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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 5 (2019): Mei 2019" : 125 Documents clear
Evaluasi Kualitas dan Kesuksesan Implementasi E-Learning Fakultas Ilmu Komputer Menggunakan Model Unified Theory of Acceptance And Use Of Technology, Model Delone & Mclean dan Hot Fit Terintegrasi Bayu Andhika Sarwono; Retno Indah Rokhmawati; Niken Hendrakusma Wardani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Based on data obtained from observations at the Faculty of Computer Science (FILKOM) in Universitas Brawijaya who have made use e-learning. This study aims to determine the quality conditions and the success of e-learning implementation. This study uses an integrated evaluation model from the acceptance model of the Unified Theory Acceptance and Use of Technology (UTAUT), the success information system model of DeLone & McLean and the HOT Fit human-organization-technology conformity model integrated with modifications adapted to the characteristics of the Faculty of Computer Science and can describe the success and acceptance of e-learning itself. The used data in this study were obtained from 100 respondents using purposive sampling technique. Data collection is done through a questionnaire. Data analysis in this study used descriptive statistical methods. The results show that Social influence variables, service quality, user satisfaction, Top Management Support, and Organization support into the high enough category and other variables enter the high category. The recommendations from this study are based on indicators of each variable which has a value below the total average so that later it can improve the quality and success of e-learning implementation.
Kakas Bantu Perhitungan Nilai Reusability Berdasarkan Rancangan Perangkat Lunak Rosita Budianti; Fajar Pradana; Eriq Muhammad Adams Jonemaro
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Reusability is one of the software quality that means the ability to reuse software components on other problems to reduce time, cost, and human resources. Reusability can be measured at the design phase so the software design can be improved as early as possible before it is implemented. This research is intended to develop a tool for measuring reusability of software design automatically. Measurement of reusability is done by multiple regression techniques using object oriented design property metrics, namely coupling, encapsulation, and inheritance based on the Quality Model for Object-Oriented Design (QMOOD) metric, because the correlation between reusability and property has been validated and results in high acceptance values of 95%. Reusability is calculated from the input class xml diagram. From the results of development, all defined requirements have been tested and produce valid. In addition, for efficiency requirements, the system has efficiency that is 100% can do calculations and time is faster than manual calculations for both simple and complex test filed. So the system can be useful to help calculate reusability more efficiently than manual counting.
Pengembangan Sistem Pelaporan Gangguan Berbasis Web dengan menggunakan Teknologi Progressive Web Application (Studi Kasus: Unit IT PT. Kereta Api Indonesia Daerah Operasi III Cirebon) Ari Setiawan; Denny Sagita Rusdianto; Agi Putra Kharisma
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The mission of PT. KAI is conducting business activities based on 4 main pillars, namely safety, punctuality, service and comfortability. To reach these 4 pillars, the IT unit of PT. KAI operating area III Cirebon makes a procedure for handling distrubance. But this procedure is still done conventionally, so that it still has several problems such as frequent reports of disturbances that are not successfully delivered, lack of information about officers who are on duty, officers unable to report to the leader when they want to go to place of distrubance and there are no reports of device coming out of the warehouse. To deal with this problem a solution was formed in the form of a system that has the main features disturbance reporting, disturbance handling and warehouse management. Research begins with requirement engineering which analyzed to 48 functional requirements and 1 non-functional requirement. The next step is to make a design and implementation. This system is developed using PHP, JavaScript, CSS and HTML using MVC design patterns (Model, View, Controller) based on web. This system is equipped with progressive web application technology. This system uses a MySQL database. After implementation is finished, testing of the system is carried out. This system has been successfully tested with unit testing, integration testing, validation testing and compatibility testing. The results of the system test is 100% valid for all tests, which means the system is compatible with analysis and design result.
Implementasi TOPSIS Pada Sistem Rekomendasi Pemilihan Lapangan Tenis Di Malang Berbasis Lokasi Heru Budiyanto; Ratih Kartika Dewi; Sutrisno Sutrisno
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Many people, especially in Malang city, like to play sports in tennis courts, so more tennis courts are spread out in Malang. However, with so many places in the tennis court, sometimes many people do not know which one is better for training. Seeing this problem, the researchers built a recommendation system for tennis courts in Malang. This system was developed using the Android-based native mobile development model so that it can be reached by many people. With this application, the community can get recommendations on suitable tennis courts based on their location using GPS. The recommendation system for the tennis court was designed using the TOPSIS method with 3 criteria data, namely the distance from the user's location using haversine calculations, tennis court prices per hour, and rating. The results of functional testing, the system built has fulfilled the functional requirements with a 100% valid value, Testing the algorithm validation between manual calculations and system calculations shows a 100% match in the form of alternative sequences and the value of each alternative, and Rank Consistency Testing by reducing and the addition of criteria is 2 criteria and 4 criteria compared to the initial criteria to get a consistent ranking result.
Identifikasi Jenis Penyakit Mental Ansietas Menggunakan Metode Modified K-Nearest Neighbor Zubaidah Al Ubaidah Sakti; Budi Darma Setiawan; Mochammad Ali Fauzi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

On every levels of society and age must have experienced anxiety, from early state to disorder state. Not everyone knows how to deal with it, if it not treated it would become dangerous mental illness for mental and physical condition. There are six kind of anxiety , that is General Anxiety Disorder, Panic Disorder, Social Anxiety Disorder, Specific Phobia, Obsessive Compulsive Disorder, and Post Traumatic Stress Disorder. In this research will be conducted the identification for kind of anxiety based on Hamilton Rating Scale of Anxiety (HIRS) questionnaire with Modified K-nearest Neighbor (MKNN) for the research method. Unlike K-Nearest Neighbor (KNN), MKNN is another version of that where on MKNN training data must be validated first and for the class voting would be weighted. This research indicates that MKNN could identify anxiety better on unbalanced data used 96 training data and 24 test data with value of h=1 and optimum value of K=3 with best average result 95%, while on balanced data with optimum value of K=2 best average result is 93,333%. This research also indicates as comparison with KNN that in this case resulted on KNN has better result processing balanced and unbalanced data because of noisy data on weighted process, and the result from K-fold Cross Validation that conclude the system is capable enough.

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