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All Journal Journal of Indonesian Applied Economics Journal of Indonesian Economy and Business Jurnal Ekonomi Syariah Teori dan Terapan JIET (Jurnal Ilmu Ekonomi Terapan) al-Uqud : Journal of Islamic Economics Indonesian Journal of Islamic Literature and Muslim Society Journal of Economics Research and Policy Studies Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Jurnal Ekonomi Pembangunan Economic Development Analysis Journal Indonesian Journal of Islamic Literature and Muslim Society E-Jurnal Ekonomi dan Bisnis Universitas Udayana
Ilmiawan Auwalin
Faculty Of Economics And Business, Universitas Airlangga, Surabaya, Indonesia
Religion Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Other

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Optimizing The Program Kartu Prakerja for Young Workers Anggara, Rizki Tri; Auwalin, Ilmiawan
Economics Development Analysis Journal Vol 13 No 2 (2024): Economics Development Analysis Journal
Publisher : Economics Development Department, Universitas Negeri Semarang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edaj.v13i2.78970

Abstract

The Program Kartu Prakerja is a vital initiative in Indonesia to enhance job opportunities and quality, particularly for vulnerable individuals such as young workers. Many studies focus on unemployed individuals as research subjects. However, the real challenge is faced by the unemployed and those who are already employed. This paper investigates the program's effectiveness in enhancing employment opportunities for young workers by evaluating its impact on the probability of job retention and earnings. Using the August 2021 National Labour Force Survey (Sakernas) data, this study employs the Propensity Score Matching (PSM) method to compare the treatment group receiving the program with the control group not receiving the intervention. The findings show that the program had a significant negative impact on the probability of job retention for young participants, implying that some participants left their previous jobs in search of new ones. Another finding indicates that the program positively impacts earnings, although this impact was not statistically significant. These findings underscore the program's role as a strategic response to improving the labor market's functioning, which needs further optimization.
Impact of Program Keluarga Harapan on Child Labor During Covid-19 Candrawati, Cindy; Auwalin, Ilmiawan
Economics Development Analysis Journal Vol 13 No 2 (2024): Economics Development Analysis Journal
Publisher : Economics Development Department, Universitas Negeri Semarang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edaj.v13i2.78971

Abstract

This research examines the impact of the Program Keluarga Harapan (PKH), a conditional cash transfer program, on child labor in Indonesia. The study focuses on the periods before and during the COVID-19 pandemic, using data from the National Socioeconomic Survey (Susenas) from March 2019 to 2021. The study specifically looks at children aged 10-17 from economically vulnerable families living in urban and rural areas. The research employs the Propensity Score Matching (PSM) technique to determine the impact of PKH on child labor participation as a response to economic shocks and school closures during the pandemic. The findings indicate that while PKH provides financial assistance to families, it has not significantly reduced child labor during the pandemic or before. Despite an increase in the amount of aid and changes to monthly distributions during the pandemic, the proportion of working children has increased, especially in urban areas, where child labour rates have significantly risen compared to rural areas. This research emphasizes the need for comprehensive policy strategies to reduce reliance on child labor as a coping strategy during crises.
NIGHTTIME LIGHT SEBAGAI PROKSI INDEKS PEMBANGUNAN MANUSIA INDONESIA TAHUN 2022 Maulana Faris; Ilmiawan Auwalin
E-Jurnal Ekonomi dan Bisnis Universitas Udayana VOLUME.14.NO.10.TAHUN.2025
Publisher : Fakultas Ekonomi dan Bisnis Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/EEB.2025.v14.i10.p02

Abstract

Indeks Pembangunan Manusia (IPM) adalah ukuran yang digunakan untuk menilai keberhasilan suatu negara dalam meningkatkan kualitas sumber daya manusianya. Namun, menghitung IPM membutuhkan pengumpulan data yang panjang dan mahal. Data Cahaya Malam (Night Time Life/NTL) dapat menjadi sumber data alternatif yang dapat digunakan sebagai proksi untuk IPM. Penelitian ini bertujuan untuk mengkaji kondisi NTL kabupaten/kota di seluruh Indonesia dan menentukan bagaimana NTL dapat berfungsi sebagai proksi untuk IPM. Penelitian menggunakan regresi linier antara IPM dan NTL dengan dan tanpa variabel kontrol. Hasilnya menunjukkan bahwa kota administratif Jakarta Pusat adalah kota paling terang dengan rata-rata NTL sebesar 46,36. Model regresi pertama dibuat dengan IPM sebagai variabel dependen dan NTL sebagai variabel independen. Model kedua menambahkan variabel kontrol Harapan Hidup, Harapan Lama Sekolah, dan persentase kemiskinan moneter. Dalam kedua model, NTL memiliki hubungan positif yang signifikan dengan IPM. Model dengan variabel kontrol mampu menjelaskan hingga 90,4 persen dari variasi IPM. Pada kedua model terbukti NTL mampu menjadi proksi dalam menghitung IPM dan dimanfaatkan dalam pengambilan kebijakan yang berkaitan dengan IPM.   The Human Development Index (HDI) is an indicator of a country's success in developing quality human resources. However, calculating the HDI requires lengthy and expensive data collection. Nighttime Light (NTL) data can be an alternative data source that can be used as a proxy for the HDI. This study aims to examine the NTL conditions of districts/cities throughout Indonesia and determine how NTL can serve as a proxy for the HDI. The study used linear regression between HDI and NTL with and without control variables. The results indicate that the administrative city of Central Jakarta is the brightest city with an average NTL of 46.36. The first regression model was created with the HDI as the dependent variable and NTL as the independent variable. The second model added control variables of Life Expectancy, Expected Years of Schooling, and the percentage of monetary poverty. In both models, NTL had a significant positive relationship with the HDI. The model with control variables was able to explain up to 90.4 percent of the HDI variation. In both models, it is proven that NTL is able to be a proxy in calculating the HDI and is used in policy making related to the HDI.
Co-Authors Adzra Taqiyyah Al Mustofa, Muhammad Ubaidillah Ali Mahdy Arrosikh Alissa Qodrunnada Anggara, Rizki Tri Ardhito Yoga Rasena Audi Apriliyan Putri Candrawati, Cindy Cinantya Sriyono Putri Cinantya Sriyono Putri Dewi Rahmawati Maulidiyah Evi Aninatin Ni'matul Choiriyah Fauzia Aqilla Fadhil Girsang, Pradono Happy Karunia Mukti Imron Mawardi Ivani, Wardha Tia Jasmine Fitri Andrini Mahmudah, Siti Nur Maulana Faris Minnanul Aliyah Muhammad Ubaidillah Al Mustofa Noor Syahro El Muharromy Norma Rosyidah Norma Rosyidah, Norma Nurrizka Puji Lestari Prayitno, Andaru Rachmaning Dias Rahmat Robbi Rektiansyah Rani, Lina Nugraha Rezhi Vauzi Rifka Putri Ramadhanty Shoffan Maulana Siti Arifah Siti Nur Mahmudah Sulistya Sulistya Tarassyta, Aisyah Tika Widiastuti Tri Haryanto Tunjung Pramesti Zahra Wina Annisafitri Purnama Winalda Klarista Putri Yan Putra Timur Zulhazmi Zulhazmi