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All Journal d'Cartesian: Jurnal Matematika dan Aplikasi
Marline S Paendong
Sam Ratulangi University
Mathematics

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Penerapan Metode SAW (Simple Additive Weighting) pada Perankingan SMA-SMA di Kabupaten Minahasa Selatan Handra R Sagrang; Marline S Paendong; Altien J Rindengan
d\'Cartesian: Jurnal Matematika dan Aplikasi Vol. 9 No. 1 (2020): Maret 2020
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/dc.9.1.2020.25730

Abstract

Education is one of the most important factors for the life of every human being to gain wider insights to support a better life. This study uses variables regarding the national standard of high school education, namely Content Standards, Educator and Education Staff Standards, Graduates Competency Standards, and Educational Assessment Standards in South Minahasa District which are applied using the SAW (Simple Additive Weighting) method by building An Expert System Application. The results obtained are based on calculations done by researchers and application calculations have the same value that is 97,569 namely SMA 1 Amurang.
Analisis Sistem Antrian Di PT. Bank Negara Indonesia (Persero) Tbk. Kantor Cabang Manado Ripit Budiman; Djoni Hatidja; Marline S Paendong
d\'Cartesian: Jurnal Matematika dan Aplikasi Vol. 9 No. 1 (2020): Maret 2020
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/dc.9.1.2020.25750

Abstract

The purpose of this research was to determine the queuing model and determine the characteristic length of the queue at PT. Bank Negara Indonesia Branch Office of Manado. Data collection was carried out for 5 days. The queuing system model used is the B:M/M/S Model (Multiple Channel Query System), the number of tellers that operating there are 7 tellers and the service used is First Come First Served, the arrival rate is Poisson distribution, and the service time is Exponential distribution. The result of this research shows the average number of arrivals is 42 customers who come per hour, and the average number of customers served is 9 customers served per hour. There are no customers in the 0.01 system, the average number of customers in the system is 6 customers, the time customers spend in the queue and is being served is 8-9 minutes, the average number of customers waiting in the queue to be served is 1 customer, and the average time of customers spend for waiting in the queue is 1-2 minutes.
PREDIKSI JUMLAH PENDERITA DEMAM BERDARAH DI KABUPATEN KEPULAUAN SANGIHE MENGGUNAKAN MODEL ARIMA MUSIMAN Jekir Venkil Dompas; John S. Kekenusa; Marline S Paendong
d\'Cartesian: Jurnal Matematika dan Aplikasi Vol 9, No 2 (2020): September 2020
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/dc.9.2.2020.29139

Abstract

Penyakit Demam Berdarah Dengue adalah penyakit yang disebabkan oleh virus Dengue ditularkan kepada manusia melalui gigitan nyamuk Aedes Aegypti dan Aedes Albocpictus. Demam berdarah muncul sebagai kejadian luar biasa (KLB) sehingga mengakibatkan kepanikan di masyarakat karena beresiko menyebabkan kematian serta peyebarannya sangat cepat. Oleh sebab itu perlu dilakukan analisis tentang jumlah penderita demam berdarah yang akan datang. Metode ARIMA merupakan salah satu metode yang dapat digunakan dalam memprediksi jumlah penderita demam berdarah. Penelitian ini menggunakan data jumlah penderita demam berdarah bulanan di Kabupaten kepulauan Sangihe mulai dari bulan Januari 2011 hingga April 2019 untuk memprediksi jumlah penderita demam berdarah pada bulan Mei 2019 hingga April 2024. Prediksi Jumlah penderita DBD lima tahun berikutnya, terhitung mulai Mei 2019 sampai April 2024 sebanyak 1, 1, 1, 3, 1, 0, 1, 4, 1, 4, 1, 1, 1, 2, 1, 0, 2, 3, 1, 0, 3, 0, 2, 3, 1, 1, 1, 3, 2, 1, 2, 3, 1, 3, 1, 1, 2, 3, 2, 1, 2, 3, 2, 1, 3, 1, 3, 3, 2, 2, 2, 3, 3, 1, 2, 3, 2, 3, 2, 2 penderita
Co-Authors Altien J Rindengan Djoni Hatidja Handra R Sagrang Jekir Venkil Dompas John S. Kekenusa Ripit Budiman