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All Journal Biokultur Denta: Jurnal Kedokteran Gigi Journal of Economics RUBINSTEIN
Febrian
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Agriculture, Biological Sciences & Forestry Humanities Dentistry Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Comparative Analysis of Support Vector Machine, Decision Tree, and Naive Bayes in Evaluating Machine Learning Effectiveness Hariyanto, Susanto; Indah Fenriana; Desiyanna Lasut; Febrian
RUBINSTEIN Vol. 4 No. 1 (2025): RUBINSTEIN (juRnal mUltidisiplin BIsNis Sains TEknologI & humaNiora)
Publisher : LP3kM Buddhi Dharma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/rubin.v4i1.4041

Abstract

This study aims to analyze and compare the performance of three widely used machine learning algorithms for data classification: Support Vector Machine (SVM), Decision Tree, and Naïve Bayes. These algorithms employ distinct approaches in handling data, making it essential to evaluate their effectiveness and efficiency in classification tasks. In the digital era characterized by massive data growth, the selection of an appropriate classification algorithm is a critical determinant for accurate and efficient data-driven decision-making. The main contribution of this research is to provide a comprehensive understanding of the relative strengths and limitations of each algorithm under varying data conditions. This study not only highlights comparative performance outcomes but also emphasizes practical implications for researchers and data science practitioners in selecting algorithms suited to specific needs. In doing so, it addresses a research gap concerning integrated evaluations of data characteristics and algorithmic performance. The methodology adopts a quantitative approach through computational experiments using standardized datasets (Titanic, Spam Email, and Wine). The datasets were divided into training and testing sets and analyzed using Python with the scikit-learn library. Performance evaluation was conducted based on accuracy, precision, recall, and F1-score, validated through cross-validation techniques to ensure reliability of results. The findings indicate that SVM outperforms in terms of accuracy and recall on complex datasets, Naïve Bayes is more efficient in computational time particularly for text data, while Decision Tree stands out for model interpretability despite slightly lower accuracy. These results are expected to serve as a practical reference for selecting suitable algorithms according to data characteristics, thereby supporting more targeted and intelligent modeling strategies in the era of digital transformation.
The Flexibility of Connubium Relationship Among Minangkabau Matrilineal Clans: A Study of Pariaman Rantau Communities in Kota Bekasi Fachruliansyah, Iman; Sayfa'at, Riyan Habie; Febrian
Biokultur Vol. 14 No. 2 (2025): Intersecting Perspectives: Anthropological Studies of Identities, Space and Hu
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/bk.v14i2.70567

Abstract

This study explores how Minangkabau perantauan (migrant) communities in Bekasi, West Java, reinterpret the traditional circulating connubium, a system of marital alliances between matrilineal clans, through adaptive practices such as the Bajapuik dowry tradition and intra-group clans’ marriage. Using a focused ethnographic approach, we conducted a series of preliminary, informant identification, and data collection through observation and in-depth interviews with members of the Pariaman community. While classical structural anthropology models frame the Minangkabau kinship through ideally exogamous marriage rules, we document how urban migrants strategically modify these norms to sustain matrilineal identity. Ethnographic data reveal that prohibited unions (e.g., Koto-Piliang marriages) and flexible Bajapuik payments reflect what we call the flexibility of connubium: a dynamic process wherein adat (custom) persists through selective adaptation rather than cultural erosion. Theoretically, we extend Sahlins’ (2013) notion of “mutuality of being” to argue that these practices embed migrants into shared existential projects, transcending geographic displacement. Our findings challenge the assumptions that urbanization erodes tradition, showing instead how kinship evolves through sasamo awak (“among our own”) alliances that prioritize clan solidarity over classical exogamy.
The Risk Analysis of Malnutrition by Tooth Loosing Among Elderly Febrian; Shindy Ollivia
Denta Journal Kedokteran Gigi Vol 14 No 1 (2020): Februari
Publisher : Fakultas Kedokteran Gigi Universitas Hang Tuah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30649/denta.v14i1.8

Abstract

Introduction: Tooth loss occurs mostly in the elderly, especially loss of occlusal support can cause disruption of the mastication process and the swallowing of food, so the chewing function is reduced and causes the elderly to prefer soft foods and foods that are easy to chew. The lack of fulfillment of all nutrients needed by the body as the risk of malnutrition in the elderly increases.Purpose: To evaluate the analysis of tooth loss in the elderly with mal-nutrition based on Mini Nutritional Assessment in Social House Tresna Werdha Kasih Sayang Ibu, Batusangkar. Materials and Methods: Cross-Sectional approach. The total number of the sample was 46 elderly. The Eichner index measured the tooth loss, besides the MNA questionnaire estimated the risk of malnutrition. Data analysis was done using Chi-square Results: 76.1% of the elderly have tooth loss (all of the occlusal support) and 69.7% of the elderly at risk of malnutrition. 85.7% of the elderly have tooth loss (all of the occlusal support) with risk malnutrition. The statistical result analyzed by using Chi-square obtained p-value <0.005. Conclusion: There is a risk of malnutrition in the elderly who experience tooth loss
Analisis Faktor Makroekonomi Terhadap Pertumbuhan Perekonomian Di Indonesia Prayitno, Andaru Rachmaning Dias; Muh. Imaduddin Akbar; Maula Fadhilata Rahmatika; Febrian
Jurnal Ekonomika : INDEPENDEN Vol 5 No 3 (2025): Desember 2025
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/independent.v5i3.74303

Abstract

This study aims to analyze the influence of key macroeconomic factors, namely interest rate (BI Rate), Rupiah/USD exchange rate, and inflation on Indonesia's economic growth during the 2011–2019 period. The research method used is quantitative with a linear regression analysis approach using quarterly time-series data. The model was estimated using the Ordinary Least Squares (OLS) method after passing classical assumption tests. The results show that simultaneously, all three variables have a significant effect on economic growth. However, partially, only interest rate and exchange rate show significant negative impacts, where a 1% increase in each variable reduces economic growth by 0.13% and 2.06%, respectively. Inflation has no significant effect, likely due to its relative stability during the observation period. The study concludes that interest rate and exchange rate are consistent macroeconomic factors influencing Indonesia's economic growth performance before the pandemic period.
Co-Authors Desiyanna Lasut Fachruliansyah, Iman Hariyanto, Susanto Indah Fenriana MAULA FADHILATA RAHMATIKA Muh. Imaduddin Akbar Prayitno, Andaru Rachmaning Dias Sayfa'at, Riyan Habie Shindy Ollivia