Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal Jurnal Informatika dan Rekayasa Komputer Jurnal Manajemen Teknologi dan Sistem Informasi
Yaticha, Ni Luh Ayu
Unknown Affiliation
Computer Science & IT

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Analisis Penerimaan Layanan Aplikasi Ijambikota Dengan Integrasi TFF Dan UTAUT Yaticha, Ni Luh Ayu; Setiawan Assegaff; Benni Purnama
Jurnal Informatika Dan Rekayasa Komputer(JAKAKOM) Vol 5 No 2 (2025): JAKAKOM Vol 5 No 2 SEPTEMBER 2025
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jakakom.2025.5.2.2307

Abstract

This study aims to analyze the acceptance of iJambiKota application services by integrating the Task Technology Fit (TTF) model and the Unified Theory of Acceptance and Use of Technology (UTAUT). The main focus of this research is to identify the extent of user acceptance of the iJambiKota application and what factors influence user decisions in adopting these applications. The TTF-UTAUT model combines eight variables, namely task characteristics, technology characteristics, task-technology fit, performance expectations, effort expectations, social influence, facilitating conditions, and user acceptance. As part of the methodology, questionnaires were distributed to 341 respondents, and the collected data were analyzed using the PLS-SEM method with the help of the SmartPLS tool. The analysis results show that the TTF-UTAUT model can explain 81.2% of the acceptance of iJambiKota application services. Factors that have a significant effect on acceptance include task and technology compatibility, performance expectations, effort expectations, social influence, and facilitating conditions. To encourage increased use of the iJambiKota application, it is recommended that there be more intensive socialization activities, innovation, and simulation of application features.
Rancang Bangun Sistem Arsip Digital Berbasis Web Untuk Meningkatkan Efisiensi Pengelolaan Dokumen Pada SMPN 27 Muaro Jambi Ophelia, Chandy; Astri, Lola Yorita; Nurhaliza, Tiko; Suyanti; Yaticha, Ni Luh Ayu
Jurnal Manajemen Teknologi Dan Sistem Informasi (JMS) Vol 6 No 2 (2026): JMS Vol 6 No 2 September 2026
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jms.2026.6.2.2970

Abstract

This study aims to design and develop a web-based digital archiving system at SMP Negeri 27 Muaro Jambi using a system modeling approach based on the Unified Modeling Language (UML). The current problem is that document management and storage are still carried out manually, which can lead to various challenges such as difficulty in locating documents, delays in archive management, and the risk of loss or damage to important documents. The research method used is descriptive, with stages that include data collection through observation, interviews, and document review; system requirements analysis; system design using UML diagrams consisting of use case diagrams, activity diagrams, sequence diagrams, and class diagrams; and the system implementation and testing stages using the black-box testing method. The expected outcome of this research is a web-based digital archiving system capable of assisting the school in managing documents in a more structured, secure, and easily accessible manner. Additionally, the developed system is expected to improve efficiency in the processes of storing, searching for, and managing documents at SMP Negeri 27 Muaro Jambi. This research is also expected to support the implementation of digital transformation within educational institutions through the utilization of web-based information systems technology
ANALISIS PERBANDINGAN CONDITIONAL RANDOM FIELD (CRF) UNTUK NAMED ENTITY RECOGNITION ENTITAS SPESIES PADA DATASET SPECIES_800 DAN LINNAEUSANALISIS PERBANDINGAN CONDITIONAL RANDOM FIELD (CRF) UNTUK NAMED ENTITY RECOGNITION ENTITAS SPESIES PADA DATASET SPECI Siswanto, Agus; Yaticha, Ni Luh Ayu; Wardani, Muhammad; Febri; Pareza Alam Jusia
Jurnal Manajemen Teknologi Dan Sistem Informasi (JMS) Vol 6 No 2 (2026): JMS Vol 6 No 2 September 2026
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jms.2026.6.2.2976

Abstract

Named Entity Recognition (NER) is a fundamental task in Natural Language Processing (NLP) aimed at identifying and classifying named entities in text [1], [2]. This study presents a comparative analysis of the Conditional Random Field (CRF) model performance in recognizing biological species entities on two benchmark datasets: Species_800 and Linnaeus. The CRF model was trained using character-based and contextual linguistic features including capitalization, affixes, punctuation, and neighboring context up to two positions. Evaluation was performed using Precision, Recall, and F1-Score metrics via the seqeval library under the BIO tagging scheme. Experimental results show that the CRF model on the Linnaeus dataset achieved an F1-Score of 0.7890 (Precision: 0.9505, Recall: 0.6744), while on Species_800 it achieved an F1-Score of 0.6519 (Precision: 0.7298, Recall: 0.5891). Performance differences are analyzed through dataset characteristics including label distribution, entity density, sentence length, and entity-to-token ratio. Linnaeus yields better overall performance with an F1 gap of 0.1370, attributed to annotation consistency and a lower entity ratio.
Co-Authors Agus Siswanto Febri Lola Yorita Astri, Lola Yorita Nurhaliza, Tiko OPHELIA, CHANDY Pareza Alam Jusia Purnama, Benni Setiawan Assegaf Suyanti Wardani, Muhammad