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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan EKOLOGIA : Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup International Journal of Community Service International Journal of Applied Mathematics, Sciences, and Technology for National Defense International Journal of Mathematics, Statistics, and Computing
Fitria Virgantari
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Religion Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Digital Technology-Based Marketing For Neglasari Tourist Village Bogor Regency Yudha, Aditya Prima; Virgantari, Fitria; Setyo Pranowo, Agus; Maharani, Dewi; Awwaqin Putra Hasrin , Adelio; Fadhillah, Restu
International Journal Of Community Service Vol. 4 No. 4 (2024): November 2024 (Indonesia - Thailand - Malaysia)
Publisher : CV. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijcs.v4i4.822

Abstract

Tourist villages are currently becoming an alternative form of tourism by promoting the concept of interaction between nature, culture, and local wisdom. Bogor, as one of the regencies in West Java province, has various interesting tourist destinations to visit, both by local and international tourists. The location of Bogor Regency, surrounded by mountains such as Gunung Gede Pangrango, Gunung Halimun, and Gunung Salak, has various natural tourism potentials. One of the tourist villages in Bogor Regency that offers nature tourism is the Neglasari tourist village. The Neglasari tourist village is traversed by the Cisasa River. The flow of the Cisasa River is utilized by the managers of the Neglasari Tourist Village to offer water tourism packages such as body rafting and river tubing. This river tourism business has been operating since 2021. The Neglasari tourist village is not yet very popular and is not frequently visited by tourists. The average visitation rate is only 4-5 groups of visitors or 20-50 people each month. This is due to the lack of massive promotion and marketing. To increase tourist awareness, digital marketing needs to be carried out with a good concept and done sustainably by utilizing digital marketing platforms such as websites and social media. The community service team from the Faculty of Economics and Business, Pakuan University, conducted training and mentoring programs related to digital marketing for Neglasari Tourism Village. The results of this community service activity include the Neglasari Tourism Village website, social media promotion flyers, content marketing guide modules, and promotional videos for Neglasari Tourism Village.
Comparison of Weights in Weighted Least Square Method For Handling Heteroscedasticity on Multiple Regression Model Virgantari, Fitria; Widyastiti, Maya; Ir Seno, Natalia
International Journal of Mathematics, Statistics, and Computing Vol. 2 No. 2 (2024): International Journal of Mathematics, Statistics, and Computing
Publisher : Communication In Research And Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijmsc.v2i2.93

Abstract

Regression analysis is the most popular and commonly used to determine causality between two or more variables. In regression analysis there are several assumptions that must be held, so that the property of the best linear unbiased estimator (BLUE) is still guaranteed. In fact, we often found violations of the assumptions. One of them was violations of the homoscedasticity or occurs heteroscedasticity. The impact of heteroscedasticity in the regression model is that the ordinary least square (OLS) estimator no longer has a minimum variance although still linear and unbiased. To handle this, weighted least square (WLS) regression is used instead, which giving weights on the observations. But the problem often encountered is choosing which the best weight in WLS method. This paper aimed to compare and determine the best weight among 1/X, 1/ , 1/Y and 1/s in multiple regression model. Human development index factors data, which were obtained from the Indonesian Central Bureau of Statistics, were used. The results showed that the best weight on human development index data was 1/s. The coefficient of determination was 98.7% indicating that the model was very good.
PENDUGAAN PARAMETER MODEl DISTRIBUTED LAG POLA POLINOMIAL MENGGUNAKAN METODE ALMON Virgantari, Fitria; Rahayu, Wilda
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 4 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (648.468 KB) | DOI: 10.30598/barekengvol15iss4pp761-772

Abstract

The distributed lag model is a regression model that describes the relationship between the dependent variable of a given period and the independent variables of a certain or previous periods. The model can be used to determine the impact of the independent variable to dependent variables over time and forecast time series data for the next periods. There are two forms of distributed lag model that have been widely proposed in the estimation of distributed lag regression model. The first form is proposed by Koyck and the second form by Almon. This paper aims to apply the Almon model to examine the effect of the ratio of BOPO (Operating Cost and Operating Income) to the ROA (Return on Asset) of a government bank based on quarterly data, to estimate its parameters, to examine the feasibility of the model, and to predict the next quarter. Results shows that distributed lag model is = 10.110 - 0.078 + 0.015 + 0.026 – 0.045 with Yt is ROA, and Xt is the ratio BOPO on the 1st quarter until the previous 3 quarters. The model is quite good according to the determination coefficient that is 0.75, no autocorrelation in the model, t test and F test are also significant. Based on the model, the value of ROA ratio next quarter predicted 4.63%. The decrease in profitability ROA ratio is due to an increase in interest expense while interest income can not compensate
Co-Authors - Harianto Aditya Yudha Primantoro, Aditya Yudha Afriyanti Rahmawati Saputri Arief Daryanto Awwaqin Putra Hasrin , Adelio Fadhillah, Restu Febriawan, Afif Hagni Wijayanti Ir Seno, Natalia Isti Kamila Maharani, Dewi Maya Widyastiti, Maya Rahayu, Wilda Saputri, Afriyanti Rahmawati Setyaningsih, Sri Setyo Pranowo, Agus Sri Setyaningsih Sri Utami Kuntjoro Sri Utami Kuntjoro Syifa Fauziah Syifa Fauziah Taganap, Eduard