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Human-Computer Interaction Enhancement for Linux Cli Application using Telegram Bot Piping Wicaksono, Herlambang; Azzahra, Fadel; Setiawan, Hermawan
SAINTEKBU Vol. 16 No. 02 (2024): Vol. 16 No. 02 August 2024
Publisher : KH. A. Wahab Hasbullah University

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

Abstract

This paper proposes an innovative method to enhance Human-Computer Interaction (HCI) for Linux Command Line Interface (CLI) applications by integrating Telegram bot piping. Despite the power of CLI, its complexity often deters users, particularly those less experienced with technology. We introduce a solution leveraging Telegram bots to provide a more intuitive and accessible interface for interacting with CLI tools. Users can issue commands via Telegram, receiving real-time feedback and executing tasks without extensive CLI knowledge. Our study includes design, implementation, and evaluation phases, demonstrating high user satisfaction with the Telegram bot integrated CLI applications. The approach significantly improves usability, reduces the learning curve, and broadens the accessibility of Linux systems. The user feedback indicated high satisfaction with the Telegram bot integrated CLI applications, with users finding it effective, user-friendly, and preferable over traditional CLI interfaces, with a user satisfaction score of 95.3%
OPTIMIZING HUMAN-COMPUTER INTERACTION THROUGH SPEECH-TO-TEXT TECHNOLOGY INTEGRATION IN WEB APPLICATION INTERFACES Sugiyarto, Muhammad Faturrohman; Setyawan, Faizal Gani; Setiawan, Hermawan
Jurnal Review Pendidikan dan Pengajaran Vol. 7 No. 4 (2024): Vol. 7 No. 4 Tahun 2024
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jrpp.v7i4.30940

Abstract

In the digital era, the quality of Human-Computer Interaction (HCI) significantly influences User Experience (UX) across various applications. Developers are increasingly exploring innovative solutions such as Speech-to-Text (STT) technology(3), which allows users to interact with applications using natural language. This offers a more intuitive and efficient communication method compared to traditional input methods like typing or clicking. This integration promises to revolutionize HCI by enhancing accessibility, productivity, and user satisfaction across various application domains(1). However, implementing STT in web-based application interfaces requires further exploration due to the widespread presence and accessibility of web applications, which serve as crucial mediums for digital interactions including e-commerce, social networking, productivity tools, and entertainment platforms. This paper explores the integration of STT technology in web application interfaces, including Voxpow.com and Google Assistant, focusing on its impact on usability, user engagement, and overall HCI efficiency. By analyzing user interactions with web applications featuring STT capabilities, we aim to identify specific advantages and challenges associated with this technology. Through empirical research and user testing, we provide insights that inform future web interface design and development, ultimately enhancing user experience and driving innovation in HCI practices(2).
IMPLEMENTASI METODE DESIGN THINKING DALAM PERANCANGAN USER EXPERIENCE (UX) PADA RANCANGAN APLIKASI LAYANAN DARURAT UNTUK KENDARAAN BERMOTOR Hanaputra, Rayhan Ramdhany; Tampati, Ihsan Fadli; Setiawan, Hermawan
Jurnal Review Pendidikan dan Pengajaran Vol. 7 No. 3 (2024): Vol. 7 No. 3 (2024): Volume 7 No 3 Tahun 2024 (Special Issue)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jrpp.v7i3.31017

Abstract

Penelitian ini bertujuan merancang user experience (UX) aplikasi layanan darurat bagi pengendara sepeda motor menggunakan metode Design Thinking. Metode ini terdiri dari lima tahapan: empathize, define, ideate, prototype, dan testing. Tahap empathize melibatkan wawancara dengan pengendara kendaraan bermotor untuk memahami masalah utama mereka. Tahap define menghasilkan persona pengguna dan empathy map untuk memperjelas kebutuhan dan masalah pengguna. Pada tahap ideate, berbagai ide dikembangkan untuk pembuatan prototipe UX aplikasi. Prototipe diuji untuk mendapatkan umpan balik dari pengguna. Hasil penelitian menunjukkan bahwa pendekatan Design Thinking efektif dalam merancang UX aplikasi yang memenuhi kebutuhan pengendara sepeda motor, menyediakan layanan darurat seperti tambal ban, pom bensin, bengkel, towing, derek, dan konsultasi kesehatan. Pengujian menggunakan SEQ (Single Ease Question) menunjukkan bahwa aplikasi ini mudah digunakan oleh pengguna
Human-Computer Interaction Enhancement for Linux Cli Application using Telegram Bot Piping Wicaksono, Herlambang; Azzahra, Fadel; Setiawan, Hermawan
SAINTEKBU Vol. 16 No. 02 (2024): Vol. 16 No. 02 August 2024
Publisher : KH. A. Wahab Hasbullah University

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

Abstract

This paper proposes an innovative method to enhance Human-Computer Interaction (HCI) for Linux Command Line Interface (CLI) applications by integrating Telegram bot piping. Despite the power of CLI, its complexity often deters users, particularly those less experienced with technology. We introduce a solution leveraging Telegram bots to provide a more intuitive and accessible interface for interacting with CLI tools. Users can issue commands via Telegram, receiving real-time feedback and executing tasks without extensive CLI knowledge. Our study includes design, implementation, and evaluation phases, demonstrating high user satisfaction with the Telegram bot integrated CLI applications. The approach significantly improves usability, reduces the learning curve, and broadens the accessibility of Linux systems. The user feedback indicated high satisfaction with the Telegram bot integrated CLI applications, with users finding it effective, user-friendly, and preferable over traditional CLI interfaces, with a user satisfaction score of 95.3%
VEGETATION INDICES FROM LANDSAT-8 DATA IN PALABUHANRATU Hermawan Setiawan; Masita Dwi Mandini Manessa; Hafid Setiadi
International Journal of Remote Sensing and Earth Sciences Vol. 20 No. 1 (2023)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2023.v20.a3829

Abstract

Land cover will change due to population pressure, resource use, and human interest in space. Measuring the land area is important to determine how much-converted land is positive and negative. The vegetation on land was determined by how densely the plants were spread out. This study is conducted in Palabuhanratu, Sukabumi Regency. Aims to test and compare how accurate EVI and SAVI are at seeing vegetation density. The images used are from Landsat 8 in 2018 and 2022. Calibration is performed using high-resolution images, followed by field surveys with 98 points from polygon sampling. The average accuracy of the results from EVI is 49%, while the average accuracy of the results from SAVI is 45%. So, we can say that the EVI or SAVI based-input gives a similar result on observing the vegetation density in Palabuhanratu.
Co-Authors Achmad Luthfan Aufar Hindami Adis Marhaenisa Akhmad Rizal Angelita Salsabila Azzahra, Fadel Christopher Ralin Anggoman Dimas Febriyan Priambodo Dwiky Setiawan Cahyadi Fetty Amelia Firmansyah , Muhammad Lucky Aulia Ghiffari, Muhammad Novrizal Girinoto Girinoto, Girinoto Hanaputra , Rayhan Ramdhany Hanaputra, Rayhan Ramdhany Herisa Pratama Herman Kabetta Herman Kabetta I Gede Maha Putra I Komang Setia Buana Buana I Komang Setia Buana, I Komang Iskandar Jajuri Ivan Fadila Kertanegara, Adek Muhammad Zulkham Ristiawan Lumbantoruan, Jacob Lytio Enggar Erlangga Martin Talo Masita Dwi Mandini Manessa Muhammad Novrizal Ghiffari Muhammad Qolby Fawzan Mukhamad Najib Mutiara Intan Kamila Nova Indriani Nurul Qomariasih Raden Budiarto Hadiprakoso Ray Novita Yasa Ray Novita Yasa Rayhan Ramdhany Hanaputra Rheva Anindya Wijayanti Rizal Roeslan Djutalov Sejati, Wiyar Wilujengning Setiadi, Hafid Setyawan, Faizal Gani Sibagariang, Efifania Simanjuntak, Mirza Uliartha Subri Sugiyarto, Muhammad Faturrohman Syubbanul Siddiq Tampati, Ihsan Fadli Tsany, Ismail Sofyan Uliartha Simanjuntak, Mirza Wicaksono, Herlambang Wicaksono, Herlambang Rafli Wijayanti, Rheva Anindya Yasa , Ray Novita Yasmin Putri Salma Yulandi Yulandi Yulandi Yusuf Atha Gunawan