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All Journal jurnal niara Jurnal bintang manajemen Riset Ilmu Manajemen Bisnis dan Akuntansi
Dwi Andre Vebriansyah
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Social Sciences

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Analysis of Marketing Strategy as a Business Competition Strategy in SMES: a Study on achieved.co Diki Egie Nugraha; Fadhilah Nur Oktaviani; Dwi Andre Vebriansyah; Sudarmiatin Sudarmiatin
Jurnal Bintang Manajemen Vol. 2 No. 4 (2024): Desember : Jurnal Bintang Manajemen (JUBIMA)
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jubima.v2i4.3411

Abstract

In the era of the global economy and increasingly intense competition in Industry 4.0, Micro, Small, and Medium Enterprises (MSMEs) are required to continuously innovate to remain competitive. This study highlights the application of segmentation, targeting, and positioning (STP) strategies and the use of the marketing mix by Achieved.co. The research used a descriptive qualitative approach, with interviews as the primary data collection method. The results of this study reveal that Co's success in maintaining its presence amid intense competition was achieved through the implementation of effective marketing strategies. The segmentation process was based on geographical, demographic, and psychographic factors, primarily focusing on the Gen-Z demographic. Targeting was directed at consumers who value uniqueness and product innovation at affordable prices. Achieved. Co's positioning is strengthened through unique services such as customizable orders and offering specialized design services, although it does not yet have a specific slogan. This study underscores the importance of in-depth market analysis to enhance the competitiveness of MSMEs, particularly through the implementation of well-planned STP strategies and a structured marketing mix.
Sentiment Analysis of KAI Access App Customer Reviews to Improve Customer Service Using Natural Language Processing Dwi Andre Vebriansyah; Niluh Komang Kusuma Yasari; Daris Itsar Samudra; Titis Shinta Dhewi
Jurnal Rimba Riset Ilmu manajemen Bisnis dan Akuntansi Vol. 3 No. 2 (2025): Mei : Riset Ilmu Manajemen Bisnis dan Akuntansi
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/rimba.v3i2.1751

Abstract

This research analyzes user sentiment reviews of the KAI Access application from Google Play Store to improve customer service at PT Kereta Api Indonesia. The study uses a Natural Language Processing (NLP) approach with the Latent Dirichlet Allocation (LDA) algorithm to extract main topics from 10,000 reviews collected from April 2024 to April 2025. Analysis results show 40.7% positive sentiment reviews and 49.3% negative. After data preprocessing through case folding, normalization, tokenization, stopword removal, and stemming, seven optimum topics were found from negative sentiment with a coherence score of 0.508343 and two optimum topics from positive sentiment with a coherence score of 0.511673. Analysis based on five service quality dimensions (tangibles, reliability, responsiveness, assurance, and empathy) reveals that the reliability dimension becomes the main issue, including system instability, transaction failures, login difficulties, and data inaccuracy. The responsiveness dimension is the second priority, with users expecting fast and responsive service to complaints. The results of this study provide recommendations for PT KAI to prioritize improvements in system reliability and responsiveness aspects to enhance the overall user experience, which will ultimately impact customer satisfaction and loyalty.
A Systematic Literature Review: Analyzing Service Quality Through User Reviews Using Machine Learning Approaches Dwi Andre Vebriansyah; Budi Eko Soetjipto; Ludi Wisnuwardhana
Jurnal Rimba Riset Ilmu manajemen Bisnis dan Akuntansi Vol. 3 No. 2 (2025): Mei : Riset Ilmu Manajemen Bisnis dan Akuntansi
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/rimba.v3i2.1770

Abstract

This research conducted a systematic literature review of studies related to analyzing service quality based on user reviews with a machine learning approach. A total of 15 international and national journals were analyzed to identify challenges, methods, and trends in research in this aspect. The review results show that Natural Language Processing (NLP) and Sentiment Analysis techniques are the dominant approaches, with machine learning models such as Deep Learning, Naive Bayes, and Support Vector Machine (SVM) being commonly used. The review also identifies research gaps and provides recommendations for future research directions.
Manajemen Sumber Daya Manusia di Era Digital: Sebuah Tinjauan Literatur Sistematis terhadap Fokus Studi Daris Itsar Samudra; Dwi Andre Vebriansyah; Agung Winarno
Jurnal Niara Vol. 18 No. 2 (2025): September
Publisher : FAKULTAS ILMU ADMINISTRASI UNIVERSITAS LANCANG KUNING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/14k37p28

Abstract

Manajemen Sumber Daya Manusia (MSDM) di era digital merupakan komponen vital dalam kesuksesan organisasi modern. Penelitian ini bertujuan untuk melakukan tinjauan literatur sistematis mengenai praktik MSDM yang berkembang seiring dengan transformasi digital dan globalisasi. Dengan menggunakan metode PRISMA, penelitian ini mengidentifikasi dan mengelompokkan 42 literatur yang relevan dalam empat fokus studi utama: Administrasi Sumber Daya Manusia, Employer Branding, Pengembangan Manajemen Sumber Daya Manusia, dan Rekrutmen serta Seleksi Administrasi SDM. Hasil penelitian menunjukkan bahwa teknologi, termasuk kecerdasan buatan dan analitik data, telah mengubah cara SDM dikelola, meningkatkan efisiensi dan efektivitas dalam proses rekrutmen, manajemen kinerja, dan pengembangan karyawan. Selain itu, perhatian terhadap kesejahteraan karyawan dan keberagaman menjadi semakin penting dalam kebijakan MSDM. Penelitian ini juga mengungkapkan kesenjangan pengetahuan yang ada dalam literatur dan merekomendasikan perlunya penelitian lebih lanjut untuk mengembangkan praktik MSDM yang lebih responsif terhadap perubahan kebutuhan organisasi dan harapan tenaga kerja. Dengan demikian, pengembangan manajemen SDM yang adaptif dan inovatif sangat penting untuk mencapai keberhasilan organisasi di era digital saat ini.
Co-Authors Budi Eko Soetjipto Daris Itsar Samudra Diki Egie Nugraha Fadhilah Nur Oktaviani Ludi Wisnuwardhana Niluh Komang Kusuma Yasari Sudarmiatin Titis Shinta Dhewi, Titis