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All Journal Jurnal Manajemen Teknologi Journal of Business and Management EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Business Journal : Jurnal Bisnis Dan Sosial Jurnal Impresi Indonesia
Yuliani Dwi Lestari
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Religion Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Law, Crime, Criminology & Criminal Justice Social Sciences Other

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IMPROVING INVENTORY MANAGEMENT AND FORECASTING SYSTEM IN PT XYZ Nirvana, Kinanti; Lestari, Yuliani Dwi
Journal of Business and Management Vol 7, No 3 (2018)
Publisher : Journal of Business and Management

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Abstract. PT.XYZ, as one of fashion retailer in Bandung is facing issue on how to optimize their operation management. Currently, the company does not have any proper calculation on determining how much stock they needed, level of stock should be maintain, the appropriate time to reorder the stock and any system to forecast the future demand. That condition makes overstock and stockout occur in the company. This study is conducted in order to identify the root cause of inventory management issue and design the appropriate policy for inventory management and forecasting system in PT. XYZ. The study is conducted by using qualitative and quantitative analysis. No system to determine the appropriate stock, order quantity, and the time to reorder stock, no system to forecast the demand are causes of inventory management issue in PT.XYZ. Economic Order Quantity (EOQ) model is used to determine the new order quantity, and probabilistic and safety stock model to determine the reorder point (ROP) and minimum stock. The analysis finds out that the new proposed system can reduce the number of shortage, overstock, and decrease the total inventory cost.Keywords: Forecasting, Inventory Management, Economic Order Quantity, Reorder Point, Probabilistic Model
SIX SIGMA IMPLEMENTATION FOR CHILI SAUCE A IN PT K Puspadewi, Deandra; Lestari, Yuliani Dwi
Journal of Business and Management Vol 7, No 3 (2018)
Publisher : Journal of Business and Management

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Abstract. PT K as a chili sauce company that has been running long enough in it has problems in its quality control. PT K wants to reduce the number of defect products to the maximum limit in the set. This research aims to identify existing problems and provide solutions that can reduce the defect products in PT K, using a six sigma methodology DMAIC as a tool for continuous improvement to achieve the company specification limit. This research is done through several stages such as, problem identification, data collection, literature review, observation, data analysis, conclusions, and recommendations for the company. The analysis results are used to provide solutions for companies to reduce the number of defect products and implement the given solution. This research scope is minimize into reducing the defect product of Chili Sauce A in PT K. The solution given was include of improving the raw material, employees training program, buy new machine and modernization the machine.Keyword :Chili Sauce A, PT K, Quality Control, Reduce Defect, Six Sigma
DETERMINING NUMBER AND LOCATION OF ELECTRIC BUS SHELTER IN GANESHA – JATINANGOR ROUTE WITH ANP (ANALYTIC NETWORK PROCESS) MODEL Pratiwi, Nimas Rosyana; Lestari, Yuliani Dwi
Journal of Business and Management Vol 7, No 3 (2018)
Publisher : Journal of Business and Management

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Abstract. Traffic congestion and pollution is an unsolved old issue in every major city. In fact, the second largest division in contributing to the emissions of carbon dioxide (CO2) is the transportation area, due to the ignition of the petroleum product. Currently, most of Indonesia larger cities had same problems related about transportation. Government now try to find a way how to increasing role of public transportation, decreasing usage of private cars, decreasing congestion, and decreasing number of road accidents. Indonesia government through NCSTT (National Center of Sustainable Technology Transportation) wants to implementing sustainable transportation in Indonesia. Electric Vehicle is one of their projects. The project will be conduct in Bandung City with focus on developing electric vehicle from ITB Ganesha to ITB Jatinangor. Electric vehicle is expected to be the back bone of public transportation in Bandung. It helps government to reduce the traffic congestion and also reduce the pollution. The data that is used in this study was collected from secondary data and primary data. The secondary data comes from the previous study while the primary data obtain from the direct observation that have been done on May 24th until July 3rd, 2018 and questionnaire that filled by expertise and distributed via paper based as well. To provide the electric bus, there are some supporting things, one of the is bus shelter. The research finds out that to build the bus shelter need location strategy. Analityc Hierarchy Process (AHP) is used to determine the best location for electric bus shelter with deliberate the factors which is distance, urban traffic, and availability of space. Hopefully this study can contribute to Indonesia government in implementing sustainable transportation and as reference for Bandung government and stakeholder in developing the infrastructure and commercialization area of the electric vehicle.Keywords: Sustainable Transportation, Electric Vehicle, Bus Stop, AHP
Managing Stock In Warehouse: A Case Study of A Retail Industry In Jakarta Paul, Yericho; Lestari, Yuliani Dwi
Journal of Business and Management Vol 4, No 7 (2015)
Publisher : Journal of Business and Management

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Abstract. Purpose – The purpose of this paper is to inform the warehouse management of PT. Chintaka Bumi Pertiwi, so that the company knows which processes or activities within the current warehouse work process is having problems in terms of performance or causing stock inaccuracy and to propose solution of the problems. Methodology / Approach – The methodology used for research is by interviewing the Logistics and Shipment Chief, Supervisor, and Administrator of PT. Chintaka Bumi Pertiwi warehouse resulting in the current warehouse work process, implemented SOP, number of goods lost during stock inaccuracy, number of inaccuracy case, types of goods lost, warehouse layout, goods placement. The data from interview process then compared to the actual data gathered through direct observation to identify current problems occurring and to see whether there are connections between these data. The compared result of both data collection then analyzed to see the real cause of problems within the company and the proper solution on how to improve current system by solving the identified problem. Last, recommendations will be given to the company on how to do the proposed solutions before and during the implementation. Findings – The inaccuracy case of the company increased by 11.3% with approximate value loss due to goods lost during the stock inaccuracy case in summed up around 30 million Rupiah. The current work processes is experiencing problems caused by procedure, company regulations, and the level of control applied within storage section. Research Limitation – The limitation of this research is the product types, which are CBK4401, CBK3402, CBK6402, CBG6301, CBG6302, and CBG1305 with the highest amount of inaccuracy case among other products; only focusing on the work processes of the warehouse; and the data from 2013 to 2014.
DECISION-MAKING MODEL IN SELECTING STRATEGY FOR FOOD SUPPLY IN LIVESTOCK BUSINESS USING ANALYTICAL HIERARCHY PROCESS (AHP) (A Case Study of WD Putra Farm) Ayu Agustine Hernowo; Yuliani Dwi Lestari
Business Journal : Jurnal Bisnis Dan Sosial Vol 7 No 1 (2021): Mei
Publisher : Program Studi Administrasi Bisnis, Fakultas Komunikasi dan Bisnis, Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/businessjournal.v7i1.4720

Abstract

Dalam usaha peternakan sapi potong diketahui bahwa pakan merupakan salah satu faktor keberhasilan dan menyumbang 50,20% dari total biaya. Penelitian ini dilakukan dengan menggunakan metode AHP (Analytical Hierarchy Process) dengan analisis BOCR (Benefit, Opportunity, Cost, Risk) untuk mengetahui pertimbangan dalam pemilihan proses penyediaan pakan, bobot masing-masing kriteria pada strategi dalam proses penyediaan pakan, dan urutan prioritas strategi. BOCR digunakan sebagai kriteria dalam perbandingan berpasangan. Setiap kriteria (B, O, C, R) terdiri dari 13 sub kriteria atau disebut faktor yang dikembangkan dari literatur dan pertimbangan internal perusahaan. Kriteria manfaat terdiri dari 4 subkriteria yang meliputi peningkatan pembelajaran organisasi, fokus pada kompetensi inti, peningkatan gerakan organisasi, dan peningkatan pemanfaatan aset.
Organization Readiness For ICT Implementation In In-House Hotel Booking Systems (Study Case: Zest Hotel Sukajadi) Jahida, Haifa Aliya; Lestari, Yuliani Dwi; Dianawati, Nenden
EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Vol 13 No 3 (2025): Juli
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/ekombis.v13i3.7946

Abstract

Hotels are increasingly exploring digital transformation by developing in-house booking systems as an alternative to Online Travel Agencies (OTAs). While OTAs enhance market reach and occupancy rates, their high commission fees and limited pricing control impact revenue management. Additionally, technical issues such as data synchronization errors create operational inefficiencies. To mitigate these challenges, some hotels, like Zest Hotel, implement hybrid systems that integrate both OTA and direct booking methods to improve system compatibility and customer engagement. Using qualitative research methods and NVivo for thematic analysis, this study identifies seven key factors influencing ICT adoption in hotels: leadership management, employee competence, organizational culture, structure, resource allocation, strategic alignment, and innovation. Despite limitations in scope, the findings provide a framework for understanding ICT adoption in hotel booking systems. Future research could explore trends such as cybersecurity, artificial intelligence, hotel segmentation, and business sustainability.
Proposed Aggregate Planning for Overcoming Overstock and Shortage at La Crème Kinanti, Sonia Adisha; Lestari, Yuliani Dwi
Jurnal Impresi Indonesia Vol. 4 No. 6 (2025): Indonesian Impression Journal (JII)
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v4i6.6537

Abstract

The fashion industry is known for its volatility, characterized by rapid trend cycles and short product life spans, which pose operational challenges for businesses like La Crème, a B2B wholesaler in Indonesia. With over 300 SKUs and a production capacity of 6,000 pieces per week, La Crème serves a wide network across Southeast Asia and the Middle East. However, the company faces inefficiencies in supply-demand balance, leading to overstock and shortage issues that hurt profitability and customer satisfaction. In 2023, production volume dropped significantly, highlighting flaws in inventory planning. This research aims to develop a structured aggregate production planning model to mitigate these imbalances while enhancing service levels and cost efficiency. Using a mixed-method case study approach, quantitative data includes historical sales and production records, while qualitative insights are gathered from interviews and observations at La Crème's facilities. The study evaluates forecasting accuracy through methods like Linear Trend and Moving Average, revealing that effectiveness varies by SKU. The core analysis involves simulating four production planning models over three months: chase strategy, level strategy with stockouts, subcontracting, and overtime. Results indicate that the Level Strategy with Subcontracting is the most effective, achieving the lowest total cost while maintaining service levels. This study emphasizes the importance of data-driven planning to align forecasted demand with production capacity, ultimately promoting agility and improved financial outcomes for La Crème.
Co-Authors Aliya, Qonita Himmatul Anak Agung Gede Sugianthara Athluna Canthika, Athluna Ayu Agustine Hernowo Cucu Faridah, Cucu Dini Apriani, Dini Jahida, Haifa Aliya Kinanti, Sonia Adisha Livia Luciana, Livia Miharja, Ghianinda Nenden Dianawati Nirvana, Kinanti Pratiwi, Nimas Rosyana Puspadewi, Deandra Steven Margono, Steven Yericho Paul, Yericho Zulia Manalu, Zulia