Pengembangan Buku Ajar Mata Kuliah Bahasa Indonesia Untuk Mahasiswa STMIK Palangka Raya

Penelitian ini bertujuan mendeskripsikan proses perkuliahan Bahasa Indonesia di STMIK Palangka Raya, mengembangkan buku ajar mata kuliah Bahasa Indonesia yang sesuai dengan capaian kompetensi lulusan STMIK Palangka Raya, dan mengevaluasi validitas, efektivitas, serta kepraktisan buku ajar tersebut. Metode yang digunakan adalah Research and Development dengan menganalisis kebutuhan kemudian mengembangkan produk dan diuji validitas, efektivitas, dan kepraktisanya hingga diperoleh produk final. Produk yang dikembangkan adalah buku ajar mata kuliah Bahasa Indonesia untuk mahasiswa STMIK Palangka Raya. Hasil analisis menunjukkan buku ajar validitas sebesar 93%, efektif kerena sebesar 92,67% mahasiswa tuntas KKM, dan praktis karena mahasiswa sebesar 87,33% merespon keterterapan produk dengan baik, serta 89,60% praktisi merespon dengan baik saat diterapkan. Buku ajar ini memiliki keterterapan yang tinggi karena memiliki validitas yang tinggi pula. Buku ajar yang dikembangkan juga memiliki efektivitas yang baik, karena memiliki validitas yang tinggi dan kepraktisan yang tinggi pula. Dengan kepraktisan buku ajar yang tinggi, maka belajar materi Bahasa Indonesia akan lebih mudah.Disarankan agar dosen dapat menerapkan buku ajar Bahasa Indonesia untuk mahasiswa STMIK Palangka Raya guna membekali mahasiswa untuk cakap menerapkan kaidah-kaidah Bahasa Indonsia yang baik dan benar, dalam bidang ilmu pengetahuan dan teknologi maupun dalam kehidupan sehari-hari

An internationally standardized species identification test for use on suspected seized rhinoceros horn in the illegal wildlife trade

Published by Elsevier Ireland Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/).Rhinoceros (rhino) numbers have dwindled substantially over the past century. As a result, three of the five species are now considered to be critically endangered, one species is vulnerable and one species is near-threatened. Poaching has increased dramatically over the past decade due to a growing demand for rhino horn products, primarily in Asia. Improved wildlife forensic techniques, such as validated tests for species identification of seized horns, are critical to aid current enforcement and prosecution efforts and provide a deterrent to future rhino horn trafficking. Here, we present an internationally standardized species identification test based on a 230 base pair cytochrome-b region. This test improves on previous nested PCR protocols and can be used for the discrimination of samples with <20 pg of template DNA, thus suitable for DNA extracted from horn products. The assay was designed to amplify water buffalo samples, a common ‘rhino horn’ substitute, but to exclude human DNA, a common contaminant. Phylogenetic analyses using this partial cytochrome-b region resolved the five extant rhino species. Testing successfully returned a sequence and correct identification for all of the known rhino horn samples and vouchered rhino samples from museum and zoo collections, and provided species level identification for 47 out of 52 unknown samples from seizures. Validation and standardization was carried out across five different laboratories, in four different countries, demonstrating it to be an effective and reproducible test, robust to inter laboratory variation in equipment and consumables (such as PCR reagents). This is one of the first species identification tests to be internationally standardized to produce data for evidential proceedings and the first published validated test for rhinos, one of the flagship species groups of the illegal wildlife trade and for which forensic tools are urgently required. This study serves as a model for how species identification tests should be standardized and disseminated for wildlife forensic testing

Expert range maps of global mammal distributions harmonised to three taxonomic authorities

Aim: Comprehensive, global information on species' occurrences is an essential biodiversity variable and central to a range of applications in ecology, evolution, biogeography and conservation. Expert range maps often represent a species' only available distributional information and play an increasing role in conservation assessments and macroecology. We provide global range maps for the native ranges of all extant mammal species harmonised to the taxonomy of the Mammal Diversity Database (MDD) mobilised from two sources, the Handbook of the Mammals of the World (HMW) and the Illustrated Checklist of the Mammals of the World (CMW). Location: Global. Taxon: All extant mammal species. Methods: Range maps were digitally interpreted, georeferenced, error-checked and subsequently taxonomically aligned between the HMW (6253 species), the CMW (6431 species) and the MDD taxonomies (6362 species). Results: Range maps can be evaluated and visualised in an online map browser at Map of Life (mol.org) and accessed for individual or batch download for non-commercial use. Main conclusion: Expert maps of species' global distributions are limited in their spatial detail and temporal specificity, but form a useful basis for broad-scale characterizations and model-based integration with other data. We provide georeferenced range maps for the native ranges of all extant mammal species as shapefiles, with species-level metadata and source information packaged together in geodatabase format. Across the three taxonomic sources our maps entail, there are 1784 taxonomic name differences compared to the maps currently available on the IUCN Red List website. The expert maps provided here are harmonised to the MDD taxonomic authority and linked to a community of online tools that will enable transparent future updates and version control.Fil: Marsh, Charles J.. Yale University; Estados UnidosFil: Sica, Yanina. Yale University; Estados UnidosFil: Burguin, Connor. University of New Mexico; Estados UnidosFil: Dorman, Wendy A.. University of Yale; Estados UnidosFil: Anderson, Robert C.. University of Yale; Estados UnidosFil: del Toro Mijares, Isabel. University of Yale; Estados UnidosFil: Vigneron, Jessica G.. University of Yale; Estados UnidosFil: Barve, Vijay. University Of Florida. Florida Museum Of History; Estados UnidosFil: Dombrowik, Victoria L.. University of Yale; Estados UnidosFil: Duong, Michelle. University of Yale; Estados UnidosFil: Guralnick, Robert. University Of Florida. Florida Museum Of History; Estados UnidosFil: Hart, Julie A.. University of Yale; Estados UnidosFil: Maypole, J. Krish. University of Yale; Estados UnidosFil: McCall, Kira. University of Yale; Estados UnidosFil: Ranipeta, Ajay. University of Yale; Estados UnidosFil: Schuerkmann, Anna. University of Yale; Estados UnidosFil: Torselli, Michael A.. University of Yale; Estados UnidosFil: Lacher, Thomas. Texas A&M University; Estados UnidosFil: Wilson, Don E.. National Museum of Natural History; Estados UnidosFil: Abba, Agustin Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Estudios Parasitológicos y de Vectores. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. Centro de Estudios Parasitológicos y de Vectores; ArgentinaFil: Aguirre, Luis F.. Universidad Mayor de San Simón; BoliviaFil: Arroyo Cabrales, Joaquín. Instituto Nacional de Antropología E Historia, Mexico; MéxicoFil: Astúa, Diego. Universidade Federal de Pernambuco; BrasilFil: Baker, Andrew M.. Queensland University of Technology; Australia. Queensland Museum; AustraliaFil: Braulik, Gill. University of St. Andrews; Reino UnidoFil: Braun, Janet K.. Oklahoma State University; Estados UnidosFil: Brito, Jorge. Instituto Nacional de Biodiversidad; EcuadorFil: Busher, Peter E.. Boston University; Estados UnidosFil: Burneo, Santiago F.. Pontificia Universidad Católica del Ecuador; EcuadorFil: Camacho, M. Alejandra. Pontificia Universidad Católica del Ecuador; EcuadorFil: de Almeida Chiquito, Elisandra. Universidade Federal do Espírito Santo; BrasilFil: Cook, Joseph A.. University of New Mexico; Estados UnidosFil: Cuéllar Soto, Erika. Sultan Qaboos University; OmánFil: Davenport, Tim R. B.. Wildlife Conservation Society; TanzaniaFil: Denys, Christiane. Muséum National d'Histoire Naturelle; FranciaFil: Dickman, Christopher R.. The University Of Sydney; AustraliaFil: Eldridge, Mark D. B.. Australian Museum; AustraliaFil: Fernandez Duque, Eduardo. University of Yale; Estados UnidosFil: Francis, Charles M.. Environment And Climate Change Canada; CanadáFil: Frankham, Greta. Australian Museum; AustraliaFil: Freitas, Thales. Universidade Federal do Rio Grande do Sul; BrasilFil: Friend, J. Anthony. Conservation And Attractions; AustraliaFil: Giannini, Norberto Pedro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - Tucumán. Unidad Ejecutora Lillo; ArgentinaFil: Gursky-Doyen, Sharon. Texas A&M University; Estados UnidosFil: Hackländer, Klaus. Universitat Fur Bodenkultur Wien; AustriaFil: Hawkins, Melissa. National Museum of Natural History; Estados UnidosFil: Helgen, Kristofer M.. Australian Museum; AustraliaFil: Heritage, Steven. University of Duke; Estados UnidosFil: Hinckley, Arlo. Consejo Superior de Investigaciones Científicas. Estación Biológica de Doñana; EspañaFil: Holden, Mary. American Museum of Natural History; Estados UnidosFil: Holekamp, Kay E.. Michigan State University; Estados UnidosFil: Humle, Tatyana. University Of Kent; Reino UnidoFil: Ibáñez Ulargui, Carlos. Consejo Superior de Investigaciones Científicas. Estación Biológica de Doñana; EspañaFil: Jackson, Stephen M.. Australian Museum; AustraliaFil: Janecka, Mary. University of Pittsburgh at Johnstown; Estados Unidos. University of Pittsburgh; Estados UnidosFil: Jenkins, Paula. Natural History Museum; Reino UnidoFil: Juste, Javier. Consejo Superior de Investigaciones Científicas. Estación Biológica de Doñana; EspañaFil: Leite, Yuri L. R.. Universidade Federal do Espírito Santo; BrasilFil: Novaes, Roberto Leonan M.. Universidade Federal do Rio de Janeiro; BrasilFil: Lim, Burton K.. Royal Ontario Museum; CanadáFil: Maisels, Fiona G.. Wildlife Conservation Society; Estados UnidosFil: Mares, Michael A.. Oklahoma State University; Estados UnidosFil: Marsh, Helene. James Cook University; AustraliaFil: Mattioli, Stefano. Università degli Studi di Siena; ItaliaFil: Morton, F. Blake. University of Hull; Reino UnidoFil: Ojeda, Agustina Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Provincia de Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Universidad Nacional de Cuyo. Instituto Argentino de Investigaciones de las Zonas Áridas; ArgentinaFil: Ordóñez Garza, Nicté. Instituto Nacional de Biodiversidad; EcuadorFil: Pardiñas, Ulises Francisco J.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto de Diversidad y Evolución Austral; ArgentinaFil: Pavan, Mariana. Universidade de Sao Paulo; BrasilFil: Riley, Erin P.. San Diego State University; Estados UnidosFil: Rubenstein, Daniel I.. University of Princeton; Estados UnidosFil: Ruelas, Dennisse. Museo de Historia Natural, Lima; PerúFil: Schai-Braun, Stéphanie. Universitat Fur Bodenkultur Wien; AustriaFil: Schank, Cody J.. University of Texas at Austin; Estados UnidosFil: Shenbrot, Georgy. Ben Gurion University of the Negev; IsraelFil: Solari, Sergio. Universidad de Antioquia; ColombiaFil: Superina, Mariella. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Medicina y Biología Experimental de Cuyo; ArgentinaFil: Tsang, Susan. American Museum of Natural History; Estados UnidosFil: Van Cakenberghe, Victor. Universiteit Antwerp; BélgicaFil: Veron, Geraldine. Université Pierre et Marie Curie; FranciaFil: Wallis, Janette. Kasokwa-kityedo Forest Project; UgandaFil: Whittaker, Danielle. Michigan State University; Estados UnidosFil: Wells, Rod. Flinders University.; AustraliaFil: Wittemyer, George. State University of Colorado - Fort Collins; Estados UnidosFil: Woinarski, John. Charles Darwin University; AustraliaFil: Upham, Nathan S.. University of Yale; Estados UnidosFil: Jetz, Walter. University of Yale; Estados Unido

Expert range maps of global mammal distributions harmonised to three taxonomic authorities

AimComprehensive, global information on species' occurrences is an essential biodiversity variable and central to a range of applications in ecology, evolution, biogeography and conservation. Expert range maps often represent a species' only available distributional information and play an increasing role in conservation assessments and macroecology. We provide global range maps for the native ranges of all extant mammal species harmonised to the taxonomy of the Mammal Diversity Database (MDD) mobilised from two sources, the Handbook of the Mammals of the World (HMW) and the Illustrated Checklist of the Mammals of the World (CMW).LocationGlobal.TaxonAll extant mammal species.MethodsRange maps were digitally interpreted, georeferenced, error-checked and subsequently taxonomically aligned between the HMW (6253 species), the CMW (6431 species) and the MDD taxonomies (6362 species).ResultsRange maps can be evaluated and visualised in an online map browser at Map of Life (mol.org) and accessed for individual or batch download for non-commercial use.Main conclusionExpert maps of species' global distributions are limited in their spatial detail and temporal specificity, but form a useful basis for broad-scale characterizations and model-based integration with other data. We provide georeferenced range maps for the native ranges of all extant mammal species as shapefiles, with species-level metadata and source information packaged together in geodatabase format. Across the three taxonomic sources our maps entail, there are 1784 taxonomic name differences compared to the maps currently available on the IUCN Red List website. The expert maps provided here are harmonised to the MDD taxonomic authority and linked to a community of online tools that will enable transparent future updates and version control

The phylogeography and population genetics of the long-nosed potoroo (Potorous tridactylus)

© 2012 Dr. Greta Jane FrankhamUsing modern molecular techniques (mitochondrial and nuclear gene sequencing, microsatellite genotyping) and extensive sampling (n = 354) across a wide latitudinal range (-23° to -43°), I have explored the distribution of genetic diversity within the long-nosed potoroo Potorous tridactylus across both spatial and temporal scales. Chapters 1 and 2 focus on the biogeographic and evolutionary history of the Australian mesic biome and its influence on the diversification of Potorous, especially the widespread P. tridactylus (southern Queensland to South Australia and Tasmania). Chapters 3 and 4 assess the impacts of recent anthropogenic habitat fragmentation on the fine-scale diversity of P. tridactylus, including inter- and intra-population structure as well as dispersal and mating systems. The diversification of Potorous was estimated to have occurred during the late Miocene and Pliocene. Potorous longipes is the most divergent extant species, with P. gilbertii and P. tridactylus sharing a closer, paraphyletic relationship, despite their current geographic isolation. Three previously unrecognised, highly divergent lineages within P. tridactylus were discovered, which I propose be recognised as P. tridactylus apicalis (Tasmania), P. tridactylus tridactylus (northern mainland populations) and P. t. trisulcatus (southern mainland populations). My phylogeographic study of P. tridactylus identified multiple biogeographic barriers, including both unsuitable habitat (Bassian Plain, Tasmanian Midlands) and physical landscape features (e.g., Clarence River Valley), which currently or historically have represented barriers to gene flow. Additionally, I postulate that the Hunter Valley was the centre of a major mainland phylogeographic break that has shifted south, through successive climatic cycles, to now be located across the Sydney Basin. Mitochondrial DNA and microsatellite data indicate that historically large, stable populations of P. tridactylus occurred across southeastern Australia. However, they also demonstrate that widespread anthropogenic landscape modification has resulted in more recent population sub-division and genetic differentiation within P. tridactylus. Island populations and small isolated mainland populations have been most severely impacted, losing ~10–40% of their genetic diversity. Intra-population structure was also detected, driven by small neighbourhood size, restricted male biased dispersal and high levels of female philopatry. Limited connectivity and low gene flow was identified between populations located 6–8 km apart despite suitable intervening habitat. I postulate that even slight alterations to habitat connectivity and configuration limit gene flow in P. tridactylus. A predominantly promiscuous mating system was observed in a Victorian population over five years, with paternity secured through site knowledge and not by physical male dominance; however, limited data suggested fragmentation may alter mating systems, through reduced mate choice in the habitat periphery. This thesis has altered our understanding of potoroid taxonomy, phylogeography, evolution and biology, and provided a mammalian perspective on the biogeographic history of the southeastern Australian mesic biome. It has also revealed the most appropriate geographic scale for management of this threatened genus and remaining P. tridactylus populations, shed light on vital demographic processes including mating systems and dispersal and highlighted how sensitive P. tridactylus is to habitat fragmentation and disturbance. It is hoped these findings will promote the persistence of this ecologically important family

A rapid and non-destructive identification method for tortoiseshell products using attenuated total reflectance infrared spectroscopy

Tortoiseshell, traditionally made from Hawksbill Turtle (Eretmochelys imbricata) shell, has long been a popular material for the production of coveted ornamental items. Hawksbill Turtles are critically endangered and like all sea turtles the trade in their products (e.g., tortoiseshell) is illegal. Tortoiseshell objects are also produced from other species and plastics, so the identification of the tortoiseshell source is important for distinguishing illegally and legally traded items. Distinguishing faux and real tortoiseshell visually can be challenging, so a screening method using infrared spectroscopy has been developed to provide a rapid means of discriminating the source of objects. A non-destructive attenuated total reflectance sampling technique has been employed. Marine turtle, horn, casein, cellulose nitrate, cellulose acetate and polyester were identified as the materials used in tortoiseshell production by employing a visual comparison of their spectra. A simple method for the discrimination of the protein-based spectra produced by marine turtle, horn and casein objects is provided, enabling the source of such objects to be differentiated

A guide for the validation of DNA based species identification in forensic casework

Method validation is an essential step ahead of applying a method in forensic casework, to ensure the results will be admissible in court. However, unlike mainstream forensic disciplines, wildlife forensic labs often evolve from conservation-oriented units and may not have a strong foundation in generating data within a legal context. As such, the processes and principles of method validation may not be familiar or fully understood. In this paper we describe the process of method validation in a wildlife forensic science context. We provide guidance on the documentation required to take a DNA based method, which has been developed to identify a specific target species, through the validation process so that it is fit for use in forensic casework. This process has been agreed upon among members of the Society for Wildlife Forensic Sciences (SWFS) Technical Working Group (TWG) to illuminate the requirements for both practitioners and academics

Museum specimens provide reliable SNP data for population genomic analysis of a widely distributed but threatened cockatoo species

Natural history museums harbour a plethora of biological specimens which are of potential use in population and conservation genetic studies. Although technical advancements in museum genomics have enabled genome-wide markers to be generated from aged museum specimens, the suitability of these data for robust biological inference is not well characterised. The aim of this study was to test the utility of museum specimens in population and conservation genomics by assessing the biological and technical validity of single nucleotide polymorphism (SNP) data derived from such samples. To achieve this, we generated thousands of SNPs from 47 red-tailed black-cockatoo (Calyptorhychus banksii) traditional museum samples (i.e. samples that were not collected with the primary intent of DNA analysis) and 113 fresh tissue samples (cryopreserved liver/muscle) using a restriction site associated DNA marker approach (DArTseqTM). Thousands of SNPs were successfully generated from most of the traditional museum samples (with a mean age of 44 years, ranging from 5-123 years), although 38% did not provide useful data. These SNPs exhibited higher error rates and contained significantly more missing data compared with SNPs from fresh tissue samples, likely due to considerable DNA fragmentation. However, based on simulation results, the level of genotyping error had a negligible effect on inference of population structure in this species. We did identify a bias towards low diversity SNPs in older samples, that appears to compromise temporal inferences of genetic diversity. This study demonstrates the utility of a RADseq-based method to produce reliable genome-wide SNP data from traditional museum specimens.SNP data for all Calyptorhynchus banksii samples used in this paperThe SNPs provided by DArT and the associated meta-data for all Calyptorhynchus banksii samples used in this paper. Explanations for the meta-data can be found in the first tab of the spreadsheet.Report_DRtbc16-2386_DRtbc17-2707_SNP_singlerow.xlsxMeta-data for DArTseq sequence reads for all Calyptorhynchus banksii samplesMeta-data associated with the raw sequence reads (available for download on the short read archive) for all Calyptorhynchus banksii samples used in this paper.DArTseq-sequence-data_metadata.cs