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All Journal Statistika Variance : Journal of Statistics and Its Applications Jurnal Pengabdian Masyarakat Waradin
M. W. Talakua
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Mathematics Social Sciences Other

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Aplikasi Analisis Korespondensi Berganda Terhadap Pemetaan Perkembangan Pembangunan Kota Ambon Yopi Andry Lesnussa; H. Kelian; E. R. Persulessy; R. J. Djami; M. W. Talakua
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 17, No 2 (2017)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v17i2.3100

Abstract

Penelitian ini bertujuan untuk mengetahui peta persepsi indikator pembangunan di kota Ambon dengan menggunakan Analisis Korespondensi Berganda. Dimana metode ini menganalisis kategori dari beberapa indikator pembangunan antara lain, banyaknya fasilitas Pendidikan, banyaknya fasilitas Kesehatan, penduduk miskin dan banyaknya Objek Wisata yang ada di kota Ambon. Dari hasil penelitian diperoleh kesimpulan bahwa kecamatan yang melalui jalan pusat kota Ambon menunjukan adanya peningkatan sarana pendidikan, sarana Kesehatan dan juga penduduk miskin, sedangkan untuk indikator Objek Wisata sendiri terjadi peningkatan pada kecamatan yang tidak dilalui Jalan Pusat Kota
PEMODELAN REGRESI NONPARAMETRIK SPLINE TRUNCATED PADA FAKTOR-FAKTOR YANG MEMPENGARUHI PERTUMBUHAN EKONOMI DI PROVINSI MALUKU Muhammad Yahya Matdoan; A. M. Balami; M. W. Talakua
VARIANCE: Journal of Statistics and Its Applications Vol 1 No 1 (2019): VARIANCE: Journal of Statistics and Its Applications
Publisher : Statistics Study Programme, Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/variancevol1iss1page27-37

Abstract

Economic growth is a benchmark for the success of a region's development, especially in the economic field. The purpose of economic development in an area is basically to improve the welfare and prosperity of the community. Economic growth in Maluku Province experienced a positive increase. However, there is still a disparity between districts/cities in Maluku Province, which has an impact on increasing unemployment and an increasingly poor population. This is inseparable from the influencing factors so that it can be precisely done by modeling these factors using the truncated nonparametric spline regression method. the advantages of this method occur because in nonparametric spline truncated regression has knot points, which are joint fusion points that indicate changes in data behavior patterns. Besides, this method can be used to model data patterns that change at certain sub-intervals. The best model is very dependent on determining the optimal knot point by using the minimum Generalized Cross-Validation (GCV) value. The results obtained in this study were the highest percentage of economic growth in Maluku Province, Ambon City with a percentage of 6.17%, and the lowest economic growth was in the East Seram District (SBT) with a percentage of 5.03%. Furthermore, the best model is obtained with a model with three knots and a GCV value of 11.61, a value of 2 of 0.94 and an MSE value of 0.005. This means that statistically, the variables used in this study affect economic growth by 94%. While the rest is influenced by other variables outside the research.
PENERAPAN METODE DAN APLIKASI STATISTIK (SPSS dan Excel) UNTUK MENINGKATKAN MOTIVASI GURU DALAM PENELITIAN DAN PUBLIKASI ILMIAH M. Y. Matdoan; M. W. Talakua; N. Lewaherilla; S. J. Latupeirissa; J. E. T. Radjabaycolle
Jurnal Pengabdian Masyarakat Waradin Vol. 1 No. 2 (2021): Mei : Jurnal Pengabdian Masyarakat Waradin
Publisher : Sekolah Tinggi Ilmu Ekonomi Pariwisata Indonesia Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (725.602 KB) | DOI: 10.56910/wrd.v1i2.184

Abstract

The development of computers in the current era can help teachers improve human resources (HR), especially in the field of education. SPSS and Excel are statistical applications that can process teacher research data such as education management data and classroom action research data and so on. This community service (PKM) is carried out in the form of statistical application training (SPSS and Excel) as well as writing techniques and publication of scientific articles. Participants in this activity consisted of 21 teachers and employees of the Muhammadiyah Mamala High School in Central Maluku. The conclusion obtained in this activity is that activities that have been carried out in the form of training are considered very good (99%). All material that has been planned can be delivered, although due to time constraints there are some materials that are only presented in an outline. The participants' ability in mastering the material was considered very 1Jurusan Matematika FMIPA Universitas Pattimura, Ambon-Maluku good (98%). This is based on the teacher's ability in training and trials in the form of classroom action research data processing using Excel and SPSS applications. In addition, from the results of the training given to the participants, it was found that all the training participants perfectly mastered the tasks given in the training.
Co-Authors A. M. Balami E. R. Persulessy H. Kelian J. E. T. Radjabaycolle M. Y. Matdoan Muhammad Yahya Matdoan N. Lewaherilla R. J. Djami S. J. Latupeirissa Yopi Andry Lesnussa