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All Journal Jurnal Mirai Management JSAI (Journal Scientific and Applied Informatics) Journal of Management and Business
Harsi Romli
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Religion Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering

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Pengaruh Harga, Fasilitas, Dan Intensitas Internet Terhadap Keputusan Pembelian Jasa Ojek Online Pada Saat Pandemi Covid-19 (Studi Kasus Konsumen Ojek Online di Kecamatan Talang Kelapa Kota Palembang) Moch Isyaraq Fathan; Harsi Romli; Aris Munandar
Jurnal Mirai Management Vol 8, No 3 (2023)
Publisher : STIE AMKOP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/mirai.v8i3.5725

Abstract

Penilitan ini bertujuan untuk mengetahui Pengaruh Harga, Fasilitas, dan Intensitas Internet terhadap Keputusan Pembelian Jasa Ojek Online. Penelitan ini dilakukan pada konsumen ojek online di Kecamatan Talang Kelapa kota Palembang, dengan populasi 145.290 jiwa. Jenis penelitian yang digunakan adalah penelitian kuantitatif dengan menyebarkan kuesioner melalui pamflet atau kuesioner yang langsung diberikan ke pada masyarakat, pengambilan sampel ini dengan menggunakan Teknik convenience sampling yaitu sebanyak 100 responden dari populasi. Metode regresi linear berganda yang didahului oleh uji F dan uji T serta analisis koefisien determinasi (R2). Hasil analisis data dengan bantuan statistical product and service solutions (SPSS) Versi 19 . Hasil penelitian ini menunjukkan bahwa variable Harga dan Intensitas Internet berpengaruh signifikan terhadap Keputusan Pembelian jasa ojek online sedangkan variable fasilitas tidak berpengaruh dan signifikan terhadap keputusan pembelian jasa ojek online. Kata Kunci: Harga, Fasilitas, Intensitas, Keputusan Pembelian Jasa Ojek Online
Pengaruh Penerapan Akuntansi, Pemahaman Perpajakan, dan Kesadaran Wajib Pajak terhadap Kepatuhan Wajib Pajak UMKM Berbasis Media Electronik: Studi Kasus di Kecamatan Alang-Alang Lebar Palembang Antika Ayu Anggraini; Harsi Romli; Vhika Meiriasari
ManBiz: Journal of Management and Business Vol 3 No 2 (2024): ManBiz: Journal of Management and Business (In Press)
Publisher : Institut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/manbiz.v3i2.7284

Abstract

This research aims to determine the influence of accounting implementation, understanding of taxation, and taxpayer awareness on electronic media-based MSME taxpayer compliance. This research was conducted in Alang-Alang Lebar District, Palembang, totaling 73 respondents. The type of research used is quantitative research by distributing questionnaires. Sampling used convenience sampling. The data source in this research is primary data based on the results of the t test showing that with a sig value that the Application of Accounting (X1), Understanding of Taxation (X2) and Taxpayer Awareness (X3), on Electronic Media Based MSME Taxpayer Compliance (Y) because t count > t table or 3.026 > 1.99394,1.534 < 1.99394 and 2.692 > 1.99394 with significant 0.003 < 0.05, 0.130 > 0.05 and 0.009 < 0.05 which means the Accounting Implementation variable has an influence and is significant on MSME Taxpayer Compliance Based on Electronic Media, Understanding of Taxation has no and no significant effect on Electronic Media Based MSME Taxpayer Compliance and Taxpayer Awareness has an influence and is significant on Electronic Media Based MSME Taxpayer Compliance. Then the results of the F test analysis show that the calculated F value > F table is 28.136 > 2.74 with a significant value of 0.00 < 0.05. This shows that the independent variables, namely Application of Accounting (X1), Understanding of Taxation (X2) and Taxpayer Awareness (X3) have a significant and influential effect on the dependent variable, namely Electronic Media-Based MSME Taxpayer Compliance (Y).
Optimasi Strategi Pemasaran E-Commerce Melalui Prediksi Konversi Berbasis Machine Learning Agustina Heryati; Terttiaavini, Terttiaavini; Septa Cahyani; K.Ghazali; Harsi Romli; Iski Zaliman
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 1 (2025): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i1.7553

Abstract

The research identifies the problem of enhancing e-commerce sales conversion through TikTok amidst intense content competition. The objective of the study is to develop a machine learning-based marketing strategy to analyze user behavior and categorize them into Non-Purchasers and Purchasers.The method employed includes clustering using K-Means, K-Medoids, and Fuzzy C-Means algorithms, with K-Means demonstrating the best performance, achieving the highest Silhouette Coefficient (0.1857) and the lowest Davies-Bouldin Index (1.9991). Following clustering, classification is performed using Naïve Bayes, Decision Tree, and Random Forest algorithms. The Random Forest model yields the best results with an accuracy of 0.9945, showcasing its effectiveness in predicting sales conversions.The conclusion of this study indicates that K-Means and Random Forest are the optimal methods for clustering and classification, respectively, in understanding user behavior on TikTok. These findings can assist e-commerce players in tailoring their marketing strategies, improving sales conversion rates, and enhancing advertising efficiency
Co-Authors Agustina Heryati Antika Ayu Anggraini Aris Munandar Iski Zaliman K.Ghazali Moch Isyaraq Fathan Septa Cahyani Terttiaavini, Terttiaavini Vhika Meiriasari