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All Journal International Journal Software Engineering and Computer Science (IJSECS) Jurnal Mahasiswa Ilmu Komputer Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Yan Everhard Riwurohi
Universitas Budi Luhur
Computer Science & IT

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KEWIRAUSAHAAN BERBASIS ETIKA YANG DIDUKUNG OLEH KECERDASAN BUATAN STUDI KASUS DI INDONESIA Hendri Irawan; Painem Painem; Yan Everhard Riwurohi; Irawan Irawan
Jurnal Mahasiswa Ilmu Komputer Vol. 6 No. 2 (2025): Jurnal Mahasiswa Ilmu Komputer October 2025
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/ilmukomputer.v6i2.9545

Abstract

Kemajuan teknologi saat ini telah membuka peluang besar bagi kewirausahaan, terutama melalui penerapan kecerdasan buatan (AI). Namun, di balik manfaat efisiensi dan inovasi, muncul berbagai persoalan etika seperti bias algoritmik, pelanggaran privasi data, manipulasi konsumen, serta ketergantungan berlebihan pada otomatisasi. Penelitian ini bertujuan menganalisis pentingnya integrasi prinsip etika dalam praktik kewirausahaan berbasis AI, khususnya mengacu pada rekomendasi UNESCO tentang transparansi, keadilan, perlindungan privasi, dan tanggung jawab sosial. Dengan menggunakan metode studi literatur deskriptif-kualitatif, penelitian ini mengkaji sejumlah studi kasus di Indonesia, mulai dari marketplace digital, pemasaran online, hingga aplikasi periklanan dan manajemen digital. Hasil kajian menunjukkan bahwa tanpa pengawasan etis yang memadai, pemanfaatan AI justru berisiko memperlebar kesenjangan sosial, melemahkan perlindungan konsumen, dan mengurangi kepercayaan publik. Oleh karena itu, diperlukan strategi mitigasi praktis, seperti audit algoritmik independen, desain sistem yang ramah privasi, literasi digital bagi pelaku usaha dan konsumen, serta pelatihan etika bagi pengambil keputusan. Kesimpulannya, integrasi nilai-nilai etika dalam ekosistem bisnis berbasis AI tidak hanya penting untuk keberlanjutan usaha, tetapi juga untuk menciptakan dampak sosial yang inklusif dan bertanggung jawab.
Performance Trade-Off Between Windows 10 and Windows 11: A Comparative Analysis of CPU and Memory Behavior Using Performance Monitor and LatencyMon Ekie Revsie Akbar; Muhammad Fadhil Rachman; Tiara Fitriana; Try Mulyoto; Yan Everhard Riwurohi
International Journal Software Engineering and Computer Science (IJSECS) Vol. 6 No. 2 (2026): AUGUST 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v6i2.7560

Abstract

The operating system consumes processor and memory resources and affects kernel-level responsiveness before user applications run, and these resource demands may differ across operating system versions. This study compared Windows 10 and Windows 11 under a realistic and reproducible video transcoding workload performed with HandBrake, measuring CPU utilization, hard page faults, and interrupt-to-process latency. A quantitative experimental method was used. Performance Monitor recorded CPU and memory behavior, while LatencyMon measured kernel timer, interrupt service routine, deferred procedure call, and interrupt-to-process latency. An important constraint is that the two operating systems were tested on physically different devices with processors from different generations: a 6th-generation dual-core Intel Core i7-6600U and an 11th-generation quad-core Intel Core i7-1165G7. Therefore, the measured differences cannot be attributed to the operating system version alone. Windows 11 showed more sustained CPU utilization and recorded fewer hard page faults than Windows 10 (22,480 versus 50,539), although the difference is also subject to the unequal monitoring durations. Windows 10 recorded a lower highest interrupt-to-process latency (1,147.60 µs versus 1,430.70 µs) and a lower average interrupt latency (10.10 µs versus 22.44 µs), while both systems remained within the conventional real-time suitability threshold. The findings indicate that the observed performance differences are entangled with processor generation and other hardware-related effects. Therefore, a dual-boot configuration on identical hardware is recommended in future studies to isolate the effect of the operating system version.
Tinjauan Literatur Terhadap Tantangan Etika dalam Penerapan Kecerdasan Buatan di Kewirausahaan Nurfidah Dwitiyanti; Dewi Anjani; Yusuf Kurnia; Fauzi; Yan Everhard Riwurohi
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 03 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i03.1306

Abstract

This Systematic Literature Review aims to identify and analyze ethical challenges arising from the implementation of artificial intelligence (AI) in entrepreneurship. The study employed the PICOC framework and PRISMA 2020 protocol for conducting systematic searches across Scopus and Google Scholar databases covering 2021–2026.  From 430 identified articles, 43 articles met the stringent selection criteria and  quality assessment standards and were included in the analysis. The findings reveal  that principal ethical challenges encompass algorithmic bias, lack of transparency, system reliability, and accountability gaps in  AI-based decision-making. The FAIR principles (Fairness, Accountability,  Interpretability, Responsibility) emerged as a critical and comprehensive framework  for advancing responsible AI adoption in business ecosystems. This research provides actionable recommendations for entrepreneurs, policymakers, and researchers to develop fair and sustainable technology environments.
Co-Authors Dewi Anjani Ekie Revsie Akbar Fauzi Hendri Irawan Irawan Irawan Muhammad Fadhil Rachman Nurfidah Dwitiyanti Painem, Painem Tiara Fitriana Try Mulyoto Yusuf Kurnia