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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal JSIKA JOIN (Jurnal Online Informatika) INTEGER: Journal of Information Technology DUNAMIS: Jurnal Teologi dan Pendidikan Kristiani Jurnal Sisfokom (Sistem Informasi dan Komputer) Kurios JKIE (Journal Knowledge Industrial Engineering) Jurnal Telematika BIA': Jurnal Teologi dan Pendidikan Kristen Kontekstual PASCA: Jurnal Teologi dan Pendidikan Agama Kristen SPEKTA (Jurnal Pengabdian Kepada Masyarakat : Teknologi dan Aplikasi) Unilib: Jurnal Perpustakaan SOPHIA: Jurnal Teologi dan Pendidikan Kristen Sola Gratia: Jurnal Teologi Biblika dan Praktika Jurnal Sistem Informasi Universitas Dinamika Danum Pambelum: Jurnal Teologi dan Musik Gereja eProceedings of Engineering Jurnal Informatika: Jurnal Pengembangan IT Basilius Eirene: Jurnal Agama dan Pendidikan
Yohanes Setiawan
Prodi Matematika Jurusan Matematika FMIPA Universitas Brawijaya
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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Refigurasi Daud Sebagai Pahlawan: Analisis Narasi Terhadap Teks 1 Samuel 16-18 Dengan Konsep Refigurasi Paul Ricoeur Setiawan, Yohanes
SOLA GRATIA: Jurnal Teologi Biblika dan Praktika Vol 5, No 1 (2024): SOLA GRATIA: Jurnal Teologi Biblika dan Praktika
Publisher : Sekolah Tinggi Teologi Aletheia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47596/sg.v5i1.244

Abstract

Abstract:This study aims to understand the refiguration of David as a hero through narrative analysis in 1 Samuel 16–18, using Paul Ricoeur's concept with a qualitative-descriptive approach. The analysis results show that readers in the prefiguration understand the hero, who is often described as a physically strong, brave, and heroic person born from a noble or knightly family. Configuration shows that each narrative part significantly shapes David's heroic character. Key themes such as divine election and power conflict and how tension is built through the contrast between Saul's decline and David's ascension also clearly influence the development of David's heroic character. Refiguration shows that David's heroism and leadership were a divine calling. David combined physical strength with spiritual strength, courage with wisdom, and humility with leadership charisma. David's internal character (faith, honesty, sincerity, experiences, and humility) also played a crucial role in his success as a hero or leader. Abstrak: Studi ini bertujuan untuk memahami refigurasi Daud sebagai pahlawan melalui analisis narasi dalam 1 Samuel 16-18 menggunakan konsep Paul Ricoeur dengan pendekatan kualitatif-deskriptif. Hasil analisis menunjukkan bahwa pembaca dalam prefigurasi memahami tentang pahlawan yang sering kali digambarkan sebagai seorang yang kuat secara fisik, berani, dan heroik yang lahir dari kalangan keluarga bangsawan atau ksatria. Konfigurasi menunjukkan setiap bagian narasi secara signifikan membentuk karakter kepahlawanan Daud. Tema-tema utama seperti pemilihan ilahi dan konflik kekuasaan, serta bagaimana ketegangan dibangun melalui kontras antara penurunan Saul dan kenaikan Daud juga sangat jelas mempengaruhi perkembangan karakter kepahlawanan Daud. Refigurasi menunjukkan bahwa kepahlawanan dan kepemimpinan Daud merupakan panggilan ilahi. Daud menggabungkan kekuatan fisik dengan kekuatan spiritual, keberanian dengan kebijaksanaan, dan kerendahan hati dengan karisma kepemimpinan. Karakter internal Daud (keyakinan, kejujuran, ketulusan, pengalaman dan kerendahan hati) juga memainkan peran krusial dalam menentukan keberhasilannya sebagai pahlawan atau pemimpin.
Data Mining berbasis Nearest Neighbor dan Seleksi Fitur untuk Deteksi Kanker Payudara Setiawan, Yohanes
Jurnal Informatika: Jurnal Pengembangan IT Vol 8, No 2 (2023)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v8i2.4994

Abstract

Detecting breast cancer in early stage is not straightforward. This happens because biopsy test requires time to determine whether the type is benign or malignant. Data mining algorithm has been widely used to automate diagnosis of a disease. One of popular algorithms is nearest neighbor based because of its simplicity and low computation. However, too many features can cause low accuracy in nearest neighbor based models. In this research, nearest neighbor based with feature selection is developed to detect breast cancer.  Conventional k-Nearest Neighbor (KNN) and Multi Local Means k-Harmonic Nearest Neighbor have been chosen as nearest neighbor based models to experiment. The feature selection method used in this study is filter based, namely Correlation based, Information Gain, and ReliefF. The experimental result shows that the highest recall metric of MLM-KHNN and Information Gain is 94% with 5 features. In brief, MLM-KHNN algorithm with Information Gain can increase the recall of the prediction of breast cancer compared with the conventional K-NN algorithm and have been deployed into website using Streamlit such that the model can be used to detect breast cancer from chosen Wisconsin dataset features.
Co-Authors Adzanil Rachmadhi Putra Alifah, Amalia Nur Anggraini, Sukma Dewi Anjas Ardiansyah, Muhammad Anjik Sukmaaji Ari Setiawan Bernadus Anggo Seno AjiAji Dawan, Anil Dwi Ardhani, Yuniar Edi Purwanto Ichsan Khoirudin, Machfud Lase, Iman Karyani Mastuty Ayu Ningtyas Mochamad Nizar Palefi Ma’ady Mohammad Hamim Zajuli Al Faroby Oktavia Ayu Permata Prasetyo, Waluyo Ramadhani, Cisa Valentino Cahya Rashid Syaputra, Muhammad Regita Putri Permata Riza Akhsani Setyo Prayoga Sanjaya, I Made Wisnu Adi Sari, Liliana Chandra Sari Savira, Ryanta Meylinda SIN, SIA KOK Vicky M Taufik Wachda Yuniar Rochmah Wahyu Listyanto, Ferdhyan Wardani, Ken Ratri Willianto, Henoch Yuda, M. Pradata