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All Journal Equator Journal of Management and Entrepreneurship The Journal of Experimental Life Sciences (JELS) Manajemen Sumber Daya Manusia Jurnal Keuangan dan Perbankan The Indonesian Accounting Review JBTI : Jurnal Bisnis : Teori dan Implementasi JIKO (Jurnal Informatika dan Komputer) AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat Indikator: Jurnal Ilmiah Manajemen & Bisnis Jurnal Ilmiah Manajemen Kesatuan Jurnal EMA (Ekonomi Manajemen Akuntansi) Jurnal ABM Mengabdi Journal of Scientech Research and Development Journal of International Conference Proceedings
Agus Sukarno
Pascasarjana Fakultas Kehutanan Universitas Gajahmada
Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Medicine & Pharmacology Neuroscience Social Sciences

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Klasifikasi Radio Siaran FM Berdasarkan Data IQ Menggunakan Convolutional Neural Networks Sukarno, Agus; Setyanto, Arief; Nasiri, Asro
JURNAL INFORMATIKA DAN KOMPUTER Vol 9, No 3 (2025): Oktober 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat - Universitas Teknologi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jiko.v9i3.1978

Abstract

Pengawasan spektrum siaran FM secara real-time memerlukan teknik canggih, pendekatan berbasis klasifikasi sinyal telah terbukti meningkatkan ketepatan deteksi dibandingkan metode manual. Penelitian ini mengembangkan dan membandingkan tiga arsitektur deep learning - CNN 5-Layers, CNN-BiLSTM, dan CNN-Transformer - untuk mengklasifikasikan pengguna siaran radio FM berdasarkan data IQ. Data sinyal dikumpulkan dari 16 pemancar FM menggunakan SDR dan diolah menjadi 80.000 sampel seimbang. Model-model ini dievaluasi berdasarkan akurasi klasifikasi dan waktu inferensi. Hasil eksperimen menunjukkan bahwa CNN-BiLSTM memberikan akurasi tertinggi sebesar 98,96% namun dengan waktu inferensi relatif lama sekitar 62 detik. Sementara itu, CNN 5-Layers memiliki waktu klasifikasi tercepat sekitar 10 detik dengan akurasi tinggi sebesar 98,18%, dan CNN-Transformer paling lambat sekitar 120 detik dengan akurasi sebesar 97,72%. Mengingat waktu klasifikasi per batch harus lebih pendek daripada laju pengambilan data sekitar 2 ms per sampel, hanya CNN 5-Layers yang memenuhi persyaratan pemantauan spektrum secara real-time.
Physical Properties of Turpentine and Gum Rosin Pinus merkusii Jungh et de Vriese Tapped Oleoresin by Borehole Method Sukarno, Agus
The Journal of Experimental Life Science Vol. 8 No. 1 (2018)
Publisher : Graduate School, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (974.919 KB) | DOI: 10.21776/ub.jels.2018.008.01.07

Abstract

This study was conducted to determine the physical properties of turpentine and gum rosin derived from oleoresin tapped with borehole method. The research material is derived oleoresin from Aceh provenance pine and Jember landrace. The test results of the physical properties of turpentine are as follows; color: clear, specific gravity 0.84-0.85, refraction index 1.46, negative fatty oil, flash point 34-35.5°C, residual evaporation 1.2-1.6%, and optical round + 32.2-32.4o. Result of test of physical properties of gum rosin: color X (main), softening point 76.0-76.5°C, impurity 0.0014-0.0051%, acid value 179.5-188.5, saponification value 188.7-194.3, iodine number 9.6-9.8, ash content 0.001-0.005% and volatile turpentine content 2.1-2.4%. Keywords: Aceh provenance pine, borehole method, gum rosin, turpentine.
The Influence of Web Design Quality and Brand Image on Repurchase Intention with Customer Satisfaction as Mediating Variable Hadioetomo, Hadioetomo; Sukarno, Agus; Sutanto, Hery; Liestyana, Yuli; Haniyah, Izah Nur
Jurnal Ilmiah Manajemen Kesatuan Vol. 14 No. 2 (2026): JIMKES Edisi March 2026
Publisher : LPPM Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jimkes.v14i2.3885

Abstract

Technological and internet advancements have transformed entertainment consumption patterns, particularly through streaming platforms such as Netflix. Despite having a strong brand image, Netflix faces challenges in maintaining customer loyalty. This study aims to examine the influence of web design quality and brand image on customer satisfaction and repurchase intention, with customer satisfaction serving as a mediating variable. A quantitative approach was employed using an online survey. Data were collected from 104 Generation Z respondents in Yogyakarta who had active Netflix subscriptions, using purposive sampling. Data analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4.0. The results indicate that web design quality and brand image positively affect both customer satisfaction and repurchase intention. Moreover, customer satisfaction was found to mediate the relationship between web design quality and brand image on repurchase intention, strengthening their effects. These findings highlight the critical role of digital platform quality and brand reputation in fostering user loyalty. The study recommends that streaming service providers enhance platform functionality and usability while maintaining a strong brand image to improve customer satisfaction and retention.
Co-Authors Akbar, M. Taufik Ambarwati, Sri Dwi Ari Anisa Zairina Arief Setyanto Dewantra, Nicholas Naufal Eny Purwandari Fadjaritha, Feby Fatmayuni, Ida Ayu Ferdian, Muh. Agus Gunawan Nusanto, Gunawan Hadi Oetomo Haniyah, Izah Nur Haryono, Slamet Trisno Herlianto, Didit Herliato, Didit Hertanto, Adi Hery Sutanto Karimah, Iffa KHOIRUL HIKMAH - Kusuma, Alif Faiq Lestari, Rina Ika Nadeak, Beatrice Sarah Natalia Nasiri, Asro Nursyahbani, Lidya Pantur, Venansius Hugo Prasetyo, Edo Budi Purnama, Sigit Purwanti, Gettik Andri Sri Sulastri Sriyanto, Edi Tri Wahyuningsih Wahyu Istiqomah, Intan Yuli Liestyana