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All Journal ISTORIA Jurnal Teknik Informatika (JUTIF)
Hana, Muhammad Yusril
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Computer Science & IT Education

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THE EXPANSION OF JEPARA IN THE XVI CENTURY AND ITS POTENTIAL AS A SUPPLEMENT TO HISTORY LEARNING MATERIALS Hana, Muhammad Yusril; Wijaya, Daya Negri
ISTORIA : Jurnal Pendidikan dan Ilmu Sejarah Vol. 20 No. 1 (2024): ISTORIA Edisi Maret 2024, Vol. 20. No.1
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/istoria.v20i1.72384

Abstract

This research aims to develop a history learning supplement on the XVI Century Jepara Expansion. This article is made using historical research methods, in the form of topic selection, source collection or heuristics in the form of "Suma Oriental" by Tome Pires; Jorge de Lemos's chronicle, "Cercos de Malaca"; Diogo do Couto's chronicle "Decada da Asia", source criticism or verification, interpretation, and historical writing or historiography. The results of this research explain the political conditions of Jepara in the 16th century. Jepara is an area on the north coast of Java Island which has a strong sea fleet. This led to several kingdoms asking for help againts the Portuguese, such as the Sultanate of Aceh, the Sultanate of Johor, and the Sultanate of Maluku. The expansion of Jepara in the 16th century was carried out by several Jepara leaders since 1512 during the reign of Pati Unus. Expansion was then carried out again during the reign of Queen Kalinyamat, which was the heyday of the Jepara Kingdom. The XVI Century Jepara Expansion material has the potential to be a supplement to history learning in textbook form, because this material is not discussed in textbooks published by the Ministry of Education and Culture.
Comparative Analysis of Explainable AI Methods LIME, SHAP, and ELI5 on Random Forest Based Indonesian E-Commerce Sentiment Classification Winanta, Haditya Pandu; Hana, Muhammad Yusril; Hasan, Firman Noor
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 2 (2026): JUTIF Volume 7, Number 2, April 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.2.5642

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.
Co-Authors Daya Negri Wijaya Firman Noor Hasan Winanta, Haditya Pandu