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All Journal IJEBD (International Journal Of Entrepreneurship And Business Development) Jurnal Bisnis dan Kewirausahaan Malcom: Indonesian Journal of Machine Learning and Computer Science
Rahma Dafitri
Unknown Affiliation
Computer Science & IT Economics, Econometrics & Finance

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Design Thinking Model in Clever Think Application Design Rahma Dafitri; Iwan Sukoco
IJEBD (International Journal of Entrepreneurship and Business Development) Vol 5 No 5 (2022): September 2022
Publisher : LPPM of NAROTAMA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29138/ijebd.v5i5.1976

Abstract

Purpose: Clever Think is one of the alternatives in the learning model. This study aims to examine the technique of designing clever think applications quickly, easily, and cheaply according to user needs.. the model can significantly reduce the weaknesses in making Clever Think applications. Design/methodology/approach: This research is a qualitative research because it describes the implementation stages of the Clever. In this research, the software that will be studied will use the System Design Model method that can engineer smartphone-based software easily and quickly Findings: The results of this study also show that this model can formulate ideas successfully and creatively to build learning applications. Research limitations/implications: This research is limited to learning applications only Practical implications: This research can be applied by lecturers, teachers as a learning solution for students during the pandemic Originality/value: This Paper is Original Paper type: Research paper
Social Media Marketing Research Rahma Dafitri; Arianis Chan; Ratih Purbasari
IJEBD (International Journal of Entrepreneurship and Business Development) Vol 6 No 2 (2023): March 2023
Publisher : LPPM of NAROTAMA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29138/ijebd.v6i2.2188

Abstract

Purpose: This study aims to determine the development of research on social media marketing articles and find out how VOSviewer visualization is based on keywords and author collaboration on Scopus indexed journal articles. Design/methodology/approach: a systematic mapping with quantitative descriptive method with social media marketing based on bibliometric analysis Findings: Based on the results of the VOSviewer visualization, 6 clusters and 42 keywords were found with 891 authors. Research on social media marketing written by authors from the United States is the most research published on Scopus. From the results of the VosViewers mapping, the keywords that often appear are social media marketing, Facebook and digital marketing Research limitations/implications: This study is limited to a single database, Scopus Originality/value: This article is original Paper type: a Research Paper
Sistem Hambatan Berlapis Digitalisasi UMKM Kuliner: Studi Kualitatif Berbasis Kerangka TOE Dafitri, Rahma; Daryani, Dian
Jurnal Bisnis dan Kewirausahaan Vol. 21 No. 3 (2025): JBK-Jurnal Bisnis dan Kewirausahaan
Publisher : Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/jbk.v21i3.153-164

Abstract

Digital transformation barriers in culinary micro, small, and medium enterprises (MSMEs) form a layered barrier system that mutually reinforces and hinders optimization. This qualitative exploratory study involving 10 culinary MSMEs in Bandung identifies five main dimensions of barriers with 42 sub-categories analyzed using NVIVO. Digital literacy emerges as the dominant barrier, followed by technical, financial, operational, and external barriers. The study reveals three new theoretical findings: digital financial literacy as an overlooked dimension, time constraints creating repetitive cycles, and optimization paradox showing the phenomenon of "digital presence without digital performance". Barrier distribution varies based on MSME characteristics. Education-digital capability paradox shows bachelor's degree owners face the highest barriers. Middle-income digital trap appears in MSMEs with monthly revenue of Rp 5-8 million experiencing maximum technical complexity. Early-stage digital struggle dominates new MSMEs, while maturity advantage provides adaptation benefits for established MSMEs. The findings validate the Technology-Organization-Environment framework and generate a layered barrier system theory requiring comprehensive intervention approaches to break the mutually reinforcing barrier cycle.
The Lexicon-Based Sentiment Analysis for Stock Price Prediction in Islamic Fashion Industry Sutisna, Entis; Dafitri, Rahma; Daryani, Dian
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 6 No. 2 (2026): MALCOM April 2026
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v6i2.2586

Abstract

This study develops a lexicon-based sentiment analysis method to examine the relationship between social media sentiment and stock price movements in Indonesia's Islamic fashion industry. We collected 6,087 social media comments from TikTok, Instagram, and Twitter over 396 days, alongside daily stock data from Elzatta (ZATA). Using an Indonesian fashion-specific lexicon with 42 positive and 38 negative indicators validated through inter-annotator agreement (Cohen's Kappa = 0.82), we employed ordinary least squares regression with heteroskedasticity-robust standard errors to test sentiment-return relationships. Results show no economically significant relationship between social media sentiment and stock returns (correlation = -0.06, p = 0.240), with models explaining only 2.09% of return variance. We identify three boundary conditions limiting sentiment-based prediction: (1) feature mismatch 82% of comments discuss product attributes rather than business fundamentals, (2) demographic disconnect social media users (78% female, aged 18-29) differ markedly from investors (68% male, aged 35-55), and (3) market microstructure constraints 43% zero-volume days and 2.3% bid-ask spreads impede price discovery. This study provides the first Indonesian fashion-specific sentiment lexicon and establishes actionable validation guidelines for practitioners: sentiment features must be verified for demographic alignment and market liquidity before deployment. For machine learning applications in emerging markets
Adoption Without Optimization: Text Mining and Business Intelligence Analysis on Culinary SME Digital Literacy Dafitri, Rahma; Daryani, Dian; Sutisna, Entis
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 6 No. 2 (2026): MALCOM April 2026
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v6i2.2622

Abstract

Digital transformation has become critical for culinary Micro, Small, and Medium Enterprises (MSME), yet most remain digitally underperforming despite platform adoption, a gap this study terms "adoption without optimization." This study employs a sequential exploratory mixed-methods design to examine underlying barriers. Phase 1 applied NVivo-assisted thematic coding and word frequency analysis to transcripts from 10 informants. Phase 2 administered a 78-item structured questionnaire measuring five TOE-derived barrier categories (financial, technical, human resource, regulatory, and market barriers) and digital platform usage frequency across six platform types to 39 respondents, analyzed using descriptive statistics, cross-tabulation, and Pearson correlation in SPSS. Phase 3 conducted VOSviewer keyword co-occurrence analysis of 87 Scopus documents. Results reveal financial barriers rank highest (M=3.46), followed by human resource (M=3.31) and market competition barriers (M=3.25). Digital literacy is predominantly low, with 48.7% scoring in the low category (mean=14.87/30). Thematic analysis identified three novel phenomena: digital financial literacy as a distinct barrier dimension, a recursive time-constraint cycle, and the adoption-without-optimization gap, confirmed by a 79.4-percentage-point difference between platform adoption (100%) and meaningful digital performance (20.6%). Digital literacy significantly correlates with sales improvement (r=0.432, p=0.006). A five-pillar digital adaptation framework is proposed for SME digitalization policy.
Co-Authors Arianis Chan Daryani, Dian Entis Sutisna Iwan Sukoco Ratih Purbasari, Ratih