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Prosiding Seminar Nasional Official Statistics

semnasoffstat
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Published by Politeknik Statistika STIS

ISSN : 27721970 EISSN : 27721970 DOI : https://doi.org/10.34123/semnasoffstat.v2022i1

Core Subject : Economy, Humanities, Science, Social,

Humanities Computer Science & IT Economics, Econometrics & Finance Social Sciences

prosiding seminar ini bertujuan untuk menghasilkan berbagai pemikiran solutif, inovatif, dan adaptif terkait isu, strategi, dan metode yang memanfaatkan official statistics

Arjuna Subject : Matematika - Statistik dan Probabilitas

Articles 729 Documents

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Mengembangkan Diseminasi Official Statistics: Peluang dan Tantangan dalam Inovasi Layanan Statistik Tiyas Ambarsari; Triana Rachmaningsih; Hady Suryono
Seminar Nasional Official Statistics Vol 2021 No 1 (2021): Seminar Nasional Official Statistics 2021
Publisher : Politeknik Statistika STIS

Statistics Indonesia (BPS) functions as the main source of official statistical data and has the responsibility to disseminate data for public use. To achieve this mission, many initiatives are undertaken to create innovations that make data easier to find, use and access effectively and efficiently. The Data Needs Survey (SKD) is one of the initiatives carried out to identify statistical data needs and the level of consumer satisfaction with BPS data and services. In this paper, we will explain the dissemination method approach through websites and data portals as a statistical service innovation to develop the dissemination of official statistics based on the IPA (Importance and Performance Analysis) and gap analysis methods. The results show that the gap analysis of statistical service attributes is -0.02 to -0.31 and the IPA analysis shows that there is an opportunity for innovation development in website services in Quadrant A which is the main priority for improvement. Keywords: official statistics, dissemination, gap analysis, importance and performance analysis

Kajian Penentuan Nilai Epsilon Optimal Pada Algoritma DMDBSCAN Dan Pemetaan Daerah Rawan Gempa Bumi Di Indonesia Tahun 2014-2020 Kamilia Wafa Pakuani; Robert Kurniawan
Seminar Nasional Official Statistics Vol 2021 No 1 (2021): Seminar Nasional Official Statistics 2021
Publisher : Politeknik Statistika STIS

Area pengawasan gempa bumi dapat dilakukan dengan menemukan penyebaran poin gempa atau pengelompokan gempa acak. Density-Based Spatial Clustering of Applications with Noise (DBSCAN) adalah salah satu algoritma clustering yang disegel dari sejumlah data besar yang mengandung noise atau outlier. Penelitian sebelumnya mengubah Algoritma DBSCAN untuk secara otomatis menemukan nilai Epsilon (Eps) optimal dengan menggunakan metode Algoritma Dynamic Method DBSCAN (DMDBSCAN). Nilai parameter Eps diperoleh dari perhitungan perubahan slope atau kemiringan garis maksimum pada 3 jarak dari tetangga paling dekat dalam distribusi data. Namun, cara ini rentan terhadap perubahan kemiringan garis yang sangat jauh. Maka dari itu, penelitian ini melakukan modifikasi cara tersebut dengan mencari nilai minimal pada rentang slope antara 10% hingga 20%. Nilai Eps yang dihasilkan setelah modifikasi menunjukkan angka yang lebih baik. Oleh karena itu, cara ini diharapkan dapat menjadi referensi untuk pencarian parameter Eps dalam Algoritma DMDBSCAN yang lebih cocok dan mengetahui distribusi titik gempa di Indonesia.

Efektivitas PPKM Darurat Dalam Penanganan Lonjakan Kasus Covid-19 REZKY YAYANG YAKHAMID; NAUFAL ABDUL RAFI ZAQI
Seminar Nasional Official Statistics Vol 2021 No 1 (2021): Seminar Nasional Official Statistics 2021
Publisher : Politeknik Statistika STIS

Lonjakan kasus Covid-19 terjadi pada akhir Juni 2021 di Indonesia akibat adanya varian baru Covid-19 yang mulai menyebar. Lonjakan ini memaksa pemerintah menerapkan PPKM Darurat yang dimulai 3 Juli 2021 pada semua kabupaten/kota di Jawa dan Bali. Pelaksanaan PPKM Darurat dibarengi dengan penerapan protokol kesehatan ketat, pelaksanaan 3T yang masif, dan percepatan program vaksinasi. Penelitian ini bertujuan melihat efektivitas PPKM Darurat dalam mengatasi lonjakan kasus Covid-19 di Jawa dan Bali. Metode analisis yang digunakan antara lain box plot, diagram peta, uji Page dan uji lanjutan dengan uji Wilcoxon. Berdasarkan hasil pengujian, secara umum PPKM Darurat efektif dalam mengatasi lonjakan kasus Covid-19 mulai pada pekan kelima PPKM. Penurunan kasus berbeda antar provinsi. DKI Jakarta mulai turun pada pekan ketiga, Banten dan Jawa Barat pada pekan keempat, serta Jawa Tengah, DIY, dan Jawa Timur pada pekan kelima. Sementara itu, Bali belum juga menunjukkan penurunan kasus hingga pekan ketujuh PPKM.

Pengembangan Diseminasi Official Statistics: Transformasi Digital dalam Layanan Statistik di Masa Pandemi Covid-19 Dinar Sedah Arum Nian Sasirangan; Ambarari T; Stefanie Intan Christienova
Seminar Nasional Official Statistics Vol 2021 No 1 (2021): Seminar Nasional Official Statistics 2021
Publisher : Politeknik Statistika STIS

According to Law No. 16 of 1997 on Statistics, BPS has an important role to provide trusted official statistics to the government and public. In practice, BPS consistently strives to improve and develop the quality of statistical public service. However, the Covid-19 pandemic has serious implications and poses challenges in various sectors, including the BPS statistical public service. It was previously carried out in several ways, such as direct visits, telephone calls, website, and SILASTIK. However, the enactment of the social activities restriction during the pandemic will affect offline statistical public service activities. Therefore, BPS adapts by making policy that optimize the use of information technology, namely by using online-based SILASTIK. The result showed a significant decrease during the pandemic in the type of direct visits service, where before the pandemic reached 25.3% then changed drastically to 6.5% of all types of services. In contrast to the online-based consulting services, which previously reached 21.8% increased to 37.6%. In line with the results, costumer ratings in SILASTIK and SKD results also show an increase in costumer satisfaction of BPS statistical service during the pandemic

Perbandingan Akurasi Peramalan Curah Hujan dengan menggunakan ARIMA, Hybrid ARIMA-NN, dan FFNN di Kabupaten Malang Bestari Archita Safitri; Atiek Iriany; Ni Wayan Surya Wardhani
Seminar Nasional Official Statistics Vol 2021 No 1 (2021): Seminar Nasional Official Statistics 2021
Publisher : Politeknik Statistika STIS

Time series analysis is an observation that is built on time sequences. Time series analysis is useful in various fields, especially meteorology. One aspect of meteorology is rainfall, which can have an impact on human life. Rainfall has a complicated pattern to predict, so we need the best method for forecasting rainfall. There are several methods that can analyze the intensity of rainfall. Methods that can be used to predict rainfall are ARIMA method, Feed Forward Neural Network (FFNN) method, and hybrid ARIMA-NN. This study aims to obtain the best rainfall modeling and prediction based on the three methods above. The rainfall data used came from the Mini Weather Station (MWS) at Supiturang and Manggisari hamlets. Based on the results of the study, at Supiturang, the best model was ARIMA(1,1,1) with RMSE of 3.4326. At Manggisari, the best model is Hybrid ARIMA(1,1,1) FFNN(4-9-1) with RMSE of 3.1056.

Kaitan Karakteristik Kepala Rumah Tangga dengan Kemiskinan Anak di Nusa Tenggara Barat pada Tahun 2019 Suci Ramadhanty; Hardius Usman
Seminar Nasional Official Statistics Vol 2021 No 1 (2021): Seminar Nasional Official Statistics 2021
Publisher : Politeknik Statistika STIS

Poverty causes negative effects for children, both in the short and long term which risk depriving them of their future. West Nusa Tenggara (NTB) is one of the provinces that has a high poverty rate, and the age group most at risk for poverty is children. This study aims to study the effect of household head's characteristics on child poverty in ntb at 2019. This study uses the March 2019 Susenas data. By using the Binary Logistics Regression analysis method, this study finds that the number of Household Members, gender of household heads, employment status of household heads, and education level of household heads have a significant effect on child poverty. This study also revealed that poverty tends to be greater in children living with household heads with the number of household members > 4 people, female household heads, household heads who don't work, and household heads with low education.

Analisis Financial Distress Menggunakan Regresi Data Panel Annisa Ayu Lestari; Dwi Endah Kusrini
Seminar Nasional Official Statistics Vol 2021 No 1 (2021): Seminar Nasional Official Statistics 2021
Publisher : Politeknik Statistika STIS

A company certainly wants to avoid conditions that can lead to bankruptcy, one of the conditions that can put a company in danger of bankruptcy is financial distress. This study aims to describe financial distress and find out the factors that affect financial distress in retail companies. This research was conducted on retail subsector companies in the period 2015 to 2019 using data panel regression method. Predictor variables are current ratio (CR), net profit margin (NPM), total assets turnover (TATO) and price to book value (PBV). The financial ratio used to measure financial distress is debt service coverage ratio (DSCR). The results of the analysis show that more companies in the non-primary consumer goods sector than in primary are in financial distress. NPM has a significant effect on DSCR, while CR, TATO and PBV had no significant effect on DSCR. The coefficient of determination of the selected model is 83,90%. Keywords: Financial Distress, Panel Data Regression, Retail

Determinan Status Keterbukaan Diri Mahasiswa Tingkat Akhir Muhammad Rifqi Wardana; Budyanra Budyanra
Seminar Nasional Official Statistics Vol 2021 No 1 (2021): Seminar Nasional Official Statistics 2021
Publisher : Politeknik Statistika STIS

Final year students are required to compose a written work by applying the knowledge that has been obtained. The process of writing the final project requires guidance from a supervisor, but during a pandemic, learning activities are carried out online, including the guidance process, this becomes difficult for some students. The difficulty he faces is the lack of self-disclosure to the supervisor which, if the student's self-disclosure is low, it will hinder the preparation and guidance process. Zulkifli's research (2012) stated that 65 percent of the completion of the final project was hampered due to low self-disclosure, as well as STIS Polstat students who since the pandemic have also experienced online guidance. This study aims to provide an overview of the self-disclosure status and analyze the variables that affect the self-disclosure status of final year students of Polstat STIS Academic Year 2020/2021 by using binary logistic regression. The research data is primary data with a circular systematic sampling method. Based on the general description, it is known that final year students have low self-disclosure status as much as 22.88 percent and the rest have high status. From the logistic regression equation, it was found that the variables of student sex (OR = 2.35), self-esteem status (OR = 6.34), and personality type (OR = 2.62) with a significance level of five percent affected the self-disclosure status of final year students. Polstat STIS Academic Year 2020/2021.

Pemodelan Intervensi Untuk Menganalisis dan Meramalkan Jumlah Penumpang Pesawat di Bandara Soekarno-Hatta Akibat Pandemi Covid-19 Fahriza Rianda
Seminar Nasional Official Statistics Vol 2021 No 1 (2021): Seminar Nasional Official Statistics 2021
Publisher : Politeknik Statistika STIS

Padatnya aktivitas penerbangan di Bandara Soekarno-Hatta membuat pentingnya menganalisis data jumlah penumpang pesawat serta ramalan dari data tersebut. Data dan ramalan jumlah penumpang pesawat dapat digunakan untuk pengambilan kebijakan bagi pengelola bandara ataupun pemerintah. Namun pandemi Covid-19 yang masuk dan menyebar begitu cepat di Indonesia membuat jumlah penumpang pesawat menurun cukup drastis. Sehingga penelitian ini bertujuan untuk menganalisis dan meramalkan jumlah penumpang pesawat melalui Bandara Soekarno-Hatta akibat pandemi Covid-19. Model yang digunakan pada penelitian ini adalah model intervensi fungsi step. Hasil penelitian menunjukkan pandemi Covid-19 langsung memberikan dampak penurunan yang signifikan pada jumlah penumpang pesawat di Bandara Soekarno-Hatta sebesar 43,48 persen. Penelitian juga menghasilkan ramalan pada data training dan testing dengan persentase kesalahan rata-rata absolut sebesar 7,79 persen dan 14,07 persen. Selain itu, hasil ramalan juga menunjukkan aktivitas penerbangan Bandara Soekarno-Hatta mulai terlihat tanda-tanda pulih pada akhir tahun 2021. Dengan demikian, hasil penelitian ini diharapkan mampu membantu pengelola bandara ataupun pemerintah dalam mengambil kebijakan terkait aktivitas penerbangan di Bandara Soekarno-Hatta selama pandemi Covid-19.

Pemodelan Jumlah Pengangguran Usia Muda di Provinsi Jawa Timur Tahun 2019 dengan Regresi Binomial Negatif Agriyandi Rizaldi; Agung Priyo Utomo
Seminar Nasional Official Statistics Vol 2021 No 1 (2021): Seminar Nasional Official Statistics 2021
Publisher : Politeknik Statistika STIS

Unemployment is an actual problem in employment in Indonesia. In 2019, the number of unemployment in Indonesia was 7,10 million people, 56,02 percent or 3,98 million of whom were the young age group (15-24 years old). Youth unemployment indicates a waste of limited human resources that can hinder potential economic growth. In addition, it also has an impact on the social environment, such as crime, health problems, and poverty. East Java was the province with the second highest number of youth unemployment in Indonesia as many as 478.478 people, even though the economy showed good growth, even better than the national economic growth during 2015-2019. This study aims to analyze the variables that affect the number of youth unemployment in East Java Province in 2019. The data used are Sakernas August 2019 (backcasting). The analytical method used is negative binomial regression because it can overcome overdispersion problem in Poisson regression. The results of analysis showed that there was significant effect of the variable regional minimum wage, labor absorption in agricultural and manufacturing sector, economic growth, and APK SMA on the number of youth unemployment. Meanwhile, variable percentage of young workforce who graduate high school/equivalent and invesment had no significant effect on the number of youth unemployment.

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Rani Nooraeni

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Rani Nooraeni

Contact Email raninoor@stis.ac.id

Phone +6221-8191437

Journal Mail Official semnas@stis.ac.id

Editorial Address https://prosiding.stis.ac.id/index.php/semnasoffstat/about/contact

Location Kota adm. jakarta timur, Dki jakarta INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Rani Nooraeni

Contact Email
raninoor@stis.ac.id

Phone
+6221-8191437

Journal Mail Official
semnas@stis.ac.id

Editorial Address
https://prosiding.stis.ac.id/index.php/semnasoffstat/about/contact

Location
Kota adm. jakarta timur,

Dki jakarta

INDONESIA