Claim Missing Document
Check
Articles

Found 4 Documents
Search

DISHARMONI PERATURAN KEPOLISIAN DENGAN PERATURAN KEJAKSAAN DALAM PELAKSANAAN KEADILAN RESTORATIF Arif, Fahmi; Kholif As Syafii, Nur Hamida
Legacy: Jurnal Hukum dan Perundang-Undangan Vol 3 No 2 (2023): Legacy Jurnal Hukum dan Perundang-undangan
Publisher : Departement of Constitutional Law UIN Sayyid Ali Rahmatullah Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21274/legacy.2023.3.2.161-180

Abstract

Penelitian ini dilatarbelakangi adanya perbedaan penyelesaian perkara pidana pada beberapa kasus yang telah diselesaikan menggunakan keadilan restoratif. Hal tersebut timbul akibat adanya peraturan Kepolisian Nomor 8 Tahun 2021 dan Peraturan Kejaksaan Nomor 15 Tahun 2020 sebagai payung hukum masing-masing lembaga dalam melaksanakannya. Fokus rumusan masalah pada penelitian ini adalah bagaimana disharmoni antara Peraturan Kepolisian dan Peraturan Kejaksaan dalam pengaturan pelaksanaan keadilan restoratif. Metode penelitian yang digunakan adalah penelitian Yuridis Normatif dengan pendekatan perundang-undangan untuk memahami status dan kedudukan Kepolisian sebagai pelaksana Penyidikan dan Kejaksaan sebagai pelaksana Penuntutuan dalam Sistem Peradilan Pidana. Hasil dari penelitian ini menunjukkan bahwa 1) ditemukan perbedaan pasal yang terdapat pada Peraturan Kepolisisan dan Peraturan Kejaksaan yang mengatur mengenai syarat perkara pidana yang bisa diselesaikan dengan keadilan restorative Hasil Sinkronisasi tindak pidana yang bisa diselesaikan dengan keadilan restoratif hanyalah tindak pidana dengan ancaman pidana penjara tidak lebih dari 5 (lima) tahun serta nilai barang bukti atau kerugian yang timbul akibat adanya tindakan tersebut tidak lebih dari Rp. 2.500.000,00 (dua juta lima ratus ribu rupiah). Hal tersebut merupakan sinkronisasi dari sisi aturan pelaksanaan keadilan restoratif serta dari sisi kedudukan Kepolisian dalam Penyidikan dan kedudukan Kejaksaan dalam Penuntutuan pada Sistem Peradilan Pidana.
The Role of Teaching Assistance in Enhancing the Learning Motivation of Twelfth-Grade Students in English Literature at SMAN 9 Toraja Utara Nurhikmah, Nurhikmah; Hermansyah, sam; Nuraeni, Nuraeni; Kasmiati, Kasmiati; Arif, Fahmi; Sanjaya, Utu; Asman, Asman
Edumaspul: Jurnal Pendidikan Vol 8 No 2 (2024): Edumaspul: Jurnal Pendidikan
Publisher : Universitas Muhammadiyah Enrekang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33487/edumaspul.v8i2.8586

Abstract

This study aims to examine the role of teaching assistance programs in improving the learning motivation of twelfth-grade students in English Literature at SMAN 9 Toraja Utara. The program, part of the Merdeka Belajar Kampus Merdeka (MBKM) initiative, involves university students assisting teaching activities in schools to support literacy, numeracy, technology adaptation, and administrative tasks. Using a descriptive qualitative approach, data were collected through observation, interviews, and documentation over four months. The findings reveal that the teaching assistance program significantly enhances students' interest and enthusiasm in learning. The use of creative methods, such as learning through games and providing rewards, has proven effective in fostering a positive classroom environment and improving academic engagement. Furthermore, the program allows university students to develop essential skills, including leadership, collaboration, and empathy, while contributing to the improvement of teaching quality in schools. This research highlights the importance of innovative educational strategies to support student motivation and academic achievement.
Morality behind Prohibition of Abortion and The Meaning of Medical Emergency As a Legal Basis for Abortion Arif, Fahmi
Martabat: Jurnal Perempuan dan Anak Vol 8 No 1 (2024)
Publisher : UIN Sayyid Ali Rahmatullah Tulungagung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21274/martabat.2024.8.1.87-106

Abstract

Morality behind prohibition of abortion remains one of the most controversial issues in modern society. Proponents of abortion rights emphasize the importance of women's rights to their own bodies and the freedom for women to make decisions regarding reproductive rights. Opponents of abortion argue that the life of the fetus must be protected even during pregnancy. The party in the middle position in this debate tries to balance these two interests, namely a woman's autonomy over her body and the right to life of the fetus, so that a legal instrument is needed to limit the cases in which abortion can be legally carried out. This research aims to uncover questions about the morality of abortion in the Indonesian legal system and the meaning of medical emergencies as a basis for the legality of abortion. Abortion in Indonesia's legal system emphasizes the right to life of the fetus as a potential baby and does not fully consider social dynamics and women's autonomy over their bodies and reproduction. Medical emergencies are regulated in the 2014 Government regulations, where new implementing regulations should be issued to accommodate the provisions of the New Criminal Code and the Health Law as well as developing social dynamics.
Improving Housing Price Prediction with Machine Learning: Insights from Yogyakarta Sudarawerti, Galuh; Arif, Fahmi
International Journal of Management, Entrepreneurship, Social Science and Humanities Vol. 9 No. 1 (2025): IJMESH
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/ijmesh.v9i1.3567

Abstract

Predicting housing prices accurately remains a major challenge in the real estate industry, especially in fast-urbanizing areas where both structural and locational factors are at play. This study focuses on the Special Region of Yogyakarta, Indonesia—a city with varied land use and dynamic housing market conditions—to explore how machine learning (ML) can support better price forecasting. Using the CRISP-DM framework, we analyzed data from 2,020 residential listings, incorporating variables such as building area, land size, number of rooms, and district. Among the several classification models tested, Random Forest achieved the highest accuracy and F1-score. According to the feature importance analysis, building area, land area, and district emerged as the strongest predictors, while vertical features like the number of floors had relatively little effect. These findings suggest that in Yogyakarta’s market, observable physical features may play a bigger role in price determination than location-specific factors. While the study offers a practical framework that real estate professionals can apply, its reliance on structural data and a single-region focus does limit how broadly the findings can be applied. Future research could expand on this by including socioeconomic or environmental variables to strengthen model performance and relevance across different markets.