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All Journal International Journal Software Engineering and Computer Science (IJSECS) Jurnal Mahasiswa Ilmu Komputer
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.
Co-Authors Ekie Revsie Akbar Hendri Irawan Irawan Irawan Muhammad Fadhil Rachman Painem, Painem Tiara Fitriana Try Mulyoto