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All Journal Media Statistika Analisis Kebijakan Pertanian Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) 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 Varian Analisis Kebijakan Pertanian Jurnal Ekonomi Bisnis, Manajemen dan Akuntansi (JEBMA) Optimum: Jurnal Ekonomi dan Pembangunan
Fitri Kartiasih
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Social Sciences Other

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Determinants of Under-five Mortality Due to Pneumonia: A Negative Binomial Regression Analysis Dhea Prawidia; Lidya Zhafirah; Nurzikri Saputra; Fitri Kartiasih; Uma Sahu
Jurnal Varian Vol 7 No 1 (2023)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v7i1.2768

Abstract

Pneumonia is one of the main causes of under-five mortality in Indonesia. In under-fives, pneumonia is the number one killer in the world. Meanwhile, in Indonesia, it ranks second after diarrhea. On average, the disease affects half a million children a year. This study aims to identify and analyze the risk of variables that affect the number of under-five mortality due to pneumonia in Indonesia in 2021. The novelty of this research focuses on the macro variables used, making it easier for policy makers to make decisions. The research method used is negative binomial regression. The results showed that the highest number of under-five mortality due to pneumonia was in Central Java Province. Meanwhile, the lowest was in Jambi Province, South Sumatra, Riau Islands, DKI Jakarta, North Kalimantan, Southeast Sulawesi, and Papua. The per capita income significantly reduces the number of under-five mortality due to pneumonia, while the number of under-fives with severe pneumonia significantly reduces the number of under-five mortality due to pneumonia in Indonesia. The government needs attention to reduce the death rate of children under five due to pneumonia by providing social protection in the fields of health and education for underprivileged communities.
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 (JITTER) 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.
Co-Authors Adi Setiawan Adi Setiawan Adinda Ayu Pramesthi Aqsal Rizky Ramadhani Astri Nur Innayah Bagus Rohmad Bernica Tiyas Belantika christian Putra ginting David R. Hutasoit Dhea Prawidia Dhevri Leonardo Hutajulu Dwi Intan Sulistiana Hawa Dwi Nur Arandita Kurnia Anisya Fitri Lidya Zhafirah M. Yandre Febrian Nasya Zahira Putri Nurzikri Saputra Pikata Aselnino Uma Sahu Wanda Pribadi yeny puspita ningsih