Predicting Gen Z’s Sentiments on Gorontalo’s CulturalWisdom Using Sentiment Analysis Models

In the digital era, Generation Z faces both opportunities and challenges in understanding and preserving local cultural wisdom. It is essential to ensure that cultural values go beyond superficial consumption in cyberspace and remain deeply valued as integral aspects of identity and history. As technological advances and globalization continue influencing young people to preserve, local culture presents an increasing challenge. This study aims to determine Generation Z’s perceptions of Gorontalo’s local cultural wisdom, focusing on the Dikili and Meeraji traditions through a sentiment analysis approach. This research method uses the Naive Bayes algorithm to analyze positive, negative, and neutral sentiments derived from text data processed through a structured pre-processing stage. The findings reveal that Generation Z’s perceptions of the Dikili and Meeraji cultures are mostly positive, reflecting a strong appreciation and acceptance of these cultural values. However, the presence of negative sentiment highlights a critical view among some members of Generation Z, who consider certain aspects of these traditions less relevant or controversial in a modern context. In addition, neutral sentiment indicates a segment of young people who may need more exposure or information to form an informed opinion. The study concludes that while Dikili and Meeraji cultures still hold value among Generation Z, a more inclusive and adaptive approach to cultural preservation is needed. The findings offer valuable insights for strategies to preserve and develop local cultural heritage in the digital age

Authors

Institutions

Publication Details

Journal
Matrik Jurnal Manajemen Teknik Informatika dan Rekayasa Komputer
Published
2025-03-17
DOI
https://doi.org/10.30812/matrik.v24i2.4591
Primary Topic
Sentiment Analysis and Opinion Mining
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predicting Gen Z’s Sentiments on Gorontalo’s CulturalWisdom Using Sentiment Analysis Models

A Hermila, Rahmat Taufik R.L Bau, Sitti Suhada, Abdulaziz Ahmed Siyad
Matrik Jurnal Manajemen Teknik Informatika dan Rekayasa Komputer
Sentiment Analysis and Opinion Mining
article

Predicting Gen Z’s Sentiments on Gorontalo’s CulturalWisdom Using Sentiment Analysis Models

A Hermila, Rahmat Taufik R.L Bau, Sitti Suhada, Abdulaziz Ahmed Siyad
article en

Abstract

In the digital era, Generation Z faces both opportunities and challenges in understanding and preserving local cultural wisdom. It is essential to ensure that cultural values go beyond superficial consumption in cyberspace and remain deeply valued as integral aspects of identity and history. As technological advances and globalization continue influencing young people to preserve, local culture presents an increasing challenge. This study aims to determine Generation Z’s perceptions of Gorontalo’s local cultural wisdom, focusing on the Dikili and Meeraji traditions through a sentiment analysis approach. This research method uses the Naive Bayes algorithm to analyze positive, negative, and neutral sentiments derived from text data processed through a structured pre-processing stage. The findings reveal that Generation Z’s perceptions of the Dikili and Meeraji cultures are mostly positive, reflecting a strong appreciation and acceptance of these cultural values. However, the presence of negative sentiment highlights a critical view among some members of Generation Z, who consider certain aspects of these traditions less relevant or controversial in a modern context. In addition, neutral sentiment indicates a segment of young people who may need more exposure or information to form an informed opinion. The study concludes that while Dikili and Meeraji cultures still hold value among Generation Z, a more inclusive and adaptive approach to cultural preservation is needed. The findings offer valuable insights for strategies to preserve and develop local cultural heritage in the digital age

Matrik Jurnal Manajemen Teknik Informatika dan Rekayasa KomputerVol. 24(2)
State University of Gorontalo (ID), Jamhuriya University of Science and Technology (SO)
Openalex Percentile: Top 95%
Sentiment Analysis and Opinion Mining
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Predicting Gen Z’s Sentiments on Gorontalo’s CulturalWisdom Using Sentiment Analysis Models — A Hermila, Rahmat Taufik R.L Bau, et al. · Matrik Jurnal Manajemen Teknik Informatika dan Rekayasa Komputer (2025) | TGRS Research Map | TGRS