Place :
Zoom Meeting & YouTube Politeknik Statistika STIS
Description :Continuing the previous series, Politeknik Statistika STIS once again held the third installment of the Statistika Webinar Series on Friday (18/06). The webinar was conducted online via Zoom Meeting and broadcast live on YouTube, carrying the main theme of “Statistical Computing.” Moderated by Erna Nurmawati, SST, M.T., this webinar featured three speakers: Yunarso Anang, Ph.D., Dr. Eng. Arie Wahyu Wijayanto, and Lutfi Rahmatuti Maghfiroh, SST, M.T.
The first topic, “Writing Programs: For Whom?” was presented by Yunarso Anang, Ph.D. He began his presentation by explaining how computers are present in every aspect of modern life and can only function properly when built with the right programs. He explained that programs can be written for clients, computers, or other programmers. In this discussion, he emphasized that the key to writing programs for other programmers is that the code must be easy to understand—commonly referred to as clean code. Clean code is characterized as elegant, efficient, concise, minimally dependent, easy to maintain, comprehensive in error handling, fast, and responsive. He also discussed the importance of legacy codes, stating that a programmer’s job is not only to write functional programs but also ones that can be maintained by others.
Dr. Eng. Arie Wahyu Wijayanto, the second speaker, continued the presentation with the topic “Data Mining: Concepts and Implementation Techniques.” He opened by stating that data comes in various forms, whether ready-to-use or not. However, despite its large volume, the knowledge extracted remains limited. He explained that data mining studies methods to extract knowledge or discover patterns from large datasets. These patterns and models must meet certain criteria such as being valid, useful, unexpected, and understandable. Moreover, data mining intersects with statistics, machine learning, and database systems. As a scientific discipline, data mining follows a standard process known as CRISP-DM, which includes business understanding, data understanding, data preparation, modeling, evaluation, and deployment. To give participants a clearer picture, he presented examples of data mining implementations, including tools that can be used (such as WEKA, R Programming, Python Programming) and data sources for practice (such as the UCI ML Repository, Stanford SNAP, Konect Networks, and Kaggle).
Lutfi Rahmatuti Maghfiroh, SST, M.T., the third speaker, presented the topic “Preparation for Becoming a Software Developer.” She began by explaining the definition, examples, types, and roles of a software developer. She conveyed that in addition to creating and developing software, a developer also reviews systems, proposes improvements, collaborates with analysts and users, and ensures the completeness of the program. A software developer must master hard skills (such as being proficient and up-to-date in programming languages, computer programming/coding, software testing and debugging, and databases) and soft skills (such as attention to detail, communication abilities, structured thinking, and curiosity). To conclude, she discussed the forms of software applications, namely desktop, web, and mobile applications, along with their respective advantages and disadvantages.
The webinar concluded with a Q&A session that was met with great enthusiasm from participants, as seen in the number and variety of questions submitted via the Slido platform. Participants came not only from Politeknik Statistika STIS and Statistics Indonesia (BPS) but also from various prestigious institutions and universities across Indonesia.
(Marini Safa Aziza_62)
