Article Per Year (5 Year)
p-Index From 2021 - 2026
2.241
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) TEKNIK Transmisi: Jurnal Ilmiah Teknik Elektro TRANSIENT: Jurnal Ilmiah Teknik Elektro Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Seminar Nasional Informatika (SEMNASIF) Jurnal Sisfokom (Sistem Informasi dan Komputer) TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol EkBis: Jurnal Ekonomi dan Bisnis Indonesian Journal of electronics, electromedical engineering, and medical informatics Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Iwan Setiawan
Departemen Teknik Elektro, Fakultas Teknik, Universitas Diponegoro
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering

Published : 22 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 22 Documents
Search

 1   2   3 
Predictive Models Talented Researcher Using Modern Approach Quantum Machine Learning (QML) Lukman Anas; Aghus Sofwan; Iwan Setiawan
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 15 No. 2 (2026): MAY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v15i02.2593

Abstract

Scientific advancement is profoundly shaped by the ability of exceptional individuals to investigate and produce novel insights. Nonetheless, conventional assessment techniques that depend on bibliometric metrics such as the Scopus Score, Sinta, Google Scholar (GS) , and the H-Index—frequently neglect to encapsulate the intricate dynamics associated with research quality. In order to rectify these inadequacies, this study introduces a model aimed at the identification of gifted researchers through a Quantum Machine Learning (QML) methodology. The proposed framework seeks to surmount the constraints of ranking systems that rely exclusively on scientometric indicators by incorporating a reconstructed kernel Hilbert space (RKHS). The research methodology is delineated into four principal phases: (1) data gathering and preprocessing, (2) QSVM model training, (3) researcher score identification and visualization, and (4) performance assessment by comparing actual and anticipated scores. QSVM was tested using a dataset of researchers from various fields. Results show that QSVM accurately predicts researcher performance, with variances between Scores for the whole thing range from -0.25 to 0.05. The plan that was offered congruence with actual performance data supports its robustness. The ranking analysis shows a low mistake rate, proving QSVM's academic performance evaluation accuracy. QML-based categorization models can be scalable and data-driven alternatives to standard research assessment methods, according to this study.
Sistem Kontrol Injeksi Arus pada Inverter Berbasis Metode Proportional Integral Eko Wirahadi Saputra; Hermawan Hermawan; Iwan Setiawan
TEKNIK Vol 41, No 2 (2020)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/teknik.v0i0.23932

Abstract

Saat ini energi terbarukan yang bersumber dari energi hijau terus dikembangkan dan dioptimalkan. Khusus pemanfaatan energi terbarukan dengan keluaran daya DC, maka secara praktis diperlukan sistem  inverter agar bisa digunakan sebagai pengganti sumber energi daya AC. Agar bekerja secara optimal, secara internal dalam sebuah sistem inverter sumber tegangan, perlu dilengkapi sistem umpan balik arus. Salah satu metode pengontrolan arus inverter yang relative popular adalah metode kontrol Proporsional-Integral. Dalam penelitan ini, dirancang inverter satu fasa tipe Full Bridge dengan metode kontrol proportional-integral menggunakan mikrokontroler 16-bit dsPIC30F4011. Dengan sensor arus ACS712-05B arus keluaran inverter diumpan-balikkan. Pengujian dilakukan dengan variasi beban 8 Ω dan 10 Ω, dengan memvariasikan sejumlah nilai parameter kp dan ki. Berdasarkan hasil pengujian metode proportional integral untuk pengontrollan arus pada inverter satu fasa memiliki respon sistem cepat dan relative stabil.
Co-Authors Aditya Mahendra Afrisal, Hadha Aghus Sofwan Aghus Sofwan Agung Nugroho Ammar Akbar Ghifari Basyar Andromeda, Trias Annisa Gallela Anjani Ardyono Priyadi Arief Marwanto Arif Mulyanto Aris Triwiyatno Berkah Fajar Tamtomo kiono Denis Denis Didik Setiyadi Eduward Tigor Eko Wirahadi Saputra Enda Wista Sinuraya Evan Hafidzudin Elinda Faizly van Ghozlizar gema romadhona Ghanis Kauchya Nugraha Hermawan Hermawan Jumrianto Jumrianto Kurniawan Kurniawan Kusnanto Mukti Wibowo Lukman Anas Mauridhi Hery Purnomo Mochammad Facta Mochammad Facta Muhammad Iqbal Muhammad Izzy Ramadhan Munawar Agus Riyadi N. Prasath Presillia Grisviani Grisviani Riva Amrulloh Rizki Nurilyas Ahmad Royan Royan Rum Sapundani Santoso, Imam Septy Setia Nugraha Sonny Hady Winoto Sorikhi Sorikhi Sukarno Budi Utomo Susatyo Handoko Tunjung Dwi Madyanto Umair Al-Anshory Wahyudi Wahyudi Wahyudi Wahyudi Winda Pratiwi Zahirah Ahlami