testing using whitebox testing, integration testing and validation testing using blackbox testing which results in a 100% valid value, and compatibility testing where the results of the system can run on eight different browsers.
Evaluasi Penerapan E-government Di Pemerintah Kota Batu Menggunakan Kerangka Kerja Pemeringkatan E-government Indonesia (PeGI) Ridho Fadhlurrahman; Mochammad Chandra Saputra; Admaja Dwi Herlambang
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 development of e-government is one form of government efforts to create an open, clean and accountable bureaucracy by utilizing information technology. Commitment on e-government development is stated in Presidential Instruction No. 3 of 2003 on National Policy and Strategy of E-government Development. As part of government agencies in Indonesia, Batu City Government began implementing e-government to maximize the performance of its government. This study aims to assess the application of e-government in the Batu City Government by studying three Batu City Government division, which are Communications and Informatics Service, Regional Development Planning, Research and Development Agency and Agricultural Service. The Assessment was conducted by using the Indonesia e-Government Ranking Framework (PeGI) which focuses on policy dimensions and planning dimensions. The research methodology used is qualitative descriptive by using questionnaire for data collection, interview, and observation. Based on the results, it was found that the implementation of e-government in the policy dimension in Communications and Informatics Service is in the good category, Regional Development Planning, Research and Development Agency is in very less category and the Agricultural Service is in very less category. While in the planning dimension, the Communications and Informatics Service is in the less category, Regional Development Planning, Research and Development Agency is in the less category and the Agricultural Service is in the less category. From the results of the study then prepared recommendations for improvement of e-government services to achieve conditions of implementation with very good category based on the PeGI framework.

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