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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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Klasifikasi Penyakit Dental caries menggunakan Algoritme Modified K-Nearest Neighbor Windy Adira Istiqhfarani; Imam Cholissodin; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 5 (2020): Mei 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Dental caries or commonly called cavities is a disease in which bacteria can damage the structure of dental tissue such as enamel, dentin, and cementum. Cause of occurrence dental caries is demineralization of tissue on the surface of the teeth of organic acid caused of foods that contain sugar. Caries that are not treated or controlled early can cause tooth decay that is getting worse and eventually tooth extraction. To find out more about the class of caries disease, a dental caries classification system was created using the Modified K-Nearest Neighbor (MKNN) algorithm. This method is a method that developed from the KNN method. The difference between the KNN algorithm and MKNN is calculation of the validity of training data and weight voting. In this study there were 6 classes and 8 symptoms or variables used. The test results of this study include testing the effect of k values, testing the effect of the amount of training data and test data, and its effect on distance. The results of the average accuracy of testing the value of k by 86% with the highest average of 90.66% when k = 3. Testing the effect of the amount of training data get an average accuracy of 71.1% with the highest accuracy of 86.7% on the amount of training data of 70 and for testing the effect of the amount of test data get an average accuracy of 82.2% with the highest accuracy of 86.7% on the amount of test data of 30. Testing the effect of distance get the same results of accuracy in the distance of Manhattan and Minkowski by 86.7%.
Pembangunan Sistem Chatbot Informasi Objek Wisata Kota Malang berbasis Web Rizkey Wijayanto; Fajar Pradana; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 5 (2020): Mei 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Malang City is one of the cities in East Java Province in Indonesia which has a lot of potential to be used as a tourist destination that can be visited by both domestic and foreign tourists. Data shows that the number of tourists visiting Malang is less than that of Batu City. The small number of tourists is caused by several factors. One of them is the lack of information related to tourist attractions in the city of Malang. To deal with these problems, a system development that aims to make it easier for tourists to get information about Malang city tourist destinations. In addition to finding information the system can also be used by tourists to submit proposed tourism locations that may not have been registered. Tourists can also provide value to tourist sites so that they can be used as a reference for tourism managers in building good tourism locations. The system was built using the Laravel framework which has more features than other frameworks and uses BotMan for the construction of chatbots in order to provide interactive information and with map support for more accurate location indicators. Testing is done by testing three aspects, namely unit testing, integration testing and validation testing in which all three tests produce a value of 100% valid. In compatibility testing we get the results that the system can run on 8 types of browsers. It is expected that this development will make it easier for tourists to access and obtain information about Malang City tourism.
Klasifikasi Ulasan Palsu menggunakan MDLText dengan Seleksi Fitur IG dan SMOTE Dary Ardiansyah Haryono; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 5 (2020): Mei 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Advancement of technology make buying product/service easier because the order can be made via online. Most people will consider reviews before buying product/service, so reviews greatly affect the number of product/service purchases. Therefore, fake review classification system was created using MDLText algorithm. In this research, comparing the accuracy, precision, recall and F-measure of 4 methods namely: MDLText algorithm, and MDLText algorithm with IG feature selection, MDLText algorithm with SMOTE, MDLText algorithm with SMOTE and IG feature selection. The data used are imbalanced data with a ratio of 1 fake review to 6 original reviews. Based on the test results, for the MDLText algorithm the results obtained from the change in the parameter α with a pretty good accuracy of 49,67% but with relatively low recall of 19,35%, precision 10,53%, and F-measure 13,64%. While the use of MDLText algorithm with IG feature selection is better when the threshold is 60% in terms of accuracy that is 77,48% but in terms of precision, recall and F-measure threshold 90% has a better value of 20,94%, 100% and 34,64%. In the use of MDLText algorithm with SMOTE, the most balanced composition values are at SMOTE 200% with an accuracy value of 60.93%, recall 9.68%, precision 8,82% and F-measure 9.23%. It can be concluded that the MDLText method is better with 200% SMOTE and 60% IG threshold feature selection in terms of accuracy, precision, recall and F-measure. For the k-fold validation testing the best result for accuracy, recall and F-measure at 2 fold with 81,55%, 12,5%, 7,69% and 9,52%.
Klasifikasi Stres Dalam Aktivitas Kerja Kantoran Menggunakan Algoritme Extreme Learning Machine dan Seleksi Fitur One-way ANOVA F-Test Dariswan Janweri Perangin-Angin; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 13 (2020): Publikasi Khusus Tahun 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Artikel dipublikasikan di International Conference on Sustainable Information Engineering and Technology 2020
Penerapan Metode Association Rule Mining untuk Asosiasi Tempat Wisata dengan Kata Kunci Aspek (Studi Kasus: Jatim Park 3) Aisyatul Maulidah; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 13 (2020): Publikasi Khusus Tahun 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Untuk dipublikasikan di Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK)
Pengelompokan Daerah Berpotensi Transmigrasi Menggunakan Metode Improved k-Means (Studi Kasus: Kabupaten Malang) Siti Mutdilah; Imam Cholissodin; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 6 (2020): Juni 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The transmigration program implemented by the government is not only for the equal distribution of population, but also for economic development and inter-regional development in Indonesia. Malang Regency is currently still opening a transmigration program, but many potential areas for transmigration in Malang Regency are not comparable with the transmigration quota provided by the government as well as the community's interest in transmitting transmigration. Therefore, it is necessary to group regions in Malang Regency that have potential to transmigrate in order the government can provide accurate information for people in Malang Regency and could see the potential of each region. In this study the method used is Improved k-Means which is able to improve the accuracy of clustering results and the quality of clustering when compared with the k-Means method. It is because the initial centroid selection in the Improved k-Means method is done by selecting value of the farthest distance between data. Based on the results of testing conducted the Improved k-Means method produces better cluster quality compared to the k-Means method, in the silhouette coefficient value of 0.29135900558873151 with parameters of the number clusters of 3 and maximum iteration of 3. Clusters 1 there are 4 districts with no potential transmigration, cluster 2 there are 27 districts that have the potential to transmigrate, and cluster 3 there are 2 districts which have the potential to transmigrate.
Pengembangan Aplikasi Monitoring Tumbuh Kembang Bayi Usia Nol Hingga 24 Bulan berbasis Web Rona Salsabila; Fajar Pradana; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 6 (2020): Juni 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Children growth and development can increase significantly at the age of the first 1000 days of birth. Child growth and development can run optimally if the need for adequate nutritional intake. In early life, malnutrition (nutritional deficiencies) is very susceptible to occur, one of the consequences is stunting. Stunting is a condition when a baby has a lower height than a baby at his age, which is caused by poor parenting practices. The impact of a baby stunting can increase the risk of disease and even death, which will continue until the child is older. This application is formed by running 4 of the 5 stages of application development with the waterfall technique. Based on the results of the questionnaire, interviews with pediatricians and literature studies, 22 functional requirement were obtained and one non-functional requirement was obtained. Then the requirement modeling is done by using UML modeling which is used as a basis for implementing the design. The results of modeling are mapped into the PHP programming language, then tested with white box and black box techniques to test functional requirements and compatibility testing for non-functional testing. From the results of functional requirements's testing, obtained 100% valid results. While compatibility testing shows that the system is capable of running on 11 different search types.
Klasifikasi Teks Pengaduan Sambat Online Menggunakan Support Vector Machine (SVM) Nanda Samsu Dhuha; Fitra Abdurrachman Bachtiar; Ahmad Afif Supianto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 13 (2020): Publikasi Khusus Tahun 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Artikel dipublikasikan di SENTRIN 2020
Pengembangan Aplikasi Monitoring Kartu Menuju Sehat (KMS) Terintegrasi berbasis Mobile Giga Setiawan; Fajar Pradana; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 7 (2020): Juli 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Posyandu is a Community-Based Health Effort (UKBM) organized from, by, for and with the people with the aim of prospering the community in the health sector. Those who manage posyandu consist of nutritionists, midwives and cadres. One of a kind is the toddlers posyandu which only serves patients under five years old. At the posyandu a monthly activity will be held in the form of checking the condition of infants. In the checking process there are stages of measurement, recording and reporting. There are many cases of losing books or losing KIA books so the data cannot be updated. With this problem the KMS recording and reporting system was built. It is expected that with this system the possibility of losing KIA books will decrease and the possibility of data errors will also decrease. This system was built using the Android operating system and using the waterfall SDLC (Software Development Life Cycle). This system chose the Android operating system because mobile devices are practical and easy to carry everywhere. If the user loses the smartphone, data about the child's growth is stored on the database server. This system uses MySQL as a database and volley to move data from the database to the system or vice versa using the PHP language. In the needs analysis process, there are 9 functional needs and involve 2 actors namely guest and member. In the implementation process using the Java language as the basic language of the Android operating system. Whereas the testing process uses 2 types of testing namely white box and black box. White box testing uses 2 methods, namely unit testing and integration testing. Black box testing uses a validation testing method to test every need.
Pengembangan Sistem Manajemen Pemeliharaan Preventif Mesin berbasis Web (Studi Kasus: PT Valeo AC Indonesia) M Reza Syahputra A; Fajar Pradana; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 8 (2020): Agustus 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

This research discusses the development of a web-based machine preventive maintenance management system and takes a case study in PT Valeo AC Indonesia, which is a manufacturer of wiper blades for cars. In the industrial world, the importance of the level of machine performance requires companies to implement a machine maintenance policy. The policy adopted by PT Valeo AC Indonesia is preventive maintenance. Unfortunately, there are some problems found starting from the implementation of policies that are still carried out using a paper system, the schedule is not fixed, there is no warning system, and the problem of spare parts supply. These problems can be solved by building a web-based preventive machine maintenance management system. The system has various functions such as task management, schedule management, asset management, and user management. Its implementation utilizes the Laravel framework. After completion, the system is tested and the result is 100% valid and can run on all web browsers without any problems.
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