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10.1088/1742-6596/1776/1/012049

Case studies use poverty data in Indonesia, which published by the Central Statistics Agency (BPS-Statistics Indonesia).

The Method to Analyse the Association between Objects and Variables in the Form of / x 2 Contingency Tables with Continuous Variables Additional Data

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10.5937/ejae18-26921

The data comes from the Bank of Indonesia, OECD, Moody's, and BPS-Statistics Indonesia.

The vulnerable financial issue: Capital flight in Indonesia

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10.1088/1742-6596/1821/1/012041

We applied LCA on data processed from the census conducted by BPS-Statistics Indonesia, namely the village potential (Podes) data 2018.

Latent Class Cluster for Clustering Villages Based on Socio-economic Indicators in 2018

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10.1088/1755-1315/788/1/012218

The data used secondary data from BPS-Statistics Indonesia.

Livestock farming income analysis of farm households in Indonesia

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10.1088/1742-6596/1863/1/012024

Rice production data requires rice productivity data obtained from Crop Cutting Survey by BPS-Statistics Indonesia.

Numerical Prediction of paddy weight of Crop Cutting Survey using Generalized Geoadditive Linear Mixed Model

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10.21776/ub.jiap.2021.007.01.4

The BPS-Statistics Indonesia tried to take a step to realize good governance, especially in conducting good budget management by implementing an information system of public budgeting management known as the BackOffice Information System.

How BPS-Statistics Indonesia to Handle The Effectiveness of Information System of Public Budgeting Management?

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10.30829/ZERO.V4I2.8992

By the pattern of the number of Indonesian male residents who survive, the result is close to (has similarities) to the pattern of the number of Indonesian male residents who survive that produced by the Central Statistics Agency (BPS-Statistics Indonesia).

Estimation of Indonesian Male Life Table with Survivorship Probability Method in Smoothed Way by using Coale-Demeny’s Life Table

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10.46764/TEKNIMEDIA.V2I1.31

The Central Statistics Agency (BPS-Statistics Indonesia) as a non-ministry government agency that organizes basic statistical activities upholds the quality of the data produced.

PERANCANGAN SISTEM INFORMASI PENGUKURAN KINERJA MITRA STATISTIK BERBASIS PENILAIAN 720 DERAJAT

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Bps Statistics Indonesia - Case studies use poverty data in Indonesia, which published by the Central Statistics Agency (BPS-Statistics Indonesia). [1] The data comes from the Bank of Indonesia, OECD, Moody's, and BPS-Statistics Indonesia. [2] We applied LCA on data processed from the census conducted by BPS-Statistics Indonesia, namely the village potential (Podes) data 2018. [3] The data used secondary data from BPS-Statistics Indonesia. [4] Rice production data requires rice productivity data obtained from Crop Cutting Survey by BPS-Statistics Indonesia. [5] The BPS-Statistics Indonesia tried to take a step to realize good governance, especially in conducting good budget management by implementing an information system of public budgeting management known as the BackOffice Information System. [6] By the pattern of the number of Indonesian male residents who survive, the result is close to (has similarities) to the pattern of the number of Indonesian male residents who survive that produced by the Central Statistics Agency (BPS-Statistics Indonesia). [7] The Central Statistics Agency (BPS-Statistics Indonesia) as a non-ministry government agency that organizes basic statistical activities upholds the quality of the data produced. [8]