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Evaluation of Machine Learning Models for Predicting Cardiovascular Disease Based on Framingham Heart Study Data Suhatril, Ruddy J; Syah, Rama Dian; Hermita, Matrissya; Gunawan, Bhakti; Silfianti, Widya
ILKOM Jurnal Ilmiah Vol 16, No 1 (2024)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v16i1.1952.68-75

The Framingham Heart Study Community is a research community that produces data related to Cardiovascular Disease (CVD). This research applies technology to predict CVD using machine learning based on data from the Framingham Heart Study. The eight machine learning algorithms are deployed in this study, they are decision tree, naïve bayes, k-nearest neighbors, support vector machine, random forest, logistic regression, neural network, and gradient boosting.This research uses several stages of research such as load dataset, preprocessing data, data modeling, evaluation of various data modelling, and input new data. The best performance was produced by the random forest model with an accuracy value of 0.84, a precision value of 0.84, a recall value of 0.85, an f1-score value of 0.79 and an AUC value of 0.72. The prediction generated by the proposed machine learning model is high risk or low risk of CVD.

IMPLEMENTASI SISTEM TUTORIAL KEDOKTERAN BERBASIS WEB DI FAKULTAS KEDOKTERAN UNIVERSITAS GUNADARMA Gunawan, Bhakti; Syah, Rama Dian; Zulenka, Sofian; Setyawati, Rena Fuji Erin; Suhatril, Ruddy J
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 9 No 2 (2024): OCTOBER
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/instek.v9i2.48957

Proses pembelajaran tutorial (problem based learning) memiliki critical insidents yang membuat pelaksanaan pembelajaran tutorial belum optimal. Tujuan dari penelitian ini adalah mengimplementasikan sistem tutorial berbasis web untuk pelaksanaan pembelajaran tutorial. Penelitian ini menggunakan metode waterfall untuk membuat sistem. Tahapan metode waterfall adalah pengumpulan kebutuhan, desain sistem, implementasi sistem, pengujian sistem, dan pemeliharaan sistem. Hasil dari penelitian ini yaitu sistem tutorial berbasis web di fakultas kedokteran universitas gunadarma. Pengujian sistem menggunakan metode blackbox menunjukkan semua fitur menu yang disediakan sistem berhasil berjalan dengan baik serta mahasiswa dan tutor berhasil melakukan pemakaian sistem. Sistem tutorial berbasis web ini membantu pelaksanaan pembelajaran tutorial menjadi lebih optimal.

Pemanfaatan Learning Management System (LMS) dalam penyelenggaraan dan analisis progress test Lestari, Winda; Setyawati, Rena Fuji Erin; Gunawan, Bhakti; Suhartini, Sri Mukti; Hermita, Matrissya; Suhatril, Ruddy J; Syah, Rama Dian
Jurnal EDUCATIO: Jurnal Pendidikan Indonesia Vol 11, No 1 (2025): Jurnal EDUCATIO: Jurnal Pendidikan Indonesia
Publisher : Indonesian Institute for Counseling, Education and Therapy (IICET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/1202525639

Penilaian kemampuan mahasiswa kedokteran melalui progress test merupakan komponen penting dalam evaluasi pembelajaran berbasis Problem-Based Learning (PBL), namun pelaksanaan progress test secara konvensional memerlukan sumber daya dan upaya besar untuk menyediakan umpan balik indivual secara komprehensif. Penelitian ini bertujuan untuk mengevaluasi efektivitas Learning Management Systems (LMS) V-Class sebagai media penyelenggaraan dan analisis progress test dalam konteks assessment for learning pada mahasiswa kedokteran. Penelitian ini menggunakan pendekatan kuantitatif dengan desain kuasi eksperimental. Partisipan penelitian ini sejumlah 139 mahasiswa Fakultas Kedokteran Universitas Gunadarma Angkatan 2018-2021 yang telah mengikuti pembelajaran minimal dua semester pertama. Instrumen penelitian berupa soal progress test berbasis blueprint kurikulum yang diinput ke dalam LMS. Data hasil progress test diambil dari V-Class, kemudian dilanjutkan analisis butir menggunakan Microsoft Excel, serta evaluasi capaian belajar mahasiswa berdasarkan sistem menggunakan Uji Kruskal Wallis dan dilanjutkan dengan analisis Uji Wilcoxon. Hasil menunjukkan bahwa LMS mampu menyajikan total skor dan ketepatan jawaban per soal per mahasiswa, namun belum menyediakan analisis mendalam per blok pembelajaran. Rata-rata capaian tertinggi ditemukan pada topik komunikasi (66,67-100%) dan anatomi-patologi (49,24%-61,54%). Terdapat perbedaan rerata signifikan antar angkatan pada sejumlah topik (p<0,05). Penelitian ini menyimpulkan bahwa LMS memiliki potensi sebagai media assessment for learning, namun perlu pengembangan fitur analisis individual dan umpan balik berbasis topik. Temuan berdasar hasil penelitian ini berkontribusi pada pengembangan sistem evaluasi pembelajaran kedokteran berbasis teknologi dan mendukung efektivitas assessment for learning jangka panjang

Resilience, Social Support, and Parenting Self-Efficacy: Insights from Young Mothers Married as Children Hermita, Matrissya; Rohani, Alia; Suhatril, Ruddy J
Islamic Guidance and Counseling Journal Vol. 8 No. 2 (2025): Islamic Guidance and Counseling Journal
Publisher : Institut Agama Islam Ma'arif NU (IAIMNU) Metro Lampung in collaboration with Asosiasi Bimbingan dan Konseling Indonesia (ABKIN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25217/0020258657000

Child marriage represents a significant social concern with persistent consequences for the well-being of women and children. It adversely influences young mothers’ quality of life and their parenting practices, particularly their confidence and readiness to fulfill parental responsibilities effectively. However, limited research has systematically examined how resilience and distinct types of social support influence parenting self-efficacy (PSE) among this vulnerable population. This study aims to examine the distinct and combined contributions of resilience and social support to PSE, systematically comparing the effects of each support type on PSE among young mothers who have experienced child marriage. Furthermore, it explores how demographic factors, including marital status and reasons for marriage, are associated with variations in PSE. A cross-sectional design with purposive sampling was employed, with a sample of 110 young mothers who experience child marriage. Structured questionnaires were administered, including demographic items, the Early Intervention Parenting Self-Efficacy Scale, the Connor-Davidson Resilience Scale, and the Social Provisions Scale. Multiple regression analysis, including Analysis of Variance (ANOVA) and Multidimensional Scaling (MDS), was conducted to assess the factors influencing PSE. The results indicate that resilience and social support significantly predict PSE (R² = .630, p < .01), with social support emerging as the strongest predictor. These findings suggest that enhancing resilience and social support for young mothers can substantially improve their parenting efficacy.

Pemanfaatan Learning Management System (LMS) dalam penyelenggaraan dan analisis progress test Lestari, Winda; Setyawati, Rena Fuji Erin; Gunawan, Bhakti; Suhartini, Sri Mukti; Hermita, Matrissya; Suhatril, Ruddy J; Syah, Rama Dian
Jurnal EDUCATIO: Jurnal Pendidikan Indonesia Vol. 11 No. 1 (2025): Jurnal EDUCATIO: Jurnal Pendidikan Indonesia
Publisher : Indonesian Institute for Counseling, Education and Therapy (IICET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/1202525639

Penilaian kemampuan mahasiswa kedokteran melalui progress test merupakan komponen penting dalam evaluasi pembelajaran berbasis Problem-Based Learning (PBL), namun pelaksanaan progress test secara konvensional memerlukan sumber daya dan upaya besar untuk menyediakan umpan balik indivual secara komprehensif. Penelitian ini bertujuan untuk mengevaluasi efektivitas Learning Management Systems (LMS) V-Class sebagai media penyelenggaraan dan analisis progress test dalam konteks assessment for learning pada mahasiswa kedokteran. Penelitian ini menggunakan pendekatan kuantitatif dengan desain kuasi eksperimental. Partisipan penelitian ini sejumlah 139 mahasiswa Fakultas Kedokteran Universitas Gunadarma Angkatan 2018-2021 yang telah mengikuti pembelajaran minimal dua semester pertama. Instrumen penelitian berupa soal progress test berbasis blueprint kurikulum yang diinput ke dalam LMS. Data hasil progress test diambil dari V-Class, kemudian dilanjutkan analisis butir menggunakan Microsoft Excel, serta evaluasi capaian belajar mahasiswa berdasarkan sistem menggunakan Uji Kruskal Wallis dan dilanjutkan dengan analisis Uji Wilcoxon. Hasil menunjukkan bahwa LMS mampu menyajikan total skor dan ketepatan jawaban per soal per mahasiswa, namun belum menyediakan analisis mendalam per blok pembelajaran. Rata-rata capaian tertinggi ditemukan pada topik komunikasi (66,67-100%) dan anatomi-patologi (49,24%-61,54%). Terdapat perbedaan rerata signifikan antar angkatan pada sejumlah topik (p<0,05). Penelitian ini menyimpulkan bahwa LMS memiliki potensi sebagai media assessment for learning, namun perlu pengembangan fitur analisis individual dan umpan balik berbasis topik. Temuan berdasar hasil penelitian ini berkontribusi pada pengembangan sistem evaluasi pembelajaran kedokteran berbasis teknologi dan mendukung efektivitas assessment for learning jangka panjang

Analysis of Self-Regulated Learning and Learning Style Preference of First-Year Medical Students for E-Learning Optimization Setyawati, Rena Fuji Erin; Gunawan, Bhakti; Hermita, Matrissya; Suhatril, Ruddy J; Syah, Rama Dian
Edunesia : Jurnal Ilmiah Pendidikan Vol. 6 No. 1 (2025)
Publisher : research, training and philanthropy institution Natural Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51276/edu.v6i1.1128

First-year medical students adapt to hybrid education, combining online and offline learning in the new standard era. The various features of e-learning need to accommodate students' skills in self-regulated learning and their preferences, such as learning style preference. Therefore, this research aims to analyze first-year medical students' self-regulated learning skills and learning style preferences in online learning to identify e-learning optimization needs that can facilitate their adaptation to medical education. A descriptive quantitative and qualitative narrative method was conducted through document analysis. The Online Self-Regulated Learning Questions (OSRLQs) were used to obtain quantitative descriptive data on students' self-regulated learning skills, and the learning style preference questionnaire was used to obtain data on first-year medical students. The results showed that first-year medical students require optimization in four domains of the self-regulated learning skills in online learning, including task strategies, time management, help-seeking, and self-evaluation. The analysis yielded 19 categories with three main learning style preferences: a combination of visual and auditory and a combination of visual, auditory, and kinesthetic. This analysis recommends optimizing several e-learning features to improve first-year medical students' self-regulated learning skills and learning style preferences.

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