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All Journal Jurnal TAM (Technology Acceptance Model) bit-Tech Jurnal TAM (Technology Acceptance Model)
Febri Maspiyanti
Pancasila University
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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GAME LEGENDA ASAL MULA DANAU TOBA BERBASIS DESKTOP Febri Maspiyanti; Indah Erika Sulistya
Jurnal TAM (Technology Acceptance Model) Vol 9, No 1 (2018): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (340.335 KB)

Abstract

Game can be used as media to implement play activity. The Legend of Toba Lake game is a game that created to preserve the existing legend back on the island of Sumatra, especially North Sumatra Province. This game created using Unity 3D with desktop-based adventure game theme. This game brings the history plot of Toba Lake as a background story. In this game, there are five 3D scenes based on the Toba Lake plot twist story. In this study, we use Fisher Yates Shuffle algorithm for the questions randomization. In order to accompolish the game plot, the player have to complete all the mission in each scene.
GAME LEGENDA ASAL MULA DANAU TOBA BERBASIS DESKTOP Febri Maspiyanti; Indah Erika Sulistya
Jurnal TAM (Technology Acceptance Model) Vol 9, No 1 (2018): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v9i1.532

Abstract

Game can be used as media to implement play activity. The Legend of Toba Lake game is a game that created to preserve the existing legend back on the island of Sumatra, especially North Sumatra Province. This game created using Unity 3D with desktop-based adventure game theme. This game brings the history plot of Toba Lake as a background story. In this game, there are five 3D scenes based on the Toba Lake plot twist story. In this study, we use Fisher Yates Shuffle algorithm for the questions randomization. In order to accompolish the game plot, the player have to complete all the mission in each scene.
Ontology-Based Semantic Web Model for Cervical Cancer Information Retrieval Sri Rezeki Candra Nursari; Setyawan Widyarto; Amir Murtako; Febri Maspiyanti
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3916

Abstract

Ontology and Semantic Web technologies have become important approaches for improving the accessibility, integration, and semantic accuracy of medical information, particularly in supporting early awareness and information retrieval related to cervical cancer. This study proposes a hybrid ontology and Semantic Web model to enhance cervical cancer information retrieval by transforming heterogeneous web-based health information into structured and machine-interpretable knowledge. The research was conducted through several stages, including data collection using purposive sampling, preprocessing, data cleaning, labelling, ontology modelling, and Semantic Web implementation. A total of 645 data records were collected from 62 web sources and organized into eight main domain features: symptoms, affected organs, maintenance, treatment, characteristic features, causes, prevention, and types of cervical cancer. The proposed system adopts a layered Semantic Web architecture consisting of XML, RDF, OWL, and logic layers. The XML layer represents the data structure, the RDF layer defines semantic relationships, and the OWL-based ontology layer models domain knowledge and rules. In contrast, the logic layer enables reasoning and knowledge inference. In addition, heuristic-based mapping is applied to connect relational database schemas with ontology models to support semantic interoperability. The results show that the proposed model can represent cervical cancer knowledge more systematically and improve semantic search capabilities in healthcare information systems. Therefore, this study contributes to the development of intelligent, interoperable medical information retrieval systems to support cervical cancer education, prevention, and early detection.
Co-Authors Amir Murtako Indah Erika Sulistya Setyawan Widyarto