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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Journal of Telematics and Informatics Jurnal sistem informasi, Teknologi informasi dan komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) Infotech Journal Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Komputer Terapan JITK (Jurnal Ilmu Pengetahuan dan Komputer) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Justek : Jurnal Sains Dan Teknologi Jurnal Sisfokom (Sistem Informasi dan Komputer) JURNAL TEKNOLOGI DAN OPEN SOURCE Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) Building of Informatics, Technology and Science GUYUB: Journal of Community Engagement Jurnal Teknologi Informasi Cyberku COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi Nusantara Journal of Computers and its Applications JAR'S (Journal of Advanced Research in Informatics) Babakti : Journal of Community Engangement Transaction on Informatics and Data Science SINAR: Sinergi Pengabdian dan Inovasi untuk Masyarakat JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Babakti: Journal of Community Engangement

Fathorazi Nur Fajri

Universitas Nurul Jadid

Author-ID : 937545

Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Transportation Other

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Classification of Final Project Titles Using Bidirectional Long Short Term Memory at the Faculty of Engineering Nurul Jadid University Warda, Faridatul; Fajri, Fathorazi Nur; Tholib, Abu
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 12, No 3 (2023): NOVEMBER
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v12i3.1723

Every year, the Faculty of Engineering at Nurul Jadid University forms a committee to manage the process of students' final projects from the title selection stage to the final examination process until graduation. The process of selecting the final project title is still done manually, namely by checking the titles one by one, which takes a long time and allows errors because there is a lot of data to check, so human errors can also occur. Therefore, this research proposes to use the Bidirectional Long Short Term Memory (BiLSTM) method to classify the final project title based on its grade category. Several experiments were conducted to generate the most appropriate labels. The first experiment produced 4 labels and the second experiment produced 2 labels. From the results of several experiments, it was concluded that the second experiment had the best accuracy results with the 'good enough' and 'good' classes. The oversampling technique was then applied to overcome overlapping data, and the turning process was then performed on several parameters that could re-optimize the previous accuracy result of 75.24% to 91.15%. With a configuration of 10 random state parameters, using 64 batch sizes and 50 epochs. In addition, model adjustments were made to the hidden layer by adding a dropout layer and relu activation.

Fire and Smoke Object Detection Using Mask R-CNN Fajri, Fathorazi Nur; Syaiful, Syaiful
COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi Vol 4, No 2 (2023): Pengaruh Big Data Analytics terhadap Pengambilan Keputusan Strategis di Organisa
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/coreai.v4i2.8015

Penelitian ini berfokus pada penggunaan teknologi computer vision, khususnya metode Mask R-CNN, dalam deteksi api dan asap pada kasus kebakaran hutan. Kebakaran hutan adalah masalah lingkungan yang serius, di mana metode deteksi tradisional sering terbatas oleh jangkauan visual dan kesalahan subjektif. Kami mengeksplorasi potensi teknologi computer vision sebagai solusi yang lebih efisien dan akurat. Dataset yang digunakan sebanyak 3465 gambar yang telah dianotasi dengan menggunakan roboflow. Jumlah dataset yang digunakan pada data training 2964 gambar, data validasi 854 gambar dan data testing 427 gambar. Model deteksi api dan asap menggunakan mask rcnn dengan menggunakan parameter learning rate 0.0025, image per batch 2 dan max iteration 10000. Adapun hasil yang diperolah pada average precision = 0.38 dan average recall = 0.29

Klasifikasi Nama Paket Pengadaan Menggunakan Long Short-Term Memory (LSTM) Pada Data Pengadaan Fajri, Fathorazi Nur; Syaiful, Syaiful
Building of Informatics, Technology and Science (BITS) Vol 4 No 3 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i3.2635

Every year the government always holds procurement of goods and services (tenders) which are informed through the Electronic Procurement Service (LPSE) or the General Procurement Plan Information System (SIRUP). The process of selecting the type of procurement is still manual, namely by selecting the package category so that it is possible for mistakes to occur such as the type of service procurement into the category of goods procurement type or vice versa. Therefore, this research proposes to use the Natural Language Processing (NLP) method that can classify these packages based on existing categories. The method used is Long Short-Term Memory (LSTM) by comparing existing classification methods such as naïve bayes, logistic regression, decision tree, XG Boost, Gradient Boost, Random Forest and Support Vector Machine. The results obtained by the LSTM method have a higher accuracy than other methods, with an accuracy of 90.25%. With a parameter configuration of 100 units in the LSTM layer, epoch 10, batch size 64 and validation step 5

Analysis And Design of Mobile Applications For Make-Up Artist Services (Halomua) With The Design Thinking Framework Fajri, Fathorazi Nur; Rizal, Fathur; Yaqin, Moh. Ainol; Purwanto, Zendi Ari
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 3 (2023): Article Research Volume 7 Issue 3, July 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i3.12483

Designing an application user interface design is an important part of creating an attractive application. However, there are several problems such as lack of attention to detail, failure to identify and solve customer problems, and poor planning or organization. The design thinking method performs stages ranging from empathize, define, ideate, and prototype, to usability testing to reduce these problems. At the empathize stage, data is obtained through interviews with MUAs and online questionnaires that have been filled out by respondents. At the define stage, a profile picture of each respondent along with their problems and goals was created. At the idea stage, feature mapping, information architecture, low fidelity wireframe, medium fidelity wireframe, and user flow are made so that it can facilitate users in operating the tasks designed in the application. The prototype stage is to create a flowchart design for each case so that users can find out how the application can run properly. The results of usability and user satisfaction are measured using the System Usability Scale (SUS). The SUS average value of 85.2 is obtained, which means that the value of the UI design results is included in category B with an "Excellent" status.

Fire and Smoke Object Detection Using Mask R-CNN Fajri, Fathorazi Nur; Syaiful, Syaiful; Priambodo, Wahyu Galih
Journal of Advanced Research in Informatics Vol 2 No 2 (2024): Journal of Advanced Research in Informatics
Publisher : Fakultas Teknik, Universitas Wiraraja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24929/jars.v2i2.3099

Edukasi Cyber untuk Peningkatan Literasi Digital: Menuju Desa Smart People Fajri, Fathorazi Nur; Moh. Dzikrillah; Ahmad Khairi
Babakti: Journal of Community Engangement Vol. 2 No. 1 (2025): April
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/babakti.v2i1.67

Kegiatan Pengabdian kepada Masyarakat (PKM) di Desa Karanganyar bertujuan meningkatkan literasi digital masyarakat, khususnya dalam penggunaan media sosial yang bijak dan bertanggung jawab. Program ini penting karena tingginya penggunaan media sosial belum diimbangi pemahaman tentang keamanan, etika, dan dampak negatif seperti hoaks dan cyberbullying. Edukasi ini dirancang untuk mewujudkan Desa Karanganyar sebagai "Desa Smart People" yang adaptif terhadap perkembangan teknologi. Analisis situasi menunjukkan rendahnya literasi digital dan minimnya edukasi formal di desa tersebut. Untuk mengatasi tantangan ini, diterapkan metode berupa ceramah, diskusi interaktif, simulasi praktis, serta pendampingan pasca-program. Keberhasilan kegiatan ini didukung oleh partisipasi aktif pemerintah desa dan tokoh masyarakat. Hasil program menunjukkan peningkatan signifikan dalam pemahaman peserta terkait literasi digital, bahaya hoaks, dan pentingnya menjaga privasi. Perubahan perilaku masyarakat terlihat dalam sikap yang lebih selektif terhadap informasi yang disebarkan. Program ini juga mendorong pemanfaatan media sosial untuk promosi produk lokal dan pariwisata desa. Secara keseluruhan, program ini meletakkan dasar transformasi digital di Desa Karanganyar dan dapat direplikasi untuk membangun masyarakat yang cerdas teknologi di desa lain.

Pengenalan Plat Nomor Menggunakan Optical Character Recognition Berbasis Android Untuk Meningkatkan Keamanan Kendaraan Di Universitas Nurul Jadid Fajri, Fathorazi Nur; Khairi, Ahmad; ibadi, Suhdil; Maulana, Agung
COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi Vol 2, No 1 (2021): Penggunaan Teknologi Informasi dalam Mendukung Pendidikan Jarak Jauh di Era Pand
Publisher : Universitas Nurul Jadid

Universitas Nurul Jadid memiliki sitem informasi kendaraan secara manual yang dilakukan satpam, sehingga proses dalam mendapatkan sitem informasi kendaraan yang menggunakan Surat Tanda Nomor Kendaraan yang di lakukan kurang maksimal di karenakan Mahasiswa seringkali tidak membawa Surat Tanda Nomor Kendaraan. Oleh karena itu, diperlukan sistem Pengenalan Plat Nomor Berbasis Android menggunakan Optical Character Recognition (OCR) Untuk Meningkatkan Keamanan Kendaraan Di Universitas Nurul Jadid agar informasi kendaraan lebih efektif. Pada penelitian ini terdapat 2 metode yaitu metode pengumpulan data dengan cara observasi dan wawancara. Sedangkan pengembangan sistem dengan menggunakan metode waterfall. Untuk bahasa pemograman menggunakan java android dan php serta basis data menggunakan MYSQL. Aplikasi pengenalan plat nomor berbasis android menggunakan Optical Character Recognition berhasil dibuat akan tetapi akurasi untuk deteksi plat nya masih kurang hal ini dikarenakan banyaknya variasi font pada plat nomor, bentuk cat pada huruf yang tidak rata dan penggunaan variasi atau ornamen pada plat nomor seperti stiker, baut dan penutup plat. Untuk mengatasi tersebut maka dibuatlah fitur input plat nomor sehingga aplikasi plat nomor untuk meningkatkan keamanan tetap berjalan.

Deteksi Tangan Otomatis Pada Video Percakapan Bahasa Isyarat Indonesia Menggunakan Metode YOLO Dan CNN Arifah, Indah Inayatul; Fajri, Fathorazi Nur; Pratamasunu, Gulpi Qorik Oktagalu
Journal of Applied Informatics and Computing Vol. 6 No. 2 (2022): December 2022
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v6i2.4694

Bahasa merupakan alat atau wahana untuk menyampaikan antar manusia satu dengan yang lainnya. Bagaimanapun, tidak setiap orang dapat menggunakan bahasa verbal dengan sempurna. Seperti orang yang tuli dan bisu, mereka tidak bisa menyampaikan apa yang ingin di sampaikan dengan baik. Tuli atau tunarungu adalah kekurangan kemampuan mendengar dari satu atau dua telinga. Dalam berkomunikasi tunarungu cenderung menggunakan bahasa isyarat. Salah satu bahasa isyarat yang sering digunakan ialah berupa angka, satu, dua, tiga, empat, dan lima. Dalam penelitian ini di gunakan metode You Only Look Once (YOLO) dan Convolutional Neural Network (CNN) untuk membantu sistem agar bisa membaca setiap gerakan yang dilakukan oleh tangan dan menghasilkan output berupa teks seperti tangan berisyarat satu bertuliskan satu atau tangan berisyarat dua bertuliskan dua dan seterusnya. Adapun tahapan yang dilakukan pada penelitian ini yaitu pengumpulan data , pengolahan gambar atau proses pre-processing data dalam pengimplementasian YOLO dan CNN. Setelah itu dilakukan uji coba dengan menggunakan Gambar dan video dari data BISINDO. Untuk hasil uji coba yang telah dilakukan menghasilkan akurasi sebesar 89 %.

Digital Fish Image Segmentation Using U-Net for Shape Feature Extraction Fathorazi Nur Fajri; Mohammad Dzikrillah; Ahmad Khairi
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 7 No. 2 (2024): Jurnal Teknologi dan Open Source, December 2024
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v7i2.3968

Segmentation of digital images of fish is an important challenge in image processing in the field of marine biology and aquaculture. Extraction of fish shape features through image segmentation can improve accuracy in species identification and fish population monitoring. The U-Net method, which is based on deep learning, has been proven effective in medical image segmentation and is beginning to be applied in fish image segmentation. This study aims to develop a fish digital image segmentation method using U-Net architecture for accurate and efficient fish shape feature extraction. The dataset used consists of 500 fish images of various shapes and sizes collected from various sources. The fish images were processed using a U-Net artificial neural network, which was trained and tested to obtain the best segmentation results, with evaluation using Intersection over Union (IoU). The segmentation results show that the U-Net method can produce precise segmentation, with a high degree of accuracy in extracting fish shape features. Evaluation of the segmentation metrics resulted in an IoU value of 0.88, indicating excellent performance in distinguishing the fish object from the background and accurately mapping the fish shape. The fish digital image segmentation method using U-Net is effective for fish shape feature extraction and can be applied in fish species identification and aquatic ecosystem monitoring.

DEVELOPMENT OF VT-UNUJA APPLICATION AS A WEBVR-BASED CAMPUS ENVIRONMENT INTRODUCTION MEDIA Miftahul Huda; Fathorazi Nur Fajri; Maulidiansyah Maulidiansyah
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 10 No. 3 (2025): JITK Issue February 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i3.5945

Conventional campus introductions are often limited in providing an immersive experience to prospective students, especially for those who cannot attend in person. This encourages the need for technology-based solutions that can overcome these limitations. This research develops a WebVR-based VT-UNUJA application as a campus introduction media that offers an interactive experience with 360-degree panoramic image features, hotspot descriptions, navigation, and voice-over. The purpose of this research is to create an application that can increase user understanding of campus locations and facilities more efficiently and easily accessible. The test results show that this application is effective in improving user understanding, with a high level of satisfaction with the ease of use and interactivity of the application. The benefits of this research are to contribute in improving campus professionalism in presenting information digitally, as well as providing innovative alternatives for other educational institutions in supporting the orientation process for prospective students.

Co-Authors Abd Rahman Abda Abda Abdur Rohman Sholeh Abu Tholib Afiqur Rahman Agung Maulana Agung Wahyu Firdaus Ahmad Khairi Ahmad Khairi Arie Wahyudi Arifah, Indah Inayatul Badir, Muhammad Dewi Sholehatin Diyah Ayu Aprilingga Dzikrillah, Mohammad Fadli Hidayat, M. Noer Fajrullah Fajrullah Fathur Rizal Furqon, Ainul Gulpi Qorik Oktagalu Pratamasunu Habibah Habibah Hadiyanto, Ridwan Halimatus Sa'diya Halimi, Ahmad Hasan, Muhammad Fadil Hasbul Bahar Ibadi, Suhdil Indri Ratna Sugianti Kamil Malik Khairi, Ahmad Khoirun Nisa' Malik, Kamil Matbulul Khairi Maulana, Agung Maulidiansyah Maulidiansyah Miftahul Huda Milzamah Elvi Laily Moh Jasri Moh. Budi Utomo Setiawan Moh. Dzikrillah Moh. Rusli Azizi Mohammad Dzikrillah Muafi Muhammad Roziqin Musfiroh Musfiroh Nadiyatus Sholihah Nurul Hidayattun Nasyihin Priambodo, Wahyu Galih Puji Kurnia Sari Purwanto Purwanto Purwanto, Zendi Ari Ricardus Anggi Pramunendar Shodiq, Wali Jafar Siti Aisyah Suci Rahayu Agustini Suhdil Ibadi Syaiful . Syaiful Syaiful Uky Oktavia Risti Permatasari Uswatun Hasanah Wahab Sya’roni Wali Ja’far Shudiq Warda, Faridatul Wiwin Yuliana Yaqin, Moh. Ainol Yuliana, Wiwin Zainal Arifin Zainal Arifin

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