The COVID-19 pandemic, apart from having an impact on public health, has also caused the stagnation of travel-bureau businesses and the management of small and medium enterprises (SMEs) in the tourism sector. This study aims to analyze the COVID-19 pandemic as a determinant of travel-business stagnation and turbulence in small and medium enterprises (SMEs), the influence of human resources, business development, and product marketing on the productivity of the travel and SME business, the direct and indirect effects of business innovation, economic digitization, and the use of technology on business stability and economic-business sustainability. This study uses an explanatory sequential qualitative–quantitative approach. Data were obtained through observation, in-depth interviews, surveys, and documentation. This study is focused on assessing the efforts made by travel-agency-business actors and SMEs in responding and adapting to changes in the business environment, both internally and externally. Human resources, business development, and product marketing together affect the productivity of travel agents and SMEs with a coefficient of determination of 95.84%. Furthermore, business innovation, economic digitization, and the use of technology simultaneously affect business stability with a coefficient of determination of 63.8%, and business stability affects the sustainability of travel and SMEs with a coefficient of determination of 67.6%. This study recommends a strategy for travel-agency-business sustainability and the stability of SMEs’ economic-business management towards increasing economic growth in the North Toraja Regency, South Sulawesi, Indonesia.
Stunting pada balita merupakan salah satu tantangan pada bidang kesehatan paling penting bagi pertumbuhan manusia, yang mempengaruhi sekitar 162 juta balita di dunia. Studi literatur ini bertujuan mengetahui hubungan faktor sanitasi dengan stunting. Tulisan ini bersumber dari artikel yang terdapat pada basis data PubMed dan Google scholar. Pencarian literatur bahasa Indonesia dilakukan dengan kata kunci: stunting, kepemilikan jamban sehat, akses air bersih, dan cuci tangan pakai sabun, sedangkan untuk pencarian literatur bahasa Inggris dilakukan dengan kata kunci: stunting, healthy latrines, clean water, dan hand washing. Pencarian berbatas dimulai dari tahun 2014 hingga tahun 2019 yang bisa diakses secara penuh (full text) dalam format pdf serta memiliki desain penelitian kasus kontrol, cross sectional, dan kohort. Dua belas artikel yang memenuhi kriteria inklusi kemudian ditelaah. Kepemilikan jamban sehat, akses air bersih, dan cuci tangan pakai sabun diindikasikan sebagai faktor penyebab stunting pada balita. Beberapa hasil penelitian yang telah dilakukan dapat dijadikan dipertimbangkan untuk melakukan penanganan stunting melalui intervensi lingkungan.
Agam District Government has the goal of improving economic growth rate of 5.94 percent in 2011 to 7.98 percent in 2017. However, the constraints experienced by the development of the animal husbandry sector is a decrease in the growth rate of the animal husbandry sector and the contribution to the GDP, it is necessary for the development of the animal husbandry subsector in Agam by taking into account various aspects. This study aims to analyze the potential and role of formulating priority strategies of alternative development strategy animal husbandry subsector. Results of the analysis of the animal husbandry subsector LQ is a commodity basis. The shift results proportional growth 10.72 percent negative growth. Region share growth of 2.33 percent. The results obtained from the alternative strategies SWOT matrix were analyzed using QSPM. development and coaching each region based on the existing potential (6.278), increasing the promotion and development of human resources breeder (5.773), to build and develop patterns of cooperation and mutual benefit (5.618), examination of animal health and disease prevention (5.406), implementation and development appropriate technology (5.330) and optimization in securing local resources (4.982). Selected strategic alternatives of highest appeal total development strategy as well as coaching is done each region based on the existing potential (6.278), then the suggestions can be made to the Government Agam namely increasing the number of livestock extension workers and attract investors to develop the livestock subsector in Agam District.
Contribution: This article contributes to the sustainable development goal of poverty alleviation. It focuses on a multidisplinary religious perspective from textual and hermeneutical studies within the paradigm of Qur'an studies.
ABSTRAK. Penelitian ini bertujuan untuk mengetahui model peramalan dimana jumlah keberangkatan penumpang pada PT. Angkasa Pura II (Perseron). Kantor cabang bandar udara Internasional Iskandar Muda dengan menggunakan Metode Seasonal Autoregresive Integrated Moving Average (SARIMA). Data jumlah keberangkatan di bandar udara Internasional Iskandar muda merupakan data dengan pola musiman. Data yang digunakan merupakan data sekunder yang diperoleh dari Bandara Sultan Iskandar Muda periode Bulan Januari 2010 hingga Desember 2016. Model terbaik yang diperoleh yaitu ARIMA (0,1,1)(0,0,1)12. Sedangkan berdasarkan data peramalan yang diperoleh dapat diketahui bahwa diprediksi jumlah penumpang pesawat tetinggi pada tahun 2017 akan terjadi pada Bulan Desember, dan jumlah penumpang pesawat terendah diprediksikan akan terdapat pada Bulan Maret 2017. Kesimpulan akhir yang diperoleh yaitu jumlah penumpang pada Tahun 2017 akan mengalami peningkatan dibandingkan dengan Tahun sebelumnya.ABSTRACT. This study aims to determine the model of forecasting where the number of passengers at PT. Angkasa Pura II (Perseron). International branch of Iskandar Muda International Airport using Seasonal Autoregresive Integrated Moving Average (SARIMA) method. Data on the number of departures at Iskandar International Airport are young data with seasonal patterns. The data used are secondary data obtained from Sultan Iskandar Muda Airport during January 2010 to December 2016. The best model is ARIMA (0,1,1) (0,0,1)12. While based on forecasting data obtained can be seen that predicted the number of passengers in 2017 will occur in December, and the lowest number of passengers is predicted to be in March 2017. Final conclusion obtained that the number of passengers in the Year 2017 will increase compared with the previous Year.
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