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All Journal Ekonomi Bisnis JDE (Journal of Developing Economies) BAREKENG: Jurnal Ilmu Matematika dan Terapan PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND OFFICIAL STATISTICS
Sofa, Wahyuni Andriana
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation

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DAMPAK URBAN SPRAWL TERHADAP PRODUKTIVITAS TENAGA KERJA DI INDONESIA Wahyuni, Ribut Nurul Tri; Sofa, Wahyuni Andriana; Kartiasih, Fitri
Jurnal Ilmiah Ekonomi Bisnis Vol 30, No 1 (2025)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/eb.2025.v30i1.11313

Abstract

Peningkatan urban sprawl di Indonesia cukup masif sejak perubahan sistem pemerintahan dari sentralisasi menjadi desentralisasi. Peningkatan tersebut bisa berdampak pada produktivitas tenaga kerja, namun dampaknya masih bersifat ambigu. Penelitian ini bertujuan untuk mengetahui hubungan antara urban sprawl dan produktivitas tenaga kerja di kabupaten/kota pada tahun 2022 dengan menggunakan instrumental variable - two stage least squares (IV-2SLS). Urban sprawl menggambarkan rata-rata proporsi undeveloped land di radius 1,5 km dari lingkungan tempat tinggal penduduk. Hasilnya membuktikan bahwa urban sprawl berhubungan negatif dengan produktivitas tenaga kerja, terutama di kabupaten/kota berpenduduk padat dan di Jawa. Hasil ini menyiratkan bahwa kebijakan anti urban sprawl di kabupaten/kota berpenduduk padat dapat meningkatkan produktivitas tenaga kerja. Kabupaten/kota dengan urban sprawl rendah cenderung menarik penduduk berpendidikan tinggi. Ini mungkin menyebabkan produktivitas di kabupaten/kota tersebut tinggi. Selain itu, urban sprawl dikaitkan dengan upah yang rendah. Perusahaan yang berada di urban sprawl bisa memiliki produktivitas yang lebih rendah, namun kerugian tersebut sebanding dengan pembayaran upah yang rendah ke tenaga kerja. Meskipun demikian, urban sprawl memungkinkan tenaga kerja tinggal dekat dengan tempat kerja sehingga upah yang rendah belum tentu mencerminkan penurunan kesejahteraan tenaga kerja.
CONFIDENCE SHOCKS IN EMERGING MARKETS AND THEIR GLOBAL CONTAGION: INSIGHTS FROM G-CUBED SIMULATIONS Sofa, Wahyuni Andriana; Wahyuni, Ribut Nurul Tri; Kartiasih, Fitri
Jurnal Ilmiah Ekonomi Bisnis Vol 30, No 2 (2025)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/eb.2025.v30i2.12754

Abstract

The global economy has begun to recover from the global financial crisis (GFC), which occurred around 10 years ago, according to recent economic statistics.  However, investor confidence has declined in a number of significant emerging markets (EMEs) due to rising interest rates in the US and ongoing trade tensions between the US and China, potentially causing contagion effects worldwide. The worldwide impacts of the financial crisis in certain important EMEs, namely Argentina, Brazil, Turkey, and Russia (ABTR), as well as its widespread impact on raising global investment and consumption risk, are examined in this paper using the G-Cubed model for G-20 nations with six sectors.  According to the findings, because three distinct shocks struck at the same time in ABTR countries—where the initial shock emerged—they experience the most negative short-term effects of the confidence crisis.  The cost of capital rises as a result of the capital outflow from these nations, which causes firms to disinvest or reduce their capital stock. Households across all nations are also more likely to discount future income streams as a result of their increased risk assessment, which promotes more savings and lower spending.  Additionally, both developed and non-shocked emerging countries grew as a result of increased capital inflows, but their trade balances worsened due to exchange rate appreciation, which made the production decline worse.
NATIONAL HEALTH INSURANCE AND CATASTROPHIC HEALTH EXPENDITURE: A COMPLEMENTARY LOG-LOG APPROACH ON YOGYAKARTA’S INCIDENCE 2022 Fakhriandi, Erdi; Sofa, Wahyuni Andriana
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 2 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss2pp0997-1008

Abstract

National Health Insurance (JKN) aims to provide health care benefits to meet people's basic health needs. However, despite the high JKN coverage in D.I.Yogyakarta Province, catastrophic health expenditure events remain high. The study examines the implementation of National Health Insurance (JKN) in D.I.Yogyakarta Province and its effectiveness in reducing devastating health expenditures in 2022. Using the Complementary Log-log approach on the 2022 National Social and Economic Survey data, the research findings reveal that the implementation of JKN has been successful, and the ownership of JKN positively affects the reduction of catastrophic health expenditure. The study also shows that the education level of household members and household size have positive effects on reducing the incidence of catastrophic health expenditures. However, the presence of babies or the elderly, household economic status, and inpatient status could increase the risk of having catastrophic health expenditures. The study highlights the need for attention to be given to implementing JKN in D.I.Yogyakarta Province and other variables to achieve universal health coverage and reduce catastrophic health expenditure.
Digital Adoption and Women in the Labor Market: Indonesia's Case Sofa, Wahyuni Andriana; Eschachasthi, Realita
Journal of Developing Economies Vol. 9 No. 1 (2024)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jde.v9i1.39475

Abstract

Although the advantages of digitalization are frequently mentioned, there is still a persistent gender disparity in labor participation, especially in developing nations. This study examines the extent to which digitalization guarantees gender equality. Specifically, it aims to analyze the impact of internet usage on women's involvement in Indonesia's workforce. This study additionally examines the impacts in various parts of the country. Through the use of panel Tobit regression, utilizing district-level data obtained from SUSENAS-KOR, SAKERNAS, and INDO-DAPOER for the years 2017-2019, we have discovered a noteworthy and positive correlation between the utilization of the internet and the participation of women in the labor force. The observed effect remains strong even after accounting for additional factors. The heterogeneity analysis indicates that the correlation between internet usage and female labor force participation is more pronounced in the Java region than in areas outside Java. However, obstacles still prohibit women from accessing the advantages of digitalization. Hence, the proposed policy entails prioritizing equitable internet access and diminishing the obstacles to women's participation in the labor market to attain gender equality.
CONFIDENCE SHOCKS IN EMERGING MARKETS AND THEIR GLOBAL CONTAGION: INSIGHTS FROM G-CUBED SIMULATIONS Sofa, Wahyuni Andriana; Wahyuni, Ribut Nurul Tri; Kartiasih, Fitri
Jurnal Ilmiah Ekonomi Bisnis Vol. 30 No. 2 (2025)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The global economy has begun to recover from the global financial crisis (GFC), which occurred around 10 years ago, according to recent economic statistics.  However, investor confidence has declined in a number of significant emerging markets (EMEs) due to rising interest rates in the US and ongoing trade tensions between the US and China, potentially causing contagion effects worldwide. The worldwide impacts of the financial crisis in certain important EMEs, namely Argentina, Brazil, Turkey, and Russia (ABTR), as well as its widespread impact on raising global investment and consumption risk, are examined in this paper using the G-Cubed model for G-20 nations with six sectors.  According to the findings, because three distinct shocks struck at the same time in ABTR countries—where the initial shock emerged—they experience the most negative short-term effects of the confidence crisis.  The cost of capital rises as a result of the capital outflow from these nations, which causes firms to disinvest or reduce their capital stock. Households across all nations are also more likely to discount future income streams as a result of their increased risk assessment, which promotes more savings and lower spending.  Additionally, both developed and non-shocked emerging countries grew as a result of increased capital inflows, but their trade balances worsened due to exchange rate appreciation, which made the production decline worse.
REVEALING THE STICKY FLOOR EFFECT OF THE GENDER WAGE GAP IN INDONESIA BY USING AN UNCONDITIONAL QUANTILE REGRESSION WITH RIF-OLS APPROACH Rahmah, Aisyah ‘Azizah Nur; Sofa, Wahyuni Andriana
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 20 No 2 (2026): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol20iss2pp1047-1060

Abstract

Gender inequality persists as an ongoing challenge, particularly evident in the persistent wage gap which often stems from entrenched societal perceptions that restrict women into subordinate roles. This study aims to investigate factors influencing wage gap and its explained and unexplained contributor. Many studies in Indonesia only measure gender wage gap at one average point. Each point of the wage distribution has different characteristics, so the gender pay gap at one average point cannot be assumed to apply to the entire wage distribution. This study uses a more up-to-date method to examine wage differences between gender. Besides, the use of the internet as part of digitalization is crucial as a factor that has not been widely explored in other researches. Using data from Sakernas February 2023, this study employs UQR with RIF-OLS estimation and Blinder-Oaxaca decomposition. The results show that regional status, secondary education, work experience, internet use, working hours, and union membership affect the wages of both male and female workers across quantiles. Blinder-Oaxaca decomposition shows that women receive 12.25 to 69.37 percent lower wages than men, and the pattern varies across different wage group, confirming a sticky floor effect. Furthermore, education, regional status, marital status, training, internet use, activity status, and union membership are proven to narrow the gap. The differences in worker characteristics by gender affect wage disparities, and the government is expected to address the widening gap, especially at the bottom of the wage distribution.
Forecasting Indonesian Monthly Rice Prices at Milling Level Using Google Trends and Official Statistics Data Swardanasuta, I Bagus Putu; Sofa, Wahyuni Andriana; Muchlisoh, Siti; Wijayanto, Arie Wahyu
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2025 No. 1 (2025): Proceedings of 2025 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2025i1.521

Abstract

Hunger is a very complex social issue to address. Alleviating hunger is closely related to achieving food security, which is a goal in realizing the second Sustainable Development Goals (SDGs), zero hunger. The most frequently consumed food commodity by the Indonesian population is rice, which has fluctuating prices in the market. Therefore, price forecasting is necessary so that the government can take preventive measures against rice price increases at certain times. Research on rice price forecasting using big data from Google Trends is still very rare in Indonesia, even though Google Trends has great potential to reflect the public's search popularity for certain keywords. Therefore, this study aims to forecast the monthly medium rice price in Indonesia at the milling level using exogenous variables of dried milled grain prices and the popularity index of related keywords on Google Trends. The forecasting is conducted using Seasonal Autoregressive Integrated Moving Average (SARIMA), SARIMA with Exogenous Variables (SARIMAX), and Extreme Gradient Boosting (XGBoost) models. The SARIMAX model has the best performance in forecasting rice prices, with a Root Mean Squared Error (RMSE) of 941.6933, Mean Absolute Error (MAE) of 817.9021, and Mean Absolute Percentage Error (MAPE) of 0.0620.
Co-Authors Arie Wahyu Wijayanto Eschachasthi, Realita Fakhriandi, Erdi Fitri Kartiasih Muchlisoh, Siti Rahmah, Aisyah ‘Azizah Nur Swardanasuta, I Bagus Putu Wahyuni, Ribut Nurul Tri