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All Journal Majalah Ilmiah UPI YPTK Jurnal Kecerdasan Buatan dan Teknologi Informasi
Adriyendi
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Industrial & Manufacturing Engineering Social Sciences

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Automasi Administrasi Digital dalam Peningkatan Pelayanan Nagari Ranah Pasisie Lita Sari Muchlis; Kasma Putra, Fitra; Rahmi, Lidya; Iswandi; Adriyendi; Afif, Zihnil; Sayuti, Alwi Farid
Majalah Ilmiah UPI YPTK Vol. 31 (2024) No. 1
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jmi.v30i2.168

Abstract

Information technology has developed into a necessity in various aspects, including the government. Proper use of technology will increase the efficiency and effectiveness of organizations, especially in public services. Currently, the Nagari Ranah Pasisie government is facing challenges in providing services to the community, especially in managing village data. This service research aims to assist village officials in using Microsoft Excel within digital administration systems. Microsoft Excel can help village administrators manage, store, and administer data. Participatory action research (PAR) divides this service research method into three stages: mapping, which includes the precondition stage and needs assessment through direct communication and focus group discussion (FGD); implementation, which includes the program planning and training implementation stages; and monitoring, which includes the evaluation and reflection stages. Village officials who are training participants receive questionnaires as part of the evaluation process. The questionnaire was calculated and analyzed using a Likert scale and scale range equations. The results of the questionnaire showed that the village officials gave a positive response to the implementation of service activities. However, there were still notes, such as the duration of training needing to be increased. The training will enable village officials to provide data management and administrative services more effectively and efficiently
INVENTORY FORECASTING INFORMATION SYSTEM USING THE WEIGHTED MOVING AVERAGE METHOD AT TITA'S STORE Amuharnis; Iswandi; Rahmi, Lidya; Adriyendi
Jurnal Kecerdasan Buatan dan Teknologi Informasi Vol. 5 No. 1 (2026): January 2026
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/jkbti.v5i1.419

Abstract

Inventory management is a crucial factor in retail operations as it influences cost efficiency, sales continuity, and customer satisfaction. In small-scale retail businesses, inventory planning is often performed manually, increasing the risk of overstock and stockout conditions. This study aims to develop a web-based inventory forecasting information system using the Weighted Moving Average (WMA) method to support effective inventory planning. The system integrates item data management, sales transaction recording, and demand forecasting within a single platform. The WMA method is applied to 12 months of historical monthly sales data using a three-period forecasting window with an optimized weight configuration of 5–1–7 to emphasize recent demand patterns. Forecasting accuracy is evaluated using Mean Absolute Deviation (MAD), Mean Squared Error (MSE), and Mean Absolute Percentage Error (MAPE). A case study conducted at Toko Tita shows that the WMA method outperforms the Simple Moving Average method by producing lower MAD and MAPE values, indicating better responsiveness to short-term demand fluctuations. The results demonstrate that the proposed system provides reliable quantitative information to support inventory procurement decisions, reduces manual calculation errors, and improves operational efficiency. Although forecasting errors increase during extreme demand changes, the system is practical and effective for daily inventory management in small retail businesses.
Co-Authors Amuharnis Iswandi Kasma Putra, Fitra Lita Sari Muchlis Muhammad Afif Rahmi, Lidya Sayuti, Alwi Farid