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All Journal FOKUS : Kajian Bimbingan dan Konseling dalam Pendidikan Jurnal Ilmiah Wahana Pendidikan Proceeding Applied Business and Engineering Conference TANJAK : Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Mahasiswa & Penelitian Keperawatan
rahmani, Nur
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Journal : Proceeding Applied Business and Engineering Conference

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Prediction of Interest in The D3 Nautical and D3 Port and Shipping Management Study Program for New Student Admissions at State Polytechnic of Bengkalis Using Naïve Bayes Zulyani, Zulyani; Robyansyah, Robyansyah; Rahmani, Nur; Prianus, Handro Okta
ABEC Indonesia Vol. 12 (2024): 12th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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The selection of an academic program at a higher education institution is a crucial decision that cansignificantly impact a student's academic journey. By choosing an appropriate program, students are more likely to beimmersed in an academic environment with peers, faculty, and learning conditions that align with their goals andabilities. This fosters a positive and supportive atmosphere, enables students to excel academically and acquires thenecessary knowledge to succeed in the workforce post-graduation. The Maritime Department at State Polytechnic ofBengkalis offers two study programs: D3 Nautical and D3 Port and Shipping Management. In recent years, there hasbeen a noticeable decline in the interest of prospective students in the Nautical program, while the Port and ShippingManagement program has experienced a steady increase in interest. This research employs the Naïve Bayes algorithm asa predictive model to classify student interest in the Maritime Department's programs for the 2024 new studentadmissions. The study focuses on predicting enrollment trends for the D3 Nautical and D3 Shipping Managementprograms. The results demonstrate that the Naïve Bayes algorithm is capable of predicting program interest for newstudent admissions in the Maritime Department with an accuracy of 54%, a precision of 77%, and a recall of 58%.
Design of Accounting Learning Media for Vocational Students to Enhance Data Analytics Skills Using Microsoft Power BI Fiddin, Fachroh; Rahmani, Nur; Amelda , Amelda; Dwikurnia, Via
ABEC Indonesia Vol. 12 (2024): 12th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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Abstract

This research is motivated by the lack of learning media that facilitates the use of data analytics tools likeMicrosoft Power BI in vocational accounting education, despite the fact that several professional literatures highlight thataccountants need skills in working with data and communicating results to stakeholders. The purpose of this study is todesign a learning media based on accounting data in the form of several financial dashboards, including sales analysis,Profit & Loss analysis, and Balance Sheet analysis, using financial transaction data processed through Microsoft Power BI.This enables both lecturers and students to interpret accounting data through the data visualization tools that have beencreated.This study follows a developmental research approach using the ADDIE model, which includes analysis, design,development, implementation, and evaluation. The testing of this learning media design was conducted with accountinglecturers and students. The results show that the validation from both lecturers and students indicates that the learningmedia received excellent ratings. Therefore, it can be concluded that the learning media utilizing Microsoft Power BI toenhance students' data analytics skills is highly feasible for implementation in accounting education.
Co-Authors Amelda , Amelda Dwikurnia, Via Fiddin, Fachroh Nurul Hidayat Prianus, Handro Okta Robyansyah, Robyansyah Setyaningsih Setyaningsih, Setyaningsih Sitti Nurbaya Tita Rosita Y, Yusnaeni Yonti, Kholiqul Lutfi Alfizar Zulyani, Zulyani