Article Per Year (5 Year)
p-Index From 2020 - 2025
0.61
P-Index
This Author published in this journals
All Journal Social Engagement: Jurnal Pengabdian Kepada Masyarakat IPSSJ
Wibowo, Bayu Sandi
Unknown Affiliation
Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Public Health Social Sciences Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Workshop Pengembangan Kompetensi Mahasiswa Pada Implementasi Teknik Peramalan Kuantitatif Berbasis Software POM QM For Windows Junianto, Dwi; Suseno, Pangki; Mahariani, Yeni Roha; Wibowo, Bayu Sandi
Social Engagement: Jurnal Pengabdian Kepada Masyarakat Vol. 2 No. 2 (2024): Maret 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Business competitiveness today is influenced by factors both internally and externally. For this reason, an effective and efficient operation and production strategy is required. These activities require demand estimation to be one of the keys in production planning and control. This means that forecasting will drive business decisions on the importance of quickly and accurately capturing information about demand. The output of the forecasting value can be the basis of production, capacity, and scheduling systems, financial planning, marketing and labor. Thus, the implementation of a forecasting method that is suitable for the data pattern and the level of accuracy or accuracy becomes an important instrument.
Workshop Pengembangan Kompetensi Mahasiswa Pada Implementasi Teknik Peramalan Kuantitatif Berbasis Software POM QM For Windows Junianto, Dwi; Suseno, Pangki; Mahariani, Yeni Roha; Wibowo, Bayu Sandi
Social Engagement: Jurnal Pengabdian Kepada Masyarakat Vol. 2 No. 2 (2024): Maret 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/se.v2i2.9116

Abstract

Business competitiveness today is influenced by factors both internally and externally. For this reason, an effective and efficient operation and production strategy is required. These activities require demand estimation to be one of the keys in production planning and control. This means that forecasting will drive business decisions on the importance of quickly and accurately capturing information about demand. The output of the forecasting value can be the basis of production, capacity, and scheduling systems, financial planning, marketing and labor. Thus, the implementation of a forecasting method that is suitable for the data pattern and the level of accuracy or accuracy becomes an important instrument.
PREDIKSI HASIL PRODUKSI SUSU KEDELAI DI DESA MANGUNREJO MENGGUNAKAN METODE REGRESI LINIER DAN FAULT TREE ANALYSIS Wibowo, Bayu Sandi
Integrative Perspectives of Social and Science Journal Vol. 2 No. 04 September (2025): Integrative Perspectives of Social and Science Journal
Publisher : PT Wahana Global Education

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Susu kedelai merupakan minuman nabati bergizi yang digemari di Indonesia, namun pada UMKM produsen di Desa Mangunrejo, Kecamatan Ngadiluwih, Kediri, terjadi penurunan produksi yang perlu dianalisis agar dapat dirumuskan strategi perbaikannya. Penelitian ini bertujuan memprediksi tren produksi enam bulan ke depan serta mengidentifikasi faktor penyebab utama penurunan. Metode yang digunakan adalah regresi linier sederhana dengan variabel dependen volume produksi (liter/bulan) dan variabel independen waktu (Januari 2023–Desember 2024), dilengkapi Fault Tree Analysis (FTA) untuk penelusuran akar masalah. Data diperoleh melalui observasi proses, wawancara pemilik/karyawan, dokumentasi, dan catatan produksi. Hasil estimasi menghasilkan persamaan  Y = 801,23 − 20,97X yang menunjukkan laju penurunan 20,97 liter per periode; akurasi model tergolong baik dengan MAPE 13,83%. Proyeksi Januari–Juni 2025 menunjukkan penurunan dari 276,98 menjadi 172,13 liter. Analisis terpisah pada harga kemasan 250 ml menghasilkan  Y = 272,10 + 67,57X yang mengindikasikan tren kenaikan harga. Melalui FTA, faktor dominan yang memicu penurunan adalah keterbatasan tenaga kerja terampil, ketidakstabilan mutu bahan baku, belum adanya standar proses baku, perawatan mesin yang minim, dan promosi yang kurang efektif. Rekomendasi mencakup rekrutmen/pelatihan, standarisasi proses, perbaikan manajemen bahan baku, pemeliharaan peralatan, dan penguatan pemasaran digital.
Co-Authors Dwi Junianto Pangki Suseno Yeni Roha Mahariani