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All Journal Jurnal Multidisiplin Dehasen (MUDE) Journal Industrial Engineering and Management (JUST-ME)
Osep Hijuzaman
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Pengaruh Media Sosial dan Promosi Penjualan terhadap Minat Beli Konsumen pada E-commerce Shopee Osep Hijuzaman; Farid Rizkullah; Gita Fitri Hasanah; Ilham Maulana Dzakky
Journal Industrial Engineering and Management (JUST-ME) Vol. 6 No. 02 (2025): Journal Industrial Engineering and Management (JUST-ME)
Publisher : Program Studi Teknik Industri Fakultas Teknik Universitas Islam Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47398/just-me.v6i02.147

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh media sosial dan promosi penjualan terhadap minat beli konsumen pada E-commerce Shopee. E-commerce Shopee telah menjadi salah satu platform utama dalam mempromosikan produk, sementara promosi penjualan berfungsi sebagai strategi untuk menarik perhatian konsumen. Metode yang digunakan dalam penelitian ini adalah Regresi Linear Berganda, yang memungkinkan peneliti untuk mengukur pengaruh kedua variabel independen yaitu media sosial dan promosi penjualan terhadap variabel dependen, yaitu minat beli konsumen. Data dikumpulkan melalui kuesioner yang disebarkan kepada 96 responden yang aktif menggunakan E-commerce Shopee. Hasil analisis menunjukkan bahwa persamaan regresi pada penelitian ini adalah Y = 2,737 + 0,487X1 + 0,428X2. Berdasarkan analisis korelasi didapatkan korelasi yakni 0,842 menunjukkan kekuatan hubungan yang kuat, mendekati korelasi sempurna. Sedangkan berdasarkan hasil indeks determinasi didapatkan presentase sebesar 70,9% yang berarti bahwa perubahan dalam variabel dependen dapat dijelaskan oleh perubahan pada variabel independen. Temuan ini memberikan wawasan bagi pemasar untuk merancang strategi pemasaran yang lebih efektif dengan memanfaatkan media sosial dan promosi penjualan secara optimal.
Penerapan Metode Mean Time Between Failure dan Mean Time to Repair dalam Pemeliharaan Prediktif Mesin Compressor Kobelco Dengan Integrasi Sistem Monitoring Berbasis Internet of Things (Iot) di PT Suzuki Indomobil Motor Wisnu Dwi Wibowo; Yayan Heru Haerudin; Osep Hijuzaman
Jurnal Multidisiplin Dehasen (MUDE) Vol 5 No 1 (2026): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/mude.v5i1.9171

Abstract

Predictive maintenance is an important strategy in maintaining optimal industrial machine performance. This study aims to apply the Mean Time Between Failure (MTBF) and Mean Time To Repair (MTTR) methods as analysis tools in the predictive maintenance system of the Kobelco Compressor machine at PT Suzuki Indomobil Motor. By integrating an Internet of Things (IoT)-based monitoring system, machine operational data can be collected and analyzed in real-time to detect potential damage before a functional failure occurs. This method helps in determining more accurate and efficient maintenance time intervals. The results of the study show that the use of MTBF and MTTR integrated with the IoT system can increase maintenance effectiveness, reduce machine downtime, and support data-based decision making. This implementation is expected to increase operational efficiency and reliability of the overall production system.
Co-Authors Farid Rizkullah Gita Fitri Hasanah Ilham Maulana Dzakky Wisnu Dwi Wibowo Yayan Heru Haerudin