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All Journal INTECOMS: Journal of Information Technology and Computer Science West Science Business and Management West Science Social and Humanities Studies
Bagus Prabowo
Institut Teknologi Budi Utomo
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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The Influence of Posting Frequency, Content Quality, and Interaction with Customers on Social Media on Customer Loyalty in a Start-up Business Mufadhol Mufadhol; Fauzia Tutupoho; Deflin Tresye Nanulaita; Ann Z. de Bell; Bagus Prabowo
West Science Business and Management Vol. 2 No. 02 (2024): West Science Business and Management
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsbm.v2i02.966

Abstract

This research investigates the impact of posting frequency, content quality, and interaction with customers on social media on customer loyalty in start-up businesses. A quantitative approach is employed, with data collected from 190 start-up owners or marketing professionals responsible for managing social media accounts. Structural Equation Modeling with Partial Least Squares (SEM-PLS) is used for data analysis. The findings reveal significant positive relationships between posting frequency, content quality, interaction with customers, and customer loyalty. Content quality emerges as a strong predictor of customer loyalty, highlighting the importance of creating engaging and relevant content. Active interaction with customers on social media platforms also positively influences customer loyalty, fostering stronger relationships and brand advocacy. While posting frequency plays a role in maintaining brand visibility, the quality and relevance of content are found to be paramount. These findings have practical implications for start-up businesses seeking to enhance customer loyalty through effective social media engagement strategies.
The Effect of Utilizing AI Chatbot and Recommendation System on Customer Satisfaction and Retention in Local Marketplace in Bandung Johni Eka Putra; Bagus Prabowo
West Science Social and Humanities Studies Vol. 3 No. 01 (2025): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v3i01.1651

Abstract

This study investigates the impact of utilizing AI chatbot technology and recommendation systems on customer satisfaction and retention in a local marketplace in Bandung. A quantitative research design was employed, collecting data from 200 respondents using a structured questionnaire with a 5-point Likert scale. Data were analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS 3) to evaluate the relationships between variables. The findings reveal that both AI chatbots and recommendation systems significantly enhance customer satisfaction, with recommendation systems having a stronger influence. Customer satisfaction mediates the relationship between these technologies and customer retention, highlighting its critical role in fostering loyalty. The study provides actionable insights for local marketplaces to leverage AI tools, adapt to customer needs, and gain a competitive advantage. Future research should explore additional factors influencing retention and examine AI adoption in diverse market contexts.
EVALUASI STRATEGI MOVING AVERAGE, RELATIVE STRENGTH INDEX, DAN PARABOLIC SAR TERHADAP PERGERAKAN HARGA EUR/USD PADA PT ROYAL TRUST FUTURES Abdurrahman Abdurrahman; Sigit Wibisono; Bagus Prabowo; Aji Nurrohman; Irlon Irlon
INTECOMS: Journal of Information Technology and Computer Science Vol. 9 No. 2 (2026): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/nmen2h79

Abstract

Perdagangan valuta asing (forex) merupakan salah satu instrumen investasi yang memiliki risiko tinggi dan memerlukan analisis yang tepat dalam pengambilan keputusan. Salah satu pendekatan yang banyak digunakan adalah analisis teknikal dengan bantuan indikator teknikal. Penelitian ini bertujuan untuk mengevaluasi kinerja tiga indikator teknikal, yaitu Moving Average periode 5 (MA5), Relative Strength Index (RSI), dan Parabolic SAR dalam memberikan sinyal beli dan jual terhadap pasangan mata uang EUR/USD. Permasalahan dalam penelitian ini  adalah untuk mengetahui sejauh mana efektivitas masing-masing indikator dalam membaca pergerakan harga dan menghasilkan profit yang optimal. Data yang digunakan adalah data historis EUR/USD periode 2018–2025 yang diperoleh dari platform MetaTrader 4, dengan pendekatan metode CRISP-DM dan pengolahan data menggunakan bahasa pemrograman Python. Hasil evaluasi menunjukkan bahwa Parabolic SAR merupakan indikator paling unggul dengan win rate 76.84%, net return sebesar 65.43%, dan CAGR sebesar 7.46%. MA5 menunjukkan hasil moderat dengan win rate 36.55% dan net return 6.15%, sedangkan RSI menunjukkan performa terendah dengan hasil negatif. Penelitian ini memberikan gambaran mengenai efektivitas masing-masing indikator teknikal dan dapat menjadi referensi untuk pengambilan keputusan trading yang lebih tepat. Kata Kunci: Evaluasi indikator teknikal, MA5, RSI, Parabolic SAR, pergerakan harga EUR/USD
Co-Authors Abdurrahman Abdurrahman Aji Nurrohman Ann Z. de Bell Deflin Tresye Nanulaita Fauzia Tutupoho Irlon Irlon Johni Eka Putra Mufadhol Mufadhol Sigit Wibisono