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indonesia Pengenalan Pola Ekspresi Wajah Untuk Pengolahan Citra Menggunakan Metode Convolutional Neural Network Nurjihan, Saniyyah Wafa; Nurbadillah, Nurbadillah; Faturrahman, Nafis; Wiguna, Indra Maki; Lasardi, Ekky Mulia; Giri, Endang Purnama; Mindara, Gema Parasti
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 11 No 4 (2024): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v11i4.9585

Abstract

This research focuses on the development of a facial expression recognition system based on image processing that is capable of identifying emotions with high accuracy. Facial recognition is a widely used technology for authentication and security, but it has potential applications in understanding emotional expressions. By utilizing Convolutional Neural Networks (CNN), the system is designed to detect and classify expressions such as happiness, sadness, anger, and neutrality in real time. The research stages include data collection of faces with various expressions, preprocessing, and training of the CNN model. Performance evaluation demonstrates that CNN outperforms traditional methods such as Viola-Jones and Support Vector Machine (SVM) under various lighting and angle conditions, achieving an average accuracy of 92%. These results prove the model's reliability in detecting emotional expressions with high precision. Further development is proposed to enhance performance, such as expanding the dataset variety and employing more advanced image processing techniques. Consequently, this system has the potential to make a positive impact on human-computer interaction.
Analisis Decision Table Testing untuk Pengujian Blackbox Website Pusat Studi Bencana IPB Nasir, Muhammad; Nurjihan, Saniyyah Wafa; Nurbadillah, Nurbadillah; Faturrahman, Nafis; Wiguna, Indra Maki; Lasardi, Ekky Mulia; Wicaksono, Aditya
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 11 No 4 (2024): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v11i4.9618

Abstract

 This research examines black box testing using the Decision Table Testing technique on the Disaster Study Center website at IPB. This technique was chosen for its ability to identify logical errors and relevant testing scenarios, thereby optimizing test coverage in software development. The research method involves analyzing the website's features to identify potential conditions and actions that serve as the foundation for constructing the decision table. Each condition and action is systematically tested to detect any discrepancies or errors that may arise during website use. The testing results reveal several scenarios that the system has not adequately accommodated, particularly in user input handling and data validation. This finding indicates that the application of Decision Table Testing can improve test quality, especially for features with complex logic. In conclusion, this study highlights the importance of decision table-based testing in enhancing the reliability and accuracy of website functions, making a significant contribution to reducing potential errors that may impact user experience.
Pengaruh Kreativitas dan Inovasi dalam Desain Grafis sebagai Pendukung Branding UMKM Nurbadillah, Nurbadillah; Wiguna, Indra Maki; Fadlurohman, Rizky; Kuntari, Wien; Nurbadillah
Jurnal Akuntansi, Manajemen, Bisnis dan Teknologi Vol 5 No 1 (2025): Jurnal Akuntansi, Manajemen, Bisnis dan Teknologi Edisi Februari 2025
Publisher : Sekolah Tinggi Ilmu Ekonomi Mahaputra Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56870/158k1d46

Abstract

Graphic design is very important for helping the branding of Micro, Small, and Medium Enterprises (MSMEs), especially in today's competitive digital world. This study aims to look at how creativity and innovation in graphic design affect the success of MSMEs branding. Using a quantitative method, data was gathered through a survey with a Likert-scale-based questionnaire from 25 MSMEs owners in the food, fashion, and craft industries in the Greater Jakarta area (Jabodetabek). The analysis methods used are descriptive analysis and multiple linear regression to assess the link between creativity and innovation in graphic design and branding success. The findings show that graphic design aspects like logos, packaging, and creative promotional visuals can boost product attractiveness (84%), build a solid brand image (86%), and encourage customer loyalty (82%). Participants also mentioned that graphic design plays a key role in increasing the competitiveness of MSMEs in the market (86%). However, limited access to technology and design software (74%) is a significant obstacle that must be tackled. This research shows that graphic design is not just about looks but is also a strategic tool in branding that can strengthen brand identity and help with product marketing. To make better use of graphic design, suggested actions include enhancing access to technology, educating MSMEs owners on branding and graphic design, and working with professional designers. This study gives useful suggestions for MSMEs to implement more creative and innovative branding strategies to boost their competitiveness in a constantly changing market.