Dito Putro Utomo

689 total citations
43 papers, 435 citations indexed

About

Dito Putro Utomo is a scholar working on Information Systems, Management Information Systems and Artificial Intelligence. According to data from OpenAlex, Dito Putro Utomo has authored 43 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Information Systems, 26 papers in Management Information Systems and 25 papers in Artificial Intelligence. Recurrent topics in Dito Putro Utomo's work include Decision Support System Applications (26 papers), Edcuational Technology Systems (21 papers) and Multimedia Learning Systems (19 papers). Dito Putro Utomo is often cited by papers focused on Decision Support System Applications (26 papers), Edcuational Technology Systems (21 papers) and Multimedia Learning Systems (19 papers). Dito Putro Utomo collaborates with scholars based in Indonesia. Dito Putro Utomo's co-authors include Mesran Mesran, Suginam Suginam, Nurjannah Nurjannah, Surya Darma Nasution, Abdul Karim and Nelly Astuti Hasibuan and has published in prestigious journals such as SHILAP Revista de lepidopterología, JURIKOM (Jurnal Riset Komputer) and KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer).

In The Last Decade

Dito Putro Utomo

37 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dito Putro Utomo Indonesia 12 322 236 184 102 13 43 435
H M Jogiyanto 3 243 0.8× 182 0.8× 185 1.0× 33 0.3× 9 0.7× 4 351
Rizal Rachman Indonesia 9 180 0.6× 100 0.4× 65 0.4× 89 0.9× 4 0.3× 36 265
Suginam Suginam Indonesia 12 246 0.8× 191 0.8× 198 1.1× 104 1.0× 2 0.2× 49 395
Agustinus Fritz Wijaya Indonesia 11 250 0.8× 118 0.5× 161 0.9× 55 0.5× 11 0.8× 92 395
Tonni Limbong Indonesia 8 295 0.9× 187 0.8× 219 1.2× 102 1.0× 7 0.5× 41 430
Gede Surya Mahendra Indonesia 10 184 0.6× 115 0.5× 128 0.7× 54 0.5× 4 0.3× 44 266
Indra Kanedi Indonesia 7 172 0.5× 110 0.5× 77 0.4× 12 0.1× 5 0.4× 34 229
Dyah Ayu Megawaty Indonesia 12 221 0.7× 134 0.6× 90 0.5× 26 0.3× 6 0.5× 36 291
Adhie Thyo Priandika Indonesia 11 209 0.6× 103 0.4× 90 0.5× 49 0.5× 3 0.2× 35 280
Muhammad Dedi Irawan Indonesia 8 202 0.6× 133 0.6× 93 0.5× 19 0.2× 7 0.5× 68 251

Countries citing papers authored by Dito Putro Utomo

Since Specialization
Citations

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

Fields of papers citing papers by Dito Putro Utomo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dito Putro Utomo. 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 Dito Putro Utomo. The network helps show where Dito Putro Utomo may publish in the future.

Co-authorship network of co-authors of Dito Putro Utomo

This figure shows the co-authorship network connecting the top 25 collaborators of Dito Putro Utomo. A scholar is included among the top collaborators of Dito Putro Utomo 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 Dito Putro Utomo. Dito Putro Utomo 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.
Utomo, Dito Putro, et al.. (2024). A comparison of the performance of data mining classification algorithms on medical datasets with the application of data normalization. AIP conference proceedings. 3067. 20047–20047. 1 indexed citations
2.
3.
Hasibuan, Nelly Astuti, et al.. (2022). Implementasi Metode MOORA Dengan Pembobotan Rank Order Centroid (ROC) dalam Seleksi Penerimaan Staff Gudang PT. Royal Abadi Sejahtera. Building of Informatics Technology and Science (BITS). 4(2). 581–587. 2 indexed citations
4.
Utomo, Dito Putro, et al.. (2022). Sistem Pendukung Keputusan Penilaian Kinerja Manajer di PT. Pos Indonesia dengan Metode WASPAS. JURIKOM (Jurnal Riset Komputer). 9(1). 41–41. 22 indexed citations
5.
Utomo, Dito Putro, et al.. (2021). Pemanfaatan Media Pembelajaran Sebagai Sarana Ujian Berbasis Daring. 1(2). 59–63. 1 indexed citations
6.
Utomo, Dito Putro, et al.. (2021). Penerapan Algoritma C5.0 Untuk Mengetahui Pola Kepuasan Mahasiswa di Masa Pembelajaran Daring. 3(1). 7–12. 7 indexed citations
7.
Utomo, Dito Putro, et al.. (2021). Analysis of Online Learning Understanding Patterns at Budi Darma University Using the C5.0 Algorithm. 5(2). 118–118. 4 indexed citations
8.
Utomo, Dito Putro, et al.. (2020). Implementasi Metode ROC (Rank Order Centroid) Dan Waspas Dalam Sistem Pendukung Keputusan Pemilihan Kerjasama Vendor. KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer). 4(1). 34 indexed citations
9.
Utomo, Dito Putro, et al.. (2020). Implementasi Fuzzy Logic Dengan Infrensi Tsukamoto Untuk Prediksi Jumlah Kemasan Produksi (Studi Kasus : PT. Sinar Sosro Medan). 9(1). 56–60. 1 indexed citations
10.
Utomo, Dito Putro, et al.. (2020). Reduksi Atribut Pada Dataset Penyakit Jantung dan Klasifikasi Menggunakan Algoritma C5.0. JURNAL MEDIA INFORMATIKA BUDIDARMA. 4(4). 994–1006. 17 indexed citations
11.
Utomo, Dito Putro, et al.. (2020). Implementasi Algoritma Rabin-Karp Pada Pencarian Quotes Tokoh Terkenal. 9(1). 43–55. 2 indexed citations
12.
Utomo, Dito Putro, et al.. (2020). Penarapan Algoritma Prefix Code Dalam Kompresi Data Teks. KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer). 4(1). 6 indexed citations
13.
Utomo, Dito Putro, et al.. (2020). Sistem Pakar Diagnosa Hepatomegali Menerapkan Metode Fuzzy Logic Sugeno. KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer). 4(1). 4 indexed citations
14.
Utomo, Dito Putro, et al.. (2020). Analisis Perbandingan Algoritma Even-Rodeh Code Dan Algoritma Subexponential Code Untuk Kompresi File Teks. KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer). 4(1). 2 indexed citations
15.
Utomo, Dito Putro, et al.. (2020). Pemanfaatan Aplikasi Kahoot Sebagai Sarana Ujian Berbasis Online. 1(2). 40–43. 1 indexed citations
16.
Utomo, Dito Putro, et al.. (2020). Penerapan Metode SMARTER Pada Sistem Pendukung Keputusan Pemilihan Merchandise Display Terbaik (Studi Kasus : PT. Pasar Swalayan Maju Bersama). KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer). 4(1). 11 indexed citations
17.
Utomo, Dito Putro, et al.. (2020). Sistem Pendukung Keputusan Penempatan Mentor Pada Pusat Pengembangan Anak IO 558 Sangkakala Medan Menggunakan Metode CPI dan ROC. KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer). 4(1). 7 indexed citations
18.
Utomo, Dito Putro, et al.. (2020). Penerapan Algoritma Stout Codes Untuk Kompresi Record Pada Databade Di Aplikasi Kumpulan Novel. KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer). 4(1). 2 indexed citations
19.
Utomo, Dito Putro, et al.. (2019). Penerapan Metode Aras Dalam Pemilihan Asisten Perkebunan Terbaik Pada PTPN V. 1(1). 20 indexed citations
20.
Utomo, Dito Putro & Surya Darma Nasution. (2016). SISTEM PAKAR MENDETEKSI KERUSAKAN TONER DENGAN MENGGUNAKAN METODE CASE BASED-REASONING. JURIKOM (Jurnal Riset Komputer). 3(5). 10 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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