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Journal : Jurnal Teknik Informatika (JUTIF)

REDESIGNING THE UI/UX WEBSITE FOR THE INDUSTRIAL ENGINEERING DEPARTMENT AT MULAWARMAN UNIVERSITY USING DESIGN THINKING METHOD Hadi, Amirul; Sukmono, Yudi; Harjanto, Arif; Suprihanto, Didit
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 1 (2024): JUTIF Volume 5, Number 1, February 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.1.1252

Abstract

The industrial engineering department website of Mulawarman University faces challenges in disseminating academic information due to inadequate maintenance. This research utilizes the design thinking method to enhance the website's user interface and user experience (UI/UX) and evaluate its usability against the current version. The decision to use design thinking is grounded in its established effectiveness in improving website UI/UX. The study involves empathizing, defining, ideating, prototyping, and testing phases. User needs and concerns were identified through interviews, observations, and tools such as affinity diagrams, user personas, and user journey maps. Creative concepts were developed and organized using the priority matrix, sitemap, and user flow. Wireframes and mockups facilitated pre-construction design visualization. The redesigned UI/UX prototype resulted in a significantly improved user experience, as evidenced by the results of the user experience questionnaire and system usability scale. The initial UEQ scores indicated low usability, with attractiveness at 0.85, perspicuity at 1.01, efficiency at 0.71, dependability at 0.76, stimulation at 0.41, and novelty at -0.18. Following the redesign, scores notably increased, attractiveness at 2.06, perspicuity at 1.89, efficiency at 1.94, dependability at 1.79, stimulation at 2.05, and novelty at 1.64. SUS testing revealed an average rise to 76 from 63 points, indicating enhanced user satisfaction, acceptance, and descriptive ratings. The website's grade improved from C to B after the redesign. In conclusion, the UI/UX redesign successfully enhanced website usability and user experience.
COMPARISON OF SUPPORT VECTOR MACHINE AND INDOBERT IN NON-FUNCTIONAL REQUIREMENT CLASSIFICATION OF APPLICATION USER REVIEWS Rais Kumar, Abdul Ghofur; Sukmono, Yudi; Burhandenny, Aji Ery
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.1424

Abstract

User reviews of mobile applications have become a valuable source of information for evaluating the quality of an application. It is crucial for application developers to understand what users express in their reviews. One aspect that can be analyzed from user reviews is Non-Functional Requirement (NFR). Classifying reviews based on NFR is essential in understanding how an application can be enhanced. Although user reviews have the potential to provide valuable insights into NFR, manually processing thousands of user reviews is a laborious and inefficient task. Therefore, artificial intelligence methods are employed to automatically classify user reviews into relevant NFR categories. This research discusses the performance comparison of the SVM and IndoBERT algorithms in NFR classification. The study involves collecting application review data from 2018 to 2023, sourced from Google Playstore and Apple Appstore, followed by annotating the review data based on ISO 25010. Subsequently, the data is allocated into training and testing sets with an 80:20 ratio. Further, a data preprocessing phase is conducted, which includes steps such as lowercasing, tokenization, special character removal, text normalization, and text stemming. The next step involves training the SVM and IndoBERT algorithms on the dataset. Finally, the evaluation is carried out by calculating the F1-score. The research results indicate that the IndoBERT model outperforms the SVM model. The IndoBERT algorithm excels in recognizing NFR in reviews, achieving an F1-score of 93%, while the SVM algorithm achieves an F1-score of 91%.
Co-Authors A Halim Abdul Alimul Karim Abdul Halik Abdul Halim Abdul Halim Abdullah Azzam Adriansyah Adriansyah Agus Winarno Agus Winarno, Agus Ahmad Amiruddin Nur Syam Aini, Sabrina Nur Akbar, Rayhan Amalia Dwi Irawati Amalia, Laeli Rezki Amirul Hadi, Amirul Anggata, Ariel Anggriani Profita Anindita Septiarini, Anindita Annisa Putri Dewiyanti Ari Susandy Sanjaya, Ari Susandy Arif Harjanto Arif Miming, Muhammad Ramdhani Arini Wijayanti Arizaldi Jamayam Rifani Ashar Ayuning Tias Ayuning Tias Baso Cante Burhandenny, Aji Ery Deasy Kartika Rahayu Denny Randiana Firda Saputra Dharma Widada Dhimas Saifullah Didit Suprihanto, Didit Dutho Suh Utomo Dwi Ermawati Rahayu Eko Saputro Fahrureza, Fahrureza Farida Djumiati Sitania Fathimahhayati, Lina Dianati Febrianice, Febrianice Felix, Manik Samuel Gunawan, Suwardi Hanafi, Mochammad Handayani, Friska Hardiansah, Hardiansah Haviluddin Haviluddin Heliza Rahmania Hatta, Heliza Rahmania Herwandi Herwandi Hidayat Hidayat Isal, Andi Jamayam Rifani, Arizaldi Jerio Madre Juk, Leonakanisi Karun Karang, Dominika Welin Khiyarinnisa, Faza Khoirunisa, siti La Ode Ahmad Safar Tosungku La Ode Ahmad Safar Tosungku, La Ode Ahmad Safar Lina Dianati Fathimahhayati Lina Dianati Fathimahhayati, Lina Dianati Luvita Okti Anggreani Mangkona Mangkona Marieke Stefanny Malenge Marrifa, Alfarizqi Nur Meicahayanti, Ika Meilisa Ayu Pratiwi Mualin Renaldy Setiabudi Muh Anhar Muhammad Aswar Ayyubi Muhammad Farhanuddin Wijaya Mustajib, Imron Ninda Nur Sabila Nurul Hasanah Okianadila Safira Widodo Olivia Angelica Murtioso Padmo Azam Masa, Amin Panjaitan, Irma Adelina Pawitra, Theresia Amalia Pratiwi, Sinthya Ayu Prayogi, Restu Priyo Heru Adiwibowo Purwanti, Wanda Putri, Icha Ayu Azzara Raihana, Jasmine Najwa Rais Kumar, Abdul Ghofur Ramadhana, Iqbal Ridwan, Syaiful M Rizki Hardiyan S, Junaidi Saptaningtyas, Wara Widyarini Endah Saputra, Muhammad Rizki Fajar Sariyani, Dwi Tika Seku, Agatha Silvia Herawati Singgih Rahardjo Sitania, Farida Djumiati Solly Aryza Stefanny Malenge, Marieke Suluhasa, Yoel Era Susanto, Gladis Permatasari Suwardi Gunawan Suwardi Gunawan Tambunan, Willy Tasya Meidita Taufiq Qurrahman Theresia Amelia Pawitra Tirah, Afrilia Tita Dwi Riyanti Vablo Gloria, Siagian, Jevandra Wahyuda Wahyuda Wahyuda Wahyuda Wahyuda Wahyuda, Wahyuda Wibisono, Gibran Wicaksono, Martin Widada, Dharma Wijaya, Muhammad Farhanuddin Yusriawan, Muhammad Zulkifli Zulkifli