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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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Pengelompokan Wilayah Berdasarkan Kesejahteraan Sosial Menggunakan Algoritme Self-Organizing Maps Dengan Perbaikan Missing Value K-Nearest Neighbors Dese Narfa Firmansyah; Sigit Adinugroho; Bayu Rahayudi
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

Persons with Social Welfare Problems (PMKS) are social groups that live below the community welfare line and are one of component for determining policies in East Java. The study aim to find out the characteristics of the region in East Java based on the PMKS dataset. The method proposed in this study is clustering with the Self-Organizing Maps algorithm and K-Nearest Neighbors (KNN) missing value imputation. KNN used to overcome the amount of missing value in PMKS dataset. First, missing value is filled using KNN imputation. Furthermore, the clustering done with training in SOM network and the result of cluster is evaluated using Silhouette Coefficient. The best parameters for SOM are learning rate=0.1; neighborhood coefficient=0.2; max epoch=160 and neuron size=2x2. The best parameter for KNN is K=2. K=2 gives an increase in Silhouette Coefficient value of 3.4% compared to clustering without missing value imputation KNN. Using best parameter, the highest Silhouette Coefficient obtained is 0.351 which categorized as weak structure. The shape of the cluster produced is a cluster with a proportion of 1:37. The five attributes with the highest difference between the two clusters were Neglected Elderly, Homeless and Psychotic Homeless, Scavengers, Beggars and Minority Groups.
Kualitas Interaksi Multi Arah pada Pembelajaran Berbantuan Edmodo untuk Mata Pelajaran Komputer dan Jaringan Dasar (Studi pada Kelas X Jurusan Teknik Komputer dan Jaringan SMK Negeri 3 Malang) Intan Kikis Sahara; 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

Learning is a combination of teaching and study activities that involve an active interaction between the teacher and students so that the specified goals are achieved. However, there are problems when implementing learning in class X of the Department of Computer and Network Engineering at Vocational High School 3 of Malang that is the lack of quality of multi-direction interaction caused by the limited frequency of time teachers teach directly in the classroom and students passively ask questions during learning. The population in this research were all grade X students the Department of Computer and Network Engineering in the 2018/2019 academic year who were attending Computer and Basic Networking subjects with a total of 71 students. The sampling technique used in this research is the saturated sampling technique because all members of population are made into a research sample consisting of 35 students of class X TKJ 1 and 36 students of class X TKJ 2. In this research using data collection techniques in the form of observation, interviews, and questionnaires. This research compares between conventional learning models and blended learning models with Edmodo aims to improve the quality of multi-directional interaction. The type of weak experimental research using a static-group pretest-posttest design was used in this research. Based on the results of hypothesis testing, the researchers found that there was a significant difference in the quality of multi-direction interaction between the blended learning classes with Edmodo compared to the conventional learning classes based on evidence from the results of the t-test.
Klasifikasi Genre Lagu dengan Fitur Akustik Menggunakan Metode K-Nearest Neighbor Husein Abdulbar; Putra Pandu Adikara; Sigit Adinugroho
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

Song cannot be separated from humans daily activities. When listening to songs humans can focus more on their activities. The rapid development of information on multimedia and electronic devices has led to a dramatic increase in music appreciation and creation. On the one hand this increase encourages people to enjoy songs more. But on the other hand, this increase forced the development of new technologies for the convenience of listening to songs. An example is how someone wants to find a song based on a song that has been heard. Genres classification is one of machine learning techniques that can group songs based on their usefulness. This technique can be used as a function in a system to support other functions, such as song recommendations, special word, or similar song searches. This study will use the K-Nearest Neighbor (K-NN) method as a genre classification technique for songs. To measure the similarity of two songs, a normalized cross correlation (NCC) equation is used to replace the distance calculation equation in the K-NN method. The features that extracted from a song are zero crossing rate, spectral centroid, spectral rolloff, and energy. Data obtained from feature extraction will be normalized using the z-score equation. The test results show that the best evaluation is obtained when the duration is 10, the offset is 120, and K in K-NN is 10. Precision, recall, and f-measure that obtained in this study are precision with a value of 0.637, recall with a value of 0.633, and f-measure with a value of 0.635.
Pengembangan Sistem Informasi Manajemen Laboratorium Studi Kasus Laboratorium Mikrobiologi Fakultas Teknologi Pertanian Universitas Andalas Padang Fadila Arisha; Adam Hendra Brata; Eriq Muhammad Adams Jonemaro
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 1 (2020): Januari 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The Microbiology Laboratory is one of the laboratories at the Faculty of Agricultural Technology, Andalas University. The laboratory has a technical person in charge of managing the laboratory, namely laboratory staff. In general, laboratory management is tasked with serving laboratory lending for research and practicum, purchasing chemicals, and managing the inventory of laboratory equipment and materials. Problems that arise are the accumulation of research proposals in the laboratory, inaccurate information on the stock of equipment and materials and broad access to information, data collection in scheduling research and transactions that have not been organized, and the absence of information on the presence of institutions. Based on these problems, one of the efforts that can be done is to build a management information system that helps resolve these problems and increase efficiency in activities. Testing is required through three stages of testing, namely unit testing and integration testing with the white box method, and validation testing with the black box method. Performance testing is used to test non-functional requirements from the aspect of efficiency by comparing load time to the time needed before the system is implemented. This research resulted in a microbiology laboratory management information system in the form of a website and test results. In unit tests, validation and integration have a 100% valid success rate. Performance testing also shows valid results. Implementation of the system produces time efficiency 20 times faster than before the system was used.
Klasifikasi Penyimpangan Tumbuh Kembang Anak Menggunakan Algoritme C5.0 Dyah Ayu Wahyuning Dewi; Imam Cholissodin; Sutrisno Sutrisno
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 10 (2019): Oktober 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Developmental deviation of the child's development is a disruption of the process of growth and development resulting in the child experiencing a phase that is inhibited compared to other normal children. If it is not immediately treated, it is feared that the developmental deviation of the child's growth will be increasingly difficult to handle. For that we need the awareness of parents to immediately check the condition of the child at the doctor, in order to alleviate these irregularities. However, the number of patients is not proportional to the number of doctors available. Lack of doctors can result in slow handling of patients. To deal with this, a system of diversification of child growth and development was made using the C5.0 algorithm. In this study will be classified into three types of developmental deviations of children, namely autism, down syndrome, and ADHD (Attention Deficit Hyperactivity Disorder). C5.0 algorithm is one of the decision tree algorithms and is a development of C4.5. The difference in C4.5 and C5.0 is that in the C5.0 algorithm there is a boosting process, so that it can provide better accuracy than the C4.5 algorithm. From the research that has been done, the average value of accuracy in testing the amount of training data is 95.9%, the average accuracy in testing the number of trials is 97.3%, and the comparison testing of C4.5 and C5.0 results in accuracy at C5.0 is 93.33% while the accuracy at C4.5 is 87.61%. The things that affect the accuracy value are the large amount of data, and the number of trials used.
Klasifikasi Hasil Belajar Peserta Didik Pada Jurusan Teknik Komputer dan Jaringan (TKJ) di SMK Negeri 3 Malang Menggunakan Algoritme Naive Bayes Ricky Gunawan; Satrio Hadi Wijoyo; Satrio Agung Wicaksono
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

This research is based on the results of observations and interviews with teachers, the limitations of the teacher in recognizing and analyzing factors that can influence student achievement and student achievement. Based on these conditions, this study aims to use the Naive Bayes algorithm to classify the performance of students from the Department of Computer and Network Engineering at Vocational High School 3 Malang, and to assess the accuracy of Naive Bayes algorithm at the Classification of student performance in the Department of Computer and Network Engineering at SMK Negeri 3 Malang. Research developed based on preliminary research is the classification of performance of students from the Department of Computer and Network Engineering at the vocational school 3 Malang, which is divided into three categories, Very Good, Good and Enough. The student data used in this study are from SMK Negeri 3 Malang students. The data obtained was 63 student attributes used in this study and 10 and 1 attribute for output from the classification. The results of the accuracy test of the training data test using the Naive Bayes classification with differences in the training data showed the results of a fixed accuracy of 70%. For tests with differences in test data, an accuracy of 80% and 70% is displayed with an average accuracy of 75%. On a system that is also applied, the naive bayes classification gets 90% accuracy because all records are used for the training data.
Pengembangan Sistem Informasi Geografis Penanganan Bencana berbasis Website di Kota Malang Galih Alhakim; Fatwa Ramdani; Welly Purnomo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 10 (2019): Oktober 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Throughout 2019, until the end of October, BPBD of Malang City had recorded more than 184 disaster events, where the most frequent disasters were fires, landslides, fallen trees, puddles, earthquakes, and strong winds. The BPBD of the city of Malang also reported that during January - October the total damage and losses from the disaster were not less than Rp.10,695 billion. Lack of awareness of citizens about pre-disaster management and late reporting of disasters when disasters occur cause damage and losses that are caused to be very large. Based on these problems, the application of disaster management and reporting is needed so that people can report disaster events early so that they can reduce the risk of loss of life and property damage. The developed application must be easy to access and have an interface that makes it easy for the general public when accessing it. In developing this application, the writer uses the Waterfall methodology, the purpose is to use this methodology to work on applications that will be made based on the stages that have been previously designed. To make it easier to accommodate the modeling needs, the design of this application will be made in an object oriented manner and using an online map library to facilitate mapping of disaster data. In the process of implementation, the authors develop a website using the Codeigniter framework and a javascript-based online map library that is leafletjs and also google maps. Furthermore, the authors will test the application using White-Box Base-Path-Testing, and Black-Box Testing to determine the level of success of the implementation as well as testing the accuracy to find out how much the accuracy of a location from online maps compared with standard commercial GPS equipment. Based on the results of the study, it is known that the development of a geographic information system application based on website disaster management can accommodate existing engineering needs. And the results of the accuracy of GPS maps online with commercial GPS produces an average error margin of 39.7860457. The results of the design and implementation that have been carried out are proven to have an effect on making it easier for the community to submit disaster reporting.
Evaluasi Penerimaan Pengguna Sistem Informasi Kesehatan Pada Poliklinik Universitas Brawijaya Menggunakan Model Unified Theory of Acceptance and Use of Technology (UTAUT) Vikry Aghnas Saharja; 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

This research aims to determine the level of acceptance of users of health information systems at the UB Polyclinic. This research was conducted using the Unified Theory of Acceptance and Use of Technology (UTAUT) model. This research was conducted by distributing questionnaires using 34 respondents' data using purposive sampling. Data collection is done by distributing questionnaires to users of health information systems. Furthermore, the data were analyzed using descriptive statistical analysis. The results of the descriptive analysis on the performance expectancy variables are in the very high category (89.7%), effort expectancy is in the very high category (86.9%), social influences fall into the high category (78.97%), while facilitating conditions enter in the very high category (80.29%). Based on the values obtained by the social influence variable and Facilitating conditions, it is a priority to be given recommendations for improvement
Prediksi Laju Pertumbuhan Penduduk Menggunakan Metode Support Vector Regression (Studi Kasus: Kota Malang) Arynda Kusuma Dewi; Muhammad Tanzil Furqon; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 1 (2020): Januari 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Population growth rate is a changes population every year in a region. The high population growth rate in Indonesia is something important because it has impact on the economic, social, politic and national defense. Therefore, related parties such as Dinas sosial and BKKBN analyze the factors which related with population growth rate, so it can make some policies to realize balance of population growth. Beside that, population growth prediction is also used by Dispendukcapil to make other budget plans and other needs. In this study, population growth rate is predicted using Support Vector Regression method by comparing the performance of linear kernels with Gaussian kernel RBF used population growth dataset time series in March 2013 until December 2018. The steps to predict population growth rate begin with data normalization, SVR training to get the update lagrange multiplier value and SVR testing to get prediction results and error rates using MAPE. The test results obtained by the MAPE value using a linear kernel 0.0985% and 0.38192% using the Gaussian RBF kernel.
Analisis Pengaruh Penerapan Ujian Online bagi Siswa menggunakan Technology Acceptance Model (TAM) (Studi Pada SMK Nasional Malang) Fakhrizal Arif Pratidina; Retno Indah Rokhmawati; Faizatul Amalia
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

Current technological advances in exams have used CBT (Computer Based Test) in implementation. National Malang Vocational School is one of the schools that have utilized CBT (Computer Based Test) during the Semester Exams, Final Semester Exams and National Exams. This study used the Technology Acceptance Model to determine the acceptance of an information technology. This model aims to measure how Malang National Vocational School students receive CBT as a method of conducting exams which sometimes still have some problems. To be able to measure it used 7 variables, namely Subjective Norm, Self-efficacy, Perceive Ease of Use, Perceived Usefulness, Technology Innovativeness, Behavioral Intention, Actual Behavior. The data were collected from students of the X and XI Malang National Vocational High Schools with information technology majors and obtained 52 respondents through questionnaires given after the Semester Final Examination was completed. The results of this study indicate that there are other individual influences, self-confidence can influence students' attitudes towards ease of use and benefit of the system. There is no influence between perceptual variables Perceive Ease Of Use towards the variable perception of the usefulness of Perceived Usefulness. Technology innovativeness strengthens the positive influence between Perceive Ease Of Use variables on the variable desire to perform Behavioral intention..

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