Article Per Year (5 Year)
p-Index From 2020 - 2025
0.983
P-Index
This Author published in this journals
All Journal Journal of Sustainable Tourism and Entrepreneurship Jurnal Dialektika Informatika (Detika) Eduvest - Journal of Universal Studies Jurnal Indonesia : Manajemen Informatika dan Komunikasi Data : Journal of Information Systems and Management
Akbariani, Nurhaliza Vania
Unknown Affiliation
Aerospace Engineering Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Health Professions Languange, Linguistic, Communication & Media Library & Information Science Neuroscience Social Sciences

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
PENGEMBANGAN WEBSITE KONSULTASI KESEHATAN KULIT ONLINE DAN PRODUK SKINCARE DENGAN STANDAR BPOM Panggraita, Vina; Rahmadilla, Jelita; Akbariani, Nurhaliza Vania; Fahrizal, Raihan Ahmad; Himawan, Rantau; Darma, Ade
Jurnal Dialektika Informatika (Detika) Vol 4, No 2 (2024): Jurnal Dialektika Informatika(Detika) Vol.4 No.2 Mei 2024
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/detika.v4i2.11890

Abstract

Dalam era digital ini, perawatan kulit menjadi aspek penting dalam gaya hidup sehari-hari. Pengguna semakin menyadari pentingnya menggunakan produk skincare yang aman dan sesuai dengan kebutuhan kulit mereka. Pengembangan aplikasi website skincare dengan standar Badan Pengawas Obat dan Makanan (BPOM) dan layanan konsultasi kesehatan kulit online menjadi solusi inovatif. Layanan Konsultasi penting bagi pengguna yang sudah menggunakan skincare yang tidak cocok dengan kulit mereka, sehingga pengguna dapat berkonsultasi dengan ahli dermatologi, melalui platform ini pengguna mendapatkan saran yang personal dan sesuai dengan kondisi kulit mereka oleh dokter ahli dermatologi. Sistem ini kami buat menggunakan bahasa pemrograman Reactjs, Css, dan Database menggunakan MySQL. Oleh karena itu Konsultasi Kesehatan Kulit merupakan fitur rekomendasi untuk kulit wajah agar memudahkan pengguna berkonsultasi dengan dokter ahli dermatologi mengenai perawatan kulit wajah lebih mudah dan sesuai kebutuhan kulit masing-masing, pengguna juga dapat melihat berbagai informasi mengenai jenis perawatan kulit dan berbagai produk-produk yang sudah disediakan. Konsultasi kesehatan kulit dapat dilakukan kapanpun dimanapun melalui online.
CLASSIFYING VILLAGE FUND IN WEST JAVA, INDONESIA USING CATBOOST ALGORITHM Harriz, Muhammad Alfathan; Akbariani, Nurhaliza Vania; Setiyowati, Harlis; Santoso, Handri
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 2 (2023): Mei
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i2.269

Abstract

With over 261 million inhabitants, Indonesia is home to approximately 15,000 villages, according to the Ministry of Villages, Disadvantaged Regions, and Transmigration. Among these, 1,406 are in West Java. Of these, 504 of them are advanced, 464 are developing, 390 are disadvantaged, and 48 are very disadvantaged. The CatBoost machine learning model was used to classify village funds in West Java from 2018 to 2021 and had an accuracy rating of 75%, precision rating of 79%, recall of 79%, and f1 score of 79%, demonstrating its excellent performance. However, missing data points had to be removed from the analysis and it is suggested that a more sophisticated method for handling missing values should be used in future studies. In addition, hyperparameter tuning could be employed to increase the model's performance, and a variety of metrics could be used to accurately assess the results. Overall, CatBoost may be of benefit to the Indonesian Government in order to classify village funds according to their status, channel funds more accurately and efficiently, and observe the situation of a village year-over-year.
Mapping and rebranding ornamental fish farming in Depok, West Java, contributions to the SDGs Harriz, Muhammad Alfathan; Setiyowati, Harlis; Akbariani, Nurhaliza Vania
Journal of Sustainable Tourism and Entrepreneurship Vol. 6 No. 2 (2025): January
Publisher : Goodwood Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/joste.v6i2.2300

Abstract

Purpose: This study aims to identify and prioritize effective rebranding strategies for the ornamental fish farming industry in Depok, West Java, using the Analytic Hierarchy Process (AHP) to address challenges such as limited market access, environmental sustainability issues, and economic feasibility concerns while aligning with Sustainable Development Goals (SDGs). Research Methodology: The research employs a mixed-method approach, combining qualitative research through in-depth interviews with key stakeholders and quantitative analysis using the AHP to systematically evaluate and prioritize rebranding strategies based on multiple criteria. Results: The study identified market access as the most critical criterion, followed by environmental sustainability and economic feasibility, with digital marketing emerging as the most effective rebranding strategy, scoring 0.67, followed by sustainability certification (0.22) and community outreach programs (0.11). Limitations: The research is limited by a small sample size, potentially affecting result generalizability. The AHP methodology introduces possible subjective biases through pairwise comparisons. The study's regional specificity may constrain broader applicability. Furthermore, the emphasis on rebranding strategies may not encompass all potential solutions to industry challenges. Contribution: This research provides actionable insights for stakeholders in the ornamental fish farming industry to implement sustainable development strategies, aligning with SDGs 1, 8, and 14. It offers a systematic approach to decision-making through the application of AHP. Novelty: This study innovatively applies the AHP to rebranding strategies in ornamental fish farming, uniquely integrating sustainable development principles with quantitative decision-making. This approach offers a new paradigm for strategic planning in aquaculture, contrasting with traditional qualitative methods in the field.
The Role of Artificial Intelligence in Optimizing Scholarship Programs: Implications for Indonesia's Educational Development Prasetyo, Muhammad Teguh; Dazk, Erick; Akbariani, Nurhaliza Vania; Harriz, Muhammad Alfathan; Setiyowati, Harlis
Eduvest - Journal of Universal Studies Vol. 5 No. 4 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i4.44753

Abstract

This study explores the potential of Artificial Intelligence (AI) in optimizing scholarship allocation processes within Indonesia's higher education system. The research highlights the challenges faced in the traditional scholarship distribution methods, including inefficiencies and biases, which hinder equitable access to educational opportunities for underprivileged students. By employing a systematic literature review (SLR) using the PRISMA methodology, the study investigates various AI techniques, including K-Nearest Neighbors, Naive Bayes, Decision Trees, and Fuzzy Logic, to improve the accuracy and efficiency of scholarship selection. The findings demonstrate that AI-driven approaches can enhance transparency, fairness, and resource allocation, aligning with the Sustainable Development Goals (SDGs), particularly SDG 4 (Quality Education) and SDG 10 (Reduced Inequalities). The integration of AI can help optimize government programs like KIP Kuliah, ensuring that scholarships are awarded to the most deserving candidates. However, challenges such as improving data quality, model selection, and ensuring fairness and transparency in decision-making remain. Future research should focus on addressing these challenges, exploring more advanced AI techniques, and assessing the long-term impact of AI-driven scholarship allocation on educational outcomes and social mobility in Indonesia.
Digital Meets Distribution: Quantifying the Impact of Logistics Integration in Emerging Market Omnichannel Retail Akbariani, Nurhaliza Vania; Setiyowati, Harlis
Data : Journal of Information Systems and Management Vol. 2 No. 4 (2024): October 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v2i4.920

Abstract

This study examines the impact of omnichannel logistics integration on retail service level performance in Indonesia between 2020 and 2024. Amidst rapid digital transformation in Southeast Asia, major Indonesian retailers such as AMRT, MIDI, MAPI, and LPPF have implemented innovations including store hubs, click-and-collect, and Pay & Pick services to meet evolving consumer expectations. Using firm-level quarterly panel data and employing fixed effects and event study models, the study analyzes how omnichannel logistics adoption represented by infrastructure investments and digital feature rollout affects service-level indicators such as inventory turnover, fill rate, and on-time delivery. The findings indicate that logistics integration significantly improves service metrics, with firms observing a 4–6% improvement in performance indicators within two quarters of implementation. This underscores the strategic value of aligning digital and physical infrastructure in emerging markets, offering evidence that logistics integration enhances both operational efficiency and service quality. The study contributes to both theoretical literature and practical retail strategies by framing omnichannel performance through a quantitative, data-driven lens.
Co-Authors Darma, Ade Dazk, Erick Fahrizal, Raihan Ahmad Harlis Setiyowati Himawan, Rantau Muhammad Alfathan Harriz Panggraita, Vina Rahmadilla, Jelita Santoso, Handri Sembiring, Rinawati