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primary topic: (JUTIF - S2) - Winanta, Hana, Hasan [2026-04-19]

(JUTIF - S2) - Winanta, Hana, Hasan [2026-04-19]
type: AcademicArticle
type: Article
abstract: The rapid growth of e-commerce platforms in Indonesia has generated a massive volume of product reviews, making sentiment classification essential for understanding customer perceptions and supporting data-driven decision making. This study aims to develop a sentiment classification model for Indonesia e-commerce product reviews while enhancing model transparency through Explainable Artificial Intelligence (XAI). The proposed approach employs a Random Forest classifier eith Term Frequency-Inverse Document Frequency (TF-IDF) for feature extraction. The dataset consists of 23,194 product reviews from the fashion and electronics categories, classified into positive, negative, and neutral sentiment. Model performance is evaluated using accuracy, precision, recall, and F1-Score metrics. Experimental results show taht the Random Forest model achieves an accuracy of 93.74%, with the best performance observed in the postive sentiment class. To improve interpretability, three XAI methods-LIME, SHAP, and ELI5-are applied. The analysis indicates that LIME is effective for local explanations, SHAP provides consistent global and local feature importence, and ELI5 offers concise and computationally efficient global explanations. This study contributes to the field of computer science by demostrating how comparative XAI analysis can bridge the gap between high-performing black-box models and interpretable sentiment classification in high-dimensional extual data, thereby supporting transparent and accountavle AI system in e-commerce applications.
date: 2026-04-19
volume: 7
issue: 2
is part of: JUTIF: Jurnal Teknik Informatika
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ArticleEPrint
is part of: repository
has document: (JUTIF - S2) - Winanta, Hana, Hasan [2026-04-19] (Text)
subject: T Technology (General)

(JUTIF - S2) - Winanta, Hana, Hasan [2026-04-19] (Text)
type: Document
has file: [2026-04-19] - Winanta, Hana, Hasan (JUTIF - S2).pdf
has part: [2026-04-19] - Winanta, Hana, Hasan (JUTIF - S2).pdf

(JUTIF - S2) - Winanta, Hana, Hasan [2026-04-19] (Text)
type: Document
has file: 1. Cover.pdf
has part: 1. Cover.pdf

(JUTIF - S2) - Winanta, Hana, Hasan [2026-04-19] (Text)
type: Document
has file: 2. Editorial Team.pdf
has part: 2. Editorial Team.pdf

(JUTIF - S2) - Winanta, Hana, Hasan [2026-04-19] (Text)
type: Document
has file: 3. Daftar Isi.pdf
has part: 3. Daftar Isi.pdf

(JUTIF - S2) - Winanta, Hana, Hasan [2026-04-19] (Text)
type: Document
has file: 4. Artikel.pdf
has part: 4. Artikel.pdf

(JUTIF - S2) - Winanta, Hana, Hasan [2026-04-19] (Text)
type: Document
has file: 5. Turnitin - Similiarity Report (9%).pdf
has part: 5. Turnitin - Similiarity Report (9%).pdf

(JUTIF - S2) - Winanta, Hana, Hasan [2026-04-19] (Text)
type: Document
has file: 6. LOA - Winata, Hasan.pdf
has part: 6. LOA - Winata, Hasan.pdf

(JUTIF - S2) - Winanta, Hana, Hasan [2026-04-19] (Text)
type: Document
has file: Korespondensi.1 - Submission Acknowledgement.pdf
has part: Korespondensi.1 - Submission Acknowledgement.pdf

(JUTIF - S2) - Winanta, Hana, Hasan [2026-04-19] (Text)
type: Document
has file: Korespondensi.2 - Editor Decision for Revision - 1.pdf
has part: Korespondensi.2 - Editor Decision for Revision - 1.pdf

(JUTIF - S2) - Winanta, Hana, Hasan [2026-04-19] (Text)
type: Document
has file: Korespondensi.3 - Screenshot.pdf
has part: Korespondensi.3 - Screenshot.pdf

Informatics, Universitas Jenderal Soedirman
type: Organization

JUTIF: Jurnal Teknik Informatika
type: Collection
issn: 27233871

Firman Noor Hasan
type: Person
given name: Firman Noor
family name: Hasan

HTML Summary of #52288 (JUTIF - S2) - Winanta, Hana, Hasan [2026-04-19]
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primary topic: (JUTIF - S2) - Winanta, Hana, Hasan [2026-04-19]

T Technology (General)
type: Concept