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All Journal IJBE (Integrated Journal of Business and Economics) Jambura Journal of Mathematics Jurnal Pengabdian Kepada Masyarakat (Mediteg) Jurnal Pasopati : Pengabdian Masyarakat dan Inovasi Pengembangan Teknologi
Ineu Sulistiana
Mathematics Department, Faculty Of Technic, Universitas Bangka Belitung
Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics Social Sciences

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Model Vector Auto Regression (VAR) and Vector Error Correction Model (VECM) Approach for Inflation Relations Analysis, Gross Regional Domestic Product (GDP), World Tin Price, BI Rate, and Rupiah Exchange Rate Ineu Sulistiana
Integrated Journal of Business and Economics (IJBE) Vol 1, No 2 (2017): Integrated Journal of Business and Economics
Publisher : Fakultas Ekonomi, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (442.94 KB)

Abstract

This study aims to analyze the relationship of causality of inflation, Gross Regional Domestic Product, BI rate, rupiah exchange rate to US dollar and world Tin price as one of superior commodity of Bangka Belitung Province through VAR (Vector Autoregressive) model and VECM (Vector Error Correction Model), followed by lRF (Impulse Response Function) and Variance Decomposition testing on the model to see the largest contribution of macroeconomic variables in terms of price stabilization. Based on test, estimation and model examination, VECM (1) is obtained as the best model to explain inflation causality, BI rate, rupiah exchange rate to US dollar and world Tin price, while VAR (2) is the best model to explain causal relationship of Gross Regional Domestic Product, BI rate, rupiah exchange rate to US dollar and world Tin price. The model results explain that there is a long-term causality relationship between variables, whereas the short-term causality relationship in the VECM (1) through the Granger causality test shows that the variable of granger causes inflation cause BI rate, while in VAR (2) causality between Gross Regional Domestic Product and other macro variables. Structural analysis on the VECM (1) through the analysis of variance decomposition obtained the result that the BI rate is the dominant variable contributing fluctuations in inflation, whereas, in the VAR (2), the world Tin price is the dominant variable contributing fluctuation in Gross Regional Domestic Product. 
PENINGKATAN KETERAMPILAN GURU MELALUI PELATIHAN PENULISAN KARYA ILMIAH, PENGUASAAN SOFTWARE STATISTIC DAN PENGETAHUAN PLAGIARISM CHECKER Ineu Sulistiana
Jurnal Pengabdian Kepada Masyarakat (MEDITEG) Vol 5 No 2 (2020): Jurnal Pengabdian Kepada Masyarakat (MEDITEG)
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat (P3M) Politeknik Negeri Tanah Laut (Politala)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/mediteg.v5i2.75

Abstract

Berdasarkan Peraturan Menteri Pendayagunaan Aparatur Negara Reformasi Birokrasi (Permenpan-RB) Nomor 16 Tahun 2009 mengharuskan guru membuat karya ilmiah dan berinovasi dan melakukan pengembangan diri. Penguasaan teknologi informasi, kemauan dan kemampuan menulis guru yang masih rendah merupakan beberapa faktor penghambat dalam kegiatan pengembangan profesi guru khususnya dalam penulisan karya ilmiah. Kegiatan pengabdian ini dilakukan untuk memfasilitasi pengembangan profesi guru melalui pelatihan karya tulis ilmiah, pengenalan software statistic serta pengenalan pengetahuan tentang plagiarism checker. Berdasarkan hasil pre test dan post test sebagai tahapan evaluasi kegiatan pengabdian yang melibatkan guru-guru SMP dan SMA Negeri di Kecamatan Merawang dan Kota Pangkalpinang, menunjukkan bahwa kegiatan pengabdian ini sangat bermanfaat dan sangat dibutuhkan oleh para peserta dalam pengembangan profesi guru
PEMBELAJARAN MATEMATIKA BERBASIS MULTIMEDIA DI MTS SABILUL MUHTADIN KABUPATEN BANGKA Euis Asriani; Ineu Sulistiana
Jurnal Pasopati : Pengabdian Masyarakat dan Inovasi Pengembangan Teknologi Vol 4, No 2 (2022)
Publisher : Fakultas Teknik Universitas Diponegoro

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Abstract

Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan motivasi siswa MTS Sabilul Muhtadin dalam pembelajaran matematika berbasis multimedia. Pendekatan ini dipilih dengan tujuan untuk menyajikan pembelajaran dalam bentuk yang menyenangkan, menarik, mudah dimengerti, dan jelas. Adapun peserta kegiatan adalah siswa kelas VIII yang berjumlah 30 (tiga puluh) orang. Untuk mengetahui efektifitas pendekatan ini disebarkan angket/kuesioner sesudah pembelajaran dilaksanakan. Data yang terkumpul selanjutnya dianalisis menggunakan statistika deskriptif dalam bentuk diagram pie. Pada aspek kepuasan pelaksanaan pembelajaran, persentase tertinggi terletak pada  kelompok yang merasa puas yakni sebesar 70%. Pada aspek ketertarikan terhadap pembelajaran, sebanyak 66.67% menyatakakan sangat tertarik terhadap pembelajaran berbasis multimedia. Adapun pada aspek motivasi, semangat, dan keaktifan, persentase tertinggi terdapat pada kelompok termotivasi, semangat, dan aktif, yakni masing-masing sebesar 60%.  Melalui kegiatan ini dapat disimpulkan bahwa pelaksanaan pembelajaran matematika berbasis multimedia secara umum menumbuhkan kepuasan, ketertarikan, semangat, keaktifan,  motivasi belajar, dan pemahaman siswa.Kata kunci : Pembelajaran, Matematika, Multimedia, Sabilul Muhtadin  
Prediksi Spot Price Komoditas Emas Berjangka dengan Pendekatan Vector Error Correction Model Izma Fahria; Desy Yuliana Dalimunthe; Ririn Amelia; Ineu Sulistiana; Baiq Desy Aniska Prayanti
Jambura Journal of Mathematics Vol 5, No 2: August 2023
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jjom.v5i2.18737

Abstract

Time series data usually exhibit non-stationary behavior and involve interrelated variables. Thus, we need a model that can obtain good forecasting results from non-stationary time series data with multivariate variables. The Vector Error Correction Model (VECM) is a multivariate time series model which is a vector form of Vector Autoregressive Regression (VAR) for time series data that are non-stationary and have a cointegration relationship. This research was conducted to model the cointegration relationship in providing clarity on the long-term relationship of the influence of future prices and the Covid-19 pandemic on price movements of gold futures commodities and to predict spot price prediction modeling for gold futures commodities. The results of the research using the VECM (2) model, which is the best model, show that the future price of the gold commodity is quite dominant in influencing the value of the spot price of gold. The Covid-19 variable does not have a significant effect on the spot gold price variable.
Co-Authors Baiq Desy Aniska Prayanti Desy Yuliana Dalimunthe Euis Asriani Izma Fahria Ririn Amelia