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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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Perancangan dan Implementasi Sistem Monitoring Suhu Ruang Server Berbasis IoT Menggunakan ESP32 dan Sensor DHT22 Putra, Muhammad Reihan Daffa; Kusuma, Rizky Ade; Trisaptono, Raymondus; Widiyanto, Eka Puji
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.v5i2.15305

Abstract

This study aims to design and implement an Internet of Things (IoT)-based server room temperature monitoring system capable of real-time monitoring, critical temperature notification, and automatic historical data logging. An experimental method was employed by implementing a system using an ESP32 microcontroller, a DHT22 sensor, and IoT platforms including Blynk and Google Spreadsheet for data visualization and storage. System testing was conducted in a server room environment with an average sampling interval of approximately 8 minutes. The results show that the system successfully records and transmits temperature data with a data transmission success rate above 99%. The measured temperature ranged from 19.5 to 25 °C and did not exceed the predefined alarm threshold. These results indicate that the proposed system operates reliably and can effectively support continuous server room temperature monitoring.
Implementasi Metode SAW Pada Sistem Pendukung Keputusan Pemilihan Sales Terbaik ., Stephen; Mardiani, Mardiani
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.v5i2.15329

Abstract

The sales evaluation process at PT Inti Bharu Mas currently relies on manual monitoring and Microsoft Excel, leading to slow processing, calculation errors, and a lack of transparency. These inefficiencies hinder management from making timely, objective decisions regarding employee performance and rewards. This study develops a web-based Decision Support System (DSS) using the Simple Additive Weighting (SAW) method to streamline evaluations. The system incorporates five key criteria: total sales, ordering outlets, visit frequency, service quality, and attendance. Developed using the Laravel framework, MySQL, and the Rational Unified Process (RUP) methodology, the system automates the ranking process. Results demonstrate that the DSS produces accurate, consistent sales rankings while significantly enhancing efficiency and transparency. By digitizing the evaluation workflow, PT Inti Bharu Mas ensures more objective managerial decision-making and provides a reliable basis for employee recognition and rewards through a more structured and automated approach.
Pengembangan Sistem Informasi Penjualan Velg Mobil Berbasis Web dengan Kerangka Kerja Agile Scrum Teddy, Roger Skavinsky; Fransen, Lisa Amelia
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.v5i2.15339

Abstract

The rapid growth of information technology encourages small and medium enterprises to adopt digital systems to improve operational efficiency. PD VELGSECONDPLG is a business engaged in the sale of new and used car wheels, which previously relied on manual transaction records. This condition caused data inaccuracies, delayed reporting, and difficulties in inventory control. This study aims to develop a web-based sales information system that integrates product management, sales and purchase transactions, inventory control, payment processing, trade-in services, and reporting. The system was developed using the Agile Scrum methodology to ensure flexibility and continuous user feedback. The Laravel framework and MySQL database were used for system implementation. System testing was carried out using black box testing. The results show that all system functionalities operate according to user requirements. The proposed system improves data accuracy, operational efficiency, and service quality at PD VELGSECONDPLG.
Penentuan Customer Terbaik Menggunakan Metode SAW Pada CV ABC di Palembang Davlin, Yulianus Jonathan; Sihotang, Fransiska Prihatini
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.v5i2.15372

Abstract

This study aims to develop a web-based Decision Support System (DSS) to address the previously subjective evaluation of CV ABCs business partners. The scope of the study includes an assessment based on five criteria, consisting of benefits and costs. These five criteria include affiliation, turnover, payment precision, total returns, and subscription length. The system development method uses the Rational Unified Process (RUP) with the Laravel and MySQL frameworks, while decision calculations use the Simple Additive Weighting (SAW) method. Each of the five criteria has sub-criteria with varying ranges according to the company's policies and actual circumstances. Based on Black Box testing, the system functions well. It is concluded that this system helps management determine appropriate marketing strategies, such as providing discounts, to increase loyalty and business competitiveness.
Penerapan Data Mining Dengan Metode FP-Growth Untuk Menganalisis Pola Pembelian Konsumen Salim, Ignasius Felix; Mardiani, Mardiani
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

Abstract

CV. Sukses Inti Prima is a distribution company engaged in the consumer goods sector, including both food and non-food products, operating in the South Sumatra region. In order to enhance the efficiency of sales strategies and inventory management, the company requires an analytical system capable of identifying customer purchasing patterns based on available transaction data. This study aims to implement data mining techniques using the FP-Growth algorithm to discover associations between products that are frequently purchased together. By leveraging the FP-Growth algorithm, the research is expected to successfully reveal purchasing patterns that can serve as a basis for developing marketing strategies, such as product bundling recommendations and more strategic product placement. These findings will also play a vital role in minimizing the risk of overstock or stockouts, while providing a data-driven foundation for business decision-making to increase product sales and customer satisfaction.
Pola Pembelian Produk Bangunan Menggunakan Algoritma FP-GROWTH pada PT Dharmaputra Jaya Bersama Yeremia, Deryl Andeya; Mardiani, Mardiani
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.v5i2.15380

Abstract

PT Dharmaputra Jaya Bersama is a company engaged in the sale of building materials such as nails, cement, sand, and ceramics, located in Palembang, South Sumatra. To improve the efficiency of sales strategies an inventory management, the company requires an analytical system capable of identifying customer purchasing patterns based on transaction data. This analysis applies data mining techniques using the FP-Growth algorithm to discover associations between products thatare frequently purchased together. The results can support decision-making in inventory control and sales strategies. By utilizing this approach, the company is expected to enhance operational efficiency, minimize overstocking or stockouts, and design more accurate promotional efforts based on customer purchasing behavior.
Adopsi Artificial Intelligence pada UMKM: Tinjauan Sistematis Pratama, Rizky Arya; Sudrajat, Antonius Wahyu
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.v5i2.15392

Abstract

This study examines research trends, adoption determinants, and the impact of Artificial Intelligence (AI) on Micro, Small, and Medium Enterprises (MSMEs) through a Systematic Literature Review (SLR). The review was conducted using the Kitchenham and Charters methodology and the PRISMA 2020 protocol to ensure methodological rigor and transparency. A total of 30 peer-reviewed journal articles published between 2020 and 2025 were selected from reputable international and national databases. The results indicate that the Technology–Organization–Environment (TOE) framework is the most dominant theoretical model used to explain AI adoption in MSMEs. Technological characteristics, organizational readiness, and environmental pressure are consistently identified as key determinants influencing adoption decisions. Furthermore, empirical evidence shows that AI adoption positively affects marketing performance, operational efficiency, innovation capability, and financial performance of MSMEs. Despite these benefits, empirical studies focusing on Indonesian MSMEs at the local level remain limited. Therefore, this study proposes a conceptual TOE–AI Adoption–MSME Performance model as a foundation for future empirical research.
Implementasi Logika Fuzzy Mamdani pada Line Follower Robot dengan Fitur Obstacle Avoidance Pontoh, Abraham Lincoln; Firizki, Muh.; 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.v5i2.15396

Abstract

This study presents the design and implementation of a Line Follower Robot equipped with an Obstacle Avoidance feature based on Mamdani Fuzzy Logic. The robot is designed to autonomously follow a predefined line while adapting its movement to avoid obstacles encountered along the path. Infrared sensors are used to detect the line position, while an ultrasonic sensor is utilized to measure the distance to obstacles. The decision-making process for controlling the direction and speed of the motors is handled using the Mamdani Fuzzy Logic method. System testing was conducted through experimental trials on various track conditions, including straight paths, turns, and branching tracks. Each condition was tested with 50 trials to evaluate system performance. The experimental results show that the robot achieved an average line-following success rate of 77%, with the highest performance on straight tracks and reduced performance on branching tracks due to increased track complexity. The obstacle avoidance system demonstrated effective detection and response with a reaction time of less than 1 second. These results indicate that the proposed system is capable of performing stable line-following and obstacle avoidance, and can serve as a basis for further development of autonomous mobile robots.
Implementasi Data Mining untuk Klasifikasi Status Pembayaran Pelanggan Menggunakan Algoritma Decision Tree Aedo, Yesha Daniela; 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.v5i2.15401

Abstract

This study aims to classify customer payment status using the C4.5 Decision Tree algorithm. The classification is divided into two classes, namely paid and overdue, using a dataset of 9,220 transaction records from the 2021–2023 period. The main problem faced by the company is frequent delays in customer payments, which affect accounts receivable management. Therefore, a system is needed to identify payment status based on the sales representatives handling the customers. The data used include order date, order type, sales name, total price, payment method, and payment status. The C4.5 algorithm constructs a decision tree based on entropy and the highest information gain values. The evaluation results show an accuracy of 91.73%, precision of 91.75%, recall of 91.95%, and an F1-score of 92.35%, indicating that the proposed model has good performance and is suitable as a decision support tool for the company.
Rancang Bangun Sistem Manajemen Proyek pada PT Gentraco Buana Utama Palembang Chandra, Donna Agnesia; 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.v5i2.15414

Abstract

Information technology advancements drive construction companies to enhance efficiency through computerized systems. PT Gentraco Buana Utama faces data management challenges due to manual processes using Excel and WhatsApp, leading to scheduling overlaps and delayed progress reporting. This research aims to develop a web-based project management system to integrate operations, scheduling, and structured project monitoring. The development follows an iterative model consisting of recurring phases: planning, analysis, design, implementation, and testing. The system is built using the Laravel framework and MySQL database. The results demonstrate that the system successfully centralizes project data, provides real-time monitoring via Gantt Chart visualizations, and features automated progress summaries. These features improve data accuracy and evaluation speed for both management and clients.

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