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Penjadwalan Produksi Optimal Air Mineral Kemasan Gelas Menggunakan Pendekatan jadwal Induk Produksi Santosa, Sesar Husen; Indrawan, Purana; Apriliani, Fany; Siskandar, Ridwan; Nabil Bayyinah, Aulia; Septiyaningsih, Lutfi
Jurnal Sains Indonesia Vol. 4 No. 3 (2023): Vol 4 No 3 (2023): Volume 3, Nomor 3, 2023 (November)
Publisher : PUSAT SAINS INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59897/jsi.v4i3.169

Abstract

The Stock buildup problem has led to an increase in product rejects at PT Marina. This condition is caused because the company cannot identify fluctuating demand conditions and only focuses on Customer Orders. Based on this problem, an analysis was carried out regarding demand using the Multiplicative decomposition forecasting technique. The company has three seasons in the demand for glass bottled water products. Based on the demand forecasting analysis results, the demand regression model is demand (y) = 153052 + 139.88 period (x). Based on the regression results, the demand forecast results are 159,819 boxes. The results of production schedules are based on the results of demand forecasting, so the Stock condition in the company is obtained, namely 3430 - 4760 boxes/week, and this condition is the optimal condition because it is below the maximum product inventory capacity in the company.
Peramalan Permintaan Sepatu Sandal pada UMKM Mulyaharja Kota Bogor Irawan, Suhendi; Sinaga, Antonya Rumondang; Kartinawati, Annisa; Hidayat, Agung Prayudha; Dardanella, Derry; Santosa, Sesar Husen; Indrawan, Purana; Apriliani, Fany; Yusri, Doni; Wijaya, Hendri; Pangestu, Fattah Jati; Rahmawati, Novia
Go-Integratif : Jurnal Teknik Sistem dan Industri Vol 5 No 02 (2024): Go-Integratif : Jurnal Teknik Sistem dan Industri
Publisher : Engineering Faculty at Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35261/gijtsi.v5i02.12534

Abstract

MSMEs are one of the important sectors to support economic growth. In the midst of increasingly tight competition, business actors need to implement effective strategies to anticipate fluctuations in market demand so that accurate demand forecasting is a crucial step to ensure optimal stock availability. Currently, MSMEs only make predictions based on instinct and experience, not based on mathematical calculations, so that sometimes there is overstock or understock of the goods produced. This study analyzes the demand for sandals and shoes at MSME Mulyaharja, Bogor City using the moving average and exponential smoothing methods. The purpose of this study is to determine the most accurate forecasting method to optimize inventory management and minimize the risk of shortages or excess stock. Historical sales data for one year is used as the basis for the analysis. The results of the comparative analysis of forecasting errors show that the Moving average method with 2 periods provides the most accurate results, with a Mean Absolute Deviation (MAD) value of 54, Mean Squared Error (MSE) of 3380, and Mean Absolute Percentage Error (MAPE) of 18%. The conclusion of this study is that the 2-period Moving average method is the best method to be applied to Mulyaharja UMKM, by applying this forecasting method, overstock and understock of product inventory can be reduced because the amount of production produced is close to the amount of customer demand.
Evaluation of Rengginang MSME Production Performance with the Implementation of Quality Function Deployment (QFD) Irawan, Suhendi; Adisty, Revinia; Dardanella, Derry; Indrawan, Purana; Risyahadi, Sazli Tutur; Wijaya, Hendri; Kartinawati, Annisa; Apriliani, Fany
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 22, No 2 (2025): June 2025
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v22i2.37501

Abstract

This study aims to evaluate the production performance of Micro, Small, and Medium Enterprises (MSMEs) in rengginang production using the Quality Function Deployment (QFD) approach. Rengginang is a traditional Indonesian snack made from sticky rice, which has economic and cultural value but faces challenges in production consistency, hygiene, and capacity due to manual processing methods. The QFD method was applied to translate six key customer needs—such as production speed, hygiene, capacity, consistency, quality control, and product variation flexibility—into technical characteristics through the House of Quality (HoQ) matrix. Results showed that the most critical production need was achieving a drying process of no more than one day, followed by hygienic handling. These were translated into technical priorities such as high-speed drying machines and closed-drying systems. The relative weight analysis indicated that these technical improvements had a high impact on production performance with relatively moderate implementation complexity. This study provides MSME actors with a structured model to improve production efficiency and competitiveness based on customer-oriented planning. Keywords: Quality Function Deployment (QFD), House of Quality, MSMEs, Rengginang, Production Performance
Peningkatan Awareness Implementasi 5R pada UMKM Sepatu di Desa Mulyaharja Kota Bogor Pangestu, Fattah Jati; Hidayat, Agung Prayudha; Kartinawati, Annisa; Dardanella, Derry; Rahmawati, Novia; Santosa, Sesar Husen; Indrawan, Purana; Apriliani, Fany; Yusri, Doni; Sinaga, Antonya Rumondang; Pamungkas, Genta Yoga
Jurnal Pengabdian Masyarakat Bhinneka Vol. 4 No. 2 (2025): Bulan November
Publisher : Bhinneka Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58266/jpmb.v4i2.814

Abstract

Pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kesadaran pelaku Usaha Mikro, Kecil, dan Menengah (UMKM) sepatu di Desa Mulyaharja, Kota Bogor, terhadap penerapan budaya kerja 5R (Ringkas, Rapi, Resik, Rawat, dan Rajin) sebagai upaya peningkatan efisiensi operasional dan keberlanjutan usaha. Kegiatan ini menggunakan pendekatan partisipatif dengan metode identifikasi kebutuhan, pelatihan, serta evaluasi berbasis pre-test dan post-test. Sebanyak 15 karyawan UMKM terlibat sebagai responden, menunjukkan peningkatan signifikan dari nilai rata-rata pre-test sebesar 35 menjadi 95 pada post-test. Hasil observasi menunjukkan adanya peningkatan dalam awareness implementasi 5R di lingkungan kerja. Program ini membuktikan bahwa implementasi budaya kerja 5R dapat dilakukan secara sederhana, efektif, dan tanpa memerlukan biaya tambahan yang signifikan. Oleh karena itu, disarankan agar program serupa dilaksanakan secara berkala, didukung oleh pembentukan tim internal 5R dan pendampingan berkelanjutan dari perguruan tinggi, guna menjamin keberlanjutan implementasi serta menjadikan Mulyaharja sebagai model bagi UMKM sektor lainnya.