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All Journal Journal of Law, Poliitic and Humanities MULTIPLE: Journal of Global and Multidisciplinary Journal of Data Science Methods and Applications
Marcella Azzahra
Unknown Affiliation
Religion Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Other

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Peningkatan Kesejahteraan Lanjut Usia (Lansia) Dalam Perspektif Hukum Di Panti Sosial Tresna Werdha Budi Mulia 2, Jakarta Muthia Sakti; Sulastri; Dwi Aryanti Ramadhani; Samuel Arthur Hulu; Sherlyta Ramadhani; Rangga Wira Syahputra; Marcella Azzahra; Erina Nur Afifa
urn:multiple://2988-7828multiple.v3i14
Publisher : Institute of Educational, Research, and Community Service

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Abstract

Lansia adalah seseorang yang telah memasuki usia 60 tahun ke atas dan merupakan kelompok umur pada manusia yang telah memasuki tahapan akhir dari fase kehidupannya. Kelompok yang dikategorikan lansia ini akan terjadi suatu proses yang disebut aging process atau proses penuaan sehingga muncul berbagai macam masalah kesehatan yang sering terjadi pada lansia, seperti gangguan pendengaran, nyeri pada punggung dan leher, osteoarthritis, jantung, diabetes militus, kolesterol dan hipertensi. Namun, ketika menghadapi masa tua ini banyak dari mereka yang malah diabaikan oleh keluarganya dengan menitipkan orang tuanya ke panti sosial. Tujuan dari penelitian ini adalah untuk untuk menganalisis dan mengkaji permasalahan yang dihadapi lansia serta mengevaluasi prinsip-prinsip lansia guna merumuskan strategi peningkatan kesejahteraan mereka secara holistik. Penelitian ini menggunakan pendekatan deskriptif kualitatif dengan pengumpulan data melalui observasi, wawancara dan juga studi literatur. Hasil penelitian didapatkan bahwa proses penuaan membawa berbagai macam tantangan pada lansia, seperti penurunan Kesehatan fisik, gangguan psikologi keterbatasan aktivitas sosial, dan penurunan ekonomi. Penerpan prinsip-prinsip lansia seperti kemandirian, partisipasi, perawatan, pemenuhan diri dan martabat terbukti dapat membantu meningkatkan kualitas hidup lansia secara menyeluruh. Program pengabdian Masyarakat di Panti Sosial Tresna Werdha Budi Mulia 2 menegaskan pentingnya sinergi antar keluarga, mesyarakat dan pemerintah dalam mendukung kesejahteraan lansia melalui edukasi, dukungan sosial, dan perlindungan hak-hak mereka.
Application of The Principle of Freedom of Contract In The Rusunawa Lease Agreement Between Residents Affected by Eviction of Jakarta (Case Study of Eviction Affected Residents Who Live In Rusunawa Rawa Bebek) Marcella Azzahra; Ridha Wahyuni
Journal of Law, Politic and Humanities Vol. 4 No. 5 (2024): (JLPH) Journal of Law, Politic and Humanities (July-August 2024)
Publisher : Dinasti Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jlph.v4i5.520

Abstract

This study aims to evaluate the implementation of the principle of freedom of contract in lease agreements involving residents displaced by eviction and to outline the legal measures available to these residents to prevent future evictions. The research employs an Empirical Juridical method and an analytical descriptive approach, incorporating a case study approach. The findings reveal that, while the principle of freedom of contract underpins agreements, it is not evident in the case of residents evicted from the Ciliwung river area and relocated to the Rawa Bebek flats. These residents are compelled to use a lease agreement method that does not reflect the principle of freedom of contract, forcing them to accept the terms imposed. From the perspective of the evicted residents, the principle of freedom of contract is absent in the lease agreement process. To address this, residents can pursue non-litigation measures such as mediation and negotiation, as well as litigation through the courts.
Perbandingan Algoritma Naïve Bayes, Decision Tree, KNN, dan Random Forest Untuk Memprediksi Data Penduduk Penerima BPJS Di Lampung Timur Rachma Annisa W.P; Dede Aprizal; Riana Kristina Dewi; Devi Sari Ayuandita; Anisa Oktaviani; Marcella Azzahra
Journal of Data Science Methods and Applications Vol. 1 No. 1 (2025)
Publisher : Program Studi Sains Data - Institut Informatika dan Bisnis Darmajaya

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Abstract

This study aims to predict population data in Lampung Timur using various classification algorithms. The algorithms used include Naive Bayes, k-Nearest Neighbors (k-NN), Decision Tree, and Random Forest. The dataset used was derived from population data processed with RapidMiner. The data was processed using steps such as reading from Excel files, data duplication, and model training with the aforementioned algorithms. Evaluation results show that the Naive Bayes algorithm has the highest accuracy of 86.89% with good precision and recall for both BPJS and UMUM classes. Additional analysis indicates that from the dataset used, there are 1924 residents who have BPJS and 1960 residents who do not have BPJS. These results suggest that the Naive Bayes algorithm performs best in predicting population data in Lampung Timur and that there is still a significant number of residents who do not utilize BPJS services. Implementing this classification algorithm can aid in better decision-making regarding the distribution of BPJS services in Lampung Timur.
Co-Authors Anisa Oktaviani Dede Aprizal Devi Sari Ayuandita Erina Nur Afifa Muthia Sakti Rachma Annisa W.P Ramadhani, Dwi Aryanti Rangga Wira Syahputra Riana Kristina Dewi Ridha Wahyuni Samuel Arthur Hulu Sherlyta Ramadhani SULASTRI