Linggar Maretva Cendani

In my recent role as a Research Assistant at Diponegoro University, I worked closely with Dr. Retno Kusumaningrum, S.Si., M.Kom., actively contributing to ongoing research initiatives in Natural Language Processing (NLP), specifically focusing on Automated Essay Scoring. My responsibilities encompassed conducting extensive research, designing neural network architectures, and training deep learning models. Additionally, I facilitated meetings to discuss research findings and collaborated on the development of a web application called "Transformers 1.0," aimed at enhancing Automated Essay Scoring capabilities. Notably, I achieved significant milestones such as completing successful research, developing the web application, and publishing findings in a scientific journal.

Transitioning to my previous role as an Android Developer and Co-founder at In Corporation, a startup offering online services, I spearheaded the development of the In Apps Android application. My duties ranged from gathering user requirements to deploying the application and its maintenance. Additionally, I handled graphic design tasks and played a crucial role in launching In Apps and securing funding. These experiences honed my skills in databases, teamwork, and technical proficiencies, positioning me as an accomplished professional in the field.

Finally, during my internship as a Web Developer Intern at Dinas Komunikasi dan Informatika Kabupaten Banjarnegara, I developed the Dinas Perhubungan Kabupaten Banjarnegara website and Vehicle KIR Registration System. Utilizing various technologies such as HTML, CSS, Javascript, PHP, MySQL, WordPress, and DIVI, I successfully launched the website, facilitated content management, and increased site traffic. My contributions enhanced public access to transportation-related information, underscoring my proficiency in web development and information management.

During my time at Diponegoro University, I pursued a Bachelor's degree in Computer Science, specializing in Intelligent Systems, from August 2017 to February 2022, graduating with a GPA of 3.83 (Cum Laude) and recognized as the Best Graduate of the Computer Science Program in the 166th Graduation Period. My thesis focused on "Aspect-Based Sentiment Analysis on Indonesian Language Hotel Reviews using Long Short-Term Memory (LSTM) with an Attention Mechanism." Throughout my academic journey, I undertook courses in Intelligent Systems, covering topics such as Evolutionary Algorithms, Information Retrieval, Soft Computing, and Natural Language Processing, among others. Notably, I presented at the International Conference on Networking, Intelligent Systems, and Security 2022 (NISS 2022) and published two scientific articles. Additionally, I engaged in various competitions and held roles in seven student organizations at the department and faculty levels, showcasing my dedication to academic excellence and extracurricular involvement.