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All Journal Indonesian Journal of Business Analytics (IJBA) Jurnal Farmasi Indonesia Jurnal Ilmiah Pendidikan Citra Bakti
Nursyifa
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Mathematics Medicine & Pharmacology Other

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Protection of Models Due to Defaults in Agreements in the Modeling Industry Wafa Az-Zahra; Tiara Sakinah Najat; Nursyifa; Moh Sigit Gunawan; Raden Handiriono
Indonesian Journal of Business Analytics Vol. 5 No. 3 (2025): June 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijba.v5i3.14556

Abstract

A work agreement between a modeling agency and a talent model is a contract that regulates the rights and obligations of both parties. However, agencies often make mistakes, including paying the talent model late.  This study aims to examine the types of defaults that often occur in modeling agreements and the legal protection that can be provided to the model as an aggrieved party.  Using a normative juridical approach and looking at the practice of agreements and court rulings in this industry, it was found that legal protection of the model is still lacking.  This is due to poor contract clauses, poor understanding of the model, and lack of oversight from the relevant agencies. Therefore, regulations must be improved to protect the model from infringement, and fairer agreements are needed. Article 1243 of the Civil Code (Civil Code) states that the guilty party must pay the aggrieved party. Suppose the modeling agency is late in paying the talent model's salary. In that case, they are responsible for promptly paying according to the contract, paying the model's losses, paying a fine if there is a penalty clause, and facing legal consequences if the delay causes negative impacts.
EFEKTIVITAS MODEL PROBLEM-BASED LEARNING, PICTURE AND PICTURE, DAN JIGSAW UNTUK MENINGKATKAN FOKUS BELAJAR SISWA SD Azizah, Nurul; Adawiah, Rabiatul; Riduan, Muhammad; Ridhoni, Akhmad Zaki; Rafiah, Siti; Annisa, Nur; Nursyifa; Aprina, Desty Rezky; Hidayat, Ari
Jurnal Ilmiah Pendidikan Citra Bakti Vol. 12 No. 2 (2025): Jurnal Ilmiah Pendidikan Citra Bakti
Publisher : STKIP Citra Bakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38048/jipcb.v12i2.5302

Abstract

Penelitian ini menganalisis strategi guru dalam meningkatkan fokus belajar siswa dengan model RAKAT, yang mengombinasikan Problem-Based Learning (PBL), Picture and Picture (P&P), serta Jigsaw. Fokus belajar merupakan faktor kunci dalam keberhasilan proses pembelajaran, di mana siswa yang memiliki tingkat konsentrasi tinggi dapat memahami materi dengan lebih baik, namun kurangnya konsentrasi dapat menghambat pemahaman dan pencapaian akademik siswa. Penelitian ini menggunakan metode kualitatif deskriptif dengan teknik pengumpulan data melalui studi literatur, wawancara, observasi, dan pencatatan. Instrumen penelitian mencakup pedoman wawancara, lembar observasi, dan dokumentasi. Data yang diperoleh dianalisis melalui reduksi data, penyajian data, serta penarikan kesimpulan untuk memastikan validitas hasil penelitian. Subjek penelitian meliputi guru kelas 4, siswa kelas 4, dan kepala sekolah di SDN Telawang 4. Hasil menunjukkan bahwa model RAKAT efektif dalam meningkatkan fokus belajar siswa pada mata pelajaran PPKn. Model ini menciptakan suasana belajar yang lebih interaktif, menarik, serta mendorong kolaborasi siswa. Temuan ini berkontribusi pada pengembangan strategi pembelajaran inovatif untuk meningkatkan keterlibatan siswa dalam proses belajar.
Potensi Interaksi Obat Antihiperlipidemia Pada Pasien Stroke Iskemik Rawat Inap Di RS X Kabupaten Indragiri Hilir Tahun 2022 Nursyifa; Hadriyati, Armini; Yuliandani
JFIOnline | Print ISSN 1412-1107 | e-ISSN 2355-696X Vol 17 No 2 (2025): Jurnal Farmasi Indonesia
Publisher : Pengurus Pusat Ikatan Apoteker Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35617/jfionline.v17i2.196

Abstract

Abstract: Ischemic stroke is caused by a blockage or blood clot that occurs in the brain. Stroke has various risk factors and complications that cause patients to receive many medications (polypharmacy). Polypharmacy can increase the potential for drug interactions that can harm patients. One of the treatment options for ischemic stroke is antihyperlipidemic therapy. Antihyperlipidemia statin group is the first choice of treatment of hyperlipidemia. The purpose of this study was to determine the types of antihyperlipidemic drugs, types of comorbidities, types of mechanisms and severity in stroke patients receiving antihyperlipidemic therapy at X Hospital, Indragiri Hilir Regency in 2022. Data were collected retrospectively in the form of 57 medical records of ischemic stroke patients with therapy inpatient antihyperlipidemia. Data analysis was carried out descriptively. Based on the results of the study it was concluded that the potential for drug interactions occurred in 87 (26.69%) cases that experienced interactions and 239 cases (73.31%) did not experience drug interactions. Based on the type of interaction, there were 84 pharmacokinetic interactions (96.55%) and pharmacodynamic mechanisms in 3 cases (3.45%). Based on the strength of the interaction, major interactions were found in 15 (17.24%) cases, moderate severity in 71 (81.61%) cases, and minor severity in 1 (1.15%) cases. Based on the interacting drugs, there were 3 most, namely atorvastatin with amlodipine 27 cases (31,03%), atorvastatin with clopidogrel 16 cases (18,40%), and simvastatin with amlodipine 15 cases (17,24%). For the statistical analysis of the chi square test, there was a significant relationship between severity and the number of drugs p=0.004, severity and age p=0.003, and there was no significant relationship between severity and comorbidities p=0.236. Keywords: Antihyperlipidemia, Drug Interactions, Ischemic Stroke
Co-Authors Aprina, Desty Rezky armini hadriyati, armini Hidayat, Ari Moh Sigit Gunawan Muhammad Riduan, Muhammad Nur Annisa NURUL AZIZAH Rabiatul Adawiah Raden Handiriono Rafiah, Siti Ridhoni, Akhmad Zaki Tiara Sakinah Najat Wafa Az-Zahra Yuliandani