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Analisis Financial Distress Perusahaan Sektor Kesehatan Dengan Menggunakan Metode Cox-Hazard Regression Prayogo, Albert Agung; Agatha, Dhela Asafiani; Gunawan, Naftali Brigita; Ramadhani, Sausan; Wiyanti, Wiwik
Journal of Mathematics, Computations and Statistics Vol. 7 No. 1 (2024): Volume 07 Nomor 01 (April 2024)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v7i1.2295

Financial Distress merupakan kondisi kesulitan keuangan perusahaan yang menyebabkan perusahaan tidak dapat memenuhi kewajibannya untuk menjalankan bisnis. Berdasarkan beberapa penelitian sebelumnya analisis financial distress terhadap suatu sektor bisnis dapat menggunakan model Cox-Hazard Regression dengan menggunakan variabel EPS sebagai indikator terjadinya financial distress pada perusahaan dalam suatu sektor bisnis. Penelitian ini bertujuan untuk mengetahui peluang survive 19 perusahaan sektor kesehatan di Indonesia berdasarkan perusahaan yang terdaftar di Bursa Efek Indonesia dan mengetahui apakah rasio keuangan Return on Equity, Debt on Equity Ratio, dan besarnya Sales terhadap terjadinya financial distress pada perusahaan sektor kesehatan dengan menggunakan Metode Cox-Hazard Regression. Data diperoleh dari laporan keuangan perusahaan-perusahaan sektor kesehatan yang terdaftar di Bursa Efek Indonesia pada tahun 2019-2023. Berdasarkan hasil analisis survival diperoleh hasil bahwa peluang survive dari financial distress perusahaan cenderung tinggi meskipun dilanda pandemi COVID-19. Namun, peluang survive perusahaan dari financial distress mengalami penurunan yang berarti pada akhir tahun 2022 hingga tahun 2023. Variabel independen Return on Equity, Debt on Equity Ratio dan jumlah Sales secara simultan berpengaruh secara berarti terhadap terjadinya financial distress perusahaan kesehatan di Indonesia yang terdaftar di Bursa Efek Indonesia tahun 2019-2023. Secara parsial, variabel independen Return on Equity dan Debt on Equity Ratio memberikan pengaruh yang berarti terhadap terjadinya financial distress pada perusahaan kesehatan di Indonesia yang terdaftar di Bursa Efek Indonesia tahun 2019-2023 sedangkan total sales tidak memberikan pengaruh yang berarti.

Optimization of Data Administration Management through Mentoring and Training for Village Apparatus in the Statistics Love Village Program in Tanjung Pasir Village Kalfin, Kalfin; Nugroho, Diyas Arya; Ramadhani, Sausan; Pradana, Reza Septian
International Journal of Research in Community Services Vol 6, No 2 (2025)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v6i2.900

The Statistics Love Village Program helps improve the ability of village officials in efficiently managing potential village data. In Tanjung Pasir Village, limitations in administrative data processing have been an obstacle in data-based decision-making. Therefore, mentoring and training are needed to optimize data administration management. The aim of this activity is to optimize data administration management through mentoring and training for village officials in Tanjung Pasir Village through the Statistics Love Village Program. The Statistics Study Program and the Statistics Corner of Matana University collaborate with the Central Statistics Agency of Tangerang Regency in implementing this program. The results of this activity include mapping data on the number of aquaculture businesses and the total production volume of aquaculture. Based on the results of the activity, it can be concluded that the potential business sector in Tanjung Pasir Village is mainly engaged in milkfish farming, with most of the total aquaculture production being in brackish water. Based on the mapping of this potential data, it is hoped that village officials can make more targeted policies and improve community welfare.

Optimization of Data Administration Management through Mentoring and Training for Village Apparatus in the Statistics Love Village Program in Tanjung Pasir Village Kalfin, Kalfin; Nugroho, Diyas Arya; Ramadhani, Sausan; Pradana, Reza Septian
International Journal of Research in Community Services Vol. 6 No. 2 (2025)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v6i2.900

The Statistics Love Village Program helps improve the ability of village officials in efficiently managing potential village data. In Tanjung Pasir Village, limitations in administrative data processing have been an obstacle in data-based decision-making. Therefore, mentoring and training are needed to optimize data administration management. The aim of this activity is to optimize data administration management through mentoring and training for village officials in Tanjung Pasir Village through the Statistics Love Village Program. The Statistics Study Program and the Statistics Corner of Matana University collaborate with the Central Statistics Agency of Tangerang Regency in implementing this program. The results of this activity include mapping data on the number of aquaculture businesses and the total production volume of aquaculture. Based on the results of the activity, it can be concluded that the potential business sector in Tanjung Pasir Village is mainly engaged in milkfish farming, with most of the total aquaculture production being in brackish water. Based on the mapping of this potential data, it is hoped that village officials can make more targeted policies and improve community welfare.

The Implementation the Pegel’s Classification to Forecast Rice Prices Based on Quality at The Milling Level: Forecast Rice Prices Ramadhani, Sausan
International Journal of Mathematics, Statistics, and Computing Vol. 3 No. 3 (2025): 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.v3i3.207

Rice is the primary food of the Indonesian people and plays an important role in various aspects. In fact, the increase rice prices in Indonesia has occurred from 2014 until now. The burden on society continues to occur when the discourse of increasing PPN issue by 12% in 2025 is delivered by the government. Business actors, especially food and consumers, are very influenced by this policy. Against this background, this study analyzes the average prediction of rice prices at the milling level according to quality. The Pegel’s Classification is the technique employed in this research. The data used in this study from Badan Pusat Statistik (BPS). The predicted price of premium or medium rice less than IDR 14,000 with a difference of no more than IDR 700 for each quality. February 2025 is the predicted highest average price for rice for each quality, with a decrease in March. Pegel’s B-2 model is an best effective model because it has a Mean Absolute Percentage Error (MAPE) value of 2.02%.

Stunting Risk Factor Analysis Using Seemingly Unrelated Regression (SUR) Integrated with Machine Learning Wiyanti, Wiwik; Zenklinov, Amanatullah Pandu; Seleki, Jacob Stevy; Ramadhani, Sausan; Jimy, Valensius; Arifin, Samsul
Journal of Mathematics, Computations and Statistics Vol. 8 No. 2 (2025): Volume 08 Nomor 02 (Oktober 2025)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v8i2.9630

Stunting is a disorder in children caused by chronic nutritional problems. Stunting is usually characterized by a child’s failure to grow and develop optimally. In Indonesia, the government is focusing on addressing of stunting case, as it aims to develop the superior of human resources. In Tangerang regency is currently holding a “Gebrak Tegas” program to address the problem of stunting. The causes of stunting required scientific study to help the government understand the scientific factors that causing stunting. Therefore, this study aims to analyze the factors causing stunting the children in the Tangerang regency. The data analysis method in this study use the Seemingly Unrelated Regression (SUR), which is integrated with a machine learning, namely Random Forest. The data used in this study were obtained from primary data through questionnaires. The subjects of this study were parents of stunting and non-stunting children who were at “Posyandu” under of “Kelapa dua” and “Binong” health centers. Sampling method in this study is purposive-random sampling. The results of the data analysis showed that the five variables from the factors measured had the most significant influence, namely nutritional, socio-economi, and pregnancy and childbirth history factors. Five variables that influence children stunting are animal protein, which has the highest probability of 87.5% when the children consumes protein once or twice a week. The children consume vitamin A twice has a 97% probability. The source of income for the parents, whether from the private or self-employment, has a probability of over 90%. Furthermore, the consumption of iron-boosting tablets by mother during pregnancy and the amount of income from the parents have a probability of 84%.

Literasi Digital Pengolahan dan Analisis Data untuk Mendukung Program “Desa Cantik” BPS Kabupaten Tangerang Wiyanti, Wiwik; Ramadhani, Sausan; Fadhlullah, Naufal; Pradana, Reza Septian
Abdimas Galuh Vol 7, No 2 (2025): September 2025
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ag.v7i2.19994

Pengabdian kali ini adalah melaksanakan pelatihan untuk meningkatkan literasi digital pengolahan dan analisa data untuk mendukung program “Desa Cantik” dari BPS Kabupaten Tangerang. Adapun peserta pelatihan terdiri dari dua kelompok agen statistic, yaitu dari desa Surya Bahari dan Sukawali. Peserta tersebut merupakan agen statistic dari kedua desa, yang dipilih oleh BPS Kabupaten Tangerang. Pelaksanaan pelatihan berada di kantor kelurahan Surya Bahari. Adapun pelatihan dilakukan secara teori dan praktik. Keberhasilan pelatihan diukur dengan pemberian pretest dan posttest. Materi pelatihan adalah bagaimana prosedur uji banding dua kelompok untuk data besar. Data yang digunakan untuk pelatihan adalah data hasil tangkapan ikan dari kedua desa. Selanjutnya, peserta diberikan test yang berhubungan dengan materi yang telah dipelajari, yaitu berupa pretest dan posttest. Adapun hasil dari pretest dan posttest kemudian dianalisa menggunakan metode statistika inferensia, yaitu uji paired sample test. Hasil dari output analisa data diperoleh kesimpulan bahwa terdapat peningkatan pengetahuan literasi digital pengolahan dan analisa data statistik yang signifikan dari seluruh peserta pelatihan.

Edukasi Peran Statistika (Data Sains) dalam Dunia Entrepreanure di SMKN 1 Sedan, Rembang Wiyanti, Wiwik; Herawati, Lilik; Jimy, Valensius; Ramadhani, Sausan
Abdimas Galuh Vol 6, No 1 (2024): Maret 2024
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ag.v6i1.13282

Tidak semua siswa SMA/SMK/MA di Indonesia setelah lulus sekolah melanjutkan belajar jenjang universitas. Fakta ini juga ditemukan di SMKN 1 Sedan, Rembang. Berdasarkan wawancara yang dilakukan oleh Lilik Herawati selaku guru matematika SMKN 1 Sedan, mayoritas siswa setelah lulus SMK adalah bekerja, selanjutnya wiraswasta dan menikah. Karena latar belakang tersebut maka diadakan program pengabdian kepada masyarakat (PKM) dalam bentuk seminar edukasi statistika (data sains) dalam dunia entrepreanure di SMKN 1 Sedan, Rembang. Tujuan diadakan edukasi ini adalah untuk menambah wawasan para siswa-siswi SMKN 1 Sedan, Rembang mengenai peran statistika data sains untuk dunia bisnis atau wirausaha. Harapannya adalah meningkatkan wawasan atau ilmu pengetahuan megenai statistika (data sains) dalam dunia bisnis. Hasil yang diperoleh dari analisa data pretest dan postest dengan menggunakan uji paired-t adalah terdapat peningkatan yang berarti (signifikan) wawasan atau pengetahuan siswa-siswi SMKN 1 Sedan mengenai peran statistika data sains untuk dunia bisnis atau wirausaha setelah seminar edukasi dilaksanakan

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