Judul: Time Series Data Modeling of Livestock Death Due to African Swine Fever Outbreak Using the LSTM Method
Abstrak: African Swine Fever (ASF) merupakan penyakit paling mematikan yang menyerang babi dengan tingkat kematian mendekati 100%. Penyakit ASF ditularkan melalui gigitan kutu caplak yang terinfeksi, selain itu dapat juga melalui darah, cairan tubuh, dan jaringan dari babi yang terinfeksi ASF. Walaupun ASF tidak bersifat zoonosis, wabah ASF menyebabkan kerugian yang sangat besar bagi masyarakat, pemerintah, dan peternak. Langkah terpenting dalam mencegah terjadi ASF adalah melalui penerapan biosekuriti, pengawasan yang ketat, dan manajemen peternakan babi yang baik untuk daerah yang berisiko tinggi. Selain itu penerapan model prediksi kasus ASF dapat digunakan untuk mengetahui tingkat kematian di waktu yang akan datang, hal ini berguna untuk membantu pemerintah dan pihak terkait dalam proses pengambilan keputusan. Pemodelan prediksi data deret waktu dibuat menggunakan metode LSTM. Penelitian telah berhasil membuat model prediksi dan juga telah berhasil memprediksi kejadian satu minggu kedepan. Model terbaik pada penelitian ini mendapatkan nilai NRMSE sebesar 0,1428 dan nilai korelasi sebesar 0,613 dengan parameter panjang vektor input 2, jumlah neuron sebanyak 120, dan menggunakan RMSprop sebagai optimizer., African Swine Fever (ASF) is the deadliest disease that attacks pigs with a mortality rate close to 100%. ASF is transmitted through the bite of an infected tick, and through the blood, body fluids, and tissue of an ASF-infected pig. Although ASF is not zoonotic, ASF outbreaks cause enormous losses to communities, governments, and farmers. The most important steps in preventing ASF from occurring are through the application of biosecurity, close supervision, and good management of pig farms for high-risk areas. In addition, the application of the ASF case prediction model can be used to determine the death rate in the future, it is useful to assist the government and related parties in the decision-making process. Time series prediction model is made using the LSTM method. This study has succeeded in making time series prediction models and has also succeeded in predicting the future value. The best model in this study obtained NRMSE value equal to 0,1428 and a correlation value equal to 0,613 with 2 input vector length, 120 neurons, and using RMSprop as the optimizer.
Keyword: African Swine Fever, LSTM, prediction model, zoonoses

Judul: Pathological Overview of African Swine Fever (ASF) in Pigs (Sus scrofa domesticus)
Abstrak: Babi domestik merupakan salah satu ternak potensial yang semakin meningkat produksinya. Maraknya kasus African Swine Fever (ASF) mengakibatkan berbagai kerugian antara lain kerugian sosial, ekonomi, bahkan lingkungan. Berdasarkan permasalahan tersebut, perlu diketahui lebih lanjut gambaran patologi penyakit ASF. Studi kasus ini bertujuan mempelajari gambaran patologi ASF pada babi (Sus scrofa domesticus). Penelitian dilakukan dengan nekropsi pada babi, beberapa organ dan bagian diamati. Kemudian diambil sampel organ sebagai preparat histopatologi dengan pewarnaan hematoksilin eosin (HE). Perubahan dalam patologi anatomi dan histopatologi kedua ekor babi mengindikasikan kejadian ASF. Perubahan patologi anatomi seperti hemoragi pada beberapa organ, meliputi otak, kulit, kelenjar pertahanan, dan limpa sebagai organ target utama. Data ditunjang dengan pemeriksaan melalui pewarnaan HE yang menunjukkan lesio-lesio ASF. Bukti kuat ditandai heemorrhagic splenitis dan infiltrasi sel radang pada limpa sebagai tanda patognomonik ASF. Berdasarkan hasil kedua pemeriksaan tersebut, babi terinfeksi ASF dengan tipe akut., Domestic pigs are one of the potential livestock whose production is increasing. The rise of cases of african swine fever (ASF) has resulted in various losses, incluiding social, economic and even environmental losses. Based on these problems, it is necessary to know more about the pathological features of ASF disease. This case study aims to study the pathological overview of ASF in pigs (Sus scrofa domesticus). The research was carried out by necropsy on pigs, observing several parts and organs. Then organ samples were taken as histopathological preparations stained with hematoxylin and eosin (HE). Changes in the anatomical pathology and histopathology of the two pigs indicate the occurrence of ASF. Anatomical pathological changes such as hemorrhage in several organs, including the brain, skin, defense glands, and spleen as the main target organs. The data was supported by examination through HE staining which showed ASF lesions. Strong evidence also supported by hemorrhagic splenitis and infiltration of inflammatory cell of the spleen as pathognomonic signs of ASF. Based on the results of the two examinations, pigs were infected with ASF of the acute type.
Keyword: akut, ASF, histopatologi, patognomonik, patologi anatomi

Judul: Hybrid solar cells of ZnO nanoparticles/chlorophyll was modified metal ions (Zn2+ and Cu2+ )
Abstrak: Zinc Oxide (ZnO) is a n-type semiconductor with a wide the energy band (Band Gap) is 3.37 eV at room temperature and 3.34 eV at low temperature with a large exiton binding energy is 60 meV. ZnO has been synthesized by hydrothermal method, resulting in a decrease in particle size over the duration of the hydrothermal changes. Crystallographic structure of ZnO were characterized using XRD, has shown the characteristic pattern of a hexagonal wurtzite structure, the crystallite size increases to changes in particle size. Changes in particle size has also led to a change in the absorption peak of ZnO as has been demonstrated posted under test using the optical properties of UV-Vis spectrophotometer. Changes of this uptake has also led to changes in the energy band gap, which increases its band gap energy of the particle size. In electronic applications, especially in solar cells. Chlorophyll is considered less effective, because of their very nature are easily degraded as a result of several reactions which are acid, lighting and temperature. The results of the stability test using a halogen lamp 34 W/m2 for 5 hours, that the substitution of chlorophyll with metal ions Zn2+ and Cu2+ has been shown to form more stable than natural chlorophyll. The characterization of the optical properties, the combination of ZnO / chlorophyll in the form of hybrid films has led to a shift in the absorption region of ZnO becomes more widely from the UV to Visible. ZnO/chlorophyll has absorption range of 350-515 nm, ZnO / Zn-feofitin 332-401 nm and 332-632 nm for Cu-feofitin. The combination of ZnO/chlorophyll and CuSCN as a solid electrolite in hybrid solar cell, a modified chlorophyll with metal ions Zn2+ and Cu2+ has been shown to form a more stable I-V curve. It is characterized by its fill factor value greater than natural chlorophyll. Nevertheless, solar cells with natural chlorophyll has been able to produce higher efficiency values of chlorophyll were substituted.
Keyword: Hydrothermal, ZnO/Chlorophyll modified, Hybrid Solar Cell