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SPATIAL ANALYSIS: PENDEKATAN METROPOLITAN STATISTICAL AREA UNTUK PERENCANAAN PEMBANGUNAN MANUSIA DI PROVINSI JAWA TENGAH Khotimah, Dian Rizqi Khusnul
JURNAL LITBANG PROVINSI JAWA TENGAH Vol 19 No 1 (2021): Jurnal Litbang Provinsi Jawa Tengah
Publisher : Badan Riset dan Inovasi Daerah Provinsi Jawa Tengah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36762/jurnaljateng.v19i1.872

Abstract

Human development is one of the main focus of development in National Medium-Term Development Plan (RPJMN) 2020-2024. This is stated in the third of seven development agendas, "Improving Quality and Competitive Human Resources". Level of human development can be reflected through the Human Development Index (HDI). In 2020, HDI of Central Java Province is 71,87. It has reached the high-level category (70-80), but it is closer to the medium-level category (<70). HDI of Central Java Province in 2020 occupied only on the 13th position among 34 other provinces. There is a need for optimizing the conditions of human development in Central Java Province. Mapping on the quality of human development contributes to ensure equitable distribution of competencies in order to accelerate national economic recovery during pandemic. Therefore, this study aims to identify, map, and determine priority areas for human development in Central Java Province as recommendations for government in making policies. There are three different analysis method, they are descriptive analysis, spatial analysis with Moran's and LISA, and Metropolitan Statistical Area (MSA) to determine development priority areas. The variable of study is HDI values for 35 districts in Central Java Province. The result of descriptive analysis describes that the western region of Central Java Province tends to has a lower of HDI values than the center to eastern side. Based on geospatial linkages and MSA approach, the human development planning in Central Java Province should focus on the three MSA formed, namely MSA Tegal, MSA Pekalongan, and MSA Purworejo as the development priority areas.
Big Data Analysis: How Public Response to Poverty Eradication Programs in Indonesia during COVID-19 Pandemic? Khotimah, Dian Rizqi Khusnul
The Sunan Ampel Review of Political and Social Sciences Vol. 1 No. 1 (2021): November
Publisher : UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15642/sarpass.2021.1.1.74-93

Abstract

Poverty eradication is the main focus of the first Sustainable Development Goals (SDGs), namely 'No Poverty'. Nationally, poverty eradication is also implied in the 2020-2024 National Medium-Term Development Plan (RPJMN) on the first and second agendas. These are economic resilience and reducing disparities between regions. Various government programs are implemented to reduce poverty. The benefits obtained by the target community need to be measured to reflect the program's success and for government evaluation. Big data through social media analysis can be empowered to gain public perceptions of poverty eradication programs. Therefore, in this study, the Twitter social media analysis approach will be used to obtain public responses regarding various poverty eradication programs in Indonesia during the COVID-19 pandemic, especially the Family Hope Program (PKH or Program Keluarga Harapan), Cash Intensive Work (PKT or Padat Karya Tunai), Direct Cash Assistance (BLT or Bantuan Langsung Tunai), and Pre-Employment Cards (Kartu Prakerja). Those data were analyzed using the text mining method. The results of this study indicate that the public response generally accepts and supports the four poverty eradication programs in Indonesia. Those analysis results can be used as evaluation material and input for the Government to make the following policy.
Optimalisasi Kinerja Website Badan Pusat Statistik: Pendekatan Customer Satisfaction Index (CSI) dan Importance and Performance Analysis (IPA) Sahara, Emi Musdalifah; Khotimah, Dian Rizqi Khusnul; Sasirangan, Dinar Sedah Arum Nian
Applied Information System and Management (AISM) Vol. 5 No. 2 (2022): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v5i2.25464

Abstract

Badan Pusat Statistik (BPS) berperan dalam memberikan pelayanan publik untuk penyediaan data dan informasi statistik, salah satunya melalui website BPS. Kepuasan pengguna website merupakan salah satu tolak ukur dari keberhasilan penyelenggaraan pelayanan publik tersebut. Penelitian ini bertujuan untuk memperoleh gambaran persepsi, masukan, serta harapan masyarakat terhadap website BPS melalui Survei Kepuasan Pengguna Website. Data yang diperoleh dari survei tersebut dianalisis dengan menggunakan metode Customer Satisfaction Index (CSI) dan Importance and Performance Analysis (IPA). Hasil dari penelitian adalah taraf kepuasan pengunjung website BPS memiliki angka persentase sebesar 78,68%, yang termasuk kategori “Puas” dalam kriteria CSI. Namun, pada masing-masing aspek, masih terdapat gap negatif antara tingkat kepentingan dan kepuasan pengguna website. Oleh karena itu, untuk menentukan skala prioritas dalam usaha perbaikan website, digunakan metode Importance and Performance Analysis (IPA). Hasil analisis IPA menunjukkan bahwa masih terdapat lima aspek yang perlu ditingkatkan dan menjadi prioritas utama perbaikan website, yaitu: kelengkapan metadata, kesesuaian produk, kemudahan navigasi, kemudahan pencarian produk, dan kehandalan fungsi pencarian. Sementara itu, terdapat empat aspek yang sudah baik dan perlu dipertahankan yaitu: kemutakhiran produk, kemudahan memperoleh produk, ketepatan jadwal rilis dan kemudahan mengunduh produk.