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All Journal Nursing News : Jurnal Ilmiah Keperawatan Jurnal Kreativitas PKM YUME : Journal of Management Portal: Jurnal Teknik Sipil Puteri Hijau : Jurnal Pendidikan Sejarah Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika JPMI (Jurnal Pembelajaran Matematika Inovatif) Jurnal Pengabdian Masyarakat Teknik Ethical Lingua: Journal of Language Teaching and Literature Mitra Raflesia (Journal of Health Science) Jurnal AlphaEuclidEdu MAHESA : Malahayati Health Student Journal Khidmatul Ummah: Jurnal Pengabdian Kepada Masyarakat Jurnal Pendidikan Teknik Bangunan Informatics and Enginering Dedication SEUNEUBOK LADA: Jurnal ilmu-ilmu Sejarah, Sosial, Budaya dan Kependidikan SINTHOP: Media Kajian Pendidikan, Agama, Sosial dan Budaya MDP Student Conference Lontara Journal Of Health Science And Technology Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer Jurnal Abdimas Kesehatan Jurnal Generasi Tarbiyah: Jurnal Pendidikan Islam
Mardiani Mardiani
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Journal : mdp student conference

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Perancangan Sistem Informasi Kepegawaian Pada PT Elco Prima Sejahtera Stevanus, Andry; Mardiani, Mardiani
MDP Student Conference Vol 4 No 1 (2025): The 4th MDP Student Conference 2025
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v4i1.10892

Abstract

PT Elco Prima Sejahtera is a company established in 1998 and based in Palembang, engaged in providing products and services to National Oil and Gas Companies, with a total of 41 employees. The existing system at PT. Elco Prima Sejahtera is less than optimal because it still uses paper, Microsoft Word, WhatsApp, and email, making searches time-consuming, prone to errors, and even resulting in lost documents. In the development of the system, the RUP (Rational Unified Process) method was used, involving interviews and literature studies. The system design is built using PHP with the Laravel framework and MySQL as the database. The Employee Information System will record employee data consisting of attendance data, recruitment, leave, rewards and punishments, promotions, and demotions. With the presence of the employee information system, it can address the issues at PT Elco Prima Sejahtera.
Penerapan Metode RUP dalam Pengembangan Sistem Informasi Kepegawaian PT Navia Persada Abadi Ferdiansyah, Muhammad; Mardiani, Mardiani
MDP Student Conference Vol 4 No 1 (2025): The 4th MDP Student Conference 2025
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v4i1.10914

Abstract

PT Navia Persada Abadi operates in the field of fuel oil distribution and transportation services, facing obstacles in managing personnel data which is still manual, such as absenteeism recaps, leave applications and recruitment. This leads to processes that are inefficient and prone to errors. To overcome this problem, a web-based personnel information system was designed using the Rational Unified Process (RUP) method. This system includes features for managing employee data, attendance, recruitment, leave, reward & punishment, promotion and demotion. The implementation of a PHP and MySQL based system is expected to increase efficiency, accuracy and transparency in personnel management in the company. With this system, PT Navia Persada Abadi can increase operational productivity and provide better service to employees.
Penerapan Data Analitik untuk Menentukan Pola Asosiasi Penjualan dengan Algoritma Apriori Bong, Adryanto Wisesa; Mardiani, Mardiani
MDP Student Conference Vol 4 No 1 (2025): The 4th MDP Student Conference 2025
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v4i1.10930

Abstract

Company XYZ is a distributor of motorbike spare parts that faces challenges in utilizing transaction data to improve marketing strategies. This research aims to apply the Apriori algorithm in analyzing transaction data to find product purchasing patterns that often occur simultaneously. The Knowledge Discovery in Database (KDD) method is used for the analysis process, starting from understanding data, data transformation, to pattern discovery and evaluation. The interactive dashboard was designed using Python to present analysis results in an easy-to-understand visual form. The research results show that the application of the Apriori algorithm can identify significant association patterns between products, help companies improve sales strategies and optimize stock management. Thus, this research contributes to data-based decision making to support company business growth.
Penemuan Pola Asosiasi pada Data Transaksi PT Bumi Kaya Kuliner Menggunakan Algoritma Apriori Chendana, Nicholas Ignatius; Mardiani, Mardiani
MDP Student Conference Vol 4 No 1 (2025): The 4th MDP Student Conference 2025
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v4i1.10978

Abstract

PT Bumi Kaya Kuliner is a company operating in the culinary sector which every day stores a lot of transaction data in Excel format containing sales of food and beverage products. The company wants to utilize the stored transaction data to provide future strategy suggestions. So data mining analysis can be carried out using an a priori algorithm using the CRISP-DM method. The results obtained from this research are in the form of menu combinations that are often ordered simultaneously and the output of this research is also in the form of a dashboard application which is implemented using Visual Studio code and the Python programming language with the aim of being able to be used by companies to see calculation results directly.
Perancangan Sistem Informasi Kepegawaian Berbasis Web pada PT Selaras Simpati Nusantara Dinata, Chandra; Mardiani, Mardiani
MDP Student Conference Vol 4 No 1 (2025): The 4th MDP Student Conference 2025
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v4i1.11056

Abstract

PT Selaras Simpati Nusantara is a company engaged in Heavy Equipment Rental Contractor Services and Construction Services in Palembang, Indonesia. The company is located at Komplek Sapta Indah Town House, Jl. Seduduk Putih No.F9, 8 Ilir, Ilir Timur II District, Palembang City, South Sumatra 30164. PT Selaras Simpati Nusantara has 52 employees, consisting of 20 permanent employees and 32 contract employees. The company is divided into several main divisions, including the Finance Division with 6 employees, the Operations Division with 3 employees, the Engineering Division with 5 employees, and the General Division with 2 employees. Currently, the company still uses a manual recording system for various HR administrative processes, such as attendance, recruitment, leave applications, permits, and employee data recording. This manual system causes several issues, including a high risk of data loss, inaccurate recording, delays in administrative processes, and difficulties in searching and managing employee data. This study aims to develop a web-based HR information system to improve efficiency, accuracy, and ease of HR data management. The method used is the Rational Unified Process (RUP), which consists of inception, elaboration, construction, and transition. The result of this study is a web-based application capable of automating HR administrative processes, accelerating workflows, and making them more efficient, transparent, and well-organized.
Analisis Pola Pembelian Suku Cadang dengan Algoritma FP-Growth dan Visualisasi Data Penjualan Hendry, Tivelin; Mardiani, Mardiani
MDP Student Conference Vol 4 No 1 (2025): The 4th MDP Student Conference 2025
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v4i1.11102

Abstract

PT Indo Global Cemerlang faces challenges in identifying customer purchasing patterns, which impacts marketing strategies and inventory management. This research aims to analyze purchasing patterns using the FP-Growth algorithm and present the results in a data visualization dashboard. Transaction data for the period August-October 2024 was processed using the CRISP-DM approach, including business understanding, data preparation, modeling, evaluation, and deployment. The FP-Growth algorithm was applied with a minimum support of 0.003 and confidence of 0.6, resulting in 24 association rules visualized in an interactive dashboard. The test results show that this method is effective in identifying purchasing patterns, and the dashboard developed is able to present information comprehensively and easily interpreted, thus supporting business decision making.
Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Pada PT. Garam Menggunakan Metode Weighted Product Fitriansyah, Yudi; Mardiani, Mardiani
MDP Student Conference Vol 4 No 1 (2025): The 4th MDP Student Conference 2025
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v4i1.11135

Abstract

PT Garam is one of the largest salt producing companies in Palembang. PT Garam has several obstacles related to the problem of selecting the best employees, namely the criteria for determining the best employees which is currently by determining the best a bsences which are selected by supervisors and admin only. So the best employee appraisal system currently available is considered less effective and unfair. This research aims to build a decision support system for selecting the best employees which can he lp PT Garam in determining the best employees. The system built can manage employee data, criteria data, assess and store assessment data, and calculate assessments using the Weighted Product (WP) method. The system development method uses the Waterfall method. The result of this research is a decision support system that provides a ranking of the best employees based on assessments calculated using the Weighted Product (WP) method .
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.
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.
Co-Authors ., Stephen Agung Riyadi Ahmad Yani T Akrajas Ali Umar Annisa R Arent, Ease Asrinia Desilia Bong, Adryanto Wisesa Buston, Erni Chandra Dinata Chendana, Nicholas Ignatius Corry, Corry Dafid Dafid Darma, Dimas Dewa Dedy Suryadi Dien Novita Dina, Risma Djaswadi Dasuki Dona Fitriawan Farisi, Ahmad Fitriansyah, Yudi Fransiska Prihatini Sihotang, Fransiska Halini - Hapsari, Alya Sekar Hariadi, Efrizon Harianja, Tuangkus Hendry, Tivelin Herwan Dermawan Husni Husni Indah Indah istiqomah istiqomah Jovita, Neysa Kheli Fitria Annuril Marjoni Imamora Ali Umar Mawarnis, Elvy Rahmi Meisy Meisy Muhammad Fachri Muhammad Ferdiansyah, Muhammad Nafriza, Elsa Napitu, Hasian Napitu, Ulung Nasution, Ade Mey Lisca Nur Elly Nur Jannah Nur Rachmat Octaria, Orissa Odih Supratman Pardosi, Sariman Pibriana, Desi Ridha Mardiani Rina Marina Masri, Rina Marina Rizani Teguh rusbandi rusbandi, rusbandi Sahran, Sahran Salim, Ignasius Felix Sari, Dewi Tarita Sarita, Rezeki Oktari Sasabone, Luana Septiyanti, Septiyanti Sinurat, Anggiat Siti Nurasiyah, Siti Stevanus, Andry Sudiadi, Sudiadi Sugiatno Sugiatno Sujarwo Sujarwo Sukmawati Sukmawati Sutrisno Sutrisno Syam, Nur Ina Syam Tineke Wolok Widia Lestari Wijaya, Andra Saferi Winata, Praja Yasmin, Nuramalia Yeremia, Deryl Andeya Yoga Wahyu Pratama Yuriatson, Yuriatson Yusuf, Rakhmat