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All Journal Jurnal Komputer Indonesia Jurnal Pengabdian Mandiri
Tutut Dwinka Utari
Universitas Dehasen Bengkulu
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Law, Crime, Criminology & Criminal Justice Social Sciences

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Community Empowerment Of RT 21, Sawah Lebar Baru Subdistrict Through Digital Literacy Training To Support Digital Transformation Delon Hadi Winata; Bima Trisentyia; Iluh Frensia Paramita; Tiara Pia; Tutut Dwinka Utari; Dimas Aulia Trianggana
Jurnal Pengabdian Mandiri Vol. 3 No. 1 (2026): Juni
Publisher : Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/mandiri.v3i1.1231

Abstract

This study examines the implementation of a digital literacy training program for the community of RT 21, Sawah Lebar Baru Village, as an effort to enhance residents’ digital competencies in supporting digital transformation. The study aims to evaluate the program’s implementation, community participation, and its impact on improving participants’ digital literacy. A descriptive qualitative approach was used through interviews, observations, and documentation involving more than 60 participants per day who attended the training. The findings show that the six-day program received positive responses from the community, with an attendance rate of 88%. Training materials such as the use of digital devices, digital security, online communication, and the utilization of public service applications contributed to improving participants’ digital skills. Residents demonstrated increased understanding of basic technology use and the ability to independently access digital-based services. The study concludes that the program has been effective in enhancing digital literacy and technological awareness within the community, although challenges such as limited devices and variations in training materials need to be addressed to ensure its sustainability.
Forecasting Drug Inventory Using the SARIMA Method Based on Sales Data at DMA Medika Pharmacy Tutut Dwinka Utari; Siswanto Siswanto; Ila Yati Beti
Jurnal Komputer Indonesia Vol. 5 No. 3 (2026): September
Publisher : Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jki.v5i3.1891

Abstract

DMA Medika Pharmacy faces challenges in managing its drug inventory due to unstable fluctuations in sales, which tend to increase at the beginning of each month and after Eid al-Fitr. Consequently, inventory planning is still based on estimates without optimally utilizing historical data analysis. This study aims to develop a web-based drug inventory forecasting system and implement the Seasonal Autoregressive Integrated Moving Average (SARIMA) method to predict drug inventory requirements based on sales data. This study used a quantitative approach using the Data Analytics Research Method and the Cross-Industry Standard Process for Data Mining (CRISP-DM) development model. The data consisted of historical sales records for 61 types of drugs from January to December 2025, which were processed using the Python programming language. The results showed that the system successfully processed historical data, developed SARIMA models, and generated drug sales forecasts for the period from January to June 2026, presented in the form of tables and graphs, with model performance evaluated using Mean Absolute Error (MAE) and Mean Absolute Percentage Error (MAPE). Evaluation of the 61 types of drugs using MAE and MAPE resulted in an average MAE value of 80.0638 and an average MAPE value of 488.11%, with 24 types of drugs classified in the moderate category and 37 types classified in the poor category. For Actifed Hijau, the evaluation produced an MAE value of 2.2644 and a MAPE value of 60.81%, which was classified in the poor category. These results indicate that the implementation of SARIMA has not yet produced optimal forecasting performance because the historical data used covered only a 12-month period. Nevertheless, the developed system can serve as supporting information to assist the drug inventory planning and management process at DMA Medika Pharmacy.
Co-Authors Bima Trisentyia Delon Hadi Winata Dimas Aulia Trianggana Ila Yati Beti Iluh Frensia Paramita Siswanto Siswanto Tiara Pia