Pemutusan Hubungan Kerja (PHK) Akibat Automasi dan Artificial Intelligence: Tantangan Hukum Ketenagakerjaan di Indonesia

The rapid advancements in automation and artificial intelligence (AI) have significantly transformed various industries in Indonesia. While these technologies enhance efficiency and productivity, they also pose severe challenges to employment, notably the increasing prevalence of layoffs (PHK). This article critically analyzes the legal framework in Indonesia governing worker protection against layoffs caused by automation and AI. It highlights the inadequacies in current regulations, such as the Employment Law and the Job Creation Law, in addressing the unique challenges posed by digital transformation. Using a normative legal approach, the study emphasizes the need for adaptive policies, including reskilling, upskilling, and enhanced social security programs like the Employment Loss Insurance (JKP). Lessons from countries like Germany and Singapore underline the importance of government and industry collaboration in workforce readiness. The findings advocate for a holistic and inclusive policy framework to mitigate automation’s adverse effects while leveraging its potential for sustainable development.

Authors

Institutions

Publication Details

Journal
Doktrin Jurnal Dunia Ilmu Hukum dan Politik
Published
2024-12-18
DOI
https://doi.org/10.59581/doktrin.v3i1.4451
Primary Topic
Indonesian Legal and Regulatory Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pemutusan Hubungan Kerja (PHK) Akibat Automasi dan Artificial Intelligence: Tantangan Hukum Ketenagakerjaan di Indonesia

Savina Anggun Lestari, Damar Tangguh Rabani, Eva Maya Sari, Hana Reswara Ardiana
Doktrin Jurnal Dunia Ilmu Hukum dan Politik
Indonesian Legal and Regulatory Studies
article

Pemutusan Hubungan Kerja (PHK) Akibat Automasi dan Artificial Intelligence: Tantangan Hukum Ketenagakerjaan di Indonesia

Savina Anggun Lestari, Damar Tangguh Rabani, Eva Maya Sari, Hana Reswara Ardiana
article en

Abstract

The rapid advancements in automation and artificial intelligence (AI) have significantly transformed various industries in Indonesia. While these technologies enhance efficiency and productivity, they also pose severe challenges to employment, notably the increasing prevalence of layoffs (PHK). This article critically analyzes the legal framework in Indonesia governing worker protection against layoffs caused by automation and AI. It highlights the inadequacies in current regulations, such as the Employment Law and the Job Creation Law, in addressing the unique challenges posed by digital transformation. Using a normative legal approach, the study emphasizes the need for adaptive policies, including reskilling, upskilling, and enhanced social security programs like the Employment Loss Insurance (JKP). Lessons from countries like Germany and Singapore underline the importance of government and industry collaboration in workforce readiness. The findings advocate for a holistic and inclusive policy framework to mitigate automation’s adverse effects while leveraging its potential for sustainable development.

Doktrin Jurnal Dunia Ilmu Hukum dan PolitikVol. 3(1)
State University of Semarang (ID)
Openalex Percentile: Top 49%
Indonesian Legal and Regulatory Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Pemutusan Hubungan Kerja (PHK) Akibat Automasi dan Artificial Intelligence: Tantangan Hukum Ketenagakerjaan di Indonesia — Savina Anggun Lestari, Damar Tangguh Rabani, et al. · Doktrin Jurnal Dunia Ilmu Hukum dan Politik (2024) | TGRS Research Map | TGRS