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Web-Based Car Sales Prediction System Using the ARIMA (Autoregressive Integrated Moving Average) Model for Optimizing Automotive Marketing Strategies Kurnia, Yusuf; Yakub; Rudy Arijanto; Winson Layanda; Dwi Putra, Dicky Surya
RUBINSTEIN Vol. 4 No. 1 (2025): RUBINSTEIN (juRnal mUltidisiplin BIsNis Sains TEknologI & humaNiora)
Publisher : LP3kM Buddhi Dharma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/rubin.v4i1.4039

Abstract

This study aims to develop a web-based car sales prediction system using the ARIMA (Autoregressive Integrated Moving Average) model to support the optimization of marketing strategies in the automotive sector. With the rapid growth of the automotive industry in Indonesia, companies, particularly car showrooms, face the challenge of accurately forecasting vehicle demand. Therefore, an ARIMA-based prediction system can assist in estimating future sales based on historical data, thereby improving stock management, distribution, and marketing strategies. The system was developed using five years of historical sales data and implemented the ARIMA model to forecast car sales for upcoming periods. It was built with the Python programming language, employing Flask for the backend and HTML, CSS, and JavaScript for the frontend. The prediction results are presented in the form of interactive graphs, enabling users to make data-driven decisions more effectively. System evaluation was carried out by measuring prediction accuracy using MAPE (Mean Absolute Percentage Error) and RMSE (Root Mean Square Error) metrics. The testing results indicate that the ARIMA model can generate predictions with a high level of accuracy, assisting showrooms in planning stock and promotional activities more efficiently. Furthermore, the system is equipped with a responsive user interface, making it easily accessible via mobile devices. This research contributes to the utilization of technology in sales planning, particularly in the automotive sector, by enabling more precise, efficient, and data-driven decision-making.
Dinamika Lembaga Dakwah sebagai Fenomena Sosial Keagamaan: Krisis Identitas, Konflik Organisasi, dan Transformasi Kepemimpinan shofam amim mujadid; siti hayati nufus; Muhammad Firdaus; Yakub
Jurnal Penelitian Agama Vol. 27 No. 1 (2026)
Publisher : LPPM UIN Saizu Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24090/jpa.v27i1.2026.pp201-217

Abstract

Penelitian ini bertujuan untuk menganalisis dinamika lembaga dakwah sebagai fenomena sosial keagamaan dalam masyarakat modern, yang mencakup krisis identitas organisasi, konflik internal, serta transformasi kepemimpinan. Pendekatan yang digunakan adalah kualitatif deskriptif dengan metode studi pustaka (library research) melalui pengumpulan dan analisis berbagai literatur ilmiah yang relevan. Hasil penelitian menunjukkan bahwa lembaga dakwah menghadapi krisis identitas akibat ketegangan antara idealisme nilai-nilai spiritual dengan tuntutan pragmatis organisasi. Selain itu, konflik internal yang muncul akibat perbedaan ideologi, strategi dakwah, serta dualisme kepemimpinan berpotensi menimbulkan fragmentasi organisasi apabila tidak dikelola secara konstruktif. Di sisi lain, terjadi transformasi kepemimpinan dari model karismatik menuju kepemimpinan kolektif dan profesional sebagai bentuk adaptasi terhadap perubahan sosial dan perkembangan teknologi. Transformasi ini menegaskan bahwa keberlanjutan lembaga dakwah tidak hanya bergantung pada figur pemimpin, tetapi juga pada sistem kelembagaan yang terstruktur, profesional, dan adaptif. Dengan demikian, lembaga dakwah perlu mengintegrasikan nilai-nilai religius dengan prinsip manajemen modern agar tetap relevan dan berdaya saing di era globalisasi.