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All Journal Jurnal Pendidikan Teknologi dan Kejuruan Telematika : Jurnal Informatika dan Teknologi Informasi Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JUTIK : Jurnal Teknologi Informasi dan Komputer Jurnal Informatika Universitas Pamulang Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Journal of Computer Science and Informatics Engineering (J-Cosine) JUSTIN (Jurnal Sistem dan Teknologi Informasi) Seminar Nasional Aplikasi Iptek (SINAPTEK)
Santi Ika Murpratiwi
STMIK STIKOM Indonesia
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Social Sciences Other

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Boosting Time Efficiency in Helmeted Face Recognition with Transfer Learning and k-NN Dena Indiarto Permadi; Ida Bagus Ketut Widiartha; Santi Ika Murpratiwi; Tran Thi Thanh Thuy
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 8 No 2 (2024): Desember 2024
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v8i2.616

Abstract

This research aims to optimize the retraining process of face recognition systems for motor vehicle parking areas using Transfer Learning and k-nearest Neighbors (k-NN). The system enhances efficiency by retraining only on new classes, identified by checking the encoding file, allowing it to skip pre-existing classes, thus significantly improving retraining speed. Face data from 100 individuals (2725 images) was collected and augmented, with the VGG16 architecture used to generate face embeddings through Transfer Learning. Achieving 95.62% accuracy, with a precision, recall, and F1-score of 0.96 at k=1, the system demonstrates high accuracy and speed in identifying registered faces while effectively rejecting unknown ones. These optimizations greatly increase the feasibility of face recognition in parking security systems, making them more responsive to new data. Future research should focus on increasing dataset diversity and exploring more complex conditions, such as varied lighting, to enhance system performance and robustness further.
Design and Development of a Website-Based “Agriplan” Information System to Help Plant Care Wila Marviani BJ; Santi Ika Murpratiwi; Dwi Ratnasari; Herliana Rosika
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 8 No 2 (2024): Desember 2024
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v8i2.618

Abstract

Agriculture has been an important part of human life for a long time, with farmers as the main drivers. Farmers often face the challenge of increasing land conversion, especially in West Nusa Tenggara (NTB) with population growth and the need for land for housing, offices, and government facilities. As a result, every year around 10,000 hectares of agricultural land in NTB shrinks from a total of 270,000 hectares, causing an increase in raw material prices, economic decline and loss of farmer jobs. This research aims to develop a Website-Based “Agriplan” Information System to Assist Plant Care, to support the management of narrow agricultural land with access to agricultural information and solutions. Development using Personal Extreme Programming method, with a qualitative approach through observation and interviews, as well as Black Box Testing and User Acceptance Testing. The test results show that 90.04% of this system is effective in supporting sustainable agriculture.
Analyzing Hotel Owners Acceptance of Tiket.com Using Technology Acceptance Model Baiq Dwi Zulianti Kurrotaa'yun; Noor Alamsyah; Helmina Andriani; Santi Ika Murpratiwi
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 13 No. 2 (2024)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v13i2.76188

Abstract

Lombok, a captivating island in West Nusa Tenggara, faces tourism challenges due to the COVID-19 pandemic, causing a decline in visits and revenue. Senggigi, known for its picturesque beaches, experienced a drastic drop in hotel occupancy. Focusing on post-pandemic recovery, the aim of this research is to investigate the adoption of Tiket.com applications by hotel owners in Senggigi, utilizing the Technology Acceptance Model (TAM) with a Partial Least Squares (PLS) approach. This research method is using a quantitative methodology, the study involves 50 respondents from 20 hotels, distributing questionnaires to explore perceptions of Online Travel Agent technology adoption based on TAM variables. The result of this research is the Partial Least Squares analysis indicates that perceived ease of use significantly influences perceived usefulness, emphasizing the importance of a user-friendly platform. While perceived usefulness alone may not directly impact usage intention, positive attitudes toward the system play a crucial role. The study recommends collaborative efforts between Tiket.com service providers and Senggigi hotel owners to enhance system adjustments, aligning with user needs and expectations. This research contributes valuable insights into technology's role in post-pandemic tourism recovery, providing a nuanced understanding of factors influencing the acceptance of Tiket.com within the Senggigi hospitality sector.
Development of Scholarship Information and Consultation Center Website for Straya Institute Using Prototyping Method Faza Alliya Audristy Putri Ronce; Dwi Ratnasari; Santi Ika Murpratiwi
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 9 No 1 (2025): Juni 2025
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v9i1.635

Abstract

The rapid development of information technology has had a considerable impact on the efficiency of education administration, especially in the management of scholarship information. However, many institutions still experience difficulties in handling data and limited access to scholarship information. The purpose of this research is to create a Scholarship Information and Consultation Center website for Straya Institute that can overcome these difficulties through prototyping. The prototyping approach allows for iterative development, ensuring that the system responds to user needs through continuous feedback and revision. The system is intended to facilitate access to scholarship information, program registration, and consultation with users. Evaluation methods include system testing using black-box testing and User Acceptance Testing (UAT), involving administrative and general users. The results showed a high level of user satisfaction (average UAT score of 98.2%), verifying the efficiency, usability, and usefulness of the system. This research advances the field by providing an effective digital solution for scholarship management, improving accessibility, and optimizing administrative operations. Future research could look at other enhancements such as automated scholarship file selection and AI-powered recommendation systems to improve user experience.
Implementation of Profile Matching Method in Student Major Information System at SMAN 4 Mataram Nazmi Wardiani; Santi Ika Murpratiwi; Herliana Rosika; Royana Afwani; Sri Endang Anjarwani; Dwi Ratnasari
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 9 No 2 (2025): December 2025
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v9i2.654

Abstract

Education is a crucial component in a country's development, and the quality of education is a key factor in determining national progress. In Indonesia, the Ministry of Education, Culture, Research, and Technology has implemented the Merdeka Curriculum, which provides students with greater flexibility to choose subjects based on their interests and talents. At SMAN 4 Mataram, the subject selection process starting in the second semester of grade 10 still faces challenges, such as students' difficulty in determining suitable majors and the lack of an integrated data management system. This study developed a decision support system based on the Profile Matching method to provide objective major recommendations by aligning students’ competencies with the criteria of each major. The system was developed using the Waterfall model to ensure a structured design process. Testing was carried out with White Box Testing to validate algorithm calculations, Black Box Testing to check system functionality, and User Acceptance Testing to assess user satisfaction. The results showed a very positive response from administrators (MOS 4.95 out of 5.00) and a positive response from students (MOS 4.00 out of 5.00). This research contributes a practical and flexible decision support solution specifically adapted to high schools implementing the Merdeka Curriculum. With this system, the major selection process is expected to become more efficient, integrated, and capable of providing recommendations that better align with students’ interests, talents, and academic potential. Key words: Education, Decision Support System (DSS), Majoring, Profile Matching, Waterfall.
Co-Authors Afwani, Royana Aranta, Arik Arik Aranta Arik Aranta Aristamy, I Gusti Ayu Agung Mas Asana, I Made Dwi Putra Baehaqi Baiq Dwi Zulianti Kurrotaa'yun Christina Purnama Yanti Dena Indiarto Permadi Dewa Ayu Indah Cahya Dewi Dewa, I Dewa Made Aditya Prasantasya Dwi Ratnasari Faza Alliya Audristy Putri Ronce Gede Aldhi Pradana Haris Abdullah Fasha Helmina Andriani herliana rosika I Gusti Agung Indrawan I Made Oka Widyantara I Putu Susila Handika Ida Bagus Ketut Widiartha Moh. Ali Albar Nazmi Wardiani Ni Luh Putu Agetania NI LUH PUTU MERY MARLINDA Noor Alamsyah Sri Endang Anjarwani Thalib, Emmy Febriani Tran Thi Thanh Thuy Wila Marviani BJ