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All Journal Al-Isnad: Journal of Islamic Civilization History and Humanities Local History & Heritage Indonesian Journal on Data Science
LINDA PRATIWI
Fakultas Ilmu Budaya Universitas Brawijaya
Religion Arts Humanities Computer Science & IT Law, Crime, Criminology & Criminal Justice Social Sciences

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Analisis Perbandingan Pengukuran Jarak Algoritma K-Nearest Neighbor Dengan Menggunakan Data Breast Cancer Dan Data Heart Disease Herdiesel Santoso; Pratiwi, Linda
INDONESIAN JOURNAL ON DATA SCIENCE Vol 1 No 2 (2023): Indonesian Journal on Data Science
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/ijds.v1i2.1200

Abstract

Breast Cancer is a cancerous condition that appears in the breast area. This type of cancer is often experienced by women with a characteristic feature of Breast Cancer, namely the appearance of unusual lumps in the breast area. Heart or Heart Disease is a type of Non-Communicable Disease (PTM): which results in a fairly high mortality rate. Heart Disease is caused by several risk factors including smoking, an unhealthy lifestyle, high cholesterol, hypertension, and diabetes. Based on these facts, an appropriate algorithm is needed to classify Breast Caner and Heart Disease as an effort to prevent an increase in mortality rates due to Breast Cancer and Heart Disease. And the algorithm that will be used is the K-Nearest Neighbor algorithm with 3 distance measurement methods, namely Euclidean distance, Manhattan distance, and Minkowsky distance . From the stages that have been carried out, the final results of the Euclidean distance method obtained an Accuracy value of 80.88% Breast Cancer data at K = 11, and 78.69% heart Disease data at K = 11. The Manhattan distance method obtained an Accuracy value of 89.71% of Breast Cancer data on K=11, and 78.69% of Heart Disease data on K=20.The Minkowsky distance method obtained an Accuracy value of 98.53% of Breast Cancer data on K=11, and 79.41% of Heart Disease data on K=11. This shows that the Minkowsky distance method works more optimally than the Euclidean distance and Manhattan distance methods.
Analisis Hikayat Sebagai Sumber Historiografi Islam di Indonesia Fajarul, Ahmad Anas; Pratiwi, Linda; Haqqul Yaqqin, Ahmad Tatag; Humayroh, Iftilah; Saputra, Aldi
Al-Isnad: Journal of Islamic Civilization History and Humanities Vol. 5 No. 02 (2024): Al-Isnad: Journal of Islamic Civilization History and Humanities
Publisher : UIN Raden Mas Said Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22515/isnad.v5i02.9693

Abstract

Penelitian ini bertujuan mengkaji tentang perkembangan hikayat dalam historiografi Islam di Indonesia dan bagaimana kedudukan hikayat sebagai sumber sejarah serta bagaimana bentuk fakta dan mitos di dalam hikayat. Penelitian ini menggunakan metode sejarah dengan tahapan heuristik, verifikasi sumber, interpretasi dan historiografi. Hasil penelitian ini menunjukkan Hikayat mengandung ciri-ciri yang dapat dikenal seperti istana sentris yang menceritakan kisah heroik raja atau sultan, sehingga hikayat dijadikan sebagai alat untuk melegitimasi kekuasaan dan kedudukan raja atau sultan. Dalam konteks historiografi, hikayat sering kali berfungsi sebagai sumber sejarah yang mencatat berbagai peristiwa penting, legenda dan tokoh-tokoh bersejarah dengan gaya penceritaan yang khas. Hikayat memiliki kedudukan yang penting meskipun biasanya sulit dianggap sebagai sumber sejarah primer. Kemudian, baik fakta maupun mitos dalam hikayat sama-sama memiliki nilai-nilai budaya dan dapat memberikan pemahaman yang mendalam tentang kepercayaan dan nilai-nilai yang dianut oleh masyarakat pada masa itu. Untuk mendapatkan keilmiahan dari pada sumber Historiografi Tradisional seperti Hikayat, harus diimbangi dengan menggunakan sumber sumber lain seperti catatan Tiongkok, Portugis, Barat, dan bukti arkeologis yang saling keterkaitan. Kata kunci: Hikayat, Historiografi, Islam, Indonesia
Analisis Perbandingan Pengukuran Jarak Algoritma K-Nearest Neighbor Dengan Menggunakan Data Breast Cancer Dan Data Heart Disease Herdiesel Santoso; Pratiwi, Linda
INDONESIAN JOURNAL ON DATA SCIENCE Vol. 1 No. 2 (2023): Indonesian Journal on Data Science
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/ijds.v1i2.1200

Abstract

Breast Cancer is a cancerous condition that appears in the breast area. This type of cancer is often experienced by women with a characteristic feature of Breast Cancer, namely the appearance of unusual lumps in the breast area. Heart or Heart Disease is a type of Non-Communicable Disease (PTM): which results in a fairly high mortality rate. Heart Disease is caused by several risk factors including smoking, an unhealthy lifestyle, high cholesterol, hypertension, and diabetes. Based on these facts, an appropriate algorithm is needed to classify Breast Caner and Heart Disease as an effort to prevent an increase in mortality rates due to Breast Cancer and Heart Disease. And the algorithm that will be used is the K-Nearest Neighbor algorithm with 3 distance measurement methods, namely Euclidean distance, Manhattan distance, and Minkowsky distance . From the stages that have been carried out, the final results of the Euclidean distance method obtained an Accuracy value of 80.88% Breast Cancer data at K = 11, and 78.69% heart Disease data at K = 11. The Manhattan distance method obtained an Accuracy value of 89.71% of Breast Cancer data on K=11, and 78.69% of Heart Disease data on K=20.The Minkowsky distance method obtained an Accuracy value of 98.53% of Breast Cancer data on K=11, and 79.41% of Heart Disease data on K=11. This shows that the Minkowsky distance method works more optimally than the Euclidean distance and Manhattan distance methods.
Transformasi Akulturasi Islam dalam Tradisi Grebeg Suro Desa Sumbermujur, Kabupaten Lumajang Yaqqin, Ahmad Tataq Haqqul; Pratiwi, Linda
Local History & Heritage Vol. 5 No. 1 (2025)
Publisher : Medan Resource Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57251/lhh.v5i1.1566

Abstract

This study examines the transformation of Islamic acculturation within the Grebeg Suro tradition in Sumbermujur Village. Grebeg Suro represents a fusion of Javanese cultural elements and Islamic teachings, illustrating the dynamic interplay between local beliefs and Islam. As a socio-cultural phenomenon, this tradition reflects how Islamic values engage in dialogue with indigenous customs to form a distinctive communal practice. The research aims to explore the procession of the Grebeg Suro tradition and analyze the manifestations of Islamic acculturation within it. Employing the historical method, this study reveals that the Grebeg Suro celebration in Sumbermujur Village embodies a synthesis of Islamic and local traditions, as reflected in its ritualistic proceedings. The findings highlight the adaptability of Islam in negotiating with local cultural frameworks to shape a unique religious and cultural identity. This study contributes to a deeper understanding of how religious traditions evolve through cultural interaction and adaptation.
Co-Authors Fajarul, Ahmad Anas Haqqul Yaqqin, Ahmad Tatag Herdiesel Santoso Humayroh, Iftilah Saputra, Aldi Yaqqin, Ahmad Tataq Haqqul