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All Journal Jurnal Teknisi Kande : Jurnal Ilmiah Pendidikan Bahasa dan Sastra Indonesia Maneggio
Sari, Ayunita
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences Other

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Is Personal Branding The Key To Success In Simultaneous Elections In 2024? Kusnindar, Arum Arupi; Sari, Ayunita; Fitria, Bilqis Dwi; Pratama, Krisna Fino
Maneggio Vol. 1 No. 3 (2024): Maneggio-Juni
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/f7r14e91

Abstract

In the context of representative democracy, elections play a central role in determining the direction of a country's policies and leadership. In Indonesia, the moment of general elections, especially the presidential and vice presidential elections, is very important to determine the political future of the nation. With the development of democracy, the phenomenon of first-time voters has emerged-a new generation that is actively involved in the political process. This study aims to examine the impact of personal branding of presidential and vice presidential candidates on novice voters in the 2023 general election. The method used is quantitative with data collection through questionnaires and data analysis using Smart PLS. The results showed that personal attributes such as honesty, professional background, populism, and wealth have a significant positive influence on the perception of personal branding of presidential and vice presidential candidates among novice voters. These findings make a significant contribution to the understanding of how personal branding elements can influence the decisions of novice voters in general elections.
Nilai Budaya Pada Buku Cerita Anak Jagoan Cilik Karya Terbit Chairil ( Pendekatan Mimetik) Sari, Ayunita; Syahriandi, Syahriandi; Rahayu, Ririn
Kande : Jurnal Ilmiah Pendidikan Bahasa dan Sastra Indonesia Vol. 5 No. 2 (2024): Kande: Jurnal Ilmiah Pendidikan Bahasa dan Sastra Indonesia
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jk.v5i2.19348

Abstract

Penelitian ini mengkaji tentang nilai budaya pada buku cerita anak Jagoan Cilik karya Terbit Chairil dengan pendekatan mimetik. Tujuan penelitian ini adalah mendeskripsikan analisis nilai budaya yang terkandung pada buku cerita anak Jagoan Cilik karya Terbit Chairil dengan menggunakan pendekatan mimetik. Jenis penelitian ini adalah deskriptif kualitatif, adapun jenis penelitian yaitu deskriptif. Data dalam penelitian ini berupa kalimat dan paragraf yang mengandung nilai budaya. Sumber data dalam penelitian ini ialah buku Jagoan Cilik karya Terbit Chairil terbitan tahun 2008. Teknik pengumpulan data dilakukan dengan menggunakan teknik baca dan teknik catat. Hasil penelitian yang diperoleh adalah sebanyak 21 data. Keseluruhan data yang diperoleh terdiri dari 3 data Hubungan Manusia dengan Tuhan (HMT), 11 data Hubungan Manusia dengan Manusia (HMM), 3 data Hubungan Manusia dengan Alam (HMA) dan 4 data Hubungan Manusia dengan Personal/diri sendiri.
PENERAPAN REGRESI LINEAR BERGANDA UNTUK MEMPREDIKSI DIABETES SECARA DINI Sari, Ayunita; Putri, Dian Utami
JURNAL TEKNISI Vol 3, No 1 (2023): February 2023
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/teknisi.v3i1.1255

Abstract

Diabetes is a long-lasting disease characterized by high or above normal blood sugar (glucose) levels. Lack of public information about diabetes and constraints on the problem of hospital costs make people reluctant to check themselves at the health center, therefore this can help people find information early on to better maintain their health so they don't suffer from diabetes. Predictive efforts are needed to find out the approximate outcome of diagnosing diabetes in someone early on with Pregnancies, Glucose (sugar), BloodPressure (blood pressure), SkinThickness, Insulin, BMI (Weight), DiabetesPedigreeFunction, Age (Age). Furthermore, predictions use the regression method where there are 7 more methods including (1) Linear Regression, (2) Support Vector Regression - Linear, (3) Support Vector Regression - RBF, (4) Decision Tree Regression, (5) Random Forest Regressor, ( 6) Gradient Boosting Regression, (7) NLP Regressor applied in this study. The aim of the research is to be able to determine the best regression method based on 7 regression methods with the best accuracy value that will be used in the deploy process to predict the outcome of diagnosing diabetes in someone from an early age. Decision tree regression as the best method among other regression methods in 4 accuracy tests with ratios of 90:10, 80:20, 70:30 and 60:40.Keywords: diabetes, decision tree, regressionDiabetes merupakan penyakit yang berlangsung lama ditandai dengan kadar gula (glukosa) darah yang tinggi atau diatas normal. Kurangnya informasi masyarakat mengenai penyakit diabetes dan kendala masalah biaya kerumah sakit membuat masyarakat enggan untuk memeriksakan dirinya ke puskesmas, oleh karena itu ini dapat membantu masyarakat mengetahui informasi sejak dini untuk lebih menjaga kesehatan agar tidak menderita diabetes. Diperlukannya upaya prediksi untuk mengetahui perkiraan hasil diagnose diabetespada seseorang sejak dini dengan Pregnancies, Glucose (gula), BloodPressure (tekanan darah), SkinThickness , Insulin, BMI (Berat Badan), DiabetesPedigreeFunction, Age (Umur). Selanjutnya prediksi menggunakan metode regresi dimana terdapat 7 metode lagi meliputi (1) Linear Regression, (2) Support Vector Regression Linear, (3) Support Vector Regression RBF, (4) Decision Tree Regression, (5) Random Forest Regressor, (6) Gradient Boosting Regression, (7) NLP Regressor yang diterapkan dalam penelitian ini. Tujuan penelitian untuk dapat menentukan metode regresi terbaik berdasarkan 7 metode regresi dengan nilai akurasi paling terbaik yang akan digunakan dalam proses pengolahan deploy untuk prediksi hasil diagnose diabetespada seseorang sejak dini. Decision tree regression sebagai metode terbaik diantara metode regresi lainnya dalam 4 pengujian akurasi dengan rasio 90:10, 80:20, 70:30 dan 60:40.Kata Kunci: diabetes, decision tree, regresi
Co-Authors Fitria, Bilqis Dwi Kusnindar, Arum Arupi Pratama, Krisna Fino Putri, Dian Utami Rahayu, Ririn Syahriandi Syahriandi