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ANALYSIS OF SOFTWARE QUALITY USING THE FURPS+ MODEL Puspita, Safriya Murni; Ardhani, Alvina Waihda; Retnaningrum, Dea Ayu; Firmansyah, Afreza Restu; Rolliawati, Dwi
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 11, No 1 (2024): Desember 2024
Publisher : Universitas Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v11i1.3233

Abstract

Abstract: Software quality analysis is essential to ensure applications are reliable, efficient, and meet user needs. The FURPS+ model (Functionality, Usability, Reliability, Performance, Supportability, plus) provides a comprehensive framework for evaluating software quality. This study analyzes the implementation of Software Quality Assurance (SQA) in the SKEK UINSA application, a Learning Management System (LMS) designed to record extracurricular activities of UINSA students. With 100 respondents (lecturers, students, and alumni), the research employs a quantitative approach to examine both functional and non-functional aspects. The results show that functionality and usability aspects scored an average of 71%, reliability 66%, performance 61%, supportability 79%, and additional factors (plus) 64%. Overall, the SKEK UINSA application demonstrates good quality in terms of functionality, ease of use, performance, and flexibility. Keywords: FURPS+; Reliability; SKEK; Validity; Quantitative Method  Abstrak: Analisis kualitas perangkat lunak penting untuk memastikan aplikasi andal, efisien, dan sesuai kebutuhan pengguna. Model FURPS+ (Functionality, Usability, Reliability, Performance, Supportability, plus) menawarkan kerangka komprehensif untuk evaluasi kualitas perangkat lunak. Penelitian ini menganalisis penerapan Software Quality Assurance (SQA) pada aplikasi SKEK UINSA, aplikasi semacam LMS (Learning Management System) untuk mencatat kegiatan ekstrakurikuler mahasiswa UINSA. Dengan 100 responden (dosen, mahasiswa, dan alumni), penelitian menggunakan pendekatan kuantitatif untuk mengkaji aspek fungsional dan non-fungsional. Hasilnya, aspek functionality dan usability memiliki persentase rata-rata 71%, reliability 66%, performance 61%, supportability 79%, dan faktor tambahan (plus) 64%. Secara keseluruhan, aplikasi SKEK UINSA menunjukkan kualitas baik dalam fungsi, kemudahan penggunaan, kinerja, dan fleksibilitas. Kata kunci: FURPS+;  Metode Kuantitatif ; SKEK; Validitas; Reliabilitas
Classification of Vegetable Types Using the Convolutional Neural Network (CNN) Algorithm Karunia, Wilis Arum; Puspita, Safriya Murni; Rolliawati, Dwi; Yusuf, Ahmad
Paradigma - Jurnal Komputer dan Informatika Vol. 27 No. 1 (2025): March 2025 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v27i1.7577

Abstract

This study aims to classify vegetable types using the Convolutional Neural Network (CNN) algorithm with a dataset encompassing 15 vegetable classes and a total of 31,000 images. By utilizing the TensorFlow and Keras libraries, the CNN model was designed with convolutional, pooling, and dense layers to recognize visual features such as color, texture, and shape. The results indicate a highest validation accuracy of 95.83% and a testing accuracy of 93%. This research contributes to the application of the CNN algorithm for image classification and demonstrates its potential in handling multi-class datasets effectively. However, since the vegetables used have very distinct shapes and textures, this study is more relevant in the context of the technical application of the CNN algorithm rather than practical benefits. The research would be more impactful if applied to vegetables with similar shapes and characteristics, thereby supporting farmers or individuals studying vegetable traits in greater depth. Additionally, such an approach could address challenges in differentiating visually similar vegetable types, making the technology more valuable in real-world agricultural or educational settings.
ANALYSIS OF SOFTWARE QUALITY USING THE FURPS+ MODEL Puspita, Safriya Murni; Ardhani, Alvina Waihda; Retnaningrum, Dea Ayu; Firmansyah, Afreza Restu; Rolliawati, Dwi
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 11 No. 1 (2024): Desember 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v11i1.3233

Abstract

Abstract: Software quality analysis is essential to ensure applications are reliable, efficient, and meet user needs. The FURPS+ model (Functionality, Usability, Reliability, Performance, Supportability, plus) provides a comprehensive framework for evaluating software quality. This study analyzes the implementation of Software Quality Assurance (SQA) in the SKEK UINSA application, a Learning Management System (LMS) designed to record extracurricular activities of UINSA students. With 100 respondents (lecturers, students, and alumni), the research employs a quantitative approach to examine both functional and non-functional aspects. The results show that functionality and usability aspects scored an average of 71%, reliability 66%, performance 61%, supportability 79%, and additional factors (plus) 64%. Overall, the SKEK UINSA application demonstrates good quality in terms of functionality, ease of use, performance, and flexibility. Keywords: FURPS+; Reliability; SKEK; Validity; Quantitative Method  Abstrak: Analisis kualitas perangkat lunak penting untuk memastikan aplikasi andal, efisien, dan sesuai kebutuhan pengguna. Model FURPS+ (Functionality, Usability, Reliability, Performance, Supportability, plus) menawarkan kerangka komprehensif untuk evaluasi kualitas perangkat lunak. Penelitian ini menganalisis penerapan Software Quality Assurance (SQA) pada aplikasi SKEK UINSA, aplikasi semacam LMS (Learning Management System) untuk mencatat kegiatan ekstrakurikuler mahasiswa UINSA. Dengan 100 responden (dosen, mahasiswa, dan alumni), penelitian menggunakan pendekatan kuantitatif untuk mengkaji aspek fungsional dan non-fungsional. Hasilnya, aspek functionality dan usability memiliki persentase rata-rata 71%, reliability 66%, performance 61%, supportability 79%, dan faktor tambahan (plus) 64%. Secara keseluruhan, aplikasi SKEK UINSA menunjukkan kualitas baik dalam fungsi, kemudahan penggunaan, kinerja, dan fleksibilitas. Kata kunci: FURPS+;  Metode Kuantitatif ; SKEK; Validitas; Reliabilitas
Analisis Komunikasi Interpersonal Terhadap Kinerja Pegawai Kemendukbangga/ BKKBN Provinsi Jawa Timur Karunia, Wilis Arum; Illah, Aina Nur; Puspita, Safriya Murni; Mohammad Khusnu Milad
Jurnal Intelek Insan Cendikia Vol. 2 No. 5 (2025): MEI 2025
Publisher : PT. Intelek Cendikiawan Nusantara

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

Abstract

Interpersonal communication is a key factor in enhancing work effectiveness and employee performance in government organizations. This research seeks to examine the influence of interpersonal communication on employee performance at BKKBN East Java Province. Utilizing a qualitative approach, data collection methods include observation, interviews, and documentation. The results reveal that effective interpersonal communication enhances coordination, increase productivity, and create a harmonious work environment. However, several barriers hinder communication effectiveness, such as a lack of openness, differences in communication styles, rigid organizational culture, and limitations in communication technology. To address these challenges, several strategies are recommended, including enhancing communication training, promoting an open communication culture, optimizing the use of technology, and fostering more responsive leadership. With the right strategies, interpersonal communication can serve as a critical factor in improving employee performance and achieving organizational goals.