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Increasing Tourist Visits Through Ecotourism Elements, Electronic Word of Mouth and Destination Image Yolanda, Dian Rani; Susdiani, Laela
Jurnal Ilmiah Poli Bisnis Vol 15 No 2 (2023): Volume 15 Nomor 2
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/jipb.v15i2.1197

Abstract

This study aims to examine the effect of ecotourism elements, electronic word of mouth and destination image on visit decisions. This study is an explanatory research with quantitative methods. The object of this study is the Harau Valley Area, Lima Puluh Kota Regency in West Sumatra. The non-probability sampling method with purposive sampling was used to determine the sample for this research. The sample of this study were respondents aged more than 18 years who had visited and accessed information related to the Harau Valley tourist attraction through the website and various existing social media sites such as Facebook, Instagram, and others. This research utilizes primary data obtained through field research by distributing questionnaires directly to 170 visitors in the Harau Valley Tourism Area. Multiple linear regression were used as the test tools for this study. The data was processed using the SPSS program.The results show that there are significant influence between ecotourism elements, electronic word of mouth and destination image on visit decision.
PENGARUH ARTIFICIAL INTELLIGENCE DAN EFISIENSI OPERASIONAL TERHADAP KINERJA KEUANGAN DENGAN SUSTAINABILTY SEBAGAI VARIABEL MODERASI (STUDI PADA PERUSAHAAN SEKTOR PERBANKAN LQ45 BURSA EFEK INDONESIA PERIODE 2019-2024) Tendean, Rotania Sonya; Susdiani, Laela
JAMBURA: Jurnal Ilmiah Manajemen dan Bisnis Vol 9, No 1 (2026): JIMB - VOLUME 9 NOMOR 1 MEI 2026
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37479/jimb.v9i1.38805

Abstract

Hasil penelitian menunjukkan bahwa Artificial Intelligence (AI) berpengaruh positif namun tidak signifikan terhadap ROA, sedangkan efisiensi operasional (BOPO) berpengaruh negatif dan tidak signifikan terhadap ROA. Selain itu, sustainability tidak mampu memoderasi pengaruh Artificial Intelligence (AI) dan BOPO terhadap ROA secara signifikan. Temuan ini mengindikasikan bahwa dampak penerapan Artificial Intelligence (AI), efisiensi operasional, dan pengungkapan sustainability terhadap ROA cenderung bersifat jangka panjang. Penelitian ini memberikan kontribusi empiris terkait peran Artificial Intelligence (AI) dan sustainability dalam industri perbankan Indonesia, khususnya pada bank berindeks LQ45 yang masih relatif terbatas diteliti.