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All Journal Religio : Jurnal Studi Agama-agama Jurnal Aksioma Ad Diniyah : The Indonesian Journal of Islamic Studies Jurnal Sains Informatika Terapan (JSIT)
Ade Budiman, Ade
Sekolah Tinggi Aagama Islam Wasilatul Falah, Rangkasbitung
Religion Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Social Sciences

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PENAFSIRAN QURAISH SHIHAB TENTANG AL-FATH DALAM QS. AL-NASHR Budiman, Ade
Mutawatir : Jurnal Keilmuan Tafsir Hadith Vol. 1 No. 1 (2011): JUNI
Publisher : Program Studi Perbandingan Agama, Fakultas Ushuluddin dan Filsafat, Universitas Islam Negeri (UIN) Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (585.868 KB)

Abstract

Every interpretation is a product of a mufassir, so that different interpreters, it will be have different products. This is going to try to be revealed in this article. However, this interpretation will be discussed is the interpretation of one of the characters Indonesian interpreter, M. Quraish Shihab. We explain it by review this monumental work, Tafsir al-Misbah. Differences in interpretation that will be shown taking sample of the word al-Fath in the surah al-Nasr. This paper concludes that the meaning of al-Fath in the Tafsir al-Mishbah is opening everything covered, either in the form of material and spiritual. Thus, al-Fath covers two things; the first, something that can be reached with a biological eye (and other senses), such as; open the door and close it. Secondly, something which can be reached with the eyes psychological, such as; opening distress and eliminate misery.
Menyoal Kebohongan Publik konteks Aplikasi Maqashid Syari’ah Di Era 5.0 Budiman, Ade
E-Jurnal Aksioma Ad Diniyyah : The Indonesian Journal of Islamic Studies Vol 13 No 1 (2025)
Publisher : LPPM STAI La Tansa Mashiro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55171/jad.v13i1.1362

Abstract

Recently now, that we were shocked by the news event both national and international levels, it’s about related to public lies that occur in Indonesian society, whether it's personal person’s, or comunal goup’s, or institutional institutions, it’s namely a policy justice that is blunt at the top and sharp at the bottom, and it’s as if giving a color to us of injustice that is evenly distributed among Indonesian society, especially among Muslims, it’s talks about the existence of a figure of person’s or group’s that has a strata rating at at the executive, judicial and legislative levels, which in this case violates the law when viewed from the existing facts and reality, so that in the context of Maqashid Syari'ah, This Study aims to discuss about public lies in the context of the Maqashid Syari'ah review it is necessary to review the potential for this public lies. with the sole intention of providing clear arguments and enlightenment regarding the existence of this phenomenon among Indonesian society. especially in the era 5.0 or society 5.0.
Klasifikasi Nilai Ujian Siswa Berdasarkan Kebiasaan Belajar Menggunakan K-Nearest Neighbor dan Support Vector Machine Kotjek, Rafie; Pricillia; Wijaya, Filzah; Wahyudi, Mochamad; Sumanto; Budiman, Ade
Jurnal Sains Informatika Terapan Vol. 4 No. 2 (2025): Jurnal Sains Informatika Terapan (Juni, 2025)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v4i2.612

Abstract

Kinerja akademik siswa merupakan indikator penting keberhasilan belajar, namun penilaian konvensional sering kali belum optimal dalam memanfaatkan data kebiasaan dan gaya hidup siswa. Penelitian ini bertujuan untuk mengklasifikasikan nilai ujian siswa (Rendah, Sedang, Tinggi) berdasarkan kebiasaan belajar menggunakan algoritma K-Nearest Neighbor (kNN) dan Support Vector Machine (SVM), serta membandingkan performa keduanya. Data sebanyak 1000 entri siswa dari Kaggle.com diolah melalui tahap pra-pemrosesan yang meliputi diskritisasi nilai ujian menjadi kategori dan pemilihan fitur yang relevan, seperti jam belajar, persentase kehadiran, waktu tidur, dan peringkat kesehatan mental. Pembagian data dilakukan dengan random sampling (90% training dan 10% testing) yang diulang 10 kali. Hasil evaluasi menunjukkan kNN dengan N=10 mencapai akurasi tertinggi 0.982. Sementara itu, SVM dengan kernel Linear memperoleh akurasi 0.974 , diikuti RBF dengan 0.939 , dan Polynomial dengan 0.946 , sedangkan kernel Sigmoid hanya 0.712. Performa terbaik kNN (N=10) lebih lanjut dikonfirmasi melalui confusion matrix, menunjukkan tingkat kesalahan klasifikasi yang sangat rendah dan prediksi yang konsisten. Penelitian ini menyimpulkan bahwa algoritma k-NN, khususnya dengan N=10, adalah pendekatan yang paling akurat dan efektif untuk klasifikasi nilai ujian berdasarkan kebiasaan siswa, mendukung pihak sekolah dalam prediksi dan perencanaan pendidikan yang lebih baik.
Co-Authors Kotjek, Rafie Mochamad Wahyudi Pricillia Sumanto, Sumanto Wijaya, Filzah