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Improvement Of Query Speaking on The Indonesian to Madura Dictionary Using Levenshtein Distance Method Ubaidillah, M. Yahya; Kurniawan, Muchamad; Rosetya Wardhana, Septiyawan
International Journal of Artificial Intelligence & Robotics (IJAIR) Vol. 3 No. 2 (2021): IJAIR : November
Publisher : Informatics Department-Universitas Dr. Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25139/ijair.v3i2.4258

Abstract

Men are distinguished from other living beings by their use of language, which becomes one of their most distinctive and humanistic qualities. Many different languages are spoken worldwide, including Indonesian, which has approximately 742 different dialects. Due to the unique language of Madura, which is located on a large island with numerous beach tourism destinations, tourists will have difficulty navigating the island. People outside Madura Island who come to visit or vacation will find it difficult to communicate with the locals during their stay or holiday. An Indonesian to Madurese translation dictionary is therefore required in this case. The Levenshtein Distance method was employed in this investigation. The algorithm in the dictionary is used to process the search for the closest distance (dif) between the words being inputted and the words that are already in the database. To provide a prototype for the use of dictionaries. Indonesian and Madurese data sets were used in the investigation by the researcher. According to the simulation results acquired after multiple trials, the error accuracy was 90 % for the first letter input, 84 % for the middle letter input, and 84 % for the last letter input for the first letter. As a result, according to the study's findings, the accuracy of this dictionary increased by 86 %. The first letter received 90 % of the votes, the middle letter received 84 %, and the last letter received 84 %. As a result, according to the study's findings, the accuracy of this dictionary increased by 86 %. The first letter received 90 % of the votes, the middle letter received 84 %, and the last letter received 84 %. As a result, according to the study's findings, the accuracy of this dictionary increased by 86 %.
Continuance Intention Pada Aplikasi Mobile Payment Dengan Menggunakan Extended Expectation Confirmation Model Ubaidillah, M. Yahya; Pramana, Edwin; Chandra, Francisca Haryanti
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 5 No 2 (2023): August
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v5i2.359

Abstract

This study aims to identify the factors that influence the intention to continue using the mobile payment application during the new normal period after the COVID-19 pandemic, using the Extended Expectation Confirmation Model (EECM) approach. EECM combines aspects of the Expectation Confirmation Model (ECM) with other external factors, ECM is used to understand and explain decision-making related to the continued use of mobile payments. This research was conducted by analyzing data from respondents who have used mobile payment applications after the pandemic. The data was collected through an online survey and analyzed using Structural Equation Modeling (SEM) with the help of Analysis of Moment Structures (AMOS) software, 406 individuals were selected to serve as research participants. The results of the analysis show that factors such as satisfaction, and trust have a significant influence on the continuance intention of mobile payments. In addition, in the context of the new normal, factor such as social influence factors are known to have no significant influence on mobile payment continuance intention. As a result, this research contributes to understanding the factors that influence the intention to continue using mobile payment applications. The validity and reliability test results show that the survey instrument used has an adequate level of validity and reliability, supporting the quality and reliability of the analysis conducted.
Rancang Bangun Loker Peminjaman Barang di Lab C Teknik Komputer Berbasis ESP32 Handoyo, R. Dion; Ubaidillah, M. Yahya; Muzakky, Achmad Risky; Azzahra, Annisa Fitria
Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) 2025: SNESTIK V
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/p.snestik.2025.7591

Abstract

Laboratorium merupakan fasilitas penting dalam pendidikan, karena didalam laboratorium berbagai peralatan, bahan dan infrastruktur digunakan untuk mendukung kegiatan praktikum dan pembelajaran. Banyak laboratorium yang saat ini masih menggunakan sistem peminjaman manual sehingga resiko kehilangan dan kerusakan barang yang dipinjam sering terjadi. Untuk mengatasi masalah ini, maka diperlukan sistem yang dapat mengelola peminjaman dengan aman dan memastikan identifikasi pengguna yang jelas untuk meningkatkan pengawasan terhadap penggunaan barang-barang laboratorium. Penelitian ini merancang dan mengembangkan sistem loker peminjaman berbasis Mikrokontroler ESP32 sebagai pusat pengontrolan sistem yang memanfaatkan teknologi antarmuka pengguna melalui website. Dimana pengguna akan memasukkan data pengguna dan memilih nomor loker yang tersedia yang kemudian dikirim ke Mikrokontroler ESP32 untuk disimpan dalam database. Jika loker tersedia, Mikrokontroler ESP32 mengirimkan sinyal ke Arduino untuk mengaktifkan relay selama 5 detik agar loker dapat dibuka. Sistem ini juga menyediakan akses admin melalui sebuah website khusus untuk melihat riwayat penggunaan loker yang tercatat dalam database. Admin juga dapat mengakses semua loker menggunakan fingerprint sensor yang telah menyimpan data sidik jarinya. Dengan penerapan sistem ini diharapkan proses peminjaman di laboratorium menjadi lebih efisien, aman, dan terkontrol.