Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Istidlal: Jurnal Ekonomi dan Hukum Islam Conten : Computer and Network Technology
Ubaidillah , Ubaidillah
Unknown Affiliation
Religion Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice Social Sciences

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

Found 2 Documents
Search

 1 
Tinjauan Istihsan terhadap Bai’ Al-Wafa’ dan Implikasi Konsistensi Bermadzhab di Baitul Maal Wa Tamwil Sidogiri Cabang Bondowoso Ubaidillah , Ubaidillah; Nawawi, Nawawi
Istidlal: Jurnal Ekonomi dan Hukum Islam Vol 1 No 2 (2017)
Publisher : Program Pascasarjana Universitas Ibrahimy

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (357.713 KB) | DOI: 10.35316/istidlal.v1i2.103

Abstract

The birth of the first Syaria Bank in Indonesia is PT Bank Muamalat Indonesia (BMI). However, lately many emerging syaria-based financial institutions other, cultivated syaria cooperative in the form of BMT. While the legal basis bai 'al-wafa' according Hanafi’s madhhab is istihsan. Istihsan is the turning of a mujtahid from qiyas street jaly (real) to qiyas the khafi (vague) or the turning of a mujtahid from law kulli (general) to the law istitsna`i. The result of the research shows the bai 'al-wafa agreement in BMT Sidogiri Bondowoso Branch is in accordance with the existing syariat in syaria economic theory. because it has fulfilled the terms and conditions, there are many differences among the ulama. But it can be underlined that this contract is based on the concept of mature istihsan, so it can be applied in Islamic finance institutions and the implications of consistent following this madhab is very good because it does not come out of the line Ahlussunnah Wal jama'ah which became a pillar firm for the Islamic religion.
ANALISIS PERBANDINGAN ALGORITMA NAIVE BAYES DAN KNN UNTUK ANALISIS SENTIMEN ULASAN PENGGUNA APLIKASI VIDIO DI GOOGLE PLAY STORE Pratmanto, Dany; Widayanto, Aprih; Kristania, Yustina Meisella; Ubaidillah , Ubaidillah; Wijianto, Ragil
CONTEN : Computer and Network Technology Vol. 4 No. 2 (2024): Desember 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/conten.v4i2.6891

Abstract

Penelitian ini mengkaji efektivitas algoritma Naive Bayes (NB) dan K-Nearest Neighbors (KNN) dalam analisis sentimen ulasan pengguna aplikasi Vidio di Google Play Store. Evaluasi kinerja kedua model dilakukan menggunakan berbagai metrik, termasuk akurasi, precision, recall, dan Area Under Curve (AUC). Hasil penelitian menunjukkan bahwa KNN mengungguli Naive Bayes dalam beberapa aspek penting. KNN mencapai akurasi 74.92% dibandingkan dengan Naive Bayes sebesar 71.32%. Dalam hal precision, KNN juga menunjukkan performa yang lebih baik dengan nilai 76.52%, sementara Naive Bayes mencapai 71.61%. Meskipun demikian, kedua model menunjukkan kinerja yang sebanding dalam hal recall, dengan KNN mencapai 72.54% dan Naive Bayes 71.46%. Yang menarik, kedua model memiliki nilai AUC yang sangat tinggi dan hampir setara, yaitu 90.10% untuk KNN dan 90.00% untuk Naive Bayes, menunjukkan kemampuan yang sangat baik dalam membedakan sentimen positif dan negatif. Berdasarkan hasil evaluasi secara keseluruhan, algoritma KNN lebih direkomendasikan untuk implementasi analisis sentimen pada ulasan pengguna aplikasi Vidio.
Co-Authors Aprih Widayanto Dany Pratmanto Nawawi Nawawi Ragil Wijianto Yustina Meisella Kristania - STMIK Nusa Mandiri Jakarta, Yustina Meisella Kristania