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THE IMPACT OF RENEWABLE ENERGY, CARBON EMISSIONS AND LABOR FORCE ON ECONOMIC GROWTH OF DEVELOPING COUNTRIES IN ASIA Aprirachman, Rozzy; Purnama, Yuni; Saputra, Ariyo
Prosiding Seminar Nasional dan Call Paper STIE Widya Wiwaha Vol 4 No 1 (2025): International Seminar Proceedings and Call for Paper STIE Widya Wiwaha
Publisher : Sekolah Tinggi Ilmu Ekonomi Widya Wiwaha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32477/semnas.v4i1.1305

Abstract

This study aims to examine the long-term relationship and direction of causality between renewable energy, carbon emissions, and labor force on economic growth in 17 developing countries in Asia, with analysis years from 1990 to 2021. The main problem in this study is to identify the main factors, especially those related to environmental aspects such as renewable energy and carbon emissions, and classical economic factors, namely labor, which are thought to have a long-term impact on economic growth in developing countries in Asia. The purpose of this study is to examine the long-term relationship between variables and to see the direction of causality they have. The research method used is the Panel Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS). The results show that only carbon emission and labor force variables have a positive impact in the long run. Meanwhile, renewable energy has no long-term impact on economic growth. Then the direction of causality shows that carbon emission and labor force variables have a two-way causality on economic growth, while renewable energy only has one direction of causality. This study is expected to provide empirical evidence regarding the relationship between energy, the environment, and the economy in developing countries in Asia. The government hopes to accelerate the transition to renewable energy, thereby reducing carbon emissions in developing countries for sustainable economic development.
BBRI STOCK PRICE FORECASTING USING THE HOLT-WINTERS DOUBLE EXPONENTIAL SMOOTHING METHOD Maulida, Nur Ayya; Hasri, Diah Anggeraini; Aprirachman, Rozzy; Purnama, Yuni
Prosiding Seminar Nasional dan Call Paper STIE Widya Wiwaha Vol 4 No 1 (2025): International Seminar Proceedings and Call for Paper STIE Widya Wiwaha
Publisher : Sekolah Tinggi Ilmu Ekonomi Widya Wiwaha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32477/semnas.v4i1.1319

Abstract

The Holt-Winters Double Exponential Smoothing  method is a forecasting method that has two parameters, namely α and β. This method is used when the data shows a trend and seasonal pattern. This study applies this method to forecast BBRI's share price as part of a time series analysis. The dataset used is the adjusted close price  of BBRI shares. The results showed that the optimal forecasting model used α (alpha) of 0.4 and β (beta) of 0.1 with an estimated α smoothing parameter of 89.3348466 and β of -0.3743472. The model evaluation was assessed based on the measures of forecasting errors in the form of SMAPE and MAPE as the main error evaluation measurements and SSE, MSE, and RMSE as supporting error evaluation measurements.
QRIS in the NTB tourism industry: Unified Theory of Acceptance and Use of Technology (UTAUT) model Suwardi, Didi; Suharti; Aprirachman, Rozzy
Jurnal Pariwisata Pesona Vol. 10 No. 2 (2025): Edisi Desember 2025
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jpp.v10i2.15725

Abstract

Rapid technological growth has significant increased in Indonesia. This development has driven the expansion of internet-based innovations, particularly in the financial technology (fintech) sector, which promotes digital payment systems to enhance efficiency, accessibility, and convenience. This study aims to examine the factors influencing the adoption and use of the Quick Response Code Indonesian Standard (QRIS) among tourism industry players in Nusa Tenggara Barat (NTB), as well as to formulate effective strategies to enhance its utilization. This study using quantitative methods, focus on statistical analysis to determine the correlation between various factors and QRIS adoption rates among tourism industry stakeholders in NTB. The quantitative analysis utilized Structural Equation Modeling (SEM) based on the Unified Theory of Acceptance and Use of Technology (UTAUT) framework, which comprises six key constructs including Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Behavioral Intention, and Use Behavior. Data were collected from 101 respondents selected through proportionate random sampling, representing various sectors of the tourism industry, including travel agencies, hotels, restaurants, bars, spas, and diving operators. The empirical results demonstrate that Behavioral Intention has a significant positive effect on Use Behavior These findings indicate that perceptions of usefulness, ease of use, and supporting conditions are the primary determinants of QRIS adoption, whereas social factors have limited influence in this context. Based on the findings, several strategic recommendations are proposed to enhance QRIS adoption among NTB tourism industry players, including strengthening awareness and user education, improving infrastructure and technical support, fostering institutional partnerships, and providing targeted incentives to encourage sustained utilization.