Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Journal of Community Development Advance Sustainable Science, Engineering and Technology (ASSET)
Dian Kartika Sari
Politeknik Negeri Jember
Chemistry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering Nursing Public Health Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Implementation Artificial Intelligence with Natural Language Processing Method to Improve Performance of Digital Product Sales Service Putri Ariatna Alia; Dian Kartika Sari; Nur Azis; Bernadus Gunawan Sudarsono; Purwo Agus Sucipto
Advance Sustainable Science Engineering and Technology Vol. 6 No. 3 (2024): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i3.521

Abstract

Improving the performance of digital product sales services is the main focus of the company's attention in the face of increasingly fierce competition in the online market. In order to optimize these services, Artificial Intelligence (AI) technology with the Natural Language Processing (NLP) method is an attractive option. This research aims to find out how the application of AI with Natural Language Processing (NLP) can contribute to improving the performance of digital product sales services. The methods used in this research include collecting data on customer interactions via WhatsApp that have implemented artificial intelligence with the Natural Language Processing (NLP) method. The data is then analyzed using Natural Language Processing (NLP) techniques to understand the needs, preferences, and problems faced by customers. Natural Language Processing (NLP) assists the chatbot in correcting incoming questions if they do not match the database on the question. Differences that can be helped by Natural Language Processing (NLP) if there is inappropriate capitalization, excessive conjunctions. The results show that the application of AI with Natural Language Processing (NLP), can enable companies to be more responsive to customer needs and improve overall customer satisfaction. With in-depth analysis of customers' natural language data, companies can provide more relevant services and empower sales teams to provide faster and more accurate responses. This can be seen from the quality of service results which have a point of 4.1, this value indicates a good response from customers so that the system is considered to have improved sales services by buyers.
Peningkatan Kesadaran Masyarakat Tentang Anemia dan Pencegahan Stunting di Masa Depan Melalui Aplikasi Anemiago Sabran Sabran; Dian Kartika Sari; Malinda Capri Nurul Satya
Journal of Community Development Vol. 5 No. 3 (2025): April
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/comdev.v5i3.1386

Abstract

Anemia is a condition where the level of HB or hemoglobin in the blood is less than the normal standard. Based on the 2018 Riskesdas data, the prevalence of anemia in women aged ≥15 years (adolescent girls) was 41.6% while the prevalence of anemia in pregnant women was 48.9%. This figure has increased from 31% in 2013. Adolescent girls who suffer from anemia are at risk of anemia during pregnancy which will potentially increase stunting rates. The impact of anemia on adolescent girls is stunted growth, easily infected, decreased academic achievement, becoming a high-risk prospective mother for pregnancy and childbirth. Anemia that occurs in women of childbearing age is a challenge in the field of reproductive health nutrition. With the development of technology in this day and age, it is certainly unfortunate if it is not used to provide positive values to the community. Therefore, the development of the AnemiaGo application for early detection of anemia is very important. This is done to increase public awareness about anemia and reduce the incidence of anemia early. The method used in this community service is planning and implementing activities consisting of introductions, counseling by providing education and training, giving Blood Additive Tablets (TTD) and assessing by giving pretest and posttest questionnaires. The results obtained from this activity are an increase in knowledge and attitudes in adolescents and WUS.
Co-Authors Bernadus Gunawan Sudarsono Nur Azis Purwo Agus Sucipto Putri Ariatna Alia Sabran Sabran Satya, Malinda Capri Nurul