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All Journal Range : Jurnal Pendidikan Matematika Enthusiastic : International Journal of Applied Statistics and Data Science Jurnal Pengabdian Kepada Masyarakat (JPKM) Transformasi: Journal of Economics and Business Management Jurnal Kajian dan Penelitian Umum
Elisabeth Brielin Sinu
Program Studi Matematika, Fakultas Sains Dan Teknik, Universitas Nusa Cendana
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Optimasi Penjadwalan Shift Perawat Ruang Sal Anak dengan Metode Goal Programming di RSD Kalabahi Damaris Lalang; Elisabeth Brielin Sinu; Jumriati Kasim
Transformasi: Journal of Economics and Business Management Vol. 1 No. 4 (2022): December: Journal of Economics and Business Management
Publisher : Universitas 17 Agustus 1945 Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (951.473 KB) | DOI: 10.56444/transformasi.v1i4.290

Abstract

Penelitian ini bertujuan untuk memodelkan metode goal programming pada penjadwalan shift perawat ruang perawatan anak dan untuk mengetahui implementasi metode goal programming dalam menyelesaikan penjadwalan shift perawat ruang perawatan anak di RSD Kalabahi. Penelitian ini dilakukan di Rumah Sakit Daerah Kalabahi dan waktu penelitiannya dimulai dari bulan Februari sampai bulan Juli 2022. Teknik pengumpulan data dilakukan melalui wawancara langsung Kepala Ruangan Perawatan Anak dan melalui teknik observasi yakni melalui pengamatan secara langsung pada kegiatan yang berhubungan dengan tugas-tugas perawat. Teknik analisis data yang digunakan adalah dengan metode Goal Programming dalam rangka menghasilkan penjadwalan yang optimal. Analisis data dilakukan dengan bantuan software Lingo 11.0. Hasil penelitian menunjukkan bahwa penjadwalan menggunakan metode goal programming memberikan hasil yang lebih optimal dan dapat memenuhi semua aturan kendala yang ada daripada penjadwalan yang dibuat secara manual oleh kepala ruangan di Rumah Sakit.
PELATIHAN STATISTIKA TERAPAN UNTUK PENELITIAN DI BIDANG PENDIDIKAN DENGAN BANTUAN SPSS BAGI GURU-GURU DI SMPN 4 ROTE BARAT DAYA Elisabeth Brielin Sinu; Rapmaida M. Pangaribuan; Maria Lobo; M. Maths
Jurnal Pengabdian Kepada Masyarakat Vol 3 No 2 (2023): Desember 2023
Publisher : Universitas Nusa Cendana

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Abstract

Karya ilmiah merupakan bagian yang tidak terpisahkan dari tugas guru. Di sisi lain, pembuatan karya ilmiah masih menjadi tantangan tersendiri bagi guru, apalagi masih kurangnya literasi digital karena infrastruktur IT yang terbatas. Hal serupa juga dialami oleh guru-guru di SMPN 4 Rote Barat Daya. Salah satu aspek penting dalam melakukan penelitian ada pada metode penelitian yang mana mengandalkan teknik statistik. Teknik ini merupakan alat bantu yang sangat krusial dalam mengolah data agar dapat memberikan hasil penelitian yang berkualitas. Atas dasar itulah, pelatihan program statistik seperti SPSS sangat diperlukan agar dapat memberi kemudahan bagi guru dalam melakukan analisis data. Kegiatan pelatihan ini dilaksanakan di laboratorium TIK SMPN 4 Rote Barat Daya dengan pesertanya berjumlah 20 orang guru dari sekolah tersebut. Selama pelatihan peserta terlibat aktif dalam memberikan tanggapan sambil mengikuti arahan pemateri. Berdasarkan kuesioner yang dibagikan sebelum dan sesudah pelatihan, peserta menganggap bahwa pelatihan ini sangat relevan dan bermanfaat bagi profesi sebagai guru karena tidak hanya mampu membantu dalam penelitian dalam rangka penyusunan karya ilmiah namun juga banyak fitur dalam program ini yang dapat membantu dalam perhitungan yang sifatnya sederhana.
Analisis Angka Kematian Bayi Di Provinsi Nusa Tenggara Timur Dengan Model Regresi Spasial Elisabeth Brielin Sinu; Ambrosius Dedi A. Sinu
Jurnal Kajian dan Penelitian Umum Vol. 1 No. 6 (2023): Desember: Jurnal Kajian dan Penelitian Umum
Publisher : Institut Nalanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47861/jkpu-nalanda.v1i6.687

Abstract

This research aims to examine the significant factors influencing Infant Mortality Rate (IMR) in the East Nusa Tenggara Province. Estimation is carried out using a spatial regression model approach. The variables under investigation are the Infant Mortality Rate (Y), the percentage of Low Birth Weight (X1), the percentage of infants receiving breastfeeding (X2), and the percentage of deliveries assisted by medical personnel (X3). The research data consist of secondary data from the year 2022 in 22 regencies/cities obtained from the Central Statistics Agency (BPS) of the East Nusa Tenggara Province. Modeling with Ordinary Least Squares (OLS) regression produces one significant independent variable at α=5%, namely the percentage of deliveries assisted by medical personnel. Based on diagnostic tests, spatial dependence occurs at lag, indicating that the appropriate spatial regression model is the Spatial Autoregressive Model (SAR). However, a Spatial Error Model (SEM) is still used as a comparison. From these two spatial models, it is found that the significant independent variable affecting the IMR in the 22 regencies/cities in East Nusa Tenggara is the percentage of deliveries assisted by medical personnel. The weight used is queen contiguity. Based on R2 and AIC criteria, the best spatial regression model is the Spatial Autoregressive Model (SAR) because it has the highest R2 of 0.778282 and the smallest AIC of 132.518. For further research, it is recommended to consider local factors that may influence IMR, such as access to clean water, sanitation, educational level, electrification ratio, which may vary in each region.
Factor Influencing Delayed Completion in Mathematics Students at Nusa Cendana University: A Factor Analysis Approach Sinu, Elisabeth Brielin; Atti, Astri
Enthusiastic : International Journal of Applied Statistics and Data Science Volume 4 Issue 2, October 2024
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/enthusiastic.vol4.iss2.art3

Abstract

This study aimed to identify and analyze factors contributing to the delay in the study period of students enrolled in the Mathematics Program at the Faculty of Science and Engineering (FST), Nusa Cendana University (UNDANA). The research employed a comprehensive analytical approach, starting with validity and reliability tests, followed by descriptive analysis, and culminating in factor analysis. Initially, 27 variables were considered; however, after conducting validity and reliability assessments, 18 variables were deemed suitable for further analysis. These 18 variables were subjected to factor analysis, revealing that they could be consolidated into four distinct factors, collectively accounting for 68.734% of the total variability observed among the students. The four identified factors influencing study delays are (1) student and supervisor commitment to completing the final project, (2) campus and peer support, (3) intelligence and discipline, and (4) motivation and relationships. Among these, the commitment of students and their supervisors to the timely completion of the final project emerged as the most dominant factor, demonstrating 43.417% of the total variance. The findings highlight the crucial role of both individual dedication and external support systems in ensuring timely academic progress, offering valuable insights for improving student outcomes in the Mathematics Program at UNDANA.
Analysis of Economic Growth in East Nusa Tenggara Province Using Spatial Regression Model Elisabeth Brielin Sinu; Astri Atti; Arista Marlince Tamonob; Damaris Lalang
RANGE: Jurnal Pendidikan Matematika Vol. 6 No. 1 (2024): Range Juli 2024
Publisher : Pendidikan Matematika UNIMOR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jpm.v6i1.5674

Abstract

This research aims to examine the significant factors influencing economic growth in the East Nusa Tenggara Province. The estimation is carried out through a spatial regression model approach. The research variables were selected based on the economic growth model proposed by Mankiw-Romer-Weil, namely Gross Regional Domestic Product at constant prices (Y), Labor ( X1), Electricity Consumption (X2 ), Regional Original Income (X3 ), Capital Expenditure ( X4), and Schooling Duration (X5 ). The research data consists of secondary data from the year 2022 in 22 regencies/cities obtained from the Central Statistics Agency (BPS) of East Nusa Tenggara Province. Modeling with the Ordinary Least Squares (OLS) regression method resulted in three significant independent variables at α=5%: local revenue, capital expenditure, and average years of schooling. Based on diagnostic tests, there was spatial dependence in lag and error, leading to the use of Spatial Autoregressive Model (SAR) and Spatial Error Model (SEM) for spatial regression. From these spatial models, the significant independent variables influencing economic growth in the 22 regencies/cities in East Nusa Tenggara were local revenue, capital expenditure, and average years of schooling. The queen contiguity weighting was used. Based on R2 and AIC criteria, the best spatial regression model was the Spatial Error Model (SEM) with the highest R2 of 0.837610 and the smallest AIC value of 393.03. For further research, it is recommended to consider local factors that may influence economic growth, such as the sustainability of the agricultural or tourism sector, which may vary in each region.
Co-Authors Ambrosius Dedi A. Sinu Arista Marlince Tamonob Damaris Lalang Jumriati Kasim M. Maths MARIA LOBO Rapmaida M. Pangaribuan