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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 Aplikasi Scoring Iqro' Berbasis Android Menggunakan Parameter Suara Pitch, Volume dan Rhythm Mohamad Handy Nugraha; Komang Candra Brata; Adam Hendra Brata
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

The process of learning to read the Quran usually begins to learn the Hijaiyah letter in advance using Iqro' method developed by KH. As'ad Humam. In General, to evaluate reading the students in particular readings of the letter Hijaiyah Iqro methods ' to be done face-to-face with Ustaz and done in the room. It became a problem because of the limitations of time and place. Previous research using speech to text technology to determine right or wrong readings with convert speech into text and then compared with a text that has been prepared. The solution does not cover makhraj aspect of the assessment for assessing a person's ability in reading the hijaiyah letter. This research developing Android app by adopting assessment methods in general karaoke scoring function to yield a score. In this study the score will be shown as a result of the evaluation of the sound readings of people who are learning the Iqro' compared to data already audio file ustaz. The evaluation was conducted using the sound parameters pitch, volume and rhythm using the formula that had been adjusted to control the distribution of score in the range 0 - 100. Score in this paper means overall score range 0 until 100 with weight of pitch, volume and rhythm 0.45, 0.16, and 0.39. Test conducted with 10 respondents with each of the respondents read the reading sample iqro' 1, 2, 3 and as much as 1 content that generates 30 audio files. The correlation coefficient using Pearson between a manual assessment by Ustaz and the application of each 0.034, 0.51 and -0.17 which means the level weak, moderate and weak category.
Klasifikasi Berat Badan Lahir Rendah Pada Bayi Dengan Fuzzy K-Nearest Neighbor Muhammad Rizkan Arif; Budi Darma Setiawan; Marji Marji
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 9 (2019): September 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The number of infant mortality (IMR) is a measure of the success of health services in an area. The lower the IMR, the better the health services in the area. However, in 2015, the IMR value in Indonesia was very far from the agreed target as an indicator of the success of health service development. In 2013, there was an increase in LBW cases during the 2009-2013 period to 16% according to data from WHO and UNICEF. If viewed from the cause of death, low birth weight babies still rank high. As many as 2.79% of infants died from LBW in East Java in 2010. This percentage increased to 3.32% in 2013 so that LBW was classified as the main cause of neonatal death, which was 38.03% of the total birth rate. The existence of an early detection system is likely that LBW is expected to be able to help reduce infant mortality. One method that can be applied to predict the possibility of LBW is Fuzzy K-Nearest Neighbor (FK-NN). This method is proven to be able to carry out LBW classification with an accuracy rate of 79%.
Evaluasi Pengalaman Pelanggan Berdasarkan Metode Online Customer Service Experience (OCSE) Studi Pada Website Tokopedia Febrian Pratama Putra; Yusi Tyroni Mursityo; Admaja Dwi Herlambang
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 6 (2019): Juni 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The purpose of this study is to empirically test a method used to measure customer experience that has been developed by previous studies. This is because most other studies that have been done only focuses on few factors of customer experience and not seeing customer experience in a broader way while companies have to innovate to survive in this competitive era. Online Customer Service Experience framework is used to measure the customer experience which will be evaluated in this study. This framework measures customer experience from psychology factors and the functionality of the website. This includes trust, value for money, context familiarity, usability, communication, product presence, social presence and interactivity. Interviewees used for this study is taken from 5 different person with different background to see customer experience in Tokopedia website from different perspective. This qualitative study uses interviews and observations from Tokopedia website to gather its data. Finding shows that majority of customer experience in Tokopedia is good based from trust, context familiarity, value for money, usability and communication. But few variables such as product presence, social presence and interactivity is still lacking and has to be improved since it affects purchasing intentions on their website.
Pengembangan Aplikasi Pemantauan Alat Berat Pertambangan menggunakan Teknologi Geofencing dengan Arsitektur MVP Arif Luthfiansyah; Denny Sagita Rusdianto; Agi Putra Kharisma
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 8 (2019): Agustus 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

MyVeego is product as system that offers location-based services to help bussiness to manage fleets and assets owned by the company with location visibility, status, diagnostics, and real-time in-depth analysis owned by PT. Astra Graphia Information Technology. Mining has a large area and makes a distance between 2 (two) areas that are focussed far apart and difficult to monitor and manage when conducting mining activities. However, MyVeego does not have a service or module that can monitor the visibility of the location, time, and status of mining vehicles in real-time. By integrating Geofencing technology, WebSocket, and built on the Model-View-Presenter architecture, it allows a system can know the movement of entering, exiting, and dwelling objects to a specified area by displaying location visibility in real-time. Requirements engineering is carried out as the initial phase of research to find out business processs and system requirements. The requirements engineering phase results in 19 (nineteen) functional requirements and 1 (one) non-functional requirements. These requirements are used as a basis in to conducting the design and implementation phases. System implementation is done by integrating GPS technology as the basis of a location-based system, Geofencing technology, and WebSocket technology on the Model-View-Presenter architecture with the Kotlin programming language on the Android platform. Furthermore, from the implementation phase, the testing phase is carried out the result of complexity number 5.3 for unit testing, complexity number < 10 for integration testing. The testing phase gives 100% validity results in all tests.
Asosiasi Tempat Wisata Dengan Kata Kunci Di Malang Raya Dengan Metode Association Rule Mining Menggunakan Algoritme FP-Growth Fardan Ainul Yaqiin; Fitra Abdurrachman Bachtiar; Indriati Indriati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 7 (2019): Juli 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Tourist attraction in Indonesia is growing rapidly. This growth made tourists hard to choose a destination. FP-Growth is an algorithm that uses frequent patterns in forming associations. FP-Growth can be used in the search for tourist attractions associations with its keywords, where these associations can later be used by tourists for reference in choosing destinations, also can be used by managers to improve their services. This study uses commentary data as a set of transactions as input for the formation of associations. In the resulting rule withdrawal, only suffixes of tourist attractions is taken so that the rule produced is the association of tourist attractions with its keywords. Testing is done to determine the effect of minimum support and minimum confidence on the number of rules formed and the average value of lift ratio. The conclusion of this study is the FP-Growth algorithm could be implemented in the formation of association of tourist attractions with keywords. The average lift ratio value of the association formed is 2.77, which means that the association is considered beneficial. In addition, the results of the associations obtained will later be used by managers of tourist attractions to improve their services.
Diagnosis Penyakit Tanaman Cabai Menggunakan Metode Modified K-Nearest Neighbor (MKNN) (Studi Kasus: BPTP Karang Ploso Malang) Hadi Dwi Abdullah Hamid; Nurul Hidayat; Ratih Kartika 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

Red chili is one of the most important vegetables in Indonesia, whether it is as a commodity that is consumed domestically and as an export commodity. As vegetables, beside red chili has a high nutritional value, it also has a high economic value. However, the productivity of national red chilli is still very low at 7.34 tons / ha, whereas the actual yield can potentially reach 12 tons / ha. In a planting period, chili can be harvested several times. If the season and the treatment is very good, chili can be harvested 15-17 times but generally, it can be harvested only 10-12 times. The low productivity of chili can be caused by a variety of factors, including poor quality of chili seeds, decreasing soil fertility, bad implementation of cultivation techniques, plant pest and disease problems. In order to handle this, technology is needed by applying one of the classification methods, namely Modified K-Nearest Neighbor (MKNN). Modified K-Nearest Neighbor (MKNN) is the development of the KNN method that has been designed to overcome the weaknesses of the distance between data and weight in the KNN. The method analysis is based on 18 symptoms of the disease with the process of calculating euclidean distance, calculating the validity and calculation of wighted voting which result in the determination of the classification class based on the specified K value. The test results showed that when using the value K = 5 produces an accuracy of 94%, then K = 8 produces an accuracy of 92%, K = 11 produces an accuracy of 88% and testing K = 14 produces an accuracy of 88%. Based on the results obtained, the Modified K-Nearest Neighbor (MKNN) method showed good accuracy for classifying chili disease.
Penerapan Metode Lean UX pada Pengembangan Aplikasi Bill Splitting menggunakan Platform Android Ismail Rabbanii; Adam Hendra Brata; Komang Candra Brata
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 7 (2019): Juli 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Bill splitting is a way to divide the burden on a bill into two or more parts. Based on the survey conducted on 28 respondents born in one of 1995 to 2014 in Indonesia showed that 64.3% of the total respondents gave grades 3 to 5 on a scale of 1 to 5 regarding how much difficulty they felt when sharing bills. These findings become a reason for researchers to develop an application that can facilitate respondents in sharing bills. This research provides an answer to the problem that has been elaborated by implementing Lean UX as a method of developing user experience on an Android-based bill splitting application called Ezcount. Lean UX is a method of developing user experience that has four stages in the process, namely Declaring Assumptions, Create MVP, Run Experiment, and Feedback & Research. After going through two iterations, usability testing on the application that has been made shows the results on the effectiveness criteria of 92.73%, the efficiency criteria is 92.00%, and the criteria for the user satisfaction level are 85.50%. When calculating the average of the test results, the final value of testing usability of Ezcount application is 90.08%, which can be concluded that the Ezcount application has a very good usability level.
Evaluasi Usability Aplikasi Mobile Banking Dengan Menggunakan Usability Testing (Studi kasus: Aplikasi Jakone Mobile PT.Bank DKI) Muhamad Wido Rahman; Widhy Hayuhardhika Nugraha Putra; Lutfi Fanani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 6 (2019): Juni 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Jakone mobile is an internet banking service product owned by PT. Bank DKI. In its application, users need information on Jakone cell phones that do not require details so that users feel less confident when using. In addition, users can make complicated transactions on the Jakone mobile application because the application often corrects errors, making customers feel dissatisfied. Based on these problems this application needs to be evaluated for usability to measure the usefulness of the Jakone mobile application and find problems and be given recommendations to improve the Jakone mobile application in the future. This study uses usability testing methods with aspects of learning ability, effectiveness, and efficiency. The distribution of the SUS questionnaire was used to obtain aspects of satisfaction. Usability testing and interviews are conducted by 5 people using the new Jakone mobile application. The SUS questionnaire is conducted by 20 active users of the Jakone mobile application. Based on the evaluation results, the learning aspects were 94%, the effectiveness aspects of the evaluation were 11%, the efficiency aspects were 19%, and the satisfaction aspects were obtained 67% of the SUS questionnaire which showed the application needed improvement. Based on the results of the interview found problems with aspects of learnbility, namely descriptions not given, difficulty choosing icons, The satisfaction aspect is considered important, button is not consistent. The efficiency aspect that is considered important is a menu that is hard to find. From these considerations a discussion based on appropriate usability guidelines is provided from the debate.
Evaluasi Kualitas Website Jawa Pos menggunakan Metode Webqual 4.0 dan Importance Performance Analysis (IPA) (Studi pada PT. Jawa Pos) Yunior Rikky Fitanto; Satrio Hadi Wijoyo; Admaja Dwi Herlambang
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 9 (2019): September 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

PT. Jawa Pos is a company which engaged in the multimedia printing daily newspaper named Jawa Pos, based in Surabaya, East Java. Furthermore Jawa Pos is also engaged in the application and the website as a media for users to read the news. The purpose of this research is to know the quality of Jawa Pos website which emphasizes on three variables, namely Usability factor, Information Quality factor, Service Interaction Quality factor on Jawa Pos website based on Webqual 4.0 method. Data collection is obtained from the dissemination of questionnaires and analysis using descriptive analysis and Importance Performance Analysis (IPA) method which assesses the performance of Jawa Pos website based on the importance of each variable. The valuation scale on this study used the Likert scale method implementing the 5 scales of choice with statements ranging from strongly disagreeing to very concur. While the technique used to measure the number of respondents needed in this study, using Slovin technique with a percentage of accuracy is 90%, so the number of respondents needed in this research is 100 respondents. To limit the scope of existing, the characteristics of the population in this study are the people who have experience using Jawa Pos websites to read the news online with sampling techniques using the approach Convenience Sampling. This research resulted in an improvement recommendation based on its factors of interest and performance.
Optimasi Kombinasi Bahan Makanan untuk Mencegah Stunting pada Balita dengan menggunakan Algoritme Genetika Tria Melia Masdiana Safitri; Imam Cholisoddin; Budi Darma Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 8 (2019): Agustus 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The number of good nutrients provided to kids in Indonesia has been a common problem and has yet to be solved. The lack of nutritional intake can cause malnutrition and stunting (the lack of height growth). Indonesia has become the fifth biggest country in terms of the numbers of toodlers suffering stunting, whose numbers have risen to nearly 9 million toddler. Stunting in toddlers can be caused by many factors, one of which is the lack of knowledge possessed by the parents of the combination of a variety of food ingredients which must be fed to the toddler in order to provide a perfectly balanced supply of nutrients. Providing a single dish does not always provide a perfectly balanced supply of nutrients. Providing a stable supply of perfectly balanced nutrients can be achieved by a variety of food ingredient combinations that contain roughly the same amount of nutrients. In this research, a recommendation of food compositions was provided through the course of 7 days using a genetic algorithm to assist parents in combining food ingredients which corresponded with a toddler's nutritional needs. Based on the testing parameters of the genetic algorithm, the optimal results from the combination of Cr:Mr test was 0,7:0,3 and the fitness results had an average score of 97,412. The testing results on the optimal size of the population was discovered to be 90 with an average fitness score of 96,95. Testing of the most optimal number of generations that need to be generated were 350 generations with an average fitness score of 96,664. The result of the test was capable of saving the parents expenses as much as 35,77% with the average cost of a dish was Rp.19269,21.

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