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dCartesian: Jurnal Matematika dan Aplikasi
Published by Universitas Sam Ratulangi
ISSN : 23024224     EISSN : 26851083     DOI : https://doi.org/10.35799/
Core Subject : Science, Education,
Computer Science & IT Mathematics
dCartesiaN merupakan jurnal yang berhubungan dengan matematika dan komputasi bersama turunan-turunannya (aljabar, geometri, analisis, matematika terapan, matematika diskrit, statistika, teknologi informasi, sistem informasi, rekayasa perangkat lunak).
Arjuna Subject : Matematika - Matematika Terapan
Articles 5 Documents
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Search results for , issue "Vol. 12 No. 1 (2023): Maret 2023" : 5 Documents clear
Analisis Faktor – faktor yang Mempengaruhi Penerimaan Pajak Bumi dan Bangunan (PBB) di Kabupaten Minahasa Utara Menggunakan Metode Regresi Linier Berganda Tiara Tesalonica Andries Tiara; Hanny A.H. Komalig; Djoni Hatidja
d\'Cartesian: Jurnal Matematika dan Aplikasi Vol. 12 No. 1 (2023): Maret 2023
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/dc.12.1.2023.47369

Abstract

Tujuan penelitian ini untuk menentukan faktor-faktor apa saja yang mempengaruhi penerimaan pajak Bumi dan Bangunan (PBB) di Kabupaten Minahasa Utara. Data yang digunakan ialah data sekunder yang diperoleh dari Badan Pusat Statistik dan Badan Pengelolaan Keuangan dan Aset Daerah Kabupaten Minahasa Utara tahun 2020 dengan banyak data yaitu 131 sesuai dengan jumlah desa yang ada di Kabupaten Minahasa Utara . Hasil penelitian diperoleh model regresi linier berganda dan menunjukan bahwa secara parsial luas wilayah dan jumlah penduduk berpengaruh positif terhadap penerimaan pajak bumi dan bangunan (PBB). Secara simultan luas wilayah , jumlah penduduk , industri makanan dan industri non makanan berpengaruh terhadap penerimaan pajak bumi dan bangunan (PBB) di Kabupaten Minahasa Utara.
Pengaruh Kualitas Pelayanan Jasa Transportasi GOJEK Terhadap Kepuasan Konsumen Mahasiswa Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Sam Ratulangi Jurusan Matematika Angkatan 2021 Anugrah Puja Satria Mokodompit; John S Kekenusa; Hanny A. H Komalig
d'CARTESIAN:Jurnal Matematika dan Aplikasi Vol. 12 No. 1 (2023): Maret 2023
Publisher : Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/dc.12.1.2023.47544

Abstract

Tujuan penelitian ini yaitu mengetahui pengaruh kualitas pelayanan jasa transportasi GOJEK terhadap kepuasan konsumen. Data yang digunakan merupakan data primer melalui kuesioner dengan total sampel 61 responden. Analisis yang dipakai adalah regresi linier menggunakan bantuan software SPSS. Variabel yang digunakan dalam penelitian ini adalah kepuasan konsumen (Y), Bukti Fisik (X1), Kehandalan (X2), Daya Tanggap (X3), Jaminan (X4), dan Empati (X5). Hasil penelitian menunjukkan bahwa variabel berpengaruh terhadap kepuasan konsumen (Y). Koefisien Determinasi (R2) adalah 59,1% menunjukkan bahwa secara simultan variabel Bukti Fisik (X1), Kehandalan (X2), Daya Tanggap (X3), Jaminan (X4), Empati (X5) mempengaruhi kepuasan konsumen (Y). Variabel Jaminan (X4) memberi pengaruh terbesar.
ANALISIS ANTRIAN PADA “SUPERMARKET COOL” TOMOHON MENGGUNAKAN TEORI ANTRIAN UNTUK MENENTUKAN PELAYANAN YANG OPTIMAL Imelda Christina Bella Chandra Chan; Marline Sofiana Paendong; Tohap Manurung
d'CARTESIAN:Jurnal Matematika dan Aplikasi Vol. 12 No. 1 (2023): Maret 2023
Publisher : Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/dc.12.1.2023.48046

Abstract

IMELDA CHRISTINA BELLA CHANDRA CHAN. Queuing Analysis on “Supermarket Cool” Tomohon by using queuing theory in determining optimal service. Under the guidance of MARLINE S. PAENDONG as the head of the team and TOHAP MANURUNG as the member. The fulfillment of customer demands in both levels of quantity and quality has caused the business world to continue striving in improving their service quality. A company that provides slow service will cause longer queues. Thus, the researcher tried to evaluate cashier service for 7 days. This study aims to determine queuing model, the average amount of customer visit, average service of the supermarket, and optimization of the cashier service quantity. The analysis method that has been implied for this study is direct observation and used descriptive analysis and multiple lane queuing model that has more than one service facility or queuing structure that has been applied at the supermarket which is multi-channel single phase. The result of the study showed that “Supermarket Cool” Tomohon there was a long queue at the noon around 11 am to 1 pm. This result was obtained by using multiple lane queuing model. There were 4 customers who had been waiting for 8 to 9 minutes, and there were 2 customers in the system that spent 4.638 minutes. In addition, during the evening service time, there were 3 customers in the line and spent 6-7 minutes for the payment transaction. This happened around 6 pm to 8 pm, meanwhile there were 2 customers in the system who spent 3 to 4 minutes. The results showed that by adding 2 cashier facilities during the peak hours shortened the queuing line.
Peramalan Banyaknya Penumpang Bandar Udara Internasional Sam Ratulangi Manado Dengan Metode Winter's Exponential Smoothing dan Seasonal ARIMA Priscilia Felicia Angel Tambuwun; Nelson Nainggolan; Yohanes A.R Langi
d'CARTESIAN:Jurnal Matematika dan Aplikasi Vol. 12 No. 1 (2023): Maret 2023
Publisher : Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/dc.12.1.2023.48066

Abstract

The Winter's Exponential Smoothing method is used to overcome seasonal patterns in data. This method is divided into two models, namely additive and multiplicative models. While the Seasonal ARIMA method is an ARIMA method used to solve seasonal time series. The data used is secondary data from PT. Angkasa Pura I (Persero) Sam Ratulangi International Airport Manado for the period January 2015 to December 2022. The purpose of this research is to determine the model for forecasting the number of passengers at PT.Angkasa Pura I (Persero) Sam Ratulangi International Airport Manado, as well as to compare the Winter's method Exponential Smoothing and Seasonal ARIMA based on the smallest MSD value. The results of the comparison of the two methods with the smallest MSD value are the Winter's Exponential Smoothing method with the multiplicative model equation. The results of the analysis on arriving passengers, namely the exponential smoothing of the original data (α) is 0.9, the smoothing of the trend pattern (β) is 0.1, and the smoothing of the seasonal pattern (γ) is 0.1. With the results of the 2023 forecast, namely: January 95,046, February 87,154, March 98,462, April 97,391, May 110,061, June 103,098, July 130,360, August 118,165, September 108,790, October 115,673, November 112,114, and December 136.40. The results of the analysis on domestic passenger departures are α = 0.9, β = 0.1, and γ = 0.2. With the results of forecasting the number of departures in 2023, namely January 108.900, February 88.588, March 100.646, April 98.066, May 111.638, June 112.963, July 126.684, August 111.471, September 111.872, October 116.211, November 111.990, and December 117.431.
The Model Exponential GARCH (EGARCH) Untuk Memprediksi Harga Saham PT Merdeka Copper Gold Tbk Agnes Eunike Sangian; Nelson Nainggolan; Deiby T Salaki
d'CARTESIAN:Jurnal Matematika dan Aplikasi Vol. 12 No. 1 (2023): Maret 2023
Publisher : Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/dc.12.1.2023.48094

Abstract

The price of gold is determined by trading in the gold market and its derivatives. This study aims to determine the EGARCH model in predicting gold stock prices at PT Merdeka Copper Gold Tbk and to obtain the prediction results of the EGARCH model at PT Merdeka Copper Gold Tbk. There are two asymmetric GARCH response modeling techniques, namely the Threshold GARCH model (TGARCH) from Glosten, et al (1993) and Exponential GARCH (EGARCH) from Nelson (1991). The research results show that the ARIMA model (0,1,1) has the smallest AIC value of 6096.38. The GARCH model is obtained by GARCH (0,1), so it can be modeled using the EGARCH model. The EGARCH model obtained is EGARCH (1.7).

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