anfaatan Video Tiktok Sebagai Media Pembelajaran Menulis Teks Eksplanasi Peserta Didik Kelas VIIISMPN31 Semarang Tahun Ajaran 2022/ 2023

The background of this research is that the activities of Class VIII students of SMPN 31 Semarang in the learning process are not enthusiastic, students only focus on using books as learning aids. Therefore, in the learning process we need a media-based learning aid that can attract students' attention in order to improve student performance and understanding. It is important to apply TikTok-based learning application innovations to involve students in learning so that the material being taught is easy to understand.    Based on this background, the problem arises How to Use the Tiktok Application as a Learning Media in Writing Explanatory Text Writing Skills for Class VIII Students of SMPN 31 Semarang Academic Year 2022/2023? This study aims to identify the Utilization of the Tiktok Application as a Learning Media in Writing Explanatory Text Writing Skills for Class VIII Students of SMPN 31 Semarang Academic Year 2022/2023. This type of research is mixed method . Data collection was carried out by observation, interview, test and documentation methods.    The results of this study indicate that students in class VIII use the media using the social media application TikTok above, it can be seen that the average score of students in class VIII SMPN 31 Semarang in the 2022/2023 academic year when writing explanatory texts in general is at the moderate level (50- 74). The average score of the students on the explanatory text writing test performance was 66.71 at the sufficient level

Konsep Wisata Hortikultura/Aquaponik di Desa Bulontio Timur

Desa Bulontio Timur yang memiliki area pertanian yang luas dan juga dilewati oleh dua sungai yang memiliki debit air yang banyak merupakan potensi dalam mengambangkan konsep wisata hortikultura/aquaponik di Desa tersebut. Pelaksanaan program KKN Tematik 2020 di Desa Bulontio Timur diharapkan dapat menggugah masayarakat dan pemerintah desa untuk memanfaatkan potensi tersebut dengan harapan dapat meningkatkan produktifitas masyarakat desa Bulontio Timur. Tujuan khusus kegiatan KKN Tekmatik 2020 Desa Bulontio Timur adalah terwujudnya konsep wisata hortikultura/aquaponik terintegrasi. Untuk mencapai tujuan tersebut, Program kegiatan Pengabdian Kepada Masyarakat ini adalah (1) membantu pemerintah Desa Bulontio Timur dan da masyarakat dalam mengembangkan konsep wisata hortikultura/aquaponik terintegrasi Desa bulontio Timur, (2) membangun partisipasi masyarakat Desa Bulontio Timur rangka mewujudkan wisata hortikultura. Kegiatan pengabdian ini dilaksanakan dalam 3 tahap yakni (1) persiapan dan pembekalan, meliputi koordinasi dengan mitra dalam hal ini pemeritah  Desa Bulontio Timur,  coaching mahasiswa peserta KKN, (2) pelaksanaan program  KKN tematik 2020 di  lokasi, meliputi sosialisasi, survei, penyusunan konsep dan master plan (maket) wisata hortikultura/aquaponik terintegrasi berdasarkan hasil diskusi dengan pemeritah dan tokoh masyarakat dan membangun partisipasi masyarakat yang mendukung program wisata hortikultura dengan mengadakan lomba TOGA (Tanaman Obat Keluarga), dan (3) Evaluasi dan pelaporan. Sebagai Luaran dari program Pengabdian Kepada Masyarakat adalah dihasilkan (1) master plan konsep wisata hortikultura/aquaponik terintegrasi di Desa Bulontio Timur dalam bentuk maket dan Animasi, (2) terbangunnya partisipasi masyarakat dengan ikut serta dalam kegiatan TOG

A lightweight deep learning-based approach for concrete crack characterization using acoustic emission signals.

This paper proposes an acoustic emission (AE) based automated crack characterization method for reinforced concrete (RC) beams using a memory efficient lightweight convolutional neural network named SqueezeNet. The proposed method also includes a signal-to-image technique, which is continuous wavelet transformation (CWT) that decomposes the AE signals over time-frequency scales and extracts the crack/fracture information in both the time and frequency domains. First, AE signals for two types of cracks (minor and severe), along with the normal condition (no crack), are collected from the experimental test bed. Second, the previously mentioned CWT based signal-to-image technique is applied to generate two-dimensional time-frequency images that are then converted to gray scale images for faster computation. These images are supplied to the SqueezeNet for classification of the concrete crack types. We extensively modified the fire module of the SqueezeNet (SQN-MF) by introducing depth-wise convolutional kernels and channel shuffling operations. Not only does the proposed method utilize deep learning-based techniques for crack classification of concrete beams for the first time, but also the CWT-based imaging technique has not yet been explored in this field either. Additionally, this method does not follow the typical AE burst feature (features like AE counts, peak-amplitude, rise time, decay time, etc.) based methods, and as a result, we no longer require extensive human intervention and expertise to get deep understanding of the crack types. SQN-MF achieves AlexNet-level accuracy with fifty times fewer parameters and has an implementable memory size for the field programmable gate array boards. Overall, the method achieves 100% accuracy. It is 20.8% higher than the typical feature extraction and traditional machine learning based methods. We observed a 4% accuracy increase for the proposed SQN-MF compared to the typical SqueezeNet with bypass connections

Perancangan Data Warehouse Untuk Data Penelitian Di Perguruan Tinggi Menggunakan Pendekatan Nine Steps Methodologhy

Data yang berada dan digunakan pada perguruan tinggi bermacam-macam seperti data akademik, data mahasiswa, data penelitian, dan lain-lain. Penggunaan teknologi data warehouse banyak digunakan oleh berbagai industri karena memungkinkan integrasi berbagai macam aplikasi atau sistem. Desain data warehouse yang efektif dapat membantu manajemen lembaga untuk memutuskan evaluasi kritis untuk organisasinya. Penelitian ini membahas tentang perancangan data warehouse untuk data penelitian di perguruan tinggi menggunakan pendekatan nine steps methodology. Data warehouse penelitian yang telah dibuat, berguna didalam menganalisis data-data penelitian di perguruan tinggi. Sebelumnya perguruan tinggi tersebut belum mempunyai database untuk data penelitian. Sehingga dapat dijadikan sebagai analisis data menggunakan OLAP untuk dijadikan pendukung pengambilan keputusan

ReviewRanker: A Semi-Supervised Learning Based Approach for Code Review Quality Estimation

Code review is considered a key process in the software industry for minimizing bugs and improving code quality. Inspection of review process effectiveness and continuous improvement can boost development productivity. Such inspection is a time-consuming and human-bias-prone task. We propose a semi-supervised learning based system ReviewRanker which is aimed at assigning each code review a confidence score which is expected to resonate with the quality of the review. Our proposed method is trained based on simple and and well defined labels provided by developers. The labeling task requires little to no effort from the developers and has an indirect relation to the end goal (assignment of review confidence score). ReviewRanker is expected to improve industry-wide code review quality inspection through reducing human bias and effort required for such task. The system has the potential of minimizing the back-and-forth cycle existing in the development and review process. Usable code and dataset for this research can be found at: https://github.com/saifarnab/code_revie

UHF RFID split-ring resonator tag antenna inductively coupled feed for metallic object

In this paper, a split-ring resonator and an inductively coupled feed technique are designed to improve the RFID tag antennas performance. The presented tag antenna consists of two symmetrical C-shaped resonators with strip line in order to feed the radiating split-ring resonator structures by implementing an inductively coupled feed approach placed on the upper surface of Polytetrafluoroethylene substrate. By selecting a proper length and width of spilt-ring resonator structures, along with desirable coupling distance between two symmetrical C-shaped resonators and spilt-ring resonator structures, the input impedance of tag antenna can be obtained, which leads to attain an excellent conjugate match between antenna and IC chip. The proposed feeding technique and spilt-ring resonator structures offer a better performance of RFID tag among antenna size, reflection coefficient, and gain. The gain of the designed tag antenna is -2.272 dB at its operating frequency (916 MHz), the tag antenna is mounted on a square perfect electrical conductor of 200 mm side length, while the thickness of PEC is 1 mm. The simulation results were verified by the presented method via enhancing the performance of tag antennas for metallic object

Acromegaly Presenting as Cardiac Failure - A Case Report

Acromegaly is characterized by chronic hypersecretion of growth hormone (GH) and is associated with increased mortality rate because of the potential complications such as cardiovascular disease, respiratory disease, or malignancy, which are probably caused by the long-term exposure of tissues to excess GH, for at least 10 years, before diagnosis and treatment. Here we are reporting a case of acromegaly who initially presented with features of left ventricular failure for which she got herself admitted in CCU and was treated conservatively. Later on, after clinical examination and investigations she was diagnosed as a case of mitral regurgitation due to cardiomyopathy caused by acromegaly. After the successful transsphenoidal resection of the pituitary microadenoma, the level of GH was normalized and heart failure improved. Key words: acromegaly; heart failure; Pituitary microadenoma. DOI: http://dx.doi.org/10.3329/bsmmuj.v4i2.8644 BSMMU J 2011; 4(2):122-12