EFEKTIVITAS PENGGUNAAN LEMBAR KERJA BERBASIS MASALAH DENGAN BANTUAN MICROSOFT EXCEL PADA MATA KULIAH PROGRAM KOMPUTER

Pengembangan lembar kerja (LK) merupakan suatu hal yang dapat mendukung proses kegiatan belajar mengajar di dunia pendidikan. Lembar Kerja  yang dibuat secara efektif dan sistematis serta fleksibel dapat membantu mahasiswa untuk belajar lebih efektif, aktif secara mandiri maupun berkelompok, sehingga diharapkan dapat meningkatkan kemandirian, keaktifan dan motivasi mahasiswa dalam proses pembelajaran pada mata kuliah program komputer. Lembar kerja yang dibuat biasanya hanya dapat diselesaikan dengan cara konvensional saja, yaitu siswa mengerjakan secara tertulis permasalahan-permasalahan yang terdapat pada lembar kerja tersebut, sehingga mahasiswa hanya terfokus pada kemampuan mahasiswa dalam memecahkan masalah saja sehingga kemampuan berpikir kreatif dan kritis mahasiswa kurang berkembang. Lembar kerja yang dikembangkan pada penelttian ini yaitu lembar kerja yang tidak hanya memfokuskan mahasiswa dalam penyelesaian masalah matematika saja, tetapi untuk merangsang kemampuan berpikir kritis dan kreatif mahasiswa dalam memecahkan masalah-masalah dalam kehidupan sehari-hari yang dapat diselesaikan dengan bantuan Software Microsoft  Excel.  Tujuan penelitian ini yaitu untuk mengetahui efektivitas penggunaan lembar kerja berbasis masalah pada perkuliahan program komputer dengan bantuan Ms. Excel  dan mengetahui self regulated learning mahasiswa dalam memecahkan masalah matematika pada mata kuliah program komputer dengan bantuan Ms. Excel. Metode yang digunakan pada penelitian ini yaitu metode pengembangan atau research and Development. Populasi pada penelitian ini adalah seluruh mahasiswa program studi pendidikan matematika angkatan 2016 dan peneliti mengambil 1 kelas untuk dijadikan subjek penelitian sebanyak 42 orang. Instrumen yang digunakan pada penelitian ini meliputi soal tes hasil belajar dan angket self regulated learning (SRL). Tes hasil belajar dan angket self regulated learning dianalisis secara kualitatif.  Keywords: Lembar Kerja, Pembelajaran Berbasis Masalah, Self regulated learning, dan Microsoft  Excel

Ray-Based Modeling of Unlicensed-Band mmWave Propagation Inside a City Bus

In the wake of recent hardware developments, augmented, mixed, and virtual reality applications – grouped under an umbrella term of eXtended reality (XR) – are believed to have a transformative effect on customer experience. Among many XR use cases, of particular interest are crowded commuting scenarios, in which passengers are involved in in-bus/in-train entertainment, e.g., high-quality video or 3D hologram streaming and AR/VR gaming. In the case of a city bus, the number of commuting users during the busy hours may exceed forty, and, hence, could pose far higher traffic demands than the existing microwave technologies can support. Consequently, the carrier candidate for XR hardware should be sought in the millimeter-wave (mmWave) spectrum; however, the use of mmWave cellular frequencies may appear impractical due to the severe attenuation or blockage by the modern metal coating of the glass. As a result, intra-vehicle deployment of unlicensed mmWave access points becomes the most promising solution for bandwidth-hungry XR devices. In this paper, we present the calibrated results of shooting-and-bouncing ray simulation at 60 GHz for the bus interior. We analyze the delay and angular spread, estimate the parameters of the Saleh-Valenzuela channel model, and draw important practical conclusions regarding the intra-vehicle propagation at 60 GHz. © 2019, Springer Nature Switzerland AG

Wirelessly powered urban crowd sensing over wearables: Trading energy for data

In this article, we put forward the paradigm of mobile crowd sensing based on ubiquitous wearable devices carried by human users. The key challenge for mass user involvement in prospective urban crowd sensing applications, such as monitoring of large-scale phenomena (e.g., traffic congestion and air pollution levels), is the appropriate sources of motivation. We thus advocate for the use of wireless power transfer provided in exchange for sensed data to incentivize the owners of wearables to participate in collaborative data collection. Based on this construction, we develop a novel concept of wirelessly powered crowd sensing and offer the corresponding network architecture considerations together with a systematic review of wireless charging techniques to support implementation. Further, we contribute a detailed system-level feasibility study that reports on the achievable performance levels for the envisioned setup. Finally, the underlying energy- data trading mechanisms are discussed, and the work concludes with outlining open research opportunities. © 2002-2012 IEEE

A Lower Bound on the Average Identification Time in a Passive RFID System

One of the most well-known standards for radio frequency identification (RFID), the standard ISO 18000-6C, collects the requirements for RFID readers and tags and regulates respective communication protocols. In particular, the standard introduces the so-called Q-algorithm resolving conflicts in the channel (which occur when several RFID tags respond simultaneously). As of today, a vast amount of existing literature addresses various modifications of the Q-algorithm; however, none of them is known to significantly reduce the average identification time (i.e., the time to identify all proximate tags). In this work, we derive a lower bound for the average identification time in an RFID system. Furthermore, we demonstrate that in case of an error-free channel, the performance of the legacy Q-algorithm is reasonably close to the proposed lower bound; however, for the error-prone environment, this gap may substantially increase, thereby indicating the need for new identification algorithms. © Springer Nature Switzerland AG 2018

On the benefits of 5G wireless technology for future mobile cloud computing

This paper comprehensively reviews the paradigm of mobile cloud computing, which comprises advantages of mobile computing, cloud computing, and networking. We systematically overview the major benefits offered to mobile cloud computing by the anticipated fifth-generation wireless technology, including the aspects of heterogeneous connectivity, device-to-device and machine-to-machine communications, as well as energy efficiency. Our work concludes by revealing open challenges as well as attractive directions for further research and may be useful for initial orientation in this field. © 2014 IEEE

Maximizing Achievable Data Rate in Unlicensed mmWave Networks with Mobile Clients

In millimeter-wave (mmWave) networks, where faster signal attenuation is compensated by the use of highly directional antennas, the effects of high mobility may seriously harm the link quality and, hence, the overall system performance. In this paper, we study the channel access in unlicensed mmWave networks with mobile clients, with particular emphasis on initial beamforming training and beam refinement protocol as per IEEE 802.11ad/ay standard. We explicitly model beamforming procedures and corresponding overhead for directional mmWave antennas and provide a method for maximizing the average data rate over the variable length of the 802.11ad/ay beacon interval in different mobility scenarios. We illustrate the impact of the client speed and mobility patterns by examples of three variations of the discrete random walk mobility model. © 2019, Springer Nature Switzerland AG