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Jurnal Statistika dan Aplikasinya
Published by Universitas Negeri Jakarta
ISSN : -     EISSN : 26208369     DOI : https://doi.org/10.21009/JSA.041
Core Subject : Economy, Science, Education, Agriculture, Social,
Agriculture, Biological Sciences & Forestry Computer Science & IT Economics, Econometrics & Finance Social Sciences Other
Jurnal Statistika dan Aplikasinya JSA is dedicated to all statisticians who wants to publishing their articles about statistics and its application. The coverage of JSA includes every subject that using or related to statistics.
Arjuna Subject : Matematika - Statistik dan Probabilitas
Articles 169 Documents
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Analisis Non-Hierarchical Clustering dan Lagrangean Multiplier dalam Penentuan Bobot Portofolio Optimal Saham Perbankan Indonesia Putri Isnaini Cahyaning Baiti; Jus Prasetya
Jurnal Statistika dan Aplikasinya Vol 6 No 2 (2022): Jurnal Statistika dan Aplikasinya
Publisher : Program Studi Statistika FMIPA UNJ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.06219

Abstract

Investment banking is a financial entity. Investment banking is an important financial intermediary that is indispensable in the capital market. The increasing interest of investors in investing in the stock market has increased because the stock market offers flexible and transparent money options opportunities for risk sharing with the potential for positive returns. Every investor wants a high rate of return with a low risk value. Risk cannot be eliminated, but can be minimized. Clustering means finding and defining a number of clusters (or groups) in a data set. Grouping is done based on numerical equations or distances (dissimilarities). The k-means algorithm is a grouping algorithm based on distance. In the k-means algorithm, the smaller the distance between the samples, the higher the similarity. The k-medoids algorithm is used to find medoids in a cluster which is the center point of the cluster. The return value or commonly known as the return on the funds invested in the investment. Portfolio is a collection of several investment instruments formed with the aim of meeting investment goals. obtained 5 clusters using k-means algorithm with total of wss 23,606. The optimal portfolio weight percentage for each stock formed is BMAS (9.11%%), BANK (32.78%), ARTO (28.84%), BBYB (16.72%), and BBHI (12.54%). Furthermore, from the results of the optimization calculations that have been obtained,the expected return portfolio value is and the portfolio variance is . Investing Rp.1.000.000.000,-, then the expected return value that will be obtained when choosing this portfolio is Rp.11.094.300,-.
Penggerombolan Desa di Jawa Barat Berdasarkan Daerah Rawan Bencana Defri Ramadhan Ismana; Seta Baehera; Anwar Fitrianto; Bagus Sartono; Sachnaz Desta Oktarina
Jurnal Statistika dan Aplikasinya Vol 6 No 2 (2022): Jurnal Statistika dan Aplikasinya
Publisher : Program Studi Statistika FMIPA UNJ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.06210

Abstract

Indonesia is one of the countries that has a large potential for natural disasters. Indonesia's position at the confluence of 4 continental plates makes the potential for earthquakes even greater. The tropical climate with 2 seasons makes changes in weather, temperature and wind direction quite extreme. These climatic conditions combined with the relatively diverse surface and rock topography conditions, these conditions can cause several bad consequences for the community such as hydrometeorological disasters such as floods, landslides, forest fires, and droughts. Particularly in West Java province, natural disasters that have occurred include: landslides, droughts, cyclones/typhoons, tidal waves, fires, volcanic eruptions, tsunamis, and other disasters. The purpose of this study was to cluster villages in the West Java region based on the level of disaster-prone in 2018. The research was carried out using K-Prototypes clustering and testing evaluation using the silhouette coefficient. The results showed that the optimal number of clusters in this study was nine clusters. These clusters can be distinguished based on the disaster category and the characteristics of the area.
Analisis Karakteristik Keberadaan Perbankan di Nusa Tenggara Barat Terhadap Kondisi Perekonomian Daerah Menggunakan K-Means Clustering Anisa Nurizki; Muhammad Irfan Hanifiandi Kurnia; Anwar Fitrianto; Bagus Sartono; Sachnaz Desta Oktarina; Dian Handayani
Jurnal Statistika dan Aplikasinya Vol 6 No 2 (2022): Jurnal Statistika dan Aplikasinya
Publisher : Program Studi Statistika FMIPA UNJ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.06211

Abstract

In certain areas, there are still many people who have to travel long distances to access some banks. Difficult mobility is considered to hinder business activities. The West Nusa Tenggara (NTB) Province is one of the favorite travel destinations for some foreigner tourists as well as domestic tourists because of its natural beauty and cultural diversity. the existence of some banks in the NTB Province , is important to facilitate the circulation of money. For this reason, this study aims to analyze the existence of some banks in the NTB Province and the condition of mobility in accessing themto regional economic conditions by applying K-Means clustering. Our results show that there are two clusters, , where the cluster 2 is an urban area and a tourist area. It has charactersitic has a GDP greater than cluster 1.
Regresi Data Panel Untuk Pemodelan Jumlah Penderita Tuberculosis di Kabupaten Bojonegoro Alif Yuanita Kartini; Nita Cahyani; Nilna Himawati
Jurnal Statistika dan Aplikasinya Vol 6 No 2 (2022): Jurnal Statistika dan Aplikasinya
Publisher : Program Studi Statistika FMIPA UNJ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.06212

Abstract

Tuberculosis is a type of infectious disease that is contagious and causes death. In Bojonegoro district, the number of tuberculosis patients is quite high, reaching 3,401 patients in 2019. The DOTS strategy has been used, but it is not optimal in reducing the incidence of tuberculosis. Therefore, research is needed to determine the faktors that significantly cause the incidence of tuberculosis and predict the incidence of tuberculosis for some time to come. The incidence of tuberculosis is not only influenced by the faktors causing tuberculosis but is also influenced by a certain period of time. So that in this study the panel data regression method will be used to model the number of tuberculosis patients in Bojonegoro district in 2018-2020. The variables used are the number of tuberculosis sufferers (Y), the number of stunting cases (X1), the number of trained health workers (X2), the number of proper sanitation (X3), the number of PHBS households (X4), and the number of productive age population ( X5). Based on the analysis results show that the best estimation model is using the Fixed Effect Model (FEM) approach. The variables that significantly affect the number of tuberculosis sufferers in Bojonegoro district in 2018-2020 are the number of stunting cases (X1), the number of proper sanitation (X3) and the number of productive age population (X5) with a coefficient of determination of 71%.
Analisis Spasial Kemiskinan pada Masa Pemulihan Pandemi Covid-19 di Jawa Barat Tahun 2021 Katamso Noto Santoso; Fayadh Abiyyi; Andika Roy Khian Marselino
Jurnal Statistika dan Aplikasinya Vol 6 No 2 (2022): Jurnal Statistika dan Aplikasinya
Publisher : Program Studi Statistika FMIPA UNJ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.06214

Abstract

Kemiskinan menjadi masalah yang cukup krusial terutama pada masa keterpurukan ekonomi akibat pandemi Covid-19. Kondisi perekonomian yang turun menyebabkan meningkatnya angka kemiskinan di Indonesia. Hal tersebut menyebabkan program pemberantasan kemiskinan cenderung mengalami perlambatan pada masa pandemi sehingga perlu disusun kebijakan pasca pandemi untuk mengentaskan kemiskinan. Provinsi Jawa Barat diketahui merupakan salah satu lumbung kemiskinan di Indonesia. Hal tersebut dikarenakan pada tahun 2021, Provinsi Jawa Barat merupakan penyumbang jumlah orang miskin terbanyak kedua di Indonesia. Oleh karena itu, penelitian ini bertujuan untuk menganalisis secara spasial kemiskinan di Jawa Barat sekaligus mengetahui variabel-variabel yang memengaruhinya. Analisis spasial dilakukan dengan menggunakan model spatial autoregressive (SAR) pada data cross section 27 kabupaten/kota di Jawa Barat pada tahun 2021. Hasil penelitian menunjukkan bahwa rata-rata lama sekolah, ketimpangan distribusi pendapatan, dan pengeluaran per kapita signifikan dalam memengaruhi tingkat kemiskinan di Jawa Barat. Namun, variabel persentase penduduk usia kerja yang terdampak pandemi Covid-19 dan angka harapan hidup ditemukan tidak berpengaruh secara signifikan terhadap kemiskinan di Jawa Barat.
Pembentukan Model Log Linier Tiga Dimensi pada Asosiasi Sikap Diskriminatif dan Stigma terhadap Orang dengan HIV/AIDS, Pengetahuan Komprehensif HIV/AIDS dan Tingkat Pendidikan Remaja Perempuan di Indonesia Rini Rahani; Elma Theana
Jurnal Statistika dan Aplikasinya Vol 6 No 2 (2022): Jurnal Statistika dan Aplikasinya
Publisher : Program Studi Statistika FMIPA UNJ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.06215

Abstract

Reducing Discrimination and negative stigma against people living with HIV/AIDS (PLWHA ) was one of three crucial issues in the "Getting to Zero" policy. Discrimination and negative stigma against PLWHA could be performed by anyone, including teenagers. Female adolescents, compared with male adolescents, were more discriminative toward PLWHA. Comprehensive knowledge of HIV/AIDS was essential in determining discriminatory attitudes and negative stigma. Some previous studies employed comprehensive knowledge of HIV/AIDS as the dependent variable. However, in other studies, it was employed as a determinant of discriminatory attitudes and negative stigma towards PLWHA. This study aimed to accomplish the best model of the relationship between discriminatory attitudes and negative stigma on PLWHA, comprehensive knowledge of HIV/AIDS and education level using a linear log model. This study used data from the 2017 IDHS with female adolescents as the unit of analysis. The results showed that the third order was not significant in the model. Furthermore, backward elimination showed that homogeneous association was the best model for modelling the association of the three research variables.
Regresi Ordinal Logit dan Probit pada Faktor Kesejahteraan Rumah Tangga Petani Tanaman Pangan di Provinsi Sulawesi Tenggara Titin Yuniarty Yuniarty; Erfiani; Indahwati; Anwar Fitrianto; Khusnia N. K.
Jurnal Statistika dan Aplikasinya Vol 6 No 2 (2022): Jurnal Statistika dan Aplikasinya
Publisher : Program Studi Statistika FMIPA UNJ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.06216

Abstract

Sektor pertanian memiliki sumbangsih besar dalam perekonomian Indonesia, tetapi menjadi sektor yang seringkali diidentikkan dengan kemiskinan. Hingga saat ini, pembangunan sektor pertanian belum mampu sepenuhnya meningkatkan kesejahteraan rumah tangga petani. Provinsi Sulawesi Tenggara selama 2013-2021 tercatat memiliki Indeks Nilai Tukar Petani (NTP) untuk subsektor tanaman pangan, stabil di bawah 100. Indeks NTP di bawah 100 menunjukkan bahwa kesejahteraan petani belum begitu baik. Penelitian ini bertujuan menentukan faktor determinan kesejahteraan rumah tangga petani tanaman pangan di Provinsi Sulawesi Tenggara. Status kesejahteraan merupakan peubah respon berskala ordinal dengan tiga kategori yaitu miskin, rentan miskin, dan tidak miskin. Metode regresi yang sesuai untuk peubah respon berskala ordinal adalah regresi ordinal, dengan beberapa kemungkinan fungsi hubung. Dalam kajian ini menggunakan fungsi hubung logit dan probit. Hasil analisis regresi menunjukkan bahwa umur kepala rumah tangga (X3), kepemilikan telepon seluler (X6), sumber penghasilan utama rumah tangga (X9), akses terhadap kredit usahatani (X11), dan keberadaan jaminan sosial rumah tangga (X13) berpengaruh positif dan signifikan terhadap status kesejahteraan rumah tangga petani tanaman pangan, sedangkan jumlah anggota rumah tangga (X4) dan usia kawin pertama (X5) berpengaruh negatif dan signifikan. Dengan membandingkan nilai R2 dan balanced accuracy model logit dan probit, disimpulkan bahwa model logit lebih baik dalam mengidentifikasi faktor determinan kesejahteraan rumah tangga petani tanaman pangan di Provinsi Sulawesi Tenggara daripada model probit.
Survival Analisis Durasi Menganggur Angkatan Kerja Disabilitas yang Mengalami Berhenti Bekerja Akibat Pandemi Covid1-19 Faisal Siddiq; Mohammad Dokhi
Jurnal Statistika dan Aplikasinya Vol 6 No 2 (2022): Jurnal Statistika dan Aplikasinya
Publisher : Program Studi Statistika FMIPA UNJ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.06217

Abstract

Kebijakan pembatasan aktivitas masyarakat untuk menekan laju penyebaran Covid-19 berdampak pada perekonomian nasional yang melemah. Hal tersebut berimplikasi dengan sektor ketenagakerjaan, yaitu banyak penduduk usia kerja menjadi pengangguran. Dalam situasi pandemi Covid-19, penyandang disabilitas merupakan salah satu kelompok yang tergolong rentan. Pandemi Covid-19 memperparah kondisi penyandang disabilitas yang sejatinya telah menghadapi hambatan untuk berpartisipasi aktif dalam proses pembangunan. Pada sektor ketenagakerjaan, tingkat pengangguran terbuka penyandang disabilitas pada Agustus 2021 masih mengalami peningkatan. Penyandang disabilitas memiliki kemungkinan untuk berhenti bekerja lebih tinggi dengan tingkat pemulihan yang lebih lambat. Penelitian ini bertujuan untuk mengetahui gambaran angkatan kerja penyandang disabilitas yang berhenti bekerja akibat pandemi Covid-19 beserta faktor yang memengaruhi durasi menganggur hingga mendapatkan pekerjaan kembali. Dengan menggunakan data Sakernas Agustus 2021 dan metode analisis survival diperoleh kesimpulan bahwa tingkat pendidikan, jenis kelamin, status kepala rumah tangga, dan alasan berhenti bekerja memengaruhi durasi menganggur
Peramalan Harga Saham Dengan Model Hybrid Arima-Garch dan Metode Walk Forward Arman Haqqi Anna Zili; Derick Hendri; Selly Anastassia Amellia Kharis
Jurnal Statistika dan Aplikasinya Vol 6 No 2 (2022): Jurnal Statistika dan Aplikasinya
Publisher : Program Studi Statistika FMIPA UNJ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.06218

Abstract

For an Investor, modelling and forecasting the stock prices are very important. Stock price fluctuate as time goes and these changes vary from one point of time to another. These changes can be really dangerous if ignored because the risk of loss it might create. Many models have been created with the purpose of minimizing the risk of loss. In this study, the ARIMA-GARCH model will be used to predict closing price in the stock prices which contain volatility. The reason for using the combination of the two models is due to ARIMA model unable to handle large volatility along with non-linear data. Thus, it is hoped the use of this combined model can solve this problem. The data that is used on this study is the closing price of 2 stocks that is part of the LQ45 index. In this research, the data will be used on the combined model to get the forecast price of the next day. Then, the rest of the forecast price will be found using a process called Walk Forward. After acquiring all the forecasted price, it is found that the combination of ARIMA (1,1,1)-GARCH (1,1) yield the best result in forecasting the stock prices. Then, by using MAE and RMSE to check the error of the results, it can be concluded that the ARIMA-GARCH model is a model that is able to predict stock prices well.
Analisis Sentimen pada Program Transportasi Publik JakLingko dengan Metode Support Vector Machine Faroh Ladayya; Dania Siregar; Wiligis Eka Pranoto; Hilmy Dzaky Muchtar
Jurnal Statistika dan Aplikasinya Vol 6 No 2 (2022): Jurnal Statistika dan Aplikasinya
Publisher : Program Studi Statistika FMIPA UNJ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.06221

Abstract

As a metropolitan city with high mobility, public transportation plays an important role in facilitating economic, business and government activities in DKI Jakarta. DKI Jakarta provincial government launched the JakLingko program to create an integrated, convenient, efficient, and affordable public transportation system. Knowledge of public opinion can help improve the service quality of the JakLingko program. The use of social media is becoming very popular nowadays. Through social media, anyone can easily express their opinion about an issue. It is used to obtain objective and latest public opinion. Sentiment analysis is a method that can be used to analyze public opinion. Through sentiment analysis whose data was collected from Twitter, it can be seen how the public opinion toward JakLingko program. In this study, public sentiment will be classified into positive sentiment or negative sentiment. As for the classification, the Support Vector Machine (SVM) algorithm is used.

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