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Pelatihan Pengelolaan Keuangan Berbasis Komputer Dalam Peningkatan Tertib Administrasi Pada Kader Kesehatan Di Giwangan Umbulharjo Yogyakarta Hiswati, Marselina Endah; Sapariyah, Sapariyah; Sudiyatmi, Sudiyatmi; Lestariningsih, Lestariningsih
Jurnal Pengabdian Dharma Bakti VOL 3, NO 1 (2020) : FEBRUARI 2020
Publisher : Universitas Respati Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/jpdb.v3i1.100

Abstract

PLKB health cadres in Giwangan Yogyakarta are now using conventional methods in accounting start from managing administrative data to financial processing. It requires manual documentation by writing on sheets of paper. Data loss due to paper based is vulnerable Apart from the possibility of unclear writing, tearing can cause damage on this document and cause problems that make it difficult for accountability. This paper applies the training method by giving lectures and computer demonstrations. The level of participant education requires a patient speaker in delivering the material in slowly and detail. Hence, the constraints required good, polite treatment, speech andwell ethics. The results of activity to the PLKB health cadre in Giwangan are expected to increase the understanding and give insight of computers beneficial in financial management. Besides, this activity can increase motivation in computerimplementation optimallyKeywords: PLKB cadres, financial management, training
PEMANFAATAN TANAMAN HERBAL UNTUK MENINGKATKAN IMUNITAS TUBUH SELAMA PANDEMI COVID-19 Widaryanti, Rahayu; Muflih, Muflih; Hiswati, Marselina Endah
Jurnal Pengabdian Dharma Bakti VOL 4, NO 2 (2021) : AGUSTUS 2021
Publisher : Universitas Respati Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/jpdb.v14i2.147

Abstract

Facing a pandemic situation, efforts are needed to control and prevent COVID-19. One of the prevention efforts that can be done is to increase community resilience, through improving individual health. The body's immune system can be maintained and improved, mainly through healthy living habits, including maintaining cleanliness, good nutrition, added with the use of health supplements and herbal ingredients or traditional medicines. This activity aims to increase public insight and knowledge about the use of herbal plants to increase body immunity during the COVID-19 pandemic. The method used is a persuasive approach through education or health education and direct practice of processing herbal ingredients. This community service involves 12 housewives and health cadres. The instruments used include pre-test and post-test sheets and checklist sheets. Then, it was analyzed by using frequency distribution for demographic data and graphs for pre-test and post-test scores. The results of community service showed that mothers who had good knowledge increased from 10% to 75%, while mothers who had low knowledge decreased from 35% to 5%.
EVALUASI KEMAMPUAN PEMANFAATAN HERBAL UNTUK MENINGKATKAN IMUNITAS DI MASA PANDEMI COVID-19 PADA KADER KESEHATAN Marselina Endah Hiswati, Muflih, Rahayu Widaryanti,
Prosiding Seminar Nasional Multidisiplin Ilmu Vol 3, No 1 (2021): Strategi Mempertahankan Kualitas Penelitian dan Publikasi di Era Pandemi
Publisher : Universitas Respati Yogyakarta

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

Abstract

Banyak tanaman herbal berkhasiat obat yang bermanfaat untuk meningkatkan imunitas, namun sangat jarang adanya upaya pemanfaatannya di lingkungan masyarakat sebelum masa pandemi COVID-19. Pemanfaatan tanaman herbal di masa pandemi COVID-19 sangat tinggi, tetapi tidak diikuti dengan kemampuan pengolahan dan penyimpanan dengan baik. Oleh karena itu, perlu dilakukan upaya pembinaan masyarakat agar terjadi peningkatan kemampuan kader kesehatan tentang pemanfaatan herbal untuk meningkatkan imunitas di masa pandemi COVID-19. Metode yang digunakan pada kegiatan ini adalah pengajaran kelompok pada 12 kader kesehatan yang dilaksanakan pada bulan November 2021. Evaluasi kegiatan menggunakan data kualitatif yang diperoleh dengan cara observasi dan wawancara terstruktur. Hasil kegiatan diperoleh bahwa jawaban-jawaban verbal dari kader kesehatan telah sesuai dengan pokok bahasan yang telah didiskusikan. Penampilan (demonstrasi ulang) kader kesehatan tampak cukup baik walaupun masih ada yang kurang tepat tentang cara pengolahan dalam bentuk jamu dan penyimpanan herbal imunitas dalam bentuk simplisia. Kesimpulan kegiatan didapatkan bahwa terjadi peningkatan kemampuan pemanfaatan herbal dari level rendah ke cukup baik. Selanjutnya, perlu dilakukan rencana tindak lanjut yang berupa kegiatan pemantapan dan peningkatan kemampuan tentang pengolahan dan pengemasan herbal sehingga menjadi layak dijual, selain disimpan dalam waktu lama.
DeepOSN: Bringing deep learning as malicious detection scheme in online social network Putra Wanda; Marselina Endah Hiswati; Huang J. Jie
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 9, No 1: March 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (533.382 KB) | DOI: 10.11591/ijai.v9.i1.pp146-154

Abstract

Manual analysis for malicious prediction in Online Social Networks (OSN) is time-consuming and costly. With growing users within the environment, it becomes one of the main obstacles. Deep learning is growing algorithm that gains a big success in computer vision problem. Currently, many research communities have proposed deep learning techniques to automate security tasks, including anomalous detection, malicious link prediction, and intrusion detection in OSN. Notably, this article describes how deep learning makes the OSN security technique more intelligent for detecting malicious activity by establishing a classifier model.
PEMODELAN DETEKSI PENYAKIT SIROSIS HATI DENGAN MENGGUNAKAN JARINGAN SYARAF TIRUAN Fajar Y Zebua; Sri Hasta Mulyani; Marselina Endah H.
SISFOTENIKA Vol 2, No 2 (2012): SISFOTENIKA
Publisher : STMIK PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (361.456 KB) | DOI: 10.30700/jst.v2i2.71

Abstract

Abstract : Liver (liver) is the largest organ in the human body. In the hearts of many important processes occur in human life. Unfortunately, although the liver is essential for life, the liver is also susceptible to disease. Cirrhosis of the liver is one type of heart disease. Cirrhosis of the liver is a common chronic liver disease, caused by damage to the liver. Our research was made of a disease modeling to simulate using neural networks with backpropagation method to determine the causes and symptoms of liver cirrhosis. Modeling is expected to detect the disease early cirrhosis of the liver so it can be preventative or further action. Keywords: liver, cirrhosis of the liver, neural networks, backpropagation.
Efficient Fruits Classification Using Convolutional Neural Network ADNAN ADNAN ABIDIN; Hamzah Hamzah; Marselina Endah
International Journal of Informatics and Computation Vol 3 No 1 (2021): International Journal of Informatics and Computation
Publisher : University of Respati Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/ijicom.v3i1.31

Abstract

Classification of fruits is a growing research topic in image processing. Various papers propose various techniques to deal with the classification of apples. However, some traditional classification methods remain drawbacks to producing an effective result with the big dataset. Inspired by deep learning in computer vision, we propose a novel learning method to construct a classification model, which can classify types of apples quickly and accurately. To conduct our experiment, we collect datasets, do preprocessing, train our model, tune parameter settings to get the highest accuracy results, then test the model using new data. Based on the experimental results, the classification model of green apples and red apples can obtain good accuracy with little loss. Therefore, the proposed model can be a promising solution to deal with apple classification.
DeepSkin: Robust Skin Cancer Classification Using Convolutional Neural Network Algorithm Marselina Endah H.
International Journal of Informatics and Computation Vol 3 No 2 (2021): International Journal of Informatics and Computation
Publisher : University of Respati Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/ijicom.v3i2.40

Abstract

Classification of skin cancer is a growing research topic with significant challenges in the image processing. Learning algorithms for classifying a kind of skin cancer have been presented in recent articles to accelerate the diagnosis process with a rapid and accurate diagnosis. However, effective detection of skin cancer requires extensive graphical data. Inspired by deep learning successful results in computer vision, A Convolutional Neural Network (CNN) is proposed in this study to build a skin cancer classification model. We conduct this experiment by collecting massive skin cancer datasets, conducting pre-processing, training models, and evaluating the performance. Based on the experiment result, the benign and malignant classification model can obtain a good accuracy with a slight loss. Therefore, the results obtained reached an accuracy of 54%.
Modern Web Semantic Application For Selling Fish Marselina Endah
International Journal of Informatics and Computation Vol 2 No 1 (2020): International Journal of Informatics and Computation
Publisher : University of Respati Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/ijicom.v2i1.26

Abstract

Betta fish is famous as a fighter fish with a difference between betta fish with other types of fishes. Many people are interested in buying the Betta fish with a beautiful tail and attractive color with a giant belly. Thus, the paper aims to build a Semantic Web with API of delivery services. We design a system to enable and increase the betta fish sales of the Yogyakarta Community, Indonesia. We construct an application with REST of a web semantics to retrieve various data, including places and shipping cost of items to enable buyers to estimate fish prices and shipping costs.
Re-Fake: Klasifikasi Akun Palsu di Sosial Media Online menggunakan Algoritma RNN Putra Wanda; Marselina Endah Hiswati; Mohammad Diqi; Romana Herlinda
Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (SENASTINDO) Vol 3 (2021): Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo)
Publisher : Akademi Angkatan Udara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (265.653 KB) | DOI: 10.54706/senastindo.v3.2021.139

Abstract

Online Social Network (OSN) is an application that enables public communication andinformation sharing. However, fake accounts on OSN can spread false information with unknown sources. It is a challenging task to detect malicious accounts in a large OSN system. The existence of fake accounts or unknown accounts on OSN can be a serious problem in maintaining data privacy. Various communities have proposed many techniques to deal with fake accounts on OSN, including rules-based black-and-white techniques to learning approaches. Therefore, in this study we propose a classification model using RNN to detect fake accounts accurately and effectively. We carried out this research in several steps, including collecting the dataset, pre-processing, extraction, training our model using RNN. Based on the experimental results, our proposed model can produce higher accuracy than conventional learning models.
INOVASI KAMPUNG KOMPLEMENTER BERBASIS TEHNOLOGI SEBAGAI UPAYA MENINGKATKAN KETAHANAN KELUARGA PADA MASA PANDEMI COVID-19 Rahayu Widaryanti; Muflih Muflih; Marselina Endah Hiswati
Jurnal LINK Vol 18, No 2 (2022): NOVEMBER 2022
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat, Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (566.828 KB) | DOI: 10.31983/link.v18i2.9119

Abstract

Ketahanan keluarga dapat dioptimalkan salah satunya dengan pemafaatan terapi komplementer, namun terapi ini kurang diketahui oleh masyarakat. Selain itu melihat kemajuan tehnologi dan mudahnya akses internet di Desa Tirtomartani namun diperlukan informasi secara menyeluruh pada media edukasi tentang terapi komplementer. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk membentuk kampung komplementer dengan konsep pengembangan terapi komplementer berbasis komunitas atau wilayah sehingga diharapkan dapat lebih dekat dengan masyarakat agar dapat dimanfaatkan secara optimal. Metode kegiatan berupa pelatihan kader komplementer sebagai motor penggerak kampung komplementer serta melakukan inovasi dengan mengoptimalkan teknologi digital untuk media edukasi terapi komplementer, selain itu dilakukan pendampingan dan monitoring serta evaluasi yang dilakukan secara berkala untuk keberlangsungan dari program kampung komplementer. Hasil dari kegiatan ini adalah terbentuknya kampung komplementer serta peningkatan pengetahuan, wawasan dan keterampilan masyarakat mengenai terapi komplementer untuk meningkatkan derajat kesehatan yang dapat diterapkan pada individu, keluarga maupun masyarakat. Mitra memperoleh peningkatan pengetahuan pada kategori baik dengan rata-rata 50,66% dan penurunan pengetahuan dengan kategori kurang dari pengetahuan sebelumnya yaitu 17,71%.