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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

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Analisis Sentimen Opini Mahasiswa Terhadap Saran Evaluasi Kinerja Dosen Menggunakan TF-IDF dan Support Vector Machine. Achmad Firmansyah Sulaeman; Ahmad Afif Supianto; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 6 (2019): Juni 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Lecturers especially in institution should always need to improve their knowledge and effective and efficient teaching methods that can be well received by students. Evaluation on the quality of teaching and academic standardization needs to be done so that the objectives of the teaching goal can be achieved. Brawijaya University especially Computer Science Faculty implements of filling the online questionnaire due to evaluating lecturers' performance at each semesters. The opinion data that held by the UJM Team of Information Systems Department is still no processed by using data analysis classification technology that is able to provide information about student perspectives. Sentiment analysis using Support Vector Machine in combining with Term Frequency Inverse Document Frequency as word weighting can be used as a method in classification of student opinion data. This research managed to used student opinion data in bahasa for 3 last semesters in 2017 and 2018. The test that have been conducted on the results of classification show the average of 82% on Accuracy. Data visualization become an output of this research based on the classification result with displaying 3 different pages of sentiment analysis lecturers performance evaluation on each semester. The average result of usability test show result in 70, which means receives a good visualization dashboard at it self.
Pengembangan Sistem Pembelajaran Bahasa Inggris Menggunakan Pendekatan Gamifikasi Ilham Pambudi; Fajar Pradana; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 6 (2019): Juni 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

English has been an international language for communication among global citizens. A good English ability is highly required for Indonesians to be able to communicate with other people around the world. However, learners in Indonesia frequently encounter a myriad of challenges in learning English, including their reluctance to study new English vocabulary, worry of making mistakes, and feeling bored with the conventional teaching methods. The main four English skills that should be mastered by the learners are writing, reading, listening, and speaking. Excellent vocabulary mastery has been one of the key factors to become proficient at those four skills. English learning system using gamification approach serves as one of the solutions to improve learners' motivation in learning English. The use of gamification concept integrates several elements embedded in game applications, such as point collection, achievement, ranking, which are wrapped as English learning materials. Website-based learning system can be accessed without any place and time constraint, so that learners can study English autonomously and flexibly. This type of English learning system is developed using a software development model ‘Waterfall' with some certain procedures, including needs analysis, designing, implementation, and system test. This learning system has been examined by testing unit using White box method and validation test using Black box. Based on a series of the conducted tests, it demonstrated that the functional system has been running as designed and the result of the tests showed a 100% validity level.
Analisis Sentimen Evaluasi Kinerja Dosen menggunakan Term Frequency-Inverse Document Frequency dan Naive Bayes Classifier Sri Wulan Utami Vitandy; Ahmad Afif Supianto; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 6 (2019): Juni 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Effective and efficient in teaching can help students achieve maximum results. An evaluation is needed to improve the quality of learning and academic standardization, also it can improve the quality of the student. Therefore, the Information Systems Department always evaluates performance using questionnaires and filled by students at the end of each semester. The results of the suggestion column can be sentiment analysis to find out whether the suggestion is positive, negative or neutral. The classifier is a method that can classify data into several classes. Naive Bayes Classifier can be used to classify opinions into positive, negative and neutral classes. The comment data was collected 3502 comments which were divided into 3 semesters. Then, this comment data processed in preprocessing, weighting TF-IDF and classification using Naive Bayes Classifier. The test result on 4 parameters resulted in an accuracy of 80,1%, Precision 80,3%, Recall 80,3% and F1-Score 80%. The results of Usability testing obtained an average value of SUS Score of 75. So it can be concluded that the Dashboard is included in the Acceptance category and in the rating of "Good"
Pengenalan Citra Makanan Tradisional menggunakan Fitur Hue Saturation Value dan Fuzzy k-Nearest Neighbor Refi Fadholi; Yuita Arum Sari; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 7 (2019): Juli 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Traditional food and snacks are typical of ancestors usually used for events or traditions. Some people consider that traditional food and snacks are obsolete, so that more traditional food and snacks are left behind by the people, and begin to shift to modern life, whereas traditional snacks themselves are one form of ancestral heritage that must preserved by next generation. Making system that can identify traditional types of food can be done using digital image processing. In this study, the image data used the result of image after segmentation with three types of data on testing, that is 300 images of the best segmentation result, 300 data of images with the amount of data each class is almost same and 400 data of images with the best segmentation results. Image feature used Hue Saturation Value (HSV) that contains mean, standard deviation, skewness and curtosis each color dimensions. Classification using the Fuzzy k-NN method and k-Fold Cross Validation. The test results based on values of k (k-Fold) and k (k-NN) obtained highest average accuracy at 53.33%. The test results also show that high color similarity between classes, poor image quality data and uneveness amount of data makes the test result decreased.
Asosiasi Tempat Wisata Dengan Kata Kunci Di Malang Raya Dengan Metode Association Rule Mining Menggunakan Algoritme FP-Growth Fardan Ainul Yaqiin; Fitra Abdurrachman Bachtiar; Indriati Indriati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 7 (2019): Juli 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Tourist attraction in Indonesia is growing rapidly. This growth made tourists hard to choose a destination. FP-Growth is an algorithm that uses frequent patterns in forming associations. FP-Growth can be used in the search for tourist attractions associations with its keywords, where these associations can later be used by tourists for reference in choosing destinations, also can be used by managers to improve their services. This study uses commentary data as a set of transactions as input for the formation of associations. In the resulting rule withdrawal, only suffixes of tourist attractions is taken so that the rule produced is the association of tourist attractions with its keywords. Testing is done to determine the effect of minimum support and minimum confidence on the number of rules formed and the average value of lift ratio. The conclusion of this study is the FP-Growth algorithm could be implemented in the formation of association of tourist attractions with keywords. The average lift ratio value of the association formed is 2.77, which means that the association is considered beneficial. In addition, the results of the associations obtained will later be used by managers of tourist attractions to improve their services.
Pengembangan Sistem Katalog Magang Fakultas Ilmu Komputer Universitas Brawijaya Robi Dwi Setiawan; Adam Hendra Brata; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 7 (2019): Juli 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

On the Job Training is one of academic activities that must be carried as condition of graduation from the faculty of computer science at university of brawijaya. Each year there are about one hundred students who do this PKL program. Seeing from the number of student is not aligned with the amount of data PKL is available to be contacted and FILKOM does not provide centralized information containing data on places of PKL to be used as a references. Therefore, developed the mobile application with the name katalog magang contains information on places of PKL. Development of this application using approach evolutionary prototype to help stakeholders and developer to explore needs and reduce the occurrence of misunderstandings in the development process. This app developed based on android by using location based services feature that are useful to provide the exact location on place of PKL shared by students. In addition to the mobile application for student there is also a website based used by FILKOM to provide information on places of PKL that cooperate. This android based application is developed using android studi IDE, website with API developed using laravel framework, and MySQL as the database. Testing application using unit testing, integration testing, validation testing, and usability testing. Based on the results of the test resulted in a valid status in every functional and application get a score of 80.83 or included in category “Acceptable”.
Penerapan Metode K-Means Clustering dan Analytical Hierarchy Process (AHP) untuk Pengelompokan Kinerja Guru dan Karyawan pada SMA Brawijaya Smart School Dika Imantika; Fitra Abdurrachman Bachtiar; Retno Indah Rokhmawati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 8 (2019): Agustus 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Brawijaya Smart School Senior High Malang every months did performance assessments for their teachers and employees. However, there still some problems such as printing and distributing questionnaires is inefficient, requiring costs and energy. As well as not using particular system or method in processing the results of the questionnaire into values and graphics for monthly reports and determine the best teacher or employee. K-Means clustering is used to divide teachers and employees into groups based on value result from questionnaire. Furthermore, the Analytical Hierarchy Process used to rank the teachers and employees by using priority choices from various alternatives. Results of analysis using Elbow, SSE, Connectivity, Dunn Index, and Silhouette width, the optimal number of clusters is 2 and 3. Then the teachers and employees rankings are generated on each cluster along with overall rankings and per criteria. The Spearman correlation test results in data 1 is 0.771 and data 2 is 0.888 where both show a strong correlation. Scatter plots both show positive correlation. The dashboard system is generated in the form of a graphics of the number of teachers and employees, clusters and members of each cluster, and list of teachers and employees with the Usability Testing calculation using the System Usability Testing (SUS) method showing a value of 72, 5 which is an acceptable categories.
Pengembangan Sistem Manajemen Peminjaman Sarana dan Prasarana (Studi Kasus : Fakultas Hukum Universitas Brawijaya) Sueddi Sihotang; Achmad Arwan; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 9 (2019): September 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Faculty of Law Universitas Brawijaya conducts lecture activities every day but does not have the media to submit lecture information online. The Faculty of Law, Universitas Brawijaya also has activities outside of lectures that use space and supporting equipment so that the activity can run well. The needs of students in using faculty rooms and equipment have been met so far. Students can borrow rooms and goods to the faculty which have been done manually. Every loan must be validated by the head of the academic, the head of the student body and the head of the general. This validation process sometimes takes a long time if these people cannot be found within a certain time. The loan facility and infrastructure management system is a system that can overcome the above problems. Submitting a loan and validating a loan can be done online. Every loan will be recapitulated by the system. The system was developed by the waterfall method and uses an object oriented approach. Developers use codeigniter as a framework for implementing systems because it supports the concept of MVC (model, view, controller). System testing is done by using black-box testing and white-box testing to test the functional system and using compatibility testing to test non-functional systems. Based on the tests conducted, the system gets 100% valid functional test results and gets good results in compatibility testing because it is able to run well in the browser environment under test.
Pengembangan Sistem Aplikasi Pencarian Dosen Pembimbing Skripsi dengan Teknologi Web Semantik (Studi Kasus : Fakultas Ilmu Komputer Universitas Brawijaya) Eka Devi Prasetiya; Bayu Priyambadha; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 9 (2019): September 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The implementation of the thesis at the Faculty of Computer Science, University of Brawijaya (FILKOM UB) experienced several obstacles experienced by students. One of the obstacles is that it is difficult for students to choose prospective thesis supervisors who are suitable with the thesis topic to be examined. One way that can be done is to know the thesis that has been guided by a lecturer. Journal of Information Technology and Computer Science Development (JPTIIK) is a website that provides thesis information from FILKOM UB students. Students can search for theses that are guided by lecturers by searching based on keyword names of lecturers on JPTIIK. But the search results on JPTIIK are often irrelevant, because the data sought is not interconnected. In this study, a thesis supervisor application search system was developed that uses semantic web technology to connect and map data. Data is mapped into ontologies to facilitate searching. The search system is supported by cosine similarity so that search results can be ranked based on the degree of similarity of the thesis. The development method used in this system is the waterfall method. The system is tested using unit tests, validation and compatibility. The results of validation testing conducted in all test cases give a value of 100% valid.
Klasifikasi Aktivitas Manusia menggunakan Algoritme Decision Tree C4.5 dan Information Gain untuk Seleksi Fitur Vivy Junita; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 10 (2019): Oktober 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Human activity recognition is one of the popular topics on both academic and commercial researchers. Some researchers have tried to classify human activity recognition but the result is unsatisfactory. Moreover, there is another problem with high dimensional human activity recognition dataset. The high dimensional of data set takes a longer computational time and makes the classification model be overfitting. One method that can be used to solve those problems is the classification using the Decision Tree C4.5 algorithm and Information Gain as selection feature method. Decision Tree C4.5 algorithm is a suitable method for continuous dataset and Information Gain is one of the filter methods in feature selection that can work well on high-dimensional dataset. This research also conducted various tests on some parameters such as the optimal number of features and the maximum depth tree that be used. Based on the test that has been done obtained the accuracy of 81% with 90% of the total number of all features (561 features) and 10 for the maximum depth for the tree.
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