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Findasari
Universitas Muhammadiyah Kudus
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MODEL REGERESI STRATIFIKASI DALAM ANALISIS FAKTOR PENGARUH PEMBERIAN ASI EKSKLUSIF Findasari Findasari; M. Adib Jauhari Dwi Putra; Ivanna Isty Nursani
JURNAL ILMU KOMPUTER DAN MATEMATIKA Vol 5, No 1 (2024): JURNAL ILMU KOMPUTER DAN MATEMATIKA
Publisher : Universitas Muhammadiyah Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26751/jikoma.v5i1.2232

Abstract

ASI (Air Susu Ibu) merupakan nutrisi bagi bayi baru lahir yang sangat disarankan untuk diberikan kepada bayi setelah proses melahirkan selama kurun waktu 6 bulan secara eksklusif, karena ASI pertama mengandung kolostrum yang bagus untuk daya imun bayi. Beberapa faktor yang berkaitan dalam praktik pemberian ASI eksklusif yakni status pekerjaan, tingkat pendidikan, pengetahuan ibu, dan peran penolong persalinan diprediksi berpengaruh dalam pemberian ASI eksklusif. Penelitian ini memiliki tujuan mengetahui faktor-faktor yang mempengaruhi pemberian ASI eksklusif dengan menggunakan metode regresi stratifikasi yaitu membedakan antara ibu yang bekerja dan ibu yang tidak bekerja. Teknik analisis data yang digunakan dalam penelitian ini dengan metode regresi logistik stratifikasi. Hasil penelitian menyatakan bahwa pemberian ASI eksklusif di strata ibu tidak bekerja dipengaruhi oleh tingkat pengetahuan ibu. Pada strata ibu yang bekerja, pemberian ASI eksklusif tidak ditemukan model terbaik. Dilihat dari kedua strata (ibu tidak bekerja dan ibu bekerja), diperoleh kesimpulan bahwa tingkat pendidikan ibu mempengaruhi pemberian ASI eksklusif.
ANALSIS DINAMIK MODEL PREDATOR-PREY DENGAN PEMANENAN LINEAR PADA KEDUA POPULASI M. Adib Jauhari Dwi Putra; Erik Maurten Firdaus; Findasari Findasari
JURNAL ILMU KOMPUTER DAN MATEMATIKA Vol 4, No 2 (2023): JURNAL ILMU KOMPUTER DAN MATEMATIKA
Publisher : Universitas Muhammadiyah Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26751/jikoma.v4i2.2008

Abstract

We studied the Lotka Volterra predator-prey model with linear harvesting of prey and predators. We found that there are 3 equilibrium points, namely the point of extinction of the two species, the point of extinction of predators and the point of coexistence of both species, predator and prey. The stability and existence of the three points depend on the parameter values in the model. We found that the populations of both species were sustainable if the growth rate of the predators was greater than the mortality and yield rates of the predators. Overharvesting led to the extinction of both species. We also perform numerical simulations using the Python programming language to see the system behavior graphically
MODEL PERAMALAN EKSPOR MINYAK DAN GAS INDONESIA MENGGUNAKAN METODE DEKOMPOSISI TREND MOMENT Findasari Findasari; Mita Puspita Sari; Azzizatuz Zahro; Irma Latifah
JURNAL ILMU KOMPUTER DAN MATEMATIKA Vol 6, No 1 (2025): JURNAL ILMU KOMPUTER DAN MATEMATIKA
Publisher : Universitas Muhammadiyah Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26751/jikoma.v6i1.2817

Abstract

Data deret waktu (time series) merupakan suatu jenis data yang dikumpulkan menurut urutan waktu dalam suatu rentang waktu tertentu. Peramalan pada data deret waktu dapat dilakukan untuk memprediksi kejadian di masa yang akan datang. Tujuan dari penelitian ini adalah menerapkan metode dekomposisi pada peramalan data deret waktu yang mengandung trend musiman. Penelitian ini bertujuan untuk mendapatkan sebuah model peramalan dan meramalkan hasil ekspor minyak dan gas Indonesia. Berdasarkan data ekspor minyak dan gas dari bulan Januari tahun 2015 sampai dengan bulan Juni tahun 2024, diperoleh model persamaan trend untuk hasil ekspor minyak dan gas pada bulan Juli tahun 2024 yaitu Y=1199,165+0,67885X, dimana X adalah jumlah bulan yang terdapat dalam data.
MEMBANGUN SITUS WEB CHATBOT UNTUK MENGOPTIMALKAN URBAN FARMING DENGAN INTEGRASI AMAZON BEDROCK Alkhawarizmi Alianda Widyasalam; Asya Nurfadilah; Farel Bayone Meijabar; Muhamad Annafi Anwar; Alfarezi Khulafa Haq; Alifna Zhillan Zhalila; Nabilah Amaalina Syafa; Azizatuz Zahro; Findasari Findasari
JURNAL ILMU KOMPUTER DAN MATEMATIKA Vol 5, No 2 (2024): JURNAL ILMU KOMPUTER DAN MATEMATIKA
Publisher : Universitas Muhammadiyah Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26751/jikoma.v5i2.2513

Abstract

Pertanian perkotaan telah muncul sebagai solusi inovatif untuk mengatasi tantangan permintaan pangan di daerah perkotaan yang padat penduduk. Di Jakarta, pertanian perkotaan menjadi semakin penting karena meningkatnya populasi dan berkurangnya ketersediaan ruang terbuka. Pendekatan ini tidak hanya membantu menyelesaikan masalah ketahanan pangan tetapi juga berkontribusi pada kelestarian lingkungan dan kesejahteraan sosial. Tim Urban Seeds berusaha untuk memajukan pertanian perkotaan melalui inovasi berbasis teknologi dan kolaborasi masyarakat. Dengan memanfaatkan teknologi mutakhir dan mengintegrasikan pembelajaran mesin, tim berfokus pada mendorong pertumbuhan dan inovasi, memungkinkan masyarakat perkotaan untuk mengoptimalkan sumber daya pertanian mereka. Penelitian ini menggunakan Amazon Bedrock sebagai generative AI yang terhubung dengan Meta Llama 2 Chat Kode Llama 70B, Chatbot Pertanian menjadi mudah diakses oleh pegiat pertanian perkotaan. Pembuatan website chatbot dengan Amazon Bedrock lebih mudah dari pembuatan chatbot dengan model lain jika dilihat dari penelitian-penelitian sebelumnya.
TEOREMA DENSITAS PADA HIMPUNAN SEMUA BILANGAN SAMAR Erik Maurten Firdaus; M. Adib Jauhari Dwi Putra; Findasari Findasari
JURNAL ILMU KOMPUTER DAN MATEMATIKA Vol 5, No 1 (2024): JURNAL ILMU KOMPUTER DAN MATEMATIKA
Publisher : Universitas Muhammadiyah Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26751/jikoma.v5i1.2231

Abstract

A fuzzy number is a fuzzy set with some special properties. In this paper, we defined some orderings on the set of all fuzzy numbers. We proved the Density Theorem on the set of all fuzzy numbers with an  ordering . We showed that between any two fuzzy numbers, there exists a trapezoidal fuzzy number.
Satisfaction of Outpatient Services at Sarkies Asyiyah Hospital Kudus Regarding the Frequency of BPJS PRB Zunia Khairunnisa; Yayuk Mundriyastutik; Findasari
Indonesian Health Issue Vol. 5 No. 1 (2026): FEBRUARY
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/inhis.v5i1.144

Abstract

Background: The BPJS Referral Program (PRB) is intended for patients with stable chronic diseases who require long-term care at FKTP. The frequency of PRB is influenced by patient satisfaction with the referral hospital's services. Objective: to analyze the effect of satisfaction with outpatient services at Sarkies Asyiyah Kudus Hospital on the frequency of BPJS PRB utilization. Method: A correlational analytical study with a quantitative approach was conducted on 30 outpatient respondents participating in BPJS at Sarkies Aisyiyah Kudus Hospital who were selected by Quota Sampling from 14 polyclinics. The research instrument was a patient satisfaction questionnaire based on five dimensions of SERVQUAL (Tangible, Reliability, Responsiveness, Assurance, Empathy). Data analysis used descriptive statistics, the Shapiro-Wilk normality test, Spearman correlation, and ordinal logistic regression. Results: All service quality dimensions are in the good–very good category. Spearman's test showed a significant positive relationship between patient satisfaction and the frequency of reverse referrals (p < 0.01) with the largest contribution being Tangible (ρ = 0.884). Ordinal logistic regression produced a Nagelkerke R-Square of 0.97, confirming that satisfaction explains 97% of the variation in reverse referrals. The Tangible dimension has a significant effect (p = 0.026), while the other dimensions are not significant. Conclusion: Outpatient satisfaction influences the frequency of BPJS PRB with the Tangible dimension as the dominant factor. Improvement of physical facilities and service comfort needs to be prioritized to support the effectiveness of the referral system.
Efektivitas Klinik Matematika terhadap Pemahaman dan Kesiapan Siswa Menghadapi Olimpiade Sains Nasional (OSN) Muhammad Rido Wujudi; Ndaru Atmi Purnami; Findasari; Eka Kusumawati; Muhammad Rizky Ardiansyah
Suluh Abdi Vol. 8 No. 1 (2026): Suluh Abdi
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM), Universitas Muhammadiyah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32502/suluhabdi.v8i1.2367

Abstract

Madrasah Aliyah Nahdlatul Ulama (NU) Banat Kudus menghadapi keterbatasan dalam pembinaan Olimpiade Sains Nasional bidang Matematika, baik dari segi sumber daya manusia pembina, ketersediaan modul, maupun strategi pembelajaran yang efektif. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan pemahaman dan kesiapan siswa SMA/MA dalam menghadapi Olimpiade Sains Nasional bidang Matematika tingkat kabupaten dan provinsi melalui kegiatan Klinik Matematika. Kegiatan dilaksanakan melalui tahap identifikasi masalah, perencanaan, pelaksanaan yang meliputi webinar, pendampingan intensif, klinik soal, dan pelatihan berbasis uji coba soal dengan model pembelajaran partisipatif, serta evaluasi dan pemantauan. Efektivitas kegiatan dievaluasi menggunakan desain tes awal dan tes akhir terhadap 36 siswa. Data dianalisis menggunakan skor gain ternormalisasi serta uji Wilcoxon bertanda peringkat karena data tidak berdistribusi normal. Hasil menunjukkan adanya peningkatan rata-rata skor dari [lengkapi nilai tes awal] pada tes awal menjadi [lengkapi nilai tes akhir] pada tes akhir, dengan skor gain ternormalisasi rata-rata sebesar 0,59 yang termasuk dalam kategori sedang. Hasil uji Wilcoxon menunjukkan adanya peningkatan yang signifikan secara statistik dengan nilai p < 0,001. Sebanyak [lengkapi jumlah atau persentase peserta] peserta berada pada kategori peningkatan sedang hingga tinggi. Dengan demikian, Klinik Matematika efektif dalam meningkatkan pemahaman dan kesiapan siswa menghadapi Olimpiade Sains Nasional bidang Matematika. Selain itu, kegiatan ini juga memperkuat jejaring perguruan tinggi dengan sekolah mitra serta mendukung implementasi kebijakan Merdeka Belajar Kampus Merdeka dan capaian indikator kinerja utama perguruan tinggi.
Prediksi Harga Cabai Merah Berbasis Long Short-Term Memory dan Komparasi ARIMA pada Data Runtun Waktu Alisa Apriliani; Ade Ima Afifa Himayati; Findasari Findasari
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 14 Issue 2 August 2026
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v14i2.39298

Abstract

The price of red chili in Jepara Regency, Central Java, shows high and nonlinear fluctuations due to seasonal factors, weather, and supply dynamics. This instability affects food inflation as well as the income of farmers and traders. This study aims to build a prediction model for red chili prices in Jepara Regency using the Long Short-Term Memory (LSTM) method and compare its performance with the Autoregressive Integrated Moving Average (ARIMA) method. The data used are weekly red chili prices from January 2020 to December 2025, obtained from the official hargajateng.org website. The research steps include data preprocessing, normalization using Min-Max Scaling, forming time series data with a sliding window, training the LSTM model using the Adam optimizer, Mean Squared Error (MSE) as the loss function, a maximum of 200 epochs, batch size of 8, and applying EarlyStopping to get the best model. Performance evaluation was done using Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE). The study results show that the LSTM model can follow chili price change patterns well, producing an RMSE of 16,707.02, an MAE of 12,348.54, and a MAPE of 19.31% on the testing data. Additionally, the 16-week forecasting results give an idea of the price trend in the upcoming period. Compared to the ARIMA model, which produced an RMSE of 20,992.15, an MAE of 13,867.26, and a MAPE of 22.70%, the LSTM model shows better prediction performance with lower error rates. The study indicates that the LSTM method is more effective in modeling nonlinear patterns in red chili price data compared to the ARIMA method.
Parametric and Non-Parametric Approaches to the Analysis of Adolscents' Knowledge and Attitudes on Tuberculosis Findasari Findasari; Fitriana Kartikasari; Ivanna Isty Nursani; Ndaru Atmi Purnami
Jurnal Matematika Sains dan Teknologi Vol. 26 No. 2 (2025)
Publisher : LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33830/jmst.v26i2.13409.2025

Abstract

Pulmonary tuberculosis (TB) remains a major public health problem in Indonesia. Improving adolescents’ knowledge and attitudes through school-based health education is essential to support TB prevention efforts. This study aimed to assess changes in knowledge and attitudes toward pulmonary tuberculosis following an audiovisual-based health education intervention. A quantitative pre-experimental one-group pretest–posttest design was conducted among 103 Grade XI students in a senior high school in Kudus Regency, Central Java. Data were collected using structured questionnaires. Normality was assessed prior to analysis; as most variables violated the normality assumption (p < 0.05), the Wilcoxon Signed-Rank Test was used as the primary statistical method, while the paired t-test was performed as a supplementary comparison analysis. The results showed a significant increase in knowledge scores from a median of 26 to 28 (Z = –4.865, p < 0.001, r = 0.48) and a significant improvement in attitude scores (Z = –7.383, p < 0.001, r = 0.73). The paired t-test produced consistent results, with a mean increase of 1.835 points in knowledge (95% CI: 1.177–2.493; Cohen’s d = 0.545) and 3.417 points in attitudes (95% CI: 2.717–4.118; Cohen’s d = 0.954). Normalized gain analysis indicated that improvement in knowledge was categorized as low, whereas improvement in attitudes reached the medium category. In conclusion, audiovisual-based health education was associated with positive changes in adolescents’ knowledge and attitudes regarding pulmonary tuberculosis. However, because the study was conducted in a single school using a pre-experimental design, the findings should be generalized with caution. Further controlled studies involving more diverse populations are recommended.
Application of Runge Kutta Fehlberg (RKF45) Method as a Numerical Analysis to SIR Model of Tuberculosis Transmission in Central Java Nur Alisa; Ade Ima Afifa Himayati; Findasari Findasari
Indonesian Journal of Education and Mathematical Science Vol 6, No 3 (2025)
Publisher : Universitas Muhammadiyah Sumatera Utara (UMSU)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/ijems.v6i3.26789

Abstract

This study uses a three-compartment SIR model to describe the spread of tuberculosis in Central Java. Changes in individuals who are detected, recover, die naturally, and die from tuberculosis affect disease transmission. Numerical simulations are used to validate the analytical results and identify the key parameters that contribute most to disease transmission among susceptible, infected, quarantined, and recovered individuals. The numerical method used is the Runge-Kutta-Fehlberg method. Using this method, a quantitative description of the numbers of susceptible, infected, and recovered individuals is obtained, which can assist the Central Java Health Office in efforts to prevent and control the spread of tuberculosis. The SIR model obtained from the parameter determination is then solved using the Runge-Kutta-Fehlberg method. The results obtained using data from 2021–2023 show initial values of 111,120,397 for Susceptible, 157,024 for Infected, and 38,452 for Recovered, with a birth rate parameter of 0.013043, a natural mortality rate of 0.001287, a tuberculosis mortality rate of 0.041376, a transmission rate from Susceptible to Infected of 0.001411, and a recovery rate from Infected to Recovered of 0.24488 individuals. In the 50th year, there are 35,073,325 Susceptible individuals, the number of Infected individuals is 0.04, and the number of Recovered individuals is 74,774. The number of tuberculosis infection cases decreases from year to year.
Co-Authors Ade Ima Afifa Himayati Ade Ima Afifa Himayati Ade Irma Afifa Himayati Akhyasin Akhyasin Alfarezi Khulafa Haq Alif Miftachul Nasikhah Alifna Zhillan Zhalila Alisa Apriliani Alkhawarizmi Alianda Widyasalam Anisa Sholikhati Asya Nurfadilah Avira Budianita Azizatuz Zahro Azzizatuz Zahro Dhina Cahya Rohim Eka Kusumawati Eka Kusumawati, Eka Erik Maurten Firdaus Erik Maurten Firdaus Farel Bayone Meijabar Fathimah Isnina Fitriana Kartikasari Hanin Fitria Hardiyani Presticasari Hayik Lana Nurul Khafidoh Irma Latifah Irma Latifah Irvandi Gorby Pasangka Ivanna Isty Nursani Ivanna Isty Nursani M. Adib Jauhari Dwi Putra M. Adib Jauhari Dwi Putra Manggalastawa Manggalastawa Maturbongs, Nadhira Hasna Melvin Dewi Rosita Milad Naufal Akbar Mita Puspita Sari Muhamad Annafi Anwar Muhammad Nurul Fadel Muhammad Rido Wujudi Muhammad Rizky Ardiansyah Mursidah Mursidah Nabilah Amaalina Syafa Nunung Agus Firmansyah Nur Alisa Nur Hakimah Nurul Putri Shafira Pratama, Ilham Yoga Prawadika, Luqman Nuradi Purnami, Ndaru Atmi Samani Intakoris Sari, Mita Puspita Sofiarini, Ida Suharis, Ridho Taftazani Ghazi Pratamana Yayuk Mundriyastutik Zunia Khairunnisa