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All Journal SENTRALISASI Jurnal Pengabdian kepada Masyarakat Nusantara Journal of Innovative and Creativity Big Data Analytics and Data Science
Widyadhana Candraningtias
Universitas Dinamika Bangsa
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Analisis Motivasi, Faktor Sosial, Impulse Buying, Kepercayaan Merek, dan Word of Mouth: Studi Fenomenologis pada Seminar Manajemen Pemasaran Widyadhana Candraningtias; Krismonika Hidayat; Anjastanara Pasae
Journal of Innovative and Creativity Vol. 6 No. 1 (2026)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v6i1.5888

Abstract

This study explores the underlying meanings of students’ experiences related to motivation, social factors, brand trust and image, and word of mouth in shaping impulse buying behavior in the digital era. Unlike most previous research employing quantitative methods, this study adopts a qualitative phenomenological approach supported by a Likert-scale perception instrument to elicit experiential narratives. The participants consisted of students enrolled in the Marketing Management Seminar course. Data were collected through Likert-scale questionnaires, short open-ended interviews, and field observations. Descriptive results show that motivation (mean = 4.25), brand trust and image (mean = 4.17), and word of mouth (mean = 4.01) fall into the high category, while social factors (mean = 3.73) and impulse buying (mean = 3.74) are moderately high. The qualitative findings highlight motivation as the primary driver of spontaneous purchasing, influenced by emotional needs, trends, and digital promotional stimuli. Word of mouth acts as an informational catalyst that accelerates decision-making, whereas social factors and brand trust provide psychological assurance in impulsive purchases. Overall, this study deepens understanding of student consumption dynamics and contributes to consumer behavior research within higher education contexts.  
Development of an Early Warning System for Predicting Drug Shortages Using a Random Forest Algorithm on Hospital Pharmacy Logistics Data Ahmad Asyhadi Asyhadi; Widyadhana Candraningtias
Big Data Analytics and Data Science Vol. 1 No. 2 (2026): June: Big Data Analytics and Data Science
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/bdas.v1i2.390

Abstract

Stock shortages are a significant issue in inventory management that can disrupt operations and pose a risk of loss. Therefore, an early warning system capable of detecting potential risks at an earlier stage is necessary. This study aims to develop a machine learning-based prediction model to detect risk conditions using the Random Forest algorithm and compare it with several other classification models. To address the issue of data imbalance, the Synthetic Minority Oversampling Technique (SMOTE) was applied to the training data. Additionally, feature engineering was performed by creating a usage ratio variable as an indicator of the relationship between inventory and usage. The dataset consists of 882 data points with an imbalanced class distribution, where the risk class is more dominant than the normal class. Model evaluation was performed using the F2-score metric, which places greater emphasis on recall, given the importance of minimizing false negatives in early warning systems. Furthermore, model performance was also analyzed using ROC curves and Precision-Recall Curves to measure the model’s discriminatory ability more comprehensively. A high AUC value indicates that the model is effective at distinguishing between the normal and risk classes, particularly under imbalanced data conditions. To improve risk detection sensitivity, a threshold tuning approach was employed by adjusting the probability decision threshold based on F2-score optimization. This approach aims to increase the recall value so that all at-risk cases can be detected to the greatest extent possible, albeit with a potential increase in false positives. The research results show that the developed model is capable of achieving very high performance, with an optimal F2-score and no classification errors found in the test data. Feature importance analysis indicates that the stock, usage, and usage ratio variables are dominant factors in determining risk conditions. Nevertheless, these very high results need to be analyzed critically due to the interdependence between features and the target label formation process. Overall, this study contributes to the development of a machine learning-based early warning system that focuses not only on accuracy but also on comprehensive risk detection capabilities. The proposed approach can be used as a decision support system for more proactive inventory management.
The Role of Trust, Information Richness, and Enjoyment in Shaping Consumer Acceptance of TikTok Live Shopping: Evidence from Jambi City Irfan Hassandi; Widyadhana Candraningtias; Anjastanara Pasae; Reynhard Laurent Yunata
SENTRALISASI Vol. 15 No. 3 (2026): September
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/sl.v15i3.5952

Abstract

This study examines how Perceived Trust, Information Richness, and Perceived Enjoyment influence Behavioral Intention to use TikTok Live Shopping through Perceived Usefulness and Perceived Ease of Use within an extended Technology Acceptance Model. Data were collected from TikTok Live Shopping users in Jambi City who met the study eligibility criteria and were analyzed using Partial Least Squares Structural Equation Modeling. The findings support all proposed relationships. Perceived Trust, Information Richness, and Perceived Enjoyment positively influence both Perceived Usefulness and Perceived Ease of Use. Among these antecedents, Perceived Enjoyment demonstrates the strongest contribution to both acceptance beliefs, indicating that an engaging and enjoyable live-shopping experience plays an important role in how users evaluate the usefulness and ease of the platform. Behavioral Intention is positively influenced by both Perceived Usefulness and Perceived Ease of Use, with Perceived Usefulness showing the comparatively stronger relationship. These findings indicate that the acceptance of TikTok Live Shopping among users in Jambi City is shaped by the combined roles of trust, information quality, enjoyment, perceived utility, and ease of interaction. The study extends the Technology Acceptance Model by integrating transactional, informational, and hedonic factors within a single framework for explaining live-commerce acceptance. Practically, the findings suggest that credible communication, informative product presentation, and engaging live interactions may strengthen users’ acceptance of TikTok Live Shopping.
Penguatan Literasi Keuangan dan Keamanan Dompet Digital Di Era Cashless Ayu Feranika; Muhammad Wardani; Rista Adilla Syafri; Laura Prasasti; Lies Aryani; Suyanti Suyanti; Joni Devitra; Widyadhana Candraningtias; Melati Permata Sari; Adinda Aulia Wahyudi
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 7 No. 2 (2026): Edisi Mei - Agustus
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v7i2.8413

Abstract

Perkembangan teknologi keuangan digital telah mendorong tingginya penggunaan dompet digital dan transaksi non-tunai di kalangan pelajar MAN 1 Muaro Jambi. Namun, kondisi ini tidak diimbangi dengan literasi keuangan digital dan pemahaman keamanan transaksi yang memadai, sehingga siswa rentan terhadap penipuan digital, penyalahgunaan data, dan kesalahan transaksi; bahkan sebagian siswa mengaku pernah mengalami penipuan. Sebagai solusi, kegiatan Pengabdian Kepada Masyarakat (PKM) ini menawarkan penguatan literasi keuangan digital melalui metode ceramah interaktif, praktik penggunaan dompet digital dan QRIS, diskusi, serta kuis edukatif berhadiah. Kegiatan dilaksanakan pada 15 Desember 2025 dengan melibatkan 30 siswa kelas X dan XI. Hasil evaluasi menunjukkan adanya peningkatan pemahaman peserta terhadap literasi dan keamanan transaksi digital, ditandai dengan kenaikan rata-rata skor pengetahuan sebesar ±30% antara survei pra dan pasca kegiatan. Dampak konkret kegiatan ini adalah meningkatnya kesadaran siswa dalam bertransaksi secara aman, kritis, dan bertanggung jawab di era cashless society.
Co-Authors Adinda Aulia Wahyudi Ahmad Asyhadi Asyhadi Anjastanara Pasae Feranika, Ayu Irfan Hassandi Joni Devitra Krismonika Hidayat Laura Prasasti Lies Aryani Melati Permata Sari Muhammad Wardani Reynhard Laurent Yunata Rista Adilla Syafri Suyanti Suyanti