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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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Evaluasi Pemanfaatan Aplikasi Pelaporan Orang Asing (APOA) Menggunakan Model Kesuksesan DeLone and McLean dan Importance Performance Analysis (IPA) (Studi Kasus : Kantor Imigrasi Kelas I Kota Malang) Karimah Siti Wahyuni; Mochamad Chandra Saputra; Admaja Dwi Herlambang
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Foreigner monitoring application (APOA) is an information system that is implemented by the Immigration government agency to facilitate the reporting process of foreigners to immigration. The problem that arises in the implementation of APOA at the Immigration Office in Malang is that the availability of hardware with old specifications makes APOA operations often disrupted, there are still some residences or companies that have not registered or reported the status of the Foreign Citizens in the community so that the foreigners' data entered at APOA is not 100% accurate. Evaluation of the utilization of the APOA information system was carried out using DeLone and McLean's success model and Importance Performance Analysis (IPA). The IPA was conducted by finding the value of the level of suitability and gap analysis before then be mapped using a Cartesian diagram to find the priority of improvement which is based on the 5 success variables of DeLone and McLean namely Quality System, Information Quality, Service Quality, User Satisfaction, and Net Benefits. The results of the evaluation show that the best performing variable is on the information quality with the level value of 100.6% and the positive gap (+) of 0.02. Recommendations are given to 10 indicators in 5 DeLone and McLean variables: Easy to Use, System Accuracy, Timeliness, Relevance, Usability, Assurance, Empathy, Adequacy, Effectiveness, and Productivity.
Analisis Kualitas Layanan Website Terhadap Persepsi Pengguna Menggunakan Metode Webqual dan Servqual Amellia Ayu Permatasari; Mochamad Chandra Saputra; Aditya Rachmadi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In the era of information, most of educational institution in Indonesia uses webset as an information media to easiere people to get information from this institution. It is not only for information, website also helps the institution to computerized the manual job. It is can be called as information sistey management. To know the quality of website services, there are two methods, servqual and webqual method which can be used to analized it. From those two methods, which one is to have the most common among the variable in website quality services in the Mathematics department, from the users perception that focus on the quality of website services. The researcher use tservqual method, webqual method, dual regression and factor analysis to measure website services quality. From those methods, regression anlysis shows that the Mathematics department's website is no quite informative. From this research, the researcher hopes that the website services in Mathematics Department can give the service faster and easier to the users.
Klasifikasi Berita pada Twitter Menggunakan Metode Naive Bayes dan Query Expansion Hipernim-Hiponim Fakhruddin Farid Irfani; Mochammad Ali Fauzi; Yuita Arum Sari
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

The large number of posted tweets resulted in scattered tweets and appearing on the Twitter homepage very diverse and not classified by categories such as health, sports, technology, economics, tourism and so on. The absence of categorization causes the user difficulty to read or retrieve information related to certain desired categories. Solution that can be done is by the method of text classification, which in the process of classification is able to classify automatically against some categories on unstructured text with natural language. In this research will be done classification process using Naive Bayes method with additional query expansion to add term in initial document. The addition of term aims to optimize the classification process because the tweet is a short text that can lead to ambiguity of classification classi. The additions made are hyponym and hypernym from original documents extracted from WordNet. Accuracy calculation method used is k-fold that aims to test the robustness of system. The accuracy obtained was 72% for the classification without query expansion, 65.75% for hyponym and hypernym addition, 66.3% for hyponym addition, and 67.5% for hypernym addition. It can be concluded that the addition of queries made less effective to improve the accuracy of the classification process.
Pembangunan Aplikasi Monitoring dan Seleksi Atlet (Studi Kasus: Cabang Olahraga Basket, Sepak Bola, dan Bola Voli) Helfi Pangestu; Bayu Priyambadha; Achmad Arwan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Sport is an activity which can improve someone's health. Indonesia government creates an organization that aims to accommodate people based on their hobbies especially in sport. Organization scale is not only national but also available in campus. Beside of accommodating people, the organization aims gathering people who has good potential. To select and monitor prospective athlete, organization management do internal sparing. But it is not objective because someone's condition can not only monitor by once or twice workout. In case continually monitoring, coach has faced trouble in performance documentation section. It is caused by limited resource. That's why, researcher proposes a system which able to monitor and keep the result using waterfall development method.Result of implementation is; monitoring system and selective athlete has many feature about team management, keeping athlete's achievement, injury history and athlete recommendation. It has built using Model-View-Controller (MVC) structure laravel framework. White-box testing result system and black-box testing result in the amount of validity is 100%.
Pengembangan Sistem Aplikasi Transaksi Bank Sampah Online Berbasis Web (Studi Kasus : Bank Sampah Malang) Meilisa Dwiyati Marali; Fajar Pradana; Bayu Priyambadha
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

Bank Sampah Malang (BSM) is a foundation with focus in collecting and processing waste from activities revolve around Malang. One of the activities in BSM included making savings from the waste that still can be sold. From the transaction, there are several problems felt by both the officers and customers of BSM. First problem is the officers of BSM need a medium to introduce BSM to society, especially in Malang. They also found it is hard to locate the customers that used a ‘pick-up waste' service. Second problem from the customer used the ‘pick-up waste' service, in which, the system used is troublesome. Their saving books have to be brought by the officer to be checked by teller, and they have to pick their saving books in BSM office next day. The purpose of this research is to help BSM to create a web-based online transaction to help solving the problem stated above. The software development in this research is done by using Waterfall method. Stages performed in this research include literature research, analysis of user needs, System Design, implementation, testing, and decision making. This system is developed in web-based environment and the programming language used is PHP. Google Maps API is used to read and locate the pick-up location. Unit testing use white box method and the result is 100% valid in 3 testing cases. The validation testing use blackbox method and the result is 100% valid from 32 testing cases. Compatibility's testing result also shown 100% valid from 3 testing cases.
Implementasi Sistem Monitoring Keamanan Rumah Pintar Berbasis Alexa Voice Command Pada Raspberry Pi Bramantyo Ardi; Sabriansyah Rizqika Akbar; Rizal Maulana
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

Smart home is a house that provides comfort, safety and convenience to its inhabitants. A few years ago this smart home technology has grown very rapidly. There are several methods in its development, one of which is using voice control method. One of the emerging Voice Control System technologies is the Alexa Voice Service developed by Amazon. In this research will be implementing Alexa Voice Service on Raspberry Pi devices that can control some sensors that will be implemented on a smart home. The commands to be used on Raspberry Pi devices will be delivered to the Alexa Skills Kit via the Alexa Web Service already installed on Raspberry Pi devices. Then the command will be sent to Amazon Web Service Lambda and then modeled with JSON format so that voice commands can be recognized by the system. Then the formatted sensor data will be published to MQTT. Furthermore, Alexa Web Service Lambda will subscribe data that later data will be voiced by Alexa. The accuracy of the sound system to read sensor data reaches 80 %.
Deteksi Gerakan Kepala Berdasarkan Analisis Bounding Box Pada Citra Digital Berbasis Raspberry Pi Muzammilatul Jamiilah; Fitri Utaminingrum; Wijaya Kurniawan
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

In general, navigation is done by using the hands and feet. However, as we know in Indonesia there are some people who have limitations or do not have hands and feet. So that users who have disabilities in their hands and feet will have difficulty for navigating or controlling the tools. Therefore, this study proposes that head movement as a control can replace the function of hands and feet by utilizing bounding box analysis. This study uses a Logitech C310 camera. The process used in this research is image processing. The output generated in this system is LED Control. Test accuracy results on good skin color detection to detect the face skin color is a distance of 50 cm, 75 cm, 100 cm, and 125 cm at morning and afternoon and also a distance of 50 cm, 75 cm at night. The accuracy of the results of testing the detection of head movement distance and the best time for doing it is at a distance of 50 cm in the morning, afternoon and night with an overall percentage of 90.62%. The average computation time of each movement for the right side is 59.87 ms, the left side is 57.64 ms, upright is 55.72ms, and the last look down is 44.62ms.The accuracy of system integration with hardware or LED is 100%.
Rekomendasi Dan Perbaikan Proses Bisnis Menggunakan Business Process Improvement Pada PT. Trivia Nusantara Satrio Dwiartono; Nanang Yudi Setiawan; Aditya Rachmadi
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

Trivia Nusantara is stationary supplier, advertising, and printing company. On the daily business, PT. Trivia Nusantara found out that many processes are done incorrectly, the indication are order processing takes a lot of time to be done and the amount of inventory record does not match with the amount of item in the warehouse. Based on those indication, this research aims to evaluate business process and analyze potential problem that may occur and to address the root cause of identified problem on the business process. The first step is analyzing business process using value chain to identify the main process and the secondary process, also to model the identified process using Business Process and Model Notation (BPMN). The next step is analyzing the potential problem and its effect to the company's business process using Failure Mode and Effect Analysis (FMEA). Next step is identifying the root cause of the highest rank from each of the company's business processes using 5-Whys analysis method. From 13 problems identified, there are 7 activities that cannot be solved with Business Process Improvement (BPI) method because the root cause of the problems are human resource. Business process improvement solves 6 activities on menerima order process and menerima barang datang process using streamlining tools on Business Process Improvement (BPI) method. The results of business process improvement are time improvement of 83.77% or 9 minutes 33 seconds per process on penerimaan order process and 1.65% or 33 seconds per process on penerimaan barang process.
Klasifikasi Kemacetan Lalu Lintas di Kota Malang Pada Sosial Media Twitter Menggunakan Metode Improved K-Nearest Neighbor Riska Dewi Nurfarida; Indriati Indriati; Rizal Setya Perdana
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

Twitter is a social media network that has many users that can be used for communication media. And from Twitter you can also get various forms of information including negative and positive opinions and various other types of information. One of the information that can be obtained from Twitter is information about traffic conditions. Malang City community uses Twitter social media as one of the media to get information about traffic conditions. Through the @PuspitaFM account, the people of Malang City share information about the state of traffic around them. From the @PuspitaFM account, every day I will share tweets about traffic conditions in Malang City either by tweeting directly or tweets from followers that will be retweeted by the @PuspitaFM account. Of all the tweets that exist, sometimes there is confusion that occurs in the categorization of traffic jams or not jammed in the tweet. Therefore, the classification of tweets is jammed or not jammed as a solution to the problem. There are several processes carried out in this study, namely starting from prepocessing text which is divided into cleansing, case folding, tokenisation, filtering and stemming processes. The process will continue with the term weighting or weighting process, followed by normalization, cosine similiarity and classification processes with the Improved K-NN method. The results obtained from this study are recall value of 0.42857, precision value of 0.71428, f-measure value of 0.53571 and the best accuracy of 65.33%. The training data used is 600 tweet documents, and 150 test data tweet documents.
Sistem Rekomendasi Pemilihan Benih Varietas Unggul Padi Menggunakan Metode Fuzzy Analitycal Hierarchy Process - Simple Additive Weighting Agung Dwi Budiarto; Edy Santoso; Muhammad Aminul Akbar
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

The continuously increasing number of Indonesian population each year is directly proportional to the increase in national food needs. The increase in this demand is not matched by an increase in agricultural production in the country, so the government is constantly imports to meet their food needs. It takes effort to increase production, especially rice which is considered as a major food ingredient majority of the public. One of the solutions is by activating seeding rice varieties. However, the number of criteria considered making farmers had difficulty in determining their choice. Judging from the problems that arise, there are a number of methods that can be implemented to solve the problems of farmers in decision-making, namely the presence of a recommendation system that is capable of solving the problems of multiple criteria using Fuzzy Analytical Hierarchy Process (Fuzzy AHP) to calculate the weight of the criteria and Simple Additive Weighting (SAW) method to measure the alternatives rank. Functional testing system generates a value of 100%, which means that the system is functioning properly in accordance with the design requirements. While the correlation testing using Spearman method produce the rank-order correlation coeficient of each variety, which coeficient of the INPARI varieties is 0,999, INPAGO is 1,000, INPARA is 1,000, and HIPA is 0,981. So, it can be concluded that the Fuzzy AHP-SAW methods on this system can be used for recommending selection of seed varieties of rice, because it has a positive relationship that approach perfectly with the expert's rank data.

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