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Dampak Covid-19 di Kampoeng Heritage Malang Yuliana Trisna Manding; Nanny Roedjinandari; Aprilia Rachmadian; Irwan Yulianto
Jurnal Perhotelan, Destinasi Wisata, Perjalanan Wisata (Jurnal Tesla) Vol 2, No 1 (2022): June 2022
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (746.304 KB) | DOI: 10.26905/jt.v2i1.7504

Abstract

ABSTRACT In this paper, the author pays special attention to a theme,namely the impact of covid-19 in the  Village of Heritage Malang. The problem studied in this paper is the decline in income in Heritage Village,Malang due to covid-19. The method used in this paper is a qualitative method. The purpose of this study was to determine the development of tourism in the Heritage Kajoetangan Village in the face of the covid-19 pandemic and to know the history and atmosphere of Heritage Village before and after the covid-19 pandemic. Covid-19 certainly has a big impact on tourism life. Tourism is one sector that has an important role in a city or region. Tourism can contribute the largest foregin exchange and provide employment opportunities for the local community so as to help increase tourism in the Heritage Kajoetangan Village Malang City. At the beginning of 2020, Indonesia was shaken by a very dangerous corona virus outbreak. 2020 will be a different year for all sectors, especially for the tourism sector in Heritage KajoetanganVillage,Malang city. Malang city is one of the highest increase in positive cases of covid-19. With the increase in positive cases of covid-19 in the city of malang. The government has firmly issued a policy of lockdown and limiting activities and following health protocols such as maintaining distance, wearing mask, and wasing hands. Thus the tourism sector experienced a decline in income. The results of this study show that with the corona virus all tourism places, especially in the Heritage Kajoetangan Village, Malang city, are temporarily closed. During the covid-19 pandemic, in Heritage Kajoetangan Village, Malang city did not receive touri st visits but continued to promote through social media to increase the attractiveness of future tourists.
ANALISIS FORECASTING DEMAND OBAT TABLET DI GUDANG OBAT DINAS KESEHATAN PROVINSI JAWA BARAT: ANALISIS FORECASTING DEMAND OBAT TABLET DI GUDANG OBAT DINAS KESEHATAN PROVINSI JAWA BARAT Martikasari, Arida; Naura Rizky Aulia; Firman Hidayat Raharjo; Irwan Yulianto
Hexagon Vol 6 No 2 (2025): Vol. 6 No. 2 (2025): HEXAGON - Edisi 12
Publisher : Fakultas Teknologi Lingkungan dan Mineral - Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36761/hexagon.v6i2.5769

Abstract

The medicine warehouse of the West Java Provincial Health Service is a drug dispensing center which has various data regarding drug dispensing in 2023. Data analysis shows that drugs in tablet form are the most dominant unit in the dispensing process, with total dispensing reaching 3,648 times to all health facilities or City/Regency Health Offices throughout West Java. Given the significance of the use of tablet drugs, this study proposes the application of demand forecasting analysis as a strategy to improve the efficiency of drug inventory management. By predicting the demand for tablet drugs, the West Java Provincial Health Office can more effectively prepare drug stocks, reduce the risk of shortages or excess stock, and respond to high market demand. Based on the results of data processing carried out using the Simple Linear Regression Forecasting analysis of the Antiretroviral (ARV) drug program, the MAPE was obtained at 69%, smaller than the MAPE from the Single Exponential Smoothing Forecasting analysis of 83.780%. Meanwhile, for the Buffer drug program, the Single Exponential Smoothing Forecasting analysis is more accurate than the Simple Linear Regression Forecasting analysis because the MAPE calculation results from the exponential smoothing analysis of 79.088% are smaller than the Simple Linear Regression MAPE calculation of 85%. It is expected that the demand forecasting analysis model can be a strategic tool for the Ministry of Health's drug warehouse in overcoming the challenges of drug inventory management, while reducing overall drug procurement costs.