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All Journal Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Dimamu Indonesian Journal of Informatic Research and Software Engineering Jurnal AbdiMU Padma: Jurnal Pengabdian Kepada Masyarakat CONSEN: Indonesian Journal of Community Services and Engagement Journal of Islamic Economics and Business Coreid Journal INTERNAL (Information System Journal) Goodwood Akuntansi dan Auditing Reviu
Dewi, Sofia
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Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Physics Public Health Social Sciences Other

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Journal : Coreid Journal

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Enterprise Architecture Design of Information Media at Little Ambulance in Sumedang Regency Dewi, Sofia; Wijaya, Miki; Prakarsa A.S, Muhammad
CoreID Journal Vol. 2 No. 2 (2024): July 2024
Publisher : CV. Generasi Intelektual Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60005/coreid.v2i2.30

Abstract

In this modern era, disseminating information is easier and faster through the latest technology, including publications using information media. Little Ambulance is a social institution in the field of public health which requires information media to build public trust. Enterprise Architecture (EA) is a reference framework used to build an information architecture that suits the needs of Little Ambulance. Little Ambulance, by using this EA, is able to identify ongoing transactions and operations and also to design a blueprint for the future. The required information architecture includes information about location, news, volunteer search, and donation transaction reports. Creating this website can help Little Ambulance to gain trust, support and volunteers who want to join, as well as to ensure transparency of expenditure made by Little Ambulance in order to increase public trust.
Classification of Non-Civil Servant Performance Appraisal Using Naïve Bayes Classifier Algorithm Dewi, Sofia
CoreID Journal Vol. 1 No. 2 (2023): July 2023
Publisher : CV. Generasi Intelektual Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60005/coreid.v1i2.10

Abstract

Employee performance assessment is a way to measure the level of employee productivity. In the process of assessing the performance of Non-Civil Servants (non-PNS) employees at the Regional Technical Implementation Unit of Education and Training of Cooperatives and Entrepreneurs (UPTD P3W) at this time, it is required to classify data based on several factors to find out whether the employee fits into the eligible category or not as the best employee to become a civil servant (PNS) candidate. The purpose of this research is to make it easier to determine the classification of the performance assessment of non-PNS employees at UPTD P3W using the Naïve Bayes Classifier Algorithm and to determine the level of accuracy in the classification of the performance assessment. In this study, the authors used 498 data as training data and 105 data as testing data for manual testing in Excel and for testing using RapidMiner tools. Based on the analysis in the study, the result of the predictions determines the best employees to become candidates for civil servants quickly and accurately, while from the tests performed by comparing training data and with data testing using RapidMiner tools, the accuracy rate is 84.76%.
Co-Authors Abidin, Rachmat Anwar, Moh. Taufan Arif Setyawan, Adhita Aryanti, Utami Asmalasari, Ai Siti Desrian, Wanda Novianti Fadillah, Tifa Hidayat, Hilmi Sirojuddin Jayatmi, Irma Kresnawati, Ai Muhammad Prakarsa Al Qard Saleh Naasyiah, Rifdah Oktavianty, E Desy Prakarsa Al Qadr Saleh, Muhammad Putri, Magdalena Tri Rahayu, Ajeng Rainaya, Suci Rosita, Ita Sali Setiatin Salsabila, Jihan Salma Sopyanti, Sinta Srimulyani, Yeni Sudrajat, Juan Wendi Sulmainah, Alma Syawali, Fikri Ikhsan Tiara Anggraeni, Tiara Wijaya, Miki Wirahadi, Umar Yunengsih, Yuyun