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All Journal International Journal of Community Service Learning Enthusiastic : International Journal of Applied Statistics and Data Science
Jayanta, Kadek
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences

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Taman Perempuan Bali: Mengejawantahkan Pemberdayaan Perempuan di Desa Kayuputih Jayanta, Kadek; Dewi, Ni Kadek Sintya; Deanik, Ni Wayan Putri Surya; Sukajaya, I Nyoman; Pramesti, Sahda Nabila
International Journal of Community Service Learning Vol. 6 No. 4 (2022): November 2022
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/ijcsl.v6i4.52848

Abstract

Salah satu bagian dari The Sustainable Development Goals (SDG’s) adalah kesetaraan gender. Mirisnya, indeks kesetaraan gender di Indonesia pada peringkat 101 dari 156 negara (World Economic Forum, 2021). Menjadi berdaya adalah hak setiap perempuan. Melalui program Perempuan Taman Perempuan Bali, pengabdian kepada masyarakat yang dilaksanakan di Desa Kayuputih, Kabupaten Buleleng ini bertujuan untuk mengatasi permasalahan tersebut. Kegiatan pengabdian ini dilaksanakan dengan pemberdayaan berupa pelatihan keterampilan dan pendampingan yang dapat menjadi pioner dalam memberdayakan perempuan. Kegiatan ini menyasar kelompok perempuan usia produktif 16-35 tahun yang berasal dari Desa Kayuputih, Kabupaten Buleleng. Kegiatan ini menghasilkan luaran berupa menurunnya minat remaja perempuan di Desa Kayuputih untuk menikah di usia muda menjadi 5% dan meningkatnya wawasan mengenai kesehatan reproduksi, kegiatan ini juga mampu menghasilkan dan melaksanakan kurikulum pembelajaran non formal pelajaran matematika dan bahasa inggris selama satu semester, Meningkatkan pengetahuan dalam memecahkan masalah matematika serta terampil dalam berkomunikasi menggunakan bahasa inggris, serta adanya kelompok remaja perempuan yang terampil dalam menari serta dilaksanakannya pagelaran seni tari. Hasil pengabdian ini diharapkan mampu mengatasi segala permasalahan kesetaraan gender yang ada di Dessa Kayuputih, Kabupaten Buleleng.
Forecasting Population Mortality Rates Using Generalized Lee-Carter Model Yudi Hartawan , I Gusti Nyoman; Pujawan, I Gusti Ngurah; Mardika Pranata, Kadek; Jayanta, Kadek
Enthusiastic : International Journal of Applied Statistics and Data Science Volume 3 Issue 1, April 2023
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/enthusiastic.vol3.iss1.art2

Abstract

The demographic process cannot be inseparable from the mortality rate. The appropriate models for forecasting mortality rates are essential in assisting governments, companies, and other agencies in formulating policies or making decisions. As one of the countries with the highest death rate, Japan is influenced by several factors. This research uses the Generalized Lee-Carter Model), which is one of the developments of the Lee-Carter (LC) model. The Lee-Carter model was prevalent by Lee and Carter (1995) as an alternative that is suspected to predict the mortality rate of an area. The first step in this research is to formulate the Generalized Lee-Carter function. Through the function formula, the estimator value of the Generalized Lee-Carter model will be searched in the second stage. And the third stage, through the Generalized Lee-Carter model, will find the RMSE value and then use it in the fourth stage, namely forecasting the future period using ARIMA. The data in this study is facilitated through www.mortality.org, which is one of the Japanese population data. The result of the study showed that the RMSE value for females was 0.01670 and 0.016292 for males. So, it concluded that the Generalized Lee-Carter Model is great for forecasting mortality rates.
Co-Authors Deanik, Ni Wayan Putri Surya I Gusti Ngurah Pujawan I Nyoman Sukajaya Mardika Pranata, Kadek NI KADEK SINTYA DEWI Pramesti, Sahda Nabila Yudi Hartawan , I Gusti Nyoman