Since being confirmed by WHO, the status of COVID-19 outbreak has become a global pandemic, the number of cases has been confirmed positive, cured, and even death worldwide. Artificial intelligence in the medical has given rise to expert systems that can replace the role of experts (doctors). Tools to detect someone affected by COVID-19 have not been widely applied in all regions. Banyumas Regency, Indonesia is included confirmed region of COVID-19 cases, and it’s difficult for someone to know the symptoms that are felt whether these symptoms include indications of someone ODP, PDP, positive, or negative COVID-19, and still at least a referral hospital handling COVID-19. Expert system with certainty factor can help someone make a self-diagnose whether including ODP, PDP, positive, or negative COVID-19. This expert system provides ODP diagnostic results with a confidence level of 99.96%, PDP 99.99790%, positive 99.9999997%, negative 99.760384%, and the application runs well on Android OS

Since ancient times until now herbal plants have been used for treatment and have been applied in the world of health to this day. All parts of the plant can be used as medicine, one of which is the leaves. However, there are still many people who are not familiar with the medicinal leaves. This is because the leaves at first glance look almost the same, making it difficult to tell them apart. Actually, if you look closely, the leaves have characteristics that can be distinguished from one leaf to another. The purpose of this study is to classify images of herbal leaf species using the Backpropagation Neural Network (BNN) algorithm with shape feature extraction utilizing metric and eccentricity parameters. BNN is a type of supervised learning algorithm that consists of several layers and uses an error output as a modifier of the weight value backwards. In this study, the extraction of shape features that become input for the BNN algorithm will go through morphological operations to improve the segmentation results so that the classification results are more optimal. The test results show an accuracy of 88.75%, this shows the developed model can classify herbal leaves well

Primates are the object of increased research recently. Experiments on non-human-primates (NHP) can determine their psychological level. NHP Macaca fascicularis is a primate that lives socially with a social hierarchy. Alpha-male becomes the leader of the group. Beneficial access is higher in alpha-male, against the conflicts to be initiated for certain interests. This study provides an overview of alpha-male aggressiveness in groups based on psychological stressors obtained during field observations. The research was conducted at Mbah Agung Karangbanar Religious Tourism Park, Central Java, Indonesia, group-size of 12 adult male, 14 adult female, 8 sub-adult male, 9 sub-adult female, 10 juvenile male, 14 juvenile female, and 6 infants. Aggressive observation (sampling-rules) is behavioral-animal sampling on alpha-male individuals and one individual for each age group as the subject of observation. Observations were carried out for 8 days with one-zero sampling. Adult male and alpha-male aggressive behavior ranked the highest during observation, that psychological stressors obtained.

Program Kuliah Kerja Nyata (KKN) merupakan bentuk implementasi kegiatan pengabdian pada masyarakat dalam rangka perwujudan Tri Dharma Perguruan Tinggi. Program kegiatan mengutamakan praktek konkret di masyarakat, sehingga diharapkan dapat memberikan manfaat untuk masyarakat sekitar. Akhir Desember 2019 awal mula Covid-19 ditemukan di Wuhan, Cina. Tanggal 26 Januari 2020, lebih dari 2000 kasus infeksi pada manusia, dan Covid-19 dikonfirmasi dapat menular dari manusia ke manusia (zoonosis) dan WHO telah menetapkan sebagai pandemi global. Bentuk peran serta aktif mahasiswa pada kegiatan ini selagi pandemi Covid-19 di Universitas Jenderal Soedirman (UNSOED) yakni dengan Kuliah Kerja Nyata Tematik Pencegahan dan Penanggulangan Covid-19 yang diselenggarakan Lembaga Penelitian dan Pengabdian Kepada Masyarakat UNSOED. Kegiatan ini dilaksanakan oleh mahasiswa UNSOED di lokasi mahasiswa tinggal. Tujuan penelitian ini untuk memperkuat pencegahan penyebaran penyakit Covid-19 dan menanamkan sifat empati terhadap Covid-19 dalam bentuk kegiatan pencegahan penyebaran Covid-19 dengan aplikasi android untuk deteksi mandiri Covid-19. Pelaksanaan kegiatan dilakukan di RT 01 RW 02 Sokanegara Purwokerto Timur Kabupaten Banyumas dengan jumlah responden 61 orang, uji coba aplikasi 17 orang. Hasil yang didapatkan yakni warga dapat melakukan diagnosa mandiri Covid-19, informasi terkait Covid-19 dan kaitannya dapat diketahui masyarakat, kepedulian pada warga menjadi meningkat, dan respons warga merasa puas dengan hasil deteksi aplikasinya. Kata Kunci: Android, Covid-19, KKN Tematik, Pencegahan, Penularan;

Dijkstra is a greedy algorithm that gives a choice of several available shortest routes and then provides a solution. The application of Dijkstra's Algorithm in everyday life is very diverse. This study collects research results regarding the application of Dijkstra's Algorithm to solve everyday problems such as the shortest path problem, this mini-review paper can explain the study of Dijkstra's Algorithm for various things, including solving bi-objective shortest routes, multi-objective routes, emergency evacuation, Dijkstra's graph, the connection between LBS features, best route distribution, and fuzzy solution.