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All Journal TELEKONTRAN: Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Jurnal Keislaman
Miftah Fauzi
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Religion Humanities Computer Science & IT Control & Systems Engineering Education Law, Crime, Criminology & Criminal Justice Social Sciences

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Informed-RRT* Using Hybrid Sampling to Finding Fast Final Path Solution Miftah Fauzi; Muhammad Aria Rajasa Pohan
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Vol 9 No 2 (2021): TELEKONTRAN Vol 9 No 2 Oktober 2021
Publisher : Program Studi Teknik Elektro, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/telekontran.v9i2.5625

Abstract

Informed Rapidly-exploring Random Tree* (Informed-RRT*) is the result of the development of the RRT algorithm which can produce an optimal asymptotic path solution but the computation time required is longer. Initially, the Informed-RRT* algorithm was still using the random sampling method, where this method will take a random sample in the search space. This random sampling will make the computation time not optimal. This study aims to design the Informed-RRT* algorithm using a hybrid sampling method. The hybrid sampling method is an integration of several sampling methods. In this test, the performance of the random sampling method will be compared with the performance of the hybrid sampling method in terms of computation time. The test of the hybrid sampling method on the Informed-RRT* algorithm is based on simulation and is carried out in a narrow, clutter, trap environment. The results obtained from this test are that the use of the hybrid sampling method on the Informed-RRT* algorithm is able to produce a faster average computation time performance of 26.4 seconds when compared to the random sampling method in a cluttered environment. In a narrow environment, the hybrid sampling method produces a computation time of 24.52 seconds faster than the random sampling method. In the trap environment, the hybrid sampling method produces a computation time of 5.25 seconds faster than the random sampling method. From the test data, this hybrid sampling method can be an alternative sampling method to be used in the Informed-RRT* algorithm.
Humanisasi Pengemis dalam Perspektif Yusuf al-Qaradhawi Miftah Fauzi; Suadi Sa`ad; Ade Fakih Kurniawan
Jurnal Keislaman Vol. 8 No. 2 (2025): Jurnal Keislaman
Publisher : Sekolah Tinggi Agama Islam Taruna Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54298/jk.v8i2.619

Abstract

The phenomenon of beggars is a complex social problem, especially in a country with a Muslim majority. Islam views poverty as a problem that must be overcome with the principles of social justice and economic empowerment. This study aims to examine Yusuf al-Qadawi's thoughts on the humanization of beggars from an Islamic perspective, which includes the empowerment of beggars, the role of the state in the fair distribution of wealth, and social rehabilitation approaches. This study uses a literature study method by analyzing books, articles, and scientific works that discuss al-Qardawi thought and social justice in Islam. The results of the study show that al-Qardawi emphasizes the empowerment of beggars through skills training and the provision of business capital, not just material assistance. Al-Qardawi also proposed that the state play a role as a facilitator in the policy of equitable distribution of wealth, to reduce social inequality and provide economic opportunities to the poor. This study concludes that al-Qardawi thought provides a sustainable solution in overcoming poverty by prioritizing empowerment and social integration. This approach shows that Islam offers practical solutions to social problems with more holistic principles of social justice and empowerment.
Co-Authors Ade Fakih Kurniawan Muhammad Aria Rajasa Pohan Suadi Sa`ad