Article Per Year (5 Year)
p-Index From 2021 - 2026
4.882
P-Index
This Author published in this journals
All Journal El Tarbawi al-Afkar, Journal For Islamic Studies Awang Long Law Review Jurnal Ilmiah Penegakan Hukum Pena Justisia: Media Komunikasi dan Kajian Hukum Jurnal Sosiohumaniora Kodepena (JSK) Entrepreneurship Bisnis Manajemen Akuntansi (E-BISMA) YURISDIKSI : Jurnal Wacana Hukum dan Sains Jurnal Penelitian Keperawatan Kontemporer (JPKK) Jurnal Kolaboratif Sains International Journal of Science and Society (IJSOC) Jurnal Gagasan Hukum Jurnal DiMas (Jurnal Pengabdian Kepada Masyarakat) Data Sciences Indonesia (DSI) JAKTABANGUN: Jurnal Akuntansi dan Pembangunan JURNAL KESEHATAN IBU DAN ANAK (KIA) Agents: Journal of Artificial Intelligence and Data Science International Journal of Trends in Accounting Research International Journal of Law and Society Indonesian Journal of Multidisciplinary Scientific Studies Jurnal KALANDRA ADM : Jurnal Abdi Dosen dan Mahasiswa Journal of Transcendental Law Ameena Journal Fundamental : Jurnal Ilmiah Hukum JPEMAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Serambi Ilmu Jurnal Cahaya Edukasi Journal of Islamic Economic Laws Proceedings of The International Conference on Computer Science, Engineering, Social Sciences, and Multidisciplinary Studies
Rizka
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

Published : 34 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 34 Documents
Search

 1   2   3   4 
Measuring the Resilience of Indonesian Islamic Bank Through the RGEC Model Azhar, Iqlima; Rizka
INTERNATIONAL JOURNAL OF TRENDS IN ACCOUNTING RESEARCH Vol. 6 No. 2 (2025): International Journal of Trends in Accounting Research (IJTAR), November 2025
Publisher : Asosiasi Dosen Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54951/ijtar.v6i2.1192

Abstract

The purpose of this study is to assess the health of Islamic commercial banks using the RGEC technique, which comprises Risk Profile, Good Corporate Governance, Earnings (Rentability), and Capital. Methods of this study employ a quantitative approach based on secondary data from Islamic Commercial Bank financial reports spanning 2015-2024. In this study, descriptive analysis with the RGEC approach was utilized to determine the health of banks. According to the study's findings, the health of Islamic Commercial Banks from 2015 to 2024 has a composite rating of 1 (PK - 1), placing them in the "Very Healthy" category. The NPF ratio is used to analyze the health of Islamic Commercial Banks for the 2015-2024 period, and it ranks one in the extremely healthy group. The assessment of the health level of Islamic Commercial Banks for the period 2015-2024 on the GCG (Good Corporate Governance) aspect using the Self Assessment ratio places them second in the healthy category. The ROA ratio is used to analyze the health of Islamic Commercial Banks for the period 2015-2024 on the Earning (Profitability) component, and it ranks 1 in the very healthy category. The CAR ratio is used to analyze the capital adequacy health of Islamic commercial banks for the period 2015-2024, and it ranks 1 in the extremely healthy category. Implication of this research is that Islamic banks can be categorized as "very healthy" in the 2015-2024 period, thus supporting the theory that the Islamic-based financial system has high resilience to the economic pressure.
Campur Kode pada Tuturan Zee Asadel dalam Siniar Chitchart rizka
Jurnal Cahaya Edukasi Vol 2 No 4 (2025): Jurnal Cahaya Edukasi: Oktober
Publisher : Cahaya Smart Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63863/jce.v2i4.194

Abstract

Penelitian ini membahas penggunaan campur kode pada tuturan Zee Asadel dalam salah satu episode podcast ChitChart. Penggunaan campur kode dalam siniar menjadi fenomena menarik karena menunjukkan dinamika. bahasa anak muda yang hidup dalam lingkungan bilingual dan dipengaruhi budaya digital. Penelitian ini bertujuan untuk mendeskripsikan bentuk dan jenis campur kode yang digunakan oleh Zee, mengidentifikasi kecenderungan bahasa yang paling dominan, serta menjelaskan faktor yang melatarbelakangi kemunculan campur kode tersebut. Penelitian ini menggunakan metode deskriptif kualitatif dengan teknik simak catat dalam pengumpulan data. Hasil penelitian menunjukan bahwa terdapat 66 unsur campur kode. Unsur tersebut terdiri atas 32 data berbentuk kata bahasa Inggris, 31 data berupa frasa bahasa Inggris, 2 data berupa baster, dan 1 data berupa frasa bahasa Arab. Dari keseluruhan data, bahasa Inggris menjadi unsur campur kode yang paling dominan. Dominasi tersebut dipengaruhi oleh gaya komunikasi anak muda, kedekatan dengan budaya pop, serta situasi percakapan yang santai. Secara keseluruhan, penelitian ini menunjukkan bahwa gaya tutur Zee Asadel mencerminkan gaya komunikasi generasi muda yang fleksibel, ekspresif, dan akrab dengan penggunaan bahasa asing dalam interaksi informal.
Analysis of User Interaction Association Patterns in E-Learning Systems Using the Apriori Algorithm Rizka; Berutu, Asro Hayati; Nabawy, Putri; Pratama, Haris; Supiyandi
Proceedings of The International Conference on Computer Science, Engineering, Social Science, and Multi-Disciplinary Studies Vol. 1 (2025)
Publisher : CV Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/cessmuds.v1.30

Abstract

The development of e-learning systems has generated a vast volume of user interaction data. Every activity—such as logging in, viewing materials, taking quizzes, and downloading assignments—contains valuable information that can be leveraged to enhance the effectiveness of online learning systems. This study aims to analyze user interaction association patterns in an e-learning system using the Apriori algorithm. A data mining approach was employed to identify relationships among features frequently accessed together, with a minimum support threshold of 0.4, minimum confidence of 0.6, and lift > 1.0. The dataset used consists of simulated (dummy) data representing seven user transactions and five main e-learning features. The analysis produced eight significant association rules with lift values above 1.0, indicating non-random relationships among features. Feature combinations such as {login} → {view_material} and {take_quiz} → {view_score} exhibited strong relationships, with confidence values reaching 0.75. These findings suggest the existence of dominant user interaction patterns that can be utilized to optimize navigation design, recommendation features, and overall user experience in e-learning systems. This research contributes to the application of the Apriori algorithm for exploring user access patterns in online education contexts, providing an analytical foundation for developing more adaptive and behavior-driven systems.
The Medicolegal Application of Artificial Intelligence as Doctors’ Medical Assistants in Medical Services in Indonesia Sugihardana, Danang; Rizka; Azhari, Aidul Fitriciada
Pena Justisia: Media Komunikasi dan Kajian Hukum Vol. 23 No. 2 (2024): Pena Justisia
Publisher : Faculty of Law, Universitas Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31941/pj.v23i3.5055

Abstract

This study examines the implementation of AI in medical services in Indonesia from a medicolegal perspective, highlighting the urgent need for the development of a robust legal and ethical framework to ensure responsible and safe use of AI while protecting patients' rights and privacy. The problem of the research is to analyze how medical ethics and the positive law in Indonesia regulate the application of Artificial Intelligence (AI) as medical assistance for doctors in medical services. This research employed a combination of the normative juridical approach method and the conceptual analysis approach. Results found that AI regulations in Indonesia are still in the developmental stages and lack specificity. Thus, in cases of errors in AI usage, the legal responsibility remains with the doctors who employed this technology as a tool. This underscores the importance of stringent oversight and the development of more detailed regulations as AI adoption in the medical sector in Indonesia continues to grow.
Co-Authors A. Hamid Abdul Wahab Absori Absori Adityo Wiwit Kurniawan Administrator Jurnal Adnanda Yudha Rhealdi Afif Agus Kurniawan Agus Kurniawan Aidul Fitriciada Azhari Alam, Faizan Ali Wafa Arifin, Achmad Januar Asmiyanti Mahmud Asri Praputri Azhar Alam Azhar, Iqlima Berutu, Asro Hayati Cahyadi, Bhagaskara Daing, Crisanto A. Daniel Happy Putra Deden Nurjaman, Deden Devi Agustini Dewi Farha Dewi Ningsih Dimas Aji Novianto Eny Winaryati Fadhilah, Asri Nur Fadhlulloh, Qolbi Hanif Farika Danis Sholehah Fariz Primadi Fatni Kidjab Febri Adriati Febriani, Hanifah Hamdi Angka , Moh Hanifah Kusumastuti Harun Helvi Etmawati Gae Honest, Irianto Ibrahim ILHAM Imron Rosyadi Irham Maulana Laia, Julianto M. Fraja Yuda Magfirah, Magfirah Mahya Mardiyah Hayati Marwiyah Mas’ad Meyti Mhd Furqan Miftahul Jannah Mintasrihardi MP, Benny Muh Syukran Muhamad Taufik Hidayat Muhammad Ali Muhammad Khalis Ilmi Mursyidi MUSLIMIN Muthoifin Mutia, Ratna Nabawy, Putri Nining Fitrianingsih, Nining Nur Anisa Nurhayati Nurlaela Nurlina Nurul Annisa Pilasari, Nyoman Pratama, Haris Putri Robiatul Qalbiy Sinta Qolbi, Fikri 'Ainul Rica Dayani, Tiara Rizka Mutthoharoh Rizki, Eni Robert V Pelima Ruhaza, Vona Salman Saputri, Heni Silkawati Humu Slamet Raharjo Sugihardana, Danang Sulistyo, Fajar Adhie Sunarti Hanafi Supiyandi Supiyandi Suyadi Suyadi Syarifa, Gizha Triana Putri, Sasni Trisaksono, Ario Urug Muhammad Hatta Vivi Walangadi Wardah Yuspin Widyari, Dira Putri Yenni Agustina YUNITA Zahrul Fuad Zuhrivina