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All Journal Jurnal Matematika IPTEK Journal of Science Jurnal Statistika Universitas Muhammadiyah Semarang Sistemasi: Jurnal Sistem Informasi Jurnal Pengabdian Magister Pendidikan IPA Jurnal Varian Jurnal Serunai Matematika Journal of Language and Literature BERDAYA: Jurnal Pendidikan dan Pengabdian Kepada Masyarakat BERNAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian kepada Masyarakat Agrimansion: Agribusiness Management & Extension Agroteksos Jurnal Pengabdian Mandiri Jurnal Ilmiah Pengabdian dan Inovasi Agrimas : Jurnal Pengabdian Masyarakat Bidang Pertanian
Wirajaya Kusuma
Universitas Bumigora
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Neuroscience Nursing Public Health Social Sciences Veterinary Other

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Model Regresi Zero Inflated Poisson Pada Data Overdispersion Wirajaya Kusuma; Desy Komalasari; Mustika Hadijati
Jurnal Matematika Vol 3 No 2 (2013)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

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Abstract

Overdispersion is a phenomenon of the data variance greater than the average. One of the causes of overdispersion is too many zero value (excess zero) on the response variable. Zero inflated Poisson regression model (ZIP) is one of the method that can be used to overcome problems due to excess zeros. The purpose of this research is to estimate the regression parameters model Zero -inflated Poisson (ZIP) and applying to the data of unsuccessful students in national examinations in senior high school and vocational school in the city of Mataram. Parameter estimation Zero inflated Poisson regression model using the maximum likelihood and maximization expectation algorithm with Newton Rhapson approach.
Model Regresi Zero Inflated Poisson Pada Data Overdispersion Wirajaya Kusuma; Desy Komalasari; Mustika Hadijati
Jurnal Matematika Vol 3 No 2 (2013)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMAT.2013.v03.i02.p37

Abstract

Overdispersion is a phenomenon of the data variance greater than the average. One of the causes of overdispersion is too many zero value (excess zero) on the response variable. Zero inflated Poisson regression model (ZIP) is one of the method that can be used to overcome problems due to excess zeros. The purpose of this research is to estimate the regression parameters model Zero -inflated Poisson (ZIP) and applying to the data of unsuccessful students in national examinations in senior high school and vocational school in the city of Mataram. Parameter estimation Zero inflated Poisson regression model using the maximum likelihood and maximization expectation algorithm with Newton Rhapson approach. Zero inflated Poisson regression model obtained on the data is: dan With  is school accreditation; and  is the proportion of teachers who are already certified
Small Area Estimation Of Expenditure Per-capita in Banyuwangi with Hierarchical Bayesian and Empirical Bayes Methods Wirajaya Kusuma; Nur Iriawan; Irhamah Irhamah
IPTEK Journal of Science Vol 2, No 3 (2017)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (315.543 KB) | DOI: 10.12962/j23378530.v2i3.a3185

Abstract

One of the economic indicators that are widely used to measure the level of prosperity and welfare is per capita income. However, an accurate income data is difficult to be obtained. In Susenas this data is approached by using data on expenditures per capita. This study employ Hierarchical Bayes (HB) and Empirical Bayes (EB) methods to be applied to Small Area Estimation (SAE) to estimate the expenditure per-capita in Banyuwangi. The results showed indirect estimation using hierarchical Bayes and Empirical Bayes produce RMSE values smaller than the direct estimation. The HB method, on the other hand, produces smaller RMSE value than the EB method. Finally, this research suggests to use HB method to estimate the expenditure per-capita in Banyuwangi rather than direct estimation which is used nowadays.
Structural Equation Modeling-Partial Least Square for Poverty Modeling in Papua Province Wirajaya Kusuma; Rifani Nur Sindy Setiawan; Kirti Verma; Carina Firstca Utomo
Jurnal Varian Vol 4 No 2 (2021)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v4i2.852

Abstract

Poverty in Papua Province in 2018 has increased from the previous year. The poverty rate in Papua Province in March 2018 reached 27,74%. This study aims to analyze the factors that influence it so that it can be handled properly. The research method used in this research is Structural Equation Modeling (SEM) with the Partial Least Squares (PLS) approach. The research variables used consisted of 4 latent variables (Poverty, Economy, Human Resources (HR), and Health) with 16 indicators (manifest variables). Based on the analysis that has been done, it is found that economic and health variables have a negative and significant effect on poverty with path coefficients of -0,421 and -0,270, respectively. The health variable has a positive and significant effect on HR with a path coefficient of 0,496. Meanwhile, the HR variable has a positive and significant effect on the economy with a path coefficient of 0,801. It can be concluded that there are two variables that have a significant effect on poverty in Papua Province, including the economy and health.
PENINGKATAN KREATIVITAS MAHASISWA MELALUI PENYUSUNAN INSTRUMEN PENELITIAN Wirajaya Kusuma; Basirun; Siti Soraya
J-ABDI: Jurnal Pengabdian kepada Masyarakat Vol. 1 No. 2: Juli 2021
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/jabdi.v1i2.51

Abstract

Instrumen merupakan alat ukur dari sebuah penelitian yang dilakukan. Keberadaan instrumen adalah hal yang tidak bisa dipisahkan dari sebuah penelitian. Karena apa yang menjadi topik pembicaraan dalam penelitian tentu akan tertuang dalam instrumen. Tujuan pelaksanaan pengabdian ini yaitu agar mahasiswa mampu menggali kemampuan yang dimiliki dalam menyusun berbagai instrumen penelitian sesuai dengan bidang ilmu yang ditekuni. Metode pendekatan yang dilakukan yaitu coaching class. Hasil yang diperoleh melalui pelaksanaan pengabdian ini yaitu pengetahuan tentang pentingnya mengetahui pola penyusunan instrumen penelitian yang pada akhirnya tentu akan meringankan proses penyelesaian berbagai kasus dikehidupan sehari-hari bahkan jurusan masing-masing.
Clustrering of BPJS National Health Insurance Participant Using DBSCAN Algorithm Wiwit Pura Nurmayanti; Dewi Juliah Ratnaningsih; Sausan Nisrina; Abdul Rahim; Muhammad Malthuf; Wirajaya Kusuma
Jurnal Varian Vol 6 No 1 (2022)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v6i1.1886

Abstract

In the current era of Big Data, getting data is no longer a difficult thing because they can access easily it via the internet, which is open access. A large amount of data can cause many problems in the data, such as data that deviates too far from the average (outliers). The method used to handle outlier data is DBSCAN which is density based clustering. The DBSCAN can be applied in various fields, one of which is the social sector, namely the participation of the JKN BPJS Health in West Nusa Tenggara. This study sees the distribution of BPJS Health participation groups, and to detect outliers so that objects with noise are not included in the cluster. The results of the study using the DBSCAN algorithm show that the optimal epsilon value is between 0.37 points by observing the knee of a curve. and MinPts 3, with the highest silhouette value of 0.2763. The highest JKN BPJS participants are in cluster 1 with 5 sub-districts, the second highest cluster is cluster 3 with 5 sub-districts, while the lowest cluster is cluster 2 with 93 sub-districts. The 13 sub-districts are not included in any group because they are noise data.
PEMODELAN KASUS TUBERKULOSIS (TB) DI NUSA TENGGARA BARAT MENGGUNAKAN MODEL REGRESI BINOMIAL NEGATIF Wirajaya Kusuma; Carina Firstca Utomo; Sindy Tervia; Rifani Nur Sindy Setiawan
Jurnal Serunai Matematika Vol 14, No 2 (2022): JURNAL SERUNAI MATEMATIKA (JSM)
Publisher : STKIP Budidaya Binjai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37755/jsm.v14i2.652

Abstract

ABSTRACTTuberculosis is a direct infectious disease caused by bacteria (Mycobacterium tuberculosis). The number of TB cases in NTB in 2020 decreased by 16.58% from 2019. This needs to be analyzed to find out what factors influence tuberculosis so that the number of tuberculosis cases can be minimized. Data on the number of TB cases is count data, so the analysis used to model is Poisson regresi regression. In Poisson regression analysis, the phenomenon of overdispersion often occurs. If there is overdispersion, Poisson regression is not suitable for modeling the data because it will produce biased parameter estimates. One of the methods used to overcome overdispersion in Poisson regression is Negative Binomial regression. The results of the analysis show that there are four variables that are significant to the number of TB cases, namely population density (), number of health centers (), number of nursing staff (), and the percentage of households that have access to proper sanitation () with the model . The results of selecting the best model show that the Negative Binomial Regression model is better than the Poisson regression model based on the criteria for the goodness of the Deviance and AIC models.
SEMINAR KEWIRAUSAHAAN DAN USAHA MIKRO KECIL MENENGAH (UMKM) “PENYULUHAN PENINGKATAN KUALITAS PRODUK UNGGULAN DAN PEMBERDAYAAN EKONOMI MASYARAKAT DUSUN KURIPAN, DESA KURIPAN, KECAMATAN KURIPAN, KABUPATEN LOMBOK BARAT“ Anna Apriana Hidayanti; Baehaki Syakbani; Ulfiyani Asdiansyuri; Zulkarnaen Zulkarnaen; Eka Nurminda Dewi Mandalika; Wirajaya Kusuma; Rifani Nur Sindy Setiawan
JURNAL PENGABDIAN MANDIRI Vol. 1 No. 12: Desember 2022
Publisher : Bajang Institute

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Abstract

Kegiatan pengabdian masyarakat ini dilaksanakan di Lingkungan Kuripan, Kecamatan Ku- ripan Kabupaten Lombok Barat.Tujuan dari kegiatan ini adalah untuk: 1).Meningkatkan Peningkatan Kualitas Produk Unggulan yang potensi untuk dijual sehingga dapat menambah penghasilan keluarga; 2)MeningkatkanPemberdayaan Ekonomi Masyarakat. Metode pelaksanaan yang dilakukan adalah dengan pelatihan dan pendampingan dengan teknik ceramah, diskusi, demonstrasi, praktik langsung. Teknik ceramah digunakan dalam proses penyampaian materi pelatihan. Teknik diskusi digunakan sebagai media komunikasi saat pelatihan berlangsung sehingga terjadi komunikasi dua arah antara pemateri dan audiens/ yang memiliki usaha. Teknik demonstrasi digunakan dalam proses memberikan contoh dalam setiap pelatihan, sehingga memberikan kemudahan dalam memahami materi yang disampaikan. Metode praktik langsung digunakan untuk mengaplikasikan materi yang telah didapatkan, tentunya dengan bimbingan fasilitator/narasumber. Hasil pelaksanaan program adalah 1).Peningkatan pengetahuan kualitas produk unggulan yang ada di desa kuripan 2) Peningkatan Pemberdayaan Ekonomi Masyarakat dari usaha mmikro keci menengah.
MODEL ARIMA BOX-JENKINS UNTUK MERAMALKAN JUMLAH KUNJUNGAN WISATAWAN MANCANEGARA DI KABUPATEN LOMBOK BARAT Rifani Nur Sindy Setiawan; Wirajaya Kusuma; Gilang Primajati; Siti Soraya; Istin Fitriana Aziza
JURNAL AGRIMANSION Vol 24 No 1 (2023): Jurnal Agrimansion April 2023
Publisher : Department of Agricultural Social Economics Faculty of Agriculture University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/agrimansion.v24i1.1325

Abstract

The development of tourism in West Lombok is supported by geographical conditions with scattered clusters of small islands (gili), tropical climate, and the cultural peculiarities of the Sasak tribe, so that it becomes an attraction in the development of global tourist destinations. West Lombok tourism development will be even more attractive with the establishment of the Mandalika National Tourism Development Strategic Area. West Lombok can play a role concurrently with this strategic policy momentum. Developing new growth centers based on the tourism sector in collaboration with other sectors and packaging the village's potential to become a thematic tourism village. Methods for predicting the number of tourist visits to West Lombok Regency are urgently needed to assist the district government in preparing appropriate facilities and infrastructure if there is a possibility of an increase in tourist visits. The method used in this study is the Box-Jenkins ARIMA method to predict the number of foreign tourist visits in West Lombok Regency. The data used in this study is secondary data sourced from the West Lombok Regency Tourism Office from January 2014 to December 2021. The results showed that the ARIMA model (2,1,2) is the most suitable model for predicting the number of foreign tourist visits to West Lombok Regency because this model produces the smallest Sum of Squared Errors (SSE) and Mean Squared Error (MSE) values compared to other models.
Pelatihan Pembuatan Lembar Survei Menggunakan Google Form Baiq Rika Ayu Febrilia; Anna Apriana Hidayanti; Eka Nurminda Dewi Mandalika; Rifani Nur Sindy Setiawan; Wirajaya Kusuma
BERDAYA: Jurnal Pendidikan dan Pengabdian Kepada Masyarakat Vol 5 No 1 (2023)
Publisher : LPMP Imperium

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36407/berdaya.v5i1.818

Abstract

Era digital teknologi saat ini mengkehendaki setiap lini kehidupan dapat diakses dengan mudah, cepat, efektif dan efisien. Terdapat berbagai macam aplikasi teknologi yang telah dikembangkan untuk mempermudah tugas manusia, termasuk pengembangan Google Form.Google Form adalah salah satu fasilitas yang disediakan Google untuk membuat kuesioner atau formulir tertentu yang digunakan sebagai alat survey atau sekedar untuk mengumpulkan data mengenai fenomena tertentu dari responden. Aplikasi ini sangat dekat penggunaannya di kalangan akademisi dan profesi lainnya, terlebih mahasiswa yang sedang mengumpulkan data tertentu untuk penelitiannya. Meskipun sudah cukup populer, masih banyak mahasiswa yang tidak begitu mengenal dan belum pernah berinteraksi, sehingga kebanyakan mahasiswa tetap memilih langkah manual dengan menyediakan lembar survey cetak untuk disebarkan kepada responden. Oleh karena pengetahuan dan keterampilan ini cukup penting bagi mahasiswa, maka dibutuhkan suatu wadah berupa kegiatan pelatihan untuk membimbing mahasiswa dalam membuat lembar survey online dengan menggunakan Google Form. Kegiatan pelatihan dilakukan selama dua hari dengan melibatkan sekitar 9 orang mahasiswa. Luaran dari kegiatan ini adalah terbentuknya lebih dari 3 lembar survey online oleh mahasiswa berikut juga data yang dikumpulkan setelah survey tersebut disebarkan.
Co-Authors Abdul Rahim Aeko Fria Utama FR Agus Sofian Eka Hidayat Anna Apriana Hidayanti Anna Apriana Hidayanti Anwar Baehaki Syakbani Baiq Rika Ayu Febrilia Carina Firstca Utomo Carina Firstca Utomo Daniel Happy Putra Desy Komalasari Dewi Juliah Ratnaningsih Eka Nurminda Dewi Mandalika Eka Nurminda Dewi Mandalika Eka Nurminda Dewi Mandalika Eka Nurminda Dewi Mandalika Fadli Febrilia, Baiq Rika Ayu Firmansyah, Dodiy Gilang Primajati Gilang Primajati Hammad, Rifqi Husain Husain Irhamah - Istin Fitriana Aziza Kirti Verma M. Yusuf Mandalika, Eka Nurminda Dewi Mardedi, Lalu Zazuli Azhar Miswaty, Titik Ceriyani Muhammad Malthuf Mustika Hadijati Ni Made Nike Zeamita Widiyanti Ni Made Nike Zeamita Widiyanti Nur Iriawan Nursan, Muhammad Rifani Nur Sindy Setiawan Sausan Nisrina Setiawan, Rifani Sindy Tervia Sirojul Hadi Siti Soraya Siti Soraya Sri Mulyawati Sutarman Sutarman Sutarman Sutarman Ulfiyani Asdiansyuri Wahyu Kamil Syarifaturrahman Wahyu Kamil Syarifaturrahman, Wahyu Kamil Wiwit Pura Nurmayanti Zainudin Abdussamad Zulfikri, Muhammad Zulkarnaen Zulkarnaen