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All Journal Media Statistika Ekonomi Bisnis Analisis Kebijakan Pertanian Media Trend: Berkala Kajian Ekonomi dan Studi Pembangunan Jurnal Ilmiah Ekonomi dan Bisnis Inovasi : Jurnal Ekonomi, Keuangan, dan Manajemen JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) Jurnal Pendidikan Lingkungan dan Pembangunan Berkelanjutan Jurnal Varian Analisis Kebijakan Pertanian Ruwa Jurai: Jurnal Kesehatan Lingkungan Jurnal Ekonomi Bisnis, Manajemen dan Akuntansi (JEBMA) Optimum: Jurnal Ekonomi dan Pembangunan
Fitri Kartiasih
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MEMANFAATKAN MODEL SARIMA DAN REGRESI VEKTOR UNTUK PRAKIRAAN CURAH HUJAN BULANAN DI KOTA BANDUNG Astri Nur Innayah; Dwi Intan Sulistiana; M. Yandre Febrian; Fitri Kartiasih
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 10 No. 2 (2024)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol10.iss2.2024.1663

Abstract

As one of the largest cities in Indonesia, Bandung has varying monthly rainfall intensity. High rainfall is very dangerous for people's lives and will have an impact on various sectors such as agriculture, fisheries, tourism, and transportation. For this reason, rainfall prediction is needed as an effort for the government to make policies and the community can anticipate the possibility of high rainfall that occurs. This study compares the effectiveness of SARIMA and Support Vector Regression (SVR) models in predicting monthly rainfall objectively, with the aim of improving decision making for stakeholders. Forecasting rainfall data is carried out based on the best method of the two methods that have been compared. The results showed that the SARIMA method outperformed the SVR method in forecasting precision, as seen from the lower RMSE value of 93.2045. The results provide valuable insights into weather prediction methodologies, benefiting authorities and the public.
Analisis Pengaruh Harga Minyak Mentah dan Nilai Tukar terhadap Indeks Harga Saham Gabungan (IHSG) di Indonesia Adinda Ayu Pramesthi; Dhevri Leonardo Hutajulu; Nasya Zahira Putri; Fitri Kartiasih
Jurnal Ekonomi Bisnis, Manajemen dan Akuntansi (JEBMA) Vol. 4 No. 1 (2024): Artikel Riset Maret 2024
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jebma.v4i1.3451

Abstract

Penelitian ini dilakukan untuk menganalisis pengaruh harga minyak mentah dan nilai tukar terhadap indeks harga saham gabungan (IHSG) di Indonesia menggunakan Error Correction Model (ECM). Indonesia sebagai negara berkembang memerlukan penelitian terkait hal ini untuk mengkaji pengaruh simultan antara harga minyak dan nilai tukar terhadap kondisi pasar saham yang direpresentasikan oleh indeks harga saham gabungan. Studi ini menggunakan data bulanan harga minyak mentah, kurs nominal rupiah terhadap dolar AS, dan IHSG dari Januari 2018 sampai Oktober 2023. Hasil penelitian menunjukkan bahwa harga minyak mentah, IHSG, dan nilai tukar terbukti memiliki hubungan jangka panjang ditandai dengan adanya kointegrasi yang signifikan. Harga minyak mentah dan nilai tukar terbukti signifikan mempengaruhi indeks harga saham gabungan secara simultan, baik dalam jangka panjang maupun jangka pendek. Estimasi model jangka panjang dan jangka pendek menunjukkan bahwa IHSG secara signifikan negatif dipengaruhi oleh nilai tukar. Dibutuhkan waktu 1 bulan untuk pertumbuhan IHSG mencapai keseimbangan jangka panjang. Hasil penelitian diharapkan dapat memberikan referensi bagi investor dalam pengambilan keputusan investasi yang dilakukan. Hasil penelitian ini diharapkan memberikan gambaran kepada pemerintah tentang pentingnya variabel makroekonomi, sehingga pemerintah tidak hanya mempertimbangkan pengaruh satu variabel saja dalam membuat keputusan terkait perekonomian Indonesia. Bagi Bank Indonesia hendaknya menetapkan kebijakan moneter yang efektif dengan meminimalkan dampak buruk harga minyak dan nilai tukar terhadap indeks harga saham gabungan.
Factors affecting poverty using a geographically weighted regression approach (case study of Java Island, 2020) Bernica Tiyas Belantika; Bagus Rohmad; Hawa Dwi Nur Arandita; David R. Hutasoit; Fitri Kartiasih
Optimum: Jurnal Ekonomi dan Pembangunan Vol. 13 No. 2 (2023)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/optimum.v13i2.7993

Abstract

Poverty is still the main problem in development both at the national and regional levels. The poverty reduction program carried out has not paid attention to spatial aspects so that the policies taken are often not on target. This study aims to see the spatial pattern of poverty in Java Island which includes Banten, DKI Jakarta, West Java, Central Java, DI Yogyakarta and East Java. The method used is geographically weighted regression (GWR) with addiptive weighting of the Gaussian Kernel which is processed with QGIS, Geoda and GWR4 software. This approach can identify spatial patterns that cannot be identified in ordinary regression analysis as found in previous studies. The data used in this study is secondary data in 2020 sourced from the Badan Pusat Statistik (BPS) and government website. The results of the study showed positive and group spatial autocorrelation in 34 districts/cities. There are 65 districts/cities in Java Island only affected by HDI, 4 districts/cities affected by TPT and HDI, 47 districts/cities affected by MSEs and HDI, and 3 districts/cities affected by TPT, UMK and HDI.  The government can improve the quality of education, the level of public health services, and provide job training to reduce poverty.
CONFIDENCE SHOCKS IN EMERGING MARKETS AND THEIR GLOBAL CONTAGION: INSIGHTS FROM G-CUBED SIMULATIONS Wahyuni Andriana Sofa; Ribut Nurul Tri Wahyuni; Fitri Kartiasih
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.
Examining the Impact of Energy Use, Economic Growth, and Forest Area on CO2 Emissions: Consequences for Achieving the SDGs Mutiara Friska Amalia; Raihan Rahmanda Junianto; Fitri Kartiasih; Rizky Rahmadani
Jurnal Ilmiah Pendidikan Lingkungan dan Pembangunan Vol 25 No 02 (2024): PLPB: Jurnal Pendidikan Lingkungan dan Pembangunan Berkelanjutan, Volume 25 Nom
Publisher : Program Studi Pendidikan Kependudukan dan Lingkungan Hidup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/plpb.v25i02.42230

Abstract

Climate change can be caused by both natural and human activities. Human activities are the main factor causing climate change that is getting worse such as deforestation, industrialization, transportation, and so on. Climate change that occurs continuously can cause various health risks, global food security, decreased biodiversity, and environmental damage to economic development. Climate change also needs to be studied in the application of SDGs to realize sustainable development targets. The purpose of this study is to examine the relationship between economic growth, energy consumption, and forest area to CO2 emissions in Indonesia from 1990-2022 and find out what the implications are with the achievement of SDGs on climate change. This study applies the VECM analysis method to get an overview of the long-term balance and short-term relationship of the four variables. The results obtained are that forest area only affects CO2 emissions in the long term, while economic growth only affects CO2 emissions in the short term. Meanwhile, the energy consumption variable affects CO2 emissions in both the short and long term. Therefore, handling from various parties and policies from the government are needed to realize environmentally friendly development to achieve sustainable development goals in the future.
Integration of Remote Sensing Data and Official Statistics: Spatial Analysis of Environmental, Social, And Basic Access Dimensions on Infant Mortality in Eastern Indonesia, 2022 Fais Jefli; Avril Irene Hutauruk; Kezia Dianrani Hutagalung; Muh Yusuf. S; Nadine Rolanda Cantika; Nurul Izzah; Fitri Kartiasih
Ruwa Jurai: Jurnal Kesehatan Lingkungan Vol. 20 No. 1 (2026)
Publisher : Poltekkes Kemenkes Tanjung Karang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26630/rj.v20i1.5551

Abstract

In 2022, Eastern Indonesia continued to experience a relatively high infant mortality rate (IMR) compared to the national average, with several regions in Papua categorized as having high IMR levels. This situation highlights the urgency of identifying the underlying determinants. Various dimensions, including environmental, social, and access-to-basic-services factors, are important to investigate. However, since environmental variables are not available in official statistical data, remote sensing data were utilized as an alternative source. This study integrates official statistical data and remote sensing data to identify the determinants of IMR. The remote sensing data were obtained through Google Earth Engine script processing. Preliminary modeling indicated the presence of spatial heterogeneity; therefore, a Geographically Weighted Regression (GWR) approach was employed to examine the local variation in the effects of each independent variable. Based on the significance mapping of model parameters, substantial spatial variation in IMR was observed across Eastern Indonesia. The GWR results indicate that environmental variables were generally not the dominant factors contributing to higher IMR, as most local coefficients reflected infrastructure disparities. The only environmental variable that consistently showed a significant effect was Land Surface Temperature (LST). In contrast, social conditions and access to basic services played a more substantial role in explaining variations in IMR across Eastern Indonesia. Barriers to healthcare access, low levels of welfare, and limited infrastructure were identified as the main factors contributing to the high infant mortality rates in Eastern Indonesia in 2022.
Co-Authors Adi Setiawan Adi Setiawan Adinda Ayu Pramesthi Aqsal Rizky Ramadhani Astri Nur Innayah Avril Irene Hutauruk Bagus Rohmad Bernica Tiyas Belantika christian Putra ginting David R. Hutasoit Dhea Prawidia Dhevri Leonardo Hutajulu Dwi Intan Sulistiana Fais Jefli Hawa Dwi Nur Arandita Kezia Dianrani Hutagalung Kurnia Anisya Fitri Lidya Zhafirah M. Yandre Febrian Muh Yusuf. S Mutiara Friska Amalia Nadine Rolanda Cantika Nasya Zahira Putri Nurul Izzah Nurzikri Saputra Pikata Aselnino Raihan Rahmanda Junianto Ribut Nurul Tri Wahyuni Rizky Rahmadani Uma Sahu Wahyuni Andriana Sofa yeny puspita ningsih