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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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Alat Pemilah Sampah Otomatis Kategori Logam, Plastik dan Kertas Menggunakan Arduino Uno Aldi, Aldi; Warohma, Ayu Mawadda
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.v5i2.15424

Abstract

The issue of waste remains a challenge due to the suboptimal sorting of waste at source, which results in the sorting process still being largely manual and inefficient. This study aims to design and implement an automatic waste sorting device capable of classifying metal, plastic, and paper waste using an Arduino Uno microcontroller. This system integrates an infrared sensor to detect the presence of waste, a capacitive proximity sensor as an initial detector, and an inductive proximity sensor for selective identification of metal waste. A servo motor is used to direct waste to the appropriate compartment, while an ultrasonic sensor monitors the capacity of the waste bin. Testing was conducted using 30 waste samples, with the system achieving an accuracy rate of 90%. These results indicate that the device operates reliably and effectively in performing automatic waste sorting.
Implementasi AI Pada Sistem Enterprise Resource Planning: Systematic Literature Review Irmansyah, Dimas; Hadiwiyanti, Rizka; Fitri, Anindo Saka; Imamuddin, Ashari
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.v5i2.15425

Abstract

The development of AI presents significant opportunities for ERP systems. While the opportunities presented by AI development are significant, organizations need to validate their implementation before implementing AI into their ERP systems. This study aims to determine how AI in ERP can improve business performance, the challenges and solutions in AI implementation, and the impact of AI implementation in ERP through a systematic literature review. The results demonstrate time, cost, and resource efficiencies through AI implementation in ERP. However, AI implementation presents challenges such as the quality and quantity of data required, architectural complexity, organizational readiness, and the model chosen for ERP implementation.
Digitalisasi Proses Analisis PEARLS Pada Koperasi Kredit (Studi Kasus: Puskopdit Handriya Sanggraha) Saputera, Matius Stephen; Pibriana, Desi
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.v5i2.15426

Abstract

Puskopdit Handriya Sanggraha is a secondary cooperative tasked with monitoring the financial health of its member credit unions. Currently, the financial health assessment process using the PEARLS method (Protection, Effective Financial Structure, Asset Quality, Rates of Return and Costs, Liquidity, Signs of Growth) is conducted manually using separate spreadsheets. This process often leads to reporting delays, data input errors, and difficulties in real-time monitoring. For this reason, a web-based information system was built to automate PEARLS analysis so that it can centrally integrate the input of balance sheets, monthly data, and economic parameters. The development method used is Waterfall. The result of this research is a system that automates the calculation of 18 PEARLS indicators and presents financial health analysis results in real-time. The implementation of this system can increase reporting efficiency, calculation accuracy, and assist management in making strategic decisions based on valid cooperative health data.
Implementasi IoT Pada Sistem Palang Pintu RFID Otomatis Berbasis ESP32 Dengan Integrasi Database Cloud Google Sheets Maharani, Desmi; Januardandi Dharmawan, Muhammad Iqrom; Arrahman, Taufik; Priyansah, Agus; Wijaya, Febbio Titian; -, Hibramsyah; Amelia, Azwa Sasta; Rahman, Abdul
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.v5i2.15427

Abstract

This study aims to design and implement an automatic parking gate system based on the Internet of Things (IoT), which enables real-time access control and data logging. The proposed system integrates Radio Frequency Identification (RFID) for vehicle authentication, an ESP32 microcontroller as the main controller, and a cloud-based spreadsheet database for data storage. The research method uses a quantitative experimental approach through hardware and software implementation followed by functional testing. The system was evaluated by testing registered and unregistered RFID cards, gate opening and closing duration, vehicle detection, and real time data recording. Experimental results show that the system achieves 100% accuracy in access validation, where registered cards successfully open the gate, while unregistered cards are rejected and indicated by an audible alert. All access data are recorded reliably in real time. The results indicate that the proposed system is responsive, secure, and suitable for small- to medium-scale parking access management.
Systematic Literature Review: Tren Gamifikasi dalam Mobile-Assisted Language Learning Naufal, Muhammad Rakha; Pratama, Arista; Wulansari, Anita
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.v5i2.15428

Abstract

This study investigates the impact of gamification trends in Mobile-Assisted Language Learning (MALL) through a Systematic Literature Review (SLR). The study aims to identify dominant gamification elements and examine their contribution to language learning effectiveness. The review was conducted using the PRISMA protocol, supported by clear inclusion–exclusion criteria and quality assessment to ensure methodological rigor. Fifteen journal articles published between 2022 and 2026 were analyzed. The findings indicate that points/XP, feedback, and leaderboards are the most frequently applied gamification elements in MALL. Overall, gamification demonstrates a positive impact on language learning by enhancing learners’ motivation, engagement, learning consistency, and vocabulary retention. These results confirm that gamification serves as an effective pedagogical strategy in supporting mobile-based language learning when implemented with appropriate instructional design.
Systematic Literature Review: Penerimaan Pengguna Terhadap Aplikasi Fintech Berdasarkan Model UTAUT2 Irsyadhie, Muhammad Rafi; Pratama, Arista; Mukaromah, Siti
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.v5i2.15433

Abstract

The rapid development of fintech has increased the importance of understanding user acceptance of fintech applications. This study aims to analyze user acceptance of fintech applications using a Systematic Literature Review approach. The review focuses on the application of the UTAUT2 model as a framework for explaining technology acceptance and factors influencing the adoption of fintech applications. This study examines scientific articles published between 2020 and 2025 that are relevant to the topic of fintech user acceptance. The findings indicate that UTAUT2 variables such as performance expectancy, effort expectancy, and facilitating conditions are frequently used to explain user acceptance. In addition, several studies incorporate external variables to address fintech characteristics, such as trust and perceived risk. This study also provides a comprehensive overview of significant variables and research trends related to fintech applications.
Penerapan Metode Design Thinking dalam Perancangan UI/UX Aplikasi Pendakian Gunung Berbasis Mobile di Jawa Timur Putra, Rio Alghaniy; Najaf, Abdul Rezha Efrat; Mukhlis, Iqbal Ramadhani
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.v5i2.15434

Abstract

The increasing interest of the people of East Java in mountain hiking activities has created a need for digital solutions that can integrate information, preparation, and hiking safety. This study aims to design the user interface and user experience of a mobile-based mountain hiking application called Mountzy using the Design Thinking method. The stages applied include empathize, define, ideate, prototype, and test, with a focus on the needs of hikers in East Java. The design results are realized in the form of information architecture, wireframes, and high-fidelity prototypes that include key features such as Pantau Langit, Hiking Planning, Sewa Aja (equipment rental), and Community Forum. Usability testing was conducted using Maze and the System Usability Scale (SUS). The results show a Maze score of 83 and an average SUS score of 83.20, which fall into the excellent and acceptable categories. These results indicate that the Mountzy application has good usability and is feasible for further development.
Systematic Literature Review : Tren Penerapan Elemen Gamifikasi dalam Platform E- Commerce Meirina, Filda Dwi; Pratama, Arista; Mukaromah, Siti
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.v5i2.15435

Abstract

The implementation of gamification elements on e-commerce platforms has continued to expand, however comprehensive mapping of dominant elements, implementation trends, and user impacts remains limited. Therefore, this study aims to identify the most frequently used gamification elements, analyze implementation trends, and examine their impacts on e-commerce users. This study employs a Systematic Literature Review of empirical articles published between 2021 and 2026, retrieved from Scopus, ScienceDirect, SpringerLink, Emerald Insight, and Google Scholar, resulting in 25 selected articles. The synthesis results indicate that points/coins and rewards are the most dominant elements, supported by leaderboards and challenges, while immersive elements remain relatively underutilized. Furthermore, customer engagement emerges as the most frequently examined outcome, while customer loyalty and repurchase intention are also reported as important outcomes in previous studies. These findings suggest that current e-commerce gamification primarily focuses on enhancing user engagement rather than developing sustainable user experiences.
Analisis Penggunaan Platform Digital sebagai Informasi Lokasi Destinasi Wisata: Tinjauan Literatur Sistematis Lestari, Cynthia Widya; Pratama, Arista; Faroqi, Asif
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.v5i2.15439

Abstract

Digital platforms have become a primary source of location-based information for tourism destinations and play a significant role in shaping tourists’ decision-making processes. This study aims to identify research trends, types of digital platforms, theoretical models, and key variables influencing the use of destination location information through a Systematic Literature Review (SLR). The literature search was conducted using Scopus, ScienceDirect, Sinta, and Google Scholar, covering articles published between 2021 and 2025, with 20 studies meeting the inclusion and quality assessment criteria. The findings indicate that social media and travel applications are the most dominant digital platforms used. Theoretical model frequently applied include UTAUT2, TAM, TPB, and hybrid models, with UTAUT2 emerging as the most comprehensive framework for explaining user behavior. Significant influencing variables include performance expectancy, effort expectancy, social influence, hedonic motivation, habit, facilitating conditions, and perceived trust, while price value tends to have a limited effect. This study systematically maps theoretical models, variables, and empirical findings related to the use of destination location information on digital platforms, providing a structured conceptual foundation for future research on tourist behavior.
Pengaruh Good Corporate Governance dan Ukuran Perusahaan terhadap Nilai Perusahaan Perbankan yang Terdaftar di BEI Tahun 2021-2024 Aguilera, Flora; Keristin, Usnia Wati
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.v5i2.15440

Abstract

This study aims to examine and analyze the influence of Good Corporate Governance and Company Size on firm value. The study employed a qualitative approach using secondary data sourced from companies' annual financial reports. The research subjects included the financial reports of banking companies listed on the Indonesia Stock Exchange for the 2021-2024 period. The sample was selected using a purposive sampling technique, resulting in 37 research samples. Data analysis was conducted using descriptive analysis, multiple linear regression, classical assumption tests, t-tests, F-tests, and coefficients of determination. The research findings indicate that Good Corporate Governance has no effect on firm value, while firm size has been shown to influence firm value. However, both Good Corporate Governance and firm size simultaneously influence firm value.

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