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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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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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Abstract

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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Abstract

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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Abstract

Untuk dipublikasikan ke Jurnal JNTETI (Jurnal Nasional Teknik Elektro dan Teknologi Informasi)
Pengembangan Sistem Manajemen Bimbingan Skripsi Mahasiswa Berbasis Web (Studi Kasus : Fakultas Ilmu Komputer Universitas Brawijaya) Haryowinoto Rizqul Aktsar; Fajar Pradana; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 6 (2021): Juni 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Undergraduate thesis writing process for college students at the Faculty of Computer Science (FILKOM) Brawijaya University is currently implemented by conducting thesis guidance directly or through the media provided by the lecturer. Several problems occur in the thesis writing process, such as the process of providing links and document access rights is done manually and inefficient which requires communication between lecturers and students. The increasing number of journals makes it difficult to find research references with the same discussion as the student thesis topic. Writing keywords experiencing errors due to human errors and keywords are also less than optimal because keywords are determined manually. In this study, a student thesis guidance manajemen system was developed which could facilitate students in conducting thesis guidance and assisting lecturers in manajemen student thesis guidance through one platform. This system utilizes several algorithms to obtain journal and keyword recommendations. These algorithms include preprocessing text, TF-IDF, and cosine similarity. The software development model used by this system is the waterfall model. Systems are tested using unit testing, validation, and compatibility. The results of validation testing conducted in all test cases give a value of 100% valid.
Analisis Sentimen Masyarakat terhadap Penggunaan Masker di Masa Pandemi Covid-19 berdasarkan Tweet menggunakan Metode SVM Ihza Razan Alghifari; Nanang Yudi Setiawan; 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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Abstract

Untuk dipublikasikan di Jurnal Sistem Informasi Bisnis (JSINBIS)
Klasifikasi Emosi Berdasarkan Ekspresi Wajah Menggunakan Metode Extreme Learning Machine dan Algoritme Genetika Untuk Seleksi Fitur Mufidatun Nuha; 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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Abstract

Emotion is a feeling of a person's feelings that can influence a person's decision to act and behave. The most recognizable and identifiable expressions of a person's emotions are facial expressions. Research related to emotion recognition based facial expressions is relatively new research and its application is comprehensive in various fields such as academia, industry, and government. Emotion recognition requires a classification method capable of recognizing the type of emotion of each facial expression and a feature selection method to select optimal features. Therefore, this study will classify emotions based on facial expressions by implementing the Extreme Learning Machine (ELM) method as a classification method and Genetic Algorithm (GA) to select the most optimal features. Based on implementation and analysis, the average accuracy by the ELM and Genetic Algorithm is 82,87879% with the number of generations = 22, population size = 70, crossover rate = 0,8, mutation rate = 0,2, and the number of hidden neurons = 40. These results were compared with the ELM method without Genetic Algorithm which implies an average accuracy of 72,12121%. The accuracy results obtained from the two methods show that the feature selection using Genetic Algorithm has succeeded in increasing the average accuracy generated by ELM by 10,75758%. Genetic Algorithm is moreover succeeded in selecting features with an average of 63 selected features from a total of 136 features.
Klasifikasi Ulasan Palsu menggunakan Borderline Over-sampling (BOS) dan Support Vector Machine (SVM) Aisyah Awalina; Fitra Abdurrachman Bachtiar; Indriati Indriati
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 Informasi dan Ilmu Komputer (JTIIK)
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