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Analisis Optimasi Keuntungan Produksi Menggunakan Program Linier Metode Simpleks pada Kasus Maksimasi di UMKM Lumpia Basah & Kwetiau Van Java Raisa Rahmania; Risma Febriyanti; Suci Rahma Putri; Somadi Somadi
JURNAL ILMIAH EKONOMI, MANAJEMEN, BISNIS DAN AKUNTANSI Vol. 3 No. 4 (2026): JULI
Publisher : CV. KAMPUSA AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jemba.v3i4.2773

Abstract

This research was motivated by the limited availability of raw materials faced by Lumpia Basah & Kwetiau Van Java MSME in determining the optimal production quantity to maximize profit. Inappropriate production planning may lead to inefficient utilization of available resources. This study aims to determine the optimal production combination of Lumpia Basah and Kwetiau using Linear Programming with the Simplex Method. The research employed a descriptive quantitative approach. Primary data were obtained through observation and interviews with the business owner, while secondary data were collected through a literature review of relevant books and scientific journals. The decision variables in this study were the production quantities of Lumpia Basah and Kwetiau, with the objective of maximizing profit. The constraints consisted of the limited availability of eggs, bean sprouts, and Chinese cabbage as raw materials. The model was solved mathematically using the Simplex Method and validated using POM-QM for Windows software. The results showed that the optimal production combination was 33 packs of Lumpia Basah and 116 packs of Kwetiau per day, generating a maximum daily profit of IDR 483,120. Both the mathematically calculation and the POM-QM for Windows software produced identical results, indicating that the Simplex Method is effective as a decision-making tool for production planning to improve raw material utilization efficiency and maximize the profitability of MSMEs.
Analisis Perbandingan Metode Forecasting Dalam Memprediksi Permintaan Celana Salur ISTWEAR Selvy Rahmadani; Soviatul Azkiya; Dhea Rahma Dewi; Somadi Somadi
JURNAL ILMIAH EKONOMI, MANAJEMEN, BISNIS DAN AKUNTANSI Vol. 3 No. 4 (2026): JULI
Publisher : CV. KAMPUSA AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jemba.v3i4.2839

Abstract

Abstract. Small-scale fashion businesses like ISTWEAR often struggle to estimate market demand due to erratic sales fluctuations; consequently, unplanned production risks leading to either overstocking or product shortages. This study aims to estimate the demand for ISTWEAR’s striped trousers (*Celana Salur*) for June 2026 using forecasting techniques. Sales data from January to May 2026 for three color variants-RSN Blue, Pink, and Black-were analyzed using Moving Average, Exponential Smoothing, and Linear Regression methods, with accuracy evaluated via MAD, MSE, and MAPE. The results indicate that Linear Regression yielded the lowest MSE values ​​across all variants, making it the optimal method; it produced demand estimates of 1,583 units (RSN Blue), 1,089 units (Pink), and 1,128 units (Black) for June 2026. These findings confirm that Linear Regression is the most suitable forecasting method for data exhibiting consistent trend patterns and can serve as a practical basis for production planning decisions in fashion businesses.
OPTIMALISASI KINERJA KARYAWAN DI KONVEKSI ARENSA JAYA VARIASI MENGGUNKAN ANALISIS PENUGASAN Rini Merdiani; Dania Nuraeni; Sri Laila Nurfatihani; Somadi Somadi
JURNAL ILMIAH EKONOMI, MANAJEMEN, BISNIS DAN AKUNTANSI Vol. 3 No. 4 (2026): JULI
Publisher : CV. KAMPUSA AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jemba.v3i4.2842

Abstract

Arensa Jaya Variasi Convection, a small and medium-sized garment manufacturing enterprise SME, faces challenges in its employee Assignmentsystem because the allocation of workers to four workstations pattern making, cutting, sewing, and packing is still carried out using conventional practices and is not based on each employee's skills and task completion time. This condition Results in an uneven distribution of workload, increased production time, and inefficient operational costs. This study aims to optimize employee assignments at Arensa Jaya Variasi Convection. The research employed a descriptive quantitative approach using the Hungarian Method. The Results indicate that the optimal Assignmentis Sopiyan to the pattern-making workstation 20 minutes, Fajrin to the cutting workstation 25 minutes, Deni to the sewing workstation 90 minutes, and Dian to the packing workstation 15 minutes, Resulting in a total completion time of 150 minutes. These findings demonstrate that the Hungarian Method is effective in optimizing employee assignments in the garment manufacturing operations of Arensa Jaya Variasi.
Penerapan Metode Hungarian Dalam Optimalisasi Penugasan Karyawan Sebagai Upaya Peningkatan Kualitas Pelayanan Pada Tirtamulya Cafe' Frelydia Legianadirao; Feni Shafra Zahro; Hana Ropipah; Somadi Somadi
JURNAL RUMPUN MANAJEMEN DAN EKONOMI Vol. 3 No. 4 (2026): Juli
Publisher : CV. KAMPUS AKADEMIK PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jrme.v3i4.11965

Abstract

Tirtamulya Cafe is a Micro, Small, and Medium Enterprise (MSME) operating in the food and beverage sector. Currently, the allocation of employee tasks at the cafe does not align with individual capabilities, resulting in inefficient service processes and customer complaints. This study aims to determine the most effective task assignment by applying a descriptive quantitative approach using the Hungarian Method. Data were collected through observation and interviews. The results indicate a minimum total time of 13 minutes, with the following task allocation: Ananta as a waiter (7 minutes), Reva at the bar (3 minutes), and Reza as the cashier (3 minutes). These findings demonstrate that the method enables more accurate job placement, thereby enhancing service efficiency and supporting Tirtamulya Cafe's operational performance.
Analisis Efisiensi Sistem Antrean Pelanggan Pada Kasir Toko Oleh-Oleh Kartika Sari Pusat Paskal Bandung Mutiara Maharani; Dira Alma Laysani; Melisa Julianti; Somadi Somadi
JURNAL RUMPUN MANAJEMEN DAN EKONOMI Vol. 3 No. 4 (2026): Juli
Publisher : CV. KAMPUS AKADEMIK PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jrme.v3i4.12047

Abstract

This study was motivated by the high volume of queues at the Kartika Sari store—particularly during peak times on Fridays, Saturdays, and Sundays—which results in long wait times and potentially diminishes customer satisfaction. The study aims to evaluate the performance of the cashier queuing system at the Kartika Sari Paskal Bandung flagship store under current conditions (with two active cashiers) and to analyze the impact of increasing the number of active cashiers to three on service efficiency. A quantitative approach utilizing the M/M/s queuing model was employed, with data collected through direct field observation. POM-QM for Windows software was used to ensure the accuracy of the results. The findings indicate an average customer arrival rate (λ) of 45 people per hour, while the service capacity per cashier (μ) is 25 people per hour. Under current conditions with two active cashiers, the average service rate is 9.47 customers per hour, with an average queue wait time (Wq) of 10.23 minutes. Optimization simulations demonstrated that increasing the number of active cashiers to three reduces the wait time to 0.71 minutes (42 seconds). The study concludes that activating three cashier units during peak hours is a strategic move to eliminate service bottlenecks and enhance operational efficiency. Penelitian ini dilatarbelakangi oleh tingginya tingkat antrean di Toko Kartika Sari, khususnya pada hari Jumat, Sabtu, dan Minggu sebagai waktu puncak, yang menyebabkan lamanya waktu tunggu dan berpotensi menurunkan tingkat kepuasan pelanggan. Adapun penelitian ini bertujuan untuk mengevaluasi kinerja sistem antrean kasir di Toko Kartika Sari Pusat Paskal Bandung pada kondisi eksisting dengan dua kasir aktif, serta menganalisis dampak penambahan satu unit kasir menjadi tiga kasir aktif terhadap efisiensi pelayanan. Penelitian menggunakan pendekatan kuantitatif dengan metode teori antrean model (M/M/s). Data diperoleh melalui observasi langsung di lapangan. Untuk keakuratan hasil pada penelitian ini menggunakan software POM-QM for Windows. Hasil penelitian menunjukkan tingkat kedatangan rata-rata pelanggan (λ) mencapai 45 orang per jam, sedangkan kapasitas pelayanan per kasir (μ) adalah 25 orang per jam. Pada kondisi saat ini ada 2 kasir aktif sementara rata-rata pelayanan pelanggan adalah 9,47 orang per jam dengan rata-rata waktu tunggu antrean (Wq) sebesar 10,23 menit. Melalui simulasi optimasi, penambahan menjadi 3 kasir aktif terbukti memangkas waktu tunggu menjadi 0,71 menit (42 detik). Penelitian ini menyimpulkan bahwa pengaktifan 3 unit kasir pada jam sibuk merupakan strategi strategis untuk mengeliminasi bottlneck pelayanan dan meningkatkan efisiensi operasional.
Analisis Sistem Antrian dengan Model M/M/1 dan Model M/M/S (Studi Kasus : Seblak Mamah Saleh Cabang 2 Bandung) Wulandari Nur Fitri; Rainnada Shalma; Indri Ratna Ayu; Somadi Somadi
Indonesia Economic Journal Vol. 2 No. 2 (2026): JULI-DESEMBER
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/h59yfs41

Abstract

High public demand for Seblak Mamah Saleh (Bandung Branch 2) results in long queues at certain times, negatively impacting customer satisfaction and operational efficiency. This study aims to analyze the characteristics and performance of the queuing system at this location. The research employs queuing theory, specifically the M/M/1 and M/M/S models. Analysis using the M/M/1 model revealed a system utilization value of 1.93, indicating an unstable system where the queue grows indefinitely. To address this, the number of cashiers was increased from one to two. The M/M/S model analysis showed that system utilization dropped to 0.963, with a 0.02 probability of the system being empty. Additionally, the average number of customers in the system was 26.82 (with 24.90 in the queue), the average time spent in the system was 20.37 minutes (with 18.91 minutes spent waiting in the queue), and the probability of a customer having to wait was 94.5%. Although the probability of waiting remains relatively high, the addition of a cashier successfully stabilized the queuing system
Analisis Pengendalian Persediaan Deterjen dengan Metode Economic Order Quantity, Safety Stock, dan Reorder Point pada Usaha Qirani Laundry (Periode 2025) Rita Devina; Damayanti Damayanti; Trias Rachmi Kinanti Hapidin; Somadi Somadi
Abdi Cendekia : Jurnal Pengabdian Masyarakat Vol 5 No 3 (2026): September
Publisher : Yayasan Zia Salsabila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61253/abdicendekia.v5i3.1078

Abstract

Qirani Laundry merupakan salah satu usaha yang bergerak di bidang jasa pencucian pakaian. Dalam menjalankan kegiatan operasionalnya, Qirani Laundry menghadapi permasalahan dalam pengendalian persediaan deterjen. Selama ini, pengadaan deterjen masih dilakukan berdasarkan perkiraan pemilik tanpa menggunakan metode perhitungan yang sistematis. Oleh karena itu, tujuan penelitian ini adalah untuk mengetahui jumlah persediaan deterjen yang optimal pada Qirani Laundry. Hasil penelitian menunjukkan bahwa jumlah pemesanan optimal adalah 55 liter per pesanan, dengan Safety Stock sebesar 0,1 liter dan Reorder Point sebesar 0,9 liter. Penerapan metode ini menghasilkan total biaya persediaan sebesar Rp126.086,36 per tahun, jauh lebih hemat dibandingkan kebijakan lama sebesar Rp195.800 per tahun setara penghematan Rp69.713,64 atau 35,60%. Temuan ini menegaskan bahwa penerapan EOQ, Safety Stock, dan ROP mampu meningkatkan efisiensi pengendalian persediaan deterjen pada Qirani Laundry.