In music there are various types of genres and every person has their own choice of the type of music they want to hear. Recommendation system is an important feature in an application, especially with the large number of choices for a particular item. With a good recommendation system, users will be helped by the suggestions given and can improve the user experience of the application. It is better provided by using collaborative filtering (CF) approach by recommending products related to one’s preferences history. However, CF approach still lacking in integrating complex users data. Therefore, hybrid technique could be the solution to polish the CF approach. Combining neural network and CF also called NCF thought to be better than CF alone. This study focuses on collaborative filtering approach combined with neural network or called neural collaborative filtering. In this study, we use 20,000 users, 6,000 songs, and 470,000 transaction ratings then predict the score using CF and NCF approach. The aim of this study is to differentiate recommendation systems with the use of CF alone and NCF. Through this research, it was found that NCF is better than user-based collaborative filtering in gather those playlist they really want to hear, but requires more time to build it.

Coronavirus disease 2019 (COVID-19) is a new emerging disease and a pandemic causing a high number of deaths. It is caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV2) and transmitted via droplets. Several countries including Indonesia had applied social distancing to reduce the disease transmission. In this study, we were using two groups, with social distancing and without social distancing represented by quarantine parameter Q. We predict the peak number in both groups using Susceptible-Infected-Recovered-Deceased (SIRD) model. The aims of this study are to compare the peak number of cases in groups with and without social distancing cases in Jakarta. This study result in a lower peak number and longer days of disease period in group with strict social distancing than in groups without social distancing, the current case number represent quarantine parameter Q 0.4 of SIRD Model. We suggest applying strict social distancing in Jakarta considering the duration, health standard, and other factors affecting COVID-19 cases.

The aim of this study was to compare the results of the lead levels obtained by two different techniques in the soil and mosses samples taken from the entire territory of the Republic of Kosovo. The atmospheric deposition of lead through the biomonitoring technique was done for the first time in Kosovo by using quartz tube flame Atomic Absorption Spectroscopy (AAS) and furnace AAS. The analytical results obtained by both techniques were very close to each other for the concentration of lead up to 0.15 mg kg^-1. Mosses were used as bioindicators due to the purpose that they take the food from the rainfall and atmospheric dust. Two types of terrestrial mosses (Pseudosclerpodium purum and Hypnum cupressiforme) and the soil, collected in June-July 2011 at 25 sites evenly distributed over the whole region of Kosovo, were used in this study. The lead concentration varies from ~ 11-416 mg kg^-1 in the soil and from ~ 3-50 mg kg^-1, DW in mosses, depending on the pollution zone. From the obtained results, we conclude that the lead levels are higher at the sampling positions near the polluted area of industry and heavy traffic.

No abstract

No abstract