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INDONESIA
Journal of Management and Bussines (JOMB)
Published by Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi
ISSN : 26568918     EISSN : 26848317     DOI : -
Core Subject :
Journal of Management and Bussines (JOMB) focus dan scopenya meliputi; Manajemen Keuangan, Manajemen Pemasaran, Manajemen Sumber Daya Manusia, Manajemen Operasional, Manajemen Sistem Informasi, Manajemen Pajak dan, Administrasi Bisnis.
Arjuna Subject : -
Articles 574 Documents
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Pengaruh Harga, Kualitas Produk, Citra Merek dan Promosi terhadap Keputusan Pembelian Smartphone Merek Oppo dengan Kepuasan Konsumen sebagai variabel Mediasi(Studi Kasus pada Mahasiswa Universitas Nusa Bangsa) Saputra, Muhamad Riko Yanwar; Nia Sonani; Rumna, Rumna
Journal of Management and Bussines (JOMB) Vol. 7 No. 5 (2025): Journal of Management and Bussines (JOMB)
Publisher : IPM2KPE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/ee7xga58

Abstract

This study aims to analyze the influence of price, product quality, brand image, and promotion on Oppo smartphone purchase decisions, with consumer satisfaction as a mediating variable among students at Nusa Bangsa University. The research method used a quantitative approach with a causal associative approach. The sample consisted of 147 respondents selected using purposive sampling. The research instrument, a Likert-scale questionnaire, was then tested for validity and reliability. Data analysis was performed using multiple linear regression and a mediation test using SPSS version 25. The results showed that price, product quality, brand image, and promotion had a positive and significant influence on purchase decisions. Furthermore, price, product quality, brand image, and promotion also significantly influenced consumer satisfaction. Furthermore, consumer satisfaction was shown to act as a mediating variable in strengthening the relationship between price, product quality, brand image, and promotion on purchase decisions. These findings confirm that a marketing strategy that emphasizes a combination of competitive pricing, superior quality, a strong brand image, and appropriate promotion can increase consumer satisfaction and purchase decisions.   Keywords: Price, Product Quality, Brand Image, Promotion, Consumer Satisfaction
Efektivitas Bonus Insentif, Asuransi Kesehatan, dan Hak Cuti terhadap Kesejahteraan Karyawan di PT. KAI DAOP IV Semarang Firnanda, Muhammad Alul; Suryakencana Wibowo, Mochammad Eric; Awanis Linati Haziroh; Hertiana Ikasari
Journal of Management and Bussines (JOMB) Vol. 7 No. 5 (2025): Journal of Management and Bussines (JOMB)
Publisher : IPM2KPE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/51gkpj95

Abstract

This study aims to analyze the effect of incentive bonuses, health insurance, and leave entitlements on employee well-being at PT Kereta Api Indonesia DAOP IV Semarang. The research method used a quantitative approach, distributing questionnaires to 100 respondents using quota sampling. The data were then analyzed through validity, reliability, normality, multicollinearity, heteroscedasticity, multiple linear regression, F-test, and t-test. The results showed that incentive bonuses and leave entitlements had a positive and significant effect on employee well-being, while health insurance had a positive but insignificant effect. The conclusion of this study is that company policies emphasizing the provision of incentive bonuses and adequate leave entitlements have been proven to improve employee well-being, while health insurance has not had a significant impact.   Keywords: Incentive Bonus, Health Insurance, Leave Entitlements, Employee Welfare
Manajemen Informasi Keuangan, Sentimen Pasar, dan Reputasi Emiten dalam Strategi Pengambilan Keputusan Investasi oleh Investor Institusional di Bursa Efek Indonesia Fernanda, Olivia; Tasrim, Tasrim
Journal of Management and Bussines (JOMB) Vol. 7 No. 5 (2025): Journal of Management and Bussines (JOMB)
Publisher : IPM2KPE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/z6e5zr81

Abstract

This study aims to understand the investment decision-making strategies of institutional investors on the Indonesia Stock Exchange, emphasizing three main aspects: financial information management, market sentiment, and issuer reputation. The research method used is a descriptive qualitative approach, with data collected through documentation and non-participatory observation from credible online sources, followed by thematic analysis. The results indicate that investment decisions are not solely determined by conventional financial indicators but are also significantly influenced by market perception and company reputation. Financial information serves as the basis for objective evaluation, market sentiment influences asset allocation preferences, and issuer reputation is a differentiating factor in assessing long-term investment viability. The study's conclusions confirm that these three factors form a complementary ecosystem of information and perception, making institutional investment decisions a complex process that demands data accuracy, responsiveness to sentiment, and reputation consistency.   Keywords: Institutional Investment, Financial Information, Market Sentiment, Issuer Reputation
Implementasi Algoritma Decision Tree C4.5 untuk Klasifikasi Pengangkatan Karyawan Tetap (Studi Kasus) di PT Intinusa Teknik Sejahtera) Suropati, Untung; Deny Saputra
Journal of Management and Bussines (JOMB) Vol. 7 No. 5 (2025): Journal of Management and Bussines (JOMB)
Publisher : IPM2KPE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/68x3rd85

Abstract

This study aims to implement the Decision Tree C4.5 algorithm in the classification of permanent employee appointments at PT Intinusa Teknik Sejahtera to support more objective, accurate, and transparent decision-making. The research method used is a quantitative data mining-based approach with the CRISP-DM framework, using an employee dataset from the HRD department consisting of 16 attributes related to profile and performance. The modeling process was performed using RapidMiner Studio software using the split validation method with a ratio of 80% training data and 20% test data. The results show that the Decision Tree C4.5 classification model has an accuracy of 89.25%, with recall for the Contract class of 91.14% and the Permanent class of 78.57%, and precision for the Contract class of 96.00% and the Permanent class of 61.11%. The conclusions of this study confirm that the attributes of Performance, Attendance, Loyalty, and Tenure are the main factors in permanent employee appointments, and the C4.5 algorithm can be utilized as an HRD decision support system, although further method development is needed to improve precision for the Permanent class.   Keywords: Decision Tree C4.5, Classification, Permanent Employees, Human Resource Management

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