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FIQH VALUTA ASING SYARIAH Siti Nurhalizah; Talitha Nabilah; Ruhenda; Zia Sidqurrahman; Ilham Nurjaman
Gunung Djati Conference Series Vol. 42 (2024): Seminar Nasional Ekonomi dan Bisnis Islam
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Artikel ini membahas penerapan prinsip-prinsip fiqih dalam transaksi valuta asing (forex) dari sudut pandang syariah Islam. Forex adalah pasar keuangan global yang melibatkan pertukaran mata uang asing. Namun, prinsip-prinsip syariah yang mengatur transaksi keuangan memiliki implikasi yang signifikan dalam konteks forex. Artikel ini menjelaskan konsep-konsep dasar fiqih yang relevan dalam transaksi valuta asing, seperti konsep riba (bunga), gharar (ketidakpastian), dan maysir (perjudian). Selain itu, artikel ini membahas pandangan syariah terhadap transaksi spot (tunai), forward, dan swap dalam forex, serta pentingnya kepatuhan terhadap prinsip-prinsip syariah dalam melakukan transaksi valuta asing. Melalui pemahaman yang mendalam terhadap prinsip-prinsip fiqih, diharapkan para pelaku pasar dapat mengimplementasikan transaksi forex secara lebih etis dan sesuai dengan nilai-nilai syariah Islam.
Planning of human resources in education Ilham Nurjaman; Dede Supriyatna; Dudu Rohman; Badrudin Badrudin; Tanti Fitri Yana
Educenter : Jurnal Ilmiah Pendidikan Vol. 3 No. 3 (2024): Educenter: Jurnal Ilmiah Pendidikan
Publisher : ARKA INSTITUTE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55904/educenter.v3i3.2247

Abstract

This study aims to analyze the concept, objectives, functions, and strategic role of human resource planning in educational implementation. This research uses a qualitative approach with a descriptive design through a literature review method. Data were collected from books, scientific journal articles, and relevant policy documents, then analyzed using descriptive qualitative techniques. The results show that human resource planning is a strategic component in educational management that ensures the availability of qualified teaching and educational personnel in accordance with institutional needs. The process includes several interconnected stages, such as needs analysis, organizing, directing, controlling, and evaluation. Effective planning can prevent mismatches between workforce availability and institutional demands, improve personnel professionalism, and enhance the effectiveness of educational management. Furthermore, human resource planning should not be viewed merely as an administrative activity but must be integrated with the vision, mission, and strategic development of educational institutions. Therefore, systematic and long-term oriented human resource planning is essential to improve educational quality and achieve national education goals.
PHENOMENOLOGY OF MANAWI IN SUNDANESE INFORMAL CREDIT PRACTICES Ilham Nurjaman
Al-Tsaqafa : Jurnal Ilmiah Peradaban Islam Vol. 23 No. 1 (2026): Al-Tsaqafa : Jurnal Ilmiah Peradaban Islam
Publisher : Fakultas Adab dan Humaniora UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/al-tsaqafa.v23i1.57885

Abstract

While existing literature extensively examines the socio-economic mechanisms of informal credit, the subtle linguistic strategies that mediate these vulnerable transactions remain underexplored. This study investigates the semantic shift of the Sundanese term manawi within the framework of social embeddedness and informal credit practices in Bandung. The primary objective is to analyze how this linguistic transformation functions as a social negotiation tool in relationship-based economic transactions. Employing a qualitative descriptive-interpretative phenomenological method, data were gathered through semi-structured, in-depth interviews with five purposive Sundanese-speaking participants and analyzed via Moustakas's framework. The results reveal that manawi has expanded from its conventional role as a modal adverb meaning "perhaps" into a functional verb implicitly representing the act of borrowing money. Driven by post-pandemic financial precarity, this semantic narrowing serves as a critical face-saving strategy, allowing vulnerable actors to address urgent economic survival needs while maintaining interpersonal harmony. Theoretically, this research provides nuanced empirical insights into the intersection of linguistics and economic sociology, demonstrating how language adapts to cushion economic vulnerability.
Comparison of Classification Models for Predicting Admission Outcomes of Prospective Students with Disabilities Rosihon Anwar; Mohamad Irfan; Ilham Nurjaman
CoreID Journal Vol. 4 No. 1 (2026): March 2026
Publisher : CV. Generasi Intelektual Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60005/coreid.v4i1.147

Abstract

Students with disabilities are a group that requires special attention in the admission process at universities, especially at State Islamic Higher Education Institutions (PTKIN). Although inclusive policies have been implemented, challenges in implementation in the field are still quite significant, especially in terms of equal access and the readiness of educational institutions. This study aims to analyze the opportunities and challenges of accepting students with disabilities at PTKIN through a machine learning approach to predict the factors that influence selection graduation. The research data consists of 80 prospective students with disabilities who participated in the PTKIN selection, covering variables such as gender, province of origin, previous education, school accreditation, and type of disability. The research process included data cleaning, feature engineering (including categorical encoding and recategorization of disability variables), and data balancing using the SMOTE method. Next, model training was carried out using three main algorithms, namely Support Vector Machine (SVM), Random Forest, and XGBoost, as well as model combination (ensemble voting classifier) for performance comparison. The results show that the SVM (RBF kernel) model provides the best performance with an accuracy of 80% and an F1-score of 0.88 for the “Pass” class. This model outperforms Random Forest and XGBoost, which have an accuracy of 65% each. The most influential factors for graduation are the province of origin, disability category, and previous form of education. These findings indicate that the acceptance of students with disabilities at PTKIN is still influenced by geographical factors and educational background, so affirmative policies need to be directed at expanding access for people with disabilities from certain regions and backgrounds. The machine learning approach has proven to be effective as a tool for analyzing inclusive education policies in the PTKIN environment.