Judul: Spillover Effect of Air Pollution and Its Economic Loss in Jabodetabek Urban Agglomeration
Abstrak: High levels of PM2.5 as an indicator of poor air quality represent a prevalent concern in urban agglomerations, and their spatial effects can worsen this issue. As urban centers expand and become more interconnected, the adverse effects of PM2.5 could impede efforts to control pollution and increase public health expenses across regions. This research delves into the influence of spillover PM2.5 levels in Jabodetabek, focusing on the spatial interdependencies. The findings uncover substantial spillover impacts from neighboring cities, revealing an 8.15% rise in PM2.5 levels in a city when surrounding cities experience a 10% increase in PM2.5 levels. This spillover effect has the potential to lead to an average increase in hospital admissions for cardiovascular and respiratory ailments from 13 cities to 95 average admissions and 6 average premature mortality or incur additional health costs of 1.384,911 million IDR and 17.652,38 million IDR of future income losses based on data for 2022. The study also demonstrates that PM2.5 levels in Jabodetabek are influenced by transportation, secondary industrial activities, green spaces, and the frequency of rainy days, with spillover effects originating from these significant contributors. Furthermore, the research indicates that economic growth caused by industrial sector transformation can have a beneficial effect on air quality in the city and its neighboring areas.
Keyword: cost of illness, PM2.5, additional health cost, health cost assessment, spatial effect

Judul: Influence of Meteorological Factors on PM2.5 and PM10 Concentration Fluctuation (Case Study: Jakarta)
Abstrak: Jakarta sebagai ibukota negara Indonesia merupakan salah satu kota dengan aktivitas penduduk, transportasi dan industri yang tinggi. Hal ini mendorong semakin tingginya pencemaran udara di Jakarta. Terdapat berbagai faktor yang mempengaruhi pencemaran udara, salah satunya faktor meteorologi. Faktor meteorologi dapat mempengaruhi fluktuasi konsentrasi polutan di udara, seperti suhu udara, kelembaban, curah hujan, radiasi, kecepatan dan arah angin. Penelitian ini bertujuan untuk mengetahui fluktuasi konsentrasi PM2.5 dan PM10 di Jakarta serta interaksi antara faktor meteorologi dengan konsentrasi partikulat. Interaksi antara faktor meteorologi dan konsentrasi partikulat ditunjukkan melalui korelasi pearson dan menggunakan package openair di RStudio. Hasil penelitian menunjukkan konsentrasi PM2.5 dan PM10 di Jakarta memiliki puncak pada siang hari, menurun saat menuju sore hari dan kembali meningkat pada saat menuju malam hari. Interaksi antara faktor meteorologi dengan konsentrasi PM2.5 dan PM10 di Jakarta berkorelasi positif dengan suhu dan radiasi, serta berkorelasi negatif dengan kelembaban, curah hujan dan kecepatan angin. Secara bulanan konsentrasi PM di bulan kering lebih tinggi daripada di bulan basah., Jakarta as the capital city of Indonesia is one of the cities with high population, transportation, and industrial activity. This has led to higher air pollution in Jakarta. There are various factors that influence air pollution, one of which is meteorological factors. Meteorological factors will affect the fluctuation of pollutant concentrations in the air, such as air temperature, humidity, rainfall, radiation, wind speed and wind direction. This study aims to see the fluctuation of PM2.5 and PM10 concentrations in Jakarta and the interaction between meteorological factors and PM concentrations. The interaction between meteorological factors and PM concentrations was shown through Pearson correlation and using the openair package in RStudio. The results showed that the concentrations of PM2.5 and PM10 in Jakarta had a peak during the day, decreases towards the afternoon and increases towards the evening. The interaction between meteorological factors and concentrations of PM2.5 and PM10 in Jakarta has a positive correlation with temperature and radiation, and negatively correlates with humidity, rainfall and wind speed. On a monthly basis, PM concentration will increase in dry months and decrease in wet months.
Keyword: concentration, correlation, meteorology, PM2.5, PM10

Judul: Konstruksi Algoritme Aritmetik GF(3m) dengan Operasi Dibangkitkan dari Sifat Grup Siklik
Abstrak: Perkembangan teknologi informasi memudahkan seseorang untuk mendapatkan informasi yang dibutuhkan. Untuk mengamankan informasi yang sifatnya rahasia diperlukan suatu teknik pengamanan. Teknik tersebut dapat dilakukan dengan mengamankan baik secara fisik maupun non-fisik. Salah satu pengamanan secara non fisik adalah dengan mengenkripsi informasi rahasia menggunakan teknik kriptografi.
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