Toxic relationship is one example of how then a problem that affects a person's relationship with his partner. This is usually indicated by a sense of competition from within the individual and the absence of cohesiveness. The purpose of this paper is to provide a better understanding of the self-acceptance of toxic victim relationships in fostering mental health, the author is also associated with a toxic victim case study entitled "An overview of acceptance of violence in early adults who are victims of dating violence", which includes an overview of how the attitudes and behavior of victims in accepting violence in dating and also the factors that influence it. The method in this research is descriptive research, where the researcher conducts an in-depth exploration of programs, processes, events, and activities of one or more people using a case study approach by finding a number of adult women who have experienced sexual experiences.
Identifying beef manually has some drawbacks because human visual has limitations and there are differences of human perception in assessing object quality. Several researches developed beef quality assessment methods based on image feature extraction. However, not all features support for obtaining the classification results that have high accuracy. The efficiency will be achieved if the classification analyzes only the relevant features. Therefore, a feature selection process is required to select relevant features and to eliminate irrelevant features to obtain more accurate and faster classification results. One of the feature selection algorithms is the F-Score which is a simple technique that measures the discrimination of two sets of real numbers. The features with the lowest ranking from the F-Score will be eliminated one by one until the most relevant features are obtained. The test is carried out by analyzing the classification results in the form of sensitivity, specificity, and accuracy values. The results of this research showed that by using the F-Score feature, the most relevant features for the classification of freshness level of local beef are obtained using the K-Nearest Neighbor (KNN) method. These features include the average color intensity R and standard deviation with a sensitivity of 0.8, a specificity of 0.93, and an accuracy of 86%. Keywords: Classification, Fiture Selection, F-Score, K-Nearest Neighbor, Local beef
Desa Paduan Rajawali merupakan salah satu sentra penghasil Rosella di Kabupaten Tulang Bawang. Produk yang dihasilkan hanya ditangani dengan cara yang sederhana. Akibatnya produk mengalami kendala untuk dapat dipasarkan secara global. Selain itu, pemasaran produk Desa hanya sebatas pameran produk yang di adakan pada tingkat lokal dan provinsi sehingga kegiatan yang dilakukan oleh Kelompok Wanita Kreatif Rosella ini tidak signifikan meningkatkan pendapatan desa. Pengabdian ini bertujuan untuk meningkatkan produktifitas produk olahan Rosella melalui penambahan varian produk Rosella dan pengemasan produk. Metode yang digunakan untuk mendukung kegiatan ini ialah dengan memberikan edukasi dan pendampingan tentang pengolahan produk-produk hasil pertanian khususnya Rosella. Materi kegiatan pengabdian sangat sesuai dengan kebutuhan mitra dan pelaksanaan kegiatan secara berkelanjutan yang ditunjukkan dengan 80% peserta memberikan penilaian sangat setuju (SS) dan 60% peserta menyatakan bahwa peralatan yang digunakan sesuai kebutuhan dan mudah untuk digunakan. Mitra juga menyambut dengan baik disain logo yang diberikan, saran pengemasan, tambahan produk, serta pemasaran online yang telah dibuatkan. Mitra sangat antusias terhadap kegiatan ini dan berharap dilakukan pendampingan serupa
Kata kunci: diversifikasi, produk Rosella, Rosella
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