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K-Means Cluster Analysis for District or City Clustering in Bengkulu Province based on The Number of Base Transceiver Stations and The Strength of Cell Phone Signal Anisa Rahmawati; Endah Setyowati
CESS (Journal of Computer Engineering, System and Science) Vol 8, No 1 (2023): January 2023
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v8i1.40913

Abstract

The existence of a Base Transceiver Station (BTS) and the strength of cell phone signals in an area have greatly affected the ease of communication and exchanging information between people. This is one aspect to measure technological developments in a region. This study aims to use the K-Means algorithm to classify districts or cities in Bengkulu Province based on the proportion of BTS presence, the proportion of villages with strong telephone signals, and the proportion of villages with 4G internet signals. There are three clusters based on these three variables and there are still significant differences between districts or cities in Bengkulu Province. The output of this study becomes an input for the Bengkulu provincial government to be able to pay attention to the distribution of communication infrastructures in their province.
ANALYSIS OF INDONESIA ECONOMIC GROWTH BASED ON INVESTMENT VALUE AND HUMAN DEVELOPMENT INDEX USING AN ECONOMETRIC APPROACH Endah Setyowati
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 10, No 2 (2022): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsunimus.10.2.2022.43-53

Abstract

The study aims to determine the effect of the Human Development Index (HDI) variable and investment variables which include Domestic Investment and Foreign Investment on the Gross Regional Domestic Product (GRDP) of 34 provinces in Indonesia in 2015-2019. The method used in this research is panel regression analysis. The results of the study indicate that the best panel data regression model for modeling GRDP is the Random Effect Model (REM). Based on the model formed, it is known that the variables HDI, Domestic Investment, and Foreign Investment have a significant positive effect on GRDP. These results are consistent with the theory and hypothesis that the higher the value of the HDI, Domestic Investment, and Foreign Investment, the higher the value of the GRDP variable. The coefficient of determination shows a moderate value of 58.9%, so it is suspected that there are other variables that can affect GRDP. Based on the regression model formed, if all independent variables have the same value for all provinces, then the province with the highest GRDP value is Jakarta.
Peningkatan Kemampuan Santri TPQ Abdul Qadir Ponorogo melalui Pengenalan Tajwid dengan Metode Sorogan Endah Setyowati; Eva Nurfaidah; Lailatul .; Rhisma Binti Latifah
Al-Khidmah Jurnal Pengabdian Masyarakat Vol. 3 No. 2 (2023): OKTOBER
Publisher : Institute for Research and Community Service (LPPM) of the Islamic University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56013/jak.v3i2.2423

Abstract

Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan kemampuan santri TPQ Abdul Qadir di Desa Duri, Slahung, Ponorogo, dalam mempelajari tajwid. Pendekatan yang digunakan dalam kegiatan pengabdian ini adalah pendekatan Asset Based Community-driven Development (ABCD). Melalui pendekatan ABCD ini, tim pengabdian memberikan kegiatan pengenalan dan pembelajaran terhadap santri TPQ Abdul Qadir dengan metode sorogan. Metode sorogan ini menerapkan sistem belajar dimana setiap santri maju satu per satu untuk membaca dan menguraikan isi kitab di hadapan seorang guru. Pada TPQ Abdul Qadir ini dibagi menjadi tiga jenjang yaitu jenjang iqro’ 1-3 yang berfokus pada pengenalan huruf hijaiah dan persiapan pengenalan tajwid, lalu jenjang iqro’ 4-6 yakni pengenalan tajwid untuk para santri, dan jenjang Al-Qur’an yang berfokus pada pengenalan tajwid lanjutan melalui pengoreksian dari tim pengabdian terhadap bacaan yang disetorkan oleh para santri. Hasil dari penggunaan metode sorogan untuk meningkatkan kemampuan santri dalam membaca Al-Qur'an menunjukkan adanya peningkatan, dimana mereka menguasai bacaan sesuai dengan tajwidnya dan mengetahui bagaimana cara membaca Al-Qur'an dengan baik dan benar.
Perbandingan Model Dinamis dan Neural Network pada Pemodelan Kontribusi Total Aset Perbankan Syariah terhadap Pertumbuhan Ekonomi di Indonesia Endah Setyowati
Journal of Mathematics, Computations and Statistics Vol. 7 No. 1 (2024): Volume 07 Nomor 01 (April 2024)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v7i1.1943

Abstract

Tujuan dari penelitian ini adalah mendapatkan model terbaik untuk pertumbuhan ekonomi Indonesia berdasarkan nilai total aset perbankan syariah. Pertumbuhan ekonomi di Indonesia dapat diwakili oleh nilai PDB (Produk Domestik Bruto) yang diduga memiliki hubungan dan dipengaruhi oleh besar kecilnya nilai total aset perbankan syariah. Pemodelan PDB ini menggunakan pendekatan model dinamis dan neural network, diantaranya model Distributed Lag, Koyck, Autoregressive Distributed Lag (ARDL), Feedforward Neural Network (FFNN), dan Deep Learning Neural Network (DLNN). Data yang digunakan adalah data triwulan PDB atas dasar harga konstan dan total aset perbankan syariah (terdiri dari total aset Bank Umum Syariah dan Unit Usaha Syariah) periode 2015-2023. Hasil analisis menunjukkan bahwa model terbaik untuk memodelkan nilai PDB berdasar total aset perbankan syariah adalah model ARDL(2, 2) dengan tingkat akurasi kesalahan (MAPE) sebesar 1,227%. Model terbaik tersebut menunjukkan bahwa data PDB dipengaruhi oleh kondisi nilai PDB dan total aset perbankan syariah hingga dua periode waktu sebelumnya. Kesalahan model tersebut juga cukup kecil, sehingga menunjukkan bahwa variabel total aset perbankan syariah mampu memodelkan nilai PDB dengan baik.
ANALYSIS OF THE GREEN ECONOMY SUSTAINABILITY STATUS IN INDONESIA USING MULTIDIMENSIONAL SCALING Endah Setyowati; Anisa Rahmawati
Elastisitas : Jurnal Ekonomi Pembangunan Vol. 7 No. 1 (2025): Elastisitas, Maret 2025
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/e-jep.v7i1.01

Abstract

This current study aims to investigate the sustainability of the Green Economy Index assessment in Indonesia. The green economy is an economic model that carries out economic activities while taking into account environmental sustainability and social welfare. The multidimensional scaling through the Rapid Appraisal for Green Economy Index (Rap-GEI) ordination technique was employed in this study. Rap-GEI is a technique for assessing the sustainability of the green economy in Indonesia according to a number of attributes that are easy to assess multidimensionally. The results of the current study show that the sustainability status of the GEI assessment is less sustainable (45.47%) for the environmental dimension, quite sustainable (56.02%) for the economic dimension, and quite sustainable (55.30%) for the social dimension. The most sensitive attributes that require improvement are managed waste and share of renewable energy (environmental dimension), agricultural productivity and industrial sector labor productivity (economic dimension), as well as poverty rate and life expectancy (social dimension). In general, the results show that two of the three dimensions, namely economic and social, have a fairly good rating, but the environmental dimension still shows a poor rating and needs to be improved.