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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 125 Documents
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Search results for , issue "Vol 3 No 4 (2019): April 2019" : 125 Documents clear
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.
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.
Implementasi Sistem Penentuan Kesegaran Daging Sapi Lokal Berdasarkan Warna dan Kadar Amonia Dengan Metode Jaringan Saraf Tiruan Berbasis Embedded System Hamdan Bagus Firmansyah; Dahnial Syauqy; Mochammad Hannats Hanafi Ichsan
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

Beef is the most meat that consumed by humans. High consumption of beef along with the high price of beef has caused many butcher mix fresh beef with rotten beef. The impact of consuming rotten meat can be diarrhea and poisoning. From these problems we need related research to make meat freshness detection systems to reduce disadvantages in the society. In this study the parameters used were color and ammonia levels. This study aims to design a system for determining local beef freshness based on color and ammonia levels. The process of determining the freshness of the meat is obtained from the reading results of the TCS3200 color sensor and the MQ135 gas sensor by the Arduino Uno microcontroller using the Artificial Neural Network method. Accuracy results from the tests carried out obtained a system for determining the freshness of beef based on color and ammonia levels in local beef with artificial neural network methods tested with the number of training data as much as 81 data and test data as many as 27 data worth 92.5%.
Sistem Monitoring Ph Dan Suhu Air Pada Tambak Udang Menggunakan Protokol Websocket Adhi Kurniawan; Heru Nurwarsito
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 Network (WSN) is a network architecture in which each sensor has the ability to be able to observe the surrounding conditions (sensing). In implementing the Wireless Sensor Network (WSN) we can create a monitoring system consisting of several sensors, microcontrollers and wireless communication between nodes with low and low power in maintaining them. To make communication between nodes, a network protocol is needed that is easily developed and understood by most users and can display information in real time, communication that can be used to create realtime applications, namely Websocket. Websocket is chosen for communication between nodes because it is able to provide statefull and full-duplex communication on the HTTP protocol which is very suitable for monitoring systems. In its implementation the system is used to monitor the pH and temperature of the water in the cultivation of shrimp ponds. The results of performance testing show that the accuracy of the sensor in obtaining information on the pH value and temperature has an accuracy rate of 99% with an error rate compared to other measuring devices which are below 1%. While the data transmission performance required by the system in serving requests from the client until sending it back to the client requires an average time of less than 1 second of each transmission process.
Analisis Kinerja Protokol Routing Destination Sequence Distance Vector (DSDV) dan Optimized Link State Routing (OLSR) Berdasarkan Mobilitas Gauss-Markov Pada Mobile Ad-hoc Network (MANET) Aditya Prayudhi; Rakhmadhany Primananda; Reza Andria Siregar
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

Wi-fi technology is very dependent on the infrastructures, therefore Mobile Ad-Hoc Network (MANET) arises as a solution to this problem. MANET is a network technology that can run without a centralized infrastructure. MANET also needs a protocol so that every devices can communicate with each other. DSDV and OLSR are the protocols commonly used in MANET. Simulation is needed to determine which protocol is better in a certain network condition. Researchers mainly used software simulator to help them simulate MANET because real life simulation costs too high. Mobility model is needed so that nodes in simulation can represent mobile devices properly. The example of a mobility model is gauss-markov. In this mobility model, initially the node will run with a certain speed and direction, then after some time interval the calculation of destination and speed will be carried out based on the destination and speed of the node at that time. This research examined the performance of DSDV and OLSR using the gauss-markov mobility model. The results of the tests conducted, the OLSR protocol generally has better performance. But the advantages of the DSDV protocol are lower end-to-end delay values when testing with fewer nodes and lower node speeds.

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