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IMPORVING PROMOTIONAL MARKETING STRATEGIES FOR OUVAL RESEARCH USING ANALYTICAL HIERARCHY PROCESS (AHP) Bimo Widyatama; Utomo Sarjono Putro
Jurnal Ilmiah Manajemen, Ekonomi, & Akuntansi (MEA) Vol 9 No 2 (2025): Edisi Mei - Agustus 2025
Publisher : LPPM STIE Muhammadiah Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31955/mea.v9i2.5910

Abstract

Following the Covid-19 outbreak, Indonesia's fashion industry, like that of much of the world, has experienced substantial changes. The Covid-19 pandemic's is changing customer behavior in ways that will last for a long time. Many company have been forced to change their sales methods and adopt digital platforms as a result of COVID-19's creation of new customer trends. Following these disruptions, e-commerce became a vital lifeline for Indonesia's apparel sector. Online shopping exploded as physical stores collapsed, and sites like Tokopedia, Bukalapak and Shopee became essential for the delivery of fashion items. E-commerce has changed not only how customers purchase clothing but also how companies interact with their customers.This research looks at how the well-known Indonesian streetwear company Ouval Research, which was established in 1997, has handled these shifts in the fashion sector. The study uses qualitative research to examine the opportunities and problems brought about by the post-pandemic environment, with particular attention to changes in customer behavior, the function of e-commerce in marketing and the effects of new promotional strategies. Using Analytical Hierarchy Process to finding the best promotional marketing strategies for Ouval Research is the aim of this research, particularly in light of the digital revolution and shifting customer demands. It also offers practical suggestions for the brand to improve its standing in the competitive post-pandemic fashion industry.
XGBOOST MODEL FOR DEFAULT PREDICTION IN CREDIT SCORING OF CONVENTIONAL BANK Hilmi Suftandar; Meditya Wasesa; Utomo Sarjono Putro
Jurnal Ilmiah Manajemen, Ekonomi, & Akuntansi (MEA) Vol 9 No 2 (2025): Edisi Mei - Agustus 2025
Publisher : LPPM STIE Muhammadiah Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31955/mea.v9i2.5920

Abstract

We develop an XGBoost-based classification model for predicting loan default in the context of credit scoring for a conventional commercial bank in Indonesia. The model aims to improve predictive performance in identifying high-risk borrowers using historical loan data. For this purpose, we use two years of consumer loan records, consisting of over forty thousand observations, including borrower demographic, credit score, and loan characteristics. To address the severe class imbalance within the dataset, we employ the Random OverSampling Examples (ROSE) technique on the training subset. The model is trained and evaluated using standard classification performance metrics, including precision, recall, F1 score, and area under both ROC and Precision-Recall curves. Our results show that the XGBoost model performs well in detecting non-defaults with high sensitivity and precision, particularly in the training set. However, performance on the test set indicates a significant drop in recall for the default class, suggesting model overfitting under imbalanced conditions. These findings highlight the potential and limitations of using ensemble learning methods such as XGBoost in real-world credit risk evaluation, especially when data imbalance remains a major concern.
PENINGKATAN PROSES PENGAMBILAN KEPUTUSAN DALAM PEMILIHAN ALTERNATIF DESAIN KONSTRUKSI PROYEK JALAN TOL TINGGI UTARA STUDI KASUS PT XYZ Nastiti Ramadhyanti; Utomo Sarjono Putro
Jurnal Ilmiah Manajemen, Ekonomi, & Akuntansi (MEA) Vol 9 No 2 (2025): Edisi Mei - Agustus 2025
Publisher : LPPM STIE Muhammadiah Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31955/mea.v9i2.5967

Abstract

This study addresses the inefficiency in the decision-making process of PT XYZ for selecting the basic design of the North Elevated Toll Road (NETR) project. Initially driven solely by cost considerations, the previous approach overlooked critical factors such as environmental impact, social implications, construction complexity, and land acquisition processes. Through the application of the Analytic Hierarchy Process (AHP) and Value Engineering (VE), this research proposes a more comprehensive decision-making model. Primary data were collected via in-depth questionnaires and focus group discussions involving key stakeholders within PT XYZ. The results highlight the importance of adopting a multi-criteria framework to avoid project delays, minimize risk, and improve long-term feasibility. By integrating financial and non-financial criteria, the study identifies the most suitable design alternative and proposes an implementation plan for its adoption. This model aims to support more accountable and strategic infrastructure decisions within PT XYZ and similar organizations in future projects.
DEVELOPING STRATEGY FOR ELECTRICAL & AUTOMATION SYSTEM INTEGRATOR COMPANY FOR FACING FUTURE BUSINESS UNCERTAINTY Dody Budi Satriyo; Utomo Sarjono Putro
Jurnal Ilmiah Manajemen, Ekonomi, & Akuntansi (MEA) Vol 9 No 3 (2025): Edisi September - Desember 2025
Publisher : LPPM STIE Muhammadiah Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31955/mea.v9i3.6376

Abstract

PT Mitra is a private limited company that has been around since 1996. PT Mitra specialize in electrical and automation and has many clients in state owned company like PT. Pertamina, PT Semen Indonesia, PT PLN, PT. Biofarma and private owned company like PT. British Petroleum Berau, PT Indocement, etc. In the last four years, PT. Mitra revenue has growth exponentialy. This made the company growth into a big scale company that is rated from their revenue, employee and capital. The sudden growth of PT. Mitra is supported by their cyclical revenue which can create a problem if PT. Mitra owner and management cannot manage the company well. The scenario planning method try to give some alternative vision and how should the owner and management react by developing their strategy. The scenario planning in this study is design for five years duration and the strategy will be developed using TOWS analysis to create a multiple strategy for each scenario.