Al-Farisi, Muhammad Salman
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Pendampingan Mahasiswa Kuliah Kerja Nyata (KKN) Dalam Meningkatkan Kualitas Pendidikan Al-Qur’an Sebagai Wujud Pengabdian Di Kampung Cibodas, Desa Cimacan Kabupaten Cianjur Tsauri, Ahmad Latif; Maulana, Ridwan; Amal, Gilang Dzikrul; Al-Farisi, Muhammad Salman; Al-Qowi, Muhammad Alam
Zad Al-Ummah: Jurnal Pengabdian Masyarakat Vol. 3 No. 1 (2025): Zad Al-Ummah: Jurnal Pengabdian Masyarakat
Publisher : Pusat Penelitian dan Pengabdian Masyarakat STIQ ZAD Cianjur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55759/zau.v3i1.37

Abstract

The purpose of this paper is to describe the role of Real Work Lecture (KKN) students in Cibodas Village, Cimacan Village, Cianjur Regency in helping to improve the quality of Qur'an education. The results of the discussion showed that KKN students made a real contribution to helping to improve the Qur'an learning system in the community, one of which was through the Al-Qur'an Education Park activities, tajweed and tahsin training, and teacher coaching. In addition to helping teach children how to read the Qur'an, the activity also strengthens the relationship between students and the surrounding community. Therefore, this paper provides an overview that the KKN program is a real part of the education of Islamic students in the development of religious education in the community.
Analisis Pengaruh Kebijakan Hutang Dan Kebijakan Dividen Terhadap Kinerja Keuangan Pada Sektor Otomotif Yang Terdaftar di Bei Periode 2020-2022 Al-Farisi, Muhammad Salman; Sulistyowati, Ari; Indriani, Bonita Revana; Sefianggraini, Diah Ayu; Rahmadani, Rina
Jurnal Ilmiah Wahana Pendidikan Vol 10 No 17 (2024): Jurnal Ilmiah Wahana Pendidikan 
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.13897816

Abstract

The purpose of this study is to identify and investigate the impact of debt policy and dividend policy on the financial performance of automotive enterprises. The method used is quantitative and data is collected from his IDX website, scientific publications and the internet. The population of this study consists of companies in the automotive industry listed on IDX for the period 2020-2022, based on a sample of three companies. The data analysis techniques used are descriptive statistical analysis, multiple regression analysis, t-hypothesis and f-hypothesis testing to detect partial and simultaneous effects. As a result, the debt policy variable partially has a negative and significant effect on financial performance, while the dividend policy variable has a negative and insignificant effect on financial performance. At the same time, the two variables did not have a significant impact on financial performance.