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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 34 Documents
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Search results for , issue "Vol 4 No 3 (2020): Maret 2020" : 34 Documents clear
Pengembangan Sistem Informasi Pencatatan dan Pelaporan Gizi Balita Timothy Julian; Fajar Pradana; Fitra Abdurrachman Bachtiar
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

Posyandu is a health service facility that has the objective to provide health services for the local society, especially for mothers, babies, and toddler. However, based on the interview with one of the nutrition lecturers from FK UB, and with the midwife in charge at Krebet Village, Malang Regency, followed by observation on one of the Posyandu at Krebet Village, Malang Regency, there were several problems found at the Posyandu and on the midwife itself. Because of the process of recording of the health services at the Posyandu is still done manually, and still using many different documents, making the process of recording and making nutrition reports by the midwife vulnerable to mistakes and inorganization. This problem can lead to more mistakes, like for the children's health indication mistake in that area. To solve this problem, a web-based information system using waterfall SDLC and object-oriented approach was developed. On the requirements analysis phase, produced 4 actors, 33 functional requirements, and 1 non-functional requirements. From the results the requirements analysis phase, the design and implementation process using object-oriented approach carried out. The testing phase conducted using validation testing got the score of 100 % valid, as well as the user acceptance test (UAT) to 5 users got the score of 97.1 % acceptance rate, which means that the users strongly agrees to the system that has been made.
Evaluasi dan Desain Perbaikan Antarmuka Pengguna Pada Situs Web Funtech Plaza Menggunakan Metode Goal-Directed Design (GDD) Panji Wicaksono; Retno Indah Rokhmawati; 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

Funtech Plaza is one of the technology-themed tourist attractions that is part of East Java Park 3. Funtech Plaza has a website that has plain-looking design problems and less informative content that requires improvements in terms of user interface and information architecture. The method used in this study is the Goal-Directed Design that is used to design websites in accordance with the goals of the user and to support the business goals of an organization. The Goal-Directed Design method consists of 6 phases. In this study only used 5 phases because it did not reach the implementation phase. In this study, interviews were conducted, to find out website problems, evaluations using the SUS questionnaire, identify content requirements, and make website prototypes. The results of the SUS test on the evaluation get an average value of 44 while the SUS test on the final evaluation gets an average value of 86.5 so that there are improvements in terms of acceptability ranges, grade scale, adjective ratings, and percentile ranks. From the results of user testing get more positive values ​​than negative values, so it can be concluded that there is an increase in the value of user satisfaction with the Funtech Plaza website.
Analisis Sentimen Mengenai Produk Toyota Avanza Menggunakan Metode Learning Vector Quantization Versi 3 (LVQ 3) dengan Seleksi Fitur Chi Square, Lexicon-Based Features serta Normalisasi Min-Max Jonathan Reynaldo; Putra Pandu Adikara; Randy Cahya Wihandika
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

Car is a means of transportation used by peoples with some excellence and comfort values for better driving experience. Toyota as the manufacturer of Toyota Avanza needs people's opinions to upgrade their products. Opinions from social media need to be classified as positive, neutral or negative opinions so sentiment analysis is needed. For analyzing a sentiment, Learning Vector Quantization 3 (LVQ 3) is used in this research. Chi Square feature selection, lexicon-based features and min-max normalization are used in this research too. Evaluation using confusion matrix with 240 training data and 60 testing data results the accuracy of 38,33% using features from Chi Square feature selection, 33,33% using lexicon-based features, and 36,67% using both of Chi Square feature selection and lexicon-based features.
Analisis Sentimen Layanan Astra Honda Motor Menggunakan Metode Naive Bayes dan Identifikasi Aspek pada Layanan Menggunakan DBSCAN Naufal Akbar Eginda; Putra Pandu Adikara; Randy Cahya Wihandika
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

In today's era, transportation is one of the most vital needs. according to BPS Indonesia (badan pusat statistik) in 2017, motorbikes are the most owned form of transportation in Indonesia. one of the most commonly used motorbike brand is honda. astra honda motor provides a range of services available to its customers. of all their services, honda's customers would surely have a number of opinions or feedbacks regarding their services, whether they are positive or negative. in order to classify and identify aspects of the public opinion, naive bayes with lexicon-based features are implemented to classify them and dbscan is implemented to cluster them by taking the top 3 terms generated from each document. the dataset used in this paper consists of 100 datas divided into an equal set of each class, and 25 datas for testing in which 13 are classified positive and 12 are negative. the result of the classification process applying naive bayes with lexicon-based features is a precision value of 53%, recall of 63%, f-measure of 58% and 60% of accuracy. While, the result of the aspect identification came down to 41,4% for precision, 80,5% for recall, 54,6% for f-measure and a mere 37,6% for its accuracy level. as for the cluster evaluation with silhouette coefficient, the best parameter values using dbscan is an epsilon of 0.1 along with minpts of 1.

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