Publication Search

There are many archives owned by AMNI Maritime University in Semarang. The archiving system carried out at the AMNI Maritime University Semarang is still not well organized and neat because it is only based on archive classification, so if you have to look for archives such as archive numbers or archive dates, you will experience problems because you have to find the files needed one by one in the filing cabinet. The sequential search algorithm can be applied to the search for employee document numbers at the Maritime University AMNI Semarang and works well as planned. The employee document archive information system at the Maritime University AMNI Semarang can be used to manage the employee document archive more optimally, controlled, well organized and maintained so that the archive is not easily damaged   Keywords: Archives, AMNI Maritime University Semarang, Sequential Search Algorithm

Aging or the process of getting old is a process of disappearing or decreasing health functions in meeting the needs of life. Aging is characterized by sagging skin, gray hair, poor hearing, and worsening vision.1 The WHO classification of elderly (elderly) includes middle age (45-59 years), elderly (60-59 years). 74 years), old (75 – 90 years), very old (above 90 years).2  

In 2018, Basic Health Research (Riskesdas) data showed that the prevalence of wasting in children under five in Indonesia was 10.2%, while in the age group under two years (baduta) it was higher, namely 11.7%. Nutrition Status Monitoring Data for 2017 also shows that the prevalence of wasting in under-fives is higher, which is 12.8% when compared to the toddler group, which is 9.5% (Ministry of Health RI, 2018). Based on the WHO classification, wasting in the underdog group in Indonesia is categorized as a serious public health problem, with a prevalence in the range of 10-14%. Malnutrition that occurs in 1,000 HPK, besides being at risk of inhibiting physical growth (failure to thrive) and being susceptible to disease (metabolic disorders: DM. Hypertension, obesity), also inhibits cognitive development (motor cognitive impairment) which will affect the level of intelligence and productivity of children in the future.    

Main Objective: This research targets AP sizing entrenched on image structure to raise denoising performance using an improved method for classifying image pixels. Background problem: Digital images may be blended by noise while the addition or communication process, affecting the authentic image signal. Image noise can cause problems at several stages of image processing equally image distribution. Accordingly, image denoising is a significant activity to recover the initial clean image signal from the detected noise signal. Novelty: The proposed WAV method has been refined and improved regarding the classification scheme, and the APS, and the classification results can be used as a mask on the noise image to fix identical patches. Research Method: This study proposes a WAV reprojection algorithm, with the PS being set dynamically entrenched on the image structure. Image structures are consistently taken with an upgraded and enhanced analysis method entrenched in the structure tensor matrix. Analysis results are also used to develop the analysis of comparable patches in images. Finding/Result: Empirical outcomes present that the noise cancellation work of the suggested method is better than the authentic WAVRA, along with several other modifications of the NLMA. Conclusion: In intensity profiles, the proposed method mostly has fewer changes to the original image values than other methods, thus, this method can be continued again to color images, and can also be applied to various types of data such as medical images.   Keywords: Weighted Average (WAV), Noise Cancellation Image, Non-Local Means (NLM), Adaptive Patch