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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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Analisis Faktor-Faktor yang Memengaruhi Pemahaman Privasi Informasi pada Pengguna Smartphone di XYZ dengan menggunakan Mobile User's Information Privacy Concerns (MUIPC) Evi Oktavia Kurniawati; Ari Kusyanti; Retno Indah Rokhmawati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Smartphone is a mobile that can facilitate users in interacting with other users. Nowadays, people can't spend a day without their smartphones due to increased productivity when using it. But, behind the development of information technology and telecommunications which seems favorable, on the other side this development can be done by the developers of smartphone by processing users's information which they obtain from the user's smartphone with their own policy without the knowledge of the user. This can be detrimental to users of the smartphone because they can't control the policies of information privacy that can be accessed by the developer. This research aims to analyze the factors that influenced the understanding of the information privacy of smartphone users at XYZ using the mobile user's information privacy concerns (MUIPC), this research used 8 latent variables and 26 manifest variables. The data was collected from the active smartphone users with the age ranged above 17 years old at XYZ with 278 respondents. Data analysis methods that used is Structural Equation Modeling (SEM). From the results, showed that factor understanding of the privacy information on smartphone users at XYZ was influenced by the variables Prior Privacy Experience, Secondary Use of Personal Info, Perceived Surveillance, and Perceived Intrusion.
Rancang Bangun Aplikasi Deteksi Spam Twitter menggunakan Metode Naive Bayes dan KNN pada Perangkat Bergerak Android Faisal Aji Prayoga; Aryo Pinandito; Rizal Setya Perdana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 2 (2018): Februari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Twitter currently is one of the leading social networks worldwide based on the amount of monthly active users after Facebook and Instagram. People uses Twitter mostly to find out more information about breaking news or keeping up with news in general by following trending topics. As Twitter become a source of news breaks contents in form of comments and replies to share the newest ideas. Therefore, several mobile applications that utilize Twitter API has been developed to provide a convenient way in providing trending topics to their user. Twitter trending topics offers an effective opportunity in marketing point of view for online marketers to promote their marketing contents. Spam contents in Twitter were found to be distracting and annoying for certain users, thus mobile application to deliver spam-free Twitter trending topics contents is needed. This research designs an Android application framework that allow developers to build their own implementation of spam detection classifier for Twitter contents as application library. This research implements two classification methods, i.e. Naive Bayes and K-Nearest Neighbor, to identify spam in Twitter trending topics. The Naive Bayes and K-Nearest Neighbor classification methods are able to detect spam and ham contents with 82% and 71% accuracy respectively.
Pembangunan Dashboard Produksi Pada PTPN XII Persero Kantor Wilayah III Gunung Gambir Berbasis Web Sofyan Syahri Huzaini; Bayu Priyambadha; Denny Sagita Rusdianto
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

PTPN XII Gunung Gambir is a state-owned corporation that active in plantation industry located in Jember. Now Gunung Gambir manage tea and latex comodities. Everyday the outcome of production report by manual use Handy Talky and to make the report still use Microsoft Excel. The reportation of the outcome data is reported between one place to another place that usually encounter unfitted data because of the miss heard of information from the sender. The data that have sent is repeated by manual from prior report have recaped in microsoft excel. It can causes problems such as the not acurate and not simple and then the process will take long time. The recapotulation of production report by Microsoft Excel also difficult to read, to analyze, and to predict the data because most of information that shown in the form of numbers. To solve that problems we make production6 dashboard system based on web that it will be expected to simplify the sending process of data then to simplify the monitoring all the production process by simple and interesting appearance. So it can help to determine the next strategy. This research start from analyzing process of the requirement system by interview and observation directly in Gunung Gambir. The next step is planning that can be divide to architectur planning, component planning, data planning anf interface planning. The next step is implementation that relize the system that built before. Both steps are done by object oriented approach. The next step is unit testing, integration testing, and validation testing.
Evaluasi Pengukuran Tingkat Kapabilitas Proses Pengelolaan Layanan, Pengelolaan Aset, dan Pengelolaan Operasi Menggunakan Framework COBIT 5 (Studi Kasus: PT. Pertamina (Persero) RU VI Balongan) Lucky Hidayat; Suprapto Suprapto; Admaja Dwi Herlambang
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

Pertamina (Persero) RU VI Balongan focused on operational management which included service delivery and asset management. To maximized the capability, operational management in the company should be evaluated to saw the capability of process that supported the company's business activities. One of the framework that used to evaluate IT Governance is COBIT 5. Where this aimed to evaluated related process like APO09 for manage service agreement, BAI09 for manage asset, and DSS01 for manage operation. By Used COBIT 5 framework, company knew how far the base practice had done and also supported documents that already applied from each process. And company are knew the capability levels of each process. Supported by qualitative method, where this research used interview technique, triangulation and observation, it helped for validated data from evaluation process and determined of the capability level in each process could be accurated with the condition in the company. From the evaluation of assessment capability level from each process, it would created a recommendation and solution to made improvement to achieved the expected level.
Implementasi Algoritme Support Vector Regression Pada Prediksi Jumlah Pengunjung Pariwisata Mimin Putri Raharyani; Rekyan Regasari Mardi Putri; Budi Darma Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Tourism has an important role for the economic growth of a region. One of the factors affecting the tourism revenue sector is the number of visitors. The more number of visitors can increase revenue, if the number of visitors decreased it will have an impact on the development of tourist attractions that can harm the manager of tourism. The prediction system of the number of visitors is needed as an illustration of the level of the number of tourism visitors for the period to come and can provide information to the managers of tourism to prepare better facilities and infrastructure and able to manage income and expenses to minimize losses. The prediction of the number of visitors to tourism can be done by applying the Support vector regression algorithm. Support vector regression algorithm is a method that can solve regression problems and produce good performance in the solution. In this study data used 72 data on the number of visitors monthly on tourism from 2010 to 2015. Test results show that the average value of MAPE minimum generated is 9,16% and the best MAPE value obtained is 6,98% which means The average difference between the predicted result and the actual data is 115 visitor number with sigma parameter = 925,8409 lambda = 0,3868, cLR = 0,0802, epsilon = 1,27E-10, complexity = 3234,539, maximal iteration 5000.Keywords: prediction, tourism, visitor number, support vector regression
Sistem Temu Kembali Informasi Pasal-Pasal KUHP (Kitab Undang-Undang Hukum Pidana) Berbasis Android Menggunakan Metode Synonym Recognition dan Cosine Similarity Safier Yusuf; Mochammad Ali Fauzi; Komang Candra Brata
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 2 (2018): Februari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Kitab Undang-undang Hukum Pidana (KUHP) is a matter that must be studied and even memorized for people engaged in their field, such as police, law enforcement officials, judges, lawyers or persons associated with the trial. KUHP is a book in which it consists of dozens of chapters and hundreds of chapters with a total of 569 articles, so that with a thick book it will become very inefficient and practical if it must be brought and also if you want to find related chapters that must open the page one by one manual. Based on these conditions in this study developed applications using synonym recognition and cosine similarity methods. Synonym recognition is a technique used to recognize words with different writing but has the same meaning. The cosine similarity method is used to calculate the similarity or closeness of the chapter documents with the query. The performance of the system is indicated by the results of the tests on each threshold variation of 5, 10 and 15, with optimal performance is at threshold 15 which has f.measure value of 0.404.
Seleksi Fitur Information Gain Pada Klasifikasi Citra Makanan Menggunakan Hue Saturation Value dan Gray Level Co-Occurrence Matrix Frisma Yessy Nabella; Yuita Arum Sari; Randy Cahya Wihandika
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

Choosing food has become a challenge for those who are presented with new food choices. Classification is important for those who have a strict diet regarding food that they consume. Food selection is essential for those who are visually impaired to identify food items. The classification process in this research is initiated with the pre-processing of the image, resulting in a segmented image which is then continued with feature extraction where Hue Saturation Value (HSV) for color extraction and Gray Level Co-Occurence Matrix (GLCM) for texture features. Based on features that have been extracted the next step is to gather relevant features using Information gain to reduce the workload. The last process is classification, using K-Nearest Neighbor. Accuracy results are 95,24% at best using only HSV with k=1 for feature selection. A combination of HSV and GLCM using Information gain results in a accuracy from 57,14% to 87,61%. This also applies to only using GLCM with information gain that raises the accuracy from 57,14% to. 74,28%. With the previous statement taken into consideration, Information Gain as a feature selection method increases accuracy with a significant amount and is able to obtain relevant feature if the list of features is abundant. If there are only a few features used, the accuracy increment is not that significant but it decreases the workload of the system.
Optimasi Peningkatan Laba Produksi Abon dengan Menggunakan Algoritma Genetika (Studi Kasus UKM Poklahsar Berkah Lumintu - Tulungagung) Khoirin Nisa Fitrianur; Rekyan Regasari Mardi Putri; Satrio Agung Wicaksono
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

Poklahsar Berkah Lumintu is a Small and Medium Business (SME) located in Gondosuli Village, Gondang District, Tulungagung Regency. As a minapolitan area with the main results of Catfish and Patin Fish. SMEs are producing various kinds of processed fish-based meals by utilizing every part of the fish. The best selling products sold on this SME namely catfish abon, Tuna abon , Patin fish abon, and Salmon abon. It Have been Proved that the abon sales is increased from year to year. In 2011 sales of catfish abon were 6336 packs, and experienced a significant increase in 2015 of 41,000 packs. Determination of the amount of abon production is done only according to the owner's estimate that is subjective only, so often there is excess stock abon.Untuk able to overcome these problems, it needs an analysis based on sales data so as to minimize the remaining stock abon.At the right amount of production can increase the profit industry . Optimization is needed to maximize profits with certain time, materials, and capital in accordance with the limitations that have been set. Optimization of increased production abon in this study using genetic algorithm. After the implementation and research, the best result is 50 with population size = 100, generation size = 90, cr = 0.8, and mr = 0.2
Implementasi Wearable Device Untuk Klasifikasi Postur Keadaan Tubuh Berbasis Data Sensor MPU6050 Menggunakan Metode Naive Bayes Vira Muda Tantriburhan Mubarak; 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

Body posture condition is a body condition or body position of someone when do several kind of activities, for example sit, stand, walk, etc. Marking toward posture is very important in health aspect. Except for health, a body condition can be used in various things too, one of the example is in loT (Internet of Things), when body condition can controls electronic devices in house. Because of that, it needs a study of a system to clarify a body posture condition. In this study, the system is made in wearable device form, where the system can be paired to someone's body easily. Parameter which used for detect the body posture condition is a angle and acceleration in some body points that are chest, right thigh, and left tight. The parameter value be obtained from reading three sensors MPU6050 and be processed with Naive Bayes method in Raspberry Pi Zero W microcontroller. Naive Bayes is chosen as a method to clarify because Naive Bayes is a clarify method which has high accuracy and has fast computation performance. The system also can send the result to android application through Bluetooth protocol and the result can be shown in the application. From the result of system trial can be known error presentation of sensor reading MPU6050 is 1,392%. After that, the researcher also do trial system of Naive Bayes accuracy with 55 practice data and 28 trial data, from the trial, it found 100% accuracy with time computation during 4,178 ms (miliseconds).
Pembangunan Aplikasi Cross-Platform Pelacak Kendaraan dengan Metode Portable Class Library (Studi Kasus Perusahaan Laundry Taptopick) Albilaga Linggra Pradana; Komang Candra Brata; Lutfi Fanani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 3 (2018): Maret 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

One of the factors which can keep a company to running theirs smoothly is the ability to maintain customer loyalty. On a new company, maintaining loyalty is not easy to do because there are several factors that must be addressed. There is a tranportation company that succeeds in maintaining loyalty which is always use business support technology that is intended to focus on the responsibilities of each fleet of drivers. This technology is beneficial for the cost efficiency that customers can feel. Therefore, the case study in this study is on a company that still has employee performance problems that is Taptopick company that serves laundry on-demand in Jakarta. The problem is the difficulty of monitoring the work performed by employees which can causing some problems such as spend too much times of order pickup process which can result in customer disappointment. Based on this problem, this study will design and build a vehicle tracking application which can installed in various operation systems owned by couriers by utilizing cross-platform technology with portable class library method. The results of this research are the list of functional and non-functional requirements of the application, designs models and explanation of how this is implemented. Then for usability testing of the implementation in building the Vehicle Tracking Application was obtained satisfactory results with an average above the standard that is 83,33.

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