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All Journal Semantik Jurnal Teknologi dan Manajemen Informatika Jurnal Buana Informatika Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik JSI: Jurnal Sistem Informasi (E-Journal) Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Transformatika Jurnal Terapan Abdimas Jurnal Informatika Upgris JurTI (JURNAL TEKNOLOGI INFORMASI) JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Journal of Computer Science and Engineering (JCSE) Journal of Applied Data Sciences Jurnal Pengabdian kepada Masyarakat Bina Darma Jurnal Teknologi Informasi Cyberku Jurnal Abdimas Musi Charitas Jurnal Ilmiah Ilmu Terapan Universitas Jambi J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) MDP Student Conference Jurnal Informatika Polinema (JIP)
Latius Hermawan
Universitas Katolik Musi Charitas
Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : MDP Student Conference

 1 
Analisis Sentimen Keluhan Pengguna pada Game Mobile Legends Menggunakan Metode K-Means Clustering Orlando, Nikolas; Prasetya, Benedikto Nugroho; Hermawan, Latius
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.v4i1.11177

Abstract

Mobile Legends is a popular mobile game, but many users express complaints about their gaming experience. This study aims to analyze user complaints’ sentiment using the K-Means Clustering method to group data based on similar complaint patterns. The data was collected from user reviews on the Google Play Store. The results indicate that the K-Means method effectively categorizes complaints into major issues such as connection problems, in-game bugs, and character imbalance. This analysis helps developers identify key user concerns and improve the gaming experience.
Pengembangan Management Information System Berbasis Laravel untuk Optimasi Produktivitas Karyawan PT.XYZ Vega, Laurentius Dika Andreano; Pratama, Arnoldus Julio; Hermawan, Latius
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.v4i1.11181

Abstract

Unorganised employee data management can hamper the company's operational efficiency and increase the risk of recording errors. This research develops a Laravel 11-based Employee Data Management System to overcome these problems. Laravel 11 was chosen because of its scalable and efficient architecture in modern web application development. The system was designed using the Rapid Application Development (RAD) method to accelerate the development process through iteration and continuous feedback. A MySQL database was used to ensure efficient data management. This web-based system allows administrators to record, access, and analyse employee data in real-time with a higher level of accuracy. Test results show that the system improves data management efficiency, reduces recording errors, and increases transparency in human resource management. With this system, companies can optimise productivity and support data-driven decision-making.
Digitalisasi Sistem Penjaminan Mutu Internal (SPMI) untuk Institusi Pendidikan Berbasis Website Cevin, Jery; Gultom, David; Hermawan, Latius
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.v4i1.11183

Abstract

In the current era of digital development, an internal quality assurance system (SPMI) is essential to improve the quality of education. However, the manual methods still used are often inefficient and prone to errors, and this research aims to develop a digital-based SPMI system to improve data management as well as quality evaluation. The rapid application development (RAD) method used in this project enables rapid and iterative system development. Digitalization of quality standard documents, evaluation data management, and monitoring dashboard are the main features of the developed system. Test results show that the system can improve the efficiency of the quality assurance process by improving data integration and reducing manual work. With this system, it is expected to be able to conduct better quality monitoring and evaluation and become a model for other institutions for SPMI digitization.
Co-Authors Agatha Felicia Ahmad Ghiffari Alamsyah, Alfin Gusti Anak Agung Gede Sugianthara Andayani, Sri Andri Wijaya Andryani, Ria Astrid Novita Putri, Astrid Bellaniar Ismiati, Maria Bobbi Setiawan BS, Klaudius Jevanda Cevin, Jery Dandi, Dandi Dedy Hermanto Deris Stiawan Desy Arisandy Dhita Wahyu Anggraeni, Dhita Wahyu Edi Surya Negara Felicia, Agatha Felicia, Agatha Felix Octavian Fransiska Soejono Gultom, David Gunadi Emmanuel Hastari Mayrita Jawa Bendi, Reginaldus Kritoforus Klaudius Jevanda BS Malla, Maria Maria Bellaniar Ismiati Maria Bellaniar Ismiati Meilinda Meilinda Meilinda, Meilinda Mochamad Hariadi Mohamad Farozi Muhammad Fahmi MUHAMMAD FAHMI Muhammad Qurhanul Rizqie Mutika, Suzzana Winda Artha Negara, Edi Surya Oemar, Rexy Orlando, Nikolas Prasetya, Benedikto Nugroho Pratama, Arnoldus Julio R. Kristoforus Jawa Bendi Rafael Tomi Prakoso Rahmat Ramadan Ramayanti, Indri Ramayanti, Indri Rizma Adlia Syakurah Rizqie, Muhammad Qurhanul Romiya, Romiya Ruri Suko Basuki Sri Andayani Sri Andayani Sunda Ariana, Sunda Syakurah, Rizma Adlia Taslim, Jimmy Theresia Sunarni Vega, Laurentius Dika Andreano Vincent Marcellio Violentina Wijaya Wawan Nurmansyah, Wawan Widiastuti R., Paskalina Yeniyati, Prisca Yunitasari Yunitasari