Jurnal Informatika Ekonomi Bisnis

A Comparative Analysis of Machine Learning Models for Obesity Prediction

Gregorius Airlangga — 2025-03-31

Obesity is a global health challenge with significant implications for public health systems and individual well-being. Predictive modeling using machine learning (ML) offers a powerful approach to identify individuals at risk of obesity and inform early intervention strategies. This study evaluates the performance of ten ML models, including Logistic Regression, Support Vector Machines, Decision Trees, K-Nearest Neighbors, Naive Bayes, Random Forest, Gradient Boosting, AdaBoost, XGBoost, and LightGBM, in predicting obesity using a publicly available dataset. A rigorous preprocessing pipeline, incorporating missing value handling, categorical encoding, normalization, and outlier detection, was applied to ensure data quality and compatibility with ML algorithms. Performance metrics such as accuracy, precision, recall, and F1-score were evaluated using 10-fold stratified cross-validation. Among the models, LightGBM demonstrated the highest test accuracy (99.19%) and F1-score (99.20%), outperforming Gradient Boosting and Random Forest, which also showed competitive results. The study highlights the superior predictive capabilities of ensemble methods while underscoring the trade-offs between model complexity and interpretability. Logistic Regression provided a strong baseline, demonstrating the importance of preprocessing, but was outperformed by advanced ensemble techniques. This research contributes to the growing field of ML-driven healthcare solutions, offering valuable insights into the strengths and limitations of various predictive models. The findings support the integration of advanced ML techniques in public health systems and pave the way for future research on hybrid and explainable models for obesity prediction and management.

Pengaruh Strategi Pameran dan Penjualan Pribadi terhadap Penjualan Jasa Trucking PT Amerta Jaya Usahatama

Kemal Alamsyah — 2025-03-31

PT Amerta Jaya Usahatama sebagai perusahaan yang bergerak dalam bidang jasa pengiriman harus selalu mempunyai tujuan untuk berkembang. Tujuan tersebut dapat dicapai melalui upaya untuk dapat mempertahankan dan meningkatkan tingkat keuntungan atau laba operasional perusahaan melalui pengimplementasian stratergi pemasaran yang tepat. Penelitian ini bertujuan untuk menganalisis pengaruh strategi pameran dan penjualan pribadi terhadap penjualan di PT Amerta Jaya Usahatama dengan menganalisis media pemasaran yang digunakan yaitu media promosi pameran, dan penjualan pribadi. Jenis metode yang digunakan dalam penelitian ini adalah kualitatif deskriptif serta teknik pengumpulan data yang digunakan ialah wawancara, observasi, dan dokumentasi. Hasil penelitian menunjukkan bahwa setelah dilakukannya pameran dan penjualan pribadi yang dilakukan oleh PT Amerta Jaya Usahatama mengalami peningkatan dalam penjualan. Hal ini membuktikan bahwa dengan adanya pameran dan penjualan pribadi memberikan dampak yang signifikan terhadap penjualan pada tahun 2023.

A Comparative Analysis of Deep Learning Architectures for Obesity Classification Using Structured Data

Gregorius Airlangga — 2025-03-31

Obesity is a significant global health concern, necessitating accurate and efficient diagnostic tools to classify individuals based on obesity levels. This study investigates the performance of five deep learning architectures: Multilayer Perceptron (MLP), Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and Bidirectional LSTM (BiLSTM) in classifying obesity levels using structured data. The dataset comprises clinical, demographic, and lifestyle features, and is preprocessed through normalization, label encoding, and Synthetic Minority Oversampling Technique (SMOTE) to address class imbalance. Each model was evaluated using accuracy, precision, recall, and F1-score metrics under stratified 10-fold cross-validation. The results indicate that MLP achieved the highest performance across all metrics, with an accuracy of 99.05%, followed closely by CNN at 98.77%. Sequential models, including LSTM, GRU, and BiLSTM, exhibited comparatively lower performance, achieving accuracies of 83.80%, 86.59%, and 86.78%, respectively. The superior performance of MLP and CNN underscores their suitability for structured datasets with static features, while the sequential models struggled due to the lack of temporal dependencies in the data. This study highlights the importance of aligning model architecture with dataset characteristics for optimal performance. The findings suggest that MLP and CNN are effective choices for obesity classification tasks, providing robust and computationally efficient solutions. Future work could explore hybrid models and incorporate temporal features to enhance the performance of sequential architecture.

Determinants of Continued Use of Agile Methods: A Case Study of an E-Commerce Enabler in Indonesia

Galuh Prisillia — 2025-03-02

Agile methodologies have gained popularity for their adaptability, faster time-to-market, and enhanced customer satisfaction. However, sustaining their use post-adoption poses challenges, including knowledge gaps, resistance to change, and communication issues. This study examines the determinants of continued use of Agile methods at PT XYZ, an e-commerce enabler in Indonesia. Using the Expectation Confirmation Model and Partial Least Squares Structural Equation Modeling, data from 61 IT staff members were analyzed to evaluate relationships between Confirmation, Perceived Usefulness, Satisfaction, and Continuance Intention. Results reveal that CO positively impacts PU and SA, while PU and SA significantly influence CI. Satisfaction emerges as a critical mediator between perceived value and continued use. These findings highlight the importance of aligning Agile practices with user expectations and perceived benefits to ensure sustained adoption. Practical implications include the need for comprehensive training, regular evaluations of team satisfaction, and organizational alignment with Agile principles.

Determinan Variabel Makroekonomi terhadap Indeks Saham Syariah Indonesia

Linda Sari — 2025-03-08

This study analyzes the influence of macroeconomic variable determinants, namely inflation, exchange rates, profit-sharing, and economic growth, on the Indonesia Sharia Stock Index (ISSI). Using the Error Correction Model (ECM) method, this research identifies both short-term and long-term relationships between these variables. Data were obtained from the Financial Services Authority (OJK), the Indonesia Stock Exchange (BEI), and the Central Statistics Agency (BPS) during the period of 2012–2022. The results indicate that exchange rates and economic growth have a significant impact on the ISSI in both the short and long term. However, inflation does not show a significant effect in either time frame. This study provides important implications for investors and policymakers in understanding the dynamics of the sharia capital market in Indonesia.

Optimalisasi Pemanfaatan Transportasi Udara Bandara Aek Godang dan Bandara Jenderal Besar AH Nasution untuk di Sumatera Utara

Bill Akbar — 2025-03-09

This study aims to evaluate the utilisation and development potential of Aek Godang Airport in North Padang Lawas Regency and JB AH Nasution Airport in Mandailing Natal Regency in supporting regional air transport in North Sumatra. The method used is SWOT analysis with AHP weighting to determine development priorities. The results showed that JB AH Nasution Airport has greater external opportunities with an EFAS score of 3.94, while Aek Godang Airport excels in internal strengths with an IFAS score of 4.03. This research focuses more on the supply side, highlighting the infrastructure readiness of both airports. JB AH Nasution Airport is recommended to be developed as a primary airport with a focus on long-haul and international routes, while Aek Godang Airport is geared as a secondary airport for regional routes and cargo logistics. Synergy between the two airports is essential to create an efficient air transport system and support sustainable regional economic growth.

Analisis Ketimpangan Pengeluaran Konsumsi Antar Kabupaten/Kota di Sumatera Selatan

Muhammad Rifki — 2025-03-10

This research aims to analyze the inequality of per capita consumption expenditure in South Sumatra, the influence of per capita GRDP, education level, population dependency ratio, and Human Development Index among districts/cities in South Sumatra during the period 2012-2023. The research method used is quantitative, with a regression analysis approach to test hypotheses about the relationship between the mentioned variables. Data were obtained from official sources of the South Sumatra Statistics Indonesia (BPS), covering consumption expenditure inequality, education level percentage, population dependency ratio, and the Human Development Index. The results of the analysis show that districts/cities in South Sumatra are categorized as moderately unequal between 0.25-0.35, however, Pali Regency, Musi Rawas Utara Regency, and Musi Rawas Regency have low inequality values < 0.25, while Palembang City and Lubuk Linggau City are almost approaching the very unequal criteria with values of 0.34 and 0.33 respectively. In the estimation of the multiple regression model from 4 (four) independent variables, there are 3 (three) variables that significantly influence per capita consumption expenditure, namely: Population Education Percentage (ED), Population Dependency Ratio (DR), and Human Development Index (IPM).

Pengaruh Lingkungan Kerja dan Kepemimpinan terhadap Kinerja Perawat RS Immanuel

Raharjo Prihartono — 2025-03-31

Kualitas tenaga kerja sebuah rumah sakit adalah hal yang paling utama untuk keberhasilan secara keseluruhan. Peneliti akan meneliti bagaimana kinerja perawat dapat dipengaruhi oleh lingkungan kerja dan efektivitas kepemimpinan seorang pemimpin. Data dikumpulkan melalui survei online dari sampel acak yang terdiri dari 75 perawat, yang diambil dari populasi sebanyak 295 orang. Data tersebut kemudian dianalisis menggunakan regresi berganda untuk menentukan dampak faktor-faktor ini terhadap kinerja. Hasilnya diperoleh adanya relasi dan dampak yang kuat antara kinerja perawat dan baik kualitas lingkungan kerja maupun efektivitas kepemimpinan. Implikasi dari penelitian ini menunjukkan bahwa rumah sakit harus memprioritaskan program pengembangan berkelanjutan untuk para manajer, mendorong hubungan interpersonal yang kuat antar staf, mendorong perawat untuk mencapai potensi tertinggi mereka, dan berupaya untuk mencapai keunggulan dalam perawatan pasien. Inisiatif ini sangat penting untuk mengembangkan tenaga kerja yang sangat kompeten, sehingga memungkinkan rumah sakit untuk mencapai tujuan strategisnya.

Pengaruh Pelatihan, Reward, dan Lingkungan Kerja terhadap Kinerja Karyawan Pada PT Metal Hitech Engineering

Novia Firnanda — 2025-03-15

This study aims to analyze the effect of training, rewards, and work environment on employee performance at PT Metal Hitech Engineering. In an era of ever-changing business, it is important for companies to improve the quality of human resources in order to compete effectively. The method used in this study is a quantitative approach with data collection through questionnaires distributed to employees. The sample taken was 64 respondents with a nonprobability sampling technique. The data analysis technique used was multiple linear regression analysis and partial hypothesis testing (t-test) using SPSS 25. The results of the study showed that the independent variable, namely training (X1) partially did not have a significant effect on employee performance (Y), while the Reward (X2) and Work Environment (X3) variables partially had a significant effect on employee performance (Y). The conclusion of this study confirms that to improve employee performance, companies need to optimize training programs, provide appropriate rewards, and create a conducive work environment. This study is expected to be a reference for companies in formulating strategies to improve employee performance and provide insight for further research that is relevant to this topic.

Factor of Social Media Adoption for Marketing in Industry : A Literature Review

Adisuputra — 2025-03-31

Social media has allowed people to interact freely with other people and has created a way to market products or services to fellow users who are involved in using social media. The trend of using social media for marketing (SMM) in recent years has increased and has become the choice for many industries to do marketing. Uniquely, on the other hand, the use of social media for marketing has resulted in opportunities and employment opportunities for everyone to be involved as marketing agents (endorsement), which not only provides opportunities for public figures but also for fellow social media users. This paper attempts to conduct a review to see and find out what factors make industry players use social media for marketing to support marketing. To achieve this objective, a thorough literature search was conducted using three reputable databases: IEEE, Science Direct, and Taylor & Francis. From the search results, 25 relevant papers were selected to support this research, providing valuable insight into the factors that influence the adoption of social media for marketing.

Pengaruh Financial Literacy terhadap Sustainability Performance dengan Financial Technology sebagai Variabel Mediasi

Windi Pratama Sakti — 2025-03-18

This study aims to examine the effect of financial literacy on sustainability performance with financial technology as a mediating variable in micro, small and medium enterprises (MSMEs) in West Sumatra. This study is a quantitative study with a sample method, namely random sampling. The sample in this study was 297 respondents consisting of micro, small and medium enterprises (MSMEs) in West Sumatra. Data analysis was carried out using the Structural Equation Modeling (SEM) method using IBM SPSS Amos 26 software. The results of this study indicate that Financial Literacy has a significant positive effect on Sustainability Performance. Financial Literacy has a significant positive effect on Financial Technology. Financial Technology has a significant positive effect on Sustainability Performance.

Pengaruh Kompensasi, Motivasi, dan Lingkungan Kerja Fisik terhadap Kinerja Karyawan Pada PT. Pacific Angkasa Abadi

Fitri Firdhausiah — 2025-03-25

This study aims to analyze the effect of compensation, motivation, and physical work environment on employee performance at PT. Pacific Angkasa Abadi, a manufacturing company engaged in the iron pipe and pipe fitting industry. The background of this study is based on the problem of declining employee performance as seen from work output that does not meet the set targets. The method used in this study is quantitative analysis with data collection through questionnaires distributed to employees. The number of samples used in this study was 56 respondents with a saturated sampling technique. The data obtained were then analyzed using multiple linear regression analysis and partial hypothesis testing using SPSS 25 to determine the effect of each variable on employee performance. The results of the study showed that there was a positive and significant effect between compensation and employee performance, which is in line with previous studies showing that compensation contributes to increased performance. Motivation has a positive and significant effect on employee performance, in addition, the physical work environment has a positive and significant effect on employee performance. All variables play an important role in improving employee performance, which is a key factor in achieving company goals. The conclusion of this study confirms that companies need to pay attention to aspects of compensation, motivation, and the physical work environment to improve overall employee performance.

Pengaruh Influencer Media Sosial terhadap Minat Beli Konsumen Fashion

Mila Sabrina — 2025-03-29

This study aims to analyze the influence of Informativeness, Credibility, Interactivity, Product Match Up, and Entertainment on consumer purchase intention, mediated by consumer attitudes toward the influencer Sashfir on social media, particularly in the fashion industry. This research employs a quantitative approach using Structural Equation Modeling (SEM). The study population consists of women actively using social media who have watched Sashfir’s videos. A purposive sampling technique was applied, resulting in 100 respondents determined using Cochran’s formula. Data were collected through questionnaires measured with a Likert scale. The findings reveal that all independent variables have a positive and significant effect on consumer purchase intention, both directly and through consumer attitudes as a mediating variable. These results highlight the crucial role of influencers with high credibility, informative content, active engagement, product relevance, and entertaining elements in shaping consumer attitudes and purchase intention. Consequently, this study contributes to the fashion industry and digital marketing strategies by providing insights into the effectiveness of influencers in attracting consumer interest through social media.

Pengembangan Game Simulasi Motorik untuk Anak Sekolah Dasar SDN 230 Palembang

Muammar Khadafi — 2025-03-30

Games are popular technologies used for entertainment, and educational games combine play with learning to enhance concentration and thinking skills. This research addresses the lack of engaging learning media for first-grade students at SDN 230 Palembang and the prevalence of non-educational games. The study develops an educational game called Image Matching, aimed at teaching animal and fruit names while improving fine motor skills. The game, Animal Detective, is a puzzle game where students guess animal names based on pictures and descriptions. Using the System Development Life Cycle method, including planning, analysis, design, development, and testing with the Black Box method, this game serves as an interactive learning media. Results show that it effectively improves motor skills and knowledge about animals and fruits. The game is expected to provide engaging education and entertainment for first-grade students at SDN 230 Palembang.

Pengaruh Ease of Use, Security, Trust, dan Perception of Benefits terhadap Interest in Using Mobile Banking dengan Lifestyle Sebagai Variabel Moderating

Mega Oktaviani — 2025-03-31

This study aims to examine the effect of Ease of Use, Scurity, Trust, and Perception of Benefits on Interest In Using Mobile Banking with Lifestyle as a moderating variable on Padang City Students. This research is a quantitative study with a sample method, namely purposive sampling. The sample in this study were 121 respondents who were Padang State University students. The results of this study indicate that Ease of Use has no significant effect on interest in using Bank Nagari mobile banking in Air Tawar Padang, which means that this hypothesis is rejected because the p-value is 0.097> 0.05. The effect of Security, Trust, and Perception of Benefits has a significant positive effect on interest in using Bank Nagari mobile banking in Air Tawar Padang, which states that the p-value of each is <0.05. For indirect effects, the effect of trust on interest in using which is moderated by lifestyle has an indirect effect with a p-value of 0.026 <0.05, and for the effect of ease of use on interest in using, the effect of security on interest in using, and the effect of perception of benefits on interest in using, each of which is moderated by lifestyle, shows insignificant results or the hypothesis is rejected, because the p-value level is > 0.05, namely 0.586, 0.349, and 0.703 respectively.

Dampak Likuiditas, Leverage, dan Profitabilitas Mengenai Keputusan Hedging Perusahaan Perbankan di Bursa Efek Indonesia Periode 2019-2022

Firza Zafiral Ustiananda — 2025-03-31

This study aims to analyze the effect of liquidity, leverage, and profitability on hedging decisions in banking sector companies listed on the Indonesia Stock Exchange (IDX) during the period 2019–2022. The data used are secondary data obtained from the company's annual financial reports published on the IDX. With the purposive sampling method, 52 data samples were obtained from 13 companies that met the research criteria. Data analysis was carried out using logistic regression to evaluate the relationship between the independent variables (liquidity, leverage, and profitability) and the dependent variable (hedging decisions). The results of the study indicate that liquidity has a positive and significant effect on hedging decisions, leverage has no significant effect, and profitability has a positive and significant effect. These findings emphasize the importance of liquidity and profitability in determining hedging policies, while leverage is not a significant factor in making these decisions. This study is expected to provide practical and theoretical contributions in the field of financial risk management and become a reference for companies to manage exchange rate risk through hedging strategies.

Analisis Dampak Penataan Kawasan Batang Agam terhadap Kesejahteraan Masyarakat Lokal

Muhammad Irsyad Ash-shiddiqie — 2025-03-31

This study analyses the impact of the Batang Agam area arrangement on the welfare of local communities in Payakumbuh City, West Sumatra, focusing on three main variables: area zoning regulations, infrastructure and environment. Through a quantitative approach with logistic regression method, data was collected from 106 businesses around the Batang Agam area. The results showed that environmental quality has a significant influence on increasing community income, with an odds ratio of 21,300.88. This indicates that a clean, safe and well-managed environment is a major factor in driving economic activity. In contrast, zoning regulations and infrastructure did not show a significant impact, possibly due to their sub-optimal implementation or inappropriate to local needs. These findings underscore the importance of environmental management as a key foundation in zoning, while emphasising the need to re-evaluate zoning and infrastructure policies to be more responsive to community needs. The research also highlights the importance of community participation in the planning process to ensure that development policies are truly inclusive and sustainable. The implication of these findings is the need for a holistic approach to zoning, which focuses not only on physical aspects, but also on improving the quality of life and well-being of local communities. As such, this research provides valuable input for local governments in designing more effective and sustainable development policies in riverside areas.