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All Journal JURNAL INSTEK (Informatika Sains dan Teknologi) AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan International Journal of Multilingual Education and Applied Linguistics
Rayhan Ananda Hafiz Pradipta
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Aerospace Engineering Arts Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences

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Analyzing User Experience In The M-TIX Application Using The User Experience Questionnaire Method Rayhan Ananda Hafiz Pradipta; Hasna Nabiilah Widiani; Dimas Akbar Tama; Anka Luffi Ramdani; Kinaya Khairunnisa Komariansyah; Muhammad Ilham Nurfajri; Irma Rasita Gloria Barus; Amata Fami
International Journal of Multilingual Education and Applied Linguistics Vol. 1 No. 3 (2024): August : International Journal of Multilingual Education and Applied Linguistic
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmeal.v1i3.62

Abstract

The utilization of mobile applications in the service sector has experienced significant growth, fueled by increased access to the internet and the use of smartphones. The M-TIX app, which provides online movie ticket booking services, is one example of an app that has become an important part of movie fans' routines. Despite its popularity, users have reported various issues related to usability and overall user satisfaction. In this study, we focus on the user experience of the M-TIX app by using the User Experience Questionnaire (UEQ) to identify the strengths and weaknesses of the user experience aspects. Through a structured qualitative approach, the UEQ enables an in-depth evaluation of six key dimensions of user experience, namely Attractiveness, Perspicuity, Efficiency, Dependability, Stimulation, and Novelty. The study involved respondents predominantly aged between 17 to 21 years old, with the largest group being 20 years old (15 respondents), and most of them (26 respondents) were students. The results of this study are expected to provide valuable recommendations for improving the design and functionality of the M-TIX application, as well as increasing the understanding of the relationship between users' characteristics and their perceptions of user experience in the context of online movie ticketing applications. This research aims to address the existing problems and enhance user satisfaction by providing actionable insights.
Analyzing User Experience In The M-Tix Application Using The User Experience Questionnaire Method Rayhan Ananda Hafiz Pradipta; Dimas Akbar Tama; Kinaya Khairunnisa Komariansyah; Hasna Nabiilah Widiani; Muhammad Ilham Nurfajri; Anka Luffi Ramdani; Irma Rasita Gloria Barus; Amata Fami
International Journal of Multilingual Education and Applied Linguistics Vol. 1 No. 3 (2024): August : International Journal of Multilingual Education and Applied Linguistic
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmeal.v1i3.67

Abstract

The utilization of mobile applications in the service sector has experienced significant growth, fueled by increased access to the internet and the use of smartphones. The M-TIX app, which provides online movie ticket booking services, is one example of an app that has become an important part of movie fans' routines. Despite its popularity, users have reported various issues related to usability and overall user satisfaction. In this study, we focus on the user experience of the M-TIX app by using the User Experience Questionnaire (UEQ) to identify the strengths and weaknesses of the user experience aspects. Through a structured qualitative approach, the UEQ enables an in-depth evaluation of six key dimensions of user experience, namely Attractiveness, Perspicuity, Efficiency, Dependability, Stimulation, and Novelty. The study involved respondents predominantly aged between 17 to 21 years old, with the largest group being 20 years old (15 respondents), and most of them (26 respondents) were students. The results of this study are expected to provide valuable recommendations for improving the design and functionality of the M-TIX application, as well as increasing the understanding of the relationship between users' characteristics and their perceptions of user experience in the context of online movie ticketing applications. This research aims to address the existing problems and enhance user satisfaction by providing actionable insights.
Pendeteksi Penggunaan Sabuk Pengaman Real Time Untuk Pengemudi Menggunakan Metode YOLOV5 Keysha Maulina Halimi; Tiara Ariyanto Putri; Muhammad Rahmat Maryadi; Rayhan Ananda Hafiz Pradipta; Hassan Nasrallah Matouq; Endang Purnama Giri; Gema Parasti Mindara
AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan Vol. 2 No. 2 (2024): Jurnal AI dan SPK : Jurnal Artificial Inteligent dan Sistem Penunjang Keputusan
Publisher : CV. Shofanah Media Berkah

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

Abstract

Kecelakaan lalu lintas merupakan salah satu masalah yang sangat merugikan dan membutuhkan penanganan yang serius. Kecelakaan mobil menempati peringkat dua teratas kendaraan yang sering mengalami kecelakaan lalu lintas. Salah satu upaya yang dapat digunakan untuk meminimalisir akibat dari kecelakaan berkendara adalah menggunakan sabuk pengaman. Mengenakan sabuk pengaman mencegah tubuh penumpang bertabrakan dengan struktur rangka mobil, benda lain di dalam mobil, atau penumpang lain di dalam mobil yang sama. Meskipun penggunaan sabuk pengaman saat berkendara memiliki dampak yang besar, masih banyak pengendara yang masih menyepelekan pentingnya penggunaan sabuk pengaman dalam keselamatan berkendara di jalan raya. Pada penelitian ini, pendeteksian penggunaan sabuk pengaman secara realtime untuk pengemudi mobil di jalan raya telah dilakukan dengan menggunakan metode deep learning YOLOv5. Tujuan dari penelitian ini adalah untuk mengembangkan dan mengimplementasikan sistem pendeteksian penggunaan sabuk pengaman secara real-time bagi pengemudi mobil di jalan raya menggunakan model YOLOv5 sebagai salah satu usaha untuk meminimalisir risiko terjadinya kecelakaan lalu lintas.
PENGEMBANGAN WEBSITE MANAJEMEN PERPUSTAKAAN BERBASIS DATA REALTIME DAN KLASIFIKASI PEMINJAMAN Fadly Kurniawan; Mario Raditya Nugroho; Rayhan Ananda Hafiz Pradipta; Muhammad Rahmat Maryadi; Wicaksono, Aditya; Muhammad Nasir
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 10 No 2 (2025): OCTOBER
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/instek.v10i2.57371

Abstract

Penelitian ini bertujuan untuk mengembangkan sistem manajemen perpustakaan berbasis web dengan menerapkan metode pengembangan perangkat lunak waterfall. Latar belakang penelitian ini adalah masih banyaknya sistem perpustakaan di Indonesia yang dikelola secara manual sehingga menghambat efisiensi dan akurasi pencatatan data. Sistem yang dikembangkan dirancang untuk mendukung pengelolaan data secara real-time serta menampilkan visualisasi klasifikasi perilaku peminjaman pengguna melalui dashboard interaktif. Proses pengembangan dilakukan melalui lima tahap, yakni analisis kebutuhan, perancangan, implementasi, pengujian, dan pemeliharaan. Fitur utama sistem meliputi pencatatan transaksi, klasifikasi pengguna berbasis aturan menggunakan parameter frekuensi peminjaman dan total denda, serta visualisasi data menggunakan Chart.js. Hasil pengujian black-box terhadap 200 entri data menunjukkan tingkat keberhasilan fungsional sebesar 99,09% dengan rata-rata waktu respons 1,27 detik. Penelitian ini menunjukkan bahwa sistem mampu meningkatkan efisiensi pengelolaan data dan mendukung pengambilan keputusan pustakawan secara cepat. Penelitian ini juga merekomendasikan integrasi algoritma machine learning pada tahap berikutnya untuk menghasilkan klasifikasi yang lebih adaptif.
Co-Authors Aditya Wicaksono Anka Luffi Ramdani Dimas Akbar Tama Endang Purnama Giri Fadly Kurniawan Fami, Amata Gema Parasti Mindara Hasna Nabiilah Widiani Hassan Nasrallah Matouq Irma Rasita Gloria Barus Keysha Maulina Halimi Kinaya Khairunnisa Komariansyah Mario Raditya Nugroho Muhammad Ilham Nurfajri Muhammad Nasir Muhammad Rahmat Maryadi Tiara Ariyanto Putri