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All Journal Teika Mosharafa: Jurnal Pendidikan Matematika Infomans: Jurnal Ilmu-ilmu Informatika dan Manajemen
Fidi Supriadi
Universitas Sebelas April
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Mathematics Other

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Perbandingan Model Regresi Nonlinear Polynomial, Ridge, dan Lasso untuk Prediksi Biaya Asuransi Kesehatan Berdasarkan Kerangka CRISP-DM Siti Rachmania Putri; Fidi Supriadi; David Setiadi
TeIKa Vol 15 No 2 (2025): Jurnal
Publisher : Fakultas Teknologi Informasi - Universitas Advent Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36342/3kxrvj44

Abstract

The escalating cost of healthcare necessitates accurate prediction methods for determining medical insurance premiums. This research compares the performance of three nonlinear regression models, namely Polynomial, Ridge, and Lasso, in estimating individual health insurance costs. The research process follows the CRISP-DM framework, which includes the stages of business understanding, data processing, modeling, and evaluation. The dataset used is the Medical Cost Personal Dataset from Kaggle, containing 1,338 individual data points with seven demographic and behavioral features. Six outliers in the BMI and charges features were removed using the IQR method, while categorical features were encoded with One Hot Encoding. Numerical features were transformed using second-degree Polynomial Features to capture nonlinear relationships, and then the data was split into 80% training and 20% testing. Evaluation used the Mean Squared Error (MSE) and R-squared (R²) metrics. The results indicate Ridge Regression yielded the best performance with an R² value of 0.857 and an MSE of 2.35×10⁷. This model is more stable and effective in handling multicollinearity compared to the other two models. Nevertheless, the average prediction error of approximately USD 4,800 suggests the need for increased accuracy through parameter tuning or data augmentation before being implemented in a real business environment.
Needs Analysis: Development of an LMS-Assisted DELPHI-STEAM Model to Improve Students' Computational Thinking and Character Yusfita Yusuf; Margaretha Madha Melissa; Tuti Yuliawati Wachyar; Fidi Supriadi; Shofia Annisa Ratnasari; Ucu Kosmawa; Hadian Setya Ramdani; Anggia Gantira
Mosharafa: Jurnal Pendidikan Matematika Vol. 15 No. 1 (2026): January
Publisher : Department of Mathematics Education Program IPI Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/mosharafa.v15i1.3541

Abstract

Kemajuan teknologi menuntut siswa memiliki keterampilan berpikir komputasional sekaligus karakter yang kuat. Namun, belum tersedia model pembelajaran yang mengintegrasikan kedua aspek tersebut secara simultan. Penelitian ini bertujuan melakukan analisis kebutuhan untuk mengembangkan model pembelajaran DELPHI-STEAM (Deep Learning Project Hypnoteaching-STEAM) berbasis Learning Management System (LMS). Menggunakan model pengembangan ADDIE, penelitian saat ini berada pada fase analisis. Data dikumpulkan melalui instrumen penilaian berpikir komputasional, survei karakter, protokol observasi, dan wawancara terhadap guru serta siswa di 15 sekolah negeri dan swasta di Kabupaten Sumedang. Hasil penelitian menunjukkan bahwa pengembangan model DELPHI-STEAM berbasis LMS beserta perangkat pendukungnya sangat esensial dan layak diimplementasikan. Model ini terbukti dapat meningkatkan kemampuan berpikir komputasional dan pengembangan karakter secara bersamaan. Selain itu, model ini mampu mentransformasi matematika dalam proyek STEAM menjadi pengalaman belajar yang lebih bermakna dan menyenangkan bagi siswa. Technological advancements demand that students possess both computational thinking skills and strong character development. Currently, pedagogical models that simultaneously integrate these two aspects remain scarce. This study aims to conduct a needs analysis for developing the LMS-supported DELPHI-STEAM (Deep Learning Project Hypnoteaching-STEAM) model. Adopting the ADDIE development framework, the research is currently in the analysis phase. Data were collected through computational thinking assessments, character surveys, observation protocols, and interviews involving teachers and students across 15 public and private schools in Sumedang Regency. The findings indicate that the development of the LMS-based DELPHI-STEAM model and its supporting tools is both essential and feasible. This model is designed to concurrently enhance computational thinking and character growth. Furthermore, it transforms mathematics, traditionally utilized as a mere computational tool in STEAM projects, into a more meaningful and engaging learning experience for students.
Perbandingan Kinerja Algoritma Linear Search dan Binary Search dalam Pencarian Data Revaliana Indriyani Surachman; Fidi Supriadi; Asep Saeppani; Fathoni Mahardika
Infoman's : Jurnal Ilmu-ilmu Informatika dan Manajemen Vol. 19 No. 2 (2025): Infoman's
Publisher : LPPM & Fakultas Teknologi Informasi UNSAP

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Abstract

Data searching is a fundamental aspect of computer science that affects application performance. This study aims to analyze and compare the efficiency of two basic searching algorithms, namely Linear Search and Binary Search. The research method was conducted by testing both algorithms using datasets with a varying number of elements to measure execution time and algorithm complexity. The results showed that Linear Search is more efficient for small or unsorted data, while Binary Search shows much superior performance on large sorted datasets with a time complexity of O(log n). The conclusion of this study provides guidance in choosing the right searching algorithm based on data characteristics and system requirements.
Co-Authors Anggia Gantira Asep Saeppani David Setiadi Fathoni Mahardika Hadian Setya Ramdani Margaretha Madha Melissa Revaliana Indriyani Surachman Shofia Annisa Ratnasari Siti Rachmania Putri Tuti Yuliawati Wachyar Ucu Kosmawa Yusfita Yusuf