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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 Pengaruh Hasil Tes Masuk Program Magister Terhadap Performa Mahasiswa Menggunakan Metode Multiple Linear Regression (Studi Kasus: Magister Ilmu Komputer Universitas Brawijaya) Dito William Hamonangan Gultom; Ahmad Afif Supianto; 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

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Artikel dipublikasikan di Jurnal Teknologi dan Sistem Komputer (JTSISKOM)
Analisis Aspek Sentimen Ulasan Pengunjung terhadap Sektor Pariwisata Kota Surabaya dengan menggunakan Naive Bayes Classifier (Studi Kasus: Kawasan Wisata Tugu Pahlawan) Puras Handharmahua; Ahmad Afif Supianto; 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

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Untuk dipublikasikan di Jurnal Teknologi dan Sistem Komputer (JTSiskom)
Prediksi Kinerja Akademik Siswa menggunakan Neighbor Weighted K-Nearest Neighbor dengan Seleksi Fitur Information Gain Rizky Adinda Azizah; Fitra Abdurrachman Bachtiar; Sigit Adinugroho
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 RESTI (Rekayasa Sistem dan Teknologi Informasi)
Klasifikasi Penyakit Diabetes menggunakan Metode Support Vector Machine Abu Wildan Mucholladin; Fitra Abdurrachman Bachtiar; Muhammad Tanzil Furqon
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 2 (2021): Februari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Diabetes mellitus (DM) is a chronic disease associated with high levels of sugar or glucose in the blood. Diabetes is caused by one of two causes, autoimmune reactions (the body's defense system attacks insulin-producing cells) or insulin resistance (the body does not fully respond to insulin). The purpose of this research is to create a machine learning model that can detect diabetes early. There are many ways to diagnose diabetes, one of the methods is using machine learning. Support Vector Machine (SVM) is a machine learning method that is known to be quite effective for classification cases. The dataset is cleaned and normalized before so it can be ready to input in the SVM model. The SVM model is processed and tested in order to find the best model for making a diagnosis. The output of the SVM model will diagnose patients who suffer diabetes or not. The SVM model is divided into two types, the benchmark model which is implemented using the Sequential Minimal Optimization (SMO) algorithm and the scratch model which is implemented using the Sequential Learning algorithm. Each model is optimized using the Grid Search algorithm so that it can find optimal hyperparameters that can be used by the model. The optimal model is retested on several metrics using 10-fold cross validation. The test results show that the benchmark model has 0,87 mean accuracy, 0,82 mean precision, 0,78 mean sensitivity, and 0,92 mean specificity. The scratch model has 0,78 mean accuracy, 0,69 mean precision, 0,59 mean sensitivity, dan 0,87 mean specificity. The experimental results show that the Support Vector Machine method has the potential to be used as an early detection tool for diabetes.
Pengelompokan Terjemah Al-Quran Departemen Agama menggunakan Metode Fuzzy C-Means Mochamad Havid Albar Purnomo; Fitra Abdurrachman Bachtiar; Indriati Indriati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 2 (2021): Februari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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The Quran covers a variety of sciences so that it serves as a guide to the lives of Muslims. In reading the Qur'an, Muslims must reading the interpretation of each verse in all chapter that has similar meaning, in order to fully define the Qur'an. To make this easier, the study used the Fuzzy C-Means clustering (FCM) and Vector Space Model (VSM) algorithm. The initial process that is text preprocessing to produce the terms so that it can be used in the next process is tf-idf with normalization. Then the clustering process is done using FCM and VSM processes for interpretation search based on queries in the group of verses that have already been formed. In the test, the best value in the FCM algorithm used silhouette coefficient of 0,005146488 for all parameters including the number of clusters which is 2, the smallest error 0.001, the weighting value 2, and the maximum iteration 3. Then for VSM testing using 6 queries tested with precision@k showed that k-rank 7 produced the best precision value of 0.8333. Based on these results, it can be concluded by using FCM and VSM can be used to look for interpretations of Qur'an verses that have similar meanings.
Perbandingan Double Exponential Smoothing dan Triple Exponential Smoothing untuk Peramalan Jumlah Produksi Padi di Kota Surakarta Moch Irfan Prayudha Adhianto; Fitra Abdurrachman Bachtiar; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 3 (2021): Maret 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Every day, humans consume staple food as a source of energy to carry out daily activities. Most people, especially in the city of Surakarta, consume rice as a staple food made from rice in the rice plant. Therefore, rice is the most important crop in the city of Surakarta. The city government of Surakarta hopes that rice production will always increase. However, with the weather, employment, city planning, and other factors can cause the development of rice production to decline. With this, the city government of Surakarta cannot know when rice production has decreased. Therefore, with this forecasting research, it is hoped that it can help the Surakarta city government in cultivating these rice plants. This rice production forecasting system is designed using two methods as a comparison, namely: Double Exponential Smoothing and Triple Exponential Smoothing. The data used is data from Badan Pusat Statistik (BPS) Kota Surakarta. By using the alpha, beta value parameter in the Double Exponential Smoothing and the alpha, beta, and gamma value Triple Exponential Smoothing methods, it is found that the MAPE (mean absolute error error) value of the Double Exponential Smoothing method is 39.31 with the best combine alpha and beta value of 0.4 & 0.2. Meanwhile, the MAPE value of the Triple Exponential Smoothing method is 31.65. with the best combine alpha, beta, gamma value of 0.4, 0.1, & 0.9.
Segmentasi Pelanggan Menggunakan Fuzzy C-Means Clustering berdasarkan RFM Model pada E-Commerce (Studi Kasus: E-Commerce XYZ) Arieftia Wicaksono; Fitra Abdurrachman Bachtiar; Nanang Yudi Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 4 (2021): April 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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E-Commerce XYZ is a marketplace site owned by a state-owned telecommunications company. There are various kinds of purchasing behavior of e-commerce users in Indonesia. With customer segmentation, e-commerce XYZ can find out information related to existing customer behavior to attract new potential customers and retain loyal customers. The data used in this research were transaction data from January 1, 2020 to April 30, 2020 with a total of 78,262 transactions. This customer segmentation process is segmented based on Recency (the number of days needed between two purchases), Frequency (number of purchases within a certain period), and Monetary (the amount of money spent in a certain period) or commonly referred to as the RFM model. The segmentation technique used is clustering with the Fuzzy C-Means Clustering method. Elbow method is used to determine the best number of clusters. This research resulted in customer segmentation into 2 and 3 clusters. The cluster results will be validated and verified using the silhouette coefficient and euclidean distance to determine the best cluster. The validation results using the silhouette coefficient for cluster 2 and cluster 3 are 0.703 and 0.645, respectively. The results of segmentation based on the RFM model will be visualized using a dashboard to help stakeholders see the purchasing behavior of each cluster. The dashboard is evaluated using the System Usability Scale (SUS) to determine its usability level. The results of the dashboard evaluation are 97.5, these results are included in Grade "A" and Adjective Rating "Excellent". With these results, the XYZ E-Commerce dashboard that was created is functioning properly for stakeholders.
Klasifikasi Stress berdasarkan Elektrodermal Activity (EDA) menggunakan Seleksi Fitur Information Gain dan Metode LVQ2 Hanifah Khoirunnisak; Fitra Abdurrachman Bachtiar; Muhammad Tanzil Furqon
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 RESTI (Rekayasa Sistem dan Teknologi Informasi)
Pembangunan Kakas Bantu Pengukuran Kopling Agregat pada Perangkat Lunak berbasis Objek Fikar Mukamal; Fajar Pradana; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 5 (2021): Mei 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Coupling is a fundamental attribute of software which has a great influence on software quality. Couplings negatively affect the quality of the software. The higher the coupling value, the more difficult the changes to the software will be made. Changes to software during the life cycle are a certainty. Changes that are not implemented properly can cause damage and increase maintenance costs. So that software maintenance can be carried out efficiently, it is important for developers to keep the coupling values low. Various coupling metrics are proposed by the researchers, one of which is Aggregated Coupling Measure (ACE). ACE metrics combine structural and conceptual coupling metrics into aggregate coupling metrics so as to better identify couplings than separate measurements. However, there is no application that applies the ACE metric, so the calculation is still done manually which of course will take a lot of time and effort and is inefficient to apply to large and complex applications. Therefore, an aggregate coupling measurement tool was developed for Java-based software using the ACE metric. The tools have been verified from the unit level using the white-box strategy to the validation of the overall functionality using the black-box strategy. Testing the accuracy and performance of the system produces an accuracy value of 100% and an average of 385 times faster than manually counting.
Pengembangan Aplikasi Pembelajaran dengan Menerapkan Model Pembelajaran Teams-Games-Tournament (TGT) Berbasis Web (Studi Kasus: UPT SMP Negeri 6 Gresik) Anita Rizky Agustina; Fajar Pradana; 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

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Untuk dipublikasikan ke Jurnal JNTETI (Jurnal Nasional Teknik Elektro dan Teknologi Informasi)
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