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All Journal International Journal of Electrical and Computer Engineering Jurnal Ilmu Komputer dan Informasi Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Jurnal Neutrino : jurnal fisika dan aplikasinya Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) 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) International Journal of Artificial Intelligence Research 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 Lontar Komputer: Jurnal Ilmiah Teknologi Informasi
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 Library & Information Science Physics Social Sciences

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Automatic Speech Recognition Bahasa Indonesia menggunakan Unidirectional Gated Recurrent Unit Bayu Aji Firmansyah; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 12 (2021): Desember 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Speech recognition research with end-to-end model-based bidirectional RNN approach still has the constraint on high latency. speech recognition model which was built using end-to-end models still have some problems at error spelling. Also, speech recognition model is very sensitive to dialecta and types of equipment recorder speakers. This work will examine the behavior of the network in studying the acoustic features based on gradient and loss with the use of unidirectional base GRU CTC which has lower cost of computation compared to the base bidirectional RNN CTC. This study did not use the language model in helping to model the acoustics in the mapping of the acoustic signal. Using the data in the audio translation of the Quran in the dialect and Bahasa Indonesia, the data extracted using the MFCC to obtain acoustic features. Batch Normalization is also used on the GRU network to avoid covariate-shift between the layers of the network. The network consists of three-layers network MLP with activation function ReLU and forwarded with a layer of unidirectional GRU. After passing through the GRU, the data will be processed on the SLP with the function of the activation of softmax where the results will be input on the CTC. The network is optimized using Adam optimizer and generate 90.611 % WER of the best model tested. The network has a vanishing gradient and results in the slow process of learning the network in recognizing the acoustic signal. The use of unidirectional GRU base also has no big significance in the delay layer to expose the temporal information.
Klasifikasi Aktivitas Manusia menggunakan Algoritme Fuzzy Learning Vector Quantization (FLVQ) dengan Reduksi Dimensi Principal Component Analysis (PCA) Katrina Puspita; Fitra Abdurrachman Bachtiar; Novanto Yudistira
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 1 (2022): Januari 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Human Activity Recognition is a popular research topic which aims to identify human activities using sets of data obtained with the help of sensor or image recorder. Research results regarding human activity recognition are widely used for military, health, and security purposes. Previously, research has been conducted regarding human activity recognition using Learning vector quantization (LVQ), but this method has several weaknesses which are LVQ accuracy rate rely heavily on the pre-processing of the data, sensitive to overlapping dataset, and requires a long computational time, in which these problems affect the performance of LVQ algorithm. One of the methods used to solve these problems is Fuzzy learning vector quantization (FLVQ) with dimensionality reduction Principal Component Analysis (PCA). FLVQ algorithm is a development from LVQ algorithm, where it uses batch of Fuzzy C-Means and LVQ in its calculations. The research was conducted using various tests on the parameters and the number of classes to be used in the classification stage. The highest accuracy was obtained from the classification using 2 classes, which gained 52.11% in accuracy with 30 features out of the total features (561 features) being used.
Klasifikasi Kepribadian Model Myers-Briggs Type Indicator (MBTI) pada Teks Bahasa Inggris menggunakan Metode Convolutional Neural Network (CNN) Joseph Ananda Sugihdharma; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 13 (2022): Publikasi Khusus Tahun 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Dipublikasikan di International Conference on Information Technology and Education (ICITE)
Klasifikasi Emosi Engagement melalui Facial Landmark dengan Metode Convolutional Neural Network Aulia Nurrahma Rosanti Paidja; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 13 (2022): Publikasi Khusus Tahun 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Dipublikasikan di International Conference on Information Technology and Education (ICITE)
Deteksi Spam pada Email dengan Affect Intensities menggunakan Metode Recurrent Neural Network (RNN) Nurafifah Alya Farahisya; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 13 (2022): Publikasi Khusus Tahun 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Dipublikasikan di International Conference on Information Technology and Education (ICITE)
Pengembangan Aplikasi Web Pendeteksi Kondisi Ekspresi Pengguna E-Learning melalui Kamera Akhmad Lazuardi; Fajar Pradana; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 1 (2022): Januari 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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E-learning is the use of information and communication technology networks in teaching and learning. The COVID-19 pandemic is forcing educational entities to adapt to using e-learning. The virtual learning method has limitations in recognizing student expressions. Facial expressions cannot be used as a tool by lecturers to interpret students' understanding of online learning. Previous research has been able to build a system that can detect student emotions by detecting patterns of eyes, head, and facial expressions. Building a user facial expression monitoring system that is integrated with e-learning is one step to help educators detect student expressions online. The facial expression detector used is the face-api.js library. The data obtained from the face-api.js library is extracted and then sent to the database. Then the data stored in the database will be displayed on the admin page. The Hypersheets application will be a testing ground for integrating this facial expression detection system. The system development method uses the waterfall method. The developed system produces 4 functional requirements and 1 non-functional requirement. The unit test results get a 100% pass result and the validation test has 12 test cases and gets a 100% pass result. Web application compatibility testing using SortSite got no critical issues. And has a System Usability Scale value of 72.5 which is included in the category of having good usability. It is hoped that this system can help the Hypersheets application in detecting the user's facial expressions as a basis for monitoring the emotions of students who study with this application.
Prediksi Potensi Penjualan Makanan Beku berdasarkan Ulasan Pengguna Shopee menggunakan Metode Decision Tree Algoritma C4.5 dan Random Forest (Studi Kasus Dapur Lilis) Muhammad Ferdyandi; Nanang Yudi Setiawan; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 2 (2022): Februari 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Dapur Kitchen is a micro-business that sells frozen foods in the form of Chicken Nuggets. Kitchen Lilis wants to add new products according to the interests of prospective buyers. However, Kitchen Lilis does not yet know the fact that prospective buyers want frozen food products like what. Therefore, it is necessary to conduct research on frozen food predictions based on data obtained on the Shopee page with frozen food category products. Data obtained a total of 140 data and made decision trees with data partitions 80% training data and 20% test data. The method used is Random Forest and applies the C4.5 Algorithm to each subtree formed. The rule model has an accuracy value of 0.73 for training data and 0.78 for test data. From the calculation of algorithm C4.5 manual use of preservatives has the most influence and from the rule model as many as three subtree, on the first rule of raw material quality, the second rule of the use of MSG, and the third rule of the use of preservatives. The results of the next classification are visualized into a dashboard and to predict products based on features can be executed on a prediction application. Both outputs from the study were tested using the System Usability Scale (SUS) and had a value of 90 which belonged to the category "A" which means the system can be well received by Dapur Lilis.
Pencarian Topik dalam Al-Quran Terjemahan Bahasa Indonesia dengan Metode Hybrid Fuzzy C-Means Particle Swarm Optimization (FCM-PSO) Luthfi Afrizal Ardhani; Fitra Abdurrachman Bachtiar; Lailil Muflikhah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 13 (2022): Publikasi Khusus Tahun 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Diterbitkan di JTSISKOM (Jurnal Teknologi dan Sistem Komputer)
Information Retrieval Hadis Terjemah Bahasa Indonesia dengan Metode Vector Space Model dan Hybrid Fuzzy C-Means Algoritme Genetika Alaikal Fajri Nur Alfian; Fitra Abdurrachman Bachtiar; Indriati Indriati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 13 (2022): Publikasi Khusus Tahun 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Dipublikasikan di JTIIK (Jurnal Teknologi Informasi dan Ilmu Komputer)
Pengembangan Sistem Monitoring Mengidentifikasi Vital Sign Suhu Tubuh dan Jantung pada Orang Tua Rezka Aditya Nugraha Hasan; Fajar Pradana; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 4 (2022): April 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Vital sign checks in today's technology can be implemented anywhere, such as at home, in hospitals, and outdoors (while traveling). The proposed vital signs monitoring system can assist clinicians by delineating traces of critical physiological parameters, generating early warnings/warnings and indicating any significant changes to the data. The monitoring system developed has the advantage of being able to wirelessly interconnect between sick patients and their families at home. The development carried out is to make a monitoring system capable of taking readings from the body and heart temperatures of the patients being examined and providing early warnings if the parameters that are read are abnormal. The system is able to send data from the reading of the two aspects to the data processing center. In the data processing center, the system will analyze the patient's condition based on the patient's temperature and heart rate. And from the results of the study, it was found that the system that has been built can measure the patient's body temperature and heart rate according to the selected sensor port and the system can store patient data. The system is able to communicate well where the sensor readings can be displayed on the GUI system according to the pre-set port and identify the patient's condition by comparing the patient's body temperature and heart rate data with normal human conditions.
Co-Authors AA Sudharmawan, AA Abidatul Izzah Abu Wildan Mucholladin Achmad Arwan Achmad Basuki Achmad Basuki Achmad Fahlevi Achmad Firmansyah Sulaeman Achmad Hanim Nur Wahid Achmad Ridok Adam Hendra Brata Adam Syarif Hidayatullah Adhia, Nabila Nur Fajri Adinugroho, Sigit Aditya Rachmadi Aditya Rachmadi, Aditya Admaja Dwi Herlambang, Admaja Dwi Afida, Latansa Nurry Izza Afifurrijal Afifurrijal Agus Wahyu Widodo Ahmad Afif Supianto Ahmad Afif Supianto Ahmad Afif Supianto Ahmad Afif Supianto Ahmad Fairuzabadi Aisyah Awalina Aisyatul Maulidah Akhmad Lazuardi Al Ikhsan, Mochammad Dearifaldi Alaikal Fajri Nur Alfian Aldi Fianda Putra Aldo, Muhammad Alfi Nur Rusydi Alfian, Kharis Alfin Taufiqurrahman Alfirsa Damasyifa Fauzulhaq Alhasyimi, Dana Mustofa Amadea, Karina Amalia Kusuma Akaresti Amrillah, Muhammad Ifa 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 Arifien, Zainal Aulia Dewi Savitri Aulia Nurrahma Rosanti Paidja Aulia Septi Pertiwi Awalina, Aisyah Azhar Izzannada Elbachtiar Azizah, Rizky Adinda Azzam Syawqi Aziz Azzam, Ja'far Shidqul Baharudin Yusuf Widiyanto Barlian Henryranu Prasetio Bayu Aji Firmansyah Bayu Priyambadha Benni A. Nugroho Bere, Stevania Biabdillah, Fajerin Bianca Pingkan Nevista Bintang Fajrianti Budi Darma Setiawan Budi Setiawan Cahya, Reiza Adi Cinthia Vairra Hudiyanti Dariswan Janweri Perangin-Angin Darmawan, Riski Dary Ardiansyah Haryono Dea Zakia Nathania Dedi Romario Delpiero, Rangga Raditya Desy Setya Rositasari Dewi, Elok Nuraida Kusuma Dian Eka Ratnawati Dika Imantika Dimas Angga Nazaruddin Dinda Adimanggala Dito William Hamonangan Gultom Diva Fardiana Risa Djoko Pramono Dona Adittia Dyah Ayu Wulandari Dyah Ayu Wulandari Dyah Ayu Wulandari Dzar Romaita Eka Devi Prasetiya Eka Yuni Darmayanti Eko Laksono Eko Setiawan Fabiansyah Cahyo Kuncoro Pradipta Fahrezy, Ahmad Faizatul Amalia Fajar Pradana Faranisa, Puspa Ayu Fardan Ainul Yaqiin Farhan Setya Dhitama Farhansyah, Brahma Hanif Farid Syauqi Nirwan Fasya Ghassani Hadiyan Fatwa Ramdani, Fatwa Ferdian Maulana Akbar Ferry Ardianto Rismawan Ficry Agam Fathurrachman Fikar Mukamal Gandhi Ramadhona Gembong Edhi Setyawan Giga Setiawan Gregorius Dhanasatya Pudyakinarya Gultom, Dito William Hamonangan Gunawan, Alifi 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 Hidayatullah, Adam Syarif Hirashima, Tsukasa Holiyanda Husada Hutamaputra, William Ihza Razan Alghifari Ikhsan Putra Arisandi Ikrom Septian Hadi Ilham Pambudi Imam Cholissodin Imam Cholissodin Indra Kurniawan Syahputra Indriati Indriati Indriati Indriati Indriati Indriati Indriati Intan Yusuf Habibie Iqbal Taufiq Ahmad Nur Irfani, Ilham Irma Nurvianti Irwan Suprianto Irwanto, M. Sofyan Issa Arwani Istanto, Raga Saputra Heri Ivqonnada Al Mufarrih Joseph Ananda Sugihdharma Joseph Ananda Sugihdharma Julia Ferlin Kartiko, Erik Yohan Katrina Puspita Kevin Gusti Farras Fari' Utomo Kharis Alfian Khoirullah, Habib Bahari Kresna Hafizh Muhaimin Krisnabayu, Rifky Yunus Krisnandi, Dikdik Kuncahyo Setyo Nugroho Kurnia Fakhrul Izza Kurniawan, Rafi Athallah Kusumo, R. Budiarianto Suryo Lailil Muflikhah Larasati, Sza Sza Amulya Lathania, Laela Salma Ludgerus Darell Perwara Luthfi Afrizal Ardhani M Reza Syahputra A M. Ali Fauzi M. Khusnul Azhari M. Raabith Rifqi Mar'i, Farhanna Marji Marvel Timothy Raphael Manullang Maulidah, Aisyatul Mawarni, Marrisaeka Moch Irfan Prayudha Adhianto Mochamad Chandra Saputra Mochamad Havid Albar Purnomo Mochammad Dearifaldi Al Ikhsan Moh Iqbal Yusron Mufidatun Nuha Muh. Edo Aprillia Andilala Muhammad Ferdyandi Muhammad Tanzil Furqon Muhammad Taufik Dharmawan 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 Nevista, Bianca Pingkan Nourman Hajar Novanto Yudistira Novi Sunu Sri Giriwati Novianti, Siska Nur Wahyu Melliano Hariyanto Nur, Iqbal Taufiq Ahmad Nurafifah Alya Farahisya Nurkhoyri, Ageng Nurul Hidayat Oddy Aulia Rahman Nugroho Okta Dwi Ariska Pamungkas, Gilang Alif Pangestu, Gusti Pradana , Fajar Priyambadha, Bayu Pryono, Muhammad Adam Puras Handharmahua Purnomo, Fawwaz Anrico Putra Pandu Adikara Rafif Taqiuddin Rafif Taqiuddin Rafly, Andi Rahman, Rafli Rahmat Adi Setiawan Ramadhan, Muhammad Fitrah Ramadhianti, Fatiha 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 Risa, Diva Fardiana Riski Darmawan Riza Setiawan Soetedjo Rizal Setya Perdana Rizkey Wijayanto Rizkia Desi Yudiari Rizky Adinda Azizah Rizky Muhammad Faris Prakoso Robi Dwi Setiawan Rochmawanti, Ovy Rona Salsabila Said Atharillah Alifka Alhabsyi Salsabila, Rona Samuel Arthur Satrio Agung Wicaksono Satrio Agung Wicaksono Satrio Hadi Wijoyo Satrio Hadi Wijoyo Satyawan Agung Nugroho Satyawan Agung Nugroho Shinta Aprilisia Sifaunnufus Ms, Fi Imanur Sigit Adinugroho Sinana, Admi Rut Sintiya, Karena Siswahyudi, Puad Siti Mutdilah Sofyanda, Erika Yussi Sri Wulan Utami Vitandy Sueddi Sihotang Sugihdharma, Joseph Ananda Sulandri, Sulandri Sutawijaya, Bayu Syahidi, Aulia Akhrian Syahputra, Indra K. Taufik Hidayat Timothy Julian Tirana Noor Fatyanosa, Tirana Noor Titus Christian Ubaydillah, Achmad Afif Utaminingrum, Fitri Vasha Farisi Sarwan Halim Very Sugiarto, Very Vivy Junita Wafi, Muhammad Wahyu Ardiansyah, Mohammad Wahyu Satriyo Wibowo Wahyudi, Hafif Bustani Wayan F. Mahmudy Wayan Firdaus Mahmudy Welly Purnomo Whita Parasati Wicaksono, Satrio A. Wicky Prabowo Juliastoro Windy Adira Istiqhfarani Wiratama Ahsani Taqwim Wirdhayanti Paulina Yoga Tika Pratama Yudi Muliawan Yuita Arum Sari Zayn, Afta Ramadhan Zulfikarrahman, Muhammad