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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Teknik Industri Terintegrasi (JUTIN) Journal La Sociale International Journal of Multidisciplinary: Applied Business and Education Research
Tirkaamiana, Dean
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Social Sciences

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Implementation Mapping of Integrated Cost Management Concepts with the Phases of Product Development Basuki, Satrio Samudro Aji; Tirkaamiana, Dean
International Journal of Multidisciplinary: Applied Business and Education Research Vol. 5 No. 12 (2024): International Journal of Multidisciplinary: Applied Business and Education Res
Publisher : Future Science / FSH-PH Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijmaber.05.12.01

Abstract

The alteration in the business environment is always dynamic, and the companies must respond to these issues. It is necessary for the management to always be conscious of the prevailing condition, especially in the cost aspect. Cost aspect is substantial for profit-oriented companies to lead to the profit as optimum as possible. Therefore, the cost management is requisite in order to manage cost in the proper manner. Cost management is considered as one of the essential tools to enhance the competitiveness of business potential. Through a well-defined cost management system, man-agement is capable to acquire accurate information which pro-spective to be exploited for decision-making instruments and con-trol the internal business process entirely. Many studies have been conducted to provide a more appropriate and proper cost man-agement system for the companies. The current development in-cludes integrating cost management with Kaizen, Target Cost Modeling, Target Value Design, Cost Effectiveness Analysis, and even with the Monte Carlo Simulation in order to accommodate the uncertainty factor in the cost. Therefore, this paper provides an overview related to the cost management implementation by mapping those current development into the modified Generic Product Development framework.
Analysis of the Influence of Product Quality, Price Perception, and Packaging on Purchasing Decisions and Their Impact on Consumer Satisfaction of Bluder Bread Products Untari, Dewi; Safirin, Mochamad Tutuk; Tirkaamiana, Dean; Lantara, Dirgahayu
Journal La Sociale Vol. 4 No. 3 (2023): Journal La Sociale
Publisher : Borong Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journal-la-sociale.v4i3.1601

Abstract

CV. XYZ is a food-related company that uses a make-to-order production system and sells bread as its primary product. CV. XYZ encounters issues with the low degree of customer satisfaction with Bluder Bread’s product quality, cost, and packaging as well as the drop-in number of purchases made by customers. This study aims to ascertain how purchase decision are influenced by product quality, perceived pricing, and packaging, as well as how these factors affect customer happiness. Partial Least Square (PLS) based Structural Equation Modeling (SEM) analysis is used in the investigation. The research conclusions demonstrated that, although packaging did not significantly influence decisions to buy, percepstions of product quality and pricing had a major impact. However, customer satisfaction with bread was not significantly impacted by product quality, perceptions of pricing, or packaging. Purchase decisions can serve as a mediator and have a big impact on customer happiness.
Pemanfaatan Machine Learning untuk Menganalisis Praktik ESG: Studi Kasus pada Bank Berkinerja Unggul di Indonesia Tirkaamiana, Dean; Basuki, Satrio Samudro Aji
Journal of Applied Informatics and Computing Vol. 9 No. 3 (2025): June 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i3.9480

Abstract

This research related to the discover ESG practices by Top Performing Banks in Indonesia based on their Return on Asset (ROA) and Net Interest Margin (NIM). Due to the shifting the interest of the investor and the world condtion. Recently, investors have shown a growing inclination to incorporate ESG (Environmental, Social, and Governance) considerations into their decision-making processes. This trend is driven by a heightened awareness of environmental risks, particularly those linked to sustainability. In response to climate change, there is also a growing public interest in adopting more sustainable practices. Due to the broad and sometimes ambiguous definition of ESG, identifying the specific practices that should be implemented by banks remains challenging. Research on frameworks to guide these actions is still limited. For instance, explores the role of knowledge management in facilitating the integration of ESG factors. This research aims to create an ESG knowledge discovery framework with Natural Language Process (NLP) based on DBSCAN results of several companies which have good financial performance such as Return on Asset (ROA) and Net Interest Margin (NIM). The result will be analyzed by NLP, especially TF-IDF (Term Frequency - Inverse Document Frequency) and visualized by Word Cloud. The priority of Top Performing Bank in Indonesia related to the environment indicator conduct the activity which focus on carbon, green, and water. For social indicator, the main focus are employee, training, and financial. Lastly, for governance indicator, they are most prominent activity to the security, data, and policy. Overall, leading banks in Indonesia tend to prioritize environmental aspects in their operations. Companies with strong environmental initiatives have been shown to positively impact their earnings and financial performance.
Penerapan Metode Holt-Winters untuk Forecasting Kebutuhan Gas Alam pada Perusahaan Listrik Anjali, Nabila Putri; Tirkaamiana, Dean
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 1 (2026): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i1.53884

Abstract

Accurate natural gas demand planning is a critical factor in maintaining the operational reliability of electricity companies. Discrepancies between planned and actual gas consumption, caused by fluctuations in generation load and dispatch decisions by P2B (Load Dispatch Center), highlight the need for an appropriate forecasting method. This study aims to forecast natural gas demand using the Holt–Winters Additive method based on historical gas consumption data from November 2023 to October 2025. The research adopts a quantitative approach with time series analysis and is processed using Minitab software. Model accuracy is evaluated using the Mean Absolute Percentage Error (MAPE) indicator. The results show that the optimal parameters α = 0.2, β = 0.6, and γ = 0 produce a MAPE value of 5%, which is classified as very good. The forecasting results can serve as a basis for more efficient gas supply planning and support the reliability of power plant operations.
Co-Authors Anjali, Nabila Putri Basuki, Satrio Samudro Aji Dirgahayu Lantara Mochamad Tutuk Safirin