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All Journal Jurnal Ilmiah Manajemen dan Bisnis (JIMB) Journal of Advanced in Information and Industrial Technology (JAIIT)
Azhari, Sulaiman
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Industrial & Manufacturing Engineering Other

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Prediksi Penyebaran COVID-19 Kota Surabaya dengan Simulasi Monte Carlo Albana, Abduh Sayid; Azhari, Sulaiman
Journal of Advances in Information and Industrial Technology Vol. 2 No. 1 (2020): May
Publisher : LPPM Telkom University Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (534.533 KB) | DOI: 10.52435/jaiit.v2i1.40

Abstract

Penelitian ini membahas tentang prediksi penyebaran Corona Virus Diseases 19 (COVID-19) di wilayah kota Surabaya. Metode yang digunakan adalah Simulasi Monte Carlo. Metode tersebut digunakan untuk mengetahui estimasi dari jumlah pasien ODP (Orang Dalam Pengamatan), PDP (Pasien Dalam Pengawasan), positif terinfeksi, sembuh, dan meninggal. Simulasi dilakukan dengan bantuan software Argo Simulation dan dilakukan sebanyak 10.000 kali pengulangan. Dari hasil simulasi diperoleh data prediksi jumlah pasien COVID-19 dengan besaran galat tertentu. Galat tersebut memiliki tingkat galat berupa under-prediction dan over-prediction. Nilai galat terbesar dari under prediction adalah 11% sedangkan untuk over-prediction sebesar 23%. Hasil prediksi ini dapat digunakan sebagai bahan masukkan untuk penelitian-penelitian terkait yang membutuhkan prediksi jumlah pasien COVID-19 untuk wilayah Surabaya.
Understanding Green Product Purchase Decisions Among Generation Z in Indonesia: An Analysis Using Structural Equation Modelling Azhari, Sulaiman; Albana, Abduh Sayid; Zunaidi, Rizqa Amelia
Jurnal Ilmiah Manajemen dan Bisnis Vol 11, No 3 (2025): Jurnal Ilmiah Manajemen dan Bisnis
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jimb.v11i3.33721

Abstract

Indonesia faces significant environmental challenges, with plastic waste pollution remaining a major issue. To address this, businesses are increasingly offering green products, yet consumer adoption—especially among Generation Z—remains limited. This study aims to identify the key factors influencing green product purchase decisions among Generation Z in Indonesia. A quantitative approach was employed, collecting data from 500 Gen Z respondents who have experience using green products. Structural Equation Modeling (SEM) was used to analyze the relationships among variables, including green attitude, green value, green knowledge, price, performance, convenience, preference, perception, purchase decision, and utility. The results show that green value, green knowledge, and performance significantly influence preferences and perceptions, which in turn positively affect purchase decisions and perceived utility. However, green attitude, price, and convenience do not have a significant direct effect. These findings suggest that increasing green value, knowledge, and product performance can enhance green product adoption among Indonesian youth. The study provides practical insights for companies and policymakers to design more effective strategies targeting Generation Z consumers and contributes to the broader understanding of sustainable consumption behavior in emerging markets.
Co-Authors Abduh Sayid Albana Zunaidi, Rizqa Amelia