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Pendekatan Machine Learning dalam Memetakan Kesesuaian Habitat Mal Yusuf, Daud; Karim, Muhammad; Tahir, Tahir; Saelan, Emy; Liayong Pratama, M. Iqbal
Geosfera: Jurnal Penelitian Geografi Vol 4, No 2 (2025): Geosfera : Jurnal Penelitian Geografi
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/geojpg.v4i2.36472

Abstract

Climate change and increasing anthropogenic pressure pose serious threats to endemic species with restricted distributions, such as the Maleo (Macrocephalon maleo) of Sulawesi. This study aims to model habitat suitability and potential distribution of the Maleo using an integrated Geographic Information System and Maximum Entropy approach. Presence-only occurrence data were combined with bio-physical and anthropogenic environmental variables to generate spatial predictions of habitat suitability across coastal and lowland landscapes. The model demonstrated strong predictive performance, indicating that the selected variables effectively captured the ecological requirements of the species. Habitat suitability patterns revealed that sandy soil characteristics, proximity to natural heat sources, and river systems were the most influential factors enhancing habitat suitability, reflecting the species’ unique reproductive ecology. In contrast, proximity to roads and settlements consistently reduced suitability, highlighting the negative impact of human disturbance. The continuous suitability output was further classified into core habitat and buffer zones to support conservation-oriented spatial planning. The resulting zoning framework identifies priority areas for protection and management, particularly outside formal protected areas where development pressure is high. Overall, this study provides robust spatial evidence for understanding Maleo habitat requirements and offers a transferable methodological framework for modeling other endemic species. The findings underscore the importance of integrating ecological and human dimensions in habitat modeling to support effective, evidence-based conservation strategies
Analisis Pengaruh Piutang Usaha dan Utang Usaha Terhadap Arus Kas Operasi Pada PT. Capitalinc Finance Daud Yusuf; Muhammad Rosidi
Jurnal Publikasi Ekonomi dan Akuntansi Vol. 4 No. 1 (2024): Januari: Jurnal Publikasi Ekonomi dan Akuntansi
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jupea.v4i1.2046

Abstract

Piutang Usaha adalah aset usaha atau sejumlah tagihan perusahaan yang terjadi karena adanya penjualan barang atau jasa dengan sistem penjualan tertunda dijangka waktu tertentu sesuai dengan kesepakatan. Sedangkan Utang Usaha adalah kewajiban perusahaan yang muncul akibat transaksi pembelian barang atau jasa dimasa lalu dan harus segera dibayar degan jangka waktu yang sudah ditentukan. Sedangkan Arus Kas Operasi adalah laporan yang mununjakan arus kas masuk dan keluar yang terkait dengan operasional perusahaan pada periode tertentu, beserta penjelasan-penjelasan sumber penerimaan dan pengeluaran kas tersebut. Penelitian yang dilakukan bertujuan untuk menganalisis Piutang Usaha dan Utang Usaha terhadap Arus Kas Operasi pada PT. Capitalinc Finance tahun 2015-2014. Metode penelitian yang digunakan dalam penelitian ini adalah metode kualitatif. Pengujiannya dilakukan dengan menganalisis antara Piutang Usaha dan Utang Usaha, apakah berpengaruh terhadap Arus Kas Operasi dengan cara menghitung dengan persentase. Hasil dari penelitian ini adalah bahwa pengaruh peningkatan Piutang usaha terhadap arus kas berbanding terbalik dengan peningkatan utang usaha terhadap arus kas.
Birds as Biodiversity Barometers in the Anthropocene: Updating Concepts, Correcting Biases, and Scaling Indicators for Policy Impact Yusuf, Daud; Baderan, Dewi Wahyuni K; Rahim, Sukirman; Zakaria, Zuliyanto
Jurnal Penelitian Pendidikan IPA Vol 12 No 2 (2026): In Progress
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i2.14056

Abstract

Birds are powerful biodiversity indicators due to their wide distribution and responsiveness to environmental pressures. Building on prior reviews, we synthesize methodological advances to update the Multi-species Bird Index (MSI) field. This study recaps limitations like European/breeding-season biases and uncertainty gaps while integrating recent studies that expand analytical rigor. Advances in passive acoustic monitoring, remote sensing, and trait-based models now improve species selection and reduce detectability errors. We translate these into practical guidance for policy application and a research agenda emphasizing seasonal completeness. The synthesis underscores birds’ role as decision ready barometers and provides a blueprint for robust monitoring. Birds serve as premier biodiversity barometers due to their cosmopolitan distribution and sensitivity to anthropogenic pressures. However, traditional Multi species Bird Indicators (MSIs) often suffer from significant Europe-centric and breeding-season biases that limit their global policy impact. This study synthesizes recent methodological breakthroughs to update the MSI framework. We evaluate the integration of Passive Acoustic Monitoring (PAM), high-resolution remote sensing (ALS LiDAR), and trait-based selection criteria into standard monitoring protocols. Our synthesis reveals that combining automated sensor networks with hierarchical Bayesian models effectively mitigates detectability errors and fills critical data gaps in under-represented regions. Furthermore, linking avian indicators with carbon sequestration and equity metrics allows for more robust prioritization of Nature based Solutions (NbS). We provide a practical blueprint for next-generation indicators that emphasize seasonal completeness and statistical rigor. By shifting from retrospective reports to forward-looking policy tools, these refined barometers can more accurately track progress toward global biodiversity targets.
Co-Authors Abas, Fatma D Abdul Haris PanaI Adnan, Mohammad Arfandi Ahmad Zainuri Ahmad Zainuri Akbar, La Ode Juni Amran, Yusuf Amrin, Fidya Hidayah Andi Chairunnas Andriani Andriani Asrul Asrul Aydalin, Regina Valentina Bano, Multiyawati A Bina, Fadlyanto Dewi Wahyuni K. Baderan Dewita Dewita Dewita Dewita Diko, Ahmad Fauzi C Dunggio, Renata Ethelda, Vania Renata Fajran Bentearu Farid SM Faridawaty, Waode Febrianti Febrianti febriyanti febriyanti Ferawati Po'u Fitriyane Lihawa Fitryane Lihawa Hannan, Sjuaib Hanun, Sarah Sausan Hardin Hardin, Hardin Hasim Hasim Hasim Hendra Hendra Hendra Hendra Hendrik Hendrik Heru Z Thalib Hippy, Anggriyani I kadek Budi Artawan Indrawan . Irma Zein Moghuri Iswan Dunggio Jahja, Mohamad Jamaluddin Jamaluddin Kaino, Sri Ayu Karim, Muhammad Kifly, Zul kunye, nur nuni Kurune, Astuti Kuuna, Wahyudin La Ode Juni Akbar Lahay, Rahmat Jaya Lamunte, Laras Liayong Pratama, M Iqbal Liayong Pratama, M. Iqbal Lilis L. Yusup M. Iqbal Liayong Pratama Marike Mahmud Marini Susanti Hamidun Masruroh MASRUROH Matalapu, Irawan Misnawaty Wantogia Moch Rio Pambudi Mohamad, Nurdin Mohamad, Rahmiyati A. Muh Kasim Muhammad Massyat, Muhammad Muhammad Rosidi Murlia, Murlia Noviar Akase Nur'ain Gani Nurdin Mohamad Nurmuhniyanti M. Hubaib Nurmuhniyanti M. Hubaib Nursiya Bito Nusi, Wirdawati Otoluwa, Yemima Padungo, Moh Rizki Pambudi, Moch Rio Parawansa, Aco Pilori, Ridha Potutu, Sri Dewi Pratama, M.Iqbal Liayong Puluhulawa, Nur Fakriya Rakhmat Jaya Lahay Ramla Hartini Melo REZKI, REZKI Rifkiansyah Rifkiansyah Rusiyah, Rusiyah Rusiyah, Rusiyah Saelan, Emy Santawi, Santawi Sarjon Lakoro Sewaka, Sewaka Sisilia Setiawati Halimi SM, Farid Sri Maryati Sri Maryati Suci surahmi Sudi, Agustinus Sukirman Rahim Sunarty S. Eraku Sunarty Suly Eraku Syam S. Kumaji Syamsul Rijal Tahir Tahir Tahir, Tahir Thalib, Heru Z Uno, Wirnangsi D. Usman, Astin Utina, Majid Wantogia, Misnawaty Waode Faridawaty Wiwin Kobi Z Thalib, Heru Zuliyanto Zakaria Zulkriansyah, Zulkriansyah