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Synergizing QCC and PDCA Approaches to Foster Kaizen Practices in Wingbox Production at Karoseri Sumasto, Fredy; Syaeful, Muhamad Eryl Saputra; Solih, Edwin Sahrial; Suroso, Finna; Paramita, Astriyani Sandya
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 5, No 2: June 2024
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v5i2.22816

Abstract

This research applies the Quality Control Circle (QCC) method and the PDCA (Plan-Do-Check-Action) approach to overcome problems in hydraulic cylinder bracket mounts in a manufacturing company. At the "Plan" stage, a defect classification analysis, matrix diagram for problem classification, analysis of existing conditions, setting quality, cost, and morale targets, as well as Why-Why and 5W+1H analysis were conducted. At the "Do" stage, the cylinder bracket mounts was redesigned using UNP 5.4 material as a solution to the existing problems. At the "Check" stage, measurements of the improvement results were made to ensure the achievement of the planned targets, including the reduction of damage frequency and repair costs. The results of overcoming the problem of broken hydraulic cylinder bracket mounts showed a decrease in complaints during the 2-month period after implementation. The application of the QCC method and PDCA approach not only effectively addressed the problem, but also increased customer confidence, company sustainability, and worker morale. The next step is “Action” stage to ensure process continuity by standardizing through the creation of operation standards for the manufacture and installation of hydraulic cylinder bracket mounts. As a result, the material change from SPHC 6.0 to UNP 5.4 successfully resolved the damage problem and eliminated complaints within two months after implementation. After implementation, the company can reduce the cost expense of repair by IDR 1,413,510. This success had a positive impact on customer confidence, cost efficiency, and worker morale.
INVENTORY CONTROL OF RAW MATERIALS FOR GUSSET, FR (SOZAI) PRODUCTS USING THE ECONOMIC ORDER QUANTITY METHOD AT PT XYZ Paramita, Astriyani Sandya; Fauziyah, Yunda Shofa; Bangun, Pasti Immanuel
Jurnal Apresiasi Ekonomi Vol 13, No 2 (2025)
Publisher : Institut Teknologi dan Ilmu Sosial Khatulistiwa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31846/jae.v13i2.951

Abstract

PT XYZ is a national company that produces metal-based automotive components, and one of the products is Gusset, FR (Sozai). The problem that repeatedly occurs in the company is the unstable purchase and use of raw materials for Gusset, FR (Sozai) products, even at certain times the purchase of raw materials exceeds the needs. Therefore, this study aims to determine the number of raw material orders, the total cost of raw material inventory, safety stock and reorder points, and inventory control of raw materials for Gusset, FR (Sozai) products at PT XYZ. The analysis method uses the Economic Order Quantity method. The results showed that the order quantity of JSH590R T 2.0 raw materials was 211,580 units and JSC590R T 1.4 raw materials was 208,600. The calculation of the total inventory cost of JSH590R T 2.0 raw materials and JSC590R T 1.4 raw materials is IDR 38,229,645 each. The safety stock calculation for JSH590R T 2.0 raw materials totaled 49,597 units and a reorder point value of 128,201 units. As for the JSC590R T 1.4 raw material, the safety stock calculation results in 41,054 units and a reorder point value of 115,543 units. Inventory control of JSH590R T 2.0 raw materials and JSC590R T 1.4 raw materials by applying the EOQ method when compared to the company's process results in 32% savings in inventory costs. Thus, the Economic Order Quantity method is said to be able to help the company control its inventory. Keywords: Raw Material Inventory, Gusset FR (Sozai), Economic Order Quantity
Analisis Kelayakan Investasi pada Saham Industri Otomotif yang Terdaftar di Bursa Efek Indonesia Merdiyanti, Angelia; Paramita, Astriyani Sandya; Rohman, Gilang Nur; Kasduni, Kasduni
Jurnal Disrupsi Bisnis Vol. 8 No. 6 (2025): Jurnal Disrupsi Bisnis
Publisher : Prodi Manajemen, Fakultas Ekonomi, Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/drb.v8i6.54703

Abstract

Penelitian ini bertujuan untuk menganalisis kelayakan investasi pada saham-saham perusahaan otomotif yang terdaftar di Bursa Efek Indonesia (BEI) menggunakan metode Capital Asset Pricing Model (CAPM). CAPM digunakan untuk mengevaluasi tingkat pengembalian yang diharapkan dari saham-saham tersebut dengan mempertimbangkan risiko pasar, yang diukur melalui beta, serta tingkat pengembalian bebas risiko dan premi risiko pasar. Data yang digunakan dalam penelitian ini meliputi harga saham harian, tingkat suku bunga bebas risiko, dan Indeks Harga Saham Gabungan (IHSG) sebagai representasi pasar. Berdasarkan hasil penelitian terhadap 14 emiten saham pada sub sektor otomotif, memperlihatkan hasil di mana keseluruhan saham pada perusahaan tersebut termasuk dalam kelompok “tidak efisien”. Hal ini ditunjukkan dengan tingkat pengembalian individu yang lebih kecil daripada tingkat pengembalian yang diharapkan [(Ri) < E(Ri)]. Atas dasar itulah, maka keputusan investasi yang direkomendasikan adalah dengan menjual saham-saham pada perusahaan otomotif tersebut karena saham-saham tersebut tidak memberikan return yang sebanding dengan risiko yang diambil oleh investor.
Sistem Pendukung Keputusan Smart Leasing Value Asset dengan Perhitungan NPV dan NAL Berbasis Website Sibuea, Febry P J; Paramita, Astriyani Sandya
Bulletin of Computer Science Research Vol. 6 No. 1 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i1.897

Abstract

The process of evaluating the feasibility of asset financing in business organizations is often carried out manually, making it prone to calculation errors, data inconsistencies, and delays in decision-making. This condition creates the need for a system capable of providing structured and objective analysis, particularly in determining whether an asset is more feasible to buy or lease. This study aims to develop a Smart Leasing Value Asset Decision Support System that integrates two financial analysis methods: Net Present Value (NPV) to calculate the present value of future cash flows and Net Advantage to Lease (NAL) to compare the economic benefits of purchasing and leasing an asset. The development method used is Rapid Application Development, which allows for rapid system development through a prototype approach and active user involvement. The implementation results show that the tested asset has a positive NPV value, thus being considered feasible, while a negative NAL value indicates that the purchase option is more profitable than leasing. These findings prove that the system is capable of producing accurate calculations, consistent with manual calculations, and effective in improving the speed and quality of decision-making. This system has the potential for further development by adding sensitivity analysis and real-time financial data integration.