Eko Prasetyo

607 total citations
64 papers, 420 citations indexed

About

Eko Prasetyo is a scholar working on Information Systems, Artificial Intelligence and Water Science and Technology. According to data from OpenAlex, Eko Prasetyo has authored 64 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Information Systems, 18 papers in Artificial Intelligence and 9 papers in Water Science and Technology. Recurrent topics in Eko Prasetyo's work include Data Mining and Machine Learning Applications (14 papers), Edcuational Technology Systems (11 papers) and Water Quality Monitoring Technologies (9 papers). Eko Prasetyo is often cited by papers focused on Data Mining and Machine Learning Applications (14 papers), Edcuational Technology Systems (11 papers) and Water Quality Monitoring Technologies (9 papers). Eko Prasetyo collaborates with scholars based in Indonesia, Japan and Australia. Eko Prasetyo's co-authors include Chastine Fatichah, Nanik Suciati, Tole Sutikno, Widiyatno Widiyatno, Tetsuya Matsui, Yoshihiko Tsumura, Sapto Indrioko, Yoshihisa Suyama, Ayumi Matsuo and Ikutaro Tsuyama and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers and Electronics in Agriculture and Ecological Informatics.

In The Last Decade

Eko Prasetyo

56 papers receiving 383 citations

Peers

Countries citing papers authored by Eko Prasetyo

Since Specialization

Citations

This map shows the geographic impact of Eko Prasetyo'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 Eko Prasetyo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eko Prasetyo more than expected).

Fields of papers citing papers by Eko Prasetyo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eko Prasetyo. 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 Eko Prasetyo. The network helps show where Eko Prasetyo may publish in the future.

Co-authorship network of co-authors of Eko Prasetyo

This figure shows the co-authorship network connecting the top 25 collaborators of Eko Prasetyo. A scholar is included among the top collaborators of Eko Prasetyo 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 Eko Prasetyo. Eko Prasetyo 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

#	Work	Indexed citations
1	Genomic adaptation in teak ( Tectona grandis ) to local climatic conditions and implication for resilient planting strategies on Java Island 2025 ·Forest Science and Technology ·(unknown), Eko Prasetyo, Widiyatno Widiyatno, Sapto Indrioko, (unknown), Naoki Tani, Yoshihiko Tsumura	1
2	Ecofeminism in Indonesian Environmental Law: Gender Equality for Sustainable Natural Resource Management 2024 ·Eko Prasetyo	0
3	Optimasi Klasifikasi Data Stunting Melalui Ensemble Learning pada Label Multiclass dengan Imbalance Data 2024 ·SHILAP Revista de lepidopterología ·Eko Prasetyo, (unknown)	0
4	CLASSIFICATION OF ROASTING RATES IN COFFEE BEANS BY DIGITAL IMAGE PROCESSING USING THE NAIVE BAYES CLASSIFIER (NBC) METHOD 2023 ·(unknown), Eko Prasetyo, (unknown)	1
5	Design of Expert System Diagnosis of Catfish Disease with Forward Chaining Method 2023 ·(unknown), Eko Prasetyo, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	2
6	Application of Obligatory Prayer Learning Based on Augmented Reality 2021 ·(unknown), (unknown), Eko Prasetyo, (unknown), (unknown)	0
7	Applying the Weighted Product Method for The Best Selection of Personal Quality Control in Pt. Pacific Equinox Surabaya 2020 ·(unknown), Eko Prasetyo, (unknown)	3
8	Study Program Classification System Informatics Engineering of Ubhara Surabaya 2020 ·(unknown), Eko Prasetyo, (unknown)	0
9	A Comparison of YOLO and Mask R-CNN for Segmenting Head and Tail of Fish 2020 ·Eko Prasetyo, Nanik Suciati, Chastine Fatichah	26
10	ANALISIS FITUR TEKSTUR DAUN MANGGA DENGAN FISHER’S DISCRIMINANT RATIO UNTUK PENCAPAIAN FITUR YANG INFORMATIF 2019 ·SHILAP Revista de lepidopterología ·Eko Prasetyo	0
11	Comparative Performance of Mitigation Voltage Sag/Swell and Harmonics Using DVR-BES-PV System with MPPT-Fuzzy Mamdani/MPPT-Fuzzy Sugeno 2019 ·International journal of intelligent engineering and systems ·(unknown), Eko Prasetyo, (unknown)	8
12	Clasification System of Library Book Based on Similarity of The Book Title Using K-Means Method (case Study Library of Bhayangkara Surabaya) 2018 ·(unknown), Eko Prasetyo, (unknown)	1
13	DETEKSI WILAYAH CAHAYA INTENSITAS TINGGI CITRA DAUN MANGGA UNTUK EKSTRAKSI FITUR WARNA DAN TEKSTUR PADA KLASIFIKASI JENIS POHON MANGGA 2017 ·Seminar Nasional Teknologi Informasi Komunikasi dan Industri ·Eko Prasetyo, (unknown), Nanik Suciati, Chastine Fatichah	2
14	Implementation of Naive Bayes Method in Classification of Breast Cancer Disease 2017 ·(unknown), Eko Prasetyo, (unknown)	1
15	System Prediction Production PT.Vico Indonesia Using Method Holt Winters 2017 ·(unknown), Eko Prasetyo, (unknown)	1
16	Sistem Pengenal Jenis Pohon Mangga Berdasarkan Tekstur Daun Menggunakan SVM dan FK-NNC 2016 ·SHILAP Revista de lepidopterología ·Eko Prasetyo	1
17	Uji Kinerja Dan Analisis K-Support Vector Nearest Neighbor Terhadap Decision Tree dan Naive Bayes 2016 ·SHILAP Revista de lepidopterología ·Eko Prasetyo, (unknown), (unknown), (unknown)	2
18	ANALISIS PROGRAM INSPEKSI KESELAMATAN DAN KESEHATAN KERJA (K3) SEBAGAI BENTUK UPAYA PROMOSI BUDAYA K3 DI LINGKUNGAN KERJA 2016 ·Eko Prasetyo, (unknown)	2
19	Forecasting the Number of Brick Production Using the Method of Exponential Smoothing Holt-Winter (case Study: PT Sik Krian) 2016 ·(unknown), Eko Prasetyo, (unknown)	0
20	PERBAIKAN AKURASI FUZZY K-NEAREST NEIGHBOR IN EVERY CLASS MENGGUNAKAN FUNGSI KERNEL 2013 ·SEMNASTEKNOMEDIA ONLINE ·(unknown), Eko Prasetyo, (unknown)	1

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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