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All Journal Nuansa Informatika Sistemasi: Jurnal Sistem Informasi Jurnal Informatika Jurnal Pilar Nusa Mandiri JITK (Jurnal Ilmu Pengetahuan dan Komputer) Techno Nusa Mandiri : Journal of Computing and Information Technology Technologia: Jurnal Ilmiah Journal of Empowerment Community Tematik : Jurnal Teknologi Informasi Komunikasi Innovation in Research of Informatics (INNOVATICS) Jurnal Pengabdian dan Edukasi Sekolah (Jubaedah) International Journal of Quantitative Research and Modeling Joutica : Journal of Informatic Unisla Formosa Journal of Applied Sciences (FJAS) Paradigma International Journal of Ethno-Sciences and Education Research Jurnal Pengabdian Masyarakat Tapis Berseri SisInfo : Jurnal Sistem Informasi dan Informatika Nuansa Informatika Jurnal Bhakti Karya dan Inovatif INTERNAL (Information System Journal) In Search (Informatic, Science, Entrepreneur, Applied Art, Research, Humanism) International Journal of Computer Technology and Science International Journal of Information Engineering and Science
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Journal : Nuansa Informatika

 1 
Perancangan Prototype User Interface Dan Pengujian User Experience Aplikasi Rental Mobil Berbasis Menggunakan Metode Design Thinking ( Studi Kasus : Pt Trans Berjaya Khatulistiwa) Titan, Titan Parama Yoga; Budiman; Efendi Putra, Jilan Hafizh Ferdiansyah
NUANSA INFORMATIKA Vol. 17 No. 2 (2023): Volume 17 No 2 Tahun 2023
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v17i2.9

Abstract

PT Trans Berjaya Khatulistiwa or commonly called Tiketux is a travel ticket booking service company, and mobile and web application developer. Currently Tiketux is developing a web application regarding car rental, to get the results of a UI/UX design that are right on target with user needs using the design thinking method. The design stage in this method is to take an approach that does not only focus on what is seen (the user interface) and felt by the user, but also focuses on the user experience. The research method used is a mix method, namely conducting observations, distributing questionnaires, and searching for data literature through books or journals related to research. The results obtained in this car rental application have good usability for users. This can be seen from the SUS trial regarding the designed user interface prototype
ANALISIS DAN PERANCANGAN SISTEM PENJUALAN PADA TOKO XYZ BERBASIS WEB DAN MOBILE MENGGUNAKAN UML Imannudin Akbar; Budiman; Zatin Niqotaini; Ari Rizki Fauzi
NUANSA INFORMATIKA Vol. 17 No. 2 (2023): Volume 17 No 2 Tahun 2023
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v17i2.13

Abstract

Technological advancements have a significant impact on businesses, particularly in the realm of sales. XYZ store currently relies on manual business processes, leading to a non-computerized and uncoordinated sales system. Consequently, there is a need for an innovative new business model that utilizes web and mobile-based systems. In this study, Rosa A.S.'s Prototype research method is employed to design the sales system using UML notation in the form of diagrams. The designed sales system caters to three user categories: customers accessing the mobile platform, store clerks, and store owners accessing the website platform. The study's outcomes consist of an analysis report and the design of a web- and mobile-based sales information system (mock-up) for XYZ store. The aim is to create a user-friendly interface that facilitates understanding for the sellers, making sales transactions more efficient. Moreover, the system aims to enhance convenience for customers and buyers, enabling them to conduct transactions and access product information from any location
Perancangan Prototype User Interface Dan Pengujian User Experience Aplikasi Rental Mobil Berbasis Menggunakan Metode Design Thinking ( Studi Kasus : Pt Trans Berjaya Khatulistiwa) Titan, Titan Parama Yoga; Budiman; Efendi Putra, Jilan Hafizh Ferdiansyah
NUANSA INFORMATIKA Vol. 17 No. 2 (2023): Volume 17 No 2 Tahun 2023
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v17i2.9

Abstract

PT Trans Berjaya Khatulistiwa or commonly called Tiketux is a travel ticket booking service company, and mobile and web application developer. Currently Tiketux is developing a web application regarding car rental, to get the results of a UI/UX design that are right on target with user needs using the design thinking method. The design stage in this method is to take an approach that does not only focus on what is seen (the user interface) and felt by the user, but also focuses on the user experience. The research method used is a mix method, namely conducting observations, distributing questionnaires, and searching for data literature through books or journals related to research. The results obtained in this car rental application have good usability for users. This can be seen from the SUS trial regarding the designed user interface prototype
Rancang Bangun Aplikasi Operasional Departemen Finance Studi Kasus PT. Maja Kerta Wangi Budiman, Budiman; Rakhman Alamsyah, Rd. Yadi; Fauzi Ramadhan, Ahmad
NUANSA INFORMATIKA Vol. 17 No. 2 (2023): Volume 17 No 2 Tahun 2023
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v17i2.12

Abstract

The large number of travel document transactions, credit cards, and invoice payments is a problem that complicates the finance department. In actual work, many travel documents are printed more than once, which burdens printing costs, loads the capacity of archive space which must be stored for five years, and requires destroying documents whose expired shelf life. The verification and validation process carried out by officers experienced problems because the system had not been integrated, so travel documents became past due and caused delays in supplier payments. The design and construction of operational applications for the finance department aim to digitize and integrate operational and financial processes to become combined, especially in managing travel documents, debt cards, and bill payments. The software development method used in this study is the waterfall which consists of the stages of analysis, design, implementation, and testing. Based on the testing results, the application shows that the application can assist in the operational process of the financial section, especially the data collection of travel documents into debt cards, then processing and paying bills based on invoices.
Usability Testing Pada APPFIN Menggunakan Metode System Usability Scale Studi Kasus PT. Maja Kerta Wang Budiman, Budiman; Rakhman Alamsyah, Rd. Yadi; Fauzi Ramadhan, Ahmad
NUANSA INFORMATIKA Vol. 18 No. 1 (2024): Nuansa Informatika 18.1 Januari 2024
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v18i1.66

Abstract

Ensuring a positive user experience is essential for the success of usability testing and meeting user expectations in system development. In this study, the System Usability Scale method is employed for usability testing, utilizing a questionnaire to assess acceptance, grading, and ratings. The research involves end users of the APPFIN application across all branches and head offices, with twenty-nine respondents achieving a notably favorable acceptance rate. The System Usability Scale score of 82 places APPFIN in the "GOOD" category with a B grade, indicating a reasonably high level of user satisfaction. The majority of respondents expressed contentment with their experience using APPFIN, reflecting a positive reception and acceptance among users.
P Pengujian Perangkat Lunak Metode Black Box Pada Aplikasi Sistem Pakar Pola Latihan dan Asupan Makanan Setiana, Elia; Ramadhan, Muhammad Rizki; Budiman; R. Yadi Rakhman A4
NUANSA INFORMATIKA Vol. 18 No. 1 (2024): Nuansa Informatika 18.1 Januari 2024
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v18i1.67

Abstract

Software testing is an important part of expert system application development. This software testing aims to ensure optimal performance and functionality of this application, where the application must be able to run according to a previously created design and application testing must ensure that the program is free from errors. The testing methodology includes a series of steps designed to identify potential bugs, ensure proper integration between components, and verify that the application meets functional and non-functional requirements. Testing is carried out using various functional testing scenarios. Test results show that this application is able to provide accurate and relevant solutions in the context of exercise patterns to achieve the desired body goals. Additionally, application performance is tested to ensure fast response and good user experience, even under high load conditions. The findings from this test provide confidence that the "Exercise Pattern and Food Intake Expert System" is ready for use by end users.
Emoji-Based Sentiment Classification Using Ensemble Learning with Cross-Validation: A Lightweight Approach for Social Media Analysis: Klasifikasi Sentimen Berbasis Emoji Menggunakan Ensemble Learning dengan Validasi Silang: Pendekatan Ringan untuk Analisis Media Sosial Alamsyah, Nur; Bayu Wibisono, Gunthur; Parama Yoga, Titan; Budiman; Hendra, Acep
NUANSA INFORMATIKA Vol. 19 No. 2 (2025): Nuansa Informatika 19.2 Juli 2025
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v19i2.396

Abstract

The increasing use of emojis in online communication reflects emotional expression that is often more immediate and intuitive than text. This study proposes a lightweight sentiment classification approach that utilizes only emoji features extracted from social media posts, without relying on textual content. The importance of this research lies in its relevance to short-form digital content, where textual sentiment cues are minimal or absent. To address the classification problem, we implement and compare multiple machine learning models including Random Forest (RF), Support Vector Machine, and an ensemble Voting Classifier combining both. Emoji tokens were vectorized using character-level count vectorization, and performance was evaluated using 5-fold cross-validation to ensure robustness and generalizability. Results show that the ensemble model achieved the highest average accuracy of 93.6%, outperforming the individual classifiers. These findings confirm that emojis alone can serve as reliable indicators of sentiment and support the deployment of fast, interpretable, and scalable models for social media sentiment analysis.
A Bidirectional GRU Approach with Hyperparameter Optimization for Sentiment Classification in Game Reviews : Pendekatan GRU Dua Arah dengan Optimasi Hiperparameter untuk Klasifikasi Sentimen dalam Ulasan Game Alamsyah, Nur; Titan Parama Yoga; Budiman; Imannudin Akbar; Hendra, Acep; Januantara Prima, Alif
NUANSA INFORMATIKA Vol. 19 No. 2 (2025): Nuansa Informatika 19.2 Juli 2025
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v19i2.399

Abstract

Sentiment analysis plays a vital role in understanding user perspectives, especially in domains such as game reviews where user feedback influences product perception and engagement. This study presents a comparative approach using Gated Recurrent Unit (GRU), hyperparameter-tuned GRU, and Bidirectional GRU models to classify sentiments in a dataset of game reviews. The experiment begins with standard preprocessing and tokenization steps, followed by vectorization and supervised training. Hyperparameter optimization is conducted using Keras Tuner to identify the most effective configuration of embedding dimensions, GRU units, dropout rates, and learning rates. The best model, a Bidirectional GRU with tuned parameters, achieves a validation accuracy of 85.37% and shows superior performance across key metrics such as precision, recall, and F1-score. Despite the relatively small and imbalanced dataset, the Bidirectional GRU model demonstrates robust generalization. This study also highlights future directions, including class balancing techniques and the integration of pretrained word embeddings to further improve model performance.
A Data-Driven Approach to Comparative Evaluation of Regression Models for Accurate House Price Prediction: Pendekatan Berbasis Data untuk Evaluasi Komparatif Model Regresi untuk Prediksi Harga Rumah yang Akurat Permata Hati, Tiara; Budiman, Budiman; Akbar, Imannudin; Alamsyah, Nur
NUANSA INFORMATIKA Vol. 19 No. 2 (2025): Nuansa Informatika 19.2 Juli 2025
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v19i2.411

Abstract

This study aims to develop and evaluate a property price prediction model in Bandung by applying machine learning (ML) algorithms. The need for more accurate property price predictions is increasing due to fluctuations in the property market. This study analyzes property characteristics, including the number of bedrooms, bathrooms, land area, building area, and location, as well as their impact on house prices. The study evaluates four regression algorithms, including linear regression, K-Nearest Neighbors (KNN), Random Forest, and XGBoost. Finally, this study proposes price_per_m2 and building_land_ratio as new features recommended for improvement in accuracy. The bottleneck method is derived from the data collection area of the Rumah123.com website, encompassing data preprocessing and data exploration. The following metrics will be used to evaluate each model: Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and R-squared (R²). Based on our study, we conclude that both Random Forest Regression and XGBoost Regression achieve the highest accuracy, with R² values of 0.9941 and 0.9955, respectively, after adjustment. Conversely, Linear Regression and KNN Regression have the lowest accuracy, with KNN Regression being the least accurate. The primary contribution of this study is the development of a more accurate house price prediction model that can be applied in cities with similar market characteristics. These findings provide practical insights for property developers and buyers when making investment decisions.
Co-Authors Acep Hendra Aggi Panigoro Sarifiyono Akbar, Imannudin Alamsyah, R Yadi Rakhman AlFauzi, Ihsan Amos Duan Nugroho Anto Widianto Ari Rizki Fauzi Bayu Wibisono, Gunthur Cahya Miftahul Falah Catherin Rumambo Mogot Pandin Chairul Habibi Chairul Habibi Danestiara, Venia R Dani Rizky Zaelani Darsiti . Dirham Triyadi Dirham Triyadi Erpurini, Wala Fauzi Ramadhan, Ahmad Fikri Rizqillah Hasani Gelar, Trisna Habibi, Chairul Hani Fitria Rahmani Hasan Nuraripin Hernawan, Kartika Nursyabanita Ismi Nur Muhamad Januantara Prima, Alif Karlina, Nichi Hana Kaunang, Valencia Claudia Jennifer M. Rizki Ramadhan Niqotaini, Zatin NUR ALAMSYAH Nur Alamsyah Nur Alamsyah, Nur Nursyanti, Reni PARAMA YOGA, TITAN Permata Hati, Tiara R. Yadi Rakhman A R. Yadi Rakhman A4 R. Yadi Rakhman Alamsyah R. Yadi Rakhman Alamsyah Rakhman Alamsyah, Rd. Yadi Ramadhan, Muhammad Rizki Rd. Zidni Rizan Al-Zhahir Yanuar Reni Nursyanti Reni Nursyanti Reni Nursyanti Reynaldy Gimnastiar Rijwan Rijwan S.W. Manurip, Atanasius Angga Setiana, Elia Silvana Anggraeni, Zulmeida Sophian Ramadhan Suci Fitriani Setiawan Titan Parama Titan Parama Yoga Tutik Ultsa Rahmatika Valencia Claudia Jennifer Valencia Claudia Jennifer Kaunang Vani Maharani Nasution Venia Restreva Danestiara Wulandari Wulandari Yoga Rizki Rahmawan Zein Suna Arfigan Said