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LCGC Car Demand Forecast Analysis with Two Forecasting Method (case studies of consumer in Indonesia) Tri Wisudawati; Indah Wahyu Utami; Retna Dewi Lestari; Wahyu Adhi Saputro
Proceeding of International Conference on Science, Health, And Technology 2021: Proceeding of the 2nd International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (474.903 KB) | DOI: 10.47701/icohetech.v1i1.1150

Abstract

The economy of a country is basically supported by many sectors, one of which is the automotive industry sector with the designation as a provider of transportation facilities. The policy regarding transportation facilities is supported by the ministry of industry which issued a policy on environmentally friendly cars or low cost green cars (LCGC). Apart from being environmentally friendly, the car also has an affordable price in the community. Forecasting sales of LCGC cars is important for many companies that use past sales data to predict the amount of production that must be done so that goods continue to sell according to company targets. This will have an impact on the life and death of the automotive industry sector in the region. Important forecasting is done by many companies that use past sales data to predict the amount of production that must be done so that goods continue to sell according to the company's target. The data used in this research is secondary data. The secondary data needed in this study is the data on LCGC car sales in Indonesia from December 2019 to November 2020 obtained from secondary data sources. The data analysis method used in this research is exponential smoothing and trend analysis using POM QM software for Windows. The results also show that a good method to use as a sales forecasting method is the exponential smoothing method. This is because this method has a smaller MAPE value than the MAPE value in the trend analysis method. The MAPE figure for exponential smoothing is 4.9%, while the MAPE figure on the trend analysis method is 6.69%. In the exponential smoothing method, it is predicted that the sales of LCGC type cars in the next period are approximately 8448 units, while according to the trend analysis method, the sales forecast for the next period is 3894 units.
MULTI-CRITERIA DECISION MAKING FOR SMES SUSTAINABILITY ASSESSMENT Febrina Agusti; Fery Fery Wisnu Saputro; Indah Wahyu Utami; Fertilio Dwyanto
Proceeding of International Conference on Science, Health, And Technology Proceeding of the 3rd International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (516.261 KB) | DOI: 10.47701/icohetech.v3i1.2168

Abstract

The importance of SMEs to world economic and are pillars of the country's economic development. The number of SMEs was increased from year to year in the world. The number of SMEs in ASEAN alone currently reaches more than 70 million business units and cover 99% of all businesses in the region. Directly proportional to it, competition and sustainability vulnerabilities also getting higher. Sustainability issues had been the main focus for SMEs. Sustainability was based on three main baselines (economic, social, and cultural). Currently, a tool needed to assessment sustainability and develop a competitive strategy for these SMEs. However, the tools for sustainability assessment in SMEs was not available. This study aims to develop a sustainability assessment tool in the SMEs sector. Multi-Criteria Decision Making (MCDM) was a framework that supports the decision-making process by combining several baselines. One of the MCDM methods that can be used was the Analytical Hierarchy Process (AHP).
ANALYSIS OF HUMAN PERFORMANCE IMPROVEMENT FACTORS BETWEEN FRONTLINE HOTEL SERVICES Indah Wahyu Utami; Ilham Sentosa; Sharina Osman
International Journal of Economics, Business and Accounting Research (IJEBAR) Vol 7, No 2 (2023): IJEBAR, VOL. 07 ISSUE 02, JUNE 2023
Publisher : LPPM ITB AAS INDONESIA (d.h STIE AAS Surakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijebar.v7i2.8117

Abstract

Tourism makes a significant contribution to Indonesia's economic growth. The hospitality industry provides significant support to the tourism industry. The hospitality industry services is an industry engaged in services and has high competitiveness. One of the supporting factors in the hospitality industry is the role of human resources. Human resources that support the continuity of service activities in the hotel. Hotel management, especially in the city of Surakarta, Central Java, Indonesia continues to develop strategies for the management of services to consumers. One of them improves the performance of employees on the front line. Improvements in the reward system, task commitment, career development, and role ambiguity, will affect motivation and empowerment to improve front-line hotel employees' performance in Surakarta City.
THE APPLICATION OF INFORMATION TECHNOLOGY IN IMPROVING INNOVATION PERFORMANCE FOR STUDENT ENTREPRENEURS Indah Wahyu Utami; Eko Purwanto; Diana Novira; Fioga Zahra Fernando
International Journal of Economics, Business and Accounting Research (IJEBAR) Vol 6, No 4 (2022): IJEBAR, Vol. 6 Issue 4, December 2022
Publisher : LPPM ITB AAS INDONESIA (d.h STIE AAS Surakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijebar.v6i4.7080

Abstract

A business organization is always with products, business processes, and innovations. As a process of managing business innovation management so that it can create a sustainable competitive advantage. Efforts to create an effect on innovation performance require synergy in innovation performance and information technology. So that the business can be sustainable and support the competitiveness of student entrepreneurs. The purpose of this study is to determine the application of information technology to improve innovation performance management for student entrepreneurs. The sample in this study was 100 student entrepreneurs at some private universities in Surakarta. This study used a quantitative descriptive research design. Research by distributing questionnaires to respondents obtained results that student entrepreneurs Most of them have utilized information technology in business management. The business fields carried out by the respondents in this study include culinary, service, beauty, and fashion.
Perancangan Tata Letak Gudang SSI 3 dengan Menggunakan Metode ABC dan Class Based Storage di PT. Sami Surya Indah Plastik Adit Tri Wahyono; Indah Wahyu Utami; Febrina Agusti
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 3 (2026): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i3.61100

Abstract

Warehouse SSI 3 of PT. Sami Surya Indah Plastik is a polymer raw material storage facility of approximately 1,088 m², storing main raw materials (HDPE, LLDPE), supporting materials (metalonce, pellet, calcium), and external raw materials. The existing layout suffers from misplaced raw materials, the absence of grouping based on movement frequency, and dependence on a single operator, resulting in an average waiting time of up to 30 minutes. A physical constraint also exists in the form of a maximum stacking limit of 2 pallets due to safety factors. This study analyzes the suitability of raw material placement, designs a proposed layout using ABC classification and class-based storage (CBS), and compares performance using historical data from January–December 2025. The ABC classification results formed the basis for the proposed storage zoning, evaluated through FlexSim simulation. The proposed layout reduced total material handling moment from 59,013,313.97 kg/m to 49,688,902.90 kg/m and weighted average distance from 13.38 m to 11.27 m, each with 16% efficiency.
Analisis Marketing Mix 4P untuk Meningkatkan Produktivitas Penjualan pada CV. Ganep Tradisi Solo Dea Afnita Ardilla; Indah Wahyu Utami; Brillian Nur Diansari
Social Science Academic Vol. 1 No. 2 (2023)
Publisher : Institut Agama Islam Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/ssa.v1i2.3584

Abstract

This study aims to analyze the influence of marketing mix strategies (product, price, place, and promotion) on the enhancement of sales productivity at CV. Ganep Tradisi Solo. The research method employed is quantitative with a statistical approach. Data were collected from 52 respondents who are consumers of CV. Ganep Tradisi Solo through Likert-scale questionnaires. Validity, reliability, and classical assumptions tests were conducted to ensure data validity and reliability. Data analysis was performed using multiple linear regression. The results of the analysis indicate that product, price, place, and promotion significantly influence the enhancement of sales productivity. In conclusion, marketing mix strategies have a positive impact on enhancing the sales productivity of CV. Ganep Tradisi Solo's bakery products.
Analisis Penerapan Total Productive Maintenance (TPM) dengan Perhitungan Overall Equipment Effectiveness (OEE) pada Mesin Sewing (Studi Kasus: CV. Bebetrend Garment) Najma Murti Fadlika; Indah Wahyu Utami; Pitoyo Amrih
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 3 (2026): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i3.61215

Abstract

CV. Bebetrend Garment Sukoharjo is a garment company whose core process lies in the sewing department. Observations of three sewing machines (two collar-attaching machines and one sleeve-hemming machine) during May–June 2026 revealed considerable downtime, unstable production speed, and a notable level of defective output. This study aims to measure sewing machine effectiveness using the Overall Equipment Effectiveness (OEE) method and to identify the dominant causes of loss through Six Big Losses analysis within a Total Productive Maintenance (TPM) framework. The research employed a quantitative descriptive approach using primary and secondary data obtained through observation, interviews, and company production records. The results show that the OEE values of the three machines ranged from 63% to 70%, well below the world-class standard of 85%, with availability (82.5%–85.2%), performance (80.7%–87.7%), and quality rate (95%–96%) all falling short of JIPM standards. Six Big Losses analysis identified reduced speed losses as the largest contributor, averaging 11.15%–17.20%, followed by breakdown losses averaging 9.06%–10.46%.