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All Journal Elkom: Jurnal Elektronika dan Komputer Nuansa Informatika Telematika JUITA : Jurnal Informatika Jurnal Informatika dan Teknik Elektro Terapan Jurnas Nasional Teknologi dan Sistem Informasi Journal of Information System Jurnal Informatika Upgris IKRA-ITH Informatika : Jurnal Komputer dan Informatika RESEARCH : Computer, Information System & Technology Management Jurnal Kreativitas PKM JUTEKIN (Jurnal Manajemen Informatika) Jurnal Riset Informatika Jurnal Pendidikan dan Konseling Systematics GANESHA: Jurnal Pengabdian Masyarakat JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI Jurnal Informatika: Jurnal Pengembangan IT
Garno, Garno
Universitas Singaperbangsa
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Library & Information Science Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Analisis dan Redesain UI/UX Aplikasi BCA Mobile Menggunakan Metode SUS di Universitas Singaperbangsa Karawang Berbasis Evaluasi Usability Pengguna Cindy Priaulia Maharani Putri; Garno Garno
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikraith-informatika.v10i2.6840

Abstract

Penelitian ini menganalisis pengalaman pengguna (user experience, UX) dan antarmuka (user interface, UI) aplikasi BCA Mobile serta merancang ulang (redesign) berdasarkan hasil evaluasi kegunaan menggunakan kuesioner System Usability Scale (SUS). Sampel penelitian terdiri dari sekitar 30 pengguna (mahasiswa dan staf Universitas Singaperbangsa Karawang) yang dipilih secara convenience sampling. Instrumen penelitian meliputi kuesioner SUS, skenario tugas operasional aplikasi (misalnya cek saldo, transfer dana), dan observasi terstruktur. Hasil pengumpulan data pra-redesain menunjukkan skor rata-rata SUS ~66,6 (SD ≈16,5), termasuk kategori "average" dan berimplikasi rendahnya kepuasan pengguna. Sumber masukan kualitatif dan permasalahan yang diidentifikasi (seperti kebingungan label menu "Daftar Transfer" vs "Transfer") dipetakan ke heuristik Nielsen (misal, "kesesuaian dengan dunia nyata", "estetika dan desain minimalis"). Prioritas perbaikan meliputi penyederhanaan navigasi utama, perbaikan label menu, dan penambahan umpan balik sistem. Proposal redesain mencakup rekomendasi UI/UX terperinci, antara lain penyusunan ulang menu utama, tata letak antarmuka minimalis, serta prototipe alur interaksi baru. Rencana validasi pasca-redesain akan menggunakan kembali kuesioner SUS dan mengharapkan peningkatan skor minimal ke atas 70 (di atas rata-rata nasional SUS ~68). Kesimpulan penelitian menegaskan pentingnya perbaikan UI/UX untuk meningkatkan kepuasan pengguna aplikasi perbankan digital serta memberikan saran untuk penelitian lanjutan.
RANCANG BANGUN APLIKASI AL-QUR’AN MOBILE BERBASIS FLUTTER DENGAN FITUR MULTI MARKAH BACAAN DAN CATATAN Muhammad Sutan Fathir; Jajam Haerul Jaman; Garno Garno
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikraith-informatika.v10i2.7227

Abstract

The rapid development of mobile technology has encouraged the emergence of various digital Qur'an applications that facilitate users in reading the Qur'an. However, most existing applications still implement a single last read feature, allowing users to save only one reading position and lacking a note feature for each saved reading position. This limitation creates difficulties for users who engage in multiple reading activities, such as tilawah (Qur'an recitation), hifz (memorization), and study sessions. This study aims to design and develop a Flutter-based mobile Qur'an application featuring Multi Last Read and Notes to improve the flexibility of managing Qur'an reading activities. The research employed the Research and Development (R&D) method, while the system was developed using the Software Development Life Cycle (SDLC) with the Waterfall model. System testing was conducted using Black Box Testing, White Box Testing, and User Acceptance Testing (UAT) involving 30 respondents selected through a purposive sampling technique. The results indicate that the application successfully implements the Multi Last Read feature, enabling users to save multiple reading positions based on different categories and add notes to each saved reading position. The Black Box Testing results demonstrate that all application functions operate according to the specified functional requirements, while the White Box Testing results confirm that the program logic satisfies the Cyclomatic Complexity and independent path analyses. Furthermore, the UAT results achieved a user acceptance rate of 97.79%, which falls into the Excellent category. Therefore, the developed application provides a more flexible, well-organized, and personalized Qur'an reading experience that meets users' needs.
Analisis Sentimen Ulasan Aplikasi Threads Pada Google Play Store Menggunakan Algoritma Support Vector Machine Sabar Rendy Samuel Silalahi; Garno Garno; Iqbal Maulana
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikraith-informatika.v10i2.7255

Abstract

On the Google Play Store platform, there is a review section for each app containing users' opinions and experiences when using an app. These user reviews can be used as a basis for evaluating the quality of an app’s service; however, the large number of reviews makes it difficult for developers to analyze them manually. Threads, a social media app that provides a means of communication and entertainment created by Meta, has received many reviews from its users. This study analyzes user sentiment toward the Threads app through review classification to identify positive and negative opinions. A total of 1,808 user review data for the Threads app was collected as research data, consisting of 961 positive data and 847 negative data. Sentiment labeling will be done using the AI Copilot tool. The data will go through several stages, including data selection, data cleaning, data normalization, and word weighting using the TF-IDF method before performing data mining using the Support Vector Machine (SVM) algorithm. The test results showed that the model built was able to classify sentiment with an accuracy rate of 93.03% on an 80:20 train-test data split using the rbf kernel. In the Word Cloud, positive sentiments were dominated by words related to users’ appreciation for the Threads app services, while negative sentiments were dominated by users’ complaints about the suspension system and features in the Threads app. These research results indicate that the method used is capable of identifying user opinions and can be used as a basis for evaluating improvements in app service quality.
Co-Authors Ade Andri Hendriadi Adhi Rizal Agung Susilo Yuda Irawan Ahnaf Jauhari Allya Putri Nadila Gustin Andriani Nurian Apriade Voutama Arafat Febriandirza Arip Solehudin Asep Jamaludin Bagja Nugraha Cindy Amelia Prameswari Cindy Priaulia Maharani Putri Dadang Yusup Didi Juardi Dwi Suci Anggraeni Fajar Athariq Farhan Ali Abidin Indra, Jamaludin Iqbal Maulana Jaman, Jajam Haerul Maulana Hafidz Andhika Muhammad Farhan Asshiddiq Muhammad Sutan Fathir Nabila Aurelia Rahma Nina Sulistiyowati Novalia, Elfina Nur Salamah Azzahrah Purwantoro Purwantoro Putri Fisichella Chasannove Raffa Ismunandar Reza Ekstanza Riza Ibnu Adam Rizal Zulfikar Rahman Rizky Afriza Rosal Fino Sabar Rendy Samuel Silalahi Sarwosri Sarwosri Suparno Tesa Nur Padilah Vicky Chandra