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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Variance : Journal of Statistics and Its Applications Majalah Ilmiah Matematika dan Statistika (MIMS) MOVE: Journal of Community Service and Engagement Indonesian Journal of Statistics and Its Applications Indonesian Journal of Computational and Applied Mathematics

Talakua, Mozart Winston

Jurusan Matematika FMIPA, Universitas Pattimura, Indonesia

Author-ID : 811878

Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Energy Engineering Mathematics Mechanical Engineering Physics Transportation Other

Published : 9 Documents Claim Missing Document

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MISKLASIFIKASI PENJURUSAN MAHASISWA FMIPA UNIVERSITAS PATTIMURA TAHUN AKADEMIK 2016/2017 MENGGUNAKAN METODE ANALISIS DISKRIMINAN BERGANDA Ferry Kondo Lembang; Mozart Winston Talakua; Mega Selvi Hasanudin
VARIANCE: Journal of Statistics and Its Applications Vol 1 No 2 (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/variancevol1iss2page64-74

Selama ini penjurusan mahasiswa hanya berdasarkan minat mahasiswa pada saat masuk PerguruanTinggi, belum mempertimbangkan prestasi akademik mahasiswa, misalnya nilai mata pelajaran (SMA). Dengan demikian, belum diketahui apakah mahasiswa tersebut benar-benar sesuai untuk masuk jurusan tersebut atau lebih sesuai jika masuk jurusan lainnya. Dalam statistika, masalah seperti ini dapat dipecahkan melalui analisis diskriminan yaitu dengan cara menentukan aturan atau kriteria pengelompokkan berdasarkan karakteristik tertentu. Dengan demikian kelompok asal dari individu yang bersangkutan dapat ditentukan. Analisis diskriminan merupakan suatu analisis dengan tujuan membentuk sejumlah fungsi melalui kombinasi linear peubah-peubah asal, yang dapat digunakan sebagai cara terbaik untuk memisahkan kelompok-kelompok individu. Fungsi yang terbentuk melalui analisis ini selanjutnya disebut sebagai fungsi diskriminan. Dalam penelitian ini ingin diketahui apakah terjadi misklasifikasi dalam penjurusan Mahasiswa FMIPA UNPATTI Tahun Akademik 2016/2017 berdasarkan nilai mata pelajaran MIPA (Nilai UAN dan Raport) dengan menggunakan Analisis Diskriminan. Fungsi diskriminan yang terbentuk, terkait dengan pengelompokkan mahasiswa pada jurusannya, yakni: y1 = -11,727 + 0,138x2 + 0,044x5 + (-0,039)x7 ; y2 = -7,913 + 0,065x2 + (-0,026)x5 + 0,070x7 ; y3 = 7,802 + (-0,125) + 0,052x5 + (-0,010)x7. Pengujian validasi pada penelitian diperoleh angka ketepatan fungsi diskriminan sebesar 53% dari data telah terklasifikasi dengan benar. Hal ini berarti 53% dari 100 data yang diolah telah dimasukkan pada grup yang sesuai dengan data semula.

PENERAPAN REGRESI DATA PANEL UNTUK MEMODELKAN APBD DI PROVINSI MALUKU Thaniel Tuwanakotta; Mozart Winston Talakua; Lexy Janzen Sinay; Yonlib Weldri Arnold Nanlohy
VARIANCE: Journal of Statistics and Its Applications Vol 2 No 1 (2020): 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/variancevol2iss1page15-26

Penetapan APBD harus didasarkan pada pengelolaan keuangan daerah yang berpihak pada kepentingan masyarakat. Tujuan penelitian ini adalah menganalisa karakteristik APBD, DAU, dan DAK setiap Kabupaten/Kota di Provinsi Maluku. Kemudian memodelkan hubungan APBD dengan DAK/DAU menggunakan model regresi data panel untuk mengetahui faktor yang mempengaruhi APBD. Data yang digunakan merupakan data sekunder pada periode 2011-2014. Hasil yang diperoleh adalah karakteristik data APBD, DAU, dan DAK untuk setiap kabupaten/kota di Provinsi Maluku memiliki kemiripan, yakni berdistribusi normal. Kemudian, model terbaik adalah model REM, yakni APBD = 88.959.809+1,246DAU+c_i+u_(i,t). Dengan demikian, APBD Provinsi Maluku dipengaruhi oleh DAU. Kata Kunci: APBD, DAK, DAU, Provinsi Maluku, Regresi Data Panel

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

Implementasi metode Ward clustering untuk klasterisasi penduduk yang memiliki jaminan kesehatan pada kabupaten dan kota di Provinsi Maluku Matdoan, Muhammad Yahya; Balami, Abdul Malik; Talakua, Mozart Winston
Majalah Ilmiah Matematika dan Statistika Vol 23 No 1 (2023): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v23i1.35168

The Health Insurance Program is a protection guarantee for comprehensive health services which includes promotive, preventive and curative and rehabilitative services provided in stages for the community/participants whose contributions are paid by the government. The health insurance program in Maluku Province from year to year has been getting better. However, there are still disparities or gaps between regions in Maluku Province, so it is necessary to study the clusterization of the population who have health insurance in districts/cities in Maluku Province. Ward clustering method is a method that aims to get a cluster that has the smallest possible internal cluster variance. The purpose of this study is to obtain a cluster of residents who have health insurance in districts/cities in Maluku Province. The data used in this study were sourced from Maluku publications in figures at the Maluku Province BPS. This study obtained the results that there are 3 clusters in the cluster of residents who have health insurance in districts/cities in Maluku Province with details of cluster 1 consisting of Tanimbar Islands Regency, Central Maluku, Buru, West Seram, East Seram and South Buru District. Cluster 2 consists of Southeast Maluku Regency, Aru Islands, Southwest Maluku and Tual City. Furthermore, Cluster 3 consists of Ambon City. Keywords: Clustering, health insurance, wardMSC2020: 62H30

PEMODELAN PENGARUH IKLIM TERHADAP ANGKA KEJADIAN DEMAM BERDARAH DI KOTA AMBON MENGGUNAKAN METODE REGRESI GENERALIZED POISSON Ferry Kondo Lembang; Eysye Alchi Nara; Francis Yunito Rumlawang; Mozart Winston Talakua
Indonesian Journal of Statistics and Applications Vol 3 No 3 (2019)
Publisher : Departemen Statistika, IPB University dengan Forum Perguruan Tinggi Statistika (FORSTAT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v3i3.474

Dengue Hemorrhagic Fever (DHF) is one of the dreaded diseases of the transition season. DHF is a disease found in tropical and subtropical regions that caused by Dengue virus which is transmitted through Aedes mosquitoes. According to the World Health Organization (WHO) data, it is stated that Indonesia is the country with the highest dengue fever case in Southeast Asia. The incidence of dengue fever in Indonesia tends to increase in the middle of the rainy season, and one of the regions in Indonesia with the high level of rainfall intensity is Ambon City. DHF cases in Ambon city increase from year to year due to the last five years the intensity of rainfall is very high. Therefore, this study aims to identify climate factors that affect the incidence of DHF in Ambon City by using Generalized Poisson Regression method. Generalized Poisson Regression is appropriately considered to analyze the causing factors DHF incidence because the rating case of DHF is usually the count data that following the Poisson distribution. The results showed that the smallest AIC value for the Generalized Poisson Regression model was 75.842 with significant variables is DHF in the city of Ambon were one month earlier, air humidity, rainfall, and air humidity two months earlier.

APLIKASI DISTRIBUSI DERET PANGKAT PADA BEBERAPA JENIS DISTRIBUSI KHUSUS Talakua, Mozart Winston
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 6 No 1 (2012): BAREKENG : Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

This research about the definition and theorem of power series distribution according to its analitycal characteristics. Then it discusse about the application to another distribution, anddiscusse about the relation between it, but it especially discusse about the application of power series distribution on some other special distribution, such as the negative logarithmdistribution, the divided logarithm distribution, and invers sinus distribution

ANALISIS REGRESI LOGISTIK ORDINAL TERHADAP FAKTOR-FAKTOR YANG MEMPENGARUHI WAKTU KELULUSAN MAHASISWA S1 DI FMIPA UNPATTI AMBON TAHUN 2016 DAN 2017 Talakua, Mozart Winston; Ratuanak, Albertina; Ilwaru, Venn Yan Ishak
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 13 No 1 (2019): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Analisis regresi logistik ordinal merupakan salah satu metode statistik yang digunakan untuk mencari pengaruh antara variabel respon dengan satu atau lebih variabel prediktor. Pada penelitian ini analisis regresi logistik ordinal diterapkan untuk memodelkan faktor-faktor yang mempengaruhi waktu kelulusan mahasiswa S1 di FMIPA Unpatti Ambon. Variabel yang digunakan adalah waktu kelulusan mahasiswa, jurusan dan jenis kelamin. Data diperoleh dari bagian akademik FMIPA. Hasil penelitian ini diketahui bahwa faktor-faktor yang mempengaruhi waktu kelulusan mahasiswa S1 FMIPA Unpatti Ambon yaitu faktor internal jurusan.

DESIGN OF KIP KULIAH SELECTION SYSTEM AND RECIPIENT DETERMINATION USING SUPPORT VECTOR MACHINE (SVM) Talakua, Mozart Winston; Tomasouw, Berny Pebo; Ilwaru, Venn Yan Ishak
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 3 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss3pp1803-1814

KIP Kuliah is tuition assistance from the government for high school graduates or equivalent with good academic potential but has economic limitations. In recent years it has been seen that the Indonesian government has always tried to increase the quota for KIP Kuliah recipients. In this study, the Support Vector Machine (SVM) method was applied to create a system for selecting and determining KIP Kuliah recipients. To obtain the best model to be used in the system, the training and testing data are divided into three data distribution schemes, namely 60/40, 70/30, and 80/20. After the training and testing process was carried out using the SVM method with various parameter variations, then the best accuracy rate of 94.59% is obtained in the 80/20 data sharing scheme for the nonlinear SVM model with the RBF kernel. With this system, it is hoped that the KIP Kuliah selection process at the tertiary level can run effectively, efficiently and the results of the determination are more targeted.

Dynamics of Alcohol Consumption Model with Public Awareness and Saturated Incidence Beay, Lazarus Kalvein; Saija, Maryone; Rijoly, Monalisa E.; Lesnussa, Yopi Andry; Talakua, Mozart Winston; Ilwaru, Venn Yan Ishak
Indonesian Journal of Computational and Applied Mathematics Vol. 1 No. 2: June 2025
Publisher : Gammarise Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64182/indocam.v1i2.14

This article develops a mathematical model for studying the impact of public awareness and intervention strategies on alcohol consumption patterns. To protect populations from addiction, we are focusing on educational campaigns and interventions. Alcohol consumption cases decrease as the model variable awareness susceptible class is increased through awareness campaigns and interventions. The nonnegativity and boundedness of the model's solutions are analyzed. A qualitative analysis of the model's equilibrium points and the alcohol reproductive number, R0, was performed. Global stability was analyzed for alcohol consumption at the positive equilibrium point via a suitable Lyapunov function. When the alcohol reproductive number (R0) is less than one, the alcohol-free equilibrium is globally asymptotically stable; otherwise, it is unstable. Although educational campaigns protect vulnerable people, their impact on the model is substantial. The simulation shows that the intervention directly and drastically reduces the target alcoholic population.

Co-Authors Abraham Zakharia Wattimena Balami, Abdul Malik Beay, Lazarus Kalvein Citra Fathia Palembang Eysye Alchi Nara Ferry Kondo Lembang Ferry Kondo Lembang Ilwaru, Venn Yan Ishak Jefri Esna Thomas Radjabaycolle Lexy Janzen Sinay Matdoan, Muhammad Yahya Mega Selvi Hasanudin Patty, Henry Willyam Michel Ratuanak, Albertina Rijoly, Monalisa E. RUMLAWANG, FRANCIS YUNITO Saija, Maryone Thaniel Tuwanakotta Tomasouw, Berny Pebo Yonlib Weldri Arnold Nanlohy Yopi Andry Lesnussa Zeth Arthur Leleury, Zeth Arthur

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