Devi Fitrianah

545 total citations
60 papers, 322 citations indexed

About

Devi Fitrianah is a scholar working on Information Systems, Artificial Intelligence and Global and Planetary Change. According to data from OpenAlex, Devi Fitrianah has authored 60 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Information Systems, 20 papers in Artificial Intelligence and 11 papers in Global and Planetary Change. Recurrent topics in Devi Fitrianah's work include Data Mining and Machine Learning Applications (19 papers), Edcuational Technology Systems (12 papers) and Multimedia Learning Systems (9 papers). Devi Fitrianah is often cited by papers focused on Data Mining and Machine Learning Applications (19 papers), Edcuational Technology Systems (12 papers) and Multimedia Learning Systems (9 papers). Devi Fitrianah collaborates with scholars based in Indonesia, Malaysia and Singapore. Devi Fitrianah's co-authors include Achmad Nizar Hidayanto, Yudho Giri Sucahyo, Aniati Murni Arymurthy, Jonson Lumban Gaol, Vina Ayumi, Wei Hong, Handrie Noprisson, Kongkiti Phusavat, Gede Putra Kusuma and Edy Irwansyah and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Journal of King Saud University - Computer and Information Sciences.

In The Last Decade

Devi Fitrianah

50 papers receiving 294 citations

Peers

Devi Fitrianah

MIS

GPC

Fahrul Agus Indonesia

Akbar Iskandar Indonesia

Shrikant Mulik India

Hetty Rohayani Indonesia

Haiting Han Denmark

Septi Andryana Indonesia

Ditdit Nugeraha Utama Indonesia

Rahmad Kurniawan Indonesia

Carlos H. Caldas United States

Paul J. Krause United Kingdom

Fahrul Agus Indonesia

Devi Fitrianah

148 ×0.8

104 ×0.8

44 ×1.2

MIS

15 ×0.6

GPC

14 ×0.6

Citations per year, relative to Devi Fitrianah Devi Fitrianah (= 1×) peers Fahrul Agus

Countries citing papers authored by Devi Fitrianah

Since Specialization

Citations

This map shows the geographic impact of Devi Fitrianah's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Devi Fitrianah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devi Fitrianah more than expected).

Fields of papers citing papers by Devi Fitrianah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Devi Fitrianah. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Devi Fitrianah. The network helps show where Devi Fitrianah may publish in the future.

Co-authorship network of co-authors of Devi Fitrianah

This figure shows the co-authorship network connecting the top 25 collaborators of Devi Fitrianah. A scholar is included among the top collaborators of Devi Fitrianah based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Devi Fitrianah. Devi Fitrianah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Fitrianah, Devi, et al.. (2025). Ant Colony Optimization for Jakarta Historical Tours: A Comparative Analysis of GPS and Map Image Approaches. Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi). 9(1). 153–165.

Fitrianah, Devi, et al.. (2024). Enhancing Customer Segmentation Insights by using RFM + Discount Proportion Model with Clustering Algorithms. International Journal of Advanced Computer Science and Applications. 15(3).

Fitrianah, Devi, et al.. (2024). CNN Classifier Parameter Optimization with Genetic Algorithms: A Case Study of Indonesian Batik Patterns. International Journal of Computational Intelligence and Applications. 23(2).

Fitrianah, Devi, et al.. (2024). Product Label Clustering Based on Search Keywords for Product Name Recommendations in Ecommerce. 566–569.

Fitrianah, Devi, et al.. (2023). A Study on Enhanced Spatial Clustering Using Ensemble DBscan and UMAP to Map Fire Zone in Greater Jakarta, Indonesia. SHILAP Revista de lepidopterología. 5(3). 409–418. 2 indexed citations

Fitrianah, Devi, et al.. (2023). A Study on Enhanced Spatial Clustering Using Ensemble Dbscan and Umap to Map Fire Zone in Greater Jakarta, Indonesia. 5(3). 409–418. 2 indexed citations

Fitrianah, Devi, et al.. (2023). Big Data for Financial Analysis: Inflation Rate Forecasting using Random Forest. 28–33. 2 indexed citations

Gaol, Jonson Lumban, et al.. (2023). Implementation of the Pelagic Hotspot Index in detecting the habitat suitability area for bigeye tuna (Thunnus obesus) in the eastern Indian Ocean. Biodiversitas Journal of Biological Diversity. 24(9). 2 indexed citations

Fitrianah, Devi, et al.. (2022). Text classification to predict skin concerns over skincare using bidirectional mechanism in long short-term memory. Zenodo (CERN European Organization for Nuclear Research). 3(3). 137–147. 1 indexed citations

10.

Fitrianah, Devi, et al.. (2021). Analysis of Consumer Purchase Patterns on Handphone Accessories Sales Using FP-Growth Algorithm. Advances in Social Science, Education and Humanities Research. 3 indexed citations

11.

Fitrianah, Devi, et al.. (2020). Penerapan Metode Regresi Linear Untuk Prediksi Penjualan Properti pada PT XYZ. 14(2). 79–86. 50 indexed citations

12.

Fitrianah, Devi, et al.. (2020). Prediction Analysis of Kartu Jakarta Pintar (KJP) Awardees in Vocational High School XYZ Using C4.5 Algorithm. International Journal of Machine Learning and Computing. 10(1). 44–50. 1 indexed citations

13.

Fitrianah, Devi, et al.. (2019). The Comparative Study on Clustering Method Using Hospital Facility Data in Jakarta District and Surrounding Areas. International Journal of Machine Learning and Computing. 9(6). 749–755. 3 indexed citations

14.

Fitrianah, Devi, et al.. (2018). APLIKASI ALARM WEKER BERBASIS ANDROID DENGAN ALGORITMA FISHER YATES SHUFFLE UNTUK MENGACAK PERTANYAAN. 1(1). 1–10. 1 indexed citations

15.

Fitrianah, Devi, et al.. (2015). ST-AGRID: A spatio temporal grid density based clustering and its application for determining the potential fishing zones. International Journal of Software Engineering and Its Applications. 9(1). 13–26. 5 indexed citations

16.

Fitrianah, Devi, et al.. (2015). Apdati: E-Fishing Logbook for integrated tuna fishing data management. Journal of Theoretical and Applied Information Technology. 75(2). 272–281. 11 indexed citations

17.

Fitrianah, Devi, et al.. (2015). A Data Mining Based Approach for Determining the Potential Fishing Zones. International Journal of Information and Education Technology. 6(3). 187–191. 7 indexed citations

18.

Fitrianah, Devi, et al.. (2014). IS Strategic Plan for Higher Education Based on COBIT Assessment: A Case Study. International Journal of Information and Education Technology. 5(8). 629–633. 13 indexed citations

19.

Fitrianah, Devi, et al.. (2014). A conceptual framework of critical success factors to develop an integrated application of tuna fishing data management in Indonesia. 1. 113–118. 3 indexed citations

20.

Fitrianah, Devi & Yudho Giri Sucahyo. (2012). AUDIT SISTEM INFORMASI/TEKNOLOGI INFORMASI DENGAN KERANGKA KERJA COBIT UNTUK EVALUASI MANAJEMEN TEKNOLOGI INFORMASI DI UNIVERSITAS XYZ. SHILAP Revista de lepidopterología. 4(1). 37–37. 21 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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