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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 6,923 Documents
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Pengembangan Sistem Informasi Pengajuan Perbaikan Sarana Prasarana Teknologi Informasi Berbasis Web Studi Kasus Pada RSUD Dr. Saiful Anwar Kota Malang Hanif Rafidi; Satrio Agung Wicaksono; Welly Purnomo
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

RSUD Dr. Saiful Anwar is a local hospital located in the center of Malang. The hospital already using information technology infrastructure for improving service to all unit. When problem occurred to IT infrastructure, there's procedure for repairs submission with ITIKOM unit as the person in charge of IT development. Based on interview, process of repairs submission has problem with monitoring the repairs process from ITIKOM technician, and the submitting process is still done by manually using a form sheet. These problems, can be solved by developing a web-based information system for monitoring the repair process and submitting process. The development for this system using Rational Unified Process (RUP), which has 4 phases inception, elaboration, construction, and transition. This research for development system produces requirement analysis, business modelling, design, implementation and testing. There are 2 type of system testing, validation testing that produces 100% for all system features and user acceptance testing result are 85.53% from all system actors, this concluded system has been well developed and fulfill user requirements.
Studi Penggunaan Energi pada Implementasi Protokol Routing RPL dan LOADng di Wireless Sensor Network Rozali Syahputra; Reza Andria Siregar; Dany Primanita Kartikasari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Wireless Sensor Networks can generally interpret as wireless networks that are distributed using embedded devices equipped with sensor nodes. The sensor node has limited resources that are equivalent to two AA type batteries. Some of the things that spend more energy on WSN are Package Control in the WSN routing. Routing over Low Power and Lossy Network (RPL) is one of the protocols used for routing WSN networks. However, in some cases, it is necessary to use other protocols as an alternative. Light On-demand Ad hoc Distance-vector Routing (LOADng) is the right lightweight protocol for RPL alternative. Both of this protocol then implemented in several topology scenarios and is also on node placement factor, radio transmission distance, and control package for each node affecting the RPL and LOADng protocol's energy consumption. From this study, the results obtained for the Package Control scheme around reducing energy consumption by an average of 19% for the RPL protocol with Imin changes 4 seconds to 8 seconds and then cutting the average energy consumption by 14% for LOADng with changes in Route Hold Time from 5 minutes to 10 minutes.
Penilaian Tingkat Kematangan Proses Pengelolaan Proyek Dalam Project NCX (New Customer Xperience) Menggunakan CMMI - ACQ (Studi Kasus: PT XYZ) Rahmi Maulidya; Suprapto Suprapto; Aditya Rachmadi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

PT XYZ is a company that engaged in network and telecommunication service in Indonesia. PT XYZ requires a CRM solution that is able to support a variety business. To achieve that, PT XYZ made a project called project NCX (New Customer Xperience), which is an acquisition project to replace the old CRM strategy to the new one, This research aims to do an assessment in project NCX by using CMMI (Capability Maturity Model Integration). Using a qualitative method, the assessment run with SCAMPI class C (Standard Appraissal Method for Process Improvement). Assessment is selected at maturity level two which contains of nine process area. Results of maturity level two assessment found that only three area processes were fulfilled and at level two or managed, were measurement and analysis, process and product quality assurance, solicitation and supplier agreement development. From the results of assessment, a gap analysis was conducted to measure the area process gap with assessment target, then make recommendations for the company regarding the weaknesses found in the product development process based on CMMI.
Sistem Diagnosis Penyakit Tanaman Mangga Menggunakan Metode Bayesian Network Asep Ardi Herdiyanto; Nurul Hidayat; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Diagnosis system app for mango disease is an application that aims the farmers community, especially for the mango farmers so that symptoms can be handled early. This system is built based on the problems that occur in the community, namely the difficulty in recognizing pests and diseases of mango plants. Because mango pests and diseases have quite a number of symptoms and there are similarities in symptoms that some diseases have. This is one of the causes of reduced productivity levels of mango plants in Indonesia, recorded from the 2015 Central Bureau of Statistics research that the national harvest decreased by 252 thousand tons with the total number of 2,178 thousand tons in 2015. However, in 2014 there were 2,431 million tons. The Bayesian Network method was chosen in this study because Bayesian Network includes all features in the training data, thus making this method optimal in carrying out the calculation process. This system uses the Android operating system, because Android is quite even and popular in the Indonesian smartphone market until now. The data used in this study were obtained from lecturers at the Faculty of Agriculture, Brawijaya University, Malang. The results of this study indicate that, in testing the accuracy of 32 test data get an accuracy rate of 87.5%.
Evaluasi User Experience Pada Edmodo Dan Google Classroom Menggunakan Technique for User Experience Evaluation in E-Learning (TUXEL) (Studi Pada SMKN 5 Malang) Dini Nurhayati; Hanifah Muslimah Az-Zahra; Admaja Dwi Herlambang
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

This study aims to discuss user experience of Edmodo, Google Classroom, and compare user experience both of them. As well as providing suggestions for using Edmodo or Google Classroom. For this reason, researcher evaluated the user experience using Techniques for User eXperience Evaluation in e-Learning (TUXEL), in which there are three aspects inside, general usability, pedagogical usability, and user experience. The study was held in Vocational High School 5 Malang with 24 respondents. The results of this study on the general usability aspects, Edmodo found 9 problems and Google Classroom 12 problems. In the pedagogical usability aspects, Edmodo found 13 problems, and 15 problems in Google Classroom. On the aspect of user experience, Edmodo identified the following code: (1) supportive; (2) confusing; (3) complicated. As for the Google Classroom, that is the following code: (1) practical; (2) pleasing; (3) does not meet expectations; (4) confusing. The conclusion is, Edmodo is suitable for the learning process that uses full online learning, while Google Classroom is more suitable to be used as supporting / complementary learning.
Implementasi Metode Support Vector Regression (SVR) Dalam Peramalan Penjualan Roti (Studi Kasus: Harum Bakery) Noval Dini Maulana; Budi Darma Setiawan; Candra Dewi
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

Bread is one of the favorite foods of the Indonesian people, the proof is the increasing import of wheat flour. One of the bakery companies that is currently developing is Harum Bakery. Constraints that are often faced by Harum Bakery are customer demand forecasting systems that are still manual and seem to be guessing. The forecasting process give a big impact on the sales process. With the forecasting of bread sales, it is hoped that Harum Bakery can help bakeries in preparing raw materials and everything needed for bread making. Support Vector Regression (SVR) is one method that can be used in forecasting. The data used is data on sales of sweet bread, cake and white bread with time series data types and uses 4 features. In this study the SVR method used to predict the results of the sale resulted in an evaluation value of RMSE for sweet breads is 0.00176, bread cake is 0.00019, and large breads is 0.00010.
Sistem Diagnosis Penyakit Tanaman Kentang Menggunakan Metode K-Nearest Neighbor Syndu Pramanda Galuh Widestra; Nurul Hidayat; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Potato is one of the potential plant to be grown by people. The production and productivity of potato in indonesia decreases each year. Badan Pusat Statistik (BPS) takes a note of the potato production in Indonesia and it is getting reduction of 9.82% from 1.176.304 ton in 2009 to 1.060.805 ton in 2010. The potato productivity also decreases from 16.51 t/ha in 2009 to 15.95 t/ha in 2010. The problem which causes its decreasing productivity is pest attacks and disease, so it needs a system which can help to diagnose it since early time from the pest attacks and the diseases of potato. Method which can be applied to solve the problem in diagnosing the disease as well as doing the prediction is by using K-nearest neighbor (kNN). Based on the functional testing, the disease diagnosis system in potato plants works well according to the design requirements and successfully implemented in the form of a software. In this study, the number of K have little effect on the accuracy, because after being tested, it turns out that the more the k value does not guarantee its accuracy, and vice versa. The K-nearest neighbor method is good for the diagnosis of potato plants because it produces result an average accuracy of 91.785%.
Penerapan Naive Bayes untuk NPC Braking Decision pada Racing Game Steven Willy Sanjaya; Muhammad Aminul Akbar; Tri Afirianto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Racing is a video game genre that is still popular today. Its development processes cannot be separated from the need to have Non-Player Character (NPC) in them. NPCs act as the opponents for the players, and thus the developers are always challenged with the problem of how to make the NPCs smarter than them. One of the problems is related with breaking decision, specifically when the NPCs decided to slow down their speed during races by using brakes. One commonly used method for this type of experiment is the Brake Zone. Although, this method also has its own shortcomings, such as the devs have to manually place the zone themselves in the designated locations for the brake test. Other solution that can be applied is Smart AI System by Racing Game Starter Kit (RGSK), but this also has its problem in which to get the best result, a proper configuration is needed. To resolve the problem, researcher proposes the method of machine learning, Naive Bayes for the braking decision. Naive Bayes use three features for the data input, and two output class in which the data will be obtained from the player. The test result showed that the braking decision from Naive Bayes was able to prevent the vehicle from crashing with the outer wall without dropping the game's FPS (Frames per Second). Time acquisition each lap from Naive Bayes was able to keep up with the player's time at an average of 52,5 seconds during 10 laps.
Evaluasi Maturity Manajemen Investasi Pada Dinas Komunikasi, Informatika, Statistik Dan Persandian Provinsi Banten Menggunakan Framework Information Technology Investment Management Zulfa Fahimah; Himawat Aryadita; Admaja Dwi Herlambang
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Dinas Komunikasi Informatika Statistik dan Persandian (DISKOMINFO) Banten Province performs the functions and authority of the management of information and public communication one of them is the management of e-Government. E-Government is the use of technology that connects government institutions with other parties. DISKOMINFO contemplate an action to which investment management has been implemented to support the function and authority as well as recommendations to the investment management to be considered for future improvement. Evaluating investment management based on the Information Technology Investment Management (ITIM) framework using interviews, observations and documentation studies. From the calculation results, the maturity level of investment management at DISKOMINFO is in maturity stage 1 which is investment management that is applies had characterized ad hoc, unstructured and unpredictable . Some recommendations are given to each key process that be able to rise to the next stage of maturity some of them is the form of documentation planning starting from requirement, schedule planning and also the risks that can occur.
Implementasi Algoritme BLAKE2b untuk Pengecekan Integritas File Pramasita Gustiarum; Ari Kusyanti; Mahendra Data
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

File is an object on a computer that stores data and information that can be read by a program on a computer. On computers, files are stored in storage, such as hard drives, DVDs, flash disks and so on. Other than being stored, files can also be moved, shared, changed and duplicated. From these processes, protecting file integrity is very important because these processes can affect data or information stored in it. Possibility of threats in that processes might be corrupted data, data unwantedly modify or file carries hidden data for criminal purposes. Therefore, there is need for a mechanism to check integrity of the data using cryptographic techniques, called hashing. Hashing is a technique to generate unique values from a string and this unique what we called hash value or digest. In this study, BLAKE2b hash function is used as data integrity validation of a file. The experiment in this study includes, timing BLAKE2b to validate .txt file format, which given result of average 18.60s for 500 KB file in size. Next results of BLAKE2b process time are compared with MD5 and the results obtained in this experiment are average of 15.85s and 18.30s for each algorithm, it can be concluded that BLAKE2b is working slightly faster than MD5. Lastly, avalanche test of BLAKE2b gives an average probability of 0.589.

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