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All Journal TEKNIK INFORMATIKA E-Jurnal Ekonomi Pembangunan Journal of Public Policy and Management Review Menara Riau: Jurnal Ilmu Pengetahuan dan Pengembangan Masyarakat Islam Daya Saing : Jurnal Ilmu Manajemen JOIN (Jurnal Online Informatika) Jurnal Ilmiah Ekonomi dan Bisnis Jurnal Pengabdian UntukMu NegeRI Sinkron : Jurnal dan Penelitian Teknik Informatika As-syifaa Jurnal Farmasi Jurnal Akuntansi dan Ekonomika International Journal of Technology And Business Jurnal Sisfokom (Sistem Informasi dan Komputer) IJID (International Journal on Informatics for Development) Gorontalo Accounting Journal Ensiklopedia of Journal Indonesian Journal of Economics, Social, and Humanities ComTech: Computer, Mathematics and Engineering Applications Jurnal Mandala Pharmacon Indonesia Jurnal Akuntansi Kompetif Diklat Review : Jurnal manajemen pendidikan dan pelatihan Jurnal Pendidikan dan Konseling Cyber Security dan Forensik Digital (CSFD) Indonesia Berdaya Jurnal Pendidikan, Sains, Geologi, dan Geofisika (GeoScienceEd Journal) FARABI: Jurnal Matematika dan Pendidikan Matematika SOCIAL : Jurnal Inovasi Pendidikan IPS Jurnal Akuntansi, Manajemen, Bisnis dan Teknologi JCA (Jurnal Cendekia Akuntansi) Journal of Health Research Science BIOVALENTIA: Biological Research Journal Taroa : Jurnal Pengabdian Masyarakat Southeast Asian Journal of Islamic Education Dedikasi: Jurnal Pengabdian Kepada Masyarakat International Journal of Tourism and Hospitality in Asia Pasific Linguisic, Literature, and English Education Jurnal Bisnis Kompetitif Jurnal IAKP: Jurnal Inovasi Akuntansi Keuangan & Perpajakan Innovative: Journal Of Social Science Research Jurnal Pengabdian Kepada Masyarakat Ekonomi, Pendidikan, dan Sosial Humaniora Majalah Cendekia Mengabdi Jurnal Akademik Pengabdian Masyarakat Jurnal Pengabdian Kompetitif The International Journal of Medical Science and Health Research IPTEKIN : Jurnal Kebijakan Pembangunan dan Inovasi Jurnal Teras Pengabdian Masyarakat
Arini Arini
Fakultas Ekonomi dan Bisnis Universitas Udayana
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Journal : TEKNIK INFORMATIKA

 1 
PUSH NOTIFICATION MONITORING SISTEM PINTU AIR BERBASIS ANDROID MENGGUNAKAN FIREBASE CLOUD MESSAGING Fernando, Frandia; Arini, Arini; Fahrianto, Feri
JURNAL TEKNIK INFORMATIKA Vol 13, No 1 (2020): JURNAL TEKNIK INFORMATIKA
Publisher : Prodi Teknik Informatika Universitas Islam Negeri Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (809.704 KB) | DOI: 10.15408/jti.v13i1.15884

Abstract

Flood disaster is very common, especially in Jakarta City. One way to control water debit is to create a dam or reservoir. In each reservoir there is a water gate which serves to dispose of unwanted water gradually or continuously according to the water volume present in the dam. The Regional Disaster Management Agency (BPBD) Jakarta City needed a system that can monitor any existing water gates of the reservoir, this is to facilitate water gate inspectors to provide information. By using firebase cloud messaging technology that will be applied in the application of push-based android water doors. The application will provide notification and water gate data in real time, making it easier for users to get data in real time. Firebase Cloud Messaging is a cross platform solution that allows you to send messages reliably at no cost. In addition, the use of API as a processing medium to pull data from the web BPBD, optimize its function to mobile android. BPBD as the agency that tackling the disaster can know the state of the environment quickly and accurately. Applications created not only made for BPBD only but the general public can also to know the condition of the water gate. In addition, there are also ways of handling floods and what to do at each level of water level.For the next, this application can add other technollgy also IoT technology.
Performance Analysis of Transfer Learning Models for Identifying AI-Generated and Real Images Arini, Arini; Azhari, Muhamad; Fitri, Isnaieni Ijtima’ Amna; Fahrianto, Feri
JURNAL TEKNIK INFORMATIKA Vol. 17 No. 2: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v17i2.40453

Abstract

This study aims to analyze and compare the performance of three transfer learning methods, namely InceptionV3, VGG16, and DenseNet121, in detecting AI-generated and real images. The background of this research is the unknown performance of transfer learning methods for detecting AI-generated and real images. This study introduces innovation by conducting 54 experiments involving three types of transfer learning, three dataset split ratios (60:40, 70:30, and 80:20), three optimizers (Adam, SGD, and RMSprop), two numbers of epochs (20 and 50), and the addition of dense and flatten layers during fine tuning. Performance evaluation was conducted using binary cross entropy loss and confusion matrix. This research provides significant benefits in determining the most effective transfer learning model for detecting AI-generated and real images and offers practical guidance for further development. The results show that the InceptionV3 model with the Adam optimizer, an 80:20 split ratio, and 20 epochs achieved the highest accuracy of 84.26%, with a loss of 39.54%, precision of 81.33%, recall of 82.43%, and an F1-Score of 81.88%.
Enhancing Speech-to-Text and Translation Capabilities for Developing Arabic Learning Games: Integration of Whisper OpenAI Model and Google API Translate Khairani, Dewi; Rosyadi, Tabah; Arini, Arini; Rahmatullah, Imam Luthfi; Antoro, Fauzan Farhan
JURNAL TEKNIK INFORMATIKA Vol. 17 No. 2: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v17i2.41240

Abstract

This study tackles language barriers in computer-mediated communication by developing an application that integrates OpenAI’s Whisper ASR model and Google Translate machine translation to enable real-time, continuous speech transcription and translation and the processing of video and audio files. The application was developed using the Experimental method, incorporating standards for testing and evaluation. The integration expanded language coverage to 133 languages and improved translation accuracy. Efficiency was enhanced through the use of greedy parameters and the Faster Whisper model. Usability evaluations, based on questionnaires, revealed that the application is efficient, effective, and user-friendly, though minor issues in user satisfaction were noted. Overall, the Speech Translate application shows potential in facilitating transcription and translation for video content, especially for language learners and individuals with disabilities. Additionally, this study introduces an Arabic learning game incorporating an Artificial Neural Network using the CNN algorithm. Focusing on the “Speaking” skill, the game applies to voice and image extraction techniques, achieving a high accuracy rate of 95.52%. This game offers an engaging and interactive method for learning Arabic, a language often considered challenging. The incorporation of Artificial Neural Network technology enhances the effectiveness of the learning game, providing users with a unique and innovative language learning experience. By combining voice and image extraction techniques, the game offers a comprehensive approach to enjoyably improving Arabic speaking skills.
Feature Extraction Using Mel-Frequency Cepstral Coefficients (MfCC) Technique For A Tajweed Guess Based on Android Application Development Hulliyah, Khodijah; Kultsum, Lilik Ummi; Wibowo, Wahyu Hendarto; Setianingrum, Anif Hanifa; Arini, Arini; Durachman, Yusuf
JURNAL TEKNIK INFORMATIKA Vol. 18 No. 1: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v18i1.44721

Abstract

The development of information and communication technology today has had a significant impact on various aspects of life, including education. One notable example is the increasing number of applications designed for learning to recite the Quran with proper tartil. The growing trend of tahfidz (Quran memorization) is undoubtedly a positive development from a religious perspective. However, many individuals focus solely on memorization without acquiring the ability to recite the Quran properly and accurately. One discipline that supports proper Quran recitation is the knowledge of tajweed. Numerous applications have been developed in this field, especially on Android platforms. However, applications that utilize artificial intelligence (AI) to recognize tajweed rules and involve users in guessing tajweed readings are still in need of further development. The aim of this research is to develop a tajweed learning application using the concept of Automatic Speech Recognition (ASR). This study employs data collection methods such as literature review, quantitative methods, and testing. The design is represented using Unified Modeling Language (UML), while the application is tested using the Black Box Testing method. For data analysis and testing of the speech recognition model, the Hidden Markov Model (HMM) algorithm is employed, with Mel-Frequency Cepstral Coefficients (MFCC) used for feature extraction. The output of this research is an Android-based tajweed learning application that integrates speech recognition and allows users to guess tajweed rules interactively.
Co-Authors Aditya firmansyah Ahmad Parlaongan Al Fath, Miftahul Kahfi aljufri aljufri, aljufri Altia Pawistri Amorine, Sheryl Andrew Fiade Anif Hanifa Setianingrum, Anif Hanifa Antoro, Fauzan Farhan Ardayati Arimurti, Trias Arini Arsel, Aditya Dwitama Aslam, Fazri Athori, Agus Atria , Martina Aulia Anisa Az-Zahra Aulia Dwi Ananda Putri Aulia Wati, Aulia Ayu Oktaviani, Ayu Ayyas Yahya Azainil Azainil Baharsyah , Ridwan Bakti, Siti Meyla Bayu Putra, Bayu Br. Simamora, Feronika Budiman, Andi Zahran Charunia Putri Banowati Dama Mustika Dariati, Anis Mahmudah Darmin Darmin, Darmin Dodik Juliardi Dwika Lodia Putri Dyah Iriani Eka Puji Lestari ENNIE CHAHYADI, ENNIE Erina Dewi Fatmasari Erliana, Ria Ervianingsih, Ervianingsih Eva Amalia Faujiah, Nur Febryanti . P, Putri Feby Febryanti. P, Putri Feby Feri Fahrianto Fernando, Frandia Ferro Nika Ningsih N, Putri Dwi Firmansyah, Aditya Firmansyah, Tegar Firmansyah, Tegar Dwi Fithrie, Souvya Fitrah Hidayah Fitri, Isnaieni Ijtima’ Amna Fitriana Fitriana Franciscus, Petra Gustini, Gustini Haeruddin Haeruddin Hasbullah, Nurhijjah Hendra Cipta Hidayah, Fitrah Hudha, Mokhamad Choirul Husni Teja Sukmana Husnul Khatimah, Nur Hutagaol, Iin Octaviana Idham, Syamsinar Indrani4, Farihah Isyanto, H. Puji Jaya, Raymond Trisno Jufri, Al Juhriati Jumainap Rumjani, Zuarda Juniyanti, Indah Kaisah, Nur Karimi, Husain Faiz Khairani, Dewi Khodijah Hulliyah Kultsum, Lilik Ummi Kurniawan, Nauri Laelatuzza'rah Laili Komariyah, Laili Lambang Subagiyo Lathifah, Lathifah Lina, Nike Loekman, Zulvianira Luh Kesuma Wardhani Luthfi Arsalan, Muhammad M Zais M. Noris M. Zais Made Dwi Setyadhi Mustika Maesaroh Maesaroh Manalu, Doresly Handayanti Manalu, Erawati Margaretha S, Giovanny Maryana Maryana, Maryana Masirun masirun masirun, masirun Mastorat Matin, Iik Muhammad Malik Maulana, Restu Agung Meyla Suhendra Milanda Putri, Aprilia Minarti, Siti MMSI Irfan ,S. Kom Muhamad Azhari Muhammad Ramli muhammad rizky, muhammad Muhammad Zidni Ilman Nafiah Mujianti, Cicik Mujianti Mulawarman, Widyatmke Gede Musaidah, Musaidah Mustakim, Putri Dwiyanti Adha Musthaufi, Mohd Mustofa Mustofa MZ, Muhammad Amanullah Mz, Muhammad Amanulloh Nashrul Hakiem Natra, Tajri Nery Sofiyanti Nika Ningsih N, Putri Dwi Ferro Ningsih, Cindi Rahayu Ningsih, Cindy Rahayu Ninik Nihayatul Wahibah Ninik Nihayatul Wahibah Novianti, Serly Novianti, Sherly Nugraha, Danuarta Nur Azizah Nurasmi, Nurasmi Nurlaili Nurlaili Pawistri, Altia Prawijaya, Ardianto Putri , Aprilia Milanda Putri, Aprilia Milanda Puzi Lestari, Eka Rahmatullah, Imam Luthfi Rahmi, Syifa Aulia Rakhmat, Syahgita Rakhmawati, Fibri Ramadani, Ummi Fadhilah Ramadhan, Adil Ramadhani, Rika Ramadhani, Ummi Fadhilah Rangkuti, Abriadi Rasyid, Rizky Nayzila Ratnawati, Eny Refianto, Eddy Reni Farwitawati, Reni Resvani, Syahyu Rhosmiati, Rhosmiati Ririn Safitri Rohmatin, Binti Laila Rohmatin, Binti Lailatur Roza Elvyra Rubil, Rubil Safriani Rahman, Safriani Safrizal Safrizal Saputra, Sahrul Satia Nur Maharani seswandi, agus Setiawan, Rinaldi Siagian, Elizabeth Simamora, Feronika Br. Sinaga, Triani Angelika Siti Istiningsih Siti Minarti Siti Ummi Masruroh Sitti Amirah Situmorang, Oktavyandi Subhannur Rahman, Subhannur Sugianto Sugianto Syam, Ardiyan Saputra Tabah Rosyadi Tajri Natra Tasalim, Rian Tegar Firmansyah Trisno, Raymond Warman Warman Wibowo, Ericha Lisa Wibowo, Wahyu Hendarto Wijaksono, Muhammad Arief Yahya, Masrur Yanti, Dessy Yulisda Yasir, Sidik Yusuf Abdurachman Zaharman Zaharman, Zaharman