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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnal Aplikasi Statistika & Komputasi Statistik East Java Economic Journal
Siti Muchlisoh
Politeknik Statistika STIS
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Mathematics Social Sciences

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Sea Toll: A Way to Save The Economic of East Indonesia Through East Java Mohammad Ammar Alwandi; Dewi Widyawati; Siti Muchlisoh
East Java Economic Journal Vol. 4 No. 2 (2020)
Publisher : Kantor Perwakilan Bank Indonesia Provinsi Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1044.566 KB) | DOI: 10.53572/ejavec.v4i2.37

Abstract

East Java is part of the international global supply chain and the gateway of trade to eastern Indonesia. East Java became the center of trade links to East Indonesia where this connection was strengthened by Tol Laut which is a subsidized cruise to and from Eastern Indonesia. The Covid-19 pandemic that infected East Java led to a decrease in people’s purchasing power and caused the trade sector to contract. This economic contraction caused shock in supply and demand. This research aims to explore the potential of East Java to rebound from economic contraction due to the Covid-19 pandemic. The analysis methods used are descriptive analysis and inference analysis using the panel’s spatial regression analysis method. As a result of this study, Tol Laut is a solution to resurrect and save the economy in Eastern Indonesia by lowering transportation costs thus refueling interregional trade.
Estimasi Produktivitas Padi Level Kecamatan di Kabupaten Tulungagung Menggunakan Geoadditive SAE Garinca Firgiana Santoso; Siti Muchlisoh
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 12 No 3 (2020): Jurnal Aplikasi Statistika dan Komputasi Statistik Edisi Khusus
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/jurnalasks.v14i1.385

Abstract

Paddy productivity data is one of the benchmarks for the government to audit the success of local food self-sufficiency program. Paddy productivity data is used to calculate paddy production in a region. Local government needs paddy production data at sub-district level to identify local food supply for the population. However, the estimation of paddy production data at sub-district level is constrained by the absence of paddy productivity data at sub-district level. BPS presents the data at regency level only. This research aims to estimate paddy productivity at sub-district level in Tulungagung Regency in 2019 using geoadditive small area estimation, evaluate the accuracy of the estimation using Root Mean Square Error (RMSE) and Relative Standard Error (RSE), and identify the rice surplus-deficit at sub-district level. Analysis method being used was inferential analysis using indirect estimation by geoadditive SAE. The estimation showed that the highest paddy productivity was in Pucanglaban Sub-district (8,8648 ton/ha), while the lowest paddy productivity in Pagerwojo Sub-district (3,6576 ton/ha). The use of geoadditive SAE gave more precision to the estimation because it produced smaller RMSE and RSE than direct estimation method. The estimation also showed that major sub-districts of Tulungagung Regency experienced surplus in rice during 2019, but there were also six sub-districts which suffered deficit in rice.
Social Network Analysis untuk Identifikasi Pengguna Twitter Berpengaruh pada Topik Bencana Gempa dan Tsunami di Indonesia Ibnu Santoso; Siskarossa Ika Oktora; Siti Muchlisoh; Ernawati Pasaribu
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 9, No 1 (2023): Volume 9 No 1
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v9i1.62211

Abstract

Indonesia merupakan negara yang rawan terjadi bencana alam seperti gempa dan tsunami. Seiring dengan perkembangan teknologi, arus informasi mengenai kebencanaan juga mengalir di media sosial seperti Twitter. Penggunaan Twitter dalam kaitannya dengan kebencanaan telah banyak diteliti antara lain untuk penyebarluasan informasi, alat manajemen dan pengurangan resiko, pemantauan aktivitas tanggap darurat, dan lain-lain. Penelitian ini bertujuan untuk mengidentifikasi pengguna twitter berpengaruh khusus untuk topik bencana gempa dan tsunami di Indonesia dengan menggunakan Social Network Analysis (SNA) dengan dan tanpa mempertimbangkan faktor frequency dan engagement. Hasil SNA tanpa mempertimbangkan faktor frequency dan engagement menunjukkan bahwa pengguna Twitter yang dinilai paling berpengaruh pada topik bencana gempa dan tsunami adalah situs berita seperti detikcom dengan influence score sebesar 0,77. Sedangkan jika mempertimbangkan faktor frequency dan engagement menunjukkan bahwa pengguna Twitter yang dinilai paling berpengaruh pada topik bencana gempa dan tsunami adalah akun infoBMKG dengan indeks influence score sebesar 0,63. Berdasarkan hasil penelitian ini ditemukan bahwa BMKG telah berperan penting dalam pemberian informasi mengenai bencana gempa bumi dan tsunami di Indonesia dan mendapatkan kepercayaan luas dari masyarakat yang ditunjukkan dengan adanya engagement yang lebih tinggi dibandingkan akun lainnya.
Co-Authors Dewi Widyawati Ernawati Pasaribu Garinca Firgiana Santoso Ibnu Santoso Mohammad Ammar Alwandi Siskarossa Ika Oktora