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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 6,972 Documents
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Perbandingan Usability Learning Management System Edmodo dan Google Classroom Menggunakan Metode Cognitive Walkthrough dan User Experience Questionnaire (UEQ) (Studi Kasus: SMKN 3 Malang) Syattya Permata Anugrah; Retno Indah Rokhmawati; Satrio Hadi Wijoyo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 4 (2020): April 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The implementation of Learning Management System (LMS) at SMKN 3 Malang there are still problems encountered by students due to their low literacy power, appearance that is difficult to understand and users do not understand some features in the system. So that problems arise in the usability and learnability aspects of the LMS. Researchers compared usability on the two LMS used, which are Edmodo and Google Classroom, using the Cognitive Walkthrough method for testing usability and User Experience Questionnaire (UEQ) to get the user experience of students against the Google Classroom and Edmodo LMS. Respondents involved five students for the Cognitive Walkthrough test and 30 students for the User Experience Questionnaire (UEQ) method. Cognitive Walkthrough test results show the Google Classroom LMS has a total of eight problems, then on LMS Edmodo there are nine problems. On the results of the distribution of the UEQ questionnaire, Edmodo excelled in aspects perspicuity, dependability, stimulation, and novelty. While Google Classroom excels in aspects of attractiveness and efficiency. From these results, Google Classroom is more recommended for new users because it excels in the learnability aspect, but in terms of user experience, Edmodo is more recommended for use by students of SMKN 3 Malang in teaching and learning activities in class.
Implementasi Metode Extreme Learning Machine (ELM) untuk Memprediksi Jumlah Debit Air yang Layak Didistribusi (Studi Kasus: PDAM Kabupaten Gowa Makassar) Putri Indhira Utami Paudi; Muhammad Tanzil Furqon; Sutrisno Sutrisno
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 3 (2020): Maret 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

PDAM Gowa Regency, Makassar City is a company under the government that carries out the process of water production and continues to distribute the PDAM water to home residents. If there is a lot if water produced, it means theres is also a large amount of water that available for PDAM, so it can fulfill the public's requirement and can even to add customers. However, the seasonal change factor can take effect the discharge of water produced. So, the main problem is the uncertainty of water production which will certainly have an impact of the PDAM water distribution that will be distributed to home residents. But not all the water produced can be distributed because it has to go through several stages of water quality checking, so that the water that's distributed is in accordance with the standarts set by the government. Therefore, preduction of a proper flow of water distributed by PDAM is needed, with the aim that PDAM can adjust the proper flow of water distributed to customers. This research applies Extreme Learning Machine (ELM) method to forecast using single variable dan multivariate data types. The process of applying the ELM methods are normalizing, process of training and testing, denormalizing, and evaluating the prediction results using Mean Percentage Absolute Error (MAPE). Depend on the application of the ELM method and the testing process, it produces the best conditions of single data variable when using 7 input neurons, 4 hidden neurons, 20 training data and 5 testing data to produced an average MAPE of 3.938%, while using the multivariate data, the average MAPE was 13.081% using 4 hidden neurons, 30 training data and 5 testing data.
Evaluasi Proses Optimalisasi Sumber Daya dan Kegiatan Operasional pada PT. Garuda Maintenance Facility Aeroasia Tbk Menggunakan Kerangka Kerja COBIT 5 Domain EDM 04, APO 07, dan DSS 01 Bunga Asmara; Yusi Tyroni Mursityo; Aditya Rachmadi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 3 (2020): Maret 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

PT. GMF Aeroasia Tbk is a company that provides maintenance and repairment services for airline companies. PT. GMF Aeroasia Tbk has a big scope of work and business process, so in this case the company needs an IT Governance that supports the company to achieve company goals. There are many lacking process in PT. GMF Aeroasia Tbk which the company should improve and these are IT assets governance, human resource management which supports the IT operation, and company operational management. With the lacking process, the writer try to have a research for analyzing the capability level with COBIT 5 framework sub domain EDM 04 (Ensure Resource Optimisation), APO 07 (Manage Human Resource), and DSS 01 (Manage Operation). In this research, Data collection is done by an interview, assessment paper questionnaire, and observation. The respondents are EVP Information, Communication & Technology, GM Network & IT Infrastructure, and GM IT Operations which determined by the RACI Chart. The Capability Level achieved by PT. GMF Aeroasia Tbk is Level 3 on EMD 04 sub domain and APO 07, and Level 2 on DSS 01 sub domain. The recommendations that given to PT. GMF Aeroasia Tbk focused on detailing the procedure, established control limit, contract personnel procedure, and process performance measurement.
Pengaruh Kualitas Implementasi Model Pembelajaran Tipe Student Teams Achievements Divisions (STAD) dan Model Pembelajaran Tipe Numbered Head Together (NHT) terhadap Hasil Belajar Siswa Kelas X Program Keahlian Teknik Komputer dan Informatika Mata Pelajara Duwi Ajeng Intan Sari; Admaja Dwi Herlambang; Satrio Hadi Wijoyo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 4 (2020): April 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The problem in class X SMK Negeri 5 Malang is the lack of student synergy when learning takes place, also the results of learning knowledge have not experienced a significant increase. The Numbered Head Together (NHT) type of learning model has not been able to increase student enthusiasm and grades. The use of other learning model variations is useful for overcoming problems that occur. The purpose of this research is to find out the different effects on the application of Student Teams Achievement Division learning models compared to NHT. The method uses Quasi Experiment method or quasi-experimental using the None-Equivalent Control Group research design. The instrument used is in the form of written test questions. The results of normality test data found abnormal data, the researchers used nonparameteric statistical tests. Hypothesis testing using the Man Whitney and Wilcoxon test method as an alternative t test was performed using SPSS software. The results give the conclusion that both models have a role in increasing learning outcomes. Using the STAD model produces a higher average learning outcomes with a value of 86.56 than the Numbered Head Together learning model has an average of 77.88. Because the two models have differences, the difference seen in STAD applies a point and reward that is useful to provide stimulus and motivation to students.
Prediksi Luas Serangan Hama pada Tanaman Padi Menggunakan Metode Extreme Learning Machine (ELM) dan Particle Swarm Optimization (PSO) Cornelius Bagus Purnama Putra; Randy Cahya Wihandika; Sigit Adinugroho
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 3 (2020): Maret 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Indonesia is one of the countries with the largest population in the world. The majority of the population consuming rice as the staple food, rice becomes an important commodity. Recent global warming has resulted in extreme climate change, so that it can affect crop productivity and the intensity of OPT (Plant Pests) attack on rice plants. In meeting the increasing need for rice, it is necessary to prevent pest attack so that widespread prediction of pest attack area is needed in order to know earlier about upcoming pest attack. This study used hybrid algorithm Extreme Learning Machine and Particle Swarm Optimization with used data on pest attacks and climatology of Sidoarjo Regency from January 2009 to December 2018. Based on the research, the optimal parameters obtained are the ratio of training data 80% and testing data 20%, activation function of TanH, total population of 40, combination acceleration coefficient of 1 & 2, inertia weight limit of 0,4 & 0,9, hidden neuron of 5, and a maximum iteration of 100. Based on these parameters, the average value of the Mean Absolute Percentage Error (MAPE) is 25.143% which is included in the MAPE category of quite good, which is within the range of 20% -50%.
Deteksi Pergerakan Bola Mata untuk Pemilihan Empat Menu Menggunakan Metode Facial Landmark dengan Ekstraksi Fitur LBP dan Klasifikasi K-NN Rhaka Gemilang Sentosa; Fitri Utaminingrum; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 4 (2020): April 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The more sophisticated technology makes all electronic devices can be made through joysticks, remote controls, and so on. This is a challenge for stroke sufferers because it limits them to move the member must make it able to rotate the device. Then the menu selection system needs to be made on the display that is able to make a sound to facilitate sufferers in communicating. Stroke sufferers have limitations to move members but can still move the two balls. This research was made to overcome their limitations by using the K-Nearest Neighbor classification method to classify the value of features resulting from ball motion detection using digital image processing with the face landmark method to convert eye areas and using the LBP method to extract features in the eye area. This system produces an accuracy of 100% and in dim lighting produces an accuracy of 60%, 20%, 100%, and 100% for moving the eyeball forward, right, left, and up. 100% accuracy results. The results of computational time are 399.7 ms, 398.4 ms, 398.4 ms, 396.8 ms for moving the eyeball forward, right, left, and up.
Purwarupa Perahu untuk Monitoring dan Klasifikasi Kualitas Air Bendungan dengan Metode K-Nearest Neighbor (KNN) Chikam Muhammad; Rizal Maulana; Mochammad Hannats Hanafi Ichsan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 2 (2020): Februari 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Water quality monitoring activities that most people do nowadays still using manual method and less effective. Rivers, dams, and reservoirs are objects that typically used for water quality monitoring activities. For dam monitoring activities, related parties need to manually monitor water quality at dams water inlet, midpoint and water outlet. because of this, a tool created for automatic water quality monitoring. A tool with five parameters, consisting of water depth sensor,turbidity sensor, water temperatur sensor, water pH sensor, and sensor TDS. The tool was created that can move to monitoring water. This research uses two microcontrollers for procesing purposes. Arduino nano for data acquisition while node MCU for k-NN classification method and sending five sensors data with the classification result to firebase. So it can displayed to user applications. The results of classification are three classes. Classes of “Good”, “Medium”, “Bad”. Amount of data used are 75 data, divided into 50 data for training data and then 25 data for test data. The result of k-NN classification test was 92% in accuracy with K = 5. And the computation time test was caried out ten times and the result system of 4135 ms.
Peringkasan Artikel Berbahasa Indonesia Menggunakan TextRank dengan Pembobotan BM25 Yurdha Fadhila Hernawan; Putra Pandu Adikara; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 13 (2020): Publikasi Khusus Tahun 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Untuk dipublikasikan di Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK)
Analisis Sentimen Berbasis Aspek pada Ulasan Pelanggan Restoran Bakso President Malang dengan Metode Naive Bayes Classifier Whita Parasati; Fitra Abdurrachman Bachtiar; Nanang Yudi Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 4 (2020): April 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Bakso President Malang is a restaurant that has been established since 1977. The number of competitors in the same industry makes Bakso President Malang highly appreciate the opinions of customers regarding the products and services they provide to increase customer satisfaction. However, Bakso President Malang does not have customer opinion data, nor does the application of technology in processing and analyzing data that can produce information about customer perspectives on customer satisfaction aspects. One way to get the perspective of customers of Bakso President Malang on aspects of customer satisfaction is through sentiment analysis conducted at the aspect level. The method used for sentiment analysis is classification using the Naive Bayes algorithm. This study uses 2,152 customer review data from 2012 to 2019. Customer review data is obtained through Web Scraping techniques on the TripAdvisor and Google Review sites. Sentiment analysis in each aspect produces an accuracy value of 88% in the Food aspect, 76% in the Service aspect, and 84% in the Atmosphere aspect. The results of the sentiment analysis classification are visualized in the form of a dashboard that is accompanied by a filter based on time, aspects, and sentiments.
Pengembangan Sistem Pengelolaan Berita Berbasis Web Pada Kanal Berita Online (Studi Kasus: Kanal24) Mochamad Dwi Fadly; Fajar Pradana; Lutfi Fanani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 3 (2020): Maret 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Online news channels are news channels that work presenting a story on the internet or online media. Kanal24, is an online news channel located in Malang which is part of the media owned by Universitas Brawijaya in addition to UB TV, UB Radio, and also UB Press. Currently, in carrying out its duties, Kanal24 has an editorial team consisting of Editor in Chief, Reporter, Editor, and Publisher. The news presented consists of several kinds of categories such as about campus, economics, sports, and others. In their task of managing news, the editorial team often has time efficiency issues, such as having to attend meetings in the morning to discuss media coverage and transfer of applications that they use when sending news files and to broadcast news. Some news files are still scattered on several personal devices owned by the editorial team. To overcome this problem, a news management system was developed which became a centralized system for the editorial team to complete their tasks from meetings to news ready to be aired. The system will be developed based on the web by having several features in the form of group chat meetings, assignment of coverage, managing drafts, managing news editing, news verification, news displaying, repositories of news files, and also presenting statistics on the quantity of readers of news that have been aired.

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