Judul: Prediksi Awal Musim Hujan Menggunakan Adaptive Neuro-Fuzzy Inference System pada Studi Kasus Kabupaten Indramayu
Abstrak: Climate anomalies cause the onset of the rainy season changes in Indonesia. In agriculture, the change complicates precise determination of cultivation. Incorrect determination increases crop failure due to droughtness. As one of the national granaries, rice production in Indramayu highly depends on the climate. This research aims to predict the onset of the rainy season in Indramayu using adaptive neuro-fuzzy inference system (ANFIS). The data used in this study are southern oscillation index (SOI) from Mei to August as predictor and the onset of the rainy season from 1971 to 2010. SOI data was reduced to 7 intervals. There are 5 rain regions in Indaramayu, and the average rain region was predicted using ANFIS model for each region. The prediction result was evaluated using the root mean squared error and the squared correlation coefficient. The best prediction result was obtained at interval [-7,7] with an average of the root mean squared error of 19.5 days and a squared coefficient correlation of 0.33.
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Judul: Peramalan Panjang Musim Hujan Menggunakan Adaptive Fuzzy Inference System
Abstrak: Climate is a component of the ecosystem and an important natural factor which is dynamic and difficult to be controlled. The dynamic and diverse characteristics of climate need more accurate analysis to make climatic information be more useful in the agriculture sector. Uncertain climatic condition could be a limiting factor for crops productivity. Technically, in crops cultivation all climatic elements almost affect crops productivity and management. One of the solutions for this problem is by predicting the length of the rainy season to minimize the level of crops failure in agricultural product by using adaptive fuzzy inference system (ANFIS) method. This research used the Southern Oscillation Index (SOI) data and the onset data with the length of the rainy season of the previous year as the predictors to predict length of the rainy season of the current year. This research is focused at the Indramayu district. As the predictive model, we use adaptive neuro fuzzy system. Five models were trained for each of the five regions used, as well as one model for the average data of the five regions. The best prediction was obtained from the model on the fifth region. On this region, the correlation coefficient between the observed values and the predicted values is 0.69 and the RMSE value is 4.09 (measured in tens of days). From this result, we conclude that the performances of the models were still not satisfactory.
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Judul: Prevalence of Bird Lice on Rock Pigeon (Columba livia) in 99Wonderland Park, Selangor, Malaysia
Abstrak: Rock Pigeon (Columba livia) have coexisted with humans for thousands of years and are used for various purposes such as food and in sports. Rock pigeons may have the potential to be infested with a wide range of ectoparasites, which can have a significant impact on their life cycle. This study aims to measure the prevalence of Columba livia with bird lice in 99Wonderland Park, Selangor, Malaysia in the year 2020 and to ascertain the impact of bird lice on the health of these infested birds. Data were collected from clinical records for the month of January to December in the year 2020 from 99Wonderland Park, Selangor, Malaysia. Lice were identified in 42 of the 80 Rock pigeons examined so, the overall prevalence of lice infestations was 52.5%. The prevalence of ectoparasites was found to be higher in young Rock pigeons (60.4%) as compared to adult Rock pigeons (37.4%). Columbicola columbae (wing lice) and Colpocephalum turbinatum (body lice) are two species of lice that have been detected. Body lice were more prevalent in young Columba livia birds at 47.6% whereas wing lice were more prevalent in adult Columba livia birds at 16.7%. Most of the lice were found in the thorax and abdomen area followed by the head and neck area., Merpati Batu (Columba livia) telah hidup berdampingan dengan manusia selama ribuan tahun dan digunakan untuk berbagai keperluan seperti makanan dan olahraga. Merpati batu dapat terinfestasi dengan berbagai ektoparasit, yang dapat berdampak signifikan pada siklus hidup mereka. Penelitian ini bertujuan untuk mengetahui prevalensi Columba livia dengan kutu burung di 99 Wonderland Park, Selangor, Malaysia pada tahun 2020 dan untuk memastikan dampaknya terhadap kesehatan burung yang terinfestasi. Data dikumpulkan dari catatan klinis dari bulan Januari hingga Desember tahun 2020 dari 99Wonderland Park, Selangor, Malaysia. Kutu diidentifikasi pada 42 dari 80 merpati batu yang diperiksa sehingga, prevalensi keseluruhan infestasi kutu adalah 52,5%. Prevalensi ektoparasit ditemukan lebih tinggi pada merpati batu muda (60,4%) dibandingkan dengan merpati batu dewasa (37,4%). Columbicola columbae (kutu sayap) dan Colpocephalum turbinatum (kutu badan) adalah dua spesies kutu yang telah ditemukan. Kutu badan lebih banyak ditemukan pada burung Columba livia muda sebesar 47,6% sedangkan kutu sayap lebih banyak ditemukan pada burung Columba livia dewasa sebesar 16,7%. Sebagian besar kutu ditemukan di daerah dada dan abdomen diikuti daerah kepala dan leher.
Keyword: Columba livia, prevalence, ectoparasite, wing lice, body lice, Columba livia, prevalensi, ektoparasit, kutu sayap, kutu badan