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All Journal dCartesian: Jurnal Matematika dan Aplikasi Jurnal MIPA Journal Social Science And Technology For Community Service d'Cartesian: Jurnal Matematika dan Aplikasi Indonesian Journal of Intelligence Data Science (IJIDS)
Nelson Nainggolan
Universitas Sam Ratulangi
Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Physics

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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).
Pembuatan Website Sebagai Media Informasi Digital pada Biovina Herbal Sanriomi Sintaro; Dingse Pandiangan; Nelson Nainggolan; Albani Boutje Johanes; Amelya Ramadhanty Van Gobel; Verina Putri Gloria Nainggolan
Journal of Social Sciences and Technology for Community Service (JSSTCS) Vol 4, No 2 (2023): Volume 4, Nomor 2, September 2023
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v4i2.3354

Abstract

Website adalah aplikasi yang dapat dijalankan dengan menggunakan web browser, saat ini hampir semua gawai dapat menjalankan web browser yang menyebabkan website dapat dibuka di hampir semua gawai yang ada. Website sendiri saat ini digunakan sebagai media informasi yang dapat mengenalkan sesuatu seperti membrrikan informasi sekolah, Perusahaan ataupun memperkenalkan produk yang dimiliki sebuah toko. Tidak Hanya sampai situ, saat ini website bahkan dapat digunakan untuk melakukan jual beli produk yang dapat diakses dengan mudah dan cepat. Dengan kemudahan yang dapat diberikan oleh website, media informasi yang ada dapat fokus dengan kecepatan pengenalan produk dan juga mengenalkan informasi yang dimiiliki oleh satu pihak. Dalam pengabdian ini tim pelaksana membuatkan website yang dikembangkan dengan menggunakan bahasa Pemrograman HTML dan PHP, sedangkan database yang digunakan adalah MySQL. Manfaat dari website yang dibuat untuk Biovina Herbal adalah untuk mengenalkan produk obat herbal dan juga sebagai media informasi terkait Biovina Hernal.
Analisis Faktor-faktor yang Mempengaruhi Harga Cabai Merah di Kota Manado Provinsi Sulawesi Utara Menggunakan Analisis Regresi Linear Berganda Mikhael F.I. Kolibu; Nelson Nainggolan; Yohanes Andreas Robert Langi
Jurnal MIPA Vol. 13 No. 1 (2024): Artikel
Publisher : Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/jm.v13i1.52258

Abstract

Cabai merupakan tanaman yang di butuhkan di masyarakat Indonesia baik sebagai bahan penyedap masakan, tanaman kesehatan, bahkan sebagai mata pencaharian, selain itu cabai merah memiliki nilai gizi yang cukup tinggi, dan juga mempunyai nilai ekonomi tinggi. Tujuan penelitian ini untuk mengetahui faktor-faktor yang mempengaruhi harga cabai merah di Kota Manado Provinsi Sulawesi Utara menggunakan Analisis Regresi Linear Berganda. Data yang digunakan adalah data sekunder yang diperoleh dari Badan Pusat Statistik Sulawesi Utara dengan data berupa harga cabai per bulan di Kota Manado periode tahun 2020-2022. Variabel yang digunakan dalam penelitian ini adalah produksi , luas lahan , curah hujan , dan inflasi . Hasil penelitian ini didapatkan model regresi linear berganda  dan menunjukkan bahwa secara parsial luas lahan  dan inflasi  berpengaruh positif terhadap harga cabai merah. Secara simultan produksi , luas lahan , curah hujan , dan inflasi  berpengaruh terhadap harga cabai merah di Kota Manado Provinsi Sulawesi Utara. Chili is a plant that is needed in Indonesian society both as a food flavoring ingredient, a health plant, even as a livelihood. Besides that, red chili has quite high nutritional value, and also has high economic value. The purpose of this study was to determine the factors that influence the price of red chili in Manado City, North Sulawesi Province using Multiple Linear Regression Analysis. The data used is secondary data obtained from the Central Bureau of Statistics of North Sulawesi with a lot of data per month in Manado City for the 2020-2022 period. The variable used in this research is production , land area , rainfall , inflation . The results of this study obtained a multiple linear regression model   and show that partially land area  and inflation  positive effect on the price of red chili. Simultaneous production , land area , rainfall , and inflation  effect on the price of red chili in Manado City, North Sulawesi Province.
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 : Sam Ratulangi University

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 : Sam Ratulangi University

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).
PENERAPAN SISTEM PENDUKUNG KEPUTUSAN SEKOLAH MENENGAH PERTAMA DI KABUPATEN MINAHASA SELATAN MENGGUNAKAN METODE SAW Claudio Dandi J Paisa; Nelson Nainggolan; Winsy Christo Deilan Weku
Indonesian Journal of Intelligence Data Science Vol 3 No 1 (2024): Volume 3 No 1 2024
Publisher : Faculty of Mathematics and Natural Sciences Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/ijids.v3i1.50154

Abstract

The development of internet technology today is growing rapidly. The internet makes it easier for humans to access information and do various things, we can find the information we need and expand communication networks with technological sophistication, as well as information on junior high schools in South Minahasa district which is still less effective. The purpose of this study was to create a website-based decision support system for junior high schools in South Minahasa district as a means of information for parents and students. The method used in designing this system is the waterfall method. The resulting program is a decision support system for junior high schools in South Minahasa district.
Co-Authors Agnes Eunike Sangian Albani Boutje Johanes Amelya Ramadhanty Van Gobel Claudio Dandi J Paisa Deiby T Salaki Dingse Pandiangan Mikhael F.I. Kolibu Priscilia Felicia Angel Tambuwun Sanriomi Sintaro Verina Putri Gloria Nainggolan Winsy Christo Deilan Weku Yohanes A.R Langi Yohanes Andreas Robert Langi