cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kota malang,
Jawa timur
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
 287   288   289   290   291 
Analisis Sentimen Berbasis Aspek Ulasan Pelanggan Terhadap Kertanegara Premium Guest House Menggunakan Support Vector Machine Wirdhayanti Paulina; Fitra Abdurrachman Bachtiar; Alfi Nur Rusydi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 4 (2020): April 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (877.03 KB)

Abstract

Kertanegara Premium Guest House is one of the inns in the city of Malang, located on Jl. Semeru No.59. Kertanegara is very aware of the importance of the existence of E-WOM (Electronic Word Of Mouth) for the continuity of its business. E-WOM can be disseminated through customer reviews. Kertanegara has two sources of customer reviews namely Guest Reviews and online reviews on the OTA (Online Travel Agent) site. At present, the process of processing customer reviews is still focused only on Guest Review. But on the other hand, Kertanegara also has a review on the OTA website that needs to be processed because 90 percent of the booking process comes from the OTA website. One method that can be used to analyze and process the review text is sentiment analysis. Sentiment analysis is carried out at the aspect level to determine services and aspects that have negative or positive polarity using the Support Vector Machine (SVM) and Term Weighting (TF-IDF) methods. The review text data used in the Indonesian language comes from the sites of Agoda.com, Expedia, Pegi-Pegi, Booking.Com, TripAdvisor and has a timeline from 2012 to 2019. Testing the classification results produce an average Accuracy value above 70%. The results of the analysis are then visualized through a dashboard by displaying 6 important components so that it can assist Kertanegara in taking strategic steps to fix, improve and improve services that have negative polarity.
Implementasi Inverse Kinematics Pada Robot Lengan Untuk Pengambilan Benda Dengan Koordinat Awal Acak Ricky Zefani Aria Zurendra; Rizal Maulana; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 2 (2020): Februari 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (879.982 KB)

Abstract

The increasing of enthusiasts in e-commerce activities have increased the flow of incoming and outgoing goods in storage areas. The storage activity certainly requires a considerable amount of time and energy so a system is needed to retrieve and place items automatically. This system is equipped with a Raspberry Pi Rev1.3 camera as a room camera that is capable of taking object pictures underneath. The camera integrates with the Raspberry Pi 3 as a processing unit so the types and initial coordinates of objects can be recognized by the system. Both of the object's information will be sent to the OpenCM 9.04 microcontroller as a parameter to place the object into the specified location. Objects displacement was carried out using a 3 DoF robot arm composed by five Dynamixel AX-12A servo motors, three servo motors as determinants of system motion and the remaining two were used to grip objects. The movement of the 3 DoF robot arm is based on the calculation of objects coordinate by using inverse kinematics method to produce angular values for the three servo motors. The testing results of the inverse kinematics method on this system's robot arm movement has an error percentage of 10.10%. As for overall testing, out of 40 tests, this system has a 95% success rate with an average computation time of 8.446 seconds.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (472.804 KB)

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.
Evaluasi Tingkat Kapabilitas Proses Pengembangan Perangkat Lunak menggunakan CMMI-DEV dengan metode SCAMPI C (Studi pada Profile Image Studio) Mei Rinda Septi Hapsari; Yusi Tyroni Mursityo; Widhy Hayuhardhika Nugraha Putra
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 13 (2020): Publikasi Khusus Tahun 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Untuk dipublikasikan di Systemic: Information System and Informatics Journal
Analisis Sentimen Mass Rapid Transit Jakarta dengan Naive Bayes Classifier dan Deteksi Target Opini Berbasis Aturan pada Twitter Dhanika Jeihan Aguinta; 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

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Untuk dipublikasikan di 5th International Conference on Sustainable Information Engineering and Technology (SIET)
Pengembangan Aplikasi Mobile Pendeteksi Penyakit Pada Tanaman Cabai Dengan Menggunakan Ximilar Custom Image Recognition (Studi Kasus: Balai Pengkajian Teknologi Pertanian, Kecamatan Karangploso, Kota Malang) Zain Fikri Hanastyono; Issa Arwani; Handoko Handoko
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 4 (2020): April 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (365.677 KB)

Abstract

Tanaman cabai merupakan tanaman sayuran buah yang sangat penting dan memiliki nilai ekonomis yang tinggi. Berdasarkan data dari Direktorat Jenderal Hortikultura Kementrian Pertanian produksi tanaman cabai sendiri mengalami peningkatan dan termasuk komoditas yang berkontribusi tinggi di Indonesia. Meskipun produksi tanaman cabai meningkat namun pada kenyataan di lapangan petani cabai mengalamai beberapa kendala, salah satu kendala tersebut adalah kurangnya pengetahuan mengenai penyakit pada tanaman cabai yang meliputi gejala, cara pengendalian, dan pestisida yang digunakan. Kemajuan teknologi memberikan banyak peluang untuk menyelesaikan permasalahan manusia. Penulis memanfaatkan peluang untuk mengembangkan aplikasi yang dapat membantu menyelesaikan permasalahan petani tanaman cabai mengenai pendeteksian penyakit pada tanaman cabai. Aplikasi yang dikembangkan memanfaatkan teknologi perangkat mobile yang ada saat ini. Layanan untuk melakukan pengidentifikasian penyakit tanaman cabai menggunakan Ximilar Custom Image Recognition yang merupakan web service pengenalan gambar. Fitur yang ada pada aplikasi disesuaikan dengan kebutuhan pengguna dengan menerapkan metode prototyping. Aplikasi dikembangkan pada platform Android dengan menggunakan bahasa pemrograman Java dan menggunakan design pattern Model-View-ViewModel. Hasil pengujian akurasi aplikasi ini adalah 87,5%.
Prediksi Harga Emas Dengan Menggunakan Metode Average-Based Fuzzy Time Series Muhammad Riduan Indra Hariwijaya; Muhammad Tanzil Furqon; Candra Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 4 (2020): April 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (693.79 KB)

Abstract

Gold is a type of precious metal that has economic value and is often used for investmentl. Demand for gold increases from year to year, because many people already know that gold can be used as a safe haven. Safe haven is ownership in the form of investment assets that have a risk in low level, so that it becomes a protector of assets. Behind the benefits of gold, many investors discourage their investment because they are afraid of being cheated and cannot predict the increase or decrease in gold prices. Therefore we need a prediction of gold prices for investors to avoid losses when they want to invest in gold. One prediction method is Average-Based Fuzzy Time Series with the advantage to determine the interval effectively, the interval formed implements Average-based length so that it can increase the accuracy of the resulting prediction. The Average-Based Fuzzy Time Series implements fuzzy logic principles for the process of making predictions, such as fuzzy set, degree of membership, fuzzification, and defuzzification. The data used are daily gold prices taken from the official website of Logam Mulia with 2700 data with a time span from January 2010 to December 2019. The best error value MAPE obtained in the study was 0.34216% and included in the very criteria good because it's under 10%. Based on research conducted, the Average-Based Fuzzy Time Series method is good for predicting gold prices.
Implementasi Teknologi Restful Web Service Dalam Pengembangan Sistem Informasi Perekaman Prestasi Mahasiswa Berbasis Website (Studi Kasus: Fakultas Teknologi Pertanian Universitas Brawijaya) Wiku Galindra Wardhana; Issa Arwani; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 2 (2020): Februari 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1010.179 KB)

Abstract

Besides being demanded by experts in the academic field, students are also required to have achievements. The Faculty of Agricultural Technology Brawijaya University seeks to to give recognition of the achievements of its students by recording student achievements. However, the recording of these achievements can not be done optimally because it is still done manually. Therefore, an information system that can record student achievement at the Faculty of Agricultural Technology is needed with the aim to facilitate the collection of student achievement data. This system was developed on a website platform with RESTFUL web service technology. System development is done by prototyping method that starts from the requirement analysis. Next, a prototype system was made and an evaluated by the head of the information system planning and public relation Faculty of Agriculture Technology. From the evaluation results were carried out repairs and re-prototype presentations until the prototype was approved. The results of the requirement analysis are illustrated by use case diagram, use case scenario, and activity diagram. The system design are illustrated by sequence diagram, class diagram, and physical data model. The website implementation uses the Laravel framework and the REST API implementation uses the Lumen framework. Then the system is tested using blackbox testing with a percentage of test results is 100% which indicates the system complies with specifications. In addition, usability testing was done using the System Usability Scale with a value of 78. Based on the values obtained, the system categorized on Good category with C on value scale and the acceptability range is on Acceptable category.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (364.236 KB)

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.
Pengembangan Sistem Informasi Kredit Prestasi Berbasis Web (Studi Kasus: Fakultas Ekonomi dan Bisnis Universitas Brawijaya) Aditya Yusril Fikri; Achmad Arwan; Faizatul Amalia
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 4 (2020): April 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (758.871 KB)

Abstract

The Faculty of Economics and Business Universitas Brawijaya (FEB UB) is one of the several faculties in Universitas Brawijaya. Every extracurricular and non-curricular activities at FEB UB need to be given awarding credit unit points (SKP) as motivation for students to improve their soft skills. To get SKP points, students must follow the activities of student institutions. There are problems that occur in the activities of student institutions namely the process of proposing proposals and LPJ activities. Students must come face to face with student staff to request the approval process. So students are constrained in the process of submitting activities. Student staff had difficulty in recording the process of submitting activities because the data was scattered in several files and made it difficult for student staff to recapitulate activities. Therefore a research on the development of an achievement credit system was conducted to overcome these problems. Development of a credit system for achievement applying the waterfall model method. the stages of system development starting from the study of literature, requirements engineering, design, system implementation to testing. Based on research conducted elicitation results obtained in the form of 9 types of actors, 55 functional needs and 1 non-functional needs. For the design produces architectural design, components, databases and interfaces, then carried out implementation. The achievement credit system is then carried out by white box testing in unit testing and integration while for black box testing in validation testing with 100% worth of test results. In addition, compatibility testing is performed on Firefox, Chrome, Opera, Edge, Internet Explorer, and Safari browsers.

Page 289 of 698 | Total Record : 6972

 287   288   289   290   291 

Filter by Year

2017 2026


Reset
Filter By Issues
All Issue Vol 10 No 13 (2026): Publikasi Khusus Tahun 2026 Vol 10 No 01 (2026): Januari 2026 Vol 10 No 4 (2026): April 2026 Vol 10 No 3 (2026): Maret 2026 Vol 10 No 2 (2026): Februari 2026 Vol 9 No 13 (2025): Publikasi Khusus Tahun 2025 Vol 9 No 12 (2025): Desember 2025 Vol 9 No 11 (2025): November 2025 Vol 9 No 10 (2025): Oktober 2025 Vol 9 No 9 (2025): September 2025 Vol 9 No 8 (2025): Agustus 2025 Vol 9 No 7 (2025): Juli 2025 Vol 9 No 6 (2025): Juni 2025 Vol 9 No 5 (2025): Mei 2025 Vol 9 No 4 (2025): April 2025 Vol 9 No 3 (2025): Maret 2025 Vol 9 No 2 (2025): Februari 2025 Vol 9 No 1 (2025): Januari 2025 Vol 8 No 13 (2024): Publikasi Khusus Tahun 2024 Vol 8 No 10 (2024): Oktober 2024 Vol 8 No 9 (2024): September 2024 Vol 8 No 8 (2024): Agustus 2024 Vol 8 No 7 (2024): Juli 2024 Vol 8 No 6 (2024): Juni 2024 Vol 8 No 5 (2024): Mei 2024 Vol 8 No 4 (2024): April 2024 Vol 8 No 3 (2024): Maret 2024 Vol 8 No 2 (2024): Februari 2024 Vol 8 No 1 (2024): Januari 2024 Vol 7 No 13 (2023): Publikasi Khusus Tahun 2023 Vol 7 No 9 (2023): September 2023 Vol 7 No 8 (2023): Agustus 2023 Vol 7 No 7 (2023): Juli 2023 Vol 7 No 6 (2023): Juni 2023 Vol 7 No 5 (2023): Mei 2023 Vol 7 No 4 (2023): April 2023 Vol 7 No 3 (2023): Maret 2023 Vol 7 No 2 (2023): Februari 2023 Vol 7 No 1 (2023): Januari 2023 Vol 7 No 14 (2023): Antrian Publikasi Vol 6 No 13 (2022): Publikasi Khusus Tahun 2022 Vol 6 No 12 (2022): Desember 2022 Vol 6 No 11 (2022): November 2022 Vol 6 No 10 (2022): Oktober 2022 Vol 6 No 9 (2022): September 2022 Vol 6 No 8 (2022): Agustus 2022 Vol 6 No 7 (2022): Juli 2022 Vol 6 No 6 (2022): Juni 2022 Vol 6 No 5 (2022): Mei 2022 Vol 6 No 4 (2022): April 2022 Vol 6 No 3 (2022): Mei 2022 Vol 6 No 2 (2022): Februari 2022 Vol 6 No 1 (2022): Januari 2022 Vol 5 No 13 (2021): Publikasi Khusus Tahun 2021 Vol 5 No 12 (2021): Desember 2021 Vol 5 No 11 (2021): November 2021 Vol 5 No 10 (2021): Oktober 2021 Vol 5 No 9 (2021): September 2021 Vol 5 No 8 (2021): Agustus 2021 Vol 5 No 7 (2021): Juli 2021 Vol 5 No 6 (2021): Juni 2021 Vol 5 No 5 (2021): Mei 2021 Vol 5 No 4 (2021): April 2021 Vol 5 No 3 (2021): Maret 2021 Vol 5 No 2 (2021): Februari 2021 Vol 5 No 1 (2021): Januari 2021 Vol 5 No 13 (2021) Vol 4 No 13 (2020): Publikasi Khusus Tahun 2020 Vol 4 No 12 (2020): Desember 2020 Vol 4 No 11 (2020): November 2020 Vol 4 No 10 (2020): Oktober 2020 Vol 4 No 9 (2020): September 2020 Vol 4 No 8 (2020): Agustus 2020 Vol 4 No 7 (2020): Juli 2020 Vol 4 No 6 (2020): Juni 2020 Vol 4 No 5 (2020): Mei 2020 Vol 4 No 4 (2020): April 2020 Vol 4 No 3 (2020): Maret 2020 Vol 4 No 2 (2020): Februari 2020 Vol 4 No 1 (2020): Januari 2020 Vol 3 No 12 (2019): Desember 2019 Vol 3 No 11 (2019): November 2019 Vol 3 No 10 (2019): Oktober 2019 Vol 3 No 9 (2019): September 2019 Vol 3 No 8 (2019): Agustus 2019 Vol 3 No 7 (2019): Juli 2019 Vol 3 No 6 (2019): Juni 2019 Vol 3 No 5 (2019): Mei 2019 Vol 3 No 4 (2019): April 2019 Vol 3 No 3 (2019): Maret 2019 Vol 3 No 2 (2019): Februari 2019 Vol 3 No 1 (2019): Januari 2019 Vol 2 No 12 (2018): Desember 2018 Vol 2 No 11 (2018): November 2018 Vol 2 No 10 (2018): Oktober 2018 Vol 2 No 9 (2018): September 2018 Vol 2 No 8 (2018): Agustus 2018 Vol 2 No 7 (2018): Juli 2018 Vol 2 No 6 (2018): Juni 2018 Vol 2 No 5 (2018): Mei 2018 Vol 2 No 4 (2018): April 2018 Vol 2 No 3 (2018): Maret 2018 Vol 2 No 2 (2018): Februari 2018 Vol 2 No 1 (2018): Januari 2018 Vol 2 No 8 (2018) Vol 2 No 6 (2018) Vol 1 No 12 (2017): Desember 2017 Vol 1 No 11 (2017): November 2017 Vol 1 No 10 (2017): Oktober 2017 Vol 1 No 9 (2017): September 2017 Vol 1 No 8 (2017): Agustus 2017 Vol 1 No 7 (2017): Juli 2017 Vol 1 No 6 (2017): Juni 2017 Vol 1 No 5 (2017): Mei 2017 Vol 1 No 4 (2017): April 2017 Vol 1 No 3 (2017): Maret 2017 Vol 1 No 2 (2017): Februari 2017 Vol 1 No 1 (2017): Januari 2017 More Issue