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All Journal Prosiding Seminar Nasional Official Statistics PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND OFFICIAL STATISTICS
Lita Jowanti
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Humanities Computer Science & IT Economics, Econometrics & Finance Social Sciences

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PEMANFAATAN BIG DATA DALAM MEMPREDIKSI HARGA SAHAM DI ERA NEW NORMAL Atika Kautsar Ilafi; Lita Jowanti; Annisa Nur Fadhilah
Seminar Nasional Official Statistics Vol 2020 No 1 (2020): Seminar Nasional Official Statistics 2020
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (983.624 KB) | DOI: 10.34123/semnasoffstat.v2020i1.542

Abstract

Pemberlakukan Pembatasan Sosial Berskala Besar untuk mencegah penyebaran virus COVID-19 di Indonesia menimbulkan konsekuensi perlambatan perekonomian. Ekonomi Indonesia pada kuartal II 2020 mengalami kontraksi ekonomi sebesar minus 5,32 persen dibandingkan kuartal II tahun sebelumnya. Kontraksi ini menjadi yang pertama sejak 1999 silam jika dilihat secara tahunan atau year on year. Peran investasi diperlukan sebagai salah satu upaya untuk menopang perekonomian terutama dalam masa New Normal. Namun, kinerja Indeks Harga Saham Gabungan (IHSG) mengalami tren penurunan akibat sentimen negatif dari pandemi yang melanda dunia. Tujuan dari penelitian ini adalah melakukan peramalan terhadap harga saham harian per sektor menggunakan metode Fuzy Time Series dengan bahasa pemrograman phyton agar para investor dapat memprediksi kenaikan atau penurunan harga saham di masa new normal. Hasilnya menunjukkan sektor saham yang perkembangannya pesat setelah sempat mengalami penurunan drastis di masa awal pandemi yaitu sektor saham perusahaan pertanian, sektor saham perusahaan industry dasar dan kimia, dan sektor saham perusahaan perdagangan, jasa, dan investasi.
The Potential of Palm Oil as An Economic Recovery in Central Kalimantan in The Era of A Pandemic: Typology Klassen Analysis Annisa Nur Fadhilah; Lita Jowanti; Atika Kautsar Ilafi
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2021 No. 1 (2021): Proceedings of 2021 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.v2021i1.150

Abstract

Palm oil is one of Central Kalimantan's leading commodities. With a plantation area of almost two million hectares. Central Kalimantan is capable of producing up to eight million tons of palm oil annually. During the pandemic, Central Kalimantan's economy experienced the deepest contraction of up to 3.17 percent due to restrictive policies to prevent the spread of the virus. According to Statistics of Indonesia, the agriculture, forestry, and fisheries sectors are the most resilient sectors because they can grow positively amid a pandemic. The palm oil commodity could be a solution for boosting the economy of Central Kalimantan through appropriate management strategies. One strategy in recovering from the impact of the pandemic is through Small and Medium Enterprise's innovation. Based on the Klassen Typology analysis, Pulang Pisau Regency has the biggest potential for developing oil palm SMEs (quadrant I). In addition, Palangka Raya City and Kapuas Regency are in quadrant IV, which means they have the highest number of SMEs. However, their economic growth has contracted.
Analysis of Government Policy in Handling Covid-19 in Indonesia Atika Kautsar Ilafi; Annisa Nur Fadhilah; Lita Jowanti
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2021 No. 1 (2021): Proceedings of 2021 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.v2021i1.152

Abstract

The Covid-19 pandemic has affected the economy in many countries, including Indonesia. Until July 2021, the Government has implemented social activity policies for the community, starting from Large-Scale Social Restrictions in the first semester of last year to PPKM Level 4 to stop the spread of Covid-19. Responding to the Covid-19 pandemic, Google released data from people who access google applications using mobile devices. The Google Mobility report shows changes in population activity and mobility in several locations. This study aims to examine the effect of the PSBB and PPKM policies in Indonesia on the decline in COVID-19 cases in Indonesia using the Google Mobility Index and their impact on the economy in Indonesia. The analysis uses graphs and Pearson Correlation and Long Short-Term Memory (LSTM) method to predict Covid-19 cases and mobility data. The result shows that the mobility of people to five places has a significant effect on the number of daily cases of Covid-19, while there is a significant effect on three places of community mobility on Indonesian economic. As the results, controlling the spread of Covid-19 is better prioritized than economic condition.
Co-Authors Annisa Nur Fadhilah Atika Kautsar Ilafi Atika Kautsar Ilafi