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PEMBINAAN ROHANI DAN MOTIVASI BERWIRAUSAHA BAGI ANAK YATIM DAN DHUAFA PADA BULAN MUHARRAM BERSAMA LAZIS SABILILLAH MALANG Yuyuk Liana; Dyah Aruning Puspita; Hanif Mauludin; Aminul Amin; Evi Maria; Bunyamin; Siti Munfaqiroh
Jurnal Pengabdian Kepada Masyarakat (J-ABDIMAS) Vol 8 No 1 (2021): JURNAL PENGABDIAN KEPADA MASYARAKAT 2021
Publisher : Publisher UPT P2M Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (236.185 KB) | DOI: 10.33795/jabdimas.v8i1.115

Abstract

Muharram month is the month for Muslims to maximize their practice by sharing with others. For this reason, the service team of STIE Malangkucecwara together with Lazis Sabilillah Malang carried out spiritual activities with the theme of the meaning of Muharram as well as providing entrepreneurial motivation for orphans and poor people in the Sabilillah mosque area of Malang. This activity is at the same time providing compensation as a give away for orphans and dhuahas. This activity is expected to make the month of Muharram more meaningful and meaningful by making them happy and encouraging them to rise.
Impact of G20 on Financial Inclusion in Indonesia: Microfinance, Financial Technology, and Economic Digitalization Evi Maria; Alexandria Firsta Putri Aisyah; Edi Sudiarto
The Journal of Financial, Accounting, and Economics Vol. 2 No. 2 (2025)
Publisher : PT. Global World Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58857/JFAE.2025.v02.i02.p03

Abstract

Financial inclusion has been a key focus area in the G20 Finance Track, which aims to address and reduce economic disparities through expanding access to financial services. This is particularly relevant for low-income and remote communities, which face various barriers to accessing the formal financial system, be it geographical, infrastructural, or socio-economic. By increasing access to financial products and services such as savings, credit, insurance, and digital payments, financial inclusion is expected to drive economic empowerment, strengthen financial resilience, and reduce poverty. The G20 initiative is an important catalyst in mainstreaming financial inclusion as an inclusive sustainable development strategy. Therefore, it is important to empirically assess the extent of the impact of this policy on real conditions at the micro and macro levels. This study aims to analyze and describe the changes that occur in microfinance institutions, the development of financial technology (fintech), and economic digitalization through e-commerce in Indonesia, especially in the context of the implementation of the G20 agenda. The approach used in this research is descriptive quantitative with a paired sample t-test method to measure the difference between conditions before and after the G20 intervention. The results show that there is a statistically significant increase in a number of financial inclusion indicators after the intervention, especially in the aspects of fintech usage and digital transactions. This finding provides empirical evidence that the G20 plays an important role in accelerating digital financial transformation in Indonesia. Thus, global policies and agendas such as the G20 can have a real and positive impact on financial inclusion at the national level, if adaptively integrated with local needs.
Natural Language Processing for Happiness: Analyzing Public Optimism on Timor-Leste’s ASEAN Membership Using Machine Learning Marcelino Caetano Noronha; Hendry Hendry; Krsimiyati Krsimiyati; Evi Maria
Proceeding International Collaborative Conference on Multidisciplinary Science Vol. 3 No. 1 (2026): June : ICCMS (Proceeding International Collaborative Conference on Multidiscipl
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/iccms.v3i1.287

Abstract

Timor-Leste’s ASEAN integration triggers diverse public psychological responses. Grounded in Orange Technology, which leverages technology for social well-being, this study utilizes Natural Language Processing (NLP) and Machine Learning to evaluate public optimism and anxiety regarding this geopolitical shift. Public comments were harvested from YouTube, preprocessed, and classified using a Support Vector Machine (SVM) model. Positive sentiments were mapped as indicators of public optimism, while negative sentiments represented public anxiety. The experimental results revealed that 42.97% of the digital discourse exhibited positive sentiment, signaling collective optimism toward regional integration. Conversely, 16.10% negative sentiment highlighted specific anxieties regarding labor market competition and economic readiness. This study demonstrates how single-classifier NLP systems serve as effective emotional-sensing tools, providing actionable media intelligence for governments to design supportive communication strategies that foster public reassurance and happiness during major national transitions. This study highlights the potential of sentiment analysis to support evidence-based policy communication and strengthen public trust during Timor-Leste’s ASEAN integration process.