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Determination Analysis of Leading Commodity in the Melonguane National Border Strategic Area (NBSA) Hanim, Wasifah; Prasca, Hafni Adinda; Pertiwi, Widhi Netraning; Yudawisastra, Helin Garlinia; Sugiartiningsih, Sugiartiningsih
Jurnal Economia Vol. 19 No. 1 (2023): April 2023
Publisher : Faculty of Economics and Business, Universitas Negeri Yogyakarta in collaboration with the Institute for

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/economia.v19i1.51388

Abstract

Border areas are the gateway for a country;generally, it is an underdeveloped area. This study aims to develop the economy based on only commodities in the National Strategic Activity Center (NSA) Melongguane, Kepulauan Talaud Regency, North Sulawesi Province. This study uses qualitative and quantitative approaches. The qualitative approach is based on the policy formulation of the North Sulawesi Provincial government and the Kepulauan Talaud Regency, namely the Regional Spatial Planning (RTRW) document. While the quantitative method with the Location Quotient  (LQ) analysis. Based on the North Sulawesi Provincial Spatial Planning (RTRW) document shows that the leading commodities at the Melongguane National Strategic Activity Center (NSA) are Nutmeg, Coconut, Clove, and Tuna-Skipjack-cob. The Location Quotient  (LQ) analysis shows that the sub-districts with potential nutmeg commodities are Kabaruan and Damau sub-districts. At the same time, the potential locations for developing Tuna-Skipjack-cob are Nanusa and Miangas Districts.
The Impact of Green Products on Sustainability Business with Green Marketing as a Moderating Variable in Restaurant in Badung Bali Yudawisastra, Helin Garlinia; Suwarna, Asep; Mansur, Daduk Merdika
International Journal of Business Studies Vol. 6 No. 3 (2022): International Journal of Business Studies
Publisher : Sekolah Tinggi Manajemen IPMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32924/ijbs.v6i3.242

Abstract

Topics on business sustainability and environmentally friendly products and ways to introduce issues have become much in demand by various levels of society. This research aims to see the effect of green products in influencing sustainability business through green marketing, where green marketing acts as a moderating variable. This analysis method is multivariate data analysis model analysis, including factor analysis and Partial Least Square (PLS). The research object is 350 restaurants in Badung with the criteria of environmentally friendly restaurants. The results show that green marketing does not moderate green products towards sustainability business. The study was conducted during the recovery period of the COVID-19 pandemic, where these results represent the condition of the culinary business at restaurants in Badung, especially restaurants affected by the pandemic conditions.
HOW BRAND IMAGE AND PERCIEVED PRICE AFFECTING CUSTOMERS’ BUYING DECISION : A PLS-SEM ANALYSIS Mardiana, Siti; Yudawisastra, Helin Garlinia; Amin, Neneng Nurbaeti; Rafli, Rizal
Jurnal Ilmiah Manajemen, Ekonomi, & Akuntansi (MEA) Vol 9 No 1 (2025): Edisi Januari - April 2025
Publisher : LPPM STIE Muhammadiah Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31955/mea.v9i1.4661

Abstract

The purpose of this study was to test the influence model of brand image perception and pricing policy perception on customer purchasing decisions. The brand used as the object of the study was Citra Body Lotion and the respondents were students because the Citra brand is associated with a group of young female customers. The research method used was a quantitative method with PLS-SEM analysis using the SmartPLS application. A total of 125 data from students were successfully collected. The results of the analysis showed that the measurements used in the questionnaire met all the requirements as a good measurement model. Meanwhile, the results of the model structure analysis showed an R2 value = 0.889, which means that 88.9% of the variance in the endogenous variables (Actual Buying Decision) can be substantially predicted by the exogenous variables (Brand Image and Pricing Policy). The Q2 value shows a figure of 0.347, which means that the exogenous variables in the model are able to predict endogenous variables with a moderate to high level of accuracy. Research limitations and implications are discussed in the discussion and conclusion sections.