https://woas-journals.com/index.php/ijfaema <p><strong>International Journal of Financial Accountability, Economics, Management, and Auditing (IJFAEMA) -ISSN 2788-7189 (Online)-</strong> is a peer-reviewed International Journal that currently publishes 6 issues annually. IJFAEMA journal publishes theoretical and empirical papers on a wide range of topics related to Business (Accounting, Auditing, Management, etc.), Finance, and Economics.</p> <p align="justify"><em><strong>Cross Reference</strong></em></p> <p align="justify"><strong>International Journal of Financial Accountability, Economics, Management, and Auditing (IJFAEMA)</strong> is a member of the <strong>CrossRef. </strong>The DOI prefix allotted for IJFAEMA is <a href="https://doi.org/10.52502/ijfaema"><strong>10.52502/ijfaema</strong></a></p> International Journal of Financial Accountability, Economics, Management, and Auditing (IJFAEMA) en-US International Journal of Financial Accountability, Economics, Management, and Auditing (IJFAEMA) 2788-7189 https://woas-journals.com/index.php/ijfaema/article/view/1232 <div>For some time now, the Democratic Republic of Congo has been facing the problem of juvenile insecurity. This article examined more than 1,042 cases of security incidents in the city of Kinshasa. Most of these incidents are not isolated events but part of broader recurring patterns. This study demonstrates that integrating technological tools with existing law enforcement methods can contribute to the development of a more intelligent, proactive, and efficient information system, thereby strengthening public security in a sustainable manner. The results obtained after data analysis and model testing confirm the hypothesis by demonstrating that the use of predictive tools, in particular logistic regression (GLM) and the generalized additive model (GAM), make it possible to predict the probability of a delayed response time based on the contextual characteristics of the incident.</div> <div>&nbsp;</div> <div>Keywords: Predictive algorithm, Juvenile delinquency, Predictive policing, Kuluna in Kinshasa, Urban crime; Machine learning, youth violence</div> <p>&nbsp;</p> NTUNKADI MOMBO Aristote Paulin KAMUANGU Joris ZOLA Junior TANGAMU Marise MIKANDA Copyright (c) 2026 NTUNKADI MOMBO Aristote , Paulin KAMUANGU, Joris ZOLA, Junior TANGAMU, Marise MIKANDA https://creativecommons.org/licenses/by-nc-nd/4.0 2026-05-26 2026-05-26 8 3 113 124 10.5281/zenodo.20398236 https://woas-journals.com/index.php/ijfaema/article/view/1238 <p>L’objet de ce travail est d’analyser la contribution de l’inclusion financière des femmes entrepreneures à la réduction de la pauvreté au sein de leurs ménages dans la ville de Goma. Sur la base d’enquêtes menées du 28 août au 10 septembre 2024 auprès de 400 femmes entrepreneures, les données ont été traitées au moyen d’analyses factorielles exploratoires et confirmatoires, de corrélations canoniques et de régressions tronquées sous SPSS, LISREL et STATA. L'analyse révèle que l'inclusion financière possède un impact positif sur les revenus, mais sa contribution directe à la réduction globale de la pauvreté au sein de la régression s'avère modérée par des facteurs contextuels et structurels. Parmi les facteurs les plus influents, la situation d'habitation, le niveau d'études, et le revenu du conjoint jouent un rôle majeur dans la dynamique économique des ménages. Une approche holistique associant l'inclusion financière à des politiques d'amélioration du cadre de vie est requise pour maximiser l'impact sur le bien-être familial.</p> KASEREKA MUSUBAO Victoire Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0 2026-06-07 2026-06-07 8 3 125 148 10.5281/zenodo.20581751