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MDP Student Conference
Published by Universitas Multi Data Palembang
ISSN : -     EISSN : -     DOI : https://doi.org/10.35957/mdp-sc.v2i1.3997
Core Subject : Economy, Science, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering
MDP Student Conference is a one-year national conference organized by the Universitas Multi Data Palembang. We are inviting teachers, lecturers, researchers, scholars, students, and or other key stakeholders to present and discuss their latest findings, innovations, and best practices as well as fresh ideas on, but not limited to, the listed sub-themes.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 689 Documents
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Strategi Impulse Buying Pada E-Commerce TikTok Shop di Kota Palembang Putri, Zalikha Adelia; Widagdo, Herry
MDP Student Conference Vol 5 No 1 (2026): The 5th MDP Student Conference 2026
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v5i1.15510

Abstract

This study aims to analyze the influence of Sales Promotion, Live Streaming, Shopping Lifestyle, Hedonic Shopping Motivation on Impulse Buying in e-commerce TikTok Shop in Palembang City. This study uses a quantitative approach with a survey method through the distribution of questionnaires to respondents spread across 18 sub-districts in Palembang City, with a total of 230 respondents. The sampling technique used is probability sampling with the cluster sampling method. The research data was analyzed using multiple linear analysis with the help of SPSS software version 26. The results of the study show that partially or simultaneously, the four independent variables have a positive and significant effect on variable dependent impulse buying. Thus, the increase in consumers' implied purchases on TikTok Shop can be driven through effective promotional strategies, optimization of live streaming activities, understanding of consumers' shopping lifestyles, and the creation of shopping experiences that provide pleasure and emotional satisfaction.
Determinasi Minat Beli Konsumen Terhadap Skincare Skintific di TikTok Shop Palembang Valentine, Gracia Natasya; -, Kardinal
MDP Student Conference Vol 5 No 1 (2026): The 5th MDP Student Conference 2026
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v5i1.15512

Abstract

This study aims to analyze the influence of Brand Ambassador, Product Quality, E-WOM, and Brand Image on Buying Interest in Skintific Skincare Products at E-Commerce TikTok Shop in Palembang City. The study used a quantitative approach with a survey method through the distribution of questionnaires to 221 respondents who were selected using the Probability Sampling technique with the cluster random sampling method in 18 sub-districts. Data were analyzed using multiple linear regression with the help of SPSS version 26. The results of the study show that partially and simultaneously, all independent variables have a positive and significant effect on buying interest. In conclusion, increasing consumer buying interest can be achieved through the selection of credible Brand Ambassadors. Consistent Product Quality, Positive E-WOM, and Good Brand Image.
Digital Financial Literacy, Behavioral Intention, and Financial Inclusion Budiman, Johny; Candy, Candy; Andita, Amelia; Ati, Errina; Putri, Dhamma Vicaya; Larventy, Larventy; Tu, Michelle Nataline
MDP Student Conference Vol 5 No 1 (2026): The 5th MDP Student Conference 2026
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v5i1.15537

Abstract

This study examines the effects of Digital Financial Literacy (DFL) and Mobile Perceived Financial Cost (MPFC) on Digital Financial Inclusion (DFI), with Behavioral Intention (BI) and Use behavior (UB) as mediating variables. Using a quantitative approach, data were collected from 203 mobile fintech users in Batam City and analyzed with PLS-SEM. The results show that DFL has a positive and significant effect on BI, which subsequently influences UB and enhances DFI. BI and UB act as mediating variables, while MPFC has no significant effect on fintech usage. These findings emphasize the importance of digital financial literacy in promoting digital financial inclusion.
Fintech Adoption Behavior Among University Students Budiman, Johny; Candy, Candy; Febrianti, Della; Rahmadani, Herisna; Syahputri, Dinda Rafika; Liu, Anastassia Joan
MDP Student Conference Vol 5 No 1 (2026): The 5th MDP Student Conference 2026
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v5i1.15541

Abstract

This study aims to analyze the effects of perceived usefulness, government support, and digital financial literacy on behavioral intention and use behavior in the use of Financial Technology (FinTech) services among university students. Data were collected through a questionnaire from 214 student respondents and analyzed using the PLS-SEM method. The results indicate that perceived usefulness and digital financial literacy have a positive and significant effect on behavioral intention and use behavior, while government support has no significant effect, either directly or indirectly. Furthermore, behavioral intention is proven to mediate the effects of perceived usefulness and digital financial literacy on use behavior, but it does not mediate the effect of government support. These findings suggest that perceived usefulness and digital financial literacy are the main factors driving students’ use of FinTech services.
Pengembangan Ekowisata Berkelanjutan Taman Rusa Sekupang Berbasis Media Tiktok Khoirunnisa, Rafa; Hariyanto, Oda I.B.; Anggraini, Ratih
MDP Student Conference Vol 5 No 1 (2026): The 5th MDP Student Conference 2026
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v5i1.15576

Abstract

This study aims to analyze the development of sustainable ecotourism in Sekupang Deer Park based on TikTok media, with a focus on promotional strategies, visual content quality, and consistency of educational messages on conservation. The study uses a qualitative approach with a case study method. Data were obtained through in-depth interviews with managers and TikTok administrators, field observations, and digital content analysis, then analyzed descriptively using Miles and Huberman's interactive model. The results show that TikTok has been used as a promotional medium, but it has not been optimized and managed strategically. The visual content is attractive, but it emphasizes entertainment and visit promotion rather than educational messages about conservation. Messages about environmental preservation, deer conservation, and sustainable ecotourism principles are inconsistent, so that a strong sustainable ecotourism identity has not yet been established. A planned and integrated content strategy between promotion, education, and sustainability needs to be implemented in order to achieve ecotourism goals.
Pengaruh Kualitas Produk Terhadap Citra Merek Pada Apotek Maggha Mulia 2 di Kota Palembang Tumbilung, Jennifer Queensly Tumbilung Queensly; Lestari, Retno Budi
MDP Student Conference Vol 5 No 1 (2026): The 5th MDP Student Conference 2026
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v5i1.15595

Abstract

This study aims to analyze the effect of product quality on brand image at Maggha Mulia 2 Pharmacy in Palembang City. The study used a quantitative approach by distributing questionnaires to 170 respondents who had purchased drugs at the pharmacy. The sampling technique used non-probability sampling with a purposive sampling approach. The research instrument used a Likert scale and the data were processed with SPSS version 26. The results of a simple linear regression analysis showed that product quality had a positive and significant effect on brand image. The better the product quality provided, the more positive the pharmacy's brand image in the eyes of customers. This study proves the importance of maintaining product quality to strengthen the brand image at Maggha Mulia 2 Pharmacy.
Klasifikasi Multikelas Varietas Kacang Kering Menggunakan Metode Hybrid SVM Berbasis DAG Nababan, Dinda; Nadeak, Christyan Tamaro; Rassiyanti, Linda; Farid, Fajri
MDP Student Conference Vol 5 No 2 (2026): The 5th MDP Student Conference 2026
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v5i2.14094

Abstract

This study analyzes the performance of three conventional SVM strategies, namely One-vs-One (OvO), One-vs-Rest (OvR), and Directed Acyclic Graph OvO (DAG-OvO), compared with the hybrid approach Directed Acyclic Graph Rest-vs-Rest (DAG-RvR) in the context of multiclass classification using the Dry Bean Dataset. All models are evaluated based on accuracy and macro metrics to measure the consistency of predictions between classes. The results show that both conventional and hybrid methods achieve the same high level of accuracy, namely 0.92, with Precision, Recall, and F1-score Macro values ​​that were also identical between approaches. The main difference between the approaches lies in computational efficiency. OvO and DAG-OvO show the fastest training time, while DAG-RvR is the most efficient method in the inference stage. These findings confirm that the hybrid DAG-RvR structure can accelerate the prediction process without compromising accuracy, making it worthy of consideration for applications that require fast inference.
Klasifikasi Multikelas Support Vector Machine dengan Hibrida Directed Acyclic Graph One Vs One dan Rest Vs Rest pada Klasifikasi Tingkat Obesitas Naufal, Daffa Ahmad; Nadeak, Christyan Tamaro; Rassiyanti, Linda; Farid, Fajri
MDP Student Conference Vol 5 No 2 (2026): The 5th MDP Student Conference 2026
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v5i2.14097

Abstract

This research is focused on analyzing how well different multiclass Support Vector Machine (SVM) classification methods can predict obesity levels. It also presents a new hybrid Directed Acyclic Graph Rest-vs-Rest (DAG-RvR) method as a better option. The study utilizes a dataset called the Obesity Risk Prediction Cleaned, which has information on seven different obesity categories. The methods being assessed include One-vs-One (OvO), One-vs-Rest (OvR), DAG-One-vs-One (DAG-OvO), and the new DAG-RvR method. For fine-tuning the parameters, GridSearchCV and the RBF kernel were used. The findings reveal that DAG-RvR achieves an accuracy of 0.91, which is similar to OvO and DAG-OvO, but it trains much quicker, taking just 0.3422 seconds. Even though its precision, recall, and F1-score are a bit lower than the pairwise methods, DAG-RvR still maintains reliable multiclass performance. In summary, this method strikes a good balance between achieving high accuracy and being efficient in computations.
Klasifikasi Varietas Beras Menggunakan Hybrid SVM Berbasis DAG–OVO dan RVR Leander, Marleta Cornelia; Nadeak, Christyan Tamaro; Rassiyanti, Linda; Farid, Fajri
MDP Student Conference Vol 5 No 2 (2026): The 5th MDP Student Conference 2026
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v5i2.14108

Abstract

This research proposes a hybrid Support Vector Machine (SVM) strategy for multiclass rice variety classification by combining Directed Acyclic Graph Rest-vs-Rest (DAG-RvR) with K-Means clustering. Five rice varieties were analyzed using 16 morphological and texture features extracted from the Rice Image Dataset. Three conventional SVM methods—One-vs-One (OvO), One-vs-Rest (OvR), and DAG-OvO—were evaluated as baselines. Two hybrid schemes were then developed: DAG-RvR K-Means–OvO and DAG-RvR K-Means–K-Means. Experimental results show that all methods achieve high accuracy of approximately 99%, indicating strong feature separability among rice varieties. However, the proposed DAG-RvR K-Means–OvO provides the most efficient performance, achieving the fastest training time while maintaining competitive testing speed and the highest accuracy of 0.99040. The findings demonstrate that integrating K-Means–based class partitioning with pairwise SVM classification improves computational efficiency without reducing predictive performance, making the hybrid approach suitable for fast and accurate multiclass classification tasks.
Perancangan Website Tiket Online Bird Park Palembang Menggunakan Design Thinking Angel, Stevany; Sean, Obert; Engelica, Noviana; Hafildah, Nora
MDP Student Conference Vol 5 No 2 (2026): The 5th MDP Student Conference 2026
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v5i2.14263

Abstract

This research aims to design the official website of Palembang Bird Park as an information medium and online ticket booking platform. Palembang Bird Park, located in the Jakabaring area, has significant tourism potential with a collection of over 1,000 birds from various species. However, the conventional information and ticket booking system has become an obstacle in tourism development. This research applies the Design Thinking method, which includes the stages of Empathize, Define, Ideate, Prototype, and Test, to produce a user-centered design. The result is a website prototype with features including destination information, gallery, ticket prices, online ticket booking, and integrated payment system. Testing using the Black Box Testing method shows that all features function properly, with a success rate of 100%.

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