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All Journal dCartesian: Jurnal Matematika dan Aplikasi Jurnal MIPA Jurnal TIMES ILKOM Jurnal Ilmiah Vivabio : Jurnal Pengabdian Multidisiplin Journal Social Science And Technology For Community Service Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Operations Research: International Conference Series Jurnal Ilmiah Sains d'Cartesian: Jurnal Matematika dan Aplikasi
Djoni Hatidja
Department Of Mathematics, Sam Ratulangi University, Manado
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Physics Public Health

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Application of the SARIMA Method in the Step Function Intervention to Predict the Number of Visitors at Londa Tourism Object Geovani Christie; Djoni Hatidja; Rinancy Tumilaar
Jurnal Ilmiah Sains Volume 22 Nomor 2, Oktober 2022
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (413.095 KB) | DOI: 10.35799/jis.v22i2.40961

Abstract

The object of this study are to determine the intervention model of the number of visitors at the Londa tourism object and predict the number of visitors at the Londa tourism object for December 2021 to June 2020 using Seasonal Autoregresive Integrated Moving Average (SARIMA) models. The data used is monthly data for the period from January 2018 to November 2021, which was obtained from the manager of the Londa tourist object. The data pattem on the number of visitors at the Londa tourism object experienced significant fluctuations on April 2020 (T=28). The suspected intervention model is a step function because the effect of the intervention that occurred took place over a long period of time, from April 2020 to November 2021 (T=28 to T=47). The best model obtained from the results of data analysis is SARIMA (1,1,0)(1,1,0)[6] with an intervention order of b=0, s=5, and r=2, with MAPE and MAE values are 4,38% and 0,397.  Forecasting results from December 2021 to June 2022 respectively, are 2550, 756, 347, 515, 1585, 1287 and  2247 people.  The number of visitors will increase during the holiday season, i.e. December and June.Keywords: Intervention model; Londa tourism object; step functionPenerapan Metode SARIMA dalam Model Intervensi Fungsi Step untuk Memprediksi Jumlah Pegunjung Objek Wisata LondaABSTRAKTujuan dari penelitian ini yaitu menentukan model intervensi pada data jumlah pengunjung di objek wisata Londa dan memprediksi jumlah pengunjung objek wisata Londa pada bulan Desember 2021 sampai Juni 2022 menggunakan model Seasonal Autoregresive Integrated Moving Average (SARIMA). Data yang digunakan adalah data jumlah pengunjung bulanan pada periode bulan Januari 2018 sampai bulan November 2021, yang diperoleh dari pihak pengelolah objek wisata Londa.  Pola data jumlah pengunjung pada objek wisata Londa mengalami fluktuasi yang signifikan, yaitu pada bulan April 2020 (T=28). Model intervensi yang digunakan dalam penelitian ini yaitu fungsi step karena pengaruh yang terjadi berlangsung dalam kurun waktu cukup lama yaitu pada bulan April 2020 sampai November 2021 (T=28 sampai T=47).  Model terbaik yang diperoleh dari hasil analisis data yaitu SARIMA (1,1,0)(1,1,0)[6] dengan orde intervensi b=0, s=5, dan r=2, dengan nilai MAPE dan MAE masing-masing sebesar 4,38% dan 0,397.  Hasil prediksi dari bulan Desember 2021 sampai Juni 2022 secara berturut-turut yaitu 2550, 756, 347, 515, 1585, 1287 dan 2247 orang.  Jumlah pengunjung akan meningkat pada waktu musim liburan yaitu Bulan Desember dan Juni.Kata kunci: Model intervensi; fungsi step; objek wisata Londa,
Identification of sea urchins in melonguane coastal area using Multilayer Perceptron Neural Network Andar Alwein Pinilas; Luther Alexander Latumakulita; Djoni Hatidja
ILKOM Jurnal Ilmiah Vol 14, No 2 (2022)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v14i2.1208.169-177

Abstract

Sea urchins (Echinoidea) are marine biota that is found in Indonesian waters and there are 950 types of sea urchins scattered throughout the world. This study aims to classify types of sea urchins based on the characteristics contained in sea urchin images using the Multilayer Perceptron Neural Network (MLP-NN) method with 3 classification classes. 120 sea urchin image data were taken from the Melonguane beach area, Talaud Islands Regency, North Sulawesi Province. In the MLP-NN stage, training, validation, and testing processes are carried out by applying 8-fold cross-validation, and the system performance shows the lowest accuracy of 93.33%, the highest 100%, and an average of 98.33%. The experimental results indicate that MLP-NN can classify sea urchins with good performance.
Profil Pengguna Kartu Telepon Seluler di Kota Manado Menggunakan Analisis Korespondensi Djoni Hatidja
Jurnal Ilmiah Sains Volume 7 Nomor 1, April 2007
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/jis.v7i1.48111

Abstract

Penelitian ini bertujuan untuk melihat kecenderungan konsumen dalam memilih dan menggunakan kartu telepon selular di kota Manado. Penelitian dilaksankan di Kota Manado pada bulan Juli sampai September 2006 dengan jumlah responden sebanyak 200 orang yang dibagi secara acak di kota Manado. Hasilnya menunjukkan bahwa konsumen telepon kartu di kota Manado cenderung menggunakan kartu flexi karena banyak undian, biaya percapakannya murah, pulsanya murah serta biaya SMS yang murah. Konsumen cenderung menggunakan kartu simpati karena jangakauannya Luas. Konsumen cenderung menggunakan kartu matriks karena harga perdananya murah dan tempat penjualan pulsanya murah. Konsumen cenderung menggunakan kartu AS, dan mentari karena penggunanya banyak, harga vouchernya murah, dan tidak merepotkan dalam pengisian pulsa. Konsumen cenderung menggunakan Pro XL bebas karena harga vouchernya murah. Sedangkan kartu XPLO, kartu hallo dan kartu Pro XL jempol cenderung tidak diminati oleh konsumen kartu telepon. Kata kunci : Kartu telepon, telepon seluler, analisis korespondensi CONSUMER PROFILE CELLULAR PHONE CARD IN MANADO USING CORRESPONDENCE ANALYSIS ABSTRACT The objective of this research that seen consumer trend to choose and using cellulsr phone card in Manado. This research carried out in Manado on July until September 2006 with 200 sample size. The result shows that phone card consumer tend was using flexi card because much lottery, cheap talking cost, cheap pulse and cheap short message (SMS). Consumer tend was using matrix card because cheap prepayment, and easy to search salle location. Consumer tend was using AS and Mentari card because much user’s, cheap voucher price and easy to recharged pulse. Consumen tend was using Pro XL because cheap voucher price. While, XPLO, Hallo card, and Jempol Po XL tend wasn’t using by consumer. Keywords: Phone card, cellular phone, correspondence analysis
Correlation Between Interest Entry Senior High School Student with Parents Social Economy and Environment (Case Study: Senior High School Students in Manado City) Djoni Hatidja
Jurnal Ilmiah Sains Volune 8 Nomor 1, April 2008
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/jis.v8i1.49155

Abstract

The objective of this research was to know correlation between interest entry of senior high school student at university with parents social economy, and stay location. This research had been done at some state senior high school (third natural science class, third social science class and third language class) in Manado on January to April 2007. The results showed that parents education, parents job, parents income and environment of student address have correlation between interest student to continu at university. Keywords: Senior high school, parents education, parents income
Penerapan Autoregressive Distributed Lag (ARDL) Dalam Memodelkan Pengaruh Lama Sekolah Dan Tingkat Pengangguran Terbuka Terhadap Kemiskinan di Kota Manado Eka Elencya Trisilia Laloan; Nelson Nainggolan; Djoni Hatidja
d\'Cartesian: Jurnal Matematika dan Aplikasi Vol. 12 No. 2 (2023): September 2023
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/dc.12.2.2023.48784

Abstract

The increase in poverty rates in Manado City, North Sulawesi, is influenced by various factors such as the average length of schooling and the open unemployment rate. This study aims to determine a model and to determine whether the average length of schooling and the open unemployment rate can affect the poverty rate in Manado City from previous time periods using the autoregressive distributed lag (ARDL) model. The data used in this study are secondary data, namely the percentage of poverty rates, average length of schooling, and the percentage of open unemployment rates taken from the Central Bureau of Statistics (BPS) of Manado City, North Sulawesi Province, from the annual period starting from 2003-2021. The results showed that the best model offered by Akaike Information Criteria (AIC) was ARDL (2,2,2) with the smallest AIC value of -0.36 with the model equation with the results that both independent variables, average length of schooling and open unemployment rate, can affect poverty in Manado City.
Prediksi Curah Hujan Kota Manado Dengan Menggunakan Metode Autoregressive Moving Average (ARMA) Adianto Pakkung; Djoni Hatidja; Jullia Titaley
d\'Cartesian: Jurnal Matematika dan Aplikasi Vol. 13 No. 1 (2024): Maret 2024
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/dc.13.1.2024.53780

Abstract

This study aims to determine the best ARMA model for predicting Manado City rainfall using the ARMA method. The data used in this study is time series data, namely data on the monthly rainfall period of Manado City starting from September 2018 to August 2023. The results showed that the best model obtained was the ARMA model (1,11) with the equation . From the results of the rainfall prediction, Manado City has an accurate level of MAPE value of 56%, with consecutive predictions from September 2023 to March 2024 are 83.2 mm, 98.8 mm, 131.1 mm, 289.1 mm, 237.7 mm, 222.6 mm, 206.9 mm.
Peramalan Harga Minyak Goreng di Provinsi Sulawesi Utara dengan Menggunakan Metode Analisis Autoregressive Integrated Moving Average (ARIMA) Marsela Pangalila; Charles E. Mongi; Djoni Hatidja
d\'Cartesian: Jurnal Matematika dan Aplikasi Vol. 13 No. 1 (2024): Maret 2024
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/dc.13.1.2024.53818

Abstract

Cooking oil is a basic ingredient that plays an important role in the Indonesian economy. Cooking oil is one of the nine basic commodities which plays an important role in the Indonesian economy. The data used for research is from the Agency Center for Statistics from January 2018 to December 2022 with the forecasting method used for this data, namely the Autoregressive Integrated Moving Average (ARIMA) time series method. This research aims to obtain the best time series model and to determine the results of forecasting cooking oil prices in North Sulawesi using the ARIMA method. The research results show that the best model obtained is the ARIMA model (1,2,1) with a Mean Square Error (MSE) of 350248. From the forecasting results it is found that the price of cooking oil has increased.
ANALISIS BIPLOT UNTUK MEMETAKAN SEKOLAH MENENGAH PERTAMA DI KABUPATEN KEPULAUAN SANGIHE BERDASARKAN EMPAT INDIKATOR STANDAR NASIONAL PENDIDIKAN Jaqualine Tinungki; Djoni Hatidja; Hanny Komlaig
d\'Cartesian: Jurnal Matematika dan Aplikasi Vol. 3 No. 2 (2014): September 2014
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/dc.3.2.2014.5338

Abstract

Tujuan dari penelitian ini adalah untuk  memetakan keunggulan dan kekurangan dari SMP-SMP di Kabupaten Kepulauan Sangihe berdasarkan empat indikator standar nasional pendidikan dengan menggunakan analisis biplot. Keempat indikator standar nasional tersebut merupakan peubah pada penelitian ini, standar tersebut  yaitu standar pendidik dan tenaga kependidikan,  standar sarana dan prasarana, standar pengelolaan dan standar pembiayaan pendidikan. Data yang digunakan dalam penelitian adalah data sekunder yang diambil dari Dinas Pendidikan Nasional Kabupaten Kepulauan Sangihe dan dari sampel 12 SMP di Kabupaten Kepulauan Sangihe.Hasilnya menunjukan bahwa, sekolah-sekolah yang dikategorikan telah memiliki standar yang unggul terhadap keempat indikator standar nasional pendidikan adalah SMPN 1 Tahuna, SMPN 2 Tahuna, SMPN 3 Tahuna, SMPN 1 Tabukan Selatan tenggara dan SMPN 1 Tabukan Selatan. Sedangkan Sekolah – sekolah yang dikategorikan memiliki standar yang kurang unggul terhadap keempat indikator standar nasional pendidikan adalah SMPN 1 Manganitu Selatan, SMPN 1 Tabukan Selatan Tengah, SMP Kristen Bellae, SMPN 6 Tabukan Utara, SMP Kristen Sawang Jauh, SMPN 6 Satap Manganitu dan SMPN 4 Tamako. Sekolah yang dikatakan unggul pada jumlah dan kualifikasi guru, pustakawan, dan laboran.Jumlah dan luas ruang perpustakaan, jumlah dan luas ruang guru, serta jumlah dan luas ruang tata usaha adalah SMP Negeri 1 Tahuna.
Analisis Cluster Terhadap Prestasi Mahasiswa Jurusan Matematika Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Sam Ratulangi Berdasarkan Nilai Akhir Mata Kuliah Wajib Tahun 2018 Alfrina Alfrina; Djoni Hatidja; Jullia Titaley
d\'Cartesian: Jurnal Matematika dan Aplikasi Vol. 8 No. 1 (2019): Maret 2019
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/dc.8.1.2019.24593

Abstract

A B S T R A K        Analisis Cluster Terhadap Prestasi Mahasiswa Jurusan Matematika Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Sam Ratulangi Berdasarkan Nilai Akhir Mata Kuliah Wajib Tahun 2018. Penelitian ini bertujuan untuk mengelompokkan mahasiswa-mahasiswa pada jurusan matematika berdasarkan kemiripan karakteristik terhadap prestasi mahasiswa dari sudut pandang nilai akhir mata kuliah wajib tahun 2018 yang dicapai dengan menggunakan metode analisis cluster.Hasil yang didapatkan pada program studi matematika, untuk minat analisis terdapat 54 mahasiswa yang disarankan dan 10 mahasiswa tidak disarankan. Untuk minat komputasi, 57 mahasiswa disarankan dan 7 tidak disarankan. Dan untuk minat statistika, 55 mahasiswa disarankan dan 9 tidak disarankan. Pada program studi sistem informasi terdapat 22 mahasiswa tergolong sangat baik, 27 mahasiswa tergolong baik dan 6 mahasiswa tergolong cukup.  
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.
Co-Authors Adianto Pakkung Alfrina Alfrina Alfrina, Alfrina Altien J. Rindengan Andar Alwein Pinilas Arini Mamangkey Aron F Pualalo Audy Denny Wuntu Bastiaan, Richy Marcelino Belenehu, Fiqih Syaukani Budiman, Ripit Chandra Purwanto Charles E Mongi Charles E Mongi Charles E. Mongi Charles E. Mongi Chirdy Onibala, Chirdy Christian Alderi Jeffta Soewoeh Christian Y Lumenta Deiby T Salaki Denis G. Allo Djaka Liputo Eka Elencya Trisilia Laloan Eliasta Ketaren, Eliasta Faranika Deysi G Maneking Fiqih Syaukani Belenehu Geovani Christie Greis S Lilipaly Hanny Komalig Hanny Komlaig Hanny Komlaig Harikadua, Meilissa Iriansu, Irfah Syagitsyah Jamner Lawendatu Janet Graciela Paruntu Jantje D Prang Jantje D Prang Jantje D Prang Jantje D. Prang Jaqualine Tinungki Jaqualine Tinungki John S Kekenusa John Socrates Kekenusa Josua A.S Pamekas Jullia Titaley Julyanti S Malensang Kaplale, Jaidun Ramadhan Komalig, Hanny Andrea Huibert Leivy G. Paruntu Lengkong, Vanda Lidya I Momuat Lidya I Momuat Lidya Irma Momuat Luther Latumakulita Mandagi, Tamariska Ega Tabitha Maneking, Faranika Deysi G Mans Mananohas Mans Mananohas, Mans Mapalie, Natassya Klarissa Ribka Marline Paendong Marline S Paendong Marsela Pangalila Mega Sriningsih Meilissa Harikadua Melky Sepang, Melky Momuat, Lidya Muliyati Gugutu Nelson Nainggolan NELSON NAINGGOLAN Nelson Nainggolan Nelson Nainggolan Pamekas, Josua A.S Pantow, Yehuda Paruntu, Janet Graciela Paruntu, Leivy G. Patrix Rembang Pontoh, Sophia Olga Prastika Tumilaar Pualalo, Aron F Redianus Daman Rembang, Patrix Ridel Runturambi Rindengan, Altien J. Rinny Tutud Ripit Budiman Runtu, Marini Runturambi, Ridel Sagai, Friska Sanriomi Sintaro Selfina Clara Wohon Sinnyo Salmon, Sinnyo Sriningsih, Mega Stefano Kasal Taarega Taarega, Stefano Kasal Tamariska Ega Tabitha Mandagi Tohap Manurung Trisnawaty V. Gobel Tumilaar, Rinancy Tutud, Rinny Victor N.R Watung Wawo, Rohelio Yoel Winsy Christo Deilan Weku Winsy Christo Deilan Weku Winsy Weku Wisard Widsli Kalengkongan Wohon, Selfina Clara Yohana Pangemanan Yohanes A. R. Langi Yohanes A.R Langi Yohanes A.R Langi Yohanes A.R. Langi Yohanes Langi Yulianti Talungke, Yulianti