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All Journal Jurnal Pendidikan Teknologi dan Kejuruan Journal of Education and Learning (EduLearn) Jurnal RESISTOR (Rekayasa Sistem Komputer) Journal of Computer Science and Informatics Engineering (J-Cosine) Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA ) JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Jurnal Abdi Insani Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Begawe Teknologi Informasi
Arik Aranta
Fakultas Teknik, Universitas Mataram
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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VERIFIKASI SUARA MAHASISWA SEBAGAI ALTERNATIF PRESENSI KEHADIRAN MENGGUNAKAN EKSTRAKSI FITUR MFCC DAN KLASIFIKASI LVQ Muhammad Afif Ma'ruf; Arik Aranta; Fitri Bimantoro
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 4 No 2 (2022): September 2022
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v4i2.211

Abstract

Attendance is an essential thing in the learning process. In recent years, technology development has been relatively rapid, one of which is in attendance recording. Attendance registration can now be done using QR-Code, palm, face recognition and digital signature. There are shortcomings, such as the lack of flexibility in the attendance process and the problem of the pandemic being limited by distance. The existence of the teacher's online method makes it challenging to communicate. Based on these problems, this study was presented to build a voice verification model using the Mel-Frequency Cepstral Coefficients (MFCC) and Learning Vector Quantization (LVQ) methods as an alternative attendance. This study uses text-dependent recorded data from 35 speakers. In this study, verification was carried out with the condition of using a mask and without a mask. This study obtained an average margin of similarity score of 80% of the average similarity score of 93.96% native speakers and 67.58% fake speakers. The best test results were obtained at a threshold of 0.85 with an accuracy value of 86.2%, precision of 87.86%, and recall of 84% when using a mask, while without a mask the value of accuracy was 90%, precision was 88.97%, and recall was 91.17%
Sosialisasi Pemasaran Hasil Bumi Berbasis Digital Marketing di Desa Peneda Gandor, Kabupaten Lombok Timur, NTB Gibran Satya Nugraha; I Gede Pasek Suta Wijaya; Fitri Bimantoro; Ario Yudo Husodo; Arik Aranta; Ramaditia Dwiyansaputra
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 6, No 1 (2023): Januari 2023
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/ja.v6i1.973

Abstract

Pulau Lombok terkenal sebagai tempat wisata yang banyak dikunjungi oleh wisatawan lokal maupun mancanegara. Selain itu pulau Lombok atau yang dikenal dengan bumi Sasak juga terkenal dengan kekayaan sumber daya alam yang berlimpah ruah, yang tentunya harus dimanfaatkan dengan maksimal khususnya oleh masyarakat Lombok itu sendiri. Desa Peneda Gandor adalah salah satu desa di Kecamatan Labuhan Haji, Kabupaten Lombok Timur. Sebagian besar penduduk Desa Peneda Gandor memiliki pekerjaan sebagai petani. Tidak mengherankan jika berkebun atau bertani menjadi sumber mata pencaharian warga Desa Peneda Gandor, karena hasil bumi yang melimpah tentunya menjadi lahan pekerjaan bagi mereka. Hasil bumi dari Desa Peneda Gandor antara lain adalah tembakau, cabe, tomat, pupuk organik, dsb. Dari permasalahan tersebut dibutuhkan sebuah sosialisasi pemasaran hasil bumi atau sumber daya alam berbasis digital marketing di Desa Peneda Gandor. Kegiatan ini diharapkan dapat membantu warga Desa Peneda Gandor dalam memasarkan hasil buminya, sehingga nantinya dapat mengoptimalkan keuntungan dari hasil penjualannya. Materi yang diajarkan pada sosialisasi ini berkaitan dengan: Teknologi yang dapat dimanfaatkan untuk memasarkan hasil bumi berbasis digital marketing. Tutorial menggunakan kamera smartphone untuk mengambil gambar produk. Kalimat promosi yang menarik perhatian calon pembeli. Tips berkomunikasi yang baik terhadap calon pembeli
SPEECH TO TEXT BAHASA SASAK MENGGUNAKAN EXTRAKSI FITUR MEL-FREQUENCY CEPSTRAL COEFFICIENTS DAN KLASIFIKASI CONVOLUTIONAL NEURAL NETWORKS Belmiro Razak Setiawan; Arik Aranta; Budi Irmawati
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 5 No 1 (2023): March 2023
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v5i1.235

Abstract

Artificial intelligence technology allows digital signals to be processed by computers. Currently speech to text is available only in Indonesian and English versions. Speech to text is a system that performs commands from human voice input and is then translated into words. The development of speech to text in regional languages ​​is needed because it can be a bridge between culture and technological progress. From 5 research literature, it was found that the mel-frequency cepstral coefficients (MFCC) and convolutional neural networks (CNN) methods are a combination of the commonly used voice signal analysis methods and get accuracy between 70.00% to 99.00%. This study uses the CNN and MFCC methods in the speech to text field to recognize the Sasak language and convert it into text. The result of this research is a real time conversion system from voice to text in Sasak language. The analysis carried out includes determining the best amount of training data, testing the training data on the number of votes based on accuracy, the sensitivity of the algorithm to words that have similar prefixes using the MFCC method as feature extraction and CNN as a classifier for the voice dataset. This study aims to obtain the accuracy of the dataset used and the sensitivity of the algorithm to sentences that have similarities. In this study got 2 results. The first result is the result of training with the accuracy of CNN training is 90% and loss is 0.5%. The second result is the result of an experiment using 3 voice samples for each word on the dateset with 43 correct words, 6 correct words 2, 1 correct word 1 and none of the words incorrect. So it has a percentage of 86% all correct, 12% correct 2, and 2% correct 1, and 0% all wrong.
Sosialisasi Internet Sehat Dan Pelatihan Penggunaan Internet Sebagai Media Penunjang Pembelajaran Di SD Negeri Anggaraksa: Safety Internet Socialization and Training on Using the Internet as a Media To Support Learning at SD Negeri Anggaraksa Santi Ika Murpratiwi; Sri Endang Anjarwani; I Gede Pasek Suta Wijaya; Arik Aranta
Jurnal Begawe Teknologi Informasi (JBegaTI) Vol. 4 No. 2 (2023): JBegaTI
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbegati.v4i2.1111

Abstract

Perkembangan teknologi informasi mempermudah berbagai aspek kehidupan. Semenjak adanya internet membuat keterbukaan informasi semakin nyata sehingga perlu sekali informasi terkait batasan dalam berselancar di dunia maya. Kegiatan pengabdian kepada masyarakat di SD Negeri 1 Anggaraksa. Kabupaten Lombok Timur, Nusa Tenggara Barat merupakan salah satu usaha untuk membantu pihak sekolah untuk bisa menggunakan internet secara sehat dan memanfaatkan internet untuk tujuan pembelajaran. Kegiatan ini dikemas dalam bentuk sosialisasi dan pelatihan penggunaan software (perangkat lunak) yang dapat digunakan untuk mendukung proses pembelajaran di SD Negeri Anggaraksa. Permasalahan yang dihadapi dalam kegiatan pelatihan ini adalah kendala jaringan yang diakibatkan tidak adanya internet untuk beberapa provider internet di wilayah Anggaraksa. Meskipun demikian, segala keterbatasan tidak menyulutkan semangat dari Bapak Ibu guru dan staf untuk belajar bersama. Salah satu media penunjang pembelajaran yang dilatihkan adalah Google Form. Aplikasi dan pelatihan ini diharapkan dapat membantu para guru dan staf untuk membuat formular online yang dapat bermanfaat untuk kebutuhan sehari-hari, yang bisa mendukung kegiatan Pendidikan, akademik ataupun non akademik. Kegiatan ini berjalan lancar dilihat dari hasil yang didapat bahwa sebagian besar beserta dapat membuat formulir menggunakan Google Form dan antusiasme peserta yang hadir dari awal hingga akbir sesi kegiatan sosialisasi dan pelatihan ini.
PELATIHAN PENGGUNAAN APLIKASI DIGITAL PADA MASYARAKAT DESA GUMANTAR KABUPATEN LOMBOK UTARA GUNA MENDUKUNG PROGRAM DESA DIGITAL Arik Aranta; I Gede Pasek Suta Wijaya; Ramaditia Dwiyansaputra; Ario Yudo Husodo; Gibran Satya Nugraha; Fitri Bimantoro; Muhammad Daden Kasandi Putra Wesa
Jurnal Abdi Insani Vol 10 No 4 (2023): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v10i4.1037

Abstract

Digital villages represent a rapidly evolving phenomenon that has become highly significant in the modern era. The Faculty of Engineering at Mataram University has taken proactive steps to address this pressing issue by accelerating the implementation of digital villages in Gumantar Village, North Lombok Regency, with a specific focus on the Lembah Telaga farming group. This community engagement effort is concentrated on two key aspects: the development of internet connectivity infrastructure and the enhancement of internet literacy, particularly in the context of agriculture. The primary objective of this project is to provide much-needed internet access to the community and to equip individuals with the skills necessary to swiftly engage in activities and information exchange. This is particularly crucial in the agricultural sector, which heavily relies on fast and accurate access to information. Remarkably, all participants, including residents and members of the Lembah Telaga farming group who own smartphones, have successfully achieved full proficiency in utilizing the newly installed internet infrastructure. Telkomsel Orbit Star was chosen as the optimal device to meet the unique needs of North Lombok Regency, specifically in Gumantar Village. This infrastructure is expected to become a valuable asset in supporting the digitalization and advancement of the Lembah Telaga farming group in the future. The success of this project is evident in the improved capabilities of the community to access various internet platforms such as YouTube, Google, and Instagram. With the newfound knowledge they have gained, the residents of Gumantar Village now have unlimited internet access through Telkomsel orbital internet device installed at the Lembah Telaga farming group training facility. This significantly facilitates their ability to access agricultural information on the internet, thereby enhancing their potential and prospects in an increasingly digitally connected agricultural landscape.
Co-Authors Ario Yudo Husodo Ario Yudo Husodo Ario Yudo Husodo Belmiro Razak Setiawan Budi Irmawati Dewa Ayu Indah Cahya Dewi Fitri Bimantoro Fuad Fadlila Surenggana Gibran Satya Nugraha Gibran Satya Nugraha Gibran Satya Nugraha Gibran Satya Nugraha Haidar Rahman Haidra Rahman I Gede Andika I Gede Pasek Suta Wijaya I Gusti Agung Indrawan I Putu Teguh Putrawan Muhammad Afif Ma'ruf Muhammad Daden Kasandi Putra Wesa Muhammad Khaidar Rahman Noor Alamsyah Patriaji Ibrahim Maulana Ramaditia Dwiyansaputra Ramaditia Dwiyansaputra rizka amalia Santi Ika Murpratiwi Santi Ika Murpratiwi Sri Endang Anjarwani