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Study of the Digitalization for the Labor Market Zata Hasyyati; Jodi Hendrawan; Fauzul Azman
Proceeding of The International Conference on Business and Economics Vol. 1 No. 1 (2023): Proceeding of The International Conference on Business and Economics
Publisher : Universitas 17 Agustus 1945 Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56444/icbeuntagsmg.v1i1.651

Abstract

The discovery of various efficient technologies has become a benchmark in development in all sectors. Artificial Intelligence (AI) and the Internet of Things (IoT) are growing rapidly. This study aims to determine the analysis of the technological adaptability of countries in the world and its comparison to readiness in Indonesia. This is because the ability to adapt technology has a close relationship to the economy in a country, both in terms of economic contribution and the labor market sector. This research uses data with parameters such as Gross Market Value (GMV), Global Connectivity Index (GCI), and GDP. As well as data on industry development in Indonesia. This research was conducted with a descriptive analysis method that uses content analysis steps to interpret the results of existing statistical exposure. The results of the research analysis show that a very significant government policy today is an investment in technology and communication infrastructure. Then to boost the economy, financing is the most needed factor today. Readiness to meet the demographic bonus can be done by developing the digital skills of the workforce in all sectors. Therefore, infrastructure, financing, and scientific integration of technology are the most crucial policies today.
HOW IS THE MONETARY AND FISCAL POLICY RELATED TO INTERNATIONAL TRADE ? Rangkuty, Dewi Mahrani; Nasution, Lia Nazliana; Hasyyati, Zata; Siregar, Sulisna Dewi; Firmansyah, Didi
International Conference on Humanity Education and Society (ICHES) Vol. 3 No. 1 (2024): Third International Conference on Humanity Education and Society (ICHES)
Publisher : FORPIM PTKIS ZONA TAPAL KUDA

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

Abstract

Policymakers have grappled with issues arising from disparities in monetary, fiscal, and trade activities. Macroeconomists and policymakers employ fiscal and monetary policies as primary instruments to tackle these challenges. This study aims to describe how is the monetary and fiscal policy related to international trade. It is a descriptive qualitative research with a literature study method. Interest rates and money stand out as pivotal variables, garnering significant attention from Bank Indonesia due to their strong interaction with the government budget. The fiscal policy multiplier tends to be low in Indonesia.
The Monetary and Fiscal Policies on International Trade in Indonesia Rangkuty, Dewi Mahrani; Nasution, Lia Nazliana; Hasyyati, Zata; Siregar, Sulisna Dewi; Firmansyah, Didi
The Es Economics and Entrepreneurship Vol. 3 No. 01 (2024): The Es Economics And Entrepreneurship (ESEE)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esee.v3i01.297

Abstract

This study is to analyze how monetary and fiscal policies contribute to trade performance in Indonesia. The specific target of this study is to analyze the contribution and influence of variables such as exchange rate, inflation, trade balance, government expenditure, Tax, and investment in the short, medium and long term in Indonesia. So that it can show how much the contribution and influence of monetary and fiscal variables on trade performance in Indonesia. The results of this study explain that the largest contribution to the trade balance is the government expenditure and investment in the previous period, the largest contribution to inflation is the government expenditure and investment in the previous period, the largest contribution to government expenditure is the exchange rate and government expenditure itself in the previous period, the largest contribution to investment is government expenditure and investment itself in the previous period, the largest contribution to the exchange rate is the exchange rate itself and investment in the previous period, the largest contribution to Tax is government expenditure and exchange rate in the previous period.
Ekonomi Aset Digital: Analisis Sentimen Masyarakat Berbasis Leksikon Terhadap Kebijakan Kripto di Indonesia Hasyyati, Zata; Qausar, Haves; Yumni, Hazhiyah; Jannah, Miftahul
TIN: Terapan Informatika Nusantara Vol 6 No 1 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i1.7508

Abstract

This study analyzes the shift in public sentiment toward cryptocurrency regulation in Indonesia following policy implementation and identifies the role of cognitive biases in shaping public responses. The primary contribution of this research lies in the development of an integrative analytical framework that connects real-time social media data from X (formerly Twitter) with behavioral economics theory, alongside the formulation of evidence-based strategic recommendations. By applying text mining and lexicon-based sentiment analysis (InSet Lexicon), the study examines sentiment dynamics across two periods: pre-regulation (2009–2018), dominated by neutral sentiment (81.7%), and post-regulation (2019–2024), which exhibits a significant increase in negative sentiment (64.8%) alongside a fivefold growth in positive sentiment (31.7%). The findings reveal that cognitive mechanisms, such as loss aversion and status quo bias, amplify public resistance to new regulations. Policy implications include three innovative strategies: (1) redesigning communication using loss-avoidance framing, (2) enhancing financial literacy among younger generations, and (3) developing a more participatory regulatory sandbox. This study underscores the importance of adopting regulatory approaches that are responsive to public psychological dynamics and the prevailing low levels of financial literacy.
Model UML Sistem Informasi Monitoring Pembayaran SPP Siswa SMA Negeri 1 Binjai Jodi Hendrawan; Ika Devi Perwitasari; Zata Hasyyati; Deby Safitri Hasanah
Jurnal Minfo Polgan Vol. 13 No. 2 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v13i2.14270

Abstract

Penelitian ini merancang model sistem informasi monitoring pembayaran SPP berbasis UML untuk SMA Negeri 1 Binjai guna meningkatkan efisiensi dan akurasi pengelolaan administrasi keuangan sekolah. Model UML yang digunakan meliputi diagram use case, kelas, aktivitas, dan sekuens untuk memvisualisasikan komponen utama dan interaksi sistem, sehingga mempermudah pengembangan dan pemeliharaan sistem. Hasil penelitian menunjukkan bahwa model ini efektif dalam membantu pencatatan dan pelaporan pembayaran SPP secara akurat, memungkinkan akses yang mudah bagi siswa dan orang tua, serta meningkatkan transparansi administrasi. Tantangan seperti keamanan dan manajemen data diidentifikasi, dengan rekomendasi integrasi ke platform pembayaran digital dan penambahan fitur notifikasi otomatis.
THE EFFECT OF GOVERNMENT SPENDING IN THE HEALTH, EDUCATION AND SOCIAL PROTECTION SECTORS ON INCOME INEQUALITY IN INDONESIA Amanda Mahviza Harahap; Fanny Nailufar; Ichsan; Zata Hasyyati
Journal of Malikussaleh Public Economics Vol. 9 No. 1 (2026): JOURNAL OF MALIKUSSALEH PUBLIC ECONOMICS
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jompe.v9i1.26126

Abstract

This study aims to examine the effect of government spending in the health, education, and social protection sectors on income inequality in Indonesia. The data used in this study are secondary data in the form of a time series from 2005 to 2024 obtained from the Central Bureau of Statistics. The data analysis method uses multiple linear regression. The results show that government spending in the health sector has a negative and significant effect on income inequality in Indonesia. Government spending in the education sector has a positive and significant effect on income inequality in Indonesia. Government spending in the social protection sector does not have a significant effect on income inequality in Indonesia. Simultaneously, government spending in the health, education, and social protection sectors has a positive and significant effect on income inequality in Indonesia.
Workshop and Mentoring on the Development of Gamification Based Mathematics Learning Media for Junior High School Teachers in Lhokseumawe City Amam Taufiq Hidayat; Haves Qausar; Zata Hasyyati; Munzir Absa; Nur Elisyah; Tulus Setiawan
GANDRUNG: Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 2 (2026): GANDRUNG: Jurnal Pengabdian Kepada Masyarakat
Publisher : Fakultas Olahraga dan Kesehatan, Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/gandrung.v7i2.8320

Abstract

Mathematics learning in schools continues to encounter challenges, particularly related to low student engagement and learning motivation. One contributing factor is the limited utilization of innovative learning media in classroom instruction. Gamification offers an alternative approach by integrating game elements into learning activities to enhance students’ interest in mathematics learning. Nevertheless, teachers in the Junior High School Mathematics Teachers’ Working Group (MGMP) of Lhokseumawe City still face difficulties in developing and implementing gamification-based learning media. Therefore, this community service program aimed to enhance teachers’ pedagogical understanding and technical skills in developing gamified mathematics learning media. The program was conducted on May 15–17, 2026, involving 20 junior high school mathematics teachers and 2 Mathematics Education students as technical assistants. The implementation employed a participatory workshop and mentoring approach consisting of training sessions, media development workshops, learning simulations, and evaluation activities. Participants were guided in developing learning media using digital platforms such as Quizizz, Wordwall, Kahoot, and Gimkit. The results demonstrated that participants were able to develop gamification based mathematics learning media and improve their understanding of gamification concepts, digital platform utilization, and interactive media development. Furthermore, the program strengthened teachers’ motivation and confidence in integrating digital technology into mathematics instruction.
REGENERASI PETANI: DAMPAK AGEING FARMERS DAN MODAL MANUSIA TERHADAP PRODUKTIVITAS PADI DI INDONESIA Zata Hasyyati
Jurnal Ekonomi Pertanian Unimal Vol. 8 No. 2 (2025): JURNAL EKONOMI PERTANIAN UNIMAL
Publisher : LPPM Universitas Malikussaleh - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jepu.v8i2.26039

Abstract

The Indonesian agricultural sector faces structural challenges in the form of a regeneration crisis and an aging farming workforce (aging farmers). This study aims to analyze the impact of aging farmers and human capital quality (High School/Equivalent education) on rice productivity in Indonesia during the 2013-2024 period. By employing dynamic regression analysis through First Difference (FD) transformation and the inclusion of a lagged dependent variable, this study seeks to mitigate the risk of spurious regression in time series data. The estimation results indicate that the aging farmers phenomenon has a significant negative impact on rice productivity at the 10% significance level, with a coefficient of -2.58. Conversely, the human capital variable (High School+ education) does not show a statistically significant effect, indicating a skill mismatch phenomenon in rural areas. The model has passed all classical assumption tests, including normality, multicollinearity, heteroscedasticity, and autocorrelation. These findings provide important implications for policymakers: efforts to increase national food productivity cannot rely solely on physical inputs and formal education but must target youth farmer regeneration programs accompanied by specific and adaptive agricultural vocational training for modern technology.
Structural Change Detection and Forecasting of Indonesia's Tourism-Related Output Using PELT and SARIMA Intervention Models Haves Qausar; Zata Hasyyati
International Journal of Management Science and Information Technology Vol. 6 No. 2 (2026): July - December 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i2.8180

Abstract

Quarterly tourism-related output is seasonal and highly vulnerable to structural disruptions, so models fitted to stable historical patterns may fail after shocks. This study detects changepoints and compares forecasting models for Indonesia's real GDP in Accommodation and Food Service Activities, used as a proxy for tourism-related economic output. The dataset comprised 50 quarterly observations at constant 2010 prices from 2013Q1 to 2025Q2. PELT was applied to detrended, seasonally adjusted log-training residuals. Ordinary SARIMA, SARIMA models with pulse and step interventions, six exponential-smoothing specifications, and a seasonal-naive benchmark were screened using training AICc, 16 rolling one-step validation origins, and an untouched ten-quarter fixed test. PELT identified 2017Q2, 2020Q2, and 2022Q1 as changepoints, with 2020Q2 remaining the most robust under stronger penalties. SES achieved the smallest rolling-validation RMSE (6,283.9), while the pulse-plus-temporary-step SARIMA intervention was best within its family (RMSE 6,917.4). On the fixed 2023Q1-2025Q2 test, SARIMA (0,1,1) × (0,0,0)₄ performed best overall, with MAE of Rp5,301.9 billion, RMSE of Rp6,131.6 billion, sMAPE of 5.23%, and MASE of 1.016. For the selected baseline SARIMA, residual autocorrelation and ARCH effects were not significant; the intervention model, however, retained significant residual autocorrelation. Residuals were non-normal across the retained models, and the baseline SARIMA underpredicted the later recovery. PELT provided structural diagnosis, but explicit intervention effects did not guarantee superior holdout forecasts. Parsimonious SARIMA provides the most defensible baseline, supplemented by changepoint monitoring and scenario-based intervention analysis.
DINAMIKA HARGA, KONSUMSI, DAN NILAI IMPOR BERAS TERHADAP PRODUKSI PADI DI INDONESIA Kania Putri; Noviami Trisniarti; Asnawi; Zata Hasyyati
Jurnal Ekonomi Pertanian Unimal Vol. 9 No. 1 (2026): JURNAL EKONOMI PERTANIAN UNIMAL
Publisher : LPPM Universitas Malikussaleh - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jepu.v9i1.29427

Abstract

his study aims to analyze the dynamics of rice prices, rice consumption per capita, and the value of rice imports on rice production in Indonesia. The data used in this study is annual time series data for 35 years, from 1990 to 2024. The analysis used the Autoregressive Distributed Lag (ARDL) approach. The results of the study show that in the short term, the price of rice in the current period and the third period has a significant effect on rice production, while the price of rice in the first and second periods does not have a significant effect. Per capita rice consumption in the current period has a significant effect on rice production. Meanwhile, the value of rice imports in the current period, the first and second periods had a significant effect, while the third period did not have a significant effect on rice production. In the long term, rice prices, rice consumption per capita, and the value of rice imports have a significant effect on rice production in Indonesia.