Alan Prahutama

609 total citations
103 papers, 376 citations indexed

About

Alan Prahutama is a scholar working on Information Systems, Strategy and Management and Artificial Intelligence. According to data from OpenAlex, Alan Prahutama has authored 103 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Information Systems, 29 papers in Strategy and Management and 28 papers in Artificial Intelligence. Recurrent topics in Alan Prahutama's work include Data Mining and Machine Learning Applications (48 papers), Management and Optimization Techniques (28 papers) and Economic Growth and Fiscal Policies (21 papers). Alan Prahutama is often cited by papers focused on Data Mining and Machine Learning Applications (48 papers), Management and Optimization Techniques (28 papers) and Economic Growth and Fiscal Policies (21 papers). Alan Prahutama collaborates with scholars based in Indonesia, United States and Belgium. Alan Prahutama's co-authors include Hasbi Yasin, Rukun Santoso, Budi Warsito, Mustafid Mustafid, Dwi Ispriyanti, Agus Rusgiyono, Sugito Sugito, Abdul Hoyyi, Rezzy Eko Caraka and Sudarno Sudarno and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Science Letters and Journal of Physics Conference Series.

In The Last Decade

Alan Prahutama

83 papers receiving 342 citations

Peers

Alan Prahutama

ACCOU

Bambang Widjanarko Otok Indonesia

Abdul Hoyyi Indonesia

Dodi Devianto Indonesia

Dwi Ispriyanti Indonesia

Agus Rusgiyono Indonesia

I Nyoman Budiantara Indonesia

Vita Ratnasari Indonesia

Weiren Wang United States

Subhan Subhan Indonesia

Arief Rachman Hakim Indonesia

Bambang Widjanarko Otok Indonesia

Alan Prahutama

93 ×0.7

44 ×0.6

86 ×1.2

27 ×0.7

18 ×0.5

ACCOU

Citations per year, relative to Alan Prahutama Alan Prahutama (= 1×) peers Bambang Widjanarko Otok

Countries citing papers authored by Alan Prahutama

Since Specialization

Citations

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

Fields of papers citing papers by Alan Prahutama

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alan Prahutama

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

Prahutama, Alan. (2020). Pelatihan Analisis Data Statistika Bagi Mahasiswa Tingkat Akhir Selama Pandemi Covid-19. 1(1).

Sugito, Sugito, et al.. (2020). ANALISIS ANTREAN DAN KINERJA SISTEM PELAYANAN GARDU TOL OTOMATIS GERBANG TOL MUKTIHARJO. 8(1). 1 indexed citations

Rahmawati, Rita, et al.. (2018). PEMODELAN VECTOR AUTOREGRESSIVE X (VARX) UNTUK MERAMALKAN JUMLAH UANG BEREDAR DI INDONESIA. Jurnal Gaussian. 6(3). 333–343. 6 indexed citations

Prahutama, Alan, et al.. (2018). Pengabdian Masyarakat Pengembangan Produk UMKM Olahan Ikan Bandeng. 1. 5 indexed citations

Prahutama, Alan, et al.. (2017). KLASIFIKASI DIAGNOSA PENYAKIT DEMAM BERDARAH DENGUE (DBD) MENGGUNAKAN SUPPORT VECTOR MACHINE (SVM) BERBASIS GUI MATLAB. Jurnal Gaussian. 6(2). 171–180. 4 indexed citations

Prahutama, Alan, et al.. (2016). PEMODELAN DAN PERAMALAN INDEKS HARGA SAHAM GABUNGAN (IHSG), JAKARTA ISLAMIC INDEX (JII), DAN HARGA MINYAK DUNIA BRENT CRUDE OIL MENGGUNAKAN METODE VECTOR AUTOREGRESSIVE EXOGENOUS (VARX). Jurnal Gaussian. 5(4). 683–693. 4 indexed citations

Yasin, Hasbi, et al.. (2016). GEOGRAPHICALLY WEIGHTED REGRESSION PRINCIPAL COMPONENT ANALYSIS (GWRPCA) PADA PEMODELAN PENDAPATAN ASLI DAERAH DI JAWA TENGAH. Jurnal Gaussian. 5(4). 717–726.

Mustafid, Mustafid, et al.. (2016). METODE REGRESI DATA PANEL UNTUK PERAMALAN KONSUMSI ENERGI DI INDONESIA. Jurnal Gaussian. 5(3). 475–485. 26 indexed citations

Mustafid, Mustafid, et al.. (2016). IMPLEMENTASI METODE SIX SIGMA MENGGUNAKAN GRAFIK PENGENDALI EWMA SEBAGAI UPAYA MEMINIMALISASI CACAT PRODUK KAIN GREI. Jurnal Gaussian. 5(1). 61–70. 1 indexed citations

10.

Ispriyanti, Dwi, et al.. (2016). PEMBENTUKAN MODEL SPASIAL DATA PANEL FIXED EFFECT MENGGUNAKAN GUI MATLAB (Studi Kasus : Kemiskinan di Jawa Tengah). Jurnal Gaussian. 5(3). 417–426. 1 indexed citations

11.

Prahutama, Alan, et al.. (2015). PERAMALAN BEBAN PUNCAK PEMAKAIAN LISTRIK DI AREA SEMARANG DENGAN METODE HYBRID ARIMA (AUTOREGRESSIVE INTEGRATED MOVING AVERAGE)-ANFIS (ADAPTIVE NEURO FUZZY INFERENCE SYSTEM) (Studi Kasus di PT PLN (Persero) Distribusi Jawa Tengah dan DIY). Jurnal Gaussian. 4(4). 714–723. 1 indexed citations

12.

Rahmawati, Rita, et al.. (2015). PEMODELAN GENERALIZED SPACE TIME AUTOREGRESSIVE (GSTAR) SEASONAL PADA DATA JUMLAH WISATAWAN MANCANEGARA EMPAT KABUPATEN/KOTA DI JAWA TENGAH. Jurnal Gaussian. 4(4). 1017–1026. 2 indexed citations

13.

Ispriyanti, Dwi, et al.. (2015). PERAMALAN BEBAN PEMAKAIAN LISTRIK JAWA TENGAH DAN DAERAH ISTIMEWA YOGYAKARTA DENGAN MENGGUNAKAN HYBRID AUTOREGRESIVE INTEGRATED MOVING AVERAGE – NEURAL NETWORK. Jurnal Gaussian. 4(4). 745–754. 1 indexed citations

14.

Ispriyanti, Dwi, et al.. (2014). PEMBENTUKAN POHON KLASIFIKASI BINER DENGAN ALGORITMA QUEST (QUICK, UNBIASED, AND EFFICIENT STATISTICAL TREE) PADA DATA PASIEN LIVER. Jurnal Gaussian. 3(4). 731–739.

15.

Prahutama, Alan, et al.. (2014). PENGUKURAN KINERJA PORTOFOLIO SAHAM MENGGUNAKAN MODEL BLACK-LITTERMAN BERDASARKAN INDEKS TREYNOR, INDEKS SHARPE, DAN INDEKS JENSEN (Studi Kasus Saham-Saham yang Termasuk dalam Jakarta Islamic Index Periode 2009-2013). Jurnal Gaussian. 3(4). 859–868. 3 indexed citations

16.

Prahutama, Alan. (2014). ANALISIS KEMENANGAN PEMILIHAN GUBERNUR (PILGUB) JAWA TENGAH 2013 DENGAN AUTOKORELASI SPASIAL. 2(1). 1 indexed citations

17.

Yasin, Hasbi, et al.. (2014). ANALISIS SUPPORT VECTOR REGRESSION (SVR) DALAM MEMPREDIKSI KURS RUPIAH TERHADAP DOLLAR AMERIKA SERIKAT. Jurnal Gaussian. 3(4). 849–858. 14 indexed citations

18.

Mustafid, Mustafid, et al.. (2014). METODE SERVQUAL-SIX SIGMA UNTUK PENINGKATAN KUALITAS PELAYANAN PUBLIK (Studi Kasus di Kantor Kecamatan Kedungbanteng, Purwokerto). Jurnal Gaussian. 3(4). 625–634. 4 indexed citations

19.

Rusgiyono, Agus, et al.. (2014). APLIKASI METODE MOMEN PROBABILITAS TERBOBOTI UNTUK ESTIMASI PARAMETER DISTRIBUSI PARETO TERAMPAT PADA DATA CURAH HUJAN (Studi Kasus : Data Curah Hujan di Kota Semarang Tahun 2004-2013). Jurnal Gaussian. 3(4). 821–830. 1 indexed citations

20.

Prahutama, Alan, Sugito Sugito, & Agus Rusgiyono. (2012). INFERENSI STATISTIK DARI DISTRIBUSI NORMAL DENGAN METODE BAYES UNTUK NON-INFORMATIF PRIOR. SHILAP Revista de lepidopterología. 5(2).

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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