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OPTIMIZING MSME COMPETITIVENESS IN THE DIGITAL ERA THROUGH INNOVATION CAPABILITY, AND CUSTOMER RELATIONSHIP MANAGEMENT Deandra Vidyanata; Melvin Krisdiana Djami Rane; Ita Musfirowati Hanika; Nani Nani
JURNAL MANAJEMEN MAKER STIE SULTAN AGUNG Vol 9, No 2 (2023): Volume 9 Nomor 2 Tahun 2023
Publisher : Sekolah Tinggi Ilmu Ekonomi Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37403/mjm.v9i2.628

Abstract

The main aim of this research is to analyze the influence of innovation capability and customer relationship management on MSME competitiveness. This research uses a literature and field research design with a causal associative approach. This study uses a research instrument test consisting of validity and reliability tests. The quantitative analysis consists of a normality test, regression test, hypothesis test, correlation test, and coefficient of determination. The research results conclude that innovation capability and customer relationship management have a positive and significant effect on MSME competitiveness. The implications of this research state that the ability to create innovative products or services can differentiate a company from its competitors in the market. Innovation allows companies to offer something unique and added value to customers. With a deeper understanding of CRM, MSMEs can identify new opportunities, optimize marketing strategies, and increase customer retention to improve MSME performance, growth and sustainability in an increasingly competitive business environment.
Public Discourse on Waste Sorting Policy: A Sentimentand Topic Analysis Ita Musfirowati Hanika
DAWUH : Islamic Communication Journal Vol. 7 No. 2 (2026): July
Publisher : Yayasan Darussalam Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62159/dawuh.v7i2.2845

Abstract

Waste-sorting policies require not only public participation but also effective communication and implementation support. This study examines public discourse surrounding Jakarta's waste-sorting policy through 413 YouTube commentsby integratingIndoBERTand SentiStrength for sentiment analysis, Liu's framework for opinion-expression analysis, LDA for topic modeling, and human annotation for model validation.Negative sentiment dominated the discourse, with IndoBERT classifying 62.0%of comments as negative and demonstrating stronger agreement with human coders than SentiStrength. Most opinions were expressed through regular-direct structures and explicit expressions. LDA identified three major discussion topics: Waste Sorting Infrastructure and Collection Practices (37.8%), Government Performance and Policy Accountability (36.1%), and Waste Disposal Behavior and Environmental Awareness(26.2%). Negative sentiment was concentrated in discussions of infrastructure and collection practices (65.4%) and government performance and accountability (63.8%). By integrating transformer-based and lexicon-based sentiment analysis with opinion-expression analysis, topic modeling, and human validation, this study provides a more comprehensive understanding of public discourse than sentiment analysis alone.The findings indicate that negative sentiment reflects not only opposition to waste sorting but also concerns about institutional and operational barriers, highlighting the need for two-way policy communication that addresses citizens' feedback and implementation challenges.