Article Per Year (5 Year)
p-Index From 2020 - 2025
0.983
P-Index
This Author published in this journals
All Journal Jurnal Sains Matematika dan Statistika Jurnal Ecodemica : Jurnal Ekonomi Manajemen dan Bisnis Jurnal Tata Kelola dan Akuntabilitas Keuangan Negara Journal of Agribusiness and Community Empowerment (JACE) East Java Economic Journal
Dewantoro, Fuad Ramdhan
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics Social Sciences

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
Analisis Risiko Kerentanan Pekerja Informal di Indonesia Tahun 2022 Dewantoro, Fuad Ramdhan
Jurnal Ecodemica: Jurnal Ekonomi, Manajemen, dan Bisnis Vol 8, No 1 (2024): April 2024
Publisher : LPPM Universitas BSI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/eco.v8i1.21205

Abstract

Informal workers are vulnerable to various social risks such as poverty, unemployment, and quality and opportunity of work issues. This vulnerability is due to their unprotected status under labor laws or government policies and programs. This research aims to estimate the probability and impact of vulnerability risk occurrence among informal workers in Indonesia in 2022 using K-means cluster and probit regression analysis. The variables used to cluster informal workers' vulnerability status are monthly income, financial recording, education period, working period, technology usage, weekly working hours, and age. The probability value is obtained from the proportion of vulnerable informal workers to the total informal workers. The probit regression analysis tests the significance of the seven independent variables in forming the vulnerability status. The results show that the probability of vulnerability-risk occurrences among informal workers is 0.4578. Vulnerable informal workers are characterized by low income, education level, working hours, lack of technology usage and financial recording, older age, and considerable working periods. All seven independent variables significantly influence the clustering of informal workers vulnerability status. The research implications expect the government to issue policies focusing on vulnerable informal workers, especially in improving their income, education level, working hours, technology usage, financial recording, and old age.
Assessment and Mitigation of Risk of Agricultural Sector Unsustainability in East Java Province: Based on Vulnerability Aspects of Internal Characteristics of Workers Dewantoro, Fuad Ramdhan
East Java Economic Journal Vol. 9 No. 1 (2025)
Publisher : Kantor Perwakilan Bank Indonesia Provinsi Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53572/ejavec.v9i1.151

Abstract

The problem of the declining trend in the percentage of labor and the contribution of the agricultural sector to ADHB GRDP in the last decade indicates the risk of future unsustainability that has a negative impact on the economy of East Java. This study aims to assess the risk of unsustainability of the agricultural sector in East Java based on the vulnerability of internal characteristics of workers. The research method combines cluster analysis and logistic regression on 8 internal characteristics of agricultural workers to calculate the probability of vulnerability. Impact was assessed from historical data on the decline in the number of workers and the contribution of the agricultural sector to GRDP. The risk level was obtained by multiplying the values of opportunity and impact. The results show that East Java Province as a whole has a high level of risk of agricultural sector unsustainability, with details of 3 districts/cities having a very low level of risk, 6 low, 21 high, and 8 very high. Further analysis revealed that areas with higher risk levels generally have agricultural workers with characteristics of older age, low education level, minimal use of technology, low income, short working hours, long working period, low financial bookkeeping, and high informal status. The research conclusions emphasize the importance of prioritizing risk management in areas with high/very high risk levels while still paying attention to areas with very low/low risk levels. Risk management suggestions include: Preventive is carried out in areas with high opportunities and impacts, focusing on improving workers' skills and knowledge and encouraging the adoption of technology. Directive is carried out for areas with small opportunities but large impacts, conducting.
Developing operational risk-level assessment for selecting auditable units: Factor analysis and analytic hierarchy process approach Dewantoro, Fuad Ramdhan; Lestari, Yetty Dwi
Jurnal Tata Kelola dan Akuntabilitas Keuangan Negara Vol. 11 No. 1 (2025): JTAKEN Vol. 11 No. 1, June 2025
Publisher : Badan Pemeriksa Keuangan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28986/jtaken.v11i1.1701

Abstract

This study introduces a new method for calculating operational risk levels in selecting audit units at Statistics Indonesia (BPS). The key novelty of this study lies in its two-level assessment framework, which systematically compares different risk calculation methods to determine the most effective approach for operational risk evaluation. Using exploratory factor analysis, the study identifies four key operational risk factors: operational costs, internal control, investment and guarantees, also financial performance. The analytic hierarchy process (AHP) is then applied to systematically assign weight scores to these factors and their corresponding subcriteria based on expert judgment. Integrating these approaches results in a more structured, comprehensive, and accurate risk assessment model. Compared to the previous method, this new method exhibits a narrower but more optimal risk-level range, a slightly higher average operational risk level, and fewer instances of underestimation or overestimation. This new method enhances the precision of risk assessment in selecting BPS audit units, enabling the internal audit team to allocate resources more effectively by prioritizing high-risk work units. Consequently, the overall efficiency and effectiveness of BPS's internal audit process improved.
Pengaruh Sosial Ekonomi Terhadap Tingkat Konsumsi Kalori Penduduk Jawa Timur 2022 Menggunakan Spatial Autoregressive Model Dewantoro, Fuad Ramdhan
Jurnal Sains Matematika dan Statistika Vol 10, No 2 (2024): JSMS Juli 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jsms.v10i2.23954

Abstract

Abstrak  Salah satu indikator yang digunakan untuk menghitung capaian Tujuan kedua dari Sustainable Development Goals (SDGs) adalah persentase penduduk yang mengonsumsi energi di bawah standar minimal yang dinyatakan dalam kilo kalori per hari. Berdasarkan data BPS Maret 2022, penduduk Indonesia mengonsumsi kalori/kapita/hari rata-rata sebesar 2.079,09 kkal, masih berada dibawah standar angka kecukupan gizi (AKG) sebesar 2.100 kkal/kapita/hari. Hal tersebut juga terjadi pada Propinsi Jawa Timur yang merupakan penghasil produksi Padi terbesar di Indonesia Tahun 2022. Dengan demikian, penelitian ini bertujuan untuk mengetahui apakah terdapat pengaruh dari indikator makro Sosial Ekonomi serta efek spasial (kewilayahan) terhadap tingkat rata-rata konsumsi kalori penduduk Jawa Timur Tahun 2022. Pada penelitian ini menggunakan model analisis Spatial Autoregressive (SAR), yang memberikan hasil bahwa terdapat pengaruh ketergantungan atau efek spasial (spatial dependency) yang signifikan terhadap tingkat rata-rata konsumsi kalori penduduk Jawa Timur serta memberikan nilai AIC yang lebih kecil dibandingkan RLB sehingga model analisis yang lebih cocok digunakan adalah Spatial Autoregressive (SAR). Hasil Uji parsial tes menunjukkan ke 5 variabel bebas yang digunakan yakni produksi padi, pengeluaran makanan, kemiskinan, pengangguran dan IPM signifikan berpengaruh terhadap tingkat rata-rata konsumsi kalori penduduk Jawa Timur Tahun 2022. Konsumsi padi atau beras masih menjadi sumber pangan dan energi yang utama dari Penduduk Jawa Timur.Kata Kunci: Kalori, Sosial, Ekonomi, Spatial Autoregressive, Sustainable Development Goals. AbstractOne of the indicators used to calculate the achievement of the second goal of the Sustainable Development Goals (SDGs) is the percentage of the population with energy consumption below the minimum standard expressed in kilocalories/day. Based on BPS data from March 2022, the average calorie consumption per capita/day of the Indonesian population was 2,079.09 kcal, still below the nutritional adequacy level (AKG) of 2,100 kcal/capita/day. This is also the case in East Java Province, which will be the largest producer of rice in Indonesia in 2022. Therefore, this study aims to see the influence of socio-economic macro indicators and spatial effects on the average level of calorie consumption of the population of East Java in 2022. The analysis method used is Spatial Autoregressive (SAR). The results showed that there was a significant influence of spatial dependency on the average level of calorie consumption of the population of East Java and provided a smaller AIC value than RLB, so the more suitable analysis model used was Spatial Autoregressive (SAR). The results of the partial test show that the 5 independent variables used, namely rice production, food expenditure, poverty, unemployment, and HDI, significantly affect the average level of calorie consumption of the population of East Java in 2022. Rice consumption is still the main source of food and energy for East Java residents.Keywords: calories, Social, Economic, Spatial Autoregressive, Sustainable Development Goals.
Pengelompokan Kabupaten/Kota di Jawa Timur Berdasarkan Kajian Karakteristik Petani Tahun 2022 Dewantoro, Fuad Ramdhan
Journal of Agribusiness and Community Empowerment (JACE) Vol. 6 No. 2 (2023): September
Publisher : Politeknik Pertanian Negeri Payakumbuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32530/jace.v6i2.670

Abstract

Sektor pertanian mempunyai peranan yang strategis dalam memajukan perekonomian Indonesia termasuk di Provinsi Jawa Timur sebagai Provinsi yang potensial di sektor pertanian. Akan tetapi, dalam dekade terakhir terjadi penurunan jumlah petani yang disebabkan adanya permasalahan regenerasi yaitu fenomena petani usia tua atau aging farmer. Oleh karena itu, penelitian ini bertujuan untuk mengelompokkan Kabupaten/Kota di Provinsi Jawa Timur berdasarkan karakteristik petani tahun 2022 sehingga dapat dilihat gambaran umum dari kondisi petani di Jawa Timur. Penelitian ini menggunakan analisis K-Means Cluster berdasarkan sembilan variabel meliputi umur, pendidikan, pengalaman kerja, jam kerja, status berusaha, penggunaan teknologi, internet, penghasilan serta pembukuan usaha. Hasil penelitian menunjukkan bahwa terdapat sebanyak 5 kabupaten/kota tergolong kedalam cluster 1, terdapat 5 kabupaten/kota tergolong kedalam cluster 2, serta terdapat 28 kabupaten/kota pada cluster 3. Kabupaten/Kota yang tergolong kedalam cluster 3 mempunyai kondisi karakteristik petani cukup rentan atau kurang baik meliputi rata-rata penghasilan petani yang paling rendah, tingkat pendidikan petani berada pada jenjang SD, persentase petani yang menggunakan teknologi, internet dan melakukan pembukuan keuangan yang masih rendah serta pengalaman kerja yang paling lama. Ketiga cluster mempunyai kesamaan karakteristik yakni memiliki rata-rata usia petani dalam kategori tua atau aging farmer. Kondisi karakteristik petani pada Cluster 3 menjadi penyebab adanya keengganan masyarakat untuk melanjutkan bekerja di sektor pertanian, sehingga menimbulkan adanya penurunan jumlah petani dalam dekade terakhir khususnya yang terjadi di Provinsi Jawa Timur.
Co-Authors Yetty Dwi Lestari