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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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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

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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

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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 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

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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

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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

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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.
Analisis Perilaku Pengguna pada PT Antar Surya Jaya : Harian Surya Surabaya menggunakan Metode K-Means Clustering Kevin Gusti Farras Fari' Utomo; Fitra Abdurrachman Bachtiar; Nanang Yudi Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Surya Daily, one of the leading newspapers in Surabaya and part of Tribbunnews, always strives to maintain user satisfaction in obtaining accurate, reliable and equitable information in the aspect of its distribution of various types of published news. Newspaper development continues to increase in line with the rapid development of technology, causing competitive conditions in the information and journalism fields. Analysis of user behavior through Cyber ​​Profiling is one way to find out the patterns and trends that are being of interest based on the application of Log Analysis. The application of this analysis requires a classification of data and information, which in this study applies K Means Clustering as a method of classifying log data from the Surya Surabaya Daily website. This study resulted in grouping users into 2 and 3 clusters through silhouette coefficients with validation values ​​of 0.48896 and 0.53899, then analysis information related to the most accessed Health category (29.5%) and the number of page views (53.2%) of all categories available on the website. Surya Daily. The results of the identification of cluster groups with low-high-moderate characteristics which refer to the level of distribution of categories and the number of activities in each category, and visualized in the form of a dashboard which is tested through SUS which produces a value of 97.5 and represents Grade "A" and "Excellent" based on adjective rating, and best imaginable for stakeholders.
Pengembangan Lanjut Web E-Learning Codemaniac menggunakan Web Adaptif berbasis Log: Pengembangan Lanjut Web E-Learning Codemaniac Menggunakan Web Adaptif Berbasis Log Achmad Hanim Nur Wahid; Fajar Pradana; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Education is one of the most important needs for human civilization, especially for children and teenagers. The current pandemic condition is forcing education to use online learning alternatives. Codemaniac is one of the e-learning which is builded using gamification techniques to increase student motivation. However, Codemaniac does not yet have adaptive features that can maximize the behavior of each user. To overcome this problem, further development of Codemaniac will add adaptive features by utilizing the recorded user behavior contained in the log file. Based on the recorded user behavior, clustering will be carried out using the fuzzy c-means algorithm so that three types of clusters will be formed, each cluster will present a different user interface. This system is compiled using SDLC waterfall with the addition of the Python programming language. In its development, it produces 3 actors, with an additional 5 functional requirements and 1 non-functional requirement. To test the system, the wthite box method is used for unit testing and the black box method is used for validation testing.
Sistem Prediksi Hasil Produksi Udang Vaname menggunakan Algoritma Multiple Linear Regression (MLR) Kombinasi Gradient Descent (GD) dengan Apache Spark Wicky Prabowo Juliastoro; Imam Cholissodin; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Vannamei shrimp is a shrimp in the tiger prawn pond culture favored by the Indonesian people because it has an economical price and has the expected prospects and benefits. The cultivation of vaname shrimp is quite tricky compared to tiger prawns. Vannamei shrimp is vulnerable to diseases such as White Faces Syndrome (WFS) and White Spot Syndrome (WSS) which results in death and a decrease in the amount of production produced. The decrease in production results is also caused by poor air quality management such as poor air circulation, irregular ponds, and providing excessive feed which causes poor air quality. Therefore, an algorithm is needed that can predict the production of vannamei shrimp based on the quality of the water used so that cultivators can take preventive actions against problems that occur. In this study, prediction is carried out into several processes, namely, pre-processing, data normalization, prediction, and calculation of the error value. In the prediction process, the algorithm used is Multiple Linear Regression (MLR) a combination of Gradient Descent (GD) with Apache Spark and in the process of calculating the error value using the Root Means Square Error (RMSE) method. The results of this study are based on the testing process using water quality data for 1 harvest of ponds owned by FPIK UB partners in. Lamongan which consists of 18 parameters in 4 different pools, the RMSE value is 210,634 and the Adjusted R-Squared value is 0.8341 with a training and testing data percentage of 70%:30%, the number of features is 18, the alpha value is 0.33, the error value is 0. .01 and the number of nodes is 6.
Pembangunan Sistem Informasi Rawat Jalan dan Rekam Medis Elektronik berbasis Website (Studi Kasus : RSUD Dr. Iskak Tulungagung) Shinta Aprilisia; Faizatul Amalia; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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The implementation of health services in a hospital has a very complex organization and organization. Currently, many hospitals, clinics, health centers, and doctors' practices have used information systems to facilitate data management and improve the quality of service to patients. However Dr. Hospital Iskak Tulungagung still faces difficulties in patient registration and searching for medical records. One patient takes 5-15 minutes to complete the registration process, including monitoring patient medical records or creating medical record documents for patients who are first seeking treatment. Seeing these problems, the authors developed an online registration system and electronic medical records, so as to reduce patient queues at registration and maximum patient care. This system will apply the waterfall model for its development process. This model takes a systematic and sequential approach. The test was carried out using a test unit with the whitebox testing method on 3 functions, namely data input, physical examination, changing profiles, adding to the drug list. Of the three test units that have been carried out, it can be declared that they have passed the unit test. The validation results in a valid value in each test case against the 84 tested cases based on 46 functionality, therefore the system is declared to have passed the validation test. In the compatibility test using SortSite resulted in a web that is able to run well on 9 out of 11 browser versions. On the usefulness, the total answers to each of the 10 questions were tested to 20 respondents. The results of the reusability test of this system obtained an average score of 80.4 which is included in the above average classification.
Pengembangan Aplikasi Pendeteksi Kelelahan bagi Pengendara Mobil berbasis Android melalui Face Recognition Rahmat Adi Setiawan; Fajar Pradana; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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One of the main causes of vehicle traffic accidents are human factors such as sleepiness during driving, which is 35% of total traffic accidents in Indonesia. In order to prevent and minimize the percentage of traffic accidents and material loss caused by that factor, through this research will be developed a fatigue detection system for car drivers. This research will be focusing on the development of fatigue detection method through visual cues with Percentage of Eye Closure (PERCLOS) method, which in that method measures the eye closure percentage against time to indicate the fatigue of a car driver. The system will be able to give the car driver a signal for a detected fatigue, directing the car driver to an area to rest, contacting the close related person to the car driver when fatigue detected and an emergency function to do that without a need of fatigue detection. This system will be implemented in a smartphone with Android-based operating system. Waterfall model is used for the development process of this system. The requirement analysis produced produced 8 functional requirements and 1 non-functional requirement in the development process. Unit testing has 100% pass result and validation testing has 100% pass result which has 15 test cases. The system expected a web-based implementation that can be used to integrate the fatigue detection system to handle user data in fatigue detection system in a large scale.
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