Paper.id is a platform that offers convenience in managing business that can be used by UMKM to large companies. Paper.id uses a tagline which is “Software Invoice #1 in Indonesia”. However, the tagline is difficult to hear and accept in the community. So the purpose of this study is to determine the effect of the tagline on brand awareness on Paper.id invoice software. In this paper, the researcher uses a quantitative approach with data collection methods in the form of online questionnaires which are distributed to a sample of 93 people who are active users of Paper.id, especially those in the North Jakarta area. This study uses primary data, namely data from questionnaires and secondary data, namely data obtained through various literature references, namely the internet, books, journals, to articles published on the internet. This research uses advertising theory, tagline theory and brand awareness theory.The results of this study indicate the influence of the tagline on a brand awareness that is on the Paper.id invoice software by 71.8%. Paper.id and it is recommended in the future to be able to see how much influence the tagline has in advertising so that it is hoped that in the medium or long term to get more and more competitive profits and public interest.
Testing of a greenhouse model condensation machine to purify the sea water needs to be developed to obtain fresh water. The purpose of this research is to transform seawater using solar energy by using the greenhouse effect principle This research uses testing machine performance to get pure water potential from sea water deselination. The test result of this machine has been able to vaporize seawater in one day ranging from 421 ml-814 ml, while water that can be harvested in one day ranges from 97.5 ml – 152.5 ml. The energy efficiency gained in this machine ranged from 21.22%-46.63%, while the efficiency of the evaporation result of this machine obtained the value ranged from 18.73%-24.85%. This machine has been able to convert seawater into fresh water by using the principle of greenhouse effect but still not able to work optimally.Keywords: fresh water, greenhouse effects, seawater
The signal quality received by the mobile device may be poor due to impediments between the base station and the mobile station, such as building structures or vast distances. This poor quality will cause communication issues, therefore need a repeater at the receiver. The difference between active and passive repeaters is the power needs and the absence of active components (amplifiers). An active repeater requires an active power supply and components (amplifier), whereas a passive repeater does not (amplifier). When a 4G network signal is transmitted, it is likely to be attenuated by elements such as air, weather, or barriers. To address this, we need a repeater that can enhance the transmitted signal so that users can receive it correctly.
Green Business has been a detrimental topic to the current industry in almost every sector. Therefore, there need to be actions that help us transition into a more sustainable future. This research studies how Pro-Environmental Behaviour (PE) might influence Leadership for Sustainability (LS) and how this could motivate others to have a more sustainable lifestyle. This study is carried out with questionnaires for employees in Jakarta. It will be analyzed using the Rasch measurement model and Linear Regression analysis. As for how it turned out, PE indeed proved to have a significant influence on LS. Therefore, most people do have a high degree of PE and LS. Most people who have a high degree of LS were also accompanied by a high degree of PE. This implies that most people have a vision for a better, more sustainable future and are actively working towards it. Therefore, there should be help from businesses to help them achieve this. The questionnaires were filled out by 221 respondents, and a total of 191 were taken as valid responses.
Riset ini berusaha agar mengidentifikasi serta menganalisis, baik secara individual maupun secara simultan, dampak nilai tukar, suku bunga, serta inflasi terhadap IHSG di Indonesia. Riset ini menggunakan 40 sampel data dengan teknik analisis Ordinary Least Square. Data telah memenuhi persyaratan asumsi Gauss Markov. Hanya nilai tukar yang memberikan dampak terhadap IHSG. Nilai uji determinasi menunjukkan bahwasannya IHSG dapat dijelaskan oleh nilai tukar, suku bunga dan inflasi. Sedangkan sisanya dijelaskan oleh faktor lain yang tidak diteliti dalam penelitian ini. Kata Kunci : Nilai Tukar, Suku Bunga, Inflasi, IHSG
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