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Implementation of Distributed Database in Waste Bank Application Using NOSQL Sugiarto; Riko Setya Wijaya; Gyska Indah Harya; Sherafim Glory Mei Stephany
IJCONSIST JOURNALS Vol 5 No 2 (2024): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v5i2.117

Abstract

This paper presents the implementation of a NoSQL-based distributed database for a waste bank application aimed at improving the efficiency, scalability, and reliability of waste management systems. Traditional relational databases often struggle with handling large volumes of transactional data in real-time, particularly in expanding waste bank networks. The proposed solution utilizes MongoDB to address these challenges by distributing data across multiple servers, ensuring enhanced performance and scalability. The study focuses on managing user information, waste deposit transactions, and real-time updates. Testing was conducted using real-world data from Indonesia, involving 500 users and 15,000 transactions. The system demonstrated strong scalability, processing up to 5,000 transactions per minute with an average response time of 50ms. Additionally, real-time updates were delivered with a latency of 100ms, maintaining high user engagement. Results show that the NoSQL-based system offers significant improvements in handling large datasets, ensuring data consistency, and maintaining system uptime of 99.8%. This approach is well-suited for modern waste bank applications, particularly in diverse environments like Indonesia.
Analysis Of Factors Affecting Labor Absorption In The Tapal Kuda Region Of East Java Bunga Ayufi Rachmaniyah; Riko Setya Wijaya; Putra Perdana
Jurnal Pamator : Jurnal Ilmiah Universitas Trunojoyo Vol 18, No 3: 2025
Publisher : Universitas Trunodjoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/pamator.v18i3.30258

Abstract

The research examines how labor absorption in East Java's Horseshoe region is influenced by several key factors: population, average years of schooling, TPAK, minimum wage, and GRDP per capita. Using panel data regression analysis through the Fixed Effect Model (FEM), determined by Chow and Hausman testing, the investigation adopts a quantitative methodology. The analysis draws on secondary data spanning 2014-2023, sourced from the Central Bureau of Statistics of the corresponding region. The results show that the variables of Total Population and TPAK have a positive and significant effect on employment. Meanwhile, the variables of Average Years of Schooling, Minimum Wage, and GRDP Per Capita have no significant effect, and even tend to be negative. This finding indicates that an increase in the active working-age population contributes to labor absorption, while formal education and wage policies have not been able to optimally encourage labor absorption in the region's dominant informal sector. This study provides policy implications for local governments in encouraging inclusive and quality-based employment growth.Keywords: Labor Absorption, Population, Average Years of Schooling, TPAK, Minimum Wage, GRDP Per Capita.
ANALYSIS OF INDONESIA'S COAL EXPORT COMPETITIVENESS IN THE INTERNATIONAL MARKET AND ITS DETERMINANT FACTORS Dwiki Andreansyah Nugraha; Riko Setya Wijaya; Putra Perdana
JURNAL PROFIT Vol 9, No 2 (2025): Economic And Financial Institutions
Publisher : Nurul Jadid University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/profit.v9i2.12546

Abstract

Indonesia is one of the world’s largest coal exporters, with a significant contribution tomeeting global energy demand. However, the competitiveness of Indonesia’s coalexports is strongly influenced by international market dynamics and external factors.This study aims to analyze the competitiveness of Indonesia’s coal exports in theglobal market using the Vector Autoregression (VAR) model for the period 2004–2023.The variables analyzed include Foreign Direct Investment (FDI), international coalprices (HBI), exchange rate (NT), national coal production, and competitivenessmeasured through the Revealed Comparative Advantage (RCA). The results indicatethat Indonesia still lags behind Australia in terms of RCA, although the gap hasnarrowed between 2018 and 2023. Conversely, compared to Russia, Indonesiaconsistently outperforms. The impulse response function (IRF) analysis reveals thatFDI has a positive impact on RCA, while rising international coal prices tend toweaken competitiveness. National coal production shows a positive effect in themedium term, whereas the exchange rate responds negatively to price fluctuations.Variance decomposition (VD) results show that FDI had a dominant contribution inthe early period (70–75%) but declined to around 20%, while the influence ofinternational coal prices increased to 40%. Overall, Indonesia’s coal exportcompetitiveness is largely shaped by external factors, requiring strategies such asmarket diversification, downstream industry development, efficiency improvements,and the optimization of global geopolitical opportunities.
PENINGKATAN KUALITAS PRODUK UMKM “KERIPIK MENJES” MELALUI TEKNOLOGI TEPAT GUNA SPINNER Moh. Sofyan Farishi; M. Taufiq; Riko Setya Wijaya
Journal of Community Service (JCOS) Vol. 1 No. 3 (2023)
Publisher : EDUPEDIA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56855/jcos.v1i3.548

Abstract

Adanya Usaha Mikro, Kecil, dan Menengah (UMKM) berkontribusi terhadap pertumbuhan ekonomi, menciptakan lapangan kerja dan mendorong pengembangan sektor industri. Penerapan teknologi tepat guna dalam UMKM “Keripik Menjes” berupa adanya mesin peniris minyak otomatis (spinner) menjadi salah satu alternatif solusi untuk membantu mengefisiensi waktu dalam proses produksi keripik menjes, sehingga dapat memproduksi dengan skala yang lebih besar. Selain itu, adanya kegiatan ini juga mampu memberikan wawasan mengenai persiapan dan pembuatan mesin peniris minyak otomatis. Kegiatan ini dilakukan mulai dari pengambilan data berupa wawancara, dan survey produksi, dilanjutkan dengan identifikasi permasalahan dan pelaksanaan kegiatan. Hasil kegiatan ini yaitu terciptanya inovasi teknologi tepat guna berupa mesin peniris minyak otomatis (spinner) untuk UMKM Keripik Menjes ““Kyu”” sehingga kualitas produk UMKM menjadi meningkat, sekaligus dapat memperluas pasar dengan produksi skala yang lebih besar.  
Analysis of Base and Non-base Sectors and Economic Conpetitiveness in Magetan Regency Salsabila Nuri Winanda; Riko Setya Wijaya; Putra Perdana
Finance : International Journal of Management Finance Vol. 3 No. 4 (2026): June
Publisher : Publikasi Inspirasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62017/finance.v3i4.160

Abstract

This study aims to analyze the economic potential and competitiveness of Magetan Regency using the Location Quotient (LQ), Shift Share, and Klassen Typology methods based on 2019–2023 BPS data. The results indicate eight basic sectors, ten sectors driving economic growth, nine sectors with relatively rapid growth, twelve highly competitive sectors, and five sectors included in Quadrant I, designated as advanced and fast-growing sectors.
The Effect of Population Size, Economic Growth, Education, and Open Unemployment on Poverty in Probolinggo Regency M. Syamaidzar Rahardani; Riko Setya Wijaya
Journal of Regional Economics and Development Vol. 3 No. 4 (2026): August
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/jred.v3i4.1262

Abstract

The current investigation is intended to assess the influence populacesize, economic growth, education level, and the influence of the rate of open unemployment on poverty incidence in Probolinggo Regency. This study employs a quantitative approach using secondary longitudinal data covering the period 2010–2024 retrieved from the Central Bureau of Statistics (BPS). Multiple regression analysis was utilized to assess the effects of the explanatory variables on the poverty rate. The evidence indicatethat population size Likewise, economic development shows no statistically significant impact on the poverty level., while education level likewise does not show a significant effect. Meanwhile, open unemployment is the only statistically significant variable in the estimated model. These findings indicate that unemployment is a more dominant factor affecting the poverty rate compared to the other variables. Therefore, poverty alleviation efforts should focus on expanding employment opportunities and raising the standard of the labor force.