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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 201 Documents
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Search results for , issue "Vol 2 No 12 (2018): Desember 2018" : 201 Documents clear
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.
Prediksi Nilai Harga Patokan Batu Bara (HPB) Untuk Merek Dagang Gunung Bayan I dengan Metode Extreme Learning Machine (ELM) Evilia Nur Harsanti; Muhammad Tanzil Furqon; Putra Pandu Adikara
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 fossil fuel that is often used by industrial companies as a source of energy and power as a raw material for steelmaking. Coal is obtained by industrial companies through a sale and purchase transactions conducted with coal mining companies. Price is a major factor in the transaction process, because industrial companies need to design an expenditure budget every month before making a transaction. Budget design is done to maximize the company's money to meet all the needs of the company. Therefore, the prediction of coal price will be very beneficial for industrial companies that will buy coal products to know the estimated price in the future. The method used to make the prediction process is the method of Extreme Learning Machine (ELM). ELM has the advantage of fast computing time and small error rate, so ELM does not require a long time in the learning process. Based on the result of research, the best Means Absolute Percentage Error (MAPE) score is 3,926804% for training process and 7,360343% for testing process.
Prediksi Kredit Macet Berdasarkan Preferensi Nasabah Menggunakan Metode Klasifikasi C4.5 pada Koperasi Simpan Pinjam Mitra Raya Wates Iqbal Taufiq Ahmad Nur; Nanang Yudi Setiawan; Fitra Abdurrachman 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

Bad credit is the main problem that faced by financial institutions, especially cooperatives in Indonesia. This problem is also happened in KSP Mitra Raya Wates that does not use credit analyst and the decision making process is using an intuitive approach and based on existing experience that owned by KSP Leader. The survey process conducted at KSP Mitra Raya Wates also cannot guarantee that the loans made by customers are free from credit risk, considering there are customers who have bad credit from a total of all customers who have received loans. KSP Mitra Raya Wates needs a system that capable of supporting decision to detect credit quality early on. C4.5 method can be used to predict customers' credit quality by generating rule in form of decision tree. The results of confusion matrix have accuracy of 94.5946. While based on the ROC curve, it generated AUC value of 0.9689. The level of usability generated by utilizing SUS is 82.5. The output is dashboard visualization with several graphs containing the percentage, time-series and trend of total submissions that have been made and also forms that can be used by KSP Mitra Raya Wates to make predictions of customer credit application and also dataset entry into the system.
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.
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.
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.
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.
Penerapan Metode Learning Vector Quantization (LVQ) untuk Klasifikasi Fungsi Senyawa Aktif Menggunakan Notasi Simplified Molecular Input Line System (SMILES) Suhhy Ramzini; 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

Active compound is a substance (medicine) capable of providing kind effect when the human bodies are in bad shape. Active compound often used for preventing or curing a disease. Active compound takes an important role in medical world. Simplified Molecular Input Line System notation, in short SMILES notation is representation of compound (carbon bond) created by David Weininger in 1980. SMILES notation composed of ASCII (American Standard Code for Information Interchange) characters so that it can be stored in string variable and easily processed by the computer. Currently, there are numbers of compounds (SMILES notation) and it makes the classification for tested compound that can be made into a medicine (active compound) becomes necessary. The purpose of this research is to classify the active compound function utilizing SMILES notation with Learning Vector Quantization (LVQ) method by using 2 active compound function classes, one for metabolic disease, and another for cancer disease. There are 467 datasets with each 11 features. On testing process, the obtained value for learning rate is 0.1, decrement alpha is 0.3, minimum alpha is , and maximum epoch is 15 by using a percentage of 80% training data and 20% testing data which produce accuracy of 76.34%.

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