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Pengembangan Desain Aplikasi Daily Report dengan Pendekatan User Centered Design Tresnawati, Dewi; Fitriani, Leni; Kamal, Muhammad Abyan; Setiawan, Asep Trisna
Jurnal Algoritma Vol 21 No 1 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-1.1525

Abstract

Independent learning is an activity carried out by students with the aim that students can explore the material provided by the lecturer. Therefore, the Daily Report application is here to help students report independent learning activities carried out by students. Problems arise when students find it difficult to use the Daily Report application due to several things such as inappropriate button placement, input form design that is too rigid and using inappropriate fonts and icons. The aim of this research is to develop the Daily Report application design by applying the user-centered design methodology. The user-centered design methodology is an application design development methodology that focuses on user needs. This research resulted in the development of the Daily Report application design with test results using the usability scale system obtaining an average usability score of 73 with a scale grade of C and an adjective rating of Good, which proves that the development of the application design makes it easier for students to use the Daily Report application.
Pengembangan Desain Aplikasi Daily Report dengan Pendekatan User Centered Design Tresnawati, Dewi; Fitriani, Leni; Kamal, Muhammad Abyan; Setiawan, Asep Trisna
Jurnal Algoritma Vol 21 No 1 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-1.1525

Abstract

Independent learning is an activity carried out by students with the aim that students can explore the material provided by the lecturer. Therefore, the Daily Report application is here to help students report independent learning activities carried out by students. Problems arise when students find it difficult to use the Daily Report application due to several things such as inappropriate button placement, input form design that is too rigid and using inappropriate fonts and icons. The aim of this research is to develop the Daily Report application design by applying the user-centered design methodology. The user-centered design methodology is an application design development methodology that focuses on user needs. This research resulted in the development of the Daily Report application design with test results using the usability scale system obtaining an average usability score of 73 with a scale grade of C and an adjective rating of Good, which proves that the development of the application design makes it easier for students to use the Daily Report application.
Augmented Reality Menggunakan Marker Based Tracking Untuk Informasi Sejarah Kain Tapis Lampung Setiawan, Asep Trisna; Dika Hastanto; Dian Resha Agustina; Adi Permana; Dewi Tresnawati, Dewi Tresnawati
Jurnal Algoritma Vol 22 No 1 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-1.2261

Abstract

Lampung Tapis fabric is one of Indonesia's cultural heritages that possesses its own unique charm and beauty. This fabric originates from Lampung, a province on the island of Sumatra, Indonesia. Lampung Tapis fabric features distinctive patterns, motifs, and production techniques, and is believed to hold significant historical and symbolic value for the Lampung community. In the era of rapidly advancing digital technology, Augmented Reality (AR) has emerged as an innovative tool for preserving, promoting, and safeguarding cultural heritage. AR is a technology that blends the real world with virtual or additional elements through the use of electronic devices such as smartphones or tablets, enabling users to interactively experience digital content within a real-world physical context. One of the main issues is the lack of a complete history of the Lampung Tapis Fabric exhibited at the Ruwa Jurai Museum in Lampung, which poses a challenge as it results in insufficient historical information to understand the origins, development, and value contained within this cultural heritage. As a result, there is a risk of losing valuable information about local cultural heritage. This research has successfully developed an Augmented Reality application that provides information about the Lampung Tapis Cloth, thereby reducing the potential loss of cultural heritage information in Lampung.
Scalable Microservices Architecture for Face Recognition-Based Employee Attendance Systems Setiawan, Ridwan; Hermawan, Wawan; Setiawan, Asep Trisna
Journal of Electrical, Electronic, Information, and Communication Technology Vol 7, No 2 (2025): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.7.2.108430

Abstract

We present a face-recognition-based employee attendance system built on a microservices architecture and integrated with the external Worker AI (LSKK) inference API. The design separates camera I/O, verification, persistence, and presentation into independently deployable services, enabling targeted scaling and resilient operation through asynchronous queues. The system was developed using Rapid Application Development (RAD) and evaluated via black-box testing that covered authentication, camera and AI data views, filtering and pagination, reporting, and employee CRUD. The results show conformance to specifications: the interface renders the expected outputs, and the cooldown policy effectively prevents duplicate entries, while the separation of history (raw) and history_ai (verified) supports traceability and clean reporting. These findings indicate that combining microservices with API-based face recognition offers a practical and maintainable alternative to RFID-based workflows with fewer operational frictions. Limitations include the use of an external inference API (model configuration and thresholds are outside our control) and testing within a single organizational setting. Future work will focus on operational measurements of the deployed pipeline, particularly end-to-end latency under load spikes and queue formation, as well as monitoring misread/error rates to inform model improvements.