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All Journal Jurnal Matematika Statistika CAUCHY: Jurnal Matematika Murni dan Aplikasi Gamatika JAIS (Journal of Applied Intelligent System) International Journal of Artificial Intelligence Research APOTEMA : Jurnal Program Studi Pendidikan Matematika Jurnal Matematika: MANTIK Indonesian Journal of Applied Statistics BAREKENG: Jurnal Ilmu Matematika dan Terapan Limits: Journal of Mathematics and Its Applications International Journal of Computing Science and Applied Mathematics Sainmatika: Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam Variance : Journal of Statistics and Its Applications Jurnal Statistika dan Aplikasinya MOVE: Journal of Community Service and Engagement Jurnal Eurekamatika Pakem : Jurnal Pengabdian Kepada Masyarakat Pattimura International Journal of Mathematics (PIJMath) JUSTE (Journal of Science and Technology) Jurnal Matematika Integratif

Yopi Andry Lesnussa

Jurusan Matematika Universitas Pattimura

Author-ID : 306045

Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Structural Equation Modeling (SEM) untuk Mengukur Pengaruh Pelayanan, Harga, dan Keselamatan terhadap Tingkat Kepuasan Pengguna Jasa Angkutan Umum Selama Pandemi Covid-19 di Kota Ambon Zakheus Putlely; Yopi Andry Lesnussa; Abraham Z Wattimena; Muhammad Yahya Matdoan
Indonesian Journal of Applied Statistics Vol 4, No 1 (2021)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v4i1.45784

Structural Equation Modeling (SEM) is a statistical analysis technique used to build and test statistical models in the form of causal models. Large-Scale Social Restrictions (PSBB) are government policies to break the chain of spreading the corona virus (Covid-19). This policy certainly has an impact on drivers of public transport services. This research shows that the passengers are very satisfied with the travel safety factor. Meanwhile, service factors and passenger public transport fares are in the satisfied category. Furthermore, the variable service quality (MP), the price of public transportation (H), and passenger safety (KP) have an influence on passenger satisfaction. Because the t-value is greater than 1.96 (for the real level of 5%). The influence of service quality, price and safety variables on passenger satisfaction is 78.1%, the remaining 21.9% is influenced by other variables outside the research.Keywords: covid-19, structural equation modeling, satisfaction.

Analisis Klaster untuk Pengelompokkan Kabupaten/Kota di Provinsi Maluku Berdasarkan Indikator Pendidikan dengan Menggunakan Metode Ward Dewi Ls; Yopi Andry Lesnussa; Mozart W. Talakua; Muhammad Y. Matdoan
Jurnal Statistika dan Aplikasinya Vol 5 No 1 (2021): Jurnal Statistika dan Aplikasinya
Publisher : Program Studi Statistika FMIPA UNJ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.05105

Analisis klaster merupakan salah satu metode analisis yang bertujuan untuk mengklasterkan objek-objek berdasarkan kemiripan karakteristik yang dimilikinya. Metode yang digunakan pada analisis klaster yaitu metode hierarki. Secara umum metode hierarki dibagi menjadi 5 yaitu : single linkage, complete linkage, average linkage, Ward dan centroid dengan ukuran jarak euclidean. Tujuan dari penelitian ini untuk mengetahui hasil pengklasteran kabupaten/kota di Provinsi Maluku berdasarkan Indikator Pendidikan dengan menggunakan metode Ward. Hasil penelitian pengklasteran kabupaten/kota sebanyak 3 klaster, klaster pertama terdiri dari 2 kabupaten/kota yaitu Maluku Tengah dan Kota Ambon dengan tingkat pendidikan yang tinggi. Klaster kedua terdiri dari 4 kabupaten yaitu Kabupaten Seram Bagian Barat, Kabupaten Buru, Kabupaten Seram Bagian Timur dan Kabupaten Kepulauan Tanimbar dengan tingkat pendidikan rendah. Klaster ketiga terdiri dari 4 kabupaten/kota yaitu Kabupaten Maluku Tenggara, Kabupaten Maluku Barat Daya, Kabupaten Kepulauan Aru, Kabupaten Buru Selatan dan Kota Tual dengan tingkat pendidikan sedang.

Basic Website Creation Training for Muhammadiyah Mamala High School Students in Central Maluku Regency Citra Fathia Palembang; Mozart Winston Talakua; Zeth Arthur Leleury; Yopi Andry Lesnussa; Francis Yunito Rumlawang; Jefri Esna Thomas Radjabaycolle; Abraham Zakharia Wattimena; Henry Willyam M. Patty
MOVE: Journal of Community Service and Engagement Vol. 1 No. 3 (2022): January 2022
Publisher : EQUATOR SINAR AKADEMIA

The team's implementation of community service activities provides materials and training to Muhammadiyah Mamala High School students on how to easily build a website from the ground up using a content management system (CMS) until the website is successfully uploaded to the Internet (hosting), both for free and for a fee. The goal of this community service activity is for students to gain information technology knowledge that is not limited to being able to access information, but also to being able to create a container/information medium in the form of a website and, hopefully, to help the school in developing the school website in the future

Analisis Faktor-Faktor yang Mempengaruhi Jumlah Kematian Ibu di Provinsi Maluku dengan Menggunakan Regresi Poisson Salmon N. Aulele; Astrid G. Heumasse; Yopi Andry Lesnussa
Jurnal EurekaMatika Vol 9, No 2 (2021): Jurnal EurekaMatika
Publisher : Universitas Pendidikan Indonesia (UPI)

The statistical method used to model the relationship between the response variable (Y) and one or more independent variables (X) is regression analysis. Linear regression equations are used to analyze the response variables in the form of continuous random variables and follow a normal distribution, however, many response variables are found that are not normally distributed and are not linear in parameters becausethe mortality rate for mothers and babies always increases from year to year. The number of maternal deaths that occurred in Maluku province is an example of data count. Poisson regression is a nonlinear regression analysis of the Poisson distribution which is generally used in analyzing discrete (count) data. The purpose of this study was to determine the factors that significantly affect maternal mortality in Maluku Province using Poisson Regression, The results of this study indicate that the factors that significantly influence the number of maternal deaths in Maluku Province are the number of health centers and medical personnel in each regency / district. City (X1), the percentage of female population with education that has completed at least SD per Regency / City (X2), the frequency coverage of K4 services for pregnant women in each Regency / City (X3), and the percentage of immunization coverage for pregnant women in each Regency / City (X4).Keywords: Maternal Mortality, Poisson Regression, Regression Analysis. AbstrakMetode statistika yang digunakan untuk memodelkan hubungan antara variabel respons (Y) dengan satu atau lebih variabel bebas (X) adalah analisis regresi. Persamaan regresi linear digunakan untuk menganalisis variabel respons yang berupa peubah acak kontinu dan mengikuti distribusi normal, namun banyak ditemukan variabel respons yang tidak berdistribusi normal dan tidak linear dalam parameter. Jumlah kematian ibu yang terjadi di provinsi Maluku merupakan salah satu contoh data count. Regresi Poisson merupakan analisis regresi nonlinear dari distribusi Poisson yang umumnya digunakan dalam menganalisis data diskrit (count). Tujuan dari penilitian ini adalah untuk mengetahui faktor-faktor yang signifikan mempengaruhi jumlah kematian ibu di Provinsi Maluku dengan menggunakan Regresi Poisson. Hasil penelitian ini menunjukan bahwa Faktor-faktor yang signifikan mempengaruhi jumlah kematian ibu di Provinsi Maluku adalah jumlah puskesmas dan tenaga medis tiap Kabupaten/Kota (X1), persentase penduduk perempuan dengan pendidikan yang ditamatkan minimal SD tiap Kabupaten/Kota (X2), cakupan frekuensi pelayanan K4 bagi ibu hamil tiap Kabupaten/Kota (X3), dan persentase cakupan imunisasi bagi ibu hamil tiap Kabupaten/Kota (X4).

DETEKSI PENYALAHGUNAAN NARKOBA DENGAN METODE TWIN BOUNDED SVM Berny Pebo Tomasouw; Yopi Andry Lesnussa
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 4 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Twin Bounded SVM (TB-SVM) is an improvement of the Twin SVM method and has advantages in classification problems compared to standard SVM. In this research, linear TB-SVM and nonlinear TB-SVM methods will be applied to detect drug use based on 23 symptoms experienced. The training and testing data is divided into three partition data schemes (60/40 scheme, 70/30 scheme and 80/20 scheme) in order to determine the best level of accuracy that can be obtained. The test results show that the nonlinear TB-SVM with the RBF kernel has a better accuracy rate than the linear TB-SVM, that is 80% at 60/40 scheme, 90% at 70/30 scheme, and 95% at 80/20 scheme.

Analysis of the Increase in Covid-19 Patients in Maluku Province Using Markov Chain Method Umi Sari Rumata; Yopi Andry Lesnussa; Marlon Stivo Noya van Delzen
Pattimura International Journal of Mathematics (PIJMath) Vol 1 No 1 (2022): Pattimura International Journal of Mathematics (PIJMath)
Publisher : Pattimura University

Since the beginning of 2020, most of the world has been hit by the covid-19 pandemic, patients who are confirmed to be covid-19 are increasing day by day until the end of 2020, this increase in covid-19 patients has also occurred in the province of Maluku. In this study using the Markov chain method to analyze the increase in COVID-19 patients in the Maluku province, the results of the study were obtained that there were 5 ranges of adding positive COVID-19 patients with the opportunity value of increasing in each range as follows In the range of 0-20 people, the opportunity value is 0.103, the range of 21-40 people, is the opportunity value 0.098, the range 41-60 people is the opportunity value is 0.093, the range 61-80 people is the opportunity value is 0.1, the range of more than 81 people the opportunity value is 0.74.

Analisis Regresi Linier Berganda untuk Melihat Pengaruh Budaya Organisasi, Kepemimpinan, Transformasional, dan Motivasi Kerja (Studi Kasus : PT. Telkom Ambon) H. Lellolsima; M. S. Noya Van Delsen; Yopi Andry Lesnussa
JUSTE (Journal of Science and Technology) Vol. 2 No. 1 (2021): JUSTE
Publisher : LLDIKTI WIlayah XII Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51135/justevol2issue1page90-96

Human resources are one of the important things in running a company. In this era of increasing competition, both the trade and.service industries. So.the company needs to improve its performance. To improve the performance of the company, it is necessary to have good employee performance. Employee performance can increase if the factors within the company can.affect the performance of the employees themselves. Factors that can affect employee.performance are organizational culture, transformasional leadership, and work.motivation. This research was conducted at.PT. Telkom Ambon using multiple linear regression analysis method. It was found that the employees of PT. Telkom Ambon has an organizational culture, transformational leadership and work motivation that have a positive and significant.effect. The test of multiple linier regression.analysis found that organizational variables, transformational leadership and work motivation can affect employee performance.with a Coefficient of Determination (R2) of 0.832 or 83,2%.

Prediction of Life Expectancy in Maluku Province Using Backpropagation Artificial Neural Networks Yopi Andry Lesnussa; Francis Yunito Rumlawang; Endro Risamasu; Charlita Fhilya
Jurnal Matematika Integratif Vol 16, No 2: Oktober 2020
Publisher : Department of Matematics, Universitas Padjadjaran

Life Expectancy at Birth (LE) is defined as the average estimated number of years a person can live to since their birth. The purpose of LE is to represent the health rate of a community. Backpropagation is an algorithm in artificial neural networks (ANN) used to predict or forecast data. This study aims to predict Life Expectancy in Moluccas. Based on the results of the analysis obtained an average forecasting success of 99.65% with the smallest error MAPE = 0,0035. Forecasting for the next 5 years shows that the Life Expectancy value tends to increase over the next 5 years from 2019-2023 at 65.7828 (2019) increasing to 66.6632 (2023).

Sistem Diagnosa Penyakit Dalam dengan Menggunakan Jaringan Saraf Tiruan Metode Backpropagation dan Learning Vector Quantization Zeth Arthur Leleury; Yopi Andry Lesnussa; Julianty Madiuw
Jurnal Matematika Integratif Vol 12, No 2: Oktober, 2016
Publisher : Department of Matematics, Universitas Padjadjaran

Jaringan saraf tiruan telah banyak digunakan untuk membantu menyelesaikan berbagaimacam permasalahan dalam rangka pengambilan keputusan berdasarkan pelatihan yangdiberikan. Jaringan saraf tiruan dapat diaplikasikan pada berbagai bidang dalam kehidupanmanusia, salah satunya bidang kesehatan. Dalam penelitian ini, jaringan saraf tiruandigunakan untuk mendiagnosa Penyakit Dalam dengan menggunakan metode Backpropagationdan Learning Vector Quantization yang selanjutnya akan dibandingkan hasil diagnosa darikedua metode tersebut. Data penelitian sebanyak 266 data, dengan 190 data sebagai datapelatihan dan 76 data sebagai data pengujian yang diambil dari data pasien RSUD Dr. M.Haulussy, Ambon. Dengan menggunakan metode Backpropagation tingkat keakuratandiagnosanya sebesar 61.84% sedangkan dengan menggunakan metode LVQ tingkat keakuratandiagnosanya sebesar 93.42%. Dari hasil penelitian ini metode LVQ dianggap lebih baik dalammendiagnosa Penyakit Dalam.

APLIKASI PERSAMAAN DIFERENSIAL PADA PENYEBARAN PENYAKIT BERBASIS SOFTWARE MAPLE UNTUK SISWA SMA NEGERI 3 AMBON Lazarus Kalvein Beay; Abraham Zacaria Wattimena; Yopi Andry Lesnussa; Dorteus Lodewyik Rahakbauw
PAKEM : Jurnal Pengabdian Kepada Masyarakat Vol 4 No 1 (2024): Pakem : Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/pakem.4.1.52-58

Persamaan diferensial telah menjadi salah satu topik matematika yang menarik pada kemajuan ilmu pengetahuan dan teknologi. Salah satu bentuk aplikasinya, yaitu pada penyebaran penyakit menular. Pada kenyataannya, pembelajaran matematika di sekolah masih bersifat teoritis, sehingga pembelaran bermakna sulit tercapai. Materi matematika yang diberikan oleh guru sulit untuk dipahami oleh siswa karena bersifat abstrak. Hal ini mendorong pembelajaran untuk mengaplikasikan materi tentang persamaan diferensial pada kehidupan nyata di sekitar siswa. Selain itu, pesatnya kemajuan ilmu pengetahuan dan teknologi menuntut adanya kemampuan adaptasi dari siswa, guru, dan sekolah. Melalui kegiatan pengabdian ini, upaya adaptasi terhadap perkembangan ilmu pengetahuan dan teknologi dilakukan melalui peningkatkan kualitas pembelajaran pada SMA Negeri 3 Ambon. Kegiatan yang dilakukan meliputi upaya meningkatkan kemampuan siswa tentang penerapan materi persamaan differensial pada kehidupan nyata. Pada akhirnya, Software Maple digunakan untuk mendukung proses pembelajaran matematika.

Co-Authors Abdul Malik Balami Abraham Z Wattimena Abraham Z. Wattimena Abraham Zacaria Wattimena Abraham Zakaria Wattimena Abraham Zakharia Wattimena Astrid A Titahena Astrid G. Heumasse Aulele, Salmon Notje Berny Pebo Tomasouw C. G. Mustamu Charlita Fhilya Chrisani Waas Citra Fathia Palembang D Patty D. L. Rahakbauw Dewi Ls E R Persulessy E. R. Persulessy Elvinus P. Persulessy Endro Risamasu F. Kondo Lembang Fauzan Samallo Filiany S. Tutupary H. Kelian H. Lellolsima Henry W. M. Patty Hukubun, V Idah, Mus Rika Ilwaru, Venn Yan Ishak Jefri Esna Thomas Radjabaycolle Johan Bruiyf Bension Julianty Madiuw Latumeten, Ralf Lazarus Kalvein Beay Lexy Jansen Sinay M. S. Noya Van Delsen M. W. Talakua M. W. Talakua Madiuw, Julianty Marlon Stivo Noya van Delzen Mozart W. Talakua Muhammad Y. Matdoan Muhammad Yahya Matdoan Muhammad Yahya Matdoan Munahaji Lukaraja Mus Rika Idah Nanang Ondi Ondi, Nanang R. J. Djami RAHAKBAUW, DORTEUS LODEWYIK Rumlawang, F Y Rumlawang, Francis Y RUMLAWANG, FRANCIS YUNITO Set Sasake Sinay, Lexy Jansen Stevanny Tamaela Subchan Subchan Talakua, Mozart Winston Tamaela, Stevanny Umi Sari Rumata Venn Y.I. Ilwaru Yulia S. Kakisina Zakheus Putlely Zeth Arthur Leleury, Zeth Arthur

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