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All Journal Journal of Scientific Research, Education, and Technology Jurnal Ilmiah Pengabdian dan Inovasi
Oding Herdiana
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education Engineering Social Sciences

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Pelatihan Optimalisasi Pemasaran Produk UMKM melalui Sosial Media Tiktok Btari Mariska Purwaamijaya; Oding Herdiana; Syti Sarah Maesaroh; Rangga Gelar Guntara
Jurnal Ilmiah Pengabdian dan Inovasi Vol. 1 No. 2 (2022): Jurnal Ilmiah Pengabdian dan Inovasi (Desember)
Publisher : Insan Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (848.037 KB) | DOI: 10.57248/jilpi.v1i2.37

Abstract

Digital marketing has many advantages over traditional marketing. With digital marketing, business actors and potential consumers do not need to always meet face to face. This is certainly a very good thing, especially in the midst of the dangers of the current pandemic. In addition, marketing in the digital world has a very wide reach without being limited by space and time. So that the wider the marketing reach, the wider the opportunity to reach potential consumers. One type of digital marketing that is currently becoming a trend is marketing on social media. There are so many social media that can be used for marketing. One of them is Tiktok social media. training activities for optimizing the marketing of MSME products through social media Tiktok have been running smoothly. participants can already make marketing videos on Tiktok. The output of this research is in the form of articles published in national journals.
Development of a REST API for Human Resource Information System for Employee Referral Management Domain Using the Express JS Framework and Node.js Varinia Azkarin; Rangga Gelar Guntara; Oding Herdiana
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 2 No. 3 (2023): Vol. 2 No. 3 2023
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v2i3.199

Abstract

This paper presents the development process of a REST API for a Human Resource Information System (HRIS) focusing on employee referral management. The API was developed using the Express JS framework and Node.js, leveraging their powerful capabilities for efficient web application development. The HRIS serves as a centralized platform for managing employee referrals, tracking candidate progress, and optimizing talent acquisition. The article provides insights into the methodology, key features, and advantages of using the Express JS framework and Node.js for building such an HRIS. The results of the study indicate that the Express JS and Node.js frameworks have successfully developed a REST API for HRIS in the domain of employee referral management. This is evident from the black box testing results, which show valid outcomes for each tested request and response in every API endpoint.
Co-Authors Btari Mariska Purwaamijaya Maesaroh, Syti Sarah Rangga Gelar Guntara Varinia Azkarin