Budi Hartono
BPS Provinsi Jambi

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Mengisi Kekosongan Data Tingkat Pengangguran Terbuka Kabupaten/Kota Tahun 2016, Bisakah? Budi Hartono
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 2 No 02 (2019): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v2i02.26

Abstract

The Central Statistics Agency (BPS) is nationally responsible for the availability of data needed for sectoral and cross-sectoral development planning in Indonesia. The data used for development planning in the manpower sector is collected through the National Labor Force Survey (Sakernas). Since 2015, Sakernas has been designed using the Three Stage Sampling method (Census Block Panel) and is held every semester, namely in February and August. The Small Area Estimation (SAE) method is an alternative that can be used to estimate parameters in an area with sufficient precision when the sample size in that area is too small. The SAE method using the Zero Inflated Binomial model can be used to estimate the Open Unemployment Rate (TPT) at the district/city level in the period August 2016 in Jambi Province. The results of the Jambi Province TPT estimation using the SAE ZIB method are the same as those published by BPS, namely there are 4 (four) unemployed people out of 100 people in the workforce. The SAE ZIB method can produce an estimate of TPT for August 2016 at the district/city level in Jambi Province which was not previously produced by BPS due to insufficient samples.
Hubungan Antara Kelelahan Bekerja dengan Prokrastinasi dan Pengaruhnya Terhadap Kinerja Pegawai: Studi Kasus : Pegawai BPS di Provinsi Jambi Tahun 2023 Shinta Burhani; Budi Hartono
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 6 No 01 (2023): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v6i01.64

Abstract

Preparation for sudden Regsosek activities, ongoing routine activities, and administrative matters pose many challenges for BPS staff. Increasingly heavy demands can lead to burnout for employees. This work fatigue will cause employees to delay doing their jobs or often known as procrastination. Procrastination is divided into two, namely active and passive. Procrastination behavior is very detrimental in terms of material and immaterial which can ultimately reduce employee performance. This study aims to find out an overview of the research variables, the effect of work fatigue on procrastination, the effect of procrastination on employee performance, and the effect of work fatigue on employee performance. The analytical method used is k-means clustering and structural equation modeling-partial least squares (SEM-PLS). The results showed that the majority of employees experienced high levels of work fatigue, high levels of active procrastination, high levels of passive procrastination, and high levels of employee performance. Work-life imbalance has the biggest contribution to explaining work fatigue, intentional decision to procrastinate has the biggest contribution to explain active procrastination, decisional delay has the biggest contribution to explain passive procrastination, and contextual performance has the biggest contribution to explain employee performance. Work fatigue has a positive and significant effect on active and passive procrastination. Active and passive procrastination have a negative and significant effect on employee performance. Work fatigue has an indirect, negative, and significant effect on employee performance.    Keyword: work fatigue, procrastination, performance, k-means clustering, SEM-PLS