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Journal : Proceeding of International Conference Health, Science And Technology (ICOHETECH)

LCGC Car Demand Forecast Analysis with Two Forecasting Method (case studies of consumer in Indonesia) Tri Wisudawati; Indah Wahyu Utami; Retna Dewi Lestari; Wahyu Adhi Saputro
Proceeding of International Conference on Science, Health, And Technology 2021: Proceeding of the 2nd International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (474.903 KB) | DOI: 10.47701/icohetech.v1i1.1150

Abstract

The economy of a country is basically supported by many sectors, one of which is the automotive industry sector with the designation as a provider of transportation facilities. The policy regarding transportation facilities is supported by the ministry of industry which issued a policy on environmentally friendly cars or low cost green cars (LCGC). Apart from being environmentally friendly, the car also has an affordable price in the community. Forecasting sales of LCGC cars is important for many companies that use past sales data to predict the amount of production that must be done so that goods continue to sell according to company targets. This will have an impact on the life and death of the automotive industry sector in the region. Important forecasting is done by many companies that use past sales data to predict the amount of production that must be done so that goods continue to sell according to the company's target. The data used in this research is secondary data. The secondary data needed in this study is the data on LCGC car sales in Indonesia from December 2019 to November 2020 obtained from secondary data sources. The data analysis method used in this research is exponential smoothing and trend analysis using POM QM software for Windows. The results also show that a good method to use as a sales forecasting method is the exponential smoothing method. This is because this method has a smaller MAPE value than the MAPE value in the trend analysis method. The MAPE figure for exponential smoothing is 4.9%, while the MAPE figure on the trend analysis method is 6.69%. In the exponential smoothing method, it is predicted that the sales of LCGC type cars in the next period are approximately 8448 units, while according to the trend analysis method, the sales forecast for the next period is 3894 units.
The Role of Social Media Instagram and Identification of Factors in The Revisit Intention to Gunung Api Purba Nglanggeran Kumaratih Kumaratungga Dewi; Aditya Solichin; Dhea Ayu Resky Amalia; Tri Wisudawati; Wahyu Adhi Saputro
Proceeding of International Conference on Science, Health, And Technology 2021: Proceeding of the 2nd International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (587.031 KB) | DOI: 10.47701/icohetech.v1i1.1152

Abstract

Tourism is a sector that is currently a priority for the current government. This is not something that is surprising, because Indonesia has thousands of tourist destinations. The types are also very diverse according to the natural, cultural and historical riches in Indonesia which are unique to each. The government is targeting tourism as the largest contributor to foreign exchange. D.I Yogyakarta itself has a tourist attraction that will not disappoint visitors. The designation of Yogyakarta as a tourism area illustrates the potential of this province in a tourism perspective. Various types of tourism objects have been developed in this area, such as nature tourism, historical tourism, cultural tourism, educational tourism, and shopping tourism. One of the tourist sites in D.I Yogyakarta that must be visited is the Nglanggeran Ancient Volcano. This tourist location has received many awards so it is indeed worth a visit. This study aims to determine what factors influence the revisit intentions of tourists to the Gunung Api Purba Nglanggeran. This study uses primary data and secondary data. Primary data is obtained by using direct interviews with tourists who have come to Gunung Api Purba Nglanggeran at least twice. Secondary data is used to strengthen primary data. Secondary data were obtained from relevant sources such as books and journals. This study used a sample of 60 people. The data analysis method used in this study is multiple linear regression analysis. There are three independent variables used in this study, namely attractiveness, service quality and facility, while the dependent variable used in this study is revisit intentions. Based on the results of research using the F-test, it can be concluded that the independent variables of attractiveness, service quality and facility together have an effect on the dependent variable revisit intentions. Based on the results of the research that has been done, it can be seen that there are two variables that affect revisit intentions in Gunug Api Purba Nglanggeran, namely the attractiveness and service quality variables, while there is one variable that has no effect, namely facilities. The attractiveness variable has a t test significance value of 0.0178 while the service quality variable has a t test significance value of 0.0001. The meaning of these two values ​​means that both of them are less than the alpha value of 5% so that both variables are significant. If you look at the value of the regression coefficient on the attractiveness and service quality variables, it is positive so that the increase in the value of both will increase the interest in returning to Gunung Api Purba Nglanggeran
Co-Authors Aditya Solichin Aditya Solichin Ahmad Fauzi Ahmad Fauzi Ali Hasyim Al Rosyid Ali Hasyim Al Rosyid Ali Hasyim Al Rosyid Ali Hasyim Al Rosyid Ali Hasyim Al rosyid, Ali Hasyim Altri Mulyani Amalia, Dhea Ayu Resky Anggrasari, Herdiana Any Suryantini Aris Prio Agus Santoso Budi Dharmawan Budi Dharmawan Budiyoko Budiyoko Budiyoko Budiyoko Budiyoko Budiyoko Budiyoko Candarisma Dhanes Noor Viana Candarisma Dhanes Noor Viana Candarisma Dhanes Noor Viana Devi Aprilia Dewanti Risa Utami Dewi Oktaviyanti Dhea Ayu Resky Amalia Dhea Ayu Resky Amalia Dhea Ayu Resky Amalia Dindy Darmawati Putri Ecclisia Sulistyowati Ecclisia Sulistyowati Ecclisia Sulistyowati Eka Nur Jannah Fachruddin Edi Nugroho Saputro Fauzi Ahmad Muda Fery Wisnu Saputro Fery Wisnu Saputro, Fery Wisnu Fitri Amalinda Harahap Garnet Filemon Helbawanti, Octaviana Helbawanti, Octaviana Helbawanti Indah Wahyu Utami Indrawan Firdauzi Irene Kartika Eka Wijayanti Kumaratih Kumaratungga Dewi Kurniawan, Thauefek Kusnaman, Djeimy Lestari, Retna Dewi Lily Katniaty Lutfi Zukkifli Lyly Katniati Malinda Aptika Rachmah Masyhuri Masyhuri Moh. Yusuf Dawud Muhammad Bachtiar Musthafa Muhammad Soleh Mustaufik Musta’in Musta’in Musta’in Musta’in Ningrum, Restie Novita Novitaningrum, Restie Prasetyo, Kunandar Pratiwi, Liana Fatma Leslie Qurotu Ayun Qurotu Ayun Ramadhani A Sunaryono Ramadhani Ardhianto Karsa Sunaryono Restie Novitaningrum Ringgo Ismoyo Buwono Ringgo Ismoyo Buwono Romadhoni Usflida Sari Rosita Dewati, Rosita Safitri Nur Rohmah Shidiq Kurniawan Singgih Purnomo Sri Hidayati Sulistyowati, Ecclisia Sunendar Sunendar Sunendar Thauefek Kurniawan Tri Wisudawati Tri Wisudawati Tri Wisudawati Tri Wisudawati Ulfa, Amalia Nadifta Ulfah Nurdiani Umi Salamah Umi Salamah Utami, Dewanti Risa Utomo, Widianto Prasetyo Viana, Candarisma Dhanes Noor Widianto Prasetyo Utomo Wisudawati, Tri Wiwik Sariningsih Yuli Fidayani Yuli Fidayani Yunita Firdha Kyswantoro Zulkifli, Lutfi