Strategi Pemanfaatan Media Audio Visual untuk Peningkatan Hasil Belajar Bahasa Inggris

Di dunia pendidikan; kemampuan berbahasa Inggris mahasiswa tak dapat dipisahkan dalam proses pembelajaran yang diberikan oleh dosen. Dosen sebagai fasilitator berusaha memberikan proses belajar mengajar yang terbaik untuk mahasiswanya. Bahasa Inggris merupakan mata kuliah yang mengembangkan keterampilan berkomunikasi baik secara lisan maupun tulisan; memahami dan mengungkapkan informasi. Mata kuliah ini tidak lagi sekedar mata kuliah yang terbatas pada ilmu tata bahasanya saja; namun juga dapat mengembangkan keterampilan mahasiswa dalam berkomunikasi bahasa Inggris secara lisan dan tulisan. Untuk itu diperlukan pendekatan kreatif yang dapat membawa mahasiswa lebih aktif dan menarik dalam pembelajaran bahasa Inggris. Salah satu proses pendekatan yang diberikan dosen adalah pembelajaran bahasa Inggris dengan memanfaatkan media audio visual; yaitu menggunakan video; film; dan musik. Dalam pengajaran materi bahasa Inggris; penggunaan media pembelajaran ini merupakan salah satu media pembelajaran yang tepat untuk digunakan. Tujuan jurnal ini adalah memberikan strategi dalam memanfaatkan media audio visual untuk meningkatkan hasil belajar bahasa Inggris mahasiswa. Secara teknis strategi pemanfaatan media audio visual dalam proses kegiatan belajar mengajar bahasa Inggris dibagai menjadi tiga tahapan; yaitu persiapan; penggunaan dan yang terakhir adalah tindak lanjut setelah penggunaan. Strategi pemanfaatan media ini akan menjadikan pembelajaran bahasa Inggris lebih efektif; interaktif dan menarik. Dosen akan lebih optimal dalam penyampaian materi dan mahasiswa menjadi lebih mudah memahaminya

Implementation and Evaluation of a Cooperative Vehicle-to-Pedestrian Safety Application

While the development of Vehicle-to-Vehicle (V2V) safety applications based on Dedicated Short-Range Communications (DSRC) has been extensively undergoing standardization for more than a decade, such applications are extremely missing for Vulnerable Road Users (VRUs). Nonexistence of collaborative systems between VRUs and vehicles was the main reason for this lack of attention. Recent developments in Wi-Fi Direct and DSRC-enabled smartphones are changing this perspective. Leveraging the existing V2V platforms, we propose a new framework using a DSRC-enabled smartphone to extend safety benefits to VRUs. The interoperability of applications between vehicles and portable DSRC enabled devices is achieved through the SAE J2735 Personal Safety Message (PSM). However, considering the fact that VRU movement dynamics, response times, and crash scenarios are fundamentally different from vehicles, a specific framework should be designed for VRU safety applications to study their performance. In this article, we first propose an end-to-end Vehicle-to-Pedestrian (V2P) framework to provide situational awareness and hazard detection based on the most common and injury-prone crash scenarios. The details of our VRU safety module, including target classification and collision detection algorithms, are explained next. Furthermore, we propose and evaluate a mitigating solution for congestion and power consumption issues in such systems. Finally, the whole system is implemented and analyzed for realistic crash scenarios

Dielectric constant of glasses: first observation of a two-dimensional behavior

The 1kHz real part $\chi'$ of the dielectric constant of a structural glass was measured at low temperature $T$ down to 14 mK. Reducing the sample thickness $h$ to 10 nm suppresses the usual minimum of $\chi'$ for measuring fields $E<.5$ MV/m. This contradicts the Two Level System (TLS) model but is well accounted for by including TLS-TLS interactions where excitations delocalize between TLS's through a $E$-induced mechanism recently designed: for small $h$'s this interaction is reduced, which explains the two-dimensional behavior of $\chi'(T)$. Hence, interactions play a key role in standard thick samples.Comment: latex finesse3.tex, 5 files, 4 figures, 4 pages [SPEC-S02/050], submitted to Phys. Rev. Let

Adaptive Structuration Analysis in Innovation Communication of Indonesian National Standard in Micro, Small and Medium Enterprises

Micro, small and medium enterprises (MSMEs) as one of the business sector which give significant contribution to national GDP have an average of more than 55% in the period 2008 to 2012 (BSN 2013), in addition, the role of food-based MSMEs is very important in providing adequate food availability for the community. Standardization is one of the strategies to increase competitiveness, especially in the free trade era. Standardization activities in the industry is proven by obtaining SNI certificates (Indonesian National Standards). This study aims to understand how the characteristics and evaluation of the nature of innovation towards MSME decisions to adopt SNI certification in the food sector. This quantitative research uses explanatory type method with an explanatory nature with associative nature because it wants to explain the influence between the variables tested. The results on evaluating the nature of innovation can be seen from the relative profit, the average respondent answers strongly agree on what they think of SNI or its products labelled SNI. Then on the level of complexity, respondents consider changes in infrastructure and adjustments to product standards. On marketing factors, respondents market their products through online media is 45,9% while marketing through offline media is 54%, one of which dominates them is through exhibitions or bazaars (15,3%). The conclude that there was no significant influence between the evaluation of the nature of innovation, namely the level of relative profitability, level of complexity and the level of observability with adoption of SNI certification. The factors that influence significantly SNI certification was adaptive structuration, they are rate of socialization and testimonial approach. .&nbsp;&nbsp;&nbsp;&nbsp

Karakterisasi Permukaan Arang Aktif Tempurung Biji Nyamplung

Characterization&nbsp; of&nbsp; Surface&nbsp; Active&nbsp; Shell&nbsp; Charcoal&nbsp; Nyamplung&nbsp; Seeds (Calophyllum&nbsp; inophyllum&nbsp; Linn). Chemical and physical activation of nyamplung shell with 0%, 5%, and 10% H3PO4 for 60 and 120 minutes has been carried out to&nbsp; prepare&nbsp; activated&nbsp; charcoal.&nbsp; The&nbsp; purpose&nbsp; of this&nbsp; experiment&nbsp; was&nbsp; to&nbsp; look&nbsp; into&nbsp; the&nbsp; characteristic&nbsp; of&nbsp; nyamplung shell activated&nbsp; charcoal&nbsp; surface.&nbsp; Nyamplung&nbsp; shell&nbsp; was&nbsp; carbonized&nbsp; into charcoal,&nbsp; then&nbsp; activated&nbsp; by&nbsp; immersion&nbsp; in&nbsp; H3PO4 solution&nbsp; using&nbsp; 0%, 5%&nbsp; and&nbsp; 10%,&nbsp; for&nbsp; 24&nbsp; hours,&nbsp; and&nbsp; heated&nbsp; in&nbsp; retort at&nbsp; two temperatures&nbsp; (700 and 800 oC) and two duration (60 and 120 minutes). The material were characterized by&nbsp; fourier transform infra red (FTIR), scaning electron microscope (SEM) and X-ray diffraction (XRD). The FTIR spectrum show that&nbsp; activated charcoal has OH, C-H, C-O and&nbsp; C=C bonds. The&nbsp; bonds&nbsp; of&nbsp; OH&nbsp; and&nbsp; C-O&nbsp; indicated&nbsp; that&nbsp; the&nbsp; treatment&nbsp; was produced&nbsp; polar&nbsp; activated&nbsp; charcoal. The porous&nbsp; texture&nbsp; was&nbsp; influenced by&nbsp; H3PO4&nbsp; concentration.&nbsp; The&nbsp; porous&nbsp; with&nbsp; dimension&nbsp; &lt;5 &mu; being predominant at low concentration of H3PO4 (0% and 5%) but larger amount of H3PO4 (10%) produced wide pore with dimension &gt;5 &mu;. &nbsp

AROW: A V2X-based Automated Right-of-Way Algorithm for Distributed Cooperative Intersection Management

Safe and efficient intersection management is critical for an improved driving experience. As per several studies, an increasing number of crashes and fatalities occur every year at intersections. Most crashes are a consequence of a lack of situational awareness and ambiguity over intersection crossing priority. In this regard, research in Cooperative Intersection Management (CIM) is considered highly significant since it can utilize Vehicle-to-Everything (V2X) communication among Connected and Autonomous Vehicles (CAVs). CAVs can transceive basic and/or advanced safety information, thereby improving situational awareness at intersections. Although numerous studies have been performed on CIM, most of them are reliant on the presence of a Road-Side Unit (RSU) that can act as a centralized intersection manager and assign intersection crossing priorities. In the absence of RSU, there are some distributed CIM methods that only rely on communication among CAVs for situational awareness, however, none of them are specifically focused towards Stop Controlled-Intersection (SCI) with the aim of mitigating ambiguity among CAVs. Thus, we propose an Automated Right-of-Way (AROW) algorithm based on distributed CIM that is capable of reducing ambiguity and handling any level of noncompliance by CAVs. The algorithm is validated with extensive experiments for its functionality and robustness, and it outperforms the current solutions

Estimation of Soil Moisture for Different Crops Using SAR Polarimetric Data

Soil moisture is an essential factor that influences agricultural productivity and hydrological processes. Soil moisture estimation using field detection methods takes time and is challenging. However, using Remote Sensing (RS) and Geographic Information System (GIS) technology, soil moisture parameters become easier to detect. In microwave remote sensing, synthetic aperture radar (SAR) data helps to retrieve soil moisture from more considerable depths because of its high penetration capability and the illumination power of its light source. This study aims to process the SAR Sentinel-1A data and estimate soil moisture using the Water Cloud Model (WCM). Many physical and empirical models have been developed to determine soil moisture from microwave remote sensing platforms. However, the Water Cloud Model gives more accurate results. In this study, the WCM model is used for mixed crop types. The experimental soil moisture was determined from in-situ soil samples collected from various agricultural areas. The soil backscattering values corresponding to the different soil sampling locations were derived from Sentinel SAR data. Using linear regression analysis, the laboratory's soil moisture results and soil backscattering values were correlated to arrive at a model. The model was validated using a secondary set of in-situ moisture content values taken during the same period. The R2 and RMSE of the model were observed to be 0.825 and 0.0274, respectively, proving a strong correlation between the experimental soil moisture and satellite-derived soil moisture for mixed crop field types. This paper explains the methodology for arriving at a model for soil moisture estimation. This model helps to recommend suitable crop types in large, complex areas based on predicted moisture content. Doi: 10.28991/CEJ-2023-09-06-08 Full Text: PD

Karakterisasi Karbon Pelet Campuran Rumput Gajah (Pennisetum Purpureum Scumach) Dan Tempurung Nyamplung (Calophyllum Inophyllum Linn.)

Karbon pelet adalah produk arang yang terbuat dari biomassa karbonisasi yang hancur menjadi bubuk halus dan dipadatkan menjadi pelet. Karbon pelet dirancang untuk energi alternatif terbarukan untuk memasak, proses pembakaran dan kemungkinan untuk pembangkit listrik tenaga uap sebagai pengganti batubara. Makalah ini mempelajari kualitas pelet karbon yang terbuat dari campuran rumput gajah dengan tempurung nyamplung. Setelah karbonisasi, rumput gajah dan kulit biji nyamplung hancur dalam 60 mesh bubuk untuk pelet dengan berbagai rasio rumput gajah arang dan arang tempurung nyamplung dari 100:0, 75:25, 50:50, 25:75, dan 0:100 homogen. Sepuluh persen PVAC perekat ditambahkan ke dalam campuran sebelum kompresi. Hasil penelitian menunjukkan bahwa komposisi campuran 75% arang rumput gajah dan 25% arang tempurung nyamplung direkomendasikan untuk karbon pelet. Komposisi campuran tersebut meningkatkan sifat fisik karbon pelet dengan rata-rata kadar air 3,35%, zat terbang 26,19%, kadar abu 13,59%, karbon terikat 60,21%, kepadatan 0,68 kg/cm3, kuat tekan 5,91 kg/cm2 dan nilai kalor 6080 kal/g

Satellite tracking identifies important foraging areas for loggerhead turtles frequenting the Adriatic Sea, Central Mediterranean

The Adriatic Sea is one of the main foraging areas for marine turtles of the Mediterranean Sea, but the specific high-use sites are poorly known, due to the scarceness of satellite tracking data available for juvenile turtles frequenting the area. In the present study, we tracked 8 juvenile and adult loggerhead turtles (Caretta caretta) that were released along the north-western Adriatic coast after a rehabilitation period having been equipped with Argos-linked satellite transmitters. Tracked turtles displayed quite variable movement patterns, but mostly remained in the north-western Adriatic, especially during the summer months. A marked preference for specific coastal sites was revealed in many turtles, that actively moved towards these specific locations when released south of it or having spent the winter away. Pooling these data with those obtained in previous studies on a further 10 turtles, we highlighted the presence of two main high-use areas, north and south of the Po River delta, where future conservation actions may then be focused