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All Journal Murobbi: Jurnal Ilmu Pendidikan JPP Jurnal Kesehatan Poltekkes Palembang Jurnal Manajemen dan Administrasi Rumah Sakit Indonesia (MARSI) Psychiatry Nursing Journal (Jurnal Keperawatan Jiwa) Jurnal Independent Pengabdian Kampus: Jurnal Informasi Kegiatan Pengabdian Pada Masyarakat Jurnal Pengabdian kepada Masyarakat Jurnal As-Syar’i: Jurnal Bimbingan & Konseling Keluarga Gudang Jurnal Pengabdian Masyarakat Jurnal Riset Multidisiplin Edukasi BIO PALEMBANICA Computing and Information System Journal
NUR ARIFAH
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Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Other

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OPTIMIZATION OF LAYING DUCKS FEED COMPOSITION USING THE K-MEANS CLUSTERING ALGORITHM METHOD IN SECANG SUBDISTRICT Arifah, Nur; Primadewi, Ardhin; Yudatama, Uky
Computing and Information System Journal Vol. 1 No. 3 (2025): Data Science, UI/UX, and E-Government for Decision Making
Publisher : IndoCompt Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Indonesia has significant potential in duck farming, particularly as a source of eggs and meat. However, the productivity of local laying ducks remains low due to the traditional feed management practices still widely used. In Secang District, Magelang Regency, farmers often determine feed composition based on availability and peer recommendations without proper consideration of nutritional requirements. This leads to imbalanced nutrition, negatively affecting egg production. This study aims to provide optimal feed composition recommendations using the K-Means Clustering algorithm. The algorithm clusters feed data based on nutritional content and egg production performance. Through this approach, farmers are expected to gain more accurate and efficient information in determining feed composition, thereby improving productivity, reducing operational costs, and enhancing product quality. Furthermore, this research contributes to the development of knowledge in both information technology and animal husbandry by applying machine learning techniques in the agricultural sector.
Mass Mortality of Water Buffalo Bubalus bubalis (Artiodactyla: Bovidae) in Indonesia: A Two-Decade Retrospective Diah Komala Sari; Arfan Abrar; Nur Arifah; Gusti Ayu Widayanti; Arisandi, Muhammad Diki Wahyu; Ina Aprillia; Muhammad Iqbal
BIO PALEMBANICA Vol 2 No 2 (2025): Bio Palembanica
Publisher : Lembaga Penelitian, Pengabdian Kepada Masyarakat dan Kepustakaan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/bio.v2i2.5916

Abstract

Water Buffalo Bubalus bubalis are an essential livestock species in Indonesia. However, mass mortality events have been reported in recent years, highlighting the need for better understanding and management of the causes of these cases. This study presents the first comprehensive retrospective analysis of B. bubalis mortality events in Indonesia between 2010 and 2025. Data were compiled from scientific reports, government records, media coverage, and citizen science platforms. A total of 34 documented events were identified, with most attributed to infectious diseases, particularly Septicemia Epizootica (SE) caused by Pasteurella multocida. Environmental stressors such as floods and droughts, along with parasitic infections like Surra, were also contributing factors. Mortality peaks occurred in 2013 and 2023, each involving hundreds of deaths in single outbreaks. These findings underscore the urgent need for region-specific disease surveillance, vaccination programs, and improved husbandry practices.
From Waters to Screens: Wild Betta Betta spp. (Anabantiformes: Osphronemidae) Trading in Indonesia’s Online Marketplaces Nur Arifah; Diah Komala Sari; Gusti Ayu Widayanti; Randi Syafutra; Ina Aprillia; Muhammad Iqbal
BIO PALEMBANICA Vol 2 No 2 (2025): Bio Palembanica
Publisher : Lembaga Penelitian, Pengabdian Kepada Masyarakat dan Kepustakaan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/bio.v2i2.6201

Abstract

Indonesia hosts a remarkable diversity of freshwater fishes, including numerous endemic wild Betta Betta spp. (Anabantiformes: Osphronemidae). However, the rise of e-commerce has facilitated unregulated online trade of wild Betta species. This study investigates the diversity, conservation status, and trade dynamics of wild Betta species between 1–21 October 2025, in Indonesia’s three largest online marketplaces: Shopee, Tokopedia, and Lazada. A total of 38 wild Betta species were identified, including five Critically Endangered, eleven Endangered, and seven Vulnerable taxa. The trade was dominated by species from Sumatra and Kalimantan, which together accounted for over 85% of endemic taxa. Market analysis revealed a positive correlation between rarity and price, with Endangered and Not Assessed species commanding the highest average prices. The presence of Critically Endangered species such as Betta hendra and B. burdigula indicates ongoing extraction from the wild despite conservation risks. Furthermore, nearly 26% of traded species remain Data Deficient or Not Assessed, reflecting critical knowledge gaps that hinder management and policy enforcement. The findings underscore the urgent need for stronger regulation of digital wildlife trade, improved conservation assessments, and promotion of captive breeding programs to reduce wild collection pressure.
OPTIMALISASI STANDAR PROSES DALAM PENGEMBANGAN KOMPETENSI LULUSAN DI MI RAUDLATUL MU'ALLIMIN MADIUN Rania Salsabila; Nur Arifah
Jurnal Riset Multidisiplin Edukasi Vol. 3 No. 1 (2026): Jurnal Riset Multidisiplin Edukasi (Januari 2026) In Press
Publisher : PT. Hasba Edukasi Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71282/jurmie.v3i1.1615

Abstract

MI Raudlatul Mu'allimin Madiun is one of the basic education that is in demand by the local community, because the programs in the institution can produce good output. Departing from this phenomenon, the author's initiative emerged to find out in depth about the optimization of the program so that it produces superior students. The strategy taken by the author to explore this phenomenon is by analyzing planning in the learning process and implementation/implementation of the learning process so that inhibiting factors and supporting factors can be identified in terms of supervision and assessment for students at MI Raudlatul Mu'allimin Madiun. The method used in this study is a descriptive qualitative method, meaning that researchers describe, describe and illustrate the data that has been collected so that they will obtain a general and comprehensive picture of the truth. The data collection methods used are observation, interviews, and documentation. The subjects of the study were the Principal, Deputy Curriculum, teachers/educators, and guardians of MI Raudlatul Mu'allimin Madiun. The data analysis method uses the source triangulation method. The results of the study show that the process standards in institutions use various methods, where the process/program produces students who are knowledgeable and have good morals, whose interests and talents are channeled, and who are competent educators.
Efek Antiproliferatif Ekstrak dan Fraksi Daun Mahoni pada Sel Hela Sari, Diah Komala; Arifah, Nur; Widayanti, Gusti Ayu
JPP JURNAL KESEHATAN POLTEKKES PALEMBANG Vol 20 No 2 (2025): JPP (Jurnal Kesehatan Poltekkes Palembang)
Publisher : Poltekkes Kemenkes Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36086/jpp.v20i2.2920

Abstract

Background: Cervical cancer is one of the leading causes of death among women, particularly in developing countries. The development of anticancer agents from natural sources such as mahogany leaves (Swietenia mahagoni (L.) Jacq.) continues to attract research interest due to their promising potential. This study aimed to evaluate the antiproliferative effects of ethanol extract and bioactive fractions of mahogany leaves on cervical cancer (HeLa) cells in vitro. Methods: This research employed an experimental quantitative approach. Mahogany leaves were extracted using ethanol and further fractionated with n-hexane, ethyl acetate, and ethanol-water. Cell viability was assessed using the MTT assay and an ELISA reader at a wavelength of 550 nm. Antiproliferative activity was determined by measuring cell doubling time after treatment using ½ IC₅₀ concentration of the active fraction. The phytochemical constituents in the active fraction were identified through thin-layer chromatography (TLC). Results: The ethyl acetate fraction exhibited significant antiproliferative activity with a doubling time of 59 hours, compared to 34 hours in the control group and 81 hours with cisplatin. Absorbance values at 72 hours were also lower than the control, indicating suppressed cell proliferation. Phytochemical analysis identified the presence of flavonoids, saponins, and limonoids as major bioactive candidates. Conclusion: The ethyl acetate fraction of mahogany leaf extract demonstrates antiproliferative activity against HeLa cells and shows potential for development as a natural anticancer agent.
Co-Authors 'Ulyan, Mohammad Ahmad Saefulloh Albany, Latif Wanda Anwar, Muhammad Ghozi Aprillia, Ina Ardhin Primadewi Arfan Abrar Arif, Muhammad Irfan Arisandi, Muhammad Diki Wahyu AS, Andi Indahwaty Diah Komala Sari Eka Verawati, Eka Erwanto, Angga Fahruddin Kurdi Gusti Ayu Widayanti Gustini Gustini Hadianto, Farmady Handayani, Evita Handika, Erdin Handika Sumarya Hidayat, Ahmad Taufiq Hikmah, Siti Dewi Husadah, Rosa Ina Aprillia Ismunandar Isnaini, Enik Kartika Cahyaningrum Maha, Egi Ispreidi Marzuki Muh. Faqih Syadat Muh. Nur Ruslan Muh. Wija Hadi Perdana Muhammad Iqbal Muhtar Said Munawaroh Naufal, Qinthar Alif Nitro Galenso Nur Alam Nurhidayat, Ahmad Fauzi Nurniati Pangaribuan, Helena Permatasari, Anisa Pradana, Faisal Ghozi Dika Prataman, Dimas Aldi Rahayu, Novi Putri Rahman, Ridho Ardi Ramadoni, Elmikosari Randi Syafutra Rania Salsabila Rohmah, Sisilia Inayatul Royani, Ahmad Sari, Diah Komala Sofyan, Ary Suisno sukmawati Susilawati, Putri Ubaidillah Uky Yudatama, Uky Ummu Kalsum Wiananda, Elsa Wizztyo Putri Widayanti, Gusti Ayu Yakin, Mohammad Yulistina, Imung Yuwono, Dian Kurniasari