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All Journal Prosiding University Research Colloquium Jurnal Bisnis Digital dan Sistem Informasi
Milad Naufal Akbar
Universitas Muhammadiyah Kudus
Humanities Computer Science & IT Economics, Econometrics & Finance Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology

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Analysis of E-Service Quality, Trust, and E-Customer Satisfaction on Lazada during the COVID-19 pandemic Muhammad Adhitya Wardhana; Nur Hayati; Milad Naufal Akbar
Prosiding University Research Colloquium Proceeding of The 14th University Research Colloquium 2021: Bidang Ekonomi dan Bisnis
Publisher : Konsorsium Lembaga Penelitian dan Pengabdian kepada Masyarakat Perguruan Tinggi Muhammadiyah 'Aisyiyah (PTMA) Koordinator Wilayah Jawa Tengah - DIY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (644.476 KB)

Abstract

Adanya pandemic COVID-19 yang muncul membuat sector perekonomian menjadi terkena dampaknya, terutama pada sector pasar dan minimarket semenjak diberlakukannya untuk menjalankan protocol Kesehatan. Sector E-Commerce dalam menggenjot pertumbuhan ekonomi ditengah pandemic menjadi solusi yang tepat, terutama E-commerce Lazada yang merupakan salah satu E-commerce terbesar di Indonesia. Adapun dilakukannya penelitian ini di Lazada adalah untuk mengetahui sejauh mana hubungan Kualitas layanan elektronik, Kepercayaan dan Kepuasan konsumen elektronik bekerja, terutama selama pandemic COVID-19 ini. Kemudian untuk jenis metode penelitiannya adalah metode kuantitatif dengan menyebarkan online kuisioner. Hasil penelitian menunjukkan adanya pengaruh positif signifikan antara Kualitas layanan elektronik dengan Kepuasan konsumen elektronik, Kualitas layanan elektronik dengan Kepercayaan dan Kepercayaan dengan Kepuasan Konsumen elektronik. Dengan demikian antara variable yang diteliti memiliki pengaruh positif yang signifikan.
IMPLEMENTASI METODE SIMPLE MOVING AVERAGE (SMA) MENGGUNAKAN PYTHON UNTUK PERAMALAN STOK OLI AHM Herri Wijaya; Milad Naufal akbar; Fifi Endah Irawati
JURNAL BISNIS DIGITAL DAN SISTEM INFORMASI Vol 6, No 1 (2025): JURNAL BISNIS DIGITAL DAN SISTEM INFORMASI
Publisher : Universitas Muhammadiyah Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26751/bidisfo.v6i1.3003

Abstract

Inefficient inventory management at Toko Mojo Pahit Motor frequently leads to overstocking and stockouts of AHM oil products, a challenge compounded by steadily increasing sales. This study aims to implement the Simple Moving Average forecasting method using Python to predict sales and provide data-driven recommendations for inventory optimization. The research employed a quantitative approach with a case study design, analyzing monthly sales data from 2021 to 2024. The Simple Moving Average method was tested with various time periods and evaluated using Mean Absolute Error to identify the most accurate model. The results indicated that the three-month period model achieved the highest accuracy, yielding a Mean Absolute Error of 18.52. Based on the forecasts from this model, a re-order point of 42 units is recommended, providing a quantitative basis for procurement decisions. The primary limitation of this method is its inability to directly respond to external factors. It is concluded that implementing the Simple Moving Average method with Python offers an effective and practical solution for Toko Mojo Pahit Motor. It is recommended that the store regularly updates its forecasts to maintain accuracy.
Co-Authors Fifi Endah Irawati Herri Wijaya Muhammad Adhitya Wardhana Nur Hayati