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All Journal VALENSI Matematika: Jurnal Teori dan Terapan IJEBD (International Journal Of Entrepreneurship And Business Development) International Journal of Supply Chain Management International Journal of Research in Community Services International Journal of Global Operations Research International Journal of Quantitative Research and Modeling Jurnal Matematika Integratif In Search (Informatic, Science, Entrepreneur, Applied Art, Research, Humanism)
Julita Nahar
Program Studi Matematika, Fakultas Matematika Dan Pengetahuan Alam, Universitas Padjadjaran
Arts Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Journal : International Journal of Quantitative Research and Modeling

 1 
Inventory Control for MSME Products Using the Q Model with Lost Sales Condition Based on Products Sales Forecasting Dita Aulia Nissa; Sudradjat Supian; Julita Nahar
International Journal of Quantitative Research and Modeling Vol 4, No 1 (2023)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v4i1.417

Abstract

Micro, Small and Medium Enterprises (MSMEs) have an important role in economic development in order to achieve thq quality of economic growth. Intense competition among MSMEs requires MSMEs to have a good inventory control that can help them minimize costs and maximize profits. One of the MSMEs that often experiences problems in inventory control is Sabun Bening Official. To solve the inventory problems in Sabun Bening Official, Holt-Winter Exponential Additive forecasting method is used as a guide to predict future product demand because product demand graph is seasonal and has trend pattern. After getting the value of product demand forecast, inventory control calucaltions are carried out using the Q Model probabilistic inventory method with lost sales condition. The uncertain and fluctuating demand causing the inventory system in Sabun Bening Official is probabilistic and the company will lose sales if it does not able to fulfill customer demands. Based on the research results, product forecasting for the coming period and inventory control policies which include the optimal number of product order, safety stock, reorder point, and product inventory costs can be obtained.
Apparel Production Optimization Model with Branch and Bound Method (Case Study: Sawargi Jersey Confectionery, West Java) Athaya Alyanisa; Julita Nahar; Nursanti Anggriani
International Journal of Quantitative Research and Modeling Vol 4, No 1 (2023)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v4i1.412

Abstract

The production optimization model can find optimal results and maximum profits from a production activity by considering certain limitations. In this research, a production optimization model was created based on data on apparel production in UMKM (Usaha Mikro, Kecil, dan Menengah) Konfeksi Sawargi Jersey in West Java by applying the Integer Linear Programming model and solving it using the Branch and Bound Method with the help of Software Python. This research was conducted because there are many business actors engaged in the same field, especially in the apparel and sports sectors, considering the problems that are often faced by UMKM owners, such as raw material supplies, production time, production costs, selling prices, production profits, and production limits, minimum and maximum production. Based on this study's results, the Branch and Bound Method application to optimize apparel production obtains more optimal results and maximum profits than the actual production carried out by UMKM Konfeksi Sawargi Jersey.
Apparel Production Optimization Model with Branch and Bound Method (Case Study: Sawargi Jersey Confectionery, West Java) Athaya Alyanisa; Julita Nahar; Nursanti Anggriani
International Journal of Quantitative Research and Modeling Vol. 4 No. 1 (2023): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v4i1.412

Abstract

The production optimization model can find optimal results and maximum profits from a production activity by considering certain limitations. In this research, a production optimization model was created based on data on apparel production in UMKM (Usaha Mikro, Kecil, dan Menengah) Konfeksi Sawargi Jersey in West Java by applying the Integer Linear Programming model and solving it using the Branch and Bound Method with the help of Software Python. This research was conducted because there are many business actors engaged in the same field, especially in the apparel and sports sectors, considering the problems that are often faced by UMKM owners, such as raw material supplies, production time, production costs, selling prices, production profits, and production limits, minimum and maximum production. Based on this study's results, the Branch and Bound Method application to optimize apparel production obtains more optimal results and maximum profits than the actual production carried out by UMKM Konfeksi Sawargi Jersey.
Inventory Control for MSME Products Using the Q Model with Lost Sales Condition Based on Products Sales Forecasting Dita Aulia Nissa; Sudradjat Supian; Julita Nahar
International Journal of Quantitative Research and Modeling Vol. 4 No. 1 (2023): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v4i1.417

Abstract

Micro, Small and Medium Enterprises (MSMEs) have an important role in economic development in order to achieve thq quality of economic growth. Intense competition among MSMEs requires MSMEs to have a good inventory control that can help them minimize costs and maximize profits. One of the MSMEs that often experiences problems in inventory control is Sabun Bening Official. To solve the inventory problems in Sabun Bening Official, Holt-Winter Exponential Additive forecasting method is used as a guide to predict future product demand because product demand graph is seasonal and has trend pattern. After getting the value of product demand forecast, inventory control calucaltions are carried out using the Q Model probabilistic inventory method with lost sales condition. The uncertain and fluctuating demand causing the inventory system in Sabun Bening Official is probabilistic and the company will lose sales if it does not able to fulfill customer demands. Based on the research results, product forecasting for the coming period and inventory control policies which include the optimal number of product order, safety stock, reorder point, and product inventory costs can be obtained.
Inventory Control for Eyeglass Supply Using the P Model Based on Sales Products Sales Forecasting (Case Study: Merry Optic Bandung) Adi Suripto; Julita Nahar; Herlina Napitupulu
International Journal of Quantitative Research and Modeling Vol. 4 No. 4 (2023): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v4i4.494

Abstract

Inventory is a resource owned by the company to be used in the production process to meet consumer demand. Companies must be able to control inventory appropriately in order to avoid excess or shortage of inventory by using inventory control. Inventory control is a necessary part of a company that requires an appropriate inventory policy to meet uncertain needs. Based on this background, this study discusses the single item inventory model in the form of photochromic glasses at Merry Optik to find the optimal total inventory cost. In meeting the uncertain needs of the company, the Additive Decomposition forecasting method is used in order to find out the forecast sales data pattern in the future. Uncertain demand causes the inventory system to be probabilistic, so it is necessary to carry out probabilistic inventory control. The P model of the case of back orders was chosen because the range of ordering periods is fixed and the company can buy inventory when it runs out before the time the inventory order is made so that buyers can wait until the inventory arrives. By using Model P for the case of back orders, the company can obtain the period between orders, the total cost of inventory, and the optimal level of service. Based on the results of this study, a pattern of sales forecast data is obtained which repeats every 12 months. Companies must order glasses within a period of 32 days between orders so that it is optimal and able to provide a reduction in the total inventory cost of IDR 21,828,771 with a service level of 95%. Companies can save on inventory costs if they use shorter periods between orders. The total cost of inventory can be more optimal if the company reduces the cost of storing inventory in the warehouse.
Determining the Optimum Replacement Time of Dosing Pump Components Using the Age Replacement Model (Case Study at PDAM Tirtawening Bandung) Julita Nahar
International Journal of Quantitative Research and Modeling Vol. 6 No. 4 (2025): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v6i4.1138

Abstract

The increase in population over time has a direct impact on the rising demand for clean water supply services, making the availability and management of water resources an increasingly critical aspect. To maintain water quality and supply continuity, reliable production machines are required. One of the machines used is a dosing pump, whose critical component is the valve ring. To ensure continuous operation without machine failure during the production process, appropriate maintenance is required by determining the optimum replacement time interval for the valve ring component using the Age Replacement model. The results of the data analysis show that the failure of the valve ring component follows a Nonhomogeneous Poisson Process (NHPP) with a Power Law Process (PLP) failure model. The optimum replacement time for the valve ring component based on the Age Replacement model is every 103.87 days of operation with a total replacement cost risk of Rp. 925,063.20, and this model is able to reduce the replacement cost of the valve ring component by 46.72%.
Co-Authors Adi Suripto Adi Suripto, Adi Afif Haekal Ismoyo Agus Supriatna Anisa Kisti, Vuji Anita Triska Annisa, Diana Apriliza, Poppy Arfemitha, Nurlia Asih Arrizal Fitrah Febryan Athaya Alyanisa Aufhar, Ihkam Amalul Bhagawanta, Hanif Ibnu D. P, Annisa Deny I. Rakhmatullah Diah Chaerani Dita Aulia Nissa Dwi Susanti Eddy Djauhari Elis Hertini Elis Hertini Eman Lesmana Eman Lesmana Eman Lesmana Endang Rusyaman Farid H. Badruzzaman Felix Daniel Budiman Gilar Sundara Hapiz Jasman Herlina Napitupulu Iin Irianingsih Iryani Indah Muhammad Akshay Kumar Muhammad Deni Johansyah Nazihah, Nazihah Nurlelasari Nurlelasari Nursanti Anggriani PUTRI NUR PRASETIA Rasyid, Thariq Ahmad Riaman . Ruby Larasati Ruby Larasati, Ruby Sri Purwani Sudradjat Sudradjat Supian Supian, Sudradjat Tri Mayanti Triesha Syifahati Vionanda, Aurellya Zulfikar Zulfikar