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All Journal Jurnal ULTIMA InfoSys Journal of Information Systems and Informatics Indonesian Journal of Community Empowerment JAKBS
Aulia, Azka
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Social Sciences Other

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Application of Clustering-Based Data Mining for the Assessment of Nutritional Status in Toddlers at Community Health Centers Fianty, Melissa Indah; Johan, Monika Evelin; Aulia, Azka; Veronica, Mella Margareta
Journal of Information System and Informatics Vol 5 No 4 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i4.586

Abstract

Nutritional status is a crucial foundation for human health and development. Global facts indicate serious challenges in ensuring adequate nutrition, and the situation is no different in Indonesia. This research collected data from the Kelapa Dua Tangerang community health center and utilized data mining techniques with the k-means clustering algorithm to delve deeper into the nutritional status of toddlers. The research findings revealed that nearly 37.3% of toddlers experience issues with abnormal height or weight, as well as poor nutritional conditions, highlighting the importance of careful and timely intervention. With regular health monitoring by community health centers and active parental involvement, actions can be taken to support the optimal growth and development of these children. The results of this research provide a strong understanding to address malnutrition issues, which will ultimately support the formation of a healthier and more promising future generation in Indonesia.
Workshop on Utilizing AI-Based Natural Language Processing (NLP) for Language Error Pattern Analysis and Improving the Quality of Students' Academic Writing Nurwahidah, Lina Siti; Sela, Ai; Ambarwati, Ambarwati; Lestari, Anggia Septin Dwi; Nisa, Annida Firdaus; Aulia, Azka; Kurniawan, Erik
Indonesian Journal of Community Empowerment (IJCE) Vol 6 No 2 (2025): Indonesian Journal of Community Empowerment (May)
Publisher : Fakultas Kewirausahaan Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35899/ijce.v6i2.1052

Abstract

The use of AI-based tools in learning has been demonstrated by numerous studies, demonstrating that this technology can improve students' writing skills. This training is designed to provide a comprehensive understanding of the technical and theoretical aspects of using NLP technology in the context of language education. The application of NLP tools helps students identify and correct common language errors in academic writing, such as grammatical and spelling errors. Participants conducted text analysis of academic texts they had written before and after the training. Using NLP tools, they were able to identify errors and areas for improvement. The analysis results showed a significant reduction in error frequency after applying the techniques taught during the workshop. This training has positively contributed to students' academic writing skills, providing them with new skills and increasing their motivation to learn.
Analisis Pelaksanaan Prosedur Audit atas Persediaan dalam Upaya Menilai Kewajaran Laporan Keuangan Klien (Studi pada KAP X) Sonjaya, Aulia Puteri; Anggraeni, Ela; Sitorus, Sintauli; Aulia, Azka; Merdekawati, Eka
Jurnal Akuntansi Keuangan dan Bisnis Vol. 3 No. 3 (2025): Oktober - Desember
Publisher : CV. ITTC INDONESIA

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Abstract

This study aims to evaluate the implementation of audit procedures on inventory accounts at KAP X and assess their compliance with the relevant Auditing Standards (SA), particularly SA 315, SA 330, and SA 501. Inventory is an account with a high risk of misstatement, requiring adequate audit procedures to ensure its existence, valuation, and completeness. The study employs a qualitative case study approach through interviews, observations, and review of audit documentation. The results indicate that most of the audit procedures performed by KAP X are in accordance with the Standards, especially in terms of physical inventory inspection, reconciliation of inventory records, evaluation of valuation methods, and assessment of the client’s internal controls. However, several challenges were identified, such as limited supporting documents for inventory movements, suboptimal timing of stock-taking, and audit documentation that has not fully complied with SA 230. Overall, the audit procedures are considered adequate to provide reasonable assurance regarding the fairness of the inventory balance, although improvements are still needed in the areas of audit evidence and documentation consistency.
Unlocking Sales Insight through Business Intelligence and ERP Aulia, Azka; Desanti, Ririn Ikana; Amri, Mahfudz
ULTIMA InfoSys Vol 16 No 2 (2025): Ultima InfoSys : Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v16i2.4275

Abstract

In recent years, companies have experienced growing competition, financial inefficiencies, and operational instability, which have contributed to declining profitability. Digital transformation is found to increase operational efficiency while minimizing risk of insolvency. PT Dwi Family Investama, an offset and printing company, experiences similar problems from its manual record of orders and invoices, which causes decreased efficiency, errors, and complicated handling of customer information. Such inefficiencies slow down business strategy formulation and decision-making. This research designs a web-based Enterprise Resource Planning (ERP) system integrated with business intelligence dashboard to facilitate better decision-making. The system automates business processes and delivers real-time operational insights through an interactive dashboard. Performance assessments record an increase in operational efficiency by 52.3%, proving the system’s effectiveness in improving business operations and decision-making.
Co-Authors Ambarwati Amri, Mahfudz Anggraeni, Ela Erik Kurniawan, Erik Fianty, Melissa Indah Johan, Monika Evelin Lestari, Anggia Septin Dwi Lina Siti Nurwahidah Merdekawati, Eka Nisa, Annida Firdaus Ririn Ikana Desanti Sela, Ai Sitorus, Sintauli Sonjaya, Aulia Puteri Veronica, Mella Margareta