88 research outputs found

    Meningkatkan Kemampuan Pemecahan Masalah Matematis Siswa melalui Pendekatan Pembelajaran Kontekstual

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    This study was intended to know students' achievement and ability development in mathematical problem solving through contextual learning. This study was conducted in experimental method comparing the mathematical problem solving ability of students that were taught through contextual approach and students that were taught by conventional learning. This research design used pretest-posttest control group design. The population of this study was all students of grade VIII at a school with 80 students from two classes as sample subject. The experimental group was taught using contextual learning and control group was taught using conventional approach. The instrument which was used in this study is mathematical problem solving ability test and student affective scale based on Likert scale. From this study, it can be concluded that: 1) the mathematical problem solving ability of students that were taught through contextual approach is better than students that were taught using conventional approach; 2) the development of mathematical problem solving ability of students that were taught through contextual approach is better than student that were taught using conventional approach; 3) the students showed positive affective in contextual learning

    Pengembangan Perangkat Pembelajaran IPA Terpadu Model Susan Loucks-horsley

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    Penelitian ini bertujuan untuk mengembangkan perangkat pembelajaran Model Susan Loucks-Horsley yang layak digunakan untuk pembelajaran IPA Terpadu di SMP, menyelidiki efektivitas perangkat pembelajaran dalam meningkatkan sikap terhadap IPA, keterampilan proses IPA dan penguasaan materi IPA siswa. Penelitian menggunakan metode R&D model Borg & Gall. Perangkat pembelajaran yang dikembangkan berupa Silabus, Rencana Pelaksanaan Pembelajaran (RPP), dan Lembar Kerja Siswa (LKS). Pengumpulan data menggunakan lembar validasi perangkat pembelajaran untuk penilaian Silabus, RPP, dan LKS oleh ahli; angket untuk mengetahui sikap siswa terhadap IPA; lembar observasi untuk mengamati aktivitas siswa, dan untuk mengetahui peningkatan keterampilan proses IPA siswa sebelum dan sesudah menggunakan Model Susan Loucks-Horsley; serta lembar pretest-postest untuk mengetahui peningkatan penguasaan materi yang dicapai siswa setelah pembelajaran. Analisis data dilakukan dengan teknik deskriptif kuantitatif dan uji beda. Hasil penelitian menunjukkan (1) perangkat pembelajaran Model Susan Loucks-Horsley yang dikembangkan layak digunakan untuk pembelajaran IPA Terpadu di SMP, berdasarkan validasi ahli dan uji coba lapangan; (2) perangkat pembelajaran yang dikemangkan efektif untuk meningkatkan sikap terhadap IPA, keterampilan proses IPA dan penguasaan materi IPA siswa

    DIGION "DIGITAL DEMOCRATION" SISTEM PEMUNGUTAN SUARA BERBASIS ANDROID TERINTEGRASI E-KTP READER

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    Pemilihan umum merupakan hal yang rutin dilakukan di berbagai negara yang menjalankan sistem demokrasi dengan memilih calon eksekutif dan legislatif secara langsung. Indonesia yang merupakan Negara demokrasi telah menyelenggarakan sebelas kali pemilihan umum (Pemilu) tetapi masih memiliki kekurangan dalam pelaksanaannya. Perkembangan teknologi di Indonesia yang semakin meningkat yang dapat kita lihat dari penggunaan Smartphone dapat menjadi bahan atau alat untuk digunakan dalam pemilihan umum (Pemilu). “Digital Democration” (DIGION) dapat menjadi solusinya. Aplikasi berbasis android yang terintegritas NFC reader untuk pembacaan e-KTP ini dapat dijadikan alat untuk melakukan pemilihan umum (Pemilu). Metode yang digunakan pada aplikasi ini adalah komunikasi NFC dengan perangkat NFC lainnya yang tidak berdaya integrated circuit, yang disebut “tag” untuk pembacaan e-KTP dan diteruskan pada interface aplikasi yang diteruskan ke database sebagi media penyimpan hasil pemilihan. Hasil dalam penggunaannya pun lebih baik dari sistem yang lama digunakan. Penghematan biaya dapat dirasakan dan juga dalam perhitungan suara juga lebih cepat didapatkan. Kata Kunci — Android, e-KTP, NFC Adapte

    Analisis Gangguan Pendengaran Pada Penyelam Di Danau Tondano Desa Watumea Kecamatan Eris Kabupaten Minahasa Provinsi Sulawesi Utara 2014

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    : Hearing disorder is the change in the level of hearing which resulted in difficulties in carrying out a normal life, usually in terms of understanding speech. This study aimed to analyze hearing disorder that may arise among the divers in Watumea Eris, North Sulawesi, in 2014. This was an analytical study using a cross sectional approach. Population consisted of all divers in Lake Tondano during 2014. Samples were 20 people, obtained by using a purposive sampling technique based on the needs of researcher. The results of the analysis in the form of age (p = 0.157), education (p = 0.662), tenure (p = 0.850), history of the disease (p = 0.897), diving frequency (p = 0.577), using protective equipment (p = 0.075), diving depth (p = 0.526), and duration of diving (p = 0.964). Conclusion: There was no correlation of diving and hearing disorder among divers at lake Tondano Watumea Eris village district of Minahasa North Sulawesi Province during 2014

    Biometrically linking document leakage to the individuals responsible

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    Insider threats are a significant security issue. The last decade has witnessed countless instances of data loss and exposure in which data has become publicly available and easily accessible. Losing or disclosing sensitive data or confidential information may cause substantial financial and reputational damage to a company. Whilst more recent research has specifically focused on the insider misuse problem, it has tended to focus on the information itself – either through its protection or approaches to detect leakage. In contrast, this paper presents a proactive approach to the attribution of misuse via information leakage using biometrics and a locality-sensitive hashing scheme. The hash digest of the object (e.g. a document) is mapped with the given biometric information of the person who interacted with it and generates a digital imprint file that represents the correlation between the two parties. The proposed approach does not directly store or preserve any explicit biometric information nor document copy in a repository. It is only the established correlation (imprint) is kept for the purpose of reconstructing the mapped information once an incident occurred. Comprehensive experiments for the proposed approach have shown that it is highly possible to establish this correlation even when the original version has undergone significant file modification. In many scenarios, such as changing the file format r removing parts of the document, including words and sentences, it was possible to extract and reconstruct the correlated biometric information out of a modified document (e.g. 100 words were deleted) with an average success rate of 89.31%

    Global fine-resolution data on springtail abundance and community structure

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    Springtails (Collembola) inhabit soils from the Arctic to the Antarctic and comprise an estimated ~32% of all terrestrial arthropods on Earth. Here, we present a global, spatially-explicit database on springtail communities that includes 249,912 occurrences from 44,999 samples and 2,990 sites. These data are mainly raw sample-level records at the species level collected predominantly from private archives of the authors that were quality-controlled and taxonomically-standardised. Despite covering all continents, most of the sample-level data come from the European continent (82.5% of all samples) and represent four habitats: woodlands (57.4%), grasslands (14.0%), agrosystems (13.7%) and scrublands (9.0%). We included sampling by soil layers, and across seasons and years, representing temporal and spatial within-site variation in springtail communities. We also provided data use and sharing guidelines and R code to facilitate the use of the database by other researchers. This data paper describes a static version of the database at the publication date, but the database will be further expanded to include underrepresented regions and linked with trait data.</p

    Consistent patterns of common species across tropical tree communities

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    Trees structure the Earth’s most biodiverse ecosystem, tropical forests. The vast number of tree species presents a formidable challenge to understanding these forests, including their response to environmental change, as very little is known about most tropical tree species. A focus on the common species may circumvent this challenge. Here we investigate abundance patterns of common tree species using inventory data on 1,003,805 trees with trunk diameters of at least 10 cm across 1,568 locations1,2,3,4,5,6 in closed-canopy, structurally intact old-growth tropical forests in Africa, Amazonia and Southeast Asia. We estimate that 2.2%, 2.2% and 2.3% of species comprise 50% of the tropical trees in these regions, respectively. Extrapolating across all closed-canopy tropical forests, we estimate that just 1,053 species comprise half of Earth’s 800 billion tropical trees with trunk diameters of at least 10 cm. Despite differing biogeographic, climatic and anthropogenic histories7, we find notably consistent patterns of common species and species abundance distributions across the continents. This suggests that fundamental mechanisms of tree community assembly may apply to all tropical forests. Resampling analyses show that the most common species are likely to belong to a manageable list of known species, enabling targeted efforts to understand their ecology. Although they do not detract from the importance of rare species, our results open new opportunities to understand the world’s most diverse forests, including modelling their response to environmental change, by focusing on the common species that constitute the majority of their trees.Publisher PDFPeer reviewe

    Nitrogen acquisition by roots: physiological and developmental mechanisms ensuring plant adaptation to a fluctuating resource

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