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Hubungan antara Jenis Kelamin, Usia dan Tahun Keberangkatan Jemaah Umrah PT. OPQ Menggunakan Uji Chi Square Dzakiir, Ammaar; Nur Azizah Komara Rifai
Bandung Conference Series: Statistics Vol. 4 No. 2 (2024): Bandung Conference Series: Statistics
Publisher : UNISBA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/bcss.v4i2.14607

Abstract

Abstract. The significant increase in Umrah pilgrims in Indonesia, from 480.000 in 2011 to 974.650 in 2019, has created challenges for Umrah travel companies, including PT. OPQ, to design programs that suit various market segments. This phenomenon drives the importance of an in-depth understanding of pilgrims' characteristics, including the relationship between demographic variables. With this approach, PT. OPQ seeks to ensure that each Umrah program can match each market segment's preferences and specific needs to provide a more personalised and satisfying experience for each pilgrim. Therefore, this study aims to determine the relationship between gender, age, and year of departure of Umrah pilgrims at PT. OPQ. Using the Chi-Square Test as the method of analysis, this study examines the data to determine if there is a significant relationship between these variables. This test is suitable because gender, age, and year of departure are measured using a nominal data scale. The results showed no significant relationship between gender and age of Umrah pilgrims, nor between gender and year of departure. This result indicates that the age distribution and year of departure of Umrah pilgrims are not statistically different between men and women in PT. OPQ. This study provides important insights for Umrah travel companies in designing programs that are more inclusive and suited to the needs of various market segments, without the need to differentiate based on gender. These results can help PT. OPQ and similar companies optimise their Umrah marketing and product development strategies. Abstrak. Peningkatan jamaah umrah yang signifikan di Indonesia, dari 480.000 di tahun 2011 menjadi 974.650 di tahun 2019, telah menciptakan tantangan bagi perusahaan perjalanan umrah, termasuk PT. OPQ, untuk merancang program yang sesuai dengan berbagai segmen pasar. Fenomena ini mendorong pentingnya pemahaman mendalam tentang karakteristik jamaah, termasuk hubungan antara variabel demografis. Dengan pendekatan ini, PT. OPQ berusaha untuk memastikan bahwa setiap program umroh dapat sesuai dengan preferensi dan kebutuhan spesifik setiap segmen pasar untuk memberikan pengalaman yang lebih personal dan memuaskan bagi setiap jamaah. Oleh karena itu, penelitian ini bertujuan untuk mengetahui hubungan antara jenis kelamin, usia, dan tahun keberangkatan jamaah umrah di PT. OPQ. Dengan menggunakan Uji Chi-Square sebagai metode analisis, penelitian ini menguji data untuk menentukan apakah ada hubungan yang signifikan antara variabel-variabel tersebut. Uji ini cocok digunakan karena jenis kelamin, usia, dan tahun keberangkatan diukur dengan menggunakan skala data nominal. Hasil penelitian menunjukkan tidak ada hubungan yang signifikan antara jenis kelamin dan usia jemaah umrah, maupun antara jenis kelamin dan tahun keberangkatan. Hasil ini mengindikasikan bahwa distribusi usia dan tahun keberangkatan jemaah umrah tidak berbeda secara statistik antara laki-laki dan perempuan di PT. OPQ. Studi ini memberikan wawasan penting bagi perusahaan perjalanan umrah dalam merancang program yang lebih inklusif dan sesuai dengan kebutuhan berbagai segmen pasar, tanpa perlu membedakan berdasarkan jenis kelamin. Hasil ini dapat membantu PT. OPQ dan perusahaan sejenis untuk mengoptimalkan strategi pemasaran dan pengembangan produk umrah mereka.
Modeling the Poverty Rate of East Java Using Quartile Smoothing Splines Regression Dzakiir, Ammaar; Herlina, Marizsa
Indonesian Journal of Economics and Management Vol. 4 No. 3 (2024): Indonesian Journal of Economics and Management (July 2024)
Publisher : Jurusan Akuntansi Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35313/ijem.v4i3.6273

Abstract

Many research have shown that the Economically Active Participation Rate (EAPR) is influencing the poverty rate significantly in Indonesia. However, the complex relationship between EAPR and Poverty makes it impossible to use a simple regression analysis, because it has a non-parametric relationship. So, this study uses Quantile Smoothing Splines Regression to estimate curves at various quantiles. The purpose of this study is to estimate the model of the poverty rate based on EAPR East Java in 2023. The results show that at quantiles 0.25 with and 0.5 with , an increase in EAPR will increase poverty rate. However, at high EAPR, the effect is negative and very small. For quantiles 0.75 and 0.95 with , the effect of EAPR varies, showing positive and negative relationships that depend on the value of EAPR, with different and values at each range of EAPR values.