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Robust Biplot Analysis of Natural Disasters in Indonesia from 2019 To 2021 Hilda Venelia; Khoirin Nisa; Rizki Agung Wibowo; Mona Arif Muda
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 13 No 2 (2021): Jurnal Aplikasi Statistika dan Komputasi Statistik
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/jurnalasks.v13i2.349

Abstract

Indonesia is one of the most natural disaster-prone countries in the world, frequently exposed to a range of hazards. Currently, Indonesia has 34 provinces and natural disasters that occur in each province are different, therefore it is necessary to analyze the mapping of natural disasters that often occur in each province to provide scientific analysis for risk management of the natural disasters. One of the quick steps in describing data that can be used is biplot analysis, as biplot analysis can describe a lot of data then summarized it into the form of a two-dimensional graph. The aim of this research is to map 34 provinces in Indonesia based on the incidence of natural disasters from 2019 to 2021 using robust biplot analysis. Based on the result, robust biplot analysis can explain 87,9% of the information on natural disasters in every province in Indonesia. Lampung, Bengkulu, Bangka Belitung, Special Region of Yogyakarta, North Sulawesi, West Sulawesi, Southeast Sulawesi, Gorontalo, East Nusa Tenggara, Bali, Maluku, West Maluku, Papua, and West Papua are provinces that have similar natural disaster characteristics. Flood, tornado and forest and land fires are natural disasters that often occur in Indonesia. The provinces that have the highest risk of flood, landslide, and tornado were West Java, Central Java, and East Java. Then, the provinces with the highest risk of forest and land fires were Aceh and South Kalimantan.
SIMULASI PEMILIHAN METODE ANALISIS CLUSTER HIRARKI AGGLOMERATIVE TERBAIK ANTARA AVERAGE LINKAGE DAN WARD PADA DATA YANG MENGANDUNG MASALAH MULTIKOLINEARITAS Rizki Agung Wibowo; Khorin Nisa; Ahmad Faisol; Eri Setiawan
Jurnal Siger Matematika Vol 1, No 2 (2020)
Publisher : FMIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (435.947 KB) | DOI: 10.23960/jsm.v1i2.2497

Abstract

Multikolinearitas adalah hubungan linear yang ada di antara variabel independen,  pada analisis klaster efek yang ditimbulkan oleh multikolinearitas berbeda, dikarenakan pada dasarnya multikolinearitas adalah bentuk pembobotan implisit.  Analisis komponen utama dapat digunakan untuk mereduksi jumlah himpunan peubah yang banyak dan saling berkorelasi menjadi peubah-peubah baru yang  tidak berkorelasi dengan mempertahankan sebanyak mungkin keragaman data tersebut, dengan menggunakan hasil analisis komponen utama dilakukan analisis klaster menggunakan metode average linkage dan Ward, yang kemudian akan dipilih metode terbaiknya berdasarkan nilai indeks Dunn dan indeks RS, didapat kesimpulan bahwa metode Ward adalah metode terbaik dibandingkan average linkage yang ditinjau berdasarkan indeks RS, sedangkan dengan menggunakan indeks Dunn didapatkan kesimpulan bahwa metode average linkage adalah metode terbaik dibandingkan Ward.
Perbandingan Pembobot Welsch dan Tukey Bisquare pada Regresi Robust S-estimator Nurhafifah, Fifi; Khoirin Nisa; Nusyirwan; Rizki Agung Wibowo
Sciencestatistics: Journal of Statistics, Probability, and Its Application Vol. 2 No. 2 (2024): JULY
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/sciencestatistics.v2i2.6156

Abstract

Regresi robust merupakan sebuah metode yang dikembangkan untuk memiliki kinerja yang baik ketika data yang dianalisis menyimpang dari asumsi yang mendasari, misalnya terdapat pencilan yang dapat menyebabkan galat menjadi tidak berdistribusi normal. Salah satu metode estimasi pada regresi robust adalah S-estimator, metode ini memiliki fungsi pembobot antara lain pembobot Welsch dan Tukey Bisquare. Pada penelitian ini, kami membandingkan bobot-bobot pada metode S-estimator pada data berukuran: 30, 60, 100 dan 200 yang diberikan kontaminasi pencilan sebesar: 5%, 10%, 15%, 20%, 25% dan 30%. Berdasarkan hasil simulasi diperoleh bahwa kedua pembobot menghasilkan nilai MSE (Mean Square Error) dan bias yang serupa. Sehingga dapat disimpulkan bahwa kedua pembobot memberikan hasil yang sesuai dan sama baiknya pada regresi S-estimator. Robust regression is a method developed to have good performance when the analyzed data deviates from the underlying assumptions, for example, there are outliers that can cause errors to be not normally distributed. One of the estimation methods in robust regression is the S-estimator, this method has weighting functions, including the Welsch and Tukey Bisquare weights. In this study, we compared the weights in the S-estimator method on data sizes: 30, 60, 100 and 200 which were given outlier contamination of: 5%, 10%, 15%, 20%, 25% and 30%. Based on the simulation results, it is found that the two weights produce similar MSE (Mean Square Error) and bias values. So it can be concluded that the two weights provide appropriate and equally good results in the S-estimator regression
Robust Clustering of Open Access Journal Based on Scopus Journal Metrics Database Wibowo, Rizki Agung; Nisa, Khoirin; Samosir, Amril
Lentera Pustaka: Jurnal Kajian Ilmu Perpustakaan, Informasi dan Kearsipan Vol 10, No 2 (2024): December
Publisher : Library and Information Science Study Program, Faculty of Humanities, Univ. Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/lenpust.v10i2.68282

Abstract

Background: Open-access is free online access to articles, journal, conferences proceedings, book series and trade journal which provides unrestricted and permit the users to read, download, print, copy and link to the articles. Many articles that discuss the journal metrics using basic statistical methods to discribe the journal.Objective: This research groups journals based on numerical quality measures, identifying quality characteristics for each group. The findings provide a reference for researchers to select suitable journals and for journal owners to improve journal quality.Methods: There is another method to describe the open-access journal by grouping it into groups with the homogeneous characteristics based on five types of numerical quality measure that are analyzed simultaneously, namely cluster analysis. By using cluster analysis, the article’s owner can determine which journals he can choose to publish it in according to the desired journal quality. Based in the result, 5146 open-access journals can be divided into four clusters by using CLARA algorithm. Cluster 1, 2 and 3 have high characteristics in all numerical quality measure and cluster 4 have low characteristics in all numerical quality measure. So that researchers can choose journals in clusters 1, 2, and 3 as a place to publish their research by adjusting the journal's scope.Results: This study demonstrates that the CLARA algorithm successfully grouped 5146 open-access journals indexed by SCOPUS into four clusters based on quality characteristics. Cluster 1 consists of 39 journals with high values across all quality variables, Cluster 2 includes 50 journals with similarly high values, Cluster 3 contains 430 journals with comparable characteristics, and Cluster 4, comprising 4627 journals, exhibits low values in all quality variables. Furthermore, the majority of journals (89.914%) have numerical quality measures below the average.Conclusion: This study concludes that journals in Clusters 1, 2, and 3 can be recommended as suitable options for researchers to publish their work, considering the relevance of the journal's scope. Additionally, these findings can serve as a reference for journal owners to improve the quality of their journals to meet higher standards.
PELATIHAN PENGGUNAAN WPS OFFICE SEBAGAI SARANA PENYUSUNAN LAPORAN KEUANGAN PADA UMKM YANG DIKELOLA OLEH IBU-IBU PKK DI SUMBER MULYO TANGGAMUS Wibowo, Rizki Agung; Wuryanti, Lestari; Alfredo, Harold Kevin; Rahmawati, Hamida Nur
Jurnal Bakti Masyarakat Manajemen Vol 4, No 1 (2024): Volume 4 Nomor 1 Tahun 2024
Publisher : Program Studi Manajemen Fakultas Ekonomi dan Manajemen Universitas Malahayati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/jbmm.v4i2.18952

Abstract

Penyusunan laporan keuangan yang baik merupakan kunci berkembangnya bisnis. Laporan keuangan yang disusun tidak baik akan merusak usaha tersebut dalam jangka panjang. Ibu - ibu PKK di Tanggamus yang memiliki bisnis skala kecil sangat membutuhkan pelatihan laporan keuangan agar mereka mengetahui pengeluaran - pengeluaran yang mereka miliki dengan menggunakan laba bisnis dengan harapan agar mereka bisa lebih disiplin menggunakan laba kotor usaha mereka di masa depan, dan tidak dikeluarkan sebagian besar untuk kepentingan pribadi. Kami memberikan pelatihan penggunaan WPS Office sebagai alternatif Microsoft Office dengan fitur dan cara penggunaan yang sama. Hasil dari pelatihan ini adalah begitu antusiasnya peserta pelatihan untuk belajar menggunakan WPS Office khusunya sebagai aplikasi penyusun laporan keuangan usaha mereka.
Pemberdayaan Masyarakat dalam Digitalisasi Keuangan UMKM melalui Pelatihan LibreOffice Calc Agung Wibowo, Rizki; Wuryanti, Lestari; Alfredo, Harold Kevin; Rahmawati, Hamida Nur; Pratama, Bagas Putra
DEDIKASI: Jurnal Pengabdian Masyarakat Vol 7 No 1 (2025): Dedikasi: Jurnal Pengabdian Masyarakat, Januari-Juni 2025
Publisher : Pusat Pengabdian Masyarakat LPPM IAIN Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32332/sedhz982

Abstract

Penyusunan laporan keuangan yang baik merupakan kunci berkembangnya bisnis. Laporan keuangan yang disusun tidak baik akan merusak usaha tersebut dalam jangka panjang. Ibu - ibu Pemberdayaan Kesejahteraan Keluarga di Tanggamus yang memiliki bisnis skala kecil sangat membutuhkan pelatihan laporan keuangan agar mereka mengetahui pengeluaran - pengeluaran yang mereka miliki dengan menggunakan laba bisnis dengan harapan agar mereka bisa lebih disiplin menggunakan laba kotor usaha mereka di masa depan, dan tidak dikeluarkan sebagian besar untuk kepentingan pribadi. Tujuan dari kegiatan ini adalah membantu para ibu - ibu yang tergabung dalam Pemberdayaan Kesejahteraan Keluarga untuk lebih melek teknologi terhadap penggunaan aplikasi alternatif Microsoft Excel, yaitu LibreOffice Calc. Kami memberikan pelatihan penggunaan LibreOffice sebagai alternatif Microsoft Office dengan fitur dan cara penggunaan yang sama. Hasil dari pelatihan ini adalah begitu antusiasnya peserta pelatihan untuk belajar menggunakan LibreOffice Calc khusunya sebagai aplikasi penyusun laporan keuangan usaha para Ibu - Ibu yang tergabung dalam kelompok Pemberdayaan Kesejahteraan Keluarga. Kata kunci:  LibreOffice, Pemberdayaan Kesejahteraan Keluarga, Laporan, Keuangan, UMKM
Inovasi Google Sites Sebagai Media Pemasaran Usaha Mikro Kecil Dan Menengah Studi Kasus Pada Bouquet Bunga Samosir, Amril; Wibowo, Rizki Agung
International Research on Big-Data and Computer Technology: I-Robot Vol 9, No 1 (2025): April
Publisher : UNIVERSITAS DHARMA WACANA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53514/ir.v9i1.620

Abstract

Penerapan website sebagai strategi pemasaran efektif bagi UMKM, termasuk bisnis Filo Bouquet di sektor florist, untuk meningkatkan daya saing dan memperluas pasar. Studi ini mencakup analisis kebutuhan, perancangan website responsif dengan fitur katalog produk, pemesanan online, dan pembayaran digital. Hasil evaluasi menunjukkan peningkatan kunjungan 180%, konversi 25%, dan penjualan 35%, dengan kepuasan pelanggan mencapai 82%. Meski demikian, tantangan terkait optimasi kecepatan, pengembangan fitur, dan promosi digital masih perlu diperbaiki. Rekomendasi mencakup optimasi teknologi, penambahan fitur pelacakan pesanan, dan penguatan promosi digital untuk pertumbuhan berkelanjutan
ROBUST CLUSTERING OF COVID-19 PANDEMIC WORLDWIDE Wibowo, Rizki Agung; Nisa, Khoirin; Venelia, Hilda; Warsono, Warsono
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 2 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (459.524 KB) | DOI: 10.30598/barekengvol16iss2pp687-694

Abstract

COVID-19 pandemic is described as the most challenging crisis that humans have faced since World War II. From December 2019 until August 2021 based on the dataset provided by WHO, globally 219 countries in the world are affected by this virus. There are 205.338.159 cases cumulative total and 4.333.094 death cumulative total caused by this virus. In this paper, the data of 219 countries are analyzed using a robust clustering method namely K-Medoids cluster analysis. Based on the result, 219 countries in the world can be divided into five clusters based on four COVID-19-related variables, i.e. the number of cases cumulative total, death cumulative total, positive cases per capita, and case fatality rate. The distribution of the countries in five clusters was as follows; the first cluster contained 48 countries, the second cluster contained 3 countries, the third and fourth clusters contained 16 and 89 countries respectively, and the last cluster contained 63 countries. The largest cluster is the fourth one, containing countries that form a cluster with a centroid below the world average, and the smallest cluster is the second cluster with the high cases in all attributes, consisting of the USA, India, and Brazil.
Mengatasi Quarter Life Crisis dan Meningkatkan Potensi Diri Melalui Metode Self-Healing Pratama, Reza Hardian; Pratama, Muhammad Irfan; Anita, Anita; Afredo, Harold Kevin; Wibowo, Rizki Agung
Welfare : Jurnal Pengabdian Masyarakat Vol. 2 No. 2 (2024): Welfare : June 2024
Publisher : Fakultas Ekonomi dan Bisnis Islam, IAIN Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/welfare.v2i2.1447

Abstract

The Quarter Life Crisis (QLC) is a phenomenon often experienced by teenagers in their early 20s. It can cause anxiety, confusion, and a sense of loss of direction in life. Therefore, it is important to equip adolescents with knowledge and skills that can help them deal with QLC and increase their potential. The purpose of this community service is to introduce QLC to 11th grade students of SMAN 13 Bandar Lampung and equip them with self-healing methods to increase their potential. The methods used in this activity were lectures, discussions, and self-healing practices. The results showed that after participating in this activity, students had a better understanding of QLC and could identify its signs. In addition, students were also able to apply self-healing methods to increase their potential. In conclusion, this community service activity provided significant benefits for 11th grade students at SMAN 13 Bandar Lampung. Students become more prepared to face QLC and have higher self-confidence to develop their potential.