Agung Triayudi

945 total citations
163 papers, 532 citations indexed

About

Agung Triayudi is a scholar working on Information Systems, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Agung Triayudi has authored 163 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Information Systems, 79 papers in Artificial Intelligence and 30 papers in Management Information Systems. Recurrent topics in Agung Triayudi's work include Edcuational Technology Systems (69 papers), Multimedia Learning Systems (64 papers) and Data Mining and Machine Learning Applications (51 papers). Agung Triayudi is often cited by papers focused on Edcuational Technology Systems (69 papers), Multimedia Learning Systems (64 papers) and Data Mining and Machine Learning Applications (51 papers). Agung Triayudi collaborates with scholars based in Indonesia, Malaysia and Canada. Agung Triayudi's co-authors include Iskandar Fitri, Sumiati Sumiati, Muhammad Iqbal, Lia Kamelia, Adi Wibowo, Suginam Suginam, Mesran Mesran, Robbi Rahim and Muhammad Faizal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Physics Conference Series and TELKOMNIKA (Telecommunication Computing Electronics and Control).

In The Last Decade

Agung Triayudi

117 papers receiving 463 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Agung Triayudi Indonesia 11 381 272 96 40 36 163 532
Windu Gata Indonesia 14 598 1.6× 458 1.7× 87 0.9× 36 0.9× 16 0.4× 155 806
Aries Saifudin Indonesia 15 475 1.2× 309 1.1× 163 1.7× 22 0.6× 24 0.7× 58 588
Sarjon Defit Indonesia 11 384 1.0× 299 1.1× 88 0.9× 14 0.3× 8 0.2× 176 551
Janner Simarmata Indonesia 13 404 1.1× 259 1.0× 211 2.2× 16 0.4× 6 0.2× 52 628
Heni Sulistiani Indonesia 16 445 1.2× 253 0.9× 114 1.2× 10 0.3× 6 0.2× 62 595
Ginanjar Wiro Sasmito Indonesia 7 321 0.8× 208 0.8× 131 1.4× 12 0.3× 5 0.1× 43 417
Setiawansyah Setiawansyah Indonesia 17 508 1.3× 279 1.0× 199 2.1× 12 0.3× 4 0.1× 84 720
Desy Apriani Indonesia 13 199 0.5× 75 0.3× 38 0.4× 14 0.3× 6 0.2× 37 369
Dyna Marisa Khairina Indonesia 13 313 0.8× 205 0.8× 164 1.7× 8 0.2× 6 0.2× 75 510
I Putu Agus Eka Pratama Indonesia 8 228 0.6× 126 0.5× 95 1.0× 16 0.4× 3 0.1× 72 331

Countries citing papers authored by Agung Triayudi

Since Specialization
Citations

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

Fields of papers citing papers by Agung Triayudi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agung Triayudi

This figure shows the co-authorship network connecting the top 25 collaborators of Agung Triayudi. A scholar is included among the top collaborators of Agung Triayudi 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 Agung Triayudi. Agung Triayudi 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.
Triayudi, Agung, et al.. (2024). Implementation of Naïve Bayes and K-NN Algorithms in Diagnosing Stunting in Children. 2(1). 164–174. 3 indexed citations
2.
3.
Triayudi, Agung, et al.. (2023). Penentuan Mahasiswa Berprestasi dengan Menerapkan Metode Multi Attribute Utility Theory (MAUT). Jurnal Sistem Komputer dan Informatika (JSON). 5(1). 122–122. 1 indexed citations
4.
Triayudi, Agung, et al.. (2023). Penerapan Sistem Pendukung Keputusan dalam Penentuan Alat Bantu Media Pembelajaran Fisika Terbaik Menggunakan Metode PSI. Journal of Computer System and Informatics (JoSYC). 4(4). 861–871. 2 indexed citations
5.
Triayudi, Agung, et al.. (2023). Analisa Sentimen Pengguna Transportasi Jakarta Terhadap Transjakarta Menggunakan Metode Naives Bayes dan K-Nearest Neighbor. Journal of Information System Research (JOSH). 4(2). 543–550. 4 indexed citations
6.
Triayudi, Agung, et al.. (2023). Pengembangan E-Learning Management System Untuk Tingkat Sekolah Dasar Berbasis Website dengan Metode Agile. Journal of Information System Research (JOSH). 4(2). 683–692. 1 indexed citations
7.
Triayudi, Agung, et al.. (2023). Sistem Pendukung Keputusan Seleksi Pendidikan dan Pengembangan Pegawai Negeri dengan Metode AHP dan SAW. Journal of Computer System and Informatics (JoSYC). 4(2). 294–305. 1 indexed citations
8.
Triayudi, Agung, et al.. (2023). Sistem Pendukung Keputusan Rekomendasi Objek Wisata Menerapkan Metode MABAC dan Pembobotan ROC. Jurnal Sistem Komputer dan Informatika (JSON). 5(1). 112–112.
9.
Triayudi, Agung, et al.. (2023). Implementasi Data Mining dengan Algoritma Apriori dalam Menentukan Pola Pembelian Aksesoris Laptop. JURNAL MEDIA INFORMATIKA BUDIDARMA. 7(4). 2087–2087. 2 indexed citations
10.
Triayudi, Agung. (2022). Penerapan Metode VIKOR dan WASPAS Dalam Pemilihan Handphone Bekas. Building of Informatics Technology and Science (BITS). 4(2). 3 indexed citations
11.
12.
Triayudi, Agung. (2022). Penerapan Algoritma Apriori Data Mining Untuk Menentukan Penyusunan Layout Barang Pada Toko Ritel. Building of Informatics Technology and Science (BITS). 4(2). 1 indexed citations
13.
Triayudi, Agung, et al.. (2022). Komparasi Metode Simple Addtive Weighting dan Weight Product Menggunakan Sistem Pendukung Keputusan pada Penerimaan BLT. JURIKOM (Jurnal Riset Komputer). 9(5). 1543–1543. 2 indexed citations
14.
Triayudi, Agung, et al.. (2022). DATA MINING K-MEDOIDS DAN K-MEANS UNTUK PENGELOMPOKAN POTENSI PRODUKSI KELAPA SAWIT DI INDONESIA. JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika). 7(4). 1294–1310. 4 indexed citations
15.
Triayudi, Agung, et al.. (2021). PENERAPAN METODE DESIGN THINKING DALAM RANCANG APLIKASI PENANGANAN LAPORAN PENCURIAN BARANG BERHARGA DI POLSEK SUKMAJAYA. JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika). 6(2). 267–276. 3 indexed citations
16.
Triayudi, Agung, et al.. (2020). Implementation Of A Star Algorithm In Android Based Alien Shooter Games: Implementation Of A Star Algorithm In Android Based Alien Shooter Games. Jurnal Mantik. 4(1). 866–872.
17.
Triayudi, Agung, et al.. (2020). Comparison of Weighted Product Method and Simple Additive Weighting in Scholarship Recipient Selection: Comparison of Weighted Product Method and Simple Additive Weighting in Scholarship Recipient Selection. Jurnal Mantik. 3(4). 337–347. 3 indexed citations
18.
Triayudi, Agung, et al.. (2020). Analysis of Factors Affecting Student Graduation Using the K-Means clustering Method: Analysis of Factors Affecting Student Graduation Using the K-Means clustering Method. Jurnal Mantik. 3(4). 135–143. 2 indexed citations
19.
Triayudi, Agung, et al.. (2020). Electronic Alarm Uses Arduino with Ultrasonic Sensor and MP3 Module as the School Bell Time at Kemala Bhayangkari Delog Vocational School: Electronic Alarm Uses Arduino with Ultrasonic Sensor and MP3 Module as the School Bell Time at Kemala Bhayangkari Delog Vocational School. Jurnal Mantik. 4(1). 843–849. 1 indexed citations
20.

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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