Article Per Year (5 Year)
p-Index From 2021 - 2026
0.778
P-Index
This Author published in this journals
All Journal Indonesian Journal Economic Review (IJER) UNP Journal of Statistics and Data Science Indonesian Journal of Innovation Multidisipliner Research KREATIF: Jurnal Pengabdian Masyarakat Nusantara
Nayla Desviona
Universitas Muhammadiyah Jambi
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Peningkatan Literasi Digital dan Analisis Data UMKM Melalui Pelatihan SPSS bagi Wirausaha Muda Nayla Desviona; Marwah Masruroh; Lizabeth Sari Dewi; Asramid Yasin
KREATIF: Jurnal Pengabdian Masyarakat Nusantara Vol. 5 No. 2 (2025): Jurnal Pengabdian Masyarakat Nusantara
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/kreatif.v5i2.5815

Abstract

Micro, Small and Medium Enterprises (MSMEs) are the backbone of the national economy that continues to show significant growth, especially among the younger generation. The high entrepreneurial spirit encourages many generations to start businesses with creative ideas that are relevant to the times. However, behind the growth of MSMEs, there are still many challenges that must be faced by business actors. One of the main challenges is the lack of ability to manage and analyze data systematically. This community service activity aims to improve the digital literacy and data analysis skills of MSME players, especially the younger generation who are starting a business by utilizing SPSS as an analysis tool. Through practice-based training conducted online through Zoom Meeting involving 40 participants from the younger generation who are starting a business on February 15, 2025. The results of this service showed that participants not only gained a theoretical understanding of the importance of data analysis in making business decisions, but also basic technical skills in operating SPSS. This shows that digital practice-based training has a significant impact in improving their readiness to apply SPSS in managing their business and the competitiveness of MSMEs. Thus, this activity is not only an educational event, but also triggers awareness of the importance of a data-driven approach in dealing with market dynamics.
An Analysis of the Role of Fiscal Policy in Controlling CO2 Emissions in the Industrial Sector in Indonesia Viola Novaryca; Nayla Desviona; Lizabeth Sari Dewi; Asramid Yasin
Indonesian Journal Economic Review (IJER) Vol. 6 No. 2 (2026): June
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ijer.v6i2.803

Abstract

Climate change and the growing dependence on fossil fuels have intensified the challenge of aligning Indonesia’s industrial development with its emission reduction commitments. This study analyzes the role of fiscal policy in controlling CO₂ emissions in Indonesia’s industrial sector during the period 2010–2023, with a particular focus on three fiscal instruments: carbon taxation, fossil fuel subsidies, and government expenditure on the energy and environmental sectors. Using a descriptive-analytical approach based on secondary time-series data from national greenhouse gas inventories, state budget documents, government reports, and international energy publications, this study compares the dynamics of industrial CO₂ emissions with the development of fiscal policy instruments. The findings show that industrial CO₂ emissions generally increased throughout the observation period, with a temporary decline during the COVID-19 pandemic and a sharp rebound in 2022–2023. This increase was closely associated with the expansion of energy-intensive industries and the continued reliance on coal-based energy, particularly in manufacturing and mineral processing activities. Fiscal policy has not yet provided a coherent emission-control signal. Carbon tax implementation remained limited and has not directly affected the manufacturing sector, while fossil fuel subsidies continued to create price distortions that weakened incentives for energy efficiency and renewable energy adoption. At the same time, government spending on environmental and renewable energy programs remained relatively small compared with the scale of fossil fuel subsidies. This study concludes that Indonesia’s fiscal policy still operates in two opposing directions: supporting emission reduction through carbon pricing and green expenditure, while simultaneously sustaining carbon-intensive industrial activity through energy subsidies. Strengthening fiscal coherence is therefore essential to align industrial growth with Indonesia’s low-carbon transition agenda.
Forecast Accuracy Comparison Between Holt’s Method and the Box-Jenkins Approach: The Case of Madiun City Labor Force Participation Rate Muhammad Qolbi Shobri; Yan Aditya Pradana; Putri Balqis Al-Kubro; Nayla Desviona; Nila Destia Nasra
UNP Journal of Statistics and Data Science Vol. 3 No. 3 (2025): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol3-iss3/413

Abstract

Pacitan district recorded the highest Labor Force Participation Rate (LFPR) in Eastern Java Province. Meanwhile, Madiun city which is one of the largest cities in East Java Province, is ranked only 34 out of 39 cities in 2023. This condition raises concern for the local government, perticularly the Department of Manpower,in ensuring that the productive-age population can be optimally absorbed into the labor market. The LFPR is categorized as time series data, thus forecasting method are required to estimate its future trends.This Study compares the performance of the Double Exponential Smoothing Holt (DESH) method and the Autoregressive Integrated Moving Average (ARIMA) Box-Jenkins approach in forecasting the LFPR of Madiun City. The empirical result show that the ARIMA (1,0,1) model provides better accuracy compared to DESH. The forecasting result  indiacte that the LFPR of Madiun City is project to reach 67,19% in 2024, 67,20% in 2025, and 67,21% in 2026, with  Mean Squared Error (MSE) of 14,48; Root Mean Square Error (RMSE) of 3,80 and Mean Absolute Percentage Error (MAPE) of 4,75%. These finding are expected to serve as reference for future research and practical input for policymakers in formulating strategies to improve labor LFPR in Madiun City.
Peran Pembelajaran Probabilitas Dalam Mengembangkan Kemampuan Berpikir Matematis Siswa: Systematic Literature Review Nayla Desviona; Marwah Masruroh; Salde Ofera; Viola Novaryca; Asramid Yasin
Indonesian Journal of Innovation Multidisipliner Research Vol. 4 No. 2 (2026): April - Juni
Publisher : Institute of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/ijim.v4i2.715

Abstract

Rendahnya kemampuan berpikir matematis siswa Indonesia menjadi persoalan yang tidak dapat diabaikan, terlebih ketika dikaitkan dengan materi probabilitas yang secara konseptual menuntut kemampuan penalaran, koneksi matematis, dan pengambilan keputusan secara logis. Kajian yang secara sistematis memetakan hubungan antara pembelajaran probabilitas dan kemampuan berpikir matematis siswa masih sangat terbatas, sehingga belum terbentuk gambaran yang menyeluruh mengenai kontribusi materi tersebut terhadap pengembangan kemampuan berpikir matematis. Penelitian ini bertujuan untuk mengkaji peran pembelajaran probabilitas dalam mengembangkan kemampuan berpikir matematis siswa melalui sintesis berbagai hasil penelitian yang relevan. Metode yang digunakan adalah tinjauan literatur sistematis dengan penelusuran artikel melalui basis data Google Scholar, Garuda, dan ScienceDirect, dibatasi pada rentang tahun dua ribu delapan belas hingga dua ribu dua puluh empat. Dari proses seleksi berdasarkan kriteria inklusi dan eksklusi yang telah ditetapkan, diperoleh sepuluh artikel ilmiah sebagai sumber data utama yang dianalisis menggunakan teknik sintesis naratif. Hasil kajian menunjukkan bahwa pemahaman konsep probabilitas memiliki hubungan yang erat dan bersifat resiprokal dengan kemampuan berpikir matematis siswa. Kesulitan belajar yang dialami siswa bersifat sistemik dan bersumber dari lemahnya pemahaman konseptual, bukan sekadar kelemahan prosedural. Pembelajaran berbasis konteks nyata, pemanfaatan teknologi, serta bahan ajar yang terstruktur terbukti efektif dalam meningkatkan pemahaman konsep sekaligus memperkuat kemampuan berpikir matematis siswa. Dengan demikian, pembelajaran probabilitas perlu diposisikan sebagai wahana strategis dalam membangun kemampuan berpikir matematis siswa secara menyeluruh.
Co-Authors Asramid Yasin Lizabeth Sari Dewi Marwah Masruroh Muhammad Qolbi Shobri Nila Destia Nasra Putri Balqis Al-Kubro Salde Ofera Viola Novaryca Yan Aditya Pradana