Abstract

This study aimed to analyze the E-Master application as an effort to process personnel data. This research type was descriptive qualitative. The research subjects were 5 people consisting of 2 OTKP teachers and 3 administrative employees at SMKN 10 Surabaya, while 2 administrative employees and 1 Head of Study Program as source triangulation. Data collection techniques were questionnaires and interviews, while data analysis techniques used data condensation, data presentation, drawing conclusions. The results of the study showed: (1) mapping indicators were able to map Civil servant; (2) SKP indicators, could be used as a medium for monitoring the performance of each Civil servant; (3) training analysis indicators, Civil servant could take part in training activities; (4) promotion indicators, making it easier for Civil servant during the promotion process; (5) pension indicator, providing a sufficient period of time in managing pension files; (6) periodic salary indicators, facilitating the finance department in processing periodic salary calculations; (7) Taspen indicator, making it easier for staffing department to process data on retired personnel; (8) Leave indicators, it was easier for staffing officers to print Civil servant attendance lists; (9) Study permit indicator, helping Civil servant if they wanted to continue their education again.

Highlights

  • This study aimed to analyze the E-Master application as an effort to process personnel data

  • Public services are a series of activities provided by public organizations in order to meet the administrative needs of goods, services and/or services for every citizen in accordance with the provisions of Law no. 25 of 2009 which discusses public services

  • The presence of the state is very vital to fulfill the obligation to serve every citizen within the framework of public services as mandated in the 1945 Constitution of the Republic of Indonesia

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Summary

Introduction

This study aimed to analyze the E-Master application as an effort to process personnel data.

Objectives
Results
Conclusion
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