Junta Zeniarja

444 total citations · 1 hit paper
46 papers, 330 citations indexed

About

Junta Zeniarja is a scholar working on Information Systems, Artificial Intelligence and Health Information Management. According to data from OpenAlex, Junta Zeniarja has authored 46 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Information Systems, 27 papers in Artificial Intelligence and 5 papers in Health Information Management. Recurrent topics in Junta Zeniarja's work include Data Mining and Machine Learning Applications (23 papers), Multimedia Learning Systems (15 papers) and Edcuational Technology Systems (14 papers). Junta Zeniarja is often cited by papers focused on Data Mining and Machine Learning Applications (23 papers), Multimedia Learning Systems (15 papers) and Edcuational Technology Systems (14 papers). Junta Zeniarja collaborates with scholars based in Indonesia, Malaysia and Germany. Junta Zeniarja's co-authors include Abd Samad Hasan Basari, Burairah Hussin, Heru Agus Santoso, Catur Supriyanto, Abdul Syukur, Zainal A. Hasibuan and Guruh Fajar Shidik and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computer Science and Computation.

In The Last Decade

Junta Zeniarja

38 papers receiving 300 citations

Hit Papers

Opinion Mining of Movie Review using Hybrid Method of Sup... 2013 2026 2017 2021 2013 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Opinion Mining of Movie Review using Hybrid Method of Support Vector Machine and Particle Swarm Optimization
    2013 198 citations Junta Zeniarja et al. profile →

Peers

Junta Zeniarja
Ade Romadhony Indonesia
Mardhiya Hayaty Indonesia
Yassine Al-Amrani Morocco
Parikshit Sondhi United States
Dimitrios Kotzias United States
Xiaokun Zhang China
Oren Sar Shalom Israel
Nabil Alami Morocco
Surya Kallumadi United States
Thomas Lin United States
Ade Romadhony Indonesia
Junta Zeniarja
Citations per year, relative to Junta Zeniarja Junta Zeniarja (= 1×) peers Ade Romadhony

Countries citing papers authored by Junta Zeniarja

Since Specialization
Citations

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

Fields of papers citing papers by Junta Zeniarja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junta Zeniarja

This figure shows the co-authorship network connecting the top 25 collaborators of Junta Zeniarja. A scholar is included among the top collaborators of Junta Zeniarja 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 Junta Zeniarja. Junta Zeniarja is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zeniarja, Junta, et al.. (2025). Sentiment Analysis of the 2024 General Election Through Twitter using Long-Short-Term Memory Algorithm. Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University). 4(2). 387–400.
2.
Supriyanto, Catur, et al.. (2025). A Bibliometric Review of Deep Learning Approaches in Skin Cancer Research. Computation. 13(3). 78–78. 1 indexed citations
3.
4.
Zeniarja, Junta, et al.. (2024). Optimasi Convolutional Neural Networks untuk Deteksi Kanker Payudara menggunakan Arsitektur DenseNet. EDUMATIC Jurnal Pendidikan Informatika. 8(1). 310–318.
5.
Zeniarja, Junta, et al.. (2024). GridSearch and Data Splitting for Effectiveness Heart Disease Classification. SinkrOn. 9(1). 317–331.
6.
Zeniarja, Junta, et al.. (2024). Comparison of Hyperparameter Optimization Techniques in Hybrid CNN-LSTM Model for Heart Disease Classification. SinkrOn. 9(1). 455–465. 2 indexed citations
7.
Zeniarja, Junta, et al.. (2024). Pengembangan Chatbot Kesehatan Mental Menggunakan Algoritma Long Short-Term Memory. JURNAL MEDIA INFORMATIKA BUDIDARMA. 8(1). 251–251. 1 indexed citations
8.
Zeniarja, Junta, et al.. (2023). Machine Learning-Enhanced Geographically Weighted Regression for Spatial Evaluation of Human Development Index across Western Indonesia. SHILAP Revista de lepidopterología. 7(2). 996–1003. 1 indexed citations
9.
Supriyanto, Catur, et al.. (2023). Two-Stage Input-Space Image Augmentation and Interpretable Technique for Accurate and Explainable Skin Cancer Diagnosis. Computation. 11(12). 246–246. 3 indexed citations
10.
Zeniarja, Junta, et al.. (2023). Classification of deep learning convolutional neural network feature extraction for student graduation prediction. Indonesian Journal of Electrical Engineering and Computer Science. 32(1). 335–335. 1 indexed citations
11.
Zeniarja, Junta, et al.. (2023). IMPLEMENTATION OF THE RANDOM FOREST ALGORITHM IN CLASSIFYING THE ACCURACY OF GRADUATION TIME FOR COMPUTER ENGINEERING STUDENTS AT DIAN NUSWANTORO UNIVERSITY. Jurnal Teknik Informatika (Jutif). 4(3). 565–572. 3 indexed citations
12.
Zeniarja, Junta, et al.. (2023). Heart Disease Classification Using Deep Neural Network with SMOTE Technique for Balancing Data. 6(1). 240108–240108. 2 indexed citations
13.
Zeniarja, Junta, et al.. (2023). DECISION TREE SIMPLIFICATION THROUGH FEATURE SELECTION APPROACH IN SELECTING FISH FEED SELLERS. Jurnal Teknik Informatika (Jutif). 4(2). 301–309.
14.
Zeniarja, Junta, et al.. (2023). PERFORMANCE OF K-MEANS CLUSTERING AND KNN CLASSIFIER IN FISH FEED SELLER DETERMINATION MODELS. Jurnal Teknik Informatika (Jutif). 4(3). 485–491.
15.
Zeniarja, Junta, et al.. (2021). SISTEM MONITORING PENYEBARAN COVID-19 DI INDONESIA. 83–90. 1 indexed citations
16.
Zeniarja, Junta, et al.. (2020). Sistem Koreksi Jawaban Esai Otomatis (E-Valuation) dengan Vector Space Model pada Computer Based Test (CBT). 4(1). 10 indexed citations
17.
18.
Zeniarja, Junta, et al.. (2019). Aplikasi Genetika Untuk Penjadwalan Mata Pelajaran di SMAN 3 Semarang. 4(1). 87–97. 1 indexed citations
19.
20.
Zeniarja, Junta, et al.. (2015). PREDIKSI CHURN DAN SEGMENTASI PELANGGAN MENGGUNAKAN BACKPROPAGATION NEURAL NETWORK BERBASIS EVOLUTION STRATEGIES. Techno Com. 14(1). 49–54. 3 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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