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    From Gold to Gaze: The Gendered Lens of Body Shaming in Online Media Coverage of Female Athletes

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    This study examines the construction of gender identity in online media coverage, focusing on the issue of body shaming directed at female athletes. The case of Indonesian weightlifter Nurul Akmal, who experienced body shaming after her participation in the 2020 Tokyo Olympics, is analysed using Alan McKee’s text analysis method, a descriptive qualitative approach, and a constructivist paradigm. News articles from eight prominent Indonesian online media outlets — CNNIndonesia.com, Kompas.com, Tempo.co, Detik.com, Republika.co.id, Liputan6.com, and Okezone.com — were selected as the primary data sources. The findings reveal that online media frequently frame negative commentary on female athletes' physical appearance as innocuous humour or mere jest. Furthermore, the portrayal of female athletes as passive or powerless reinforces their subordinate status within the patriarchal structure, limiting their ability to resist or challenge such derogatory narratives. This media construction not only perpetuates gender stereotypes but also undermines efforts to promote gender equality within the realm of sports. The study highlights the need for more critical and gender-sensitive reporting practices to counteract these harmful representations

    Effect of Mixing Sequence on Green Concrete Using Artificial Coarse Aggregate

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    The mixing method for green concrete with a mixture of Ground Granulated Blast Furnace Slag (GGBFS), Fly Ash and artificial coarse aggregate is an important thing that needs special attention to achieve a uniform mixture of materials. Testing the effect of the mixing sequence was carried out to obtain the optimum mixing sequence for the green concrete mixture. The experiment was carried out using 4 different methods, namely a combination of 25% fly ash, 25% GGBFS and 25% artificial coarse aggregate with different mixing sequences for cement material, coarse aggregate, fine aggregate, artificial aggregate as well as water and admixture dosages. Test results based on workability parameters, slump loss, compressive strength, split tensile strength, concrete shrinkage and heat of hydration show that mixing method 4 has 5% higher compressive strength results than other methods, and produces optimum workability and slump loss. Concrete mixed with GGBFS, Fly Ash and artificial coarse aggregate can reduce the heat of hydration by 15%. Artificial coarse aggregate reduces compressive strength by 7%, but has better concrete shrinkage

    Harnessing Ocean Alkalinity Enhancement (OAE) for CO₂ Decomposition and Renewable Energy Production : The AODOP Innovation Towards Net-Zero Emissions 2060

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    As the concentration of carbon dioxide (CO₂) in atmosphere increases, carbon emissions entering the oceans have become a significant concern in context climate change studies as stated by the Intergovernmental Panel on Climate Change (IPCC) report, 30% of anthropogenic CO₂ emissions are absorbed by the oceans, leading decrease in ocean pH and harmful impacts on marine ecosystems. In order to address this challenge, Ocean Alkalinity Enhancement (OAE) has emerged as a promising strategy. By using calcium carbonate compounds, OAE aims to increase seawater alkalinity and enhance its capacity to decompose CO₂. The practical implementation of OAE until now is still under further research. Therefore, the initial stage of this application will be carried out in a storage tank as an initial trial before being applied on a large scale. Furthermore, the results of the OAE process can contribute to production of renewable energy through the implementation of Pressure Retarded Osmosis (PRO) technology, which leverages the salinity gradient between seawater with high alkalinity and freshwater to generate energy. By combining OAE with PRO this approach offers a promising pathway toward a thriving blue future to facilitate the integration of marine ecosystems in achieving sustainability and net-zero emission by 2060

    Faktor-Faktor yang Berpengaruh dalam Pemilihan Material Ramah Lingkungan pada Proyek Jalan

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    Pembangunan infrastruktur jalan tidak hanya meningkatkan aksesibilitas masyarakat tetapi juga menambah limbah industri konstruksi. Proyek perkerasan jalan memerlukan bahan baku dalam jumlah besar, yang berdampak signifikan terhadap lingkungan. Oleh karena itu, penerapan material ramah lingkungan (green material) menjadi alternatif untuk mengurangi dampak lingkungan, menghemat energi, mengurangi biaya, dan meningkatkan sistem sosial. Penggunaan material ramah lingkungan merupakan salah satu strategi pemerintah dalam mencapai pembangunan berkelanjutan yang dikenal sebagai Sustainable Development Goals (SDGs). Penelitian ini bertujuan untuk mengidentifikasi faktor-faktor yang mempengaruhi pemilihan material berkelanjutan untuk perkerasan jalan nasional melalui analisis statistik deskriptif. Hasil penelitian menunjukkan bahwa kriteria ekonomi adalah faktor utama dalam pemilihan green material, diikuti oleh kriteria lingkungan dan sosial. Penelitian ini dapat menjadi referensi bagi pemerintah dalam memilih green material untuk proyek jalan nasional yang berkelanjutan

    Forecasting Tourist Visits During The Covid-19 Pandemic and MotoGP Events Using The Sarima Method

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    The 5.0 era has made the tourism sector one of the measures of the economic welfare of a region, such as in West Nusa Tenggara (NTB). This is proven by the presence of various types of MSMEs and their innovations and the increasing number of tourist visits to NTB from year to year. The condition of the tourism sector certainly has a positive impact on increasing NTB's economic growth and indirectly on optimizing existing infrastructure. However, extraordinary events such as the earthquake in 2018 and the COVID-19 pandemic resulted in the decline of NTB tourism visits. Then tourist visits in NTB increased again with the holding of the MotoGP  Event. The purpose of this study is to forecast the number of tourist visits to NTB. This is very much needed in helping the government to prepare appropriate policies if there is a possibility of a surge in tourist visits in the following years. As well as anticipating if there are other extraordinary events such as earthquakes or global cases. The method used in this study is the Seasonal Autoregressive Integrated Moving Average (SARIMA) Method. The stages in this method are by describing data, preprocessing data, identifying stationary models, estimating models, selecting the best SARIMA model and forecasting with the obtained model to forecasting the next desired period. The results of research that have been conducted state that in 2023 to 2024 the number of tourists visiting NTB continues to increase both domestically and abroad. It is hoped that the results of this research will be able to provide information and contribute knowledge and consideration materials in policy making in the development of NTB government tourism

    Estimation of Paddy Productivity at Subdistrict Level using Geoadditive Small Area Estimation Model in Ponorogo Regency

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    Paddy is the most important food crop in the world and it is the source of food needed by more than half of the population on a global scale. However, the world is experiencing the threat of a food crisis, so the Indonesian government continues to be committed to increasing national paddy production and ensuring food sufficiency in the country by implementing food self-sufficiency programs in each region. Paddy productivity data can be used as one of the government's benchmarks to assess the success of the food self-sufficiency program, but BPS-Statistics Indonesia only provides data on paddy productivity up to the district/cities level. Therefore, this study aims to estimate paddy productivity at sub-district level using the Geo-SAE method. Based on the research results, the estimation of the average paddy productivity in Ponorogo Regency in 2022 using Geo-SAE was obtained at 5.8 tons/ha and resulted in a smaller RSE value compared to the direct estimation at sub-district level. This indicates that the Geo-SAE method has better precision than the direct estimation method. Meanwhile, additional result from estimation of paddy productivity shows that in Ponorogo Regency in 2022 there is a large rice surplus. Therefore, it can be said that Ponorogo Regency is experiencing a very good food sufficiency condition

    Design of automatic fire extinguishing system with interactive web display

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    An automatic fire extinguishing system prototype has been designed. This design consists of software and hardware design. Software design involves sensors, actuators, controllers, sim900 modules and website interfaces. Hardware design is to make a prototype fire extinguishing system. Fire extinguishing system testing is done by testing the system's components such as sensors, actuators, sim900 modules, and website responses to the database. LM35 Sensor testing resulted in a measurement error of 3.29% with a measurement accuracy of 96.8% and MQ135 Sensor testing resulted in an error of 16.6% with a measurement accuracy of 90.4%. The MQ135 Sensor error is quite large because the standard measuring instrument used as a comparison measures changes in ppm levels very quickly. The actuator test results show that the buzzer can provide notification when the LM35 Sensor exceeds the set point of 57 ℃ and the MQ135 Sensor reaches 101 ppm. The relay is active when both sensors have reached the set point, and the pump will turn on to extinguish the fire. The results of testing the entire system show that the sensor works well in detecting temperature and smoke level changes so that the actuator will turn on when the temperature and smoke levels have reached the set point. The SIM900 module will send an SMS to the user if a fire is indicated. The interface of this system displays the temperature measurement levels and smoke levels in real time on the website

    Studi Kesenjangan Upah Tenaga Kerja Berdasarkan Gender pada Industri Manufaktur: Penelitian dengan Dekomposisi Blinder-Oaxaca di PT. XY, Kabupaten Tulungagung

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    Penelitian ini bertujuan untuk menganalisis kesenjangan upah berdasarkan gender di PT. XY, Kabupaten Tulungagung dengan menggunakan metode Dekomposisi Blinder-Oaxaca. Data diperoleh melalui survei lapangan yang melibatkan 197 tenaga kerja terdaftar pada BPJSTIK, terdiri dari 50 laki-laki dan 147 perempuan lulusan SMA, yang bekerja pada kategori low-wage-jobs: (i) produksi, (ii) pengemasan, (iii) teknisi, dan (iv) pengiriman. Analisis kesenjangan upah mempertimbangkan faktor sosial-demografis (status pernikahan, status dalam rumah tangga, dan usia), faktor modal manusia (pendidikan, pelatihan, dan pengalaman kerja), faktor karakteristik pekerjaan (jenis pekerjaan, jam kerja, dan produktivitas). Data upah digunakan untuk mengukur kesenjangan upah antara tenaga kerja laki-laki dan perempuan dengan menggunakan regresi Robust, sehingga dapat mengatasi pelanggaran asumsi normalitas dan heterokedastisitas pada model OLS akibat ditemukan Outlier. Hasil dari metode Dekomposisi Blinder-Oaxaca ditemukan 37.71% poin dari faktor explained, sementara 62.27% poin dari faktor unexplained atau terjadinya diskriminasi. Analisis lebih lanjut menemukan bahwa pelatihan, jenis pekerjaan, dan jam kerja adalah variable yang signifikan memengaruhi kesenjangan upah berdasarkan gender. Eksplorasi lebih lanjut menggunakan in-depth-interview bersama 14 responden dari tenaga kerja dan ahli gender. Hasil kualitatif menunjukkan tingkat pengangguran yang tinggi, kurangnya transparansi pengupahan, pandangan masyarakat daerah, pekerjaan palugada, serta ketiadaan HRD sebagai penyebab diskriminasi. Penelitian ini diharapkan memberikan kontribusi praktis dalam mengurangi isu gender pada tenaga kerja khususnya di sektor manufaktur, Kabupaten Tulungagung

    Integration-Based Method as an Alternative Way to Estimate Parameters in the IV Bolus Compartment Model

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    An alternative method of integration-based parameter estimation applied in pharmacokinetics problems is proposed here. The method, introduced by Holder and Rodrigo, is used to estimate the rate of drug elimination and distribution when it enters the body via intravenous bolus. The estimation results are then compared with the classical method, the least squares method for the one-compartment model, and the residual method for the two-compartment model. Graphical simulations of drug concentration versus time are also performed in this article to view not only the dynamics of drug delivery in the body, but also the comparisons between the approximate solutions and the arbitrarily generated data points. Comparisons are also presented when the data points take into account noise in the form of random values. Based on the estimation and simulation results, the integration-based method gives good results and even better than the classical method although when noise is applied to the data points

    Kinerja Lalu Lintas Berdasarkan Okupansi, Komposisi Kendaraan pada Bundaran Tirosa Kota Kupang

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    Nilai ekuivalen mobil penumpang (emp) untuk kendaraan berat (HV) dan sepeda motor (MC) merupakan titik awal untuk analisis operasional fasilitas jalan dan penerapan manajemen lalu lintas. Penelitian ini bertujuan untuk mendapatkan nilai ekivalen mobil penumpang (emp) pada bundaran yang sesuai dengan kondisi lalu lintas Kota Kupang berdasarkan okupansi dan komposisi kendaraan. Hasil penelitian yang didapat yaitu emp berdasrkan waktu Okupansi untuk jenis kendaraan HV dan MC adalah 2,97 dan 0,13. Sedangkan berdasarkan komposisi kendaraan nilai Ekivalen Mobil Penumpang (emp) untuk jenis kendaraan HV dan MC adalah 2,81 dan 0,32. Kinerja lalu lintas berdasarkan okupansi dan komposisi kendaraan masuk dalam tingkat pelayanan C, sedangkan berdasarkan MKJI 1997 masuk dalam tingkat pelayanan F. Disesuaikan dengan kondisi lapangan maka, kinerja lalu lintas berdasarkan okupansi dan komposisi kendaraan lebih akurat bila dibandingkan dengan emp berdasarkan MKJI 199

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