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All Journal Bulletin of Electrical Engineering and Informatics Dinamika Informatika Martabe : Jurnal Pengabdian Kepada Masyarakat Diakronika Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Pendidikan dan Teknologi Indonesia Jurnal Dinamika Informatika (JDI) Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Applied Science and Technology Research Journal International Journal of Information Technology and Computer Science Applications (IJITCSA) JTH: Journal of Technology and Health Jurnal Ilmiah Informatika dan Komputer

Muhammad Fairuzabadi

Informatika, Universitas PGRI Yogyakarta, Indonesia

Author-ID : 550922

Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Social Sciences Other

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PENDAMPINGAN DAN PELATIHAN TEKNOLOGI INFORMASI DAN KOMPUTER (TIK) UNTUK MENINGKATKAN LITERASI DIGITAL GURU SD REJODADI BANTUL YOGYAKARTA Muhammad Fairuzabadi; Dhiniaty Gularso
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 6, No 5 (2023): martabe : jurnal pengabdian kepada masyarakat
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v6i5.1802-1815

Kegiatan pembelajaran secara daring menuntut para guru untuk meningkatan literasi digitalnya. Tujuan kegiatan pendampingan dan pelatihan bagi guru SD Rejodadi adalah untuk meningkatkan kemampuan literasi teknologi informasi dan komunikasi (TIK) guru sesuai surat Kepala SD Rejodadi No.420/152 tertanggal 4 Desember 2021. SD Rejodadi adalah SD imbas dengan 6 rombongan belajar yang terletak di pinggiran Kabupaten Bantul berbatasan dengan Kabupaten Sleman dan Kota Yogyakarta. Kegiatan pendampingan dan pelatihan ini diikuti oleh 8 guru SD yang terdiri atas 6 guru kelas, 1 kepala SD dan 1 guru olah raga. Pelatihan secara tatap muka dilaksanakan 3 kali yaitu 26 Februari 2022, 5 Maret 2022 dan 26 Maret 2022 bertempat di SD Rejodadi Kasihan Bantul Yogyakarta. Kegiatan pendampingan selain tatap muka dilakukan melalui media Whats App dan Email dilaksanakan selama bulan Februari – Maret 2022. Hasil kegiatan pendampingan dan pelatihan adalah (1) tingkat partisipasi guru dalam kegiatan pendampingan dan pelatihan sebesar 92%, dikarenakan pada saat pelaksanaan kegiatan, terdapat satu guru yang terjangkit virus Covid-19 sehingga harus isolasi mandiri, (2) Hasil review menunjukkan bahwa rata-rata guru SD Rejodadi sudah baik dalam mengembangkan media pembelajaran menggunakan power point dengan nilai rata-rata 3,21 pada skala 0-4 (3) pemahaman guru-guru tentang penggunaan aplikasi meningkat dari rata-rata 45,625 ke 66,25. Peningkatan nilai rata-rata yang belum optimal membutuhkan motivasi yang lebih tinggi lagi agar guru bersemangat dalam meningkatkan literasi digitalnya khususnya dalam menggunakan berbagai aplikasi Google.

Pemilihan Media Sosial Promosi PMB UPY dengan Metode Weight Product Muhammad Fairuzabadi; Firdiyan Syah; Tri Hastono
Jurnal Dinamika Informatika Vol 12 No 1 (2023): Jurnal Dinamika Informatika
Publisher : Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

This research aims to analyze the selection of social media for promoting the Master's Program (PMB) at the University of PGRI Yogyakarta (UPY) and develop a decision support system using the Weight Product method. The emergence of social media has brought new opportunities in the field of marketing, including PMB promotion at UPY. However, the success of promotions highly relies on choosing the right social media platforms. In this study, an evaluation is conducted on five popular social media platforms, namely Facebook, Instagram, Twitter, YouTube, and LinkedIn. The criteria used include the number of active users, target audience, promotional features, interaction level, and advertising costs. The weights for these criteria are determined through preliminary surveys and discussions with relevant experts. The Weight Product method is employed to calculate the ranking of social media platforms based on the criteria weights. Data is collected through online surveys administered to prospective students and analyzed using specialized software. The results of the analysis indicate that Instagram is the most suitable social media platform for PMB promotion at UPY, followed by Facebook and YouTube. This research provides a better understanding of how social media can be effectively utilized for PMB promotion at UPY. The developed decision support system can assist marketing staff in making better choices in selecting social media platforms for PMB promotion. The findings of this study are expected to enhance the effectiveness of promotions and the competitiveness of the PMB at UPY. Keywords: social media, promotion, Master's Program (PMB), Weight Product, Universitas PGRI Yogyakarta (UPY)

Enhancing Film Genre Classification Using FastText Embeddings, Bidirectional GRU (BiGRU), and Attention Mechanisms Muhammad Fairuzabadi; Munandar, Tb Ai
International Journal of Information Technology and Computer Science Applications Vol. 2 No. 3 (2024): September - December 2024
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58776/ijitcsa.v2i3.169

This research aims to enhance the classification of film genres using advanced natural language processing techniques. By integrating FastText embeddings with Bidirectional Gated Recurrent Units (Bi-GRU) and attention mechanisms, the proposed model addresses the limitations of existing methods that struggle with capturing both local and global dependencies within textual data. The model's performance is evaluated on a dataset from IMDb, demonstrating its capability to predict film genres from textual descriptions accurately. Key contributions include the development of a robust model architecture that effectively handles out-of-vocabulary words and contextual nuances, implementing regularization techniques such as DropConnect to improve generalization, and using advanced embeddings to enhance semantic representation. The results indicate significant improvements in genre classification accuracy, particularly for frequent genres, showcasing the model's potential for practical applications in media content analysis. Future work will address data imbalance and explore more sophisticated architectures to enhance performanc.

APLIKASI INFORMASI DAN PEMESANAN TIKET TRAVEL BERBASIS ANDROID (Studi Kasus: Syahputra Tour & Travel) Sari, Eka Nugraha; Sari, Marti Widya; Fairuzabadi, Muhammad
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 1 No. 1 (2022): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Syahputra Tour & Travel masih menggunakan cara konvensional dalamkegiatan pemesanan tiket serta pencarian jadwal keberangkatan seorang calonpenumpang,yaitumelaluiOutlet/LoketdanViaTeleponsaja.Caratersebutkurangefektifbaikdarisegiwaktumaupunbiayakarenabisaterjadiketidaksesuaian antara keinginan pelanggan dalam hal jam pemberangkatan ataubahkan tiketnya sudah terjual habis. Sehingga diperlukan aplikasi informasi danpemesanan tiket travel yang dapat memberikan informasi yang jelas serta tidakterbatas oleh jarak dan waktu dengan menggunakan media website atau mobile.Penelitian ini bertujuan untuk membangun aplikasi informasi dan pemesanan tikettravelberbasisandroid. Tahappengembanganaplikasimeliputianalisis,perancangansistem,implementasi, dan pengujian. Metode pengumpulan data dengan menggunakanmetodestudipustaka,wawancara,danobservasi.Aplikasiinformasidanpemesanan tiket travel berbasis android dibangun dengan bahasa pemrogramanPHPdan databaseMySQL. Aplikasiinformasidanpemesanantikettravelberbasisandroidyangdibuat dapat memberikan informasi travel dan pemesanan tiket. Sehingga dapatmemudahkan pelanggan untuk mengakses informasi dan pemesanan tiket traveldikarenakan tingkat efektifitas dan efisiensi fungsi dari mobile itu sendiri. Hasilpengujian sistem menunjukkan bahwa aplikasi ini layak dan dapat digunakansebagai alat untuk memberikan informasi dan untuk pemesanan tiket travel diSyahputra Tour &Travel.

Decision Support System for Prospective Scholarship Recipients Using SMARTER and Forward Chaining Method Muhammad Fairuzabadi; Agustia Rizki, Joyanda; Oyama, Sunggito
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 2 No. 1 (2023): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

The purpose of this research is to design and build a web-based decision support system application to determine prospective scholarship recipients at MAN 2 Yogyakarta and test its reliability. The Decision Support System is a problem solving system with supporting tools. This system can solve problems using algorithm methods. One of the decision support system methods that can be applied to scholarship cases at MAN 2 Yogyakarta is the Simple Multi-Attribute Rating Technique Exploiting Ranks (SMARTER) method and forward chaining. The SMARTER method is a decision support method by determining the criteria and sub-criteria and their weight using the ROC (Rank Order Centroid). Meanwhile, the forward chaining method is a search method or a forward tracking technique that starts with existing information and combines rules to produce a conclusion or goal. The advantages of the DSS that have been developed are as follows. (1) The DSS built can be used by the scholarship selection team to recommend students who have the potential to get scholarships more quickly and objectively (2) The DSS for prospective scholarship recipients that was developed uses two methods of calculation, namely the Simple Multi-Attribute Rating Technique Exploiting Ranks (SMARTER) and Forward Chaining methods, so that the prediction results are better and faster. The SMART method emphasizes more detailed criteria and the Forward Chaining Method allows for a faster selection process.

E-Learning Curriculum Thematic Rejodadi Elementary School Use Method UML-Based Hybrid Elsya Amalia, Aqbrila; Fairuzabadi, Muhammad; Wardani, Setia; Nor Azhari Azman, Mohamed
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 2 No. 1 (2023): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

The Ministry of Education and Culture of the Republic of Indonesia regulates regulation to education through the determination of SNP ie National Education Standards. The curriculum used in education in Indonesia is Curriculum 2013. Thematic integrated is a Suite implementation in the learning process using Curriculum 2013. Integrated thematic learning is learning by integrating several lesson contents into a theme. Rejodadi Elementary School is one institution with moderate education development moment this is working To always increase the quality of Good activity and service. The moment This Rejodadi Elementary School currently faces the Covid-19 pandemic, where is the learning process teach done fully online or online at home? There is online application or e-learning of course become a challenge alone for SD Rejodadi which was affected plague. The PHP programming language and MYSQL database are used in building system this. Method data collection using method studies literature, observation, and interviews. Based on matters, the author wants to create and design something E-learning application about material and questions For Rejodadi Elementary School students. Study This will take the title “E-Learning Curriculum Rejodadi Elementary School Thematic Use Hybrid-Based UML Methods.

Pengenalan Ekspresi Wajah untuk Mendeteksi Ketertarikan Siswa Sekolah Dasar dalam Mata pelajaran Menggunakan Metode CNN (Convolutional Neural Network) Syah, Firdiyan; Hastono, Tri; Fairuzabadi, Muhammad; Wahyu Ciptadi, Prahenusa; Warniasih, Kristina
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 3 (2025): JPTI - Maret 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.724

Efektivitas pembelajaran sangat dipengaruhi oleh tingkat ketertarikan siswa terhadap materi yang disampaikan. Salah satu indikator ketertarikan siswa yang dapat diamati adalah ekspresi wajah mereka selama proses pembelajaran. Namun, pengamatan manual oleh pendidik sering kali kurang akurat dan tidak konsisten. Oleh karena itu, pengenalan ekspresi wajah berbasis teknologi menjadi alternatif yang potensial untuk memantau dan menganalisis ketertarikan siswa secara objektif dan real-time. Penelitian ini menggunakan algoritma deep learning untuk mendeteksi ekspresi wajah siswa dan mengklasifikasikannya ke dalam kategori ketertarikan. Data diambil dari video pembelajaran yang direkam di lingkungan kelas. Model convolutional neural network (CNN) digunakan untuk ekstraksi fitur wajah, sementara algoritma klasifikasi emosi diterapkan untuk mengenali ekspresi yang relevan. Dataset pelatihan dan pengujian berupa gambar yang di photo kemudian di proses untuk menentukan ekspresi wajah siswa yang dan diberi label berdasarkan tingkat ketertarikan. Hasil penelitian menunjukkan bahwa model deep learning yang dikembangkan memiliki tingkat akurasi yang baik dalam mengenali ekspresi wajah siswa terkait ketertarikan. Model ini berhasil mendeteksi perubahan ekspresi secara konsisten dalam berbagai kondisi pencahayaan dan sudut pandang kamera. Dengan hasil ini, sistem yang diusulkan memiliki potensi untuk diimplementasikan sebagai alat pendukung dalam meningkatkan kualitas pembelajaran berbasis teknologi dapat mendukung dalam menentukan metode mengajar yang tepat.

Web Scraping Untuk Pengambilan Data Transaksi Penjualan Pada Markeplace Toko Online Jogjabatik Lahmi, Sulahmi; Wardani, Setia; Fairuzabadi, Muhammad
JIIFKOM (Jurnal Ilmiah Informatika dan Komputer) Vol 2 No 2 (2023): JIIFKOM
Publisher : Jurusan Informatika STTR Cepu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51901/jiifkom.v2i2.254

The online shop Jogjabatik is located at Perum Sidorejo Ngestiharjo, Kasihan, Bantul, which was founded by Mr. Dwi Pudji since 2006 which sells various kinds of batik clothes, traditional clothes, souvenirs and so on. The strategy of having more than one marketplace user makes it overwhelming for employees in the process of managing and preparing sales reports to be reported to the owner. Therefore, the authors designed a system with the help of web scraping techniques on every sale that has the ability to support the formation of an information system capable of absorbing data, presenting data systematically and quickly, so that Jogjabatik online store employees can retrieve detailed data from a web completely. This system is built with PHP programming language with MySQL database. Methods of data collection using the interview method. This Web Scraping system provides information on product sales reports at the Jogjabatik online store by utilizing web scraping techniques which are implemented on 3 marketplace accounts consisting of Lazada, Shopee and Tokopedia to assist Jogjabatik employees in making sales reports.

Peningkatan Digitalisasi Sejarah dan Tradisi Lisan Untuk Mendukung Wisata Religi Makam KHR. Bagus Khasantuka di Senuko Birsyada, Muhammad Iqbal; Wibowo, Bayu Ananto; Fairuzabadi, Muhammad; Listyawan, Irfan; Nur Jannah, Aisyiyah Faj’ri; Nurhakim, Habib Akbar; Andani, Devi; Adi, Angger Seta
Abdimas Galuh Vol 7, No 1 (2025): Maret 2025
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ag.v7i1.16355

Secara praksis pengembangan pariwisata dan kebudayaan memegang peranan krusial dalam kemajuan ekonomi serta penguatan identitas nasional. Salah satu destinasi wisata religi di wilayah Sleman Yogyakarta adalah komplek Sendang dan Makam K.H.R. Bagus Khasantuka. Komplek tersebut adalah masuk katagori wisata religi di Padukuhan Senuko Desa Sidoagung Godean-Sleman. Namun, sejak tahun 2015 sampai 2024 kawasan wisata religi Makam K.H.R. Bagus Khasantuka mendapatkan tantangan dalam menghadapi era digital saat ini. Tantangan tersebut salah satunya adalah dalam mempromosikan dan melestarikan destinasi wisata religi secara digital melalui teknologi informasi yang terpadu. Kurangnya kesadaran dan pemahaman masyarakat sekitar tentang pentingnya digitalisasi dalam pelestarian dan promosi sejarah lisan serta tradisi lokal menjadi salah satu hambatan utama dalam memperluas jangkauan promosi wisata. Tujuan Pengabdian ini untuk mengatasi gap antara potensi wisata religi dan realisasi kunjungan, serta rendahnya kapasitas digital masyarakat Senuko Sidoagung. Secara spesifik, program ini dirancang untuk meningkatkan digitalisasi tradisi lisan dan mengoptimalkan penggunaan teknologi informasi dalam promosi pariwisata, dengan harapan dapat meningkatkan kunjungan wisatawan dan, pada akhirnya mendukung ekonomi lokal. Pengabdian ini dilaksanakan menggunakan metode kolaboratif antara tim Pengabdi dengan masyarakat Padukuhan Senuko melalui kegiatan sosialisasi, pelatihan pengembangan konten digital, promosi digital, teknik digitalisasi, penerapan teknologi, pendampingan dan evaluasi. Hasil dari kegiatan Pengabdian diantaranya masyarakat mulai terbangun kesadarannya untuk ikut mengembangkan destinasi wisata religi di komplek Sendang Bagusan dan Makam K.H.R Bagus Khasantuka dengan partisipatif aktif. Kelompok masyarakat yang telah mendapatkan pelatihan digitalisasi mendapatkan keterampilan khusus berupa pengembangan media sosial khususnya dalam pengelolaan website, instagram, tiktok, facebook dan yutube secara aktif untuk mengembangkan platform media Khasantuka.id.

Advanced drug recommendation using long short-term memory and type-2 fuzzy logic integration Fairuzabadi, Muhammad; Rianto, Rianto; Juang Bertorio, Margala
Bulletin of Electrical Engineering and Informatics Vol 14, No 3: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i3.9180

This research on hybrid models for drug recommendation systems proposes long short-term memory (LSTM) and type-2 fuzzy logic (T2FL) to make its recommendations more accurate and reliable. The model leverages LSTM's ability to capture temporal patterns in medical data while addressing the inherent uncertainty through T2FL. Evaluation metrics such as mean absolute error (MAE), root mean squared error (RMSE), coefficient of determination (R²), accuracy, precision, recall, F1-Score, and area under the curve-receiver operating characteristic (AUC-ROC) demonstrate that the proposed model significantly outperforms traditional models like LSTM without fuzzy, linear regression, and random forest. Integrating these two methods results in more accurate and consistent predictions, making the model highly effective in handling complex and uncertain data. Practical implications include the potential for improving personalized treatment plans and patient outcomes in clinical settings. Future research directions involve applying this hybrid approach to larger, more diverse datasets and exploring additional hybrid methods that enhance prediction accuracy and model robustness. The findings suggest that the LSTM+T2FL model is a promising tool for advancing drug recommendation systems in the medical field.

Co-Authors Achmad Imam Dairobbi Adi, Angger Seta Aditya Wahana Aditya Wahana Agustia Rizki, Joyanda Aisyiyah Faj'ri Nur Jannah Akhmad Zaenal Abidin Amin, Meilan Khoirul Ardiansa, Picky Nanda Bertorio, Margala Juang Cahyo Putro Wardoyo Devi Andani Dhiniaty Gularso Eko Setyawan Elsya Amalia, Aqbrila Erizal Erizal Erizal, Erizal Faqihuddin Al Anshori Firdiyan Syah Ganang Prihatma Artha Hastono, Tri Irma Noviana Juang Bertorio, Margala Lahmi, Sulahmi Listyawan, Irfan Marti Widya Sari, Marti Mohd Nawi, Mohd Nasrun Muarrof, Muhammad Syafi’ Al Muhammad Iqbal Birsyada Muslikhah Nauval, Mukhamad Nor Azhari Azman, Mohamed Nur Jannah, Aisyiyah Faj’ri Nurhakim, Habib Akbar Picky Nanda Ardiansa Prahenusa Wahyu Ciptadi Priharyanta, Gilang Kurnia Puji Handayani Putri Puji Handayani Putri Putra, Widhi Arianto Rianto Rianto Rohmatulloh, Bimo Isya Sari, Eka Nugraha Setia Wardani Sunggito Oyama, Sunggito Syafi’ Al Muarrof, Muhammad Syah, Firdiyan Tb Ai Munandar, Tb Ai Tentua, Meilany Nonsi Tita Murti Cahyani Tri Hastono Wahyu Ciptadi, Prahenusa Warniasih, Kristina Wibawa Wibawa Wibawa Wibawa, Wibawa Wibowo, Bayu Ananto

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