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All Journal ComEngApp : Computer Engineering and Applications Journal Journal of Educational, Health and Community Psychology Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Inovasi Matematika (Inomatika) Prosiding Seminar Nasional Unimus

Bambang Suprihatin

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Author-ID : 2757846

Humanities Computer Science & IT Education Engineering Health Professions Mathematics Nursing Public Health Other

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Articles

Hubungan Intensitas Menonton Tayangan Kekerasan di Televisi dan Intensitas Pemberian Punishment dengan Perilaku Bulyying di Kalangan Pelajar SMA Bambang Suprihatin
Journal of Educational, Health and Community Psychology Vol 1, No 1: April 2012
Publisher : Universitas Ahmad Dahlan

AbstractÂ Bullying is an aggression act that goal to hurt, humiliate and coercion a weak victim psychologically and physicaly. The present study aims to examine the role of watching violent movie in televesion, and punishment reinforcement with bullying behavior among senior high school students. 128 students were involved in this study. The result showed that there is a relationship between watching violent movie in television and punishment reinforcement with bullying behavior. The implication of the study is discussed further in article.Keywords: intensity watching violent movie in television, punishment reinforcement and Â bullying behavior.Â

Segmentation of the Lungs on X-Ray Thorax Images with the U-Net CNN Architecture Teddi Pranata; Anita Desiani; Bambang Suprihatin; Herlina Hanum; Filda Efriliyanti
Computer Engineering and Applications Journal Vol 11 No 2 (2022)
Publisher : Universitas Sriwijaya

Lungs are one of the most important parts of the human body. They are very susceptible to various disorders and diseases. For this reason, it is necessary to detect or diagnose the lungs. In this study, we present a method for lung segmentation using the CNN method U-Net architecture. The initial stage was pre-processed did a 1-1 correspondence to equalize the amount of training data and testing data and resized the image so all images have the same size. The process continued with the CLAHE (Contrast Limited Adaptive Histogram Equalization), and after that, the segmentation process was carried out according to the method. This study used a dataset from the Kaggle website. The results used the CNN method of the U-Net architecture in data get an average accuracy of 91.68%, sensitivity 92.80%, and specificity 89.15%, precision 95.07, and F1-Score 93. 92%. Based on the performance evaluation results, it was concluded that the method proposed in the study is great and valid in the lungs segmentation on X-Ray Thorax images.

PEMBERDAYAAN PENGRAJIN SONGKET MELALUI PENDAMPINGAN APLIKASI DESAIN GRAFIS DI DESA LIMBANG JAYA Bambang Suprihatin; Sugandi Yahdin; Sri Indra Maiyanti; Rifkie Primartha; Anita Desiani; Dite Geovani; Redina An Fadhila Chaniago; Nyayu Chika Marselina; Aulia Salsabila; Ira Rayyani
Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Vol 10 No 1 (2023): Januari
Publisher : Lembaga Penelitian, Penerbitan dan Pengabdian Masyarakat (LP3M) UNSIQ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/ppkm.v10i1.3643

Kain tenun songket merupakan salah satu aset budaya di Sumatera Selatan. Salah satu desa di Sumatera Selatan yang memproduksi kain tenun songket adalah Desa Limbang Jaya. Penjualan kain tenun songket dan produk lainnya di Desa Limbang Jaya masih dalam skala terbatas sehingga jangkauan pemasaran kain tenun songket produksi Desa Limbang Jaya belum mencakup pasar yang luas. Strategi pemasaran secara online merupakan salah satu faktor penting dalam mempromosikan suatu produk agar dapat menjangkau lebih banyak konsumen. Untuk itu, dilakukan pendampingan panduan penggunaan aplikasi Canva bagi masyarakat Desa Limbang Jaya khususnya para pengrajin kain tenun songket untuk melakukan pemasaran secara online melalui postingan pada platform media sosial sehingga memiliki tampilan yang menarik dan informatif. Dalam pelaksanaannya, kegiatan pendampingan masyarakat ini dilakukan dalam tiga tahapan, yaitu persiapan, pelaksanaan kegiatan dan evaluasi. Setelah dilaksanakannya kegiatan pendampingan kepada masyarakat ini dapat dilihat dari hasil pre-test dan post-test masyarakat Desa Limbang Jaya telah memahami materi dan mampu menerapkan secara langsung penggunaan aplikasi Canva, dengan ini masyarakat Desa Limbang Jaya dapat meningkatkan penjualan kain tenun songket ataupun produk lainnya dalam cakupan pasar yang lebih luas.

Pengaruh Penerapan Konsep Jari Gasing untuk Meningkatkan Kemampuan Berhitung Anak Usia Dini di Panti Asuhan Ilir Barat I Palembang Endang Sri Kresnawati; Bambang Suprihatin; Ning Elyati; Ansyori Ansyori; Yulia Resti
Prosiding Seminar Nasional Unimus Vol 4 (2021): Inovasi Riset dan Pengabdian Masyarakat Post Pandemi Covid-19 Menuju Indonesia Tangguh
Publisher : Universitas Muhammadiyah Semarang

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

Anak usia dini adalah anak 0-6 tahun, periode emas, masa terbaik untuk perkembangan fisik danotak anak. Pada masa ini, anak sangat membutuhkan perhtian orang tua untuk membantuperkembangan motorik dan kognitif anak. Anak-anak yang tidak memiliki orang tua dan harusmenetap di panti asuhan, atugas orang tua beralih ke pengelola panti. Tidak semua pengelola pantiasuhan mampu memenuhi kebutuhan tumbuh kembang anak, terutama dalam mempersiapkankemampuan dasar anak-anak untuk memasuki jenjang pendidikan formal SD. Berhitung adalahketerampilan dasar yang sebaiknya diberikan paada masa tersebut. Salah satu metode sederhananamun sesuai prinsip matematika adalah konsep jari matematika gasing. Konsep ini mengajarkananak mengensl angka melalui peragaan jari dan melakukan penjumlahan 1-10. Hasil evaluasimenunjukkan peningkatan kemampuan anak sebesar 55% dari sebelumnya. Hal ini menunjukkanbahwa metode tersebut berhasil meningkatkan kemampuan anak usia dini dalam menjumlahkan 110.Kata Kunci : Konsep jari, Matematika gasing, Anak usia dini

Coronary Artery Disease Prediction Using Decision Trees and Multinomial NaÃ¯ve Bayes with k-Fold Cross Validation Endang S Kresnawati; Yulia Resti; Bambang Suprihatin; M. Rendy Kurniawan; Widya Ayu Amanda
Jurnal Inovasi Matematika Vol 3 No 2 (2021): Inovasi Matematika (Inomatika)
Publisher : Pendidikan Matematika Universitas Muhammadiyah Bangka Belitung

Coronary artery disease has been the leading cause of death in the world population for at least two decades (2000-2019) and has experienced the largest increase in mortality in that time span compared to other causes of death. The success of predicting coronary artery disease early based on medical data is not only beneficial for patients, but also beneficial for the stability of the country's economy. This paper discusses the prediction of coronary artery disease risk by implementing two statistical learning methods, namely Multinomial NaÃ¯ve Bayes and Decision Tree with 10-fold cross validation, where numerical variables are discretized to obtain categorical variables. The results showed that the Decision Tree method has better performance than the Multinomial NaÃ¯ve Bayes method in predicting coronary artery disease. The performance measure of the Decision Tree method obtained an accuracy rate of 99.63%, 100% sensitivity, 99.33% specificity, 99.23% precision, and 100% Negative Prediction Value. These measures indicate that the Decision Tree method is appropriate for predicting coronary artery disease, including independent data (other coronary artery disease data with the same predictor variables). The results of this study also show that the different references to previous studies in discretizing numerical variables can improve the performance of the method in predicting coronary artery disease.

Implementation of a Breakpoint Halfway Discretization to Predict Jakarta's Air Quality Winoto Chandra; Resti, Yulia; Bambang Suprihatin
Jurnal Inovasi Matematika Vol 4 No 1 (2022): Inovasi Matematika (Inomatika)
Publisher : Pendidikan Matematika Universitas Muhammadiyah Bangka Belitung

Despite the pandemic, Jakarta is one of the most polluted cities in the world. Knowing the daily air quality forecast aids the community, particularly Jakarta residents. Among these is the ability to protect oneself from dangerous air. The multinomial naive Bayes and the decision tree-ID3 methods are popular and perform well. Both of these strategies, however, require categorical variables. This need necessitates the implementation of a discretization technique for numerical variables. The purpose of this study is to predict Jakarta's air quality using the multinomial naive Bayes and decision tree method based on Particulate Matter 10 Âµg (PM10), Sulfur Dioxide (SO2), Nitrogen Dioxide (NO2), Ozone (O3), and Carbon Monoxide (CO). These continuous variables are discretized in two ways: using all midway breakpoints or halfway mixture breakpoints. The results indicated that the decision tree method with the mixture breakpoints halfway approach performed better than the multinomial nave Bayes method, with an accuracy of 98.90%, a specificity of 98.92%, a sensitivity of 75.00%, a precision of 75.00%, and an F1 score of 97.81%.

Co-Authors Anita Desiani Ansyori Ansyori Aulia Salsabila Dite Geovani Endang S Kresnawati Endang Sri Kresnawati Filda Efriliyanti Herlina Hanum Ira Rayyani M. Rendy Kurniawan Ning Elyati Nyayu Chika Marselina Redina An Fadhila Chaniago Rifkie Primartha Sri Indra Maiyanti Sugandi Yahdin Teddi Pranata Widya Ayu Amanda Winoto Chandra Yulia Resti

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