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All Journal Media Statistika Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal Sains Matematika dan Statistika BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) Zeta - Math Journal QARDHUL HASAN: MEDIA PENGABDIAN KEPADA MASYARAKAT Variance : Journal of Statistics and Its Applications Jurnal Varian Babul Ilmi Jurnal Ilmiah Multi Science Kesehatan International Journal of Engineering, Science and Information Technology Indonesian Journal of Education Methods Development Dirgamaya: Jurnal Manajemen dan Sistem Informasi Jurnal Ilmu Pendidikan Sekolah Dasar Kajian Moral dan Kewarganegaraan Journal of Scientific Research, Education, and Technology Indonesian Research Journal on Education Madani: Multidisciplinary Scientific Journal Karimah Tauhid Jurnal Pendidikan Matematika Indonesian Culture and Religion Issues Prosiding Dedikasi: Pengabdian Mahasiswa Kepada Masyarakat Jurnal Pengabdian Kader Bangsa JIPSD Progressus Humanitatis JIMEKA International Journal of Computing Science and Applied Mathematics-IJCSAM
Dita Amelia, Dita
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Natural Disaster Mapping on Java Island Using Biplot Analysis Widyangga, Pressylia Aluisina Putri; Mardianto, M. Fariz Fadillah; Pratiwi, Firda Aulia; Putrie, Andi Vania Ghalliyah; Andriani, Putu Eka; Amelia, Dita; Dewi, Deshinta Arrova
Jurnal Varian Vol. 7 No. 2 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v7i2.2634

Abstract

Indonesia is located in the ring of fire region. This condition causes Indonesia to have the potential to experience various disasters, such as volcano eruptions. In addition, rapid population growth has led to rampant land conversions that cause floods, landslides, tornadoes, droughts, and forest fires. The research aims to map natural disasters in Indonesia, especially Java Island to find out the provinces and their natural disasters tendency using Biplot analysis. Based on the results, Central Java, East Java, and West Java have a tendency to have floods and landslides. East Java tends to undergo earthquakes and Central Java has the potential to experience volcano eruptions. Through the natural disasters mapping, the government, especially the BMKG, will be able to find various solutions to overcome the natural disasters that have great potential to occur in provinces in Indonesia, especially Java Island as the manifestation toward SDGs Target 2030.
Classification Classification of Criminal Events Based on Biplot Analysis Fauzi, Doni Muhammad; Dewanty, Sanda Insania; Putri, Farah Fauziah; Inneztiana, Alya Rahma; Mardianto, M. Fariz Fadillah; Amelia, Dita; Ana, Elly
Jurnal Varian Vol. 7 No. 2 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v7i2.3795

Abstract

Kriminalitas merupakan suatu perilaku yang melanggar hukum dan aturan dalam masyarakat. Penelitian ini dilakukan untuk menganalisis data biplot jumlah kejahatan di berbagai provinsi di Indonesia. Biplot merupakan analisis yang berguna untuk menafsirkan hubungan antara variabel dan objek dalam bentuk grafik tunggal. Sumber data dalam penelitian ini adalah data sekunder yang berasal dari website Badan Pusat Statistik yang berjudul “Statistik Kriminal 2022”. 34 kepolisian daerah yang mewakili setiap provinsi di Indonesia menjadi objek pengamatan dan 9 klasifikasi kejahatan menjadi variabel. Metode penelitian ini menggunakan analisis biplot dengan bantuan fiton. Dari nilai Dekomposisi Nilai Singular, keragaman data yang dapat dijelaskan sebesar 73,714%. Pada grafik analisis biplot hubungan antar observasi diperoleh bahwa observasi atau objek polda dari setiap provinsi tersebar terpusat pada satu kuadran. Hubungan antar variabel yang paling tinggi adalah korelasi antara variabel kejahatan narkotika dengan kejahatan yang berkaitan dengan penggelapan, penipuan, dan korupsi, sedangkan hubungan yang paling rendah adalah korelasi antara kejahatan narkotika dengan kejahatan terhadap ketertiban umum. Dalam hubungan observasi dengan variabel diperoleh 4 kelompok. Keberagaman variabel yang paling tinggi terletak pada kejahatan terhadap kebebasan masyarakat, sedangkan keberagaman variabel yang paling rendah terletak pada kejahatan terhadap kesusilaan.
PENGARUH INTERNET FINANCIAL REPORTING, KETEPATAN WAKTU PENYAMPAIAN INFORMASI KEUANGAN WEBSITE, UKURAN PERUSAHAAN, DAN PROFITABILITAS TERHADAP ABNORMAL RETURN (Studi Empiri spada Perusahaan Pertambangan yang Terdaftar di Bursa Efek Indonesia Periode 2012-2014) Amelia, Dita; Linda, Linda
Jurnal Ilmiah Mahasiswa Ekonomi Akuntansi Vol 1, No 2 (2016): November 2016
Publisher : Accounting Departement Economics and Business Faculty Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The research examines the effect ofinternet financial reporting, timeliness submission of financial information website, firm size, and profitability on abnormal return of mining company listed in Indonesia Stock Exchange in 2012-2014.Secondary data were sourced from the financial statements, published by the capital market reference center at the Indonesia Stock Exchange and list of daily stock price in Yahoo Finance. The research type used in this research is hypothesis testing, by using simple random sampling method. There are 90 samples of the data that become the object to be researched. This research uses multiple linear regression analysis to test the hypothesis.The results of this research show that simultaneous of internet financial reporting, timeliness submission of financial information website, firm size, and profitability have effect on abnormal return. Partially the research shows that (1) internet financial reporting have positive effect on abnormal return, (2) timeliness submission of financial information website have positive effect on abnormal return, (3) firm size have positive effect on abnormal return, and (4) profitability have no effect on abnormal return.Keywords: Internet Financial Reporting, Timeliness Submission Of Financial Information Website, Firm Size, Profitability, Abnormal Return.
Analyzing Gender Equality Indicators Using Principal Component Analysis in Central Papua and Papua Highland Shafira Renianti, Fayza; Suliyanto; Amelia, Dita; Mardianto, M. Fariz Fadillah; Ana, Elly
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 4 No. 4 (2025): Vol. 4 No. 4 2025
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v4i4.972

Abstract

The Gender equality is one of the key targets in Sustainable Development Goal (SDG) 5 and remains a major challenge in Central Papua and Papua Highland, where gender development indicators are among the lowest in Indonesia. This study aims to identify the dominant factors influencing gender equality in these two provinces using Principal Component Analysis (PCA) on seven indicators representing education, health, economic conditions, and political representation of women. The analysis results show that two main factors are formed with a total variance explained of 77.248%. The first factor reflects women’s economic participation and basic living conditions, while the second factor represents resource capacity and socio-political representation. These findings suggest that limited access to education, health services, and participation in the labor market and political institutions are the primary contributors to gender inequality in this region. Therefore, empowerment-oriented policies and improved service accessibility are required to achieve more equitable gender development in Papua.
MODELING AND SEGMENTATION OF FACTORS AFFECTING HUMAN DEVELOPMENT IN ISLANDS OF JAVA USING FIMIX PLS METHOD WITH MEDIATION EFFECT Az Zuhro, Muhammad Rosyid Ridho; Kurniawan, Ardi; Amelia, Dita; Syahzaqi, Idrus
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 20 No 1 (2026): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol20iss1pp0397-0412

Abstract

Human development is a key indicator used to assess the quality of a country's human resources. Although Indonesia's HDI has experienced a significant increase of 75.02 in 2024, inequality is still a pressing issue, especially in terms of gender representation in the workforce. This study aims to identify the influence of poverty, economic, health, employment and education factors on human development in Java Island by considering gender equality as a mediating variable. The data used in the study is limited to 119 districts/cities in Java Island and sourced from BPS publications, the Health Office and the Education Office. The novelty of this study lies in the use of the Finite Mixture Partial Least Square (FIMIX-PLS) approach with mediation effects which is rarely applied in human development research in Indonesia, as well as allowing the identification of latent population heterogeneity and region-based segmentation. The results of this method reveal two distinct district/city segments in Java, with Segment 1 dominated by the variables in this study that have significant direct and indirect effects through the mediation of gender equality on human development, while Segment 2 has characteristics that emphasize the effect of gender equality. Given these differences in characteristics, it is important that contextual and regional segmentation-based development policies are designed by local and central governments. Statistical segmentation approaches such as FIMIX-PLS make a significant contribution to more targeted policy making. By changing the type of intervention according to specific problems, the government can allocate resources more effectively. This supports the achievement of SDG-10 in reducing inequality.
Penyuluhan Resiko Hipertensi Sebagai Upaya Untuk Peningkatan Kesadaran Masyarakat Terhadap Pola Hidup Sehat Nusari, Nyoman Hepi; Amelia, Dita; Nopitasari, Teni; Aditya, Muhammad; Ramadani, Suci; Meylani, Putri; Wulandari, Rika; Ulia, Ulia; Wanda, Neri Mei; Gilang A, Muhammad Risky
JURNAL PENGABDIAN KADER BANGSA Vol 2 No 1 (2026): Jurnal Pengabdian Kader Bangsa
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Kader Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54816/jpkb.v2i1.898

Abstract

Hypertension is a non-communicable disease and can affect anyone, this disease is called a silent killer because this disease rarely causes symptoms, in 2025 it is estimated that this disease can reach 1.56 billion where Hypertension in Indonesia in 2018 has reached 34.1%. This counseling activity aims to educate the public so that they can better understand the risks, causes, treatment and prevention of hypertension so that the public can better understand and be aware of this disease, this activity was carried out at the Polindes Purun Village, Penukal District, PALI Regency. This activity was attended by around 35 participants with blood pressure checks at the beginning of the event and a short pretest and posttest were carried out to measure the level of participants' understanding of hypertension. From the data obtained, 88.6% of participants had blood pressure above 120/80 mmHg, with pretest results of 40% of participants having poor knowledge about hypertension, and after counseling, participants who had poor knowledge decreased to 11.4%, this shows an increase in participants' ability regarding hypertension. This activity is expected to be an educational chain so that it is hoped that it can reduce the number of cases of hypertension.
PENGARUH RENDAM KAKI JAHE MERAH HANGAT TERHADAP TEKANAN DARAH PENDERITA HIPERTENSI Amelia, Dita; Parmin, Selamat; Rosadi, Erik; Harisandy, Alvian; S, Serli Wulan
Babul Ilmi Jurnal Ilmiah Multi Science Kesehatan Vol 17, No 2 (2025): Babul Ilmi Jurnal Ilmiah Multi Science Kesehatan
Publisher : Universitas 'Aisyiyah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36729/bi.v17i2.1514

Abstract

Latar Belakang: Hipertensi merupakan kondisi meningkatnya tekanan darah dengan kriteria tekanan sistolik ≥140 mmHg atau diastolik ≥ 90 mmHg. Kondisi ini sering tidak menimbulkan gejala, tetapi berisiko menyebabkan komplikasi serius, termasuk kematian mendadak. Salah satu terapi nonfarmakologis yang dapat digunakan adalah rendam kaki air jahe merah hangat. Jahe merah mengandung minyak atsiri yang memberikan efek hangat, melebarkan pembuluh darah, serta membantu menurunkan tekanan darah pada penderita hipertensi. Tujuan: Mengetahui pengaruh terapi rendam kaki jahe merah hangat terhadap tekanan darah penderita hipertensi di Puskesmas Plaju Palembang Tahun 2025. Metode: Penelitian ini menggunakan desain quasi-eksperimen dengan metode two group pre-post test design with control group. Pengumpulan data menggunakan lembar observasi dan wawancara. Teknik pengambilan sample menggunakan purposive sampling. Sebanyak 34 responden dengan 17 kelompok intervensi dan 17 kelompok kontrol. Penelitian dilakukan di Puskesmas Plaju pada bulan Juni-Juli 2025. Hasil: Ditemukan adanya penurunan signifikan tekanan darah setelah terapi rendam kaki dengan jahe merah hangat. Intervensi dilakukan dengan cara merendam kaki selama 15 menit, tiga kali seminggu. Saran: Menjadi bahan referensi dalam pelaksanaan terutama Tridarma perguruan tinggi atau pelayanan kepada masyarakat dalam melaksanaan penelitian dan pengabdian kepada masyarakat sebagai tindak lanjut dari pengaruh rendam kaki dengan jahe merah hangat terhadap tekanan darah pada penderita hipertensi di puskesmas. Kata Kunci: Hipertensi, Jahe Merah, Rendam Kaki
Pemodelan Faktor yang Mempengaruhi Indeks Demokrasi Indonesia Menggunakan Spline Truncated Hanny Valida; M. Fariz Fadillah Mardianto; Amelia, Dita; Suliyanto, Suliyanto
Jurnal Pendidikan Matematika Vol. 3 No. 2 (2026): February
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ppm.v3i2.2478

Abstract

Penelitian ini bertujuan menganalisis faktor-faktor yang memengaruhi Indeks Demokrasi Indonesia (IDI) menggunakan pendekatan regresi spline linier terpotong nonparametrik. Data yang digunakan merupakan data sekunder cross-section dari 34 provinsi di Indonesia pada tahun 2024, dengan variabel prediktor berupa Indeks Pemberdayaan Gender, Indeks Kebebasan Pers, dan Indeks Pembangunan Manusia. Pemilihan model dilakukan menggunakan kriteria Generalized Cross Validation (GCV) untuk menentukan jumlah dan posisi knot yang optimal. Hasil analisis menunjukkan bahwa model terbaik diperoleh dengan tiga titik knot, menghasilkan nilai GCV sebesar 6,79 dan koefisien determinasi (R²) sebesar 89,37 persen. Hasil penelitian menunjukkan adanya hubungan nonlinier antara variabel prediktor dan IDI. Indeks Pemberdayaan Gender memberikan pengaruh positif pada tingkat rendah hingga menengah, namun berubah menjadi negatif pada tingkat yang lebih tinggi. Indeks Kebebasan Pers menunjukkan pengaruh positif pada tingkat rendah tetapi cenderung negatif setelah melewati titik tertentu. Sementara itu, Indeks Pembangunan Manusia memberikan pengaruh positif yang konsisten terhadap IDI. Temuan ini menunjukkan bahwa kualitas demokrasi di Indonesia dipengaruhi oleh dinamika sosial dan institusional yang kompleks.
Analyzing the Influence of Gross Domestic Product on the Human Development Index Worldwide in 2021 Using a Nonparametric Regression Approach Based on Penalized Spline Estimator Amelia, Dita; Zhafira, Azizah Atsariyyah; Ginzel, Bryan Given Christiano; Putra, Fery Yulian; Wibawa, Yoga Setya
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 11 No. 2 (2025)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24775401.ijcsam.v11i2.8851

Abstract

People’s welfare is a universal goal that is the main focus of all countries in the world. One of the indicators used to measure welfare is the Human Development Index (HDI), which includes education, health and per capita income. On the other hand, Gross Domestic Product (GDP) is the main measure of a region’s economic growth. This research aims to highlight how regional economic dynamics affect human welfare in the world in 2021 and the data source was obtained from OurWorldInData. This research uses nonparametric regression with a penalized spline estimator approach. Penalized Spline analysis shows that the best model for predicting HDI based on GDP per capita is to use 2 knot points, namely k1=8000 and k2=50000. This model produces a Mean Squared Error (MSE) value of 0.0018 and Generalized Cross Validation (GCV) of 0.0019. In addition, this model has the ability to explain response variability of R2=91.58%. The grouping of countries by GDP per capita reveals that economic improvement impacts human development differently across income levels. By tailoring strategies to specific income groups, policymakers can more effectively enhance human development outcomes, fostering a more equitable and prosperous society
Comparison Of Vector Autoregressive and Multiresponse Fourier Series for Cryptocurrency Prediction Post-Bitcoin Halving 2024 Amelia, Dita; Rahayu, Rizky Dwi Kurnia; Syahputra, Bimo Okta
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 11, No 1 (2026): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v11i1.37720

Abstract

This study examines cryptocurrency price modeling after the 2024 Bitcoin halving by comparing two multivariate forecasting methods: the Vector Autoregressive (VAR) model and the cosine-based Multiresponse Fourier Series Estimator. The research aligns with SDGs 8 on Decent Work and Economic Growth, as accurate forecasting in digital asset markets can support financial stability and informed investment decisions. The novelty of this study lies in applying a Fourier-based multiresponse model for post-halving cryptocurrency prediction, an approach that remains limited in existing literature. The dataset consists of daily prices of Bitcoin, Ethereum, and Litecoin from April 2024 to August 2025 (t=480), obtained from investing.com, with 90% for data training and 10% for data testing. Prior to modeling, the Bartlett test produced p-value 0.000α, indicating significant correlations among cryptocurrencies, thereby validating the use of simultaneous multivariate analysis. The results show that the Fourier Series Estimator with five oscillation parameters (k=5) provides superior predictive accuracy, achieving a MAPE of 3.768%, compared to the VAR model’s MAPE of 8.503%. These findings demonstrate that the Fourier estimator more effectively captures cyclical and nonlinear patterns in digital assets and offers valuable contributions to financial statistics, providing practical insights for investors and policymakers in the highly volatile cryptocurrency market.
Co-Authors Abidin, Qumadha Zaenal Aisyah, Arlisya Shafwan Aldawiyah, Najwa Khoir Aliffia, Netha Alisiah, Rindiani Ahmada Alvian Harisandy Amalia, Nadinta Kasih Andriani, Putu Eka Anggriawan, Muhammad Rizal Anida, Nuzulia Annissa Mawardini Apit Priatna Ardi Kurniawan Arif Maulana Yusuf Arrofah, Aini Divayanti Asfar Muniir, Asfar Astuti, Aprillia Awaludin, Dudi Az Zuhro, Muhammad Rosyid Ridho Azzahra, Shakilla Dahlan Abdullah Darmawan, Kezia Eunike Dewanty, Sanda Insania Dewi, Berlianti Alisa Dewi, Deshinta Arrova Dimas Pratomo Dwitya, Shabrina Nareswari Efriyanti, Liza Elly Ana Erik Rosadi Evelyn, Jennifer Faizah, Atikah Fatyra, Adisa Fauzi, Doni Muhammad Fauziah, Nathania Febriani, Regina Firmanda, Ahmad Wahyu Fitria Eka Wulandari Fitriyani, Mubadi’ul Gilang A, Muhammad Risky Ginzel, Bryan Given Christiano Hamid, Fatih Farhan Handayani, Nida Nabilah Hanny Valida Hari Antoni Musril Harsanti, Dwika Maya Idrus Syahzaqi Indrasta, Irma Ayu Inneztiana, Alya Rahma Ismunandar Kalista, Yovita Karin Kamil, M. Aqil Zaidan Khairunnisa, Nur Shabrina Kurnia, Rizky Dwi Kusjono, Gatot Larasati, Berliani Linda Linda M. Fariz Fadillah Mardianto Marisa Rifada Maulidya, Utsna Rosalin Mediani, Andini Putri Meylani, Putri Muhammad Aditya, Muhammad Mulyanti, Eneng Mustika Kartika Sari Nafaisah, Lulu Nitasari, Alfi Nur Nopitasari, Teni Nugraha, Galuh Cahya Nur Chamidah Nusari, Nyoman Hepi Parmin, Selamat Prasetyo, Juan Krisfigo Pratiwi, Firda Aulia Pratiwi, Rosidun Nindyo Putra, Fery Yulian Putra, Mochamad Rasyid Aditya Putri, Arina Putri, Farah Fauziah Putri, Riski Dwi Putrie, Andi Vania Ghalliyah Rahayu, Rizky Dwi Kurnia Rahma, Alma Khalisa Rahmah , Ade Ramadani, Suci Ramadhanty, Devira Thania Raya, Kezya Bato Rika Wulandari Rusi Rusmiati Aliyyah S, Serli Wulan Salsabila, Fatiha Nadia salsabila, safira Sa’idah, Andini Sediono, Sediono Septia Sari, Ni Wayan Widya Septiana, Deni Septiandini, Niswah Septorini, Yasmine Regita Sesrita, Afridha Setiawan, M. Syah Denny Setyaningrum, Jeny Praesti Shabira , Syahla Malika Shabira, Syahla Malika Shafira Renianti, Fayza Soewignjo, Steven Sri Utami, Irma Inesia Suliyanto Suliyanto Suliyanto Supriadi Supriadi Suyono, Billy Christandy Syahfitri, Nabila Syahputra, Bimo Okta Tantry Widiyanarti, Tantry Taufiqur Rahman Teguh Prasetyo Toha Saifudin Ulia, Ulia Uljanah, Lulu Urbach, Verina Wanda, Neri Mei Wibawa, Yoga Setya Widiyanti, Julia Widyangga, Pressylia Aluisina Putri Wijayawati, Evi Yuliani, Salma Zah, Alfian Iqbal Zahratul Fitri, Zahratul Zhafira, Azizah Atsariyyah Zuleika, Talitha