Abstract. Purpose: This desire for high resolution stems from two main application areas, namely improving pictorial information for human interpretation and assisting automatic machine perception in representing images or videos. Image resolution describes the detail contained in an image, the higher the resolution, the more detail there is. The resolution of a digital image can be classified into various types, namely pixel resolution, spatial resolution, temporal resolution, and radiometric resolution. In this context, we are interested in spatial resolution.Methods: Elements of a digital image consist of a collection of small images called pixels. Spatial resolution refers to the pixel density of an image and is measured in pixels per unit area. A quality digital image is determined by the size of the resolution it has. A low resolution or low-resolution is a drawback of a digital image because the information contained in the image means little compared to a high-resolution image.Result: Therefore, in this study, a digital image processing program was created in the form of Image Super-Resolution with the Convolutional Neural Network method to utilize low-resolution images to produce high-resolution images. With a fairly short training process, namely 6050 datasets with 100 CNN epochs, the average PSNR image is 5% higher.Novelty: Image quality can be improved by changing the parameters in the CNN method so that image quality can be improved.

Soil is the most crucial factor in the management of agriculture. To measure and monitor soil health status, soil health assessments can be undertaken in the management of agricultural land that aims to determine whether the land is being or will be used in an area in a healthy condition and can perform its functions properly. The results of soil health assessments can also be used as a reference for agricultural land managers to set planning targets and implementing systems to practice soil health management by reducing identified constraints, and assisting land managers in searching agricultural land. Comprehensive soil health assessments can be undertaken based on soil health indicators which consist physical, chemical, and biological properties of the soil. But there is no definite standard for assessing soil health comprehensively, and people who know and understand soil health indicators are still minimal. The number of indicators in soil health assessments can also make it difficult for experts to assess the health of the soil. Therefore, it is needed a Decision Support System of Soil Health Assessment Using Simple Additive Weighting Method so that with this application, it is expected to assist the community especially those involved in agriculture in assessing soil health easily, and quickly, and obtain land health status of an area based on predetermined soil health indicators. Abstrak  Tanah merupakan faktor yang paling menentukan dalam

Geographic information systems are used for spatial data processing. Data processing results from the system can be used as a tool to determine the condition of an area. By using several components one of which is coloring in geographical conditions in the region. The process of combining several colors to form a composite image that can show the clarity of the object. The results obtained from this study reveal the clarity of objects in the Banyumas Regency region by using levels in the band composition in spatial imagery

The occurrence of feline lower urinary tract disease (FLUD) in Indonesia has not been widely reported. However, the incidence of the disease has increased due to dietary cat patterns. The diet habitually consists of commercial dry food only, without wet food, such as meat. FLUD often affects certain breeds of cats. Surgical therapy is the first option to remove kidney stones; however, rural areas in Indonesia often lack animal surgical facilities. This condition requires alternative therapies to cure the disease. A one-year-old male Angora cat was brought to Rumah Satwa veterinary clinic in Tanah Datar, Indonesia, for examination, with a history of urination difficulties or dysuria, pain in the abdomen when being handled, and lack of desire to mate. A macroscopic examination of urine showed a cloudy and dense appearance. The ultrasound examination revealed a stone (struvite) and a thickening of the urinary bladder wall. The angora cat was diagnosed with obstructive FLUD caused by urolithiasis. A capsule containing 125 mg Keji Beling (Strobilanthes crispus, Bl) extract was administered to the cat once daily to aid the struvite stone dissolution. Keji Beling is a herbal plant easily found in Indonesia and used to treat human kidney stones. After 32 days of therapy, the clinical condition of the cat improved. The ultrasound examination did not find any stones left in the bladder. In conclusion, based on local wisdom, Keji Beling leaves can potentially be an alternative therapy for FLUD in Angora cats with certain conditions.

Perekomendasian oli secara manual, tanpa menggunakan perhitungan yang akurat cenderung bersifat subyektif serta cukup sulit mengenali karakteristik oli yang paling tepat untuk jenis motor tertentu. Proses analisis  data transaksi secara manual berdasarkan pada pengamatan akan mempengaruhi kualitas mesin. Sebagai contoh untuk memberikan rekomendasi oli terbaik bagi seorang konsumen, maka sebuah perusahaan/bengkel sepeda motor harus melihat data transaksi ganti oli yang lalu untuk mendapatkan data tentang oli yang digunakan untuk mengganti oli motor konsumen tersebut. . Penggunaan perangkat komputer dapat digunakan sebagai pendukung keputusan menjadi lebih cepat, tepat, dan akurat. Proses perekomendasian oli terbaik bagi kendaraan bermotor menggunakan metode fuzzy. Hasil perhitungan diperoleh direkomendasikan A3=0.72, A2 = 0.66, A1= 0.55, A4= 0.40.