Coffee Grounds and Coconut Husk in Layered Filter Treatment for Efficiency Removal and Degradation Capacity of Pollution Parameters in North Aceh Waters

Polluted estuaries can result in oxygen depletion, accumulation of toxic substances and heavy metals, and become a source of pathogens that are threaten for cultivated aquatic biota and coastal tourists. This research aims to analyze 1) pollution index; 2) status of water pollution in Bangka Jaya and Tanoh Anoe Regencies; and 3) testing the level of effectiveness of Layered Filtered Treatment (LFT) using analysis of removal efficiency and degradation capacity on water quality. LTF is a filtration media that composed of coconut husk, membrane and coffee grounds made into briquettes, LFT used to filter polluted estuary waters. The pollution parameters analyzed at Bangka Jaya were nitrate, phosphate, Escherichia coli bacteria and ammonia, while the pollution parameters at Tanoh Anoe were heavy metals Pb and Cd. The research results showed that the pollution status of Bangka Jaya estuary (A1) and Bangka Jaya coastal waters (A2) are moderately polluted, with indices at stations A1, A2 and A3 respectively is 9.19; 8.42; and 8.42. Meanwhile, the water pollution status in Tanoh Anoe estuary are heavily polluted (station B1) and moderately polluted (station B2) with the pollution index at each station being 14.07 and 9.36. The conclusion of this research is that LFT has not been proven capable of removing and degrading the pollutant parameters nitrate, phosphate, E.coli bacteria and ammonia, however the LFT method has been proven capable of increasing dissolved oxygen, stabilizing sea acid, temperature and also water salinity. LFT has also been proven to be able to prevent ocean acidification with a degradation capacity percentage of 6.60%

Sentiment Analysis of Public Opinion Towards Tourism in Bangkalan Regency Using Naïve Bayes Method

Sentiment analysis is natural language processing (NLP) that uses text analysis to recognize and extract opinions in text. Analysis is used to convert unstructured information into more structured information, also to determine whether an object has a positive, negative, or neutral tendency, and is an effort to facilitate decision making for tourism managers as a recommendation in developing tourist attractions. In this study, opinions were conducted on tourism reviews in Bangkalan using the Naïve Bayes method. This method is a machine learning algorithm to classify text into concepts that are easy to understand and provide accurate results with high efficiency. This method is proven to provide excellent results with a high level of accuracy, especially for large data, but has some drawbacks, sensitive to feature selection. Thus, a feature selection process is needed to improve classification efficiency by reducing the amount of data analyzed, with the Information Gain feature selection method. The word weighting method uses TF-IDF, while the data used comes from google maps reviews taken through web scraping, where tourist visitors provide reviews and ratings of places that have been visited. However, the large number of reviews can make it difficult for tourist attractions managers to manage them, so the process of labeling the sentiment class of the review data obtained 3649 reviews, with 2583 positive, 275 negative, and 457 neutral. Based on the test results that have been carried out using the Information Gain threshold of 0.0001, 0.0003, and 0.0007 can improve the accuracy of the Naïve Bayes model, for the best test at threshold 0.0007, with an accuracy value of 78.68%, precision 80.44%, recall 82.59%, and f1-score 82.53%, from the test results it shows that the use of information gain feature selection and SMOTE technique has a fairly good performance in classifying public opinion sentiment data on tourism in Bangkalan Regency, meaning that tourism management is good seen from the results of visitor satisfaction sentiment

SOSIALISASI PENTINGNYA MENJAGA KEBERSIHAN LINGKUNGAN PADA MASYARAKAT PASIRJENGKOL KEL. TANJUNGPURA KEC. KARAWANG BARAT KAB. KARAWANG

Sosialisasi menjaga kebersihan lingkungn pada masayarakat lingkungan pasirjengkol Rw.13 Kel. Tanjungpura adalah suatu upaya dalam rangka mengedukasi serta memupuk kesadaran dan tanggung jawab masyarakat akan pentingnya sebuah lingkungan yang yang bersih, sehat, nyaman dan lestari karena manusia dan lingkungan merupakan dua faktor yang saling mempengaruhi. Oleh sebab itu, pengenalan terhadap lingkungan beserta segala masalahnya merupakan suatu cara untuk dapat lebih menentukan fungsi dan peranan manusia dalam lingkungan hidupnya karena hal itu harus terus disosialisasikan dan ditanamkan sejak dini, mulai dari anak-anak hingga dewasa dimana pun dan kapanpun harus dibiasakan untuk selalu menjaga lingkungan yang bersih dan sehat sebagaimana agama mengajarkan bahwa kebersihan adalah sebagian dari iman. Adapun metode yang digunakandalam sosialisasi ini adalah dengan metode ceramah interaktif, tanya jawab dan praktek langsung Adapun tujuan sosialisasi ini adalah untuk memupuk, memotivasi kesadaran dan tanggung jawab masyarakat dan memberikan pemahaman tentang penting menjaga lingkungan dalam pandangan dan pemahaman agama untuk meningkatkan merubah mind set akan pentingnya menjaga kebersihan lingkungan mulai dari diri sendiri dan dari hal yang terkecil

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