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Anti-breast cancer bioactive compounds and in-silico molecular prediction of Crassostrea angulata (Lamarck, 1819): Prediksi senyawa bioaktif antikanker payudara dan molekuler in-silico Crassostrea angulata (Lamarck, 1819) Kusumawati, Rr Puji Hastuti; Zamani, Neviaty Putri; Soedharma, Dedi; Nurjanah, Nurjanah; Arifin, Taslim; Yulius, Yulius; Samusamu, Andrias Steward; Akhwady, Rudhy; Ramdhan, Muhammad; Damanhuri, Harfiandri; Efendi, Eko; Mayaguezz, Henky; Muhaemin, Moh.
Jurnal Pengolahan Hasil Perikanan Indonesia Vol. 28 No. 1 (2025): Jurnal Pengolahan Hasil Perikanan Indonesia 28(1)
Publisher : Department of Aquatic Product Technology IPB University in collaboration with Masyarakat Pengolahan Hasil Perikanan Indonesia (MPHPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17844/jphpi.v28i1.57937

Abstract

Kanker payudara merupakan penyebab kematian kedua terbanyak di Indonesia. Bioprospeksi senyawa bioaktif dari organisme laut diharapkan dapat menjadi salah satu solusi pencegahan kanker payudara. Crassostrea angulata merupakan salah satu spesies tiram laut yang biasa dikonsumsi dan memiliki sejarah etnomedik di kalangan masyarakat Indonesia. Penelitian ini bertujuan untuk mengevaluasi potensi senyawa bioaktif antikanker dari ekstrak metanol C. angulata menggunakan analisis in-silico. Identifikasi senyawa aktif C. angulata menggunakan LC-HRMS melalui pendekatan molecular docking dengan mengombinasikan program-program KNApSAcK, CLC-Pred, SEA, STRING, PubChem, UniProt, PyMOL, PyRx, and PoseView. Hasil penelitian menunjukkan 12 senyawa aktif antikanker pada C. angulata, namun hanya 2 senyawa antikanker payudara (Flufenamic Acid, FA dan Hymenamide C, HC). Hasil molecular docking menunjukkan bahwa binding affinity yang kuat antara senyawa aktif Flufenamic Acid (FA) dengan protein target kanker payudara (CSF1R, PLK4, MKNK2, dan ABL1) dan senyawa Hymenamide C (HC) dengan protein target kanker payudara (GRB2 dan OXTR). Senyawa bioaktif FA menunjukkan nilai RMSD yang lebih rendah (mendekati 0Å) dengan ligan asli dari masing-masing protein target. FA memiliki potensi sebagai senyawa antikanker payudara yang lebih baik dari HC. Senyawa FA dan HC berpotensi sebagai penghambat protein target kanker payudara, namun masih memerlukan penelitian lebih lanjut terutama untuk penggunaan senyawa tersebut pada manusia.
THE INFLUENCE OF CURRICULUM RELEVANCE AND TEACHER COMPETENCE ON STUDENT SATISFACTION AT PKBM ANANDA BAIK ISLAMIC SCHOOL CIANJUR Ramdhan, Muhammad
JURNAL ASIK Vol 3 No 3 (2025): JURNAL ASIK: Jurnal Administrasi, Bisnis, Ilmu Manajemen, & Kependidikan
Publisher : BAIK Publishers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59639/asik.v3i3.120

Abstract

This study aims to analyse the influence of curriculum relevance and teacher competence on student satisfaction at PKBM Ananda Baik Islamic School in Cianjur, Indonesia. Using a quantitative explanatory design, the research involved 50 students from Paket A (elementary equivalency), Paket B (junior high equivalency), and Paket C (senior high equivalency) in the 2025/2026 academic year, selected through accidental sampling. Data were collected using questionnaires measuring curriculum relevance, teacher competence, and student satisfaction, and were analysed through correlation tests, coefficients of determination, t-tests, and F-tests. The findings show that curriculum relevance has a significant effect on student satisfaction, with a correlation coefficient of ???? = 0.563 and ????2 = 0.317, while teacher competence also has a significant effect, with ???? = 0.621 and ????2 = 0.385. Simultaneously, curriculum relevance and teacher competence significantly influence student satisfaction, indicated by ???? = 0.656, ????2 = 0.431, and an F-value of 17.781 with a significance level of 0.000, suggesting that improvements in both variables jointly enhance student satisfaction at PKBM Ananda Baik Islamic School Cianjur.
Penerapan Prinsip Keadilan dalam Pembagian Risiko Kontrak Proyek Oil And Gas Ramdhan, Muhammad; Samian, Samian
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v11i1.63573

Abstract

Oil and gas projects are characterized by high technical complexity, large capital investment, and significant risk exposure, including technical, cost and time, health and safety (HSE), environmental, commercial, and regulatory risks. Contract design in oil and gas projects—particularly EPC/EPCI contracts and Production Sharing Contracts (PSC)—often raises issues of fairness in risk allocation between project owners and contractors. Imbalanced risk allocation practices tend to increase bid prices, trigger claims, and lead to contractual disputes. This article analyzes the application of fairness principles in risk allocation for oil and gas project contracts using a qualitative–normative approach through literature review and doctrinal analysis. The study integrates project risk allocation concepts, theories of fairness in contract law, and international standard practices such as FIDIC 2017 and knock-for-knock clauses. The findings indicate that fairness in risk allocation can be operationalized through criteria of control, capability, risk–reward symmetry, procedural transparency, and systemic impact. This article proposes a Fairness-Oriented Risk Allocation Framework (FORAF) as a conceptual approach to evaluate and design fairer risk allocation in oil and gas contracts. The framework is expected to reduce dispute potential and enhance the sustainability and performance of oil and gas projects, particularly in developing countries such as Indonesia.
Artificial Intelligence Adoption and Generation Z Work Adaptation Sidjabat, Sonya; Tjiwidjaja, Halim; Ramdhan, Muhammad; Sutariyono, Sutariyono
Journal of Business Management and Economic Development Том 4 № 01 (2026): Journal of Business Management and Economic Development
Publisher : PT. Riset Press International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59653/jbmed.v4i01.2343

Abstract

The rapid development of artificial intelligence (AI) has significantly transformed workplace practices and employee work patterns. This study aims to analyze the relationship between AI adoption and Generation Z work adaptation in workplaces in Cianjur Regency. The research focuses on how AI implementation influences employee adaptation, organizational support, digital work culture, and work performance. A quantitative research approach was employed using survey data collected from Generation Z employees working in various organizations in Cianjur Regency. The data were analyzed using statistical techniques to examine the relationship between AI adoption, work adaptation, and employee performance. The findings indicate that Generation Z employees demonstrate a high level of adaptability to AI-based work environments due to their familiarity with digital technologies and openness to technological innovation. AI adoption was found to enhance work efficiency, facilitate information processing, and support data-driven decision-making. In addition, organizational support and a supportive digital work culture play an important role in strengthening employees’ ability to integrate AI tools into their daily work activities. The study also reveals that AI adoption positively influences employee work performance and contributes to improved productivity and workplace effectiveness. These findings highlight the importance of strengthening digital competencies and organizational support systems to optimize AI implementation and support sustainable workforce development in regional workplaces.