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Implementation of Transfer Learning for Covid-19 and Pneumonia Disease Detection Through Chest X-Rays Based on Web Nindya Eka Apsari; Sugiyanto Sugiyanto; Sri Sulistijowati Handajani
Indonesian Journal of Applied Statistics Vol 5, No 1 (2022)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v5i1.59442

Abstract

Coronavirus disease 2019, known as COVID-19, attacks the human respiratory system caused by severe acute respiratory syndrome coronavirus-2 (SARS-Cov-2). COVID-19 disease and pneumonia show similar symptoms such as fever, cough, even headache. Diagnosis of pneumonia can be tested through diagnostic tests, including blood tests, chest X-rays, and pulse oximetry, while the diagnosis of COVID-19 recommended by WHO is with swab test (RT-PCR). But in fact, the swab test method takes a relatively long time, for about one to seven days, for the result, and is not cheap. For that, there needs to be a development that can be one of the options in diagnosing COVID-19 and pneumonia at once, especially since both diseases have similar symptoms. One option that can be done is the diagnosis using a chest X-ray. This research aims to detect COVID-19 disease and pneumonia through chest X-rays using transfer learning to increase the accuracy of disease diagnosis with a more efficient time. The architecture used is EfficientNet B0 with variations in optimization parameters, learning rates, and epochs. EfficientNet B0 Adam optimization with a learning rate of 0.001 in the 6th epochs is a great model that we obtained. Furthermore, the evaluation of the model got accuracy, precision, recall, and f1-score of 92%. Then the model visualization is done using Grad-CAM. To implement the best model, web application development is done to make it easier to detect COVID-19 disease and pneumonia.Keywords: COVID-19; pneumonia; EfficientNet; transfer learning; web
Early Detection of South Korean Financial Crisis using MS-GARCH Based on Term of Trade Indicator Husna Afanyn Khoirunissa; Sugiyanto Sugiyanto; Sri Subanti
Indonesian Journal of Applied Statistics Vol 4, No 2 (2021)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v4i2.49169

Abstract

Abstract. The 1997 Asian financial crisis, which occurred until 1998, had a significant impact on the economies of Asian countries, including South Korea. The crisis brought down the South Korean currency quickly and sent the economy into sudden decline. Because the impact of the financial crisis was severe and sudden, South Korean requires a system which able to sight crisis signals, therefore that, the crisis will be fended off. One in all the indicators that can detect the financial crisis signals is that the term of trade indicator which has high fluctuation and change in the exchange rate regime. The mixture of Markov Switching and volatility models, Generalized Autoregressive Conditional Heteroscedasticity (GARCH), or MS-GARCH could explain the crisis. The MS-GARCH model was built using data from the South Korean term of trade indicator during January 1990 until March 2020. The findings obtained in this research can be inferred that the best model of the term of trade is MS-GARCH (2,1,1). Term of trade indicator on that model could explain the Asian monetary crisis in 1997 and also the global monetary crisis in 2008. The smoothed probability of term of trade indicators predicts in April till December 2020 period, there will be no signs of the monetary crisis in South Korea.Keywords: financial crisis, MS-GARCH, South Korea, term of trade indicator
Model Variasi Kalender pada Regresi Runtun Waktu untuk Peramalan Jumlah Pengunjung Grojogan Sewu Etik Zukhronah; Winita Sulandari; Isnandar Slamet; Sugiyanto Sugiyanto; Irwan Susanto
Indonesian Journal of Applied Statistics Vol 4, No 2 (2021)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v4i2.47163

Abstract

Abstract. Grojogan Sewu visitors experience a significant increase during school holidays, year-end holidays, and also Eid al-Fitr holidays. The determination of Eid Al-Fitr uses the Hijriyah calendar so that the occurrence of Eid al-Fitr will progress 10 days when viewed from the Gregorian calendar, this causes calendar variations. The objective of this paper is to apply a calendar variation model based on time series regression and SARIMA models for forecasting the number of visitors in Grojogan Sewu. The data are Grojogan Sewu visitors from January 2009 until December 2019. The results show that time series regression with calendar variation yields a better forecast compared to the SARIMA model. It can be seen from the value of  root mean square error (RMSE) out-sample of time series regression with calendar variation is less than of SARIMA model.Keywords: Calendar variation, time series regression, SARIMA, Grojogan Sewu
PENERAPAN METODE AUTO SINGULAR SPECTRUM ANALYSIS PADA PERAMALAN DATA INDEKS HARGA SAHAM GABUNGAN DI INDONESIA Andreas Reza Chrisantama; Winita Sulandari; Sugiyanto Sugiyanto
Pattimura Proceeding 2021: Prosiding KNM XX
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (954.36 KB) | DOI: 10.30598/PattimuraSci.2021.KNMXX.405-410

Abstract

Keinginan dari seseorang untuk memenuhi kebutuhan serta permintaan dalamaktivitasnya setiap hari akan semakin banyak, apalagi sekarang di dalam masa kehidupanpandemik ini banyak masyarakat yang ingin meningkatkan kembali ekonomi mereka. Makadari itu diperlukan penanda dari pergerakan pasar saham untuk mengukur kinerja seluruhsaham yang tercatat di papan utama, yang merupakan asal terciptanya dari Indeks HargaSaham Gabungan (IHSG). Peramalan indeks harga saham ini penting bagi masyarakat yangingin mengukur kinerja portofolio dari investasi mereka serta bagi negara yangmengandalkan IHSG dalam menunjukkan pertumbuhan ekonomi Indonesia. Tujuan daripenelitian ini adalah menerapkan metode autoSSA yang merupakan pembuatan grup barusecara otomatis pada data yang sudah direkonstruksi untuk melihat nilai prediksi yang akandatang dari indikator yang sudah diambil. Metode autoSSA dipilih karena teknik projektifsecara tradisional tidak dapat langsung diterapkan pada sinyal one-dimensional., yangmerupakan kasus time series. Indikator IHSG yang digunakan adalah data Indeks mingguanpada tahun 2018 hingga 2020. Tahap-tahap untuk melakukan prediksi dengan metode iniantara lain membuat serta memeriksa plot data deret waktu yang telah diambil, melakukantahap dekomposisi serta merekonstruksi kembali data time series yang baru, dan akandilakukan peramalan data time series dalam 50 minggu ke depan dari model data yang telahdidapatkan untuk melihat pergerakan IHSG ke depannya. Hasil prediksi yang didapatkandari metode ini menunjukkan adanya pergantian fluktuasi secara musiman (seasonal)dengan nilai tertinggi berada di minggu ke-29 dan nilai terendah berada di minggu ke-50.
PENERAPAN METODE ARIMAX PADA PERAMALAN PRODUKSI DAGING SAPI DI SUKOHARJO Fitrian Nur Ardyansyah; Winita Sulandari; Sugiyanto Sugiyanto
Pattimura Proceeding 2021: Prosiding KNM XX
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (990.601 KB) | DOI: 10.30598/PattimuraSci.2021.KNMXX.451-458

Abstract

Daging sapi merupakan salah satu sumber protein kaya akan zat gizi yang diperlukan oleh tubuh. Kebutuhan gizi dapat mempengaruhi jumlah permintaan daging sapidi masyarakat. Produksi daging sapi umumnya dipengaruhi momen atau peristiwa tertentu seperti Hari Raya Idul Adha yang erat kaitannya dengan pelaksanaan ibadah kurban.Penentuan Hari Raya Idul Adha tidak mengikuti kalender Masehi, tetapi berdasarkan kalender Hijriyah. Perbedaan penggunaan kalender Masehi dan Hijriyah pada suatu dataruntun waktu menyebabkan adanya efek variasi kalender. Pemodelan untuk data runtunwaktu yang mengandung variasi kalender dapat dilakukan dengan menggunakan metodeAutoregressive Integrated Moving Average Exogenous (ARIMAX). Data yang digunakan,dalam penelitian ini adalah data jumlah produksi daging sapi di Sukoharjo bulan Januari2007 sampai bulan Desember 2020. Data dibagi menjadi dua, yaitu data training sejumlah157 observasi dan data testing sejumlah 12 observasi. Variabel eksogen menggunakanvariabel dummy dua belas bulan, dummy bulan saat Hari Raya Idul Adha, dan dummy bulansetelah Hari Raya Idul Adha. Hasil analisis menunjukan model ARIMAX(1,0,1) merupakan model terbaik dengan nilai RMSE sebesar22053,11. Model ini dapat digunakan untuk memproyeksikan pola data produksi daging sapidi Sukoharjo.
PENINGKATAN KEMAMPUAN GURU PEMBINA KOMPETISI SAINS NASIONAL MATA PELAJARAN MATEMATIKA SMP DI KABUPATEN KARANGANYAR Etik Zukhronah; Winita Sulandari; Sugiyanto Sugiyanto; Isnandar Slamet; Sri Subanti; Irwan Susanto
J-ABDI: Jurnal Pengabdian kepada Masyarakat Vol. 2 No. 8: Januari 2023
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/jabdi.v2i8.4526

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Dalam upaya meningkatkan kemampuan guru pembina kompetisi sains nasional, Dinas Pendidikan dan Kebuadayaan Kabupaten Karanganyar bekerjasama dengan tim pengabdi dari Program Studi Statistika FMIPA Universitas Sebelas Maret mengadakan bimbingan teknis materi KSN mata pelajaran Matematika pada guru-guru Pembina KSN mata pelajaran Matematika SMP di Kabupaten Karanganyar. Kegiatan bimbingan teknis yang dilaksanakan selama dua hari telah mampu meningkatkan kemampuan peserta hingga 33 %. Untuk hasil yang lebih optimal, kegiatan serupa perlu dilakukan secara rutin dan terstruktur.
PENINGKATAN JIWA WIRAUSAHA SANTRI MELALUI PELATIHAN PEMANFAATAN SAMPAH PLASTIK MENJADI PRODUK BERNILAI JUAL Etik Zukhronah; Winita Sulandari; Isnandar Slamet; Sri Subanti; Sugiyanto Sugiyanto; Irwan Susanto
J-ABDI: Jurnal Pengabdian kepada Masyarakat Vol. 2 No. 9: February 2023
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/jabdi.v2i9.4777

Abstract

Lack of public understanding about the proper handling of plastic waste can damage the environment. Based on the results of a survey conducted on students at the Darul Muttaqin Islamic Boarding School, Sragen, it can be seen that the waste management in the boarding school has not been carried out properly. In general, waste is directly disposed of in a landfill, without prior sorting between organic and inorganic waste. In this case, the residents of the cottage have not tried to process waste, especially plastic waste into useful products. For this reason, the service team for the Statistics Study Program FMIPA UNS held a socialization and training on the use of plastic waste into ornamental flower products. The purpose of this activity is to equip students with skills, as well as to foster an entrepreneurial spirit by marketing products from plastic waste to the general public. In the end, the success of product marketing will provide its own advantages as an alternative source of income for the students. In the future, the activities carried out consistently and sustainably will not only provide good benefits for the students but also the preservation of the surrounding environment.
LTAD Concept Learning To Train Stage of Taekwondo Sport: Narrative Study Nur Styasih; Sugiyanto Sugiyanto; Hanik Liskustyawati; Slamet Riyadi
Social, Humanities, and Educational Studies (SHES): Conference Series Vol 6, No 2 (2023): Social, Humanities, and Educational Studies (SHEs): Conference Series
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/shes.v6i2.80091

Abstract

LTAD was initiated by Balyi has stages, one of which is the learning to train stage aged 8-12 years. This stage is entering the golden age and crucial, as coaches need to understand this basic concept. But some previous studies say there is still a need for information and evidence to support this concept. The purpose of this study is to provide information about the concept of LTAD learning to train taekwondo stage through literature review studies as a research method. Based on document analysis in the form of relevant articles and ebooks, the learning to train stage emphasizes self-control, respect, perfecting basic technical skills with a playful approach, developing tactical and practical knowledge and learning basic strategies for defense and attack. Develop special skills, develop speed, agility, balance, eye and hand coordination. It has begun to introduce exercise tools such as medicine balls and other tools. Emphasis on concentration, emotional control, self-confidence. Practice is about 70% and match is 30%. At this stage, the main goal is not to win, but the athlete can integrate the exercises that have been obtained. The author hopes that this study will provide information for taekwondo practitioners and academics related to the LTAD concept of learning to train. This study is only narrative, future research needs to use experimental and longitudinal methods to test the effectiveness of the LTAD concept
Pengembangan Mobile Learning dengan Aplikasi Padlet untuk Meningkatkan Kemandirian dan Hasil Belajar Geografi Peserta Didik Kelas X IPS di SMA Negeri Surakarta Tahun Ajaran 2021/2022 (Materi Dinamika Hidrosfer dan Dampaknya terhadap Kehidupan) Adelia Jasmine Nurhalisa; Singgih Prihadi; Sugiyanto Sugiyanto
GEADIDAKTIKA Vol 2, No 2 (2022): Geadidaktika Agustus 2022
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/gea.v2i2.61998

Abstract

The aims of this study were: (1) to analyze the initial conditions of learning independence for class X Social Studies at SMA Negeri 6 Surakarta; (2) Familiarize yourself with mobile learning media with padlet applications on the Hydrosphere Dynamics material and its Impact on the Life of Class X Social Sciences at SMA Negeri 6 Surakarta; and (3) Knowing the effectiveness of mobile learning media with padlet applications to increase the independence and learning outcomes of class X Social Studies students at SMA Negeri 6 Surakarta.The research method used is Research and Development (R&D) with the ADDIE development model. The sampling technique used was simple random sampling and independent learning data collection instruments using questionnaires and observation sheets, learning outcomes about pretest and posttest questions, using media validity validation media, material experts, educators, and individual, small group and field trials.The results showed: (1) The level of learning independence of students in class X IPS is classified as medium and low; (2) Mobile learning with the padlet application to increase independence and learning outcomes was declared suitable for use by media experts (got mode 4), and material experts (got mode 5). The feasibility of this media is also supported by the results of individual trials, small group trials and field trials. (3) Mobile learning media with padlet applications is effective for increasing students' independence and geography learning outcomes. The calculation of the effectiveness of mobile learning with the padlet application is calculated using the Paired Sample T-test formula for a significant level of 5% and the result is that the P Value <0.05.. Keywords: Mobile Learning, Padlet, Hydrosphere, Independent Learning, Learning       Outcomes
Efektivitas Pembelajaran Geografi Melalui Integrasi Whatsapp Group dan Gnomio Terhadap Hasil Belajar Siswa Kelas XI di SMA Negeri 8 Surakarta Yoseph Vido Anggrihar Saputro; Sugiyanto Sugiyanto; Mohammad Gamal Rindarjono
GEADIDAKTIKA Vol 1, No 2 (2021): Geadidaktika Agustus 2021
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/gea.v1i2.53931

Abstract

Penelitian ini bertujuan untuk mengetahui perbedaan hasil pembelajaran antara geografi pembelajaran melalui integrasi WhatsApp Group dan Gnomio dengan integrasi WhatsApp Group dan Google Classroom, sehingga nantinya dapat menentukan efektivitas pembelajaran geografi melalui integrasi WhatsApp Group dan Gnomio pada hasil belajar siswa kelas XI di SMA Negeri 8 Surakarta. Penelitian ini adalah penelitian eksperimental. Analisis data yang digunakan dalam penelitian ini adalah Uji Normalitas, Uji Homogenitas, Uji N-Gain, dan Uji T Sampel Independen. Hasil penelitian ini menunjukkan bahwa nilai rata-rata pretest di kelas eksperimen adalah 64,86 dan di kelas kontrol adalah 61,03, sedangkan hasil nilai rata-rata posttest di kelas eksperimen adalah 81,71 dan di kelas kontrol adalah 73,97. Selanjutnya, hasil perhitungan N-Gain di kelas eksperimen memiliki Skor Gain rata-rata 0,4781 dan untuk kelas kontrol memiliki Skor Gain rata-rata 0,225. Hal ini menunjukkan bahwa kelas eksperimen memiliki indeks perolehan hasil belajar dalam kategori sedang dan kelas kontrol memiliki indeks perolehan hasil belajar dalam kategori rendah, ini mengacu pada tabel kategori efektivitas Skor Gain menurut Hake pada Mchunu Imenda (2015) Selanjutnya, menguji hipotesis pada hasil skor N-Gain menggunakan tes-T Sampel Independen,  yang dari perhitungan tersebut menunjukkan nilai Sig. (2-tailed) sebesar 0,011, sehingga p < 0,05 maka hipotesis Ha dapat diterima, sehingga hasil tes membuktikan bahwa terdapat perbedaan hasil belajar pada kelas eksperimen yang menerapkan pembelajaran geografi melalui integrasi Whatsapp Group dan Gnomio dengan kelas kontrol yang menerapkan pembelajaran geografi melalui integrasi Whatsapp Group dan Google Classroom pada siswa kelas XI pada SMA Negeri 8 Surakarta.