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All Journal Jurnal Teknik Informatika (JUTIF) Jurnal Pelayanan Masyarakat
Farrikh Al Zami
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Agriculture, Biological Sciences & Forestry Computer Science & IT Economics, Econometrics & Finance Education Engineering Law, Crime, Criminology & Criminal Justice

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Pemberdayaan Pelaku UMKM Oleh-Oleh Solo Raya Melalui Pelatihan Digital Marketing Febrianur I. F. S. Putra; Awanis L. Haziroh; Diana Aqmala; Farrikh Al Zami; Ifan Rizqa; Abu Salam; Erin Kristina
Jurnal Pelayanan Masyarakat Vol. 1 No. 4 (2024): Jurnal Pelayanan Masyarakat
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/jpm.v1i4.904

Abstract

The Internet advancement in Indonesia has created significant opportunities for digital business, particularly in marketing. Digital marketing encompasses promoting products and services through online platforms, such as social media, which facilitate connections among individuals globally. Micro, Small, and Medium Enterprises (MSMEs) are anticipated to play a crucial role in bolstering economic growth, especially within the food and beverage sector, alleviating unemployment. Despite many MSMEs needing to leverage social media entirely, they are progressively adapting their promotional strategies and discount offerings in response to the challenges posed by the COVID-19 pandemic. This community service initiative employs digital marketing as a strategic approach to facilitate market penetration for MSMEs in the culinary field, thereby enhancing sales. It is anticipated that this initiative will address the difficulties encountered by culinary partners, particularly the lack of marketing innovation due to inadequate skills in managing social media marketing. Furthermore, the pursuit of business volume targets is complicated by escalating competition within the culinary sector. The proposed short-term solutions include promoting the use of social media for product marketing and encouraging product innovation.
OPTIMIZING RAW MATERIAL INVENTORY MANAGEMENT OF MSME PRODUCT USING EXTREME GRADIENT BOOSTING (XGBOOST) REGRESSOR ALGORITHM: A SALES PREDICTION APPROACH Muhammad Khusni Fikri; Farrikh Al Zami; Ika Novita Dewi; Abu Salam; Ifan Rizqa; Mila Sartika; Diana Aqmala
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 2 (2024): JUTIF Volume 5, Number 2, April 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.2.1487

Abstract

Micro, Small and Medium Enterprises or MSMEs have a very important role for the survival of the economic sector in Indonesia. However, as the development of MSMEs, followed by a series of problems that arise. One of them is the problem of sales, business people have difficulty in determining the number of product sales in the future so that there is often an accumulation of raw materials or unsold products. This study aims to help MSMEs optimize raw material management by predicting product sales using the XGBoost Regressor Algorithm. Recently, the algorithm is very famous in the competition because of its reliability and no one has applied it to predict MSME product sales. Based on several other studies, this algorithm is accurate in predicting a value, such as predicting stock prices and the number of accidents in Bali, Indonesia. This research uses historical product sales data and weather data consisting of air temperature and relative humidity in Semarang Indonesia to train and evaluate the performance of the model. The prediction model was performed with predetermined variables and resulted in MAE 3.0752730568649156, MSE 38.25842541629838, and RMSE 6.185339555456788. In the end, it is concluded that the model built with XGBoost Regressor has a low error rate so that it can accurately predict the sales of an MSME product and optimize the management of raw materials for related products.
Co-Authors Abu Salam Awanis L. Haziroh Diana Aqmala Erin Kristina Febrianur Ibnu Fitroh Sukono Putra Ifan Rizqa Ika Novita Dewi Mila Sartika Muhammad Khusni Fikri