Article Per Year (5 Year)
p-Index From 2020 - 2025
19.311
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering Jurnal Ilmu Komputer dan Informasi Lontar Komputer: Jurnal Ilmiah Teknologi Informasi PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Ilmiah Kursor Jurnal Mahasiswa Jurusan Arsitektur Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Information Systems Engineering and Business Intelligence Jurnal Teknologi dan Sistem Komputer JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Nasional Teknik Elektro dan Teknologi Informasi Journal of Management Research and Studies
Fitra Abdurrachman Bachtiar
Fakultas Ilmu Komputer - Universitas Brawijaya
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Social Sciences

Published : 222 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 222 Documents
Search

 12   13   14   15   16 
Pengembangan Sistem Manajemen Bimbingan Skripsi Mahasiswa Berbasis Web (Studi Kasus : Fakultas Ilmu Komputer Universitas Brawijaya) Haryowinoto Rizqul Aktsar; Fajar Pradana; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 6 (2021): Juni 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

Undergraduate thesis writing process for college students at the Faculty of Computer Science (FILKOM) Brawijaya University is currently implemented by conducting thesis guidance directly or through the media provided by the lecturer. Several problems occur in the thesis writing process, such as the process of providing links and document access rights is done manually and inefficient which requires communication between lecturers and students. The increasing number of journals makes it difficult to find research references with the same discussion as the student thesis topic. Writing keywords experiencing errors due to human errors and keywords are also less than optimal because keywords are determined manually. In this study, a student thesis guidance manajemen system was developed which could facilitate students in conducting thesis guidance and assisting lecturers in manajemen student thesis guidance through one platform. This system utilizes several algorithms to obtain journal and keyword recommendations. These algorithms include preprocessing text, TF-IDF, and cosine similarity. The software development model used by this system is the waterfall model. Systems are tested using unit testing, validation, and compatibility. The results of validation testing conducted in all test cases give a value of 100% valid.
Analisis Sentimen Masyarakat terhadap Penggunaan Masker di Masa Pandemi Covid-19 berdasarkan Tweet menggunakan Metode SVM Ihza Razan Alghifari; Nanang Yudi Setiawan; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 13 (2021): Publikasi Khusus Tahun 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

Untuk dipublikasikan di Jurnal Sistem Informasi Bisnis (JSINBIS)
Klasifikasi Emosi Berdasarkan Ekspresi Wajah Menggunakan Metode Extreme Learning Machine dan Algoritme Genetika Untuk Seleksi Fitur Mufidatun Nuha; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 13 (2021): Publikasi Khusus Tahun 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

Emotion is a feeling of a person's feelings that can influence a person's decision to act and behave. The most recognizable and identifiable expressions of a person's emotions are facial expressions. Research related to emotion recognition based facial expressions is relatively new research and its application is comprehensive in various fields such as academia, industry, and government. Emotion recognition requires a classification method capable of recognizing the type of emotion of each facial expression and a feature selection method to select optimal features. Therefore, this study will classify emotions based on facial expressions by implementing the Extreme Learning Machine (ELM) method as a classification method and Genetic Algorithm (GA) to select the most optimal features. Based on implementation and analysis, the average accuracy by the ELM and Genetic Algorithm is 82,87879% with the number of generations = 22, population size = 70, crossover rate = 0,8, mutation rate = 0,2, and the number of hidden neurons = 40. These results were compared with the ELM method without Genetic Algorithm which implies an average accuracy of 72,12121%. The accuracy results obtained from the two methods show that the feature selection using Genetic Algorithm has succeeded in increasing the average accuracy generated by ELM by 10,75758%. Genetic Algorithm is moreover succeeded in selecting features with an average of 63 selected features from a total of 136 features.
Klasifikasi Ulasan Palsu menggunakan Borderline Over-sampling (BOS) dan Support Vector Machine (SVM) Aisyah Awalina; Fitra Abdurrachman Bachtiar; Indriati Indriati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 13 (2021): Publikasi Khusus Tahun 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

Untuk dipublikasikan di Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK)
Analisis Sentimen Aspek pada Opini Wisatawan menggunakan Metode Naive Bayes (Studi Kasus: Perum Perhutani) Fasya Ghassani Hadiyan; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 9 (2021): September 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

Perum Perhutani is a BUMN (Badan Usaha Milik Negara) whose business portfolio is managing and developing 768 ecotourism in Java and Madura. Perhutani has not been able to develop the tourism objects optimally due to the lack of data and information regarding tourist preferences about tourism objects despite the effort they have done. Sentiment analysis using Multinomial Naive Bayes was carried out to determine tourist preferences from three aspects of tourism objects managed by Perhutani. The three aspects are attractions, accessibilities, and amenities. Reviews obtained from TripAdvisor will be classified into three classes, namely positive, negative, and neutral. The purposes of this study are first, to find out the implementation results of Multinomial Naive Bayes in sentiment analysis process, second, to find out the values ​​of precision, recall, and f1, and lastly to know the results of usability testing from the dashboard. The results of the classification process for the attractions aspect is 69.89% of accuracy. As for accessibilities and amenities, the accuracy values ​​are 61.67% and 63.01% for each aspect. Information about of tourist sentiment is displayed on a dashboard which is then tested by Perhutani using SUS (System Usability Scale) and gets a score of 65. That result means the dashboard has “Good” rating and in range Marginal (High) for acceptability.
Hyper Sheets: Aplikasi E-Learning untuk Pembelajaran HTML dan CSS dengan menerapkan Konsep Gamification berbasis Web Ivqonnada Al Mufarrih; Fajar Pradana; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 10 (2021): Oktober 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

The Massive Open Online Course (MOOC), which was supposed to revolutionize the world of education, did not happen as expected. MOOC registrants who survive to complete the course are very low, only around 2-11% of the total registrants. After being researched, the registrant's motivation plays a significant role in keeping the registrant following the given course to completion. Gamification is present as a solution to this problem. Gamification is a concept that applies game elements to something that is not a game to increase participants' motivation and engagement. In the context of this research, it applies to learning. Based on data from the Bureau of Labor Statistics in America, Web Developer jobs are projected to increase by 8% or about 14,000 new jobs, exceeding the average for other jobs in 2019-2029. The World Wide Web Consortium also said that HTML and CSS are the core technologies in creating the web. In response to this problem, an e-learning application was created for learning HTML and CSS by applying the concept of gamification, which was eventually named Hyper Sheets. The hope is that this application can maintain or even increase student motivation. The three main features of this app are interactive materials, exercises, and challenges. In developing this application, the Waterfall model is used, which finally gets 13 functional requirements and 1 non-functional requirement. The tests were carried out on functional requirements, namely unit testing with white box testing techniques and integration testing along with validation testing with black box testing techniques. These functional requirement tests get 100% valid results. In non-functional testing, namely usability testing, using the SUS method ultimately resulted in a score of 81.55. This score belongs to the "Acceptable" category, which is satisfactory to the application users.
Klasifikasi Aktivitas Manusia menggunakan Algoritme Computed Input Weight Extreme Learning Machine dengan Reduksi Dimensi Principal Component Analysis M. Sofyan Irwanto; Fitra Abdurrachman Bachtiar; Novanto Yudistira
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 13 (2021): Publikasi Khusus Tahun 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

Untuk dipublikasikan di Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK)
Klasifikasi Ulasan Palsu pada Steam menggunakan Metode Support Vector Machine dengan Fitur Lexicon-based dan Pembobotan Kata TF-IDF Rafif Taqiuddin; Fitra Abdurrachman Bachtiar; Welly Purnomo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 13 (2021): Publikasi Khusus Tahun 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

Untuk dipublikasikan di KINETIK
Klasifikasi Emosi berdasarkan Ekspresi Wajah menggunakan Support Vector Machine dan Ekstraksi Fitur Local Binary Pattern Kurnia Fakhrul Izza; Fitra Abdurrachman Bachtiar; Novanto Yudistira
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 13 (2021): Publikasi Khusus Tahun 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

Untuk dipublikasikan di Jurnal Teknologi dan Sistem Komputer (JTSiskom)
Pengembangan Desain Antarmuka Pengguna e-Learning Pemrograman menggunakan Metode Rekayasa Kansei Kharis Alfian; Retno Indah Rokhmawati; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 10 (2021): Oktober 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

E-Learning technology has been widely used to support learning by various organizations and educational institutions, one of which is in learning programming. As one of the components of e-Learning technology, the user interface has an important role as the main means of accessing interaction between the system and the learner that can affect motivation, learning outcomes, and emotional conditions. In addition, it is known that many e-Learning products have been developed with more advanced technology, but pay less attention to the emotional aspects in their development so that they are not able to meet the tastes of learners and have an impact on comfort, age of use, and the success of learning objectives. Because of this background, research was conducted to find an overview of the programming user interface of e-Learning in accordance with the concept of the learner's emotions using the Kansei Engineering method so that the developed e-Learning interface can meet tastes, extend the life of e-Learning usage, and be able to provide user comfort in the process learn programming. Based on the test results, it is known that the interface developed using Kansei Engineering is able to provide comfort and convenience according to the concept of the learner's emotions as evidenced by user feedback and also usability testing on aspects of effectiveness of 93.125%, efficiency of 0.3 goals/second, and aspects of satisfaction using a questionnaire. System Usability Scale with a score of 76 which means good and acceptable.
Co-Authors AA Sudharmawan, AA Abidatul Izzah Abu Wildan Mucholladin Achmad Arwan Achmad Basuki Achmad Fahlevi Achmad Firmansyah Sulaeman Achmad Hanim Nur Wahid Achmad Ridok Adam Hendra Brata Adam Syarif Hidayatullah Adam Syarif Hidayatullah Adinugroho, Sigit Aditya Rachmadi Aditya Rachmadi, Aditya Admaja Dwi Herlambang, Admaja Dwi Admi Rut Sinana Afida, Latansa Nurry Izza Afifurrijal Afifurrijal Agus Wahyu Widodo Ahmad Afif Supianto Ahmad Afif Supianto Ahmad Afif Supianto Ahmad Afif Supianto Ahmad Fairuzabadi Ahmad Foresta Azhar Zen Aisyah Awalina Aisyah Awalina Aisyatul Maulidah Aisyatul Maulidah Akhmad Lazuardi Alaikal Fajri Nur Alfian Aldi Fianda Putra Alfi Nur Rusydi Alfin Taufiqurrahman Alfirsa Damasyifa Fauzulhaq Alhasyimi, Dana Mustofa Alifi Lazuardi Gunawan Amalia Kusuma Akaresti Andi Alifsyah Dyasham Anggit Chalilur Rahman Anita Rizky Agustina Anita Rizky Agustina Anjasari, Ni Luh Made Beathris Anjumi Kholifatu Rahmatika Annuranda, Ramansyah Eka Apriyanti -, Apriyanti Ardi Wicaksono ari kusyanti Arieftia Wicaksono Aulia Akhrian Syahidi Aulia Dewi Savitri Aulia Nurrahma Rosanti Paidja Aulia Septi Pertiwi Azhar Izzannada Elbachtiar Azzam Syawqi Aziz Baharudin Yusuf Widiyanto Barlian Henryranu Prasetio Bayu Aji Firmansyah Bayu Sutawijaya Benni A. Nugroho Bere, Stevania Biabdillah, Fajerin Bianca Pingkan Nevista Bintang Fajrianti Brahma Hanif Farhansyah Budi Darma Setiawan Budi Setiawan Cahya, Reiza Adi Cinthia Vairra Hudiyanti Dariswan Janweri Perangin-Angin Dary Ardiansyah Haryono Dea Zakia Nathania Dedi Romario Delpiero, Rangga Raditya Desy Setya Rositasari Dika Imantika Dimas Angga Nazaruddin Dinda Adimanggala Dito William Hamonangan Gultom Diva Fardiana Risa Diva Fardiana Risa Djoko Pramono Dona Adittia Dyah Ayu Wulandari Dyah Ayu Wulandari Dzar Romaita Eka Devi Prasetiya Eka Yuni Darmayanti Eko Laksono Eko Setiawan Elok Nuraida Kusuma Dewi Fabiansyah Cahyo Kuncoro Pradipta Faizatul Amalia Fajar Pradana Fajar Pradana Fajerin Biabdillah Faranisa, Puspa Ayu Fardan Ainul Yaqiin Farhan Setya Dhitama Farid Syauqi Nirwan Fasya Ghassani Hadiyan Fatwa Ramdani, Fatwa Ferdian Maulana Akbar Ferry Ardianto Rismawan Ficry Agam Fathurrachman Fikar Mukamal Gandhi Ramadhona Giga Setiawan Gregorius Dhanasatya Pudyakinarya Gultom, Dito William Hamonangan Gunawan, Alifi Habib Bahari Khoirullah Haikal, Raihan Hanif Prasetyo Maulidina Hanifah Khoirunnisak Hanifah Muslimah Az-Zahra Hanifah Muslimah Az-Zahra, Hanifah Muslimah Haryowinoto Rizqul Aktsar Hasyir Daffa Ibrahim Hayashi, Yusuke Herman Tolle Heryana, Ana Hirashima, Tsukasa Holiyanda Husada Hutamaputra, William Ihza Razan Alghifari Ikhsan Putra Arisandi Ikrom Septian Hadi Ilham Pambudi Imam Cholissodin Imam Cholissodin Imam Cholissodin Indra K. Syahputra Indra Kurniawan Syahputra Indriati Indriati Indriati Indriati Intan Yusuf Habibie Iqbal Taufiq Ahmad Nur Irfani, Ilham Irma Nurvianti Irwan Suprianto Issa Arwani Ivqonnada Al Mufarrih Joseph Ananda Sugihdharma Joseph Ananda Sugihdharma Julia Ferlin Kartiko, Erik Yohan Katrina Puspita Kevin Gusti Farras Fari' Utomo Kharis Alfian Kharis Alfian Kresna Hafizh Muhaimin Krisnabayu, Rifky Yunus Krisnandi, Dikdik Kuncahyo Setyo Nugroho Kurnia Fakhrul Izza Kusumo, R. Budiarianto Suryo Lailil Muflikhah Ludgerus Darell Perwara Luthfi Afrizal Ardhani M Reza Syahputra A M. Ali Fauzi M. Khusnul Azhari M. Raabith Rifqi M. Sofyan Irwanto Mar'i, Farhanna Marvel Timothy Raphael Manullang Mawarni, Marrisaeka Michael Stephen Lui Moch Irfan Prayudha Adhianto Mochamad Chandra Saputra Mochamad Havid Albar Purnomo Mochammad Dearifaldi Al Ikhsan Mochammad Dearifaldi Al Ikhsan Moh Iqbal Yusron Mufidatun Nuha Muh. Edo Aprillia Andilala Muhammad Ferdyandi Muhammad Ifa Amrillah Muhammad Tanzil Furqon Muhammad Taufik Dharmawan Muhammad Wafi Muhammad Wafi Muhammad Zulfikarrahman Nabila Leksana Putri Nabila Lubna Irbakanisa Nadifa, Rahajeng Mufti Nainggolan, Cesilia Natasya Nanang Yudi Setiawan Nanang Yudi Setiawan Nanang Yudi Setyawan Nanda Ajeng Kartini Nanda Samsu Dhuha Nasita Ratih Damayanti Naufal Fathirachman Mahing Nourman Hajar Novanto Yudistira Novi Sunu Sri Giriwati Novianti, Siska Nur Wahyu Melliano Hariyanto Nurafifah Alya Farahisya Nurul Hidayat Oddy Aulia Rahman Nugroho Okta Dwi Ariska Ovy Rochmawanti Pamungkas, Gilang Alif Pradana , Fajar Priyambadha, Bayu Pryono, Muhammad Adam Puras Handharmahua Putra Pandu Adikara Rafif Taqiuddin Rafif Taqiuddin Rafly, Andi Raga Saputra Heri Istanto Rahman, Rafli Rahmat Adi Setiawan Ramadhan, Muhammad Fitrah Randy Cahya Wihandika Randy Cahya Wihandika Ratih Kartika Dewi Refi Fadholi Rekyan Regasari Mardi Putri, Rekyan Regasari Mardi Renavitasari, Ivenulut Rizki Diaz Retno Indah Rokhmawati Retno Indah Rokhmawati, Retno Indah Revanza, Muhammad Nugraha Delta Reza Syahputra Rezka Aditya Nugraha Hasan Rezky Dermawan Rhobith, Muhammad Rian Nugroho Ridwan Adi Setiabudi Riski Darmawan Riza Setiawan Soetedjo Rizal Setya Perdana Rizkey Wijayanto Rizkia Desi Yudiari Rizky Adinda Azizah Rizky Muhammad Faris Prakoso Robi Dwi Setiawan Rona Salsabila Said Atharillah Alifka Alhabsyi Samuel Arthur Satrio A. Wicaksono Satrio Agung Wicaksono Satrio Agung Wicaksono Satrio Hadi Wijoyo Satrio Hadi Wijoyo Satyawan Agung Nugroho Satyawan Agung Nugroho Shinta Aprilisia Sifaunnufus Ms, Fi Imanur Sintiya, Karena Siswahyudi, Puad Siti Mutdilah Sofyanda, Erika Yussi Sri Wulan Utami Vitandy Sueddi Sihotang Sugihdharma, Joseph Ananda Sulandri Sulandri Sza Sza Amulya Larasati Taufik Hidayat Timothy Julian Titus Christian Ubaydillah, Achmad Afif Utaminingrum, Fitri Vasha Farisi Sarwan Halim Very Sugiarto, Very Vivy Junita Wahyu Ardiansyah, Mohammad Wahyu Satriyo Wibowo Wahyudi, Hafif Bustani Wayan F. Mahmudy Wayan Firdaus Mahmudy Welly Purnomo Whita Parasati Wicky Prabowo Juliastoro Windy Adira Istiqhfarani Wiratama Ahsani Taqwim Wirdhayanti Paulina Yoga Tika Pratama Yudi Muliawan Yuita Arum Sari Zainal Arifien Zayn, Afta Ramadhan