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Rita Rifati
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Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Published by Badan Pusat Statistik Provinsi Jambi
ISSN : 26558084     EISSN : 28285212     DOI : https://doi.org/10.64679/median.v8i01
Core Subject :
Median aims to serve as an academic platform that plays a vital role in disseminating innovative research, enriching scientific literature, and making a meaningful contribution to the advancement of science and technology. Focus and Scope Media Edukasi Data Ilmiah dan Analisis (MEDIAN) is a multidisciplinary, open-access scientific journal dedicated to the rapid publication of high-quality, peer-reviewed research articles in the fields of Mathematics, Statistics, and Informatics. Published by Statistics of Jambi Province, Indonesia, Median is committed to fostering the global exchange of scientific knowledge and ideas. The journal is published twice a year, in June and December, and welcomes submissions from researchers, academics, and practitioners worldwide. Median focuses on a wide range of scientific disciplines, including (but not limited to): Mathematics: Algebra, analysis, geometry, topology, and applied mathematics. Statistics: Mathematical statistics, biostatistics, statistical theory, and statistical methods. Economics: Macroeconomics, microeconomics, development economics, regional economics, and applied economics. Social Sciences: Sociology, demography, public policy, education, and other applied social sciences. Informatics: Computer science, artificial intelligence, data science, machine learning, and big data
Arjuna Subject : -
Articles 90 Documents
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Pengelompokkan Kabupaten/Kota Di Provinsi Jambi Berdasarkan Luas Lahan Dan Jumlah Produksi Padi Dengan Single Linkage Kamila; Suci Anggraini; Fadhlul Mubarak
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 7 No 02 (2024): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v7i02.99

Abstract

In an effort to improve agricultural efficiency and productivity, it is necessary to understand the distribution and production of agricultural resources in each district and city in Jambi Province. Each district/city in Jambi Province has its own characteristics that affect the level of rice production, including the area of agricultural land, soil conditions, climate, access to technology and quality, and a large number of human resources. Therefore, it is necessary to conduct an analysis to group districts/cities in Jambi Province that have the same characteristics. This grouping is done using the Single Linkage cluster analysis method. This analysis produces 3 clusters, namely the first cluster has a rice production percentage of 2.778 and a land area percentage of 2.707, which means that the first cluster with Kerinci Regency members is the region with the highest rice production and land area percentage, the second cluster has a rice production percentage of -0.185 and a land area percentage of -0.151, which means that the second cluster with members of Merangin Regency, Sarolangun Regency, Batang Hari Regency, Muaro Jambi Regency, East Tanjung Jabung Regency, West Tanjung Jabung Regency, Tebo Regency, Bungo Regency and Sungai Penuh City is a region with the percentage of rice production and land area and the third cluster has a rice production percentage of -1.114 and a land area percentage of -1.343, which means that the third cluster with Jambi City members is a region with the lowest rice production and land area percentage.
Analisis Indeks Jaminan Sosial dan Sebaran Kemiskinan di Indonesia Tahun 2023 Novalianisa Permata Sari; Egi Renaldi
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 7 No 02 (2024): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v7i02.100

Abstract

Poverty is still a major problem in the development of a country, one of which is Indonesia. The government implements various programs to eradicate poverty, one of which is through social protection. This research aims to determine the characteristics of poverty with the social insurance index and the influence of education, TPT, GRDP, HDI, population density, and social insurance on poverty in Indonesia in 2023. The social insurance index has been previously formed using factor analysis with the principal component analysis method . The characteristics of poverty with the social insuranceindex are described using distribution maps and quadrant analysis. There are similarities in the poverty distribution pattern with the social insuranceindex. Meanwhile, in the quadrant analysis, an inverse relationship was found between the poverty level and the social insurance index. Then, to find out the effect of education, TPT, GRDP, HDI, population density and social insurance on poverty in Indonesia in 2023, it was analyzed using multiple linear regression analysis with the ordinary least squares method. The research results show that there is a significant influence simultaneously for all independent variables, but partially only education, GRDP, HDI and social insurance significantly influence poverty in Indonesia in 2023. Only the education variable has a positive influence on poverty, while GRDP, HDI, and social insurance have an influence negative on poverty.
Analisis Rantai Markov untuk Mengetahui Peluang Perpindahan Merek Kartu Seluler Pra Bayar GSM yang dipilih Mahasiswa Matematika Anugrah Putri Nabila
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 7 No 02 (2024): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v7i02.101

Abstract

This research was conducted to find out what opportunities exist for consumers of GSM cellular card brands to switch to other cellular card brands. In addition, this research allows us to predict how the number of GSM prepaid mobile card users will develop in the future. The data used in this research is primary data collected by distributing questionnaires to mathematics course students at Jambi University. A total of 32 people responded to the survey. Based on the results of Markov chain analysis, it is known that Telkomsel brand GSM card users constitute the majority of mathematics course students. However, looking at developments, the opportunity for growth for the tri-card brand is getting bigger. On the other hand, the Telkomsel brand has almost the same opportunities for increase and decrease, so the opportunities for increases and decreases in the Telkomsel brand are unstable. For the Axis, XL, By.U, and IM3 brands, the probability of switching continues to decrease, but for the Axis card brand, the survey found that the number of users and the number of users are almost the same. Therefore, XL, By.U and IM3 cards are still unable to compete in the market for Mathematics undergraduate students at Jambi University.
Analisis Hubungan Kualitas Tidur Dan Pola Makan Dengan Kejadian Anemia Pada Mahasiswa Matematika Universitas Jambi Menggunakan Uji Chi-Square: Kualitas Tidur Dan Pola Makan Dengan Kejadian Anemia Pada Mahasiswa Matematika Universitas Jambi Menggunakan Uji Chi-Square Nabilah Putri
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 7 No 02 (2024): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v7i02.103

Abstract

This analysis aims to determine the relationship between sleep quality and eating habits and anemia in first year mathematics students at Jambi University. The method used in this research was the chi-square test to determine the significance of the relationship between sleep quality and eating habits. variable two. Data is collected through a questionnaire that covers aspects such as eating habits, sleep patterns and anemia status. Analysis of the findings shows that there is a significant correlation between poor sleep quality and an increase in cases of anemia. Apart from that, bad eating habits also have a strong correlation with the incidence of anemia experienced by respondents. This study shows that improving sleep quality and eating habits is critical in helping malnourished students overcome anemia. It is hoped that everything in this article will contribute to the development of more effective health programs in the campus environment.
ANALISIS MULTILEVEL PEKERJA ANAK DI INDONESIA TAHUN 2022 Rianti Isnania
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 8 No 01 (2025): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v8i01.109

Abstract

SDGs goal 8 target 7 states that child labor must be eliminated by 2025. However, according to KemenPPPA the number of child labor in Indonesia still reach 1.74 percent in 2022. The existence of child labor causes various disadvantages, it is necessary to consider efforts to eliminate child labor. Therefore, research was carried out to present an overview and identify variables that influence Indonesia’s child labor in 2022. From the August 2022 Sakernas, it was found that 1,60 percent of children aged 5-17 years were classified as child laborers. Using multilevel binary logistic regression, the results showed that the variables child’s schooling status, head of household job, head of household gender,head of household education, marital status of head of household, and mean year’s school had a significant effect on child labor.
Pendekatan Spasial dalam Menganalisis Tingkat Kemiskinan di Indonesia Tahun 2024 Patimah Zahra; Maissy Arshella
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 8 No 01 (2025): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v8i01.110

Abstract

Poverty in Indonesia remains a significant social and economic challenge despite a decline in recent decades. This decline in poverty still does not fulfil the target set by the government in the 2020-2024 RPJMN. Therefore, the government needs to update existing policies in an effort to reduce poverty. In determining policies, it is necessry to consider the regional or spatial aspects because it is very likely that poverty in a region is influenced by poverty in the surrounding areas. This study aims to analyse the factors that influence poverty in Indonesia by considering spatial aspects. The analysis method used is spatial regression analysis using the Spatial Auto-Regressive (SAR) Model. The results of this study show that there is a spatial effect on the poverty rate in Indonesia as indicated by the Global Moran's I value of 0.6883. The percentage of the population that has ever suffered from illness has a positive and significant relationship with the poverty rate. Meanwhile, the percentage of the population 5 years and older who have ever used the internet has a negative and significant relationship with the poverty rate. Based on the results of the study, government intervention is needed to overcome the problem of poverty in Indonesia.
Analisis Penggunaan Telemedisin di Provinsi Jambi: Kajian Data Susenas Modul Kesehatan dan Perumahan Tahun 2022 Linda Annisa; Ni Kadek Suardani
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 8 No 01 (2025): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v8i01.111

Abstract

Telemedicine services could help to address the issues of distance, lack of facilities, and shortage of health workers. Although there are regulations regarding telemedicine, its use is still relatively low in Indonesia. Evaluation regarding this issue is carried out through data collection of telemedicine use in the Health and Housing Module of National Socioeconomic Survey 2022 (Susenas MKP 2022) which then analyzed at the provincial level. This study was carried out to determine the significance of the influence of several variables on the decision to use telemedicine, particularly among population aged 18-59 years in Jambi Province. The results indicated that the higher the level of education and expenditure, the higher the odds of telemedicine use. This was statistically confirmed, by a binary logistic regression analysis, where population with higher level of education and higher expenditure had a significantly greater odds of telemedicine use. Another finding that may be useful for further research is rural population odds to telemedicine use is actually greater than that of urban population.
Dampak Konversi Lahan Sawah terhadap Produksi Padi di Daerah Istimewa Yogyakarta Kusriatmi
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 8 No 01 (2025): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v8i01.112

Abstract

Wetland is a main factor in the production process of paddy plant. Wetland conversion to non-agricultural use would threaten the food security because of lower rice production capacity. The impact of wetland conversion on food production is cumulative. This paper aims to examine the development of wetland conversion and its impact on rice production in D.I. Yogyakarta Province. This study used time series data for the period 1993 – 2017. The results showed that during the period 1993 to 2017, wetland conversion in D.I. Yogyakarta Province reached 9.02 thousand hectares. Irrigated wetland conversion was greater than the total wetland conversion, while the area of non-irrigated wetland increased. Sleman Regency experienced the highest wetland conversion which reached 6.21 thousand hectares. Rice production loss due to wetland conversion reached 1,026.88 thousand tons of milled rice equivalent to 626.34 thousand tons of rice
Determinan Demografis Perilaku Merokok pada Penduduk Usia 15 Tahun ke Atas di Kabupaten Tanjung Jabung Timur (Analisis Data Susenas Maret 2024) Indrianto; Rizki Ananda Fauziah; Rita
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 8 No 01 (2025): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v8i01.113

Abstract

Smoking behavior is still a major health issue in Indonesia, including in Tanjung Jabung Timur Regency. This study aims to identify demographic factors associated with smoking behavior in residents aged 15 years and over in the district. The data used came from the March 2024 Susenas with a quasi-binomial logistic regression analysis approach. The results of the analysis show that gender, place of residence, education level, and age group have a significant effect on the likelihood of someone becoming a smoker. Men, rural residents, individuals with education below high school, and adult age groups have a higher tendency to smoke. Meanwhile, marital status and school status did not show a significant effect. The regression model showed good results with an overdispersion value of 0.82, indicating a good fit of the model to the data. These findings emphasize the importance of a data-driven approach in designing policy interventions, especially for high-risk groups such as low-educated adult men living in rural areas. This study is expected to be a basis for more targeted tobacco control efforts at the regional level.
Prediksi Pendapatan Harian di Budiman Swalayan Bukittinggi Menggunakan Proses Poisson Majemuk Syalaisa Ramanda Putri
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 8 No 02 (2025): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v8i02.114

Abstract

Budiman swalayan is one of the main shopping centers in Bukittinggi that requires a statistical approach to predict fluctuating customer visit patterns. The high variation in visits and transactions hampers stock and service planning. To overcome this, this study applies a compound Poisson process. Data were collected for 3 months and analyzed using statistical tests, namely Kolmogorov-Smirnov and Chi-Square. The Kolmogorov-Smirnov test was used to test the distribution of transaction values, while the Chi-Square test was used to test the suitability of the distribution of the number of customers. The results show that customer arrivals follow a Poisson distribution with an average of 9.89, and transactions are exponentially distributed with an average of Rp68,133,342.89. Total daily sales per group follow a compound Poisson process with an expectation of Rp673,763,057.5. These findings are useful in optimizing retail management more precisely.

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