Plant disease is one of the problems in the world of agriculture. Early identification of plant diseases can reduce the risk of loss, so automation is needed to speed up identification. This study proposes a custom-designed convolutional neural network (CNN) model for plant disease recognition. The proposed CNN model is not complex and lightweight, so it can be implemented in model applications. The proposed CNN model consists of 12 CNN layers, which consist of eight layers for feature extraction and four layers as classifiers. Based on the experimental results of a plant disease dataset consisting of 38 classes with a total of 87,867 image records. The proposed model can get high performance and not overfitting, with 97%, 98%, 97% and 97%, respectively, for accuracy, precision, recall and f1-score. The performance of the proposed model is also better than some popular pre-trained models, such as InceptionV3 and MobileNetV2. The proposed model can also work well when implemented in mobile applications.

Convolutional neural network (CNN) is a deep learning (DL) model that has significantly contributed to medical systems because it is very useful in digital image processing. However, CNN has several limitations, such as being prone to overfitting, not being properly trained if there is data duplication, and can cause unwanted results if there is an imbalance in the amount of data in each class. Data augmentation techniques are used to overcome overfitting, eliminate data duplication, and random under sampling methods to balance the amount of data in each class, to overcome these problems. In addition, if the CNN model is not designed properly, the computation is less efficient. Research has proved that data augmentation can prevent or overcome overfitting, eliminating duplicate data can make the model more stable, and balancing the amount of data makes the model unbiased and easy to learn new data as evidenced through model evaluation and testing. The results also show that the custom convolutional neural network model is the best model compared to ResNet50 and VGG19 in terms of accuracy, precision, recall, F1-score, loss performance, and computation time efficiency

Phishing is a crime that uses social engineering techniques, both in deceptive statements and technically, to steal consumers' personal identification data and financial account credentials. With the new Phishing machine learning approach, websites can be recognized in real-time. K-Nearest Neighbor(KNN) and Naïve Bayes (NB) are popular machine learning approaches. KNN and NB have their own strengths and weaknesses. By combining the two, deficiencies can be covered. So this study proposes to combine K-Nearest Neighbor with Naïve Bayes to classify phishing websites. Based on the results of the accuracy test of the combination of KNN with k=8 and Naïve Bayes, a maximum accuracy of 93.44% is produced. This result is 6.25% superior compared to using only one classifier.

Pendahuluan: Sanitasi Total Berbasis Masyarakat (STBM) merupakan tanda peningkatan kesehatan masyarakat menuju kemandirian higiene dan sanitasi yang maksimal. Pelaksanaan program STBM terdiri dari lima pilar, yaitu: hentikan buang air besar sembarangan (BABS), cuci tangan pakai sabun (CTPS), bersihkan air dan makanan rumah tangga (PAM RT), pembuangan limbah cair rumah tangga yang benar dan aman. Tujuan: Untuk mengetahui Hubungan Tingkat Pengetahuan dengan Pelaksanaan Sanitasi Total Berbasis Masyarakat (STBM) Di Desa Rajeg Mulya Tahun 2023. Metode: Metode penelitian ini adalah penelitian deskriptif dan analisis kuantitatif dilakukan dengan menggunakan metode cross sectional. Teknik Sampel: Teknik yang digunakan adalah total sampling. Jumlah Sampel: Sampel berjumlah 42 responden. Analisis data: Analisis data menggunakan chi square. Hasil Penelitian: Hasil penelitian yang dilaksanakan di Desa Rajeg Mulya, bahwa ada hubungan antara tingkat pengetahuan dengan pelaksanaan Sanitasi Total Berbasis Masyarakat (STBM) memiliki p-value sebesar (0.000). Pengetahuan masyarakat tentang pelaksanaan program Sanitasi Total Berbasis Masyarakat (STBM) di desa Rajeg Mulya masih kurang.
 
Kata Kunci: Tingkat Pengetahuan, Pelaksanaan Sanitasi Total Berbasis Masyarakat (STBM).

Contraception as a form of prevention of pregnancy is one of the essences of family planning problems (KB) officially used by the National Family Planning Coordinating Board (BKKBN). One type of effective contraception that mothers choose is the type of injectable contraception. To determine the effect of DMPA injection use on weight gain in family planning acceptor in Puskesmas Tompobulu Gowa. Analytical observational with cross sectional study approach. This research was conducted at Puskesmas Tompobulu Kab. Gowa on 31 July - 31 August 2017. The sample in this study is total sampling with as many as 51 respondents of the instrument in this study is using a questionnaire. Statistical test using computerized system by using chi-square test at significance level 95% (? = 0,05). The Result of this research is p-value = 0.000 with significance level <0,05. This shows that there is significant influence between the duration of contraceptive use to weight gain. And obtained by p-value = 0,002 with significance level <0,05 this shows there is significant influence of physical activity activity to weight gain. The longer duration of use of DMPA injection will be more at risk of obesity on contraceptive injectors. The fewer activities performed by the KB acceptor will be more at risk of weight gain. This research is expected to be useful and become input for practice area in giving injection contraception service and observe acceptor body weight every time at visit.

The background of this research, there are various kinds of problems related to the professional competence of certified teachers. By strengthening professional competence, it is hoped that the competence of certified teachers will increase. The purpose of this study was to analyze and describe: 1) Strengthening the competence of certified teachers in SD Region IV Cluster Rajadesa District, Ciamis Regency; 2) Obstacles faced by certified teachers in strengthening their professional competence in SD Region IV Group, Rajadesa District, Ciamis Regency; 3) Efforts made by certified teachers in strengthening their professional competence in SD Region IV Group, Rajadesa District, Ciamis Regency. The research method used is descriptive with a qualitative approach. Data collection techniques were carried out through interviews, observation, and documentation studies. The informants in this study included school principals and certified teachers. The results of the study show that 1) Strengthening the professional competence of certified teachers in SD Region Gugus IV Rajadesa District, Ciamis Regency in terms of the aspect of professional competence is generally in the criteria of being effective so that it can be said to be good. However, there are aspects that need to be improved, namely the use of technology-based media and learning resources, understanding research in learning and participating in implementing student development; 2) There are obstacles faced by certified teachers in strengthening their professional competence in SD Region IV Group, Rajadesa District, Ciamis Regency; 3) There are efforts made by certified teachers in improving their professional competence in SD Region Cluster IV, Rajadesa District, Ciamis Regency.

Saat ini, perkembangan budidaya ikan nila dilakukan menggunakan variasi sistem budidaya dengan berbagai macam media seperti kolam tanah, kolam beton, kolam plastik, kolam air deras, dan jaring apung serta berbagai strategi budidaya seperti ekstensif, semi intensif atau intensif, monokultur, polikultur, monoseks dan campuran di lingkungan yang berbeda baik air tawar maupun air payau

Penyediaan pakan ternak unggas di Indonesia saat ini masih mengalami kendala, satu diantaranya adalah masih tingginya komponen penyusun ransum berupa pakan import. Tentu saja hal ini secara langsung berimplikasi terhadap tingginya harga pakan pada tataran konsumen. Sampai saat ini sekitar 80% dari seluruh komponen penyusun ransum unggas merupakan produk import seperti, corn gluten meal (CGM), bungkil kedelai, meat bone meal  (MBM) dan tepung ikan. Bungkil kedelai sampai saat ini masih merupakan komponen utama sumber protein nabati pada pakan unggas di Indonesia.

Udang Vannamei  merupakan salah satu komoditas perikanan unggulan di Indonesia. Hal tersebut disebabkan karena memiliki nilai ekonomis tinggi, pertumbuhan yang relatif cepat, serta memiliki kebiasaan untuk hidup di kolom perairan sehingga dapat ditebar dengan kepadatan yang lebih tinggi. Salah satu provinsi yang mempunyai potensi dalam pengembangan sektor perikanan tangkap maupun perikanan budidaya adalah provinsi Aceh, sektor perikanan adalah sektor andalan provinsi Aceh, lebih kurang 55% penduduk Aceh bergantung pada sektor ini baik secara langsung maupun tidak langsung.
Kata kunci: Perbandingan, Keungulan, Tambak.

Daya tarik ikan hias dapat diukur dari warna yang cemerlang, bentuk, kelengkapan fisik, perilaku serta kondisi kesehatan atau staminanya (Lesmana, 2007). Semakin cerah warna suatu jenis ikan, maka semakin tinggi nilainya. Warna indah pada ikan Komet (Carassius auratus) disebabkan oleh kromatofor (sel pigmen) yang terletak pada lapisan epidermis. Penambahan bahan pakan pembawa pigmen dalam pakan dapat meningkatkan konsentrasi dan distribusi kromatofor pada jaringan kulit yang pada akhirnya akan meningkatkan kecerahan warna