Article Per Year (5 Year)
p-Index From 2021 - 2026
2.096
P-Index
This Author published in this journals
All Journal Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Teknik Informatika UNIKA Santo Thomas MEANS (Media Informasi Analisa dan Sistem) Instal : Jurnal Komputer Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Ulead : Jurnal E-pengabdian Blend Sains Jurnal Teknik Jurnal Ilmiah Pengabdian Kepada Masyarakat Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat Pascal: Journal of Computer Science and Informatics
Sinaga, Sony Bahagia
Unknown Affiliation
Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

Published : 17 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search
Journal : Pascal: Journal of Computer Science and Informatics

 1 
Analysis and Implementation of Similarity Measurement in Documents Using Semantic Methods Prayogi, Satria Yudha; Sinaga, Sony Bahagia
Pascal: Journal of Computer Science and Informatics Vol. 1 No. 02 (2024): Pascal: Journal of Computer Science and Informatics
Publisher : Devitara Innovations

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

Abstract

The number of documents available in digital form is increasing. Meanwhile, one document and another document may be related to each other, but they must not be plagiarized without including the reference source. For this reason, a mechanism for detecting similarities is needed. This research only discusses similarity in documents. In this research, the technique used to solve the above problem is to use text mining techniques to categorize the documents searched according to keywords. Meanwhile, to search for documents according to keywords, the indexing process is used to display documents that are searched for according to keywords. Semantics is a technique used by search engines to match key words on one page with another page. This method has been used very often before, because it is very precise and easy. The weight values (W) of D1 and D2 are the same. If the document weight sorting results cannot be sorted quickly, because both W values are the same, then a calculation process using the vector-space model algorithm is needed. The idea of this method is to calculate the cosine value of the angle of two vectors, namely W from each document and W from keywords. From the research results, it can be seen that document 3 (D3) has the highest level of similarity to keywords, followed by D2 and D1.
Designing Fan Speed Regulation Software Using Backpropagation Method Prayogi, Satria Yudha; Sinaga, Sony Bahagia
Pascal: Journal of Computer Science and Informatics Vol. 2 No. 01 (2024): Pascal: Journal of Computer Science and Informatics
Publisher : Devitara Innovations

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

Abstract

Fans have the main function of air conditioning, room fresheners, and dryers which are usually equipped with heating components. In addition, fans are also used in vacuum cleaners and various decorative elements in the room, which play a role in keeping the air temperature within the specified limits. Advances in the field of computer programming provide many benefits, especially in terms of ease and efficiency in the use of devices connected to computers. With control through a computer, the device can be operated more optimally and responsively according to the needs of the user.  
Design of Indonesian Sentence Grammar Checking Software Using Left Corner Parser Nadeak, Berto; Sinaga, Sony Bahagia
Pascal: Journal of Computer Science and Informatics Vol. 2 No. 02 (2025): Pascal: Journal of Computer Science and Informatics
Publisher : Devitara Innovations

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

Abstract

Grammar checking is an important component of Natural Language Processing (NLP), particularly for improving the quality of written communication. This article discusses the design of grammar-checking software for Indonesian sentences using the Left Corner Parser method. The Left Corner Parser is a syntactic parsing method that combines the advantages of top-down and bottom-up parsing, making it efficient in recognizing sentence structures. This study includes the stages of data collection, the design of Indonesian grammatical rules, the implementation of the parser, and the evaluation of checking accuracy. The results show that the software can effectively detect sentence structure errors in various types of sentences, from simple to complex. With further development, this tool has the potential to be applied in educational tools and automatic text editing applications.
Optimization of Indoor Navigation Using the A Algorithm and Adaptive Grid (Gridadapte) for Efficient Pathfinding Ritonga, Asia Leny; Fransiska, Ega; Afdillah, Hafidz; Nainggolan, Johan Alfredo; Sobari, Rahmad Imam; Sinaga, Sony Bahagia
Pascal: Journal of Computer Science and Informatics Vol. 3 No. 01 (2025): Pascal: Journal of Computer Science and Informatics
Publisher : Devitara Innovations

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

Abstract

Optimal path navigation in indoor environments is a crucial problem in the development of robotic systems and location-based services due to complex spatial structures, the presence of obstacles, and limited available pathways. The A* algorithm, as a heuristic-based pathfinding method, is widely used; however, its performance degrades on high-resolution grid maps because of the increasing number of nodes that must be explored. This study proposes the integration of the A* algorithm with an adaptive grid simplification method (Gridadapte) to improve pathfinding efficiency without sacrificing route quality. The research methodology includes grid-based indoor map modeling, the application of Gridadapte to reduce cell density in low-obstacle areas, and the implementation of the A* heuristic function for optimal path search. Performance evaluation is conducted through simulations on several indoor map scenarios by comparing conventional A* and Gridadapte-based A* in terms of the number of explored nodes, path length, and computation time. Simulation results show that the proposed approach significantly reduces the number of search nodes by 30–45% and accelerates computation time by 25–40% compared to A* on regular grids, while the resulting path length remains optimal and does not experience a significant increase. These findings indicate that Gridadapte is effective in reducing the A* search space while preserving the topological structure of the environment. Therefore, the combination of A* and Gridadapte is proven to enhance both the efficiency and accuracy of pathfinding in complex indoor environments. This approach has strong potential for application in autonomous robotic systems, smart building guidance systems, and location-based Internet of Things (IoT) applications in indoor settings such as hospitals, campuses, and shopping malls.
Co-Authors Afdillah, Hafidz Fransiska, Ega Hasugian , Paska Marto Ikorasaki , Frans Irawan, Rico Puji Nainggolan, Johan Alfredo Panjaitan, M. Iqbal Prayogi , Satria Yudha Ritonga, Asia Leny Satria Yudha Prayogi Siagian, Edward Robinson Siagian, Widyanti Masintan Sinurat, Sinar Sirait, Matias Julius Fika Sobari, Rahmad Imam Yasir Hasan