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Erwin Daniel Sitanggang
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LOFIAN: Jurnal Teknologi Informasi dan Komunikasi
Published by Universitas Mandiri Bina Prestasi
ISSN : 27989836     EISSN : 27989593     DOI : https://doi.org/10.58918/lofian.v2i2
Core Subject : Science,
Computer Science & IT
LOFIAN: Jurnal Teknologi Informasi dan Komunikasi, merupakan jurnal ilmiah yang berfokus pada bidang Teknologi Informasi dan Komunikasi (TIK) bertaraf nasional yang diterbitkan oleh Program Studi Teknik Informatika Universitas Mandiri Bina Prestasi (UMBP) dengan e-ISSN: 2798-9593 dan p-ISSN: 2798-9836. Diterbitkan secara berkala enam bulan sekali yaitu September dan Maret dengan tujuan untuk menyebarluaskan pemikiran konseptual atau ide-ide berupa temuan, inovasi dan penerapan teknologi ilmiah yang telah dicapai di bidang penelitian.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 2 Documents
 1 
Search results for , issue "Vol 5 No 2 (2026): Pebruari" : 2 Documents clear
Studi Literatur Information Retrieval System Semantik Untuk Pencarian Produk E-Commerce Maulana Farras; Silvia Hanum; Roberto Kaban
LOFIAN: Jurnal Teknologi Informasi dan Komunikasi Vol 5 No 2 (2026): Pebruari
Publisher : Universitas Mandiri Bina Prestasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58918/lofian.v5i2.291

Abstract

This research aims to analyze the development of the Semantic Information Retrieval System (Semantic IRS) approach in e-commerce product search based on descriptions through a literature study of 15 scientific articles consisting of national and international publications. The results of the analysis show that 33% of articles use the semantic IR and dense retrieval approaches as the basis for semantic mapping between queries and product documents. The late interaction and multimodal semantic retrieval approaches were each applied in 27% of articles, indicating an increasing research focus on token-level semantic interaction modeling and the integration of textual and visual information. Additionally, 13% of articles utilized query expansion and semantic relation modeling as supporting methods to improve search relevance. In terms of methodology, 80% of article used a quantitative experimental approach with information retrieval system metric-based evaluation, and 67% of articles adopted neural models. Overall, these quantitative findings indicate that neural model-based Semantic IR, late interaction, and multimodal approaches are the dominant and most relevant directions for handling long and unstructured description-based product searches in modern e-commerce systems.
Sistem Pendukung Keputusan Penentuan Penerima Bantuan Keuangan Korban Bencana Alam Menggunakan Metode AHP Sartana; Fauzi Haris Simbolon; Simbolon, Marice Hotnauli
LOFIAN: Jurnal Teknologi Informasi dan Komunikasi Vol 5 No 2 (2026): Pebruari
Publisher : Universitas Mandiri Bina Prestasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58918/lofian.v5i2.296

Abstract

The AHP method is a way to break down complex multi-factor or multi-criteria problems into a hierarchy. The AHP method was first proposed by Thomas L. Saaty, a simple and efficient method for identifying solutions from a set of alternatives. In this study, all applicants for assistance obtained based on a predetermined quota are entitled to receive assistance with a size that matches the weight obtained from the AHP. The method used to solve this research problem uses the Analytical Hierarchy Process (AHP) method. The programming language used is Visual Basic, which is useful for processing data into information, and Cristal Report as a medium for reporting. This decision support system seeks priority recipients of financial assistance for victims of natural disasters. The application of the decision support system seeks solutions in determining the provision of financial assistance to victims of natural disasters with criteria for the category of casualties, damage categories, building types, and land status categories.

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