Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Al-Tarbiyah: Jurnal Ilmu Pendidikan Islam Journal on Pustaka Cendekia Informatika
Rahmi Syafitri
Unknown Affiliation
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Penafsiran Ayat-Ayat Tentang Korupsi Naili Amalia; Rahmi Syafitri
Al-Tarbiyah : Jurnal Ilmu Pendidikan Islam Vol. 3 No. 3 (2025): Juli: Al-Tarbiyah: Jurnal Ilmu Pendidikan Islam
Publisher : STAI YPIQ BAUBAU, SULAWESI TENGGARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59059/al-tarbiyah.v3i3.2470

Abstract

Corruption is an issue that has received attention in the Qur'an, although it has not been studied in depth in terms of legal aspects and scientific research. Some verses of the Qur'an contain concepts related to corruption, but have not yet become the main reference in Islamic legal studies. This study aims to reveal the meaning of corruption in the Qur'an through the analysis of relevant verses and the interpretations of the mufassirs in various books of interpretation. The focus of this study is to explore the Qur'anic perspective on corrupt practices by referring to the interpretations of the scholars of tafsir. In the Qur'an, some terms that approach the meaning of corruption include robbery (hirabah), theft (as-sariqah), treason (al-ghulul), and bribery (as-suht).
Pemanfaatan Ai dalam Alat Pendeteksi Sampah Organik dan An-Organik: Studi Kasus Universitas Pahlawan Tuanku Tambusai Tasya Wulandari; Tulhusna, Zilla; R. Joko Musridho; Khairunnisa; Rahmi Syafitri; Amanda Lismawati; Cindy Fatika Sari
Journal on Pustaka Cendekia Informatika Vol. 2 No. 1 (2024): Journal on Pustaka Cendekia Informatika: Volume 2 Nomor 1 February - May 2024
Publisher : PT Pustaka Cendekia Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70292/pctif.v2i1.60

Abstract

Waste management has become an important issue in the modern era along with the increasing volume of waste generated by human activities. This study allows the use of artificial intelligence (AI) in the organic and inorganic waste detection system in the Universitas Pahlawan Tuanku Tambusai environment. The method used is a mixed method, namely a combination of quantitative approaches through questionnaires and qualitative through direct observation. The results of the study showed that 82% of respondents felt that AI increased awareness of waste management, and 91% were willing to change their waste disposal habits with this tool. Although only 23% of respondents have tried the tool, enthusiasm for this technology is quite high. This study involved academics as the main respondents, including students and cleaners, to assess the effectiveness of the tool and its impact on environmental awareness.
Co-Authors Amanda Lismawati Cindy Fatika Sari Khairunnisa Naili Amalia R. Joko Musridho Tasya Wulandari Tulhusna, Zilla