1,720,964 research outputs found
Kajian Awal : Prediksi Kabut Berdasarkan Data Observasi di Wilayah Bandara Zainuddin Abdul Madjid
Full text linkThe reduction in visibility due to wet particles (fog and mist) is a phenomenon that can occur at Zainuddin Abdul Madjid Airport (ZAM). This event is quite difficult to predict using NWP models because the physical processes involved in its formation are very complex. This study aims to determine the threshold parameters that can be used as a forecasting guide to predict the occurrence of fog. The data used is from January 2024, with parameters assessed from METAR, AWOS, and Fklim71, including wind speed, temperature, dew point, cloud cover, and maximum temperature. The threshold values for each parameter will be determined and tested using a dichotomous verification method to obtain the accuracy value. Based on the analysis, fog in January 2024 formed early in the morning if there was precipitation during the afternoon, with the average wind speed at night being < 1 knot, the temperature difference between maximum temperature and air temperature after sunset being > 4.5°C, and the dew point depression at 17:00 UTC being below 1°C. In January 2024, a dichotomous verification was carried out, and the result showed an accuracy of 87%. Forecasting using this method is not 100% accurate.Penurunan jarak pandang akibat partikel basah (halimun dan kabut) merupakan fenomena yang dapat terjadi di wilayah bandara Zainuddin Abdul Madjid (ZAM). Peristiwa ini cukup sulit untuk diprediksikan oleh model NWP karena proses metafisik yang terjadi dalam pembentukannya sangat kompleks. Kajian ini bertujuan untuk menentukan threshold parameter yang dapat digunakan sebagai panduan prakirawan untuk memprediksi terjadinya kabut. Data yang digunakan merupakan data pada bulan Januari 2024 dengan parameter yang dinilai adalah parameter yang terdapat pada METAR, AWOS, dan Fklim71 yakni kecepatan angin, suhu, titik embun, perawanan dan suhu maksimum. Nilai threshold dari masing – masing parameter akan dicari dan dilakukan pengujian dengan menggunakan metode verifikasi dikotonomi untuk mendapatkan nilai akurasi. Berdasarkan hasil analisis, kabut di bulan Januari 2024 terbentuk menjelang pagi hari jika ada kejadian presipitasi di siang hari, rata – rata kecepatan angin pada malam hari yakni < 1 knot, perbedaan suhu maksimum dengan suhu udara setelah matahari terbenam yaitu > 4.5 ⁰C, dan dew point depression pada pukul 17.00 UTC berada di bawah 1⁰C. Pada bulan Januari 2024 telah dilakukan verifikasi dikotonomi dengan hasil yang didapatkan akurasi sebesar 87%. Prakiraan dengan metode ini tidak 100% akurat
Prediksi Kecepatan Angin 12 Jam Kedepan Menggunakan Automatic Weather Observing System (AWOS) Berbasis Regresi Linear
Full text linkAutomatic equipment for monitoring weather conditions such as the Automatic Weather Observing System (AWOS) is urgently needed by a meteorologist for the purposes of serving aviation weather services at airports. One of the most important information besides the weather for flight services is wind speed. This study integrates AWOS and linear regression models to predict wind speed parameters for the next 12 hours. These parameters are the lowest, average, and highest wind speed. The computational load required for building and training the proposed model system is determined by the duration the computer executes the model training commands and generates predictions. The wind speed hours ahead is assumed to be influenced by the condition of the previous weather parameters. Therefore, in this study, a scheme was tested using the length of historical data of different weather parameters to predict the wind speed parameters for the next 12 hours. The predictions generated are in summary form, i.e., the lowest speed, average speed and highest speed in that period. After testing it was found that the duration of the computer to train the model is 1.2 seconds and to generate predictions is 1.1 seconds. Meanwhile, the best scheme for generating predictions is linear regression with a predictor of 12 hours which produces an RMSE error of 0.63, 1.14, and 3.07 for the lowest wind speed, average wind, and highest wind respectively. These results indicate that the proposed model only requires a light computational load and can produce accurate predictions of wind speed parameters for the next 12 hours.Peralatan otomatis untuk pemantauan keadaan cuaca seperti Automatic Weather Observing System (AWOS) sangat dibutuhkan oleh seorang ahli meteorologi untuk keperluan melayani operasi penerbangan di bandara. Salah satu informasi yang penting selain cuaca untuk layanan penerbangan adalah kecepatan angin. Penelitian ini mengintegrasikan AWOS dan model regresi linear untuk memprediksi parameter kecepatan angin 12 jam kedepan. Parameter tersebut yaitu kecepatan angin terendah, rata – rata, dan tertinggi. Beban komputasi yang diperlukan untuk pembangunan dan pelatihan sistem model yang diajukan ditentukan oleh durasi komputer mengeksekusi perintah pelatihan model dan menghasilkan prediksi. Kecepatan angin kedepan diasumsikan dipengaruhi oleh keadaan parameter cuaca sebelumnya. Oleh karena itu pada penelitian ini, diuji skema penggunaan panjang data historis parameter cuaca yang berbeda untuk memprediksi parameter kecepatan angin 12 jam kedepan. Prediksi yang dihasilkan adalah dalam bentuk ringkasannya, yaitu kecepatan terendah, kecepatan rata – rata dan kecepatan tertinggi pada periode tersebut. Setelah uji coba didapatkan bahwa durasi komputer melatih model adalah 1.2 detik dan untuk menghasilkan prediksi adalah 1.1 detik. Sementara itu, skema terbaik untuk menghasilkan prediksi adalah regresi linear dengan prediktor 12 jam yang menghasilkan galat RMSE 0.63, 1.14, dan 3.07 untuk kecepatan angin terendah dan angin rata – rata, serta angin tertinggi secara berurutan. Hasil ini menunjukkan bahwa model yang diajukan hanya memerlukan beban komputasi yang ringan dan dapat menghasilkan prediksi parameter kecepatan angin 12 jam kedepan yang akurat
Pendidikan Mengatasi Perubahan Iklim berdasarkan Literasi Iklim untuk Pertanian Berkelanjutan di Provinsi Sulawesi Tengah
Full text linkThe Meteorology, Climatology and Geophysics Agency continues to strive to enhance understanding of climate change and its impact through climate literacy, especially in Central Sulawesi Province. Climate literacy through this program can enchance the understanding of agricultural extension officers, farmers, and flagship farmer groups about climate change and help addres challenges in agriculture. The aim of study is to determine the extent of the increase in the knowledge capacity of Human Resources regarding Climate and Climate Change on agriculture through climate literacy in the Central Sulawesi Province. The literacy methods used include visual education materials, interactive training, and life skills approaches. The results obtained show in 21.24% increase in understanding during the period of the Climate Fields School implementation in Central Sulawesi Province. Local government hope that this climate literacy activity can continue as an effort to enhance the capacity of human resources in agriculture to archive climate – smart agriculture. The BMKG Climate Fields School is a valuable resource for empowering agricultural enthusiasts and achieving sustainable agriculture.Badan Meteoroologi Klimatologi dan Geofisika terus berusaha meningkatkan pemahaman tentang perubahan iklim dan dampaknya melalui literasi iklim khususnya di Provinsi Sulawesi Tengah. Literasi Iklim melalui program ini dapat meningkatkan pemahaman para penyuluh pertanian, petani dan kelompok tani andalan tentang perubahan iklim dan membantu mengatasi tantangan dalam pertanian. Tujuan dari kajian ini adalah untuk mengetahui jumlah peningkatkan kapasitas pengetahuan Sumber Daya Manusia tentang Iklim dan Perubahan Iklim terhadap pertanian melalui literasi iklim di Provinsi Sulawesi Tengah. Metode literasi yang digunakan berupa materi edukasi visual, pelatihan interaktif dan pendekatan keterampilan hidup. Hasil yang didapatkan berupa terjadinya peningkatan pemahaman sebesar 21.24% selama periode SLI dilaksanakan di Provinsi Sulawesi Tengah. Pemerintah daerah berharap kegiatan literasi iklim ini bisa terus dilaksanakan sebagai upaya peningkatan kapasitas SDM para penggiat pertanian untuk mencapai pertanian yang cerdas iklim. Sekolah Lapang Iklim BMKG adalah sumberdaya berharga untuk memperkuat penggiat pertanian dan mencapai pertanian yang berkelanjutan
Information Potential of Changses on Agroclimate Zonation in Palu Valley Central Sulawesi
Full text linkThe information of agroclimate zonation according by Oldeman and Schmidt – Ferguson, and the potential of changes has never been done before. So, the purpose of this study is to determine the potential of agroclimate zonation changes according by Oldeman and Schmidt – Ferguson in the Palu Valley Central Sulawesi. The method used in this study is by counting the number of wet and dry months based on observation and prediction data results using ANN. The results of zonation according by Oldeman and Schmidt – Ferguson show that 2 points have the potential to changes and 2 points are fixed. The zonation by Oldeman at the Stageof Palu which was originally type E5 changes to E2 and Tawaili from E5 changes to E3, then based on Schmidt – Ferguson at Stageof Palu which was originally type F changes to E and Tawaili from F changes to D. This research found that the potential for agroclimate zonation of changes according to Oldeman and Schmidt Ferguson in the upcoming period has the potential will changes towards wetness due to the increasing number of humid and wet months, and the decreasing number of dry months.Informasi zonasi agroklimat menurut Oldeman dan Schmidt – Ferguson serta potensi pergeserannya belum pernah dilakukan sebelumnya pada wilayah penelitian. Sehingga penelitian ini bertujuan untuk mengetahui potensi pergeseran zonasi agroklimat menurut Oldeman dan Schmidt – Ferguson di wilayah Lembah Palu Sulawesi Tengah yang diwakili oleh 4 pos pemantau curah hujan. Metode yang digunakan dalam penelitian ini yaitu dengan cara menghitung jumlah bulan basah, bulan lembab dan bulan kering berdasarkan data observasi dan hasil prediksi menggunakan JST. Hasil penentuan zonasi agroklimat menurut Oldeman dan Schmidt – Ferguson menunjukkan bahwa terdapat 2 titik pos hujan yang berpotensi mengalami pergeseran yaitu pada pos hujan Stageof Palu dan pos Tawaili. Pergeseran zonasi berdasarkan Oldeman di pos Stageof Palu yang semula bertipe iklim E5 bergeser ke tipe iklim E2 dan pos Tawaili yang semula E5 bergeser menjadi E3, kemudian berdasarkan Schmidt – Ferguson di pos Stageof Palu yang semula bertipe iklim F bergeser menjadi E dan pada pos Tawaili yang semula bertipe iklim F bergeser ke D. Melalui penelitian ini ditemukan bahwa pergeseran zonasi agroklimat menurut Oldeman dan Schmidt – Ferguson pada periode mendatang di wilayah Lembah Palu Sulawesi Tengah berpotensi akan mengalami pergeseran dominan kearah semakin basah, karena semakin bertambahnya jumlah bulan lembab serta basah dan berkurangnya jumlah bulan kering
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Pergeseran Zonasi Agroklimat di Wilayah Banggai Provinsi Sulawesi Tengah Akibat Perubahan Iklim
Full text linkThe shifting of agroclimate zonation according to Oldeman, which is specifically for lowland rice and secondary crops and Schmidt – Ferguson for plantations in the Banggai region Central Sulawesi Province is not yet available. The importance of this information can be a reference for policy makers as well as agricultural extension workers, plantation extension workers, and academics in the Banggai area as a step to reduce the risk of losses that will be experienced by farmers. Based on the background of the problem, this study aims to determine the agroclimate zonation according to Oldeman and Schmidt – Ferguson at 21 stations for the 1981 – 2019 data period for observational rainfall data, and the 1981 – 2029 period for observation and prediction data. The method used to generate predictive data is the ANN model with backpropagation algorithm, and to determine the agroclimate zonation is done by counting the number of wet and dry months according to the climate classification of Oldeman and Schmidt – Ferguson. The results of the climate classification according to Oldeman for the 1981 – 2019 period from the 21 stations show that the Banggai region has a zonation type D1 – E5 and according to Schmidt – Ferguson has a zonation type A – H. Furthermore, based on the increase between observation data and predictions for the period 1981 – 2029, the results show that there is a shift in 14 points of rain for the Oldeman climate classification and 6 points for the Schmidt – Ferguson climate classification. From the analysis of predictions of agroclimate zonation shifts using Artificial Neural Networks, it is found that in the future period in the Banggai region, Central Sulawesi Province, it is predicted to experience a shift with the category of getting wetter, because it is dominated by an increase in the number of wet months and a decrease in the number of dry months.Informasi pergeseran zonasi agroklimat menurut Oldeman yang dikhususkan untuk padi sawah serta palawija dan Schmidt – ferguson untuk perkebunan di wilayah Banggai Provinsi Sulawesi Tengah belum tersedia. Pentingnya informasi ini dapat menjadi acuan bagi para penentu kebijakan serta penyuluh pertanian, penyuluh perkebunan, dan akademisi di wilayah Banggai sebagai langkah untuk pengurangan resiko kerugian yang akan dialami oleh para petani. Berdasarkan latarbelakang masalah, penelitian ini bertujuan untuk mengetahui zonasi agroklimat menurut Oldeman dan Schmidt – Ferguson pada 21 titik pos hujan periode data 1981 – 2019 untuk data curah hujan observasi, dan periode 1981 – 2029 untuk data observasi dan prediksi. Metode yang digunakan untuk menghasilkan data prediksi adalah model JST dengan algoritma backpropagation, dan untuk menentukan zonasi agroklimat dilakukan dengan menghitung jumlah bulan basah serta bulan kering menurut klasifikasi iklim Oldeman dan Schmidt – Ferguson. Hasil klasifikasi iklim menurut Oldeman periode 1981 – 2019 dari ke 21 titik pos hujan menunjukkan bahwa wilayah Banggai memiliki tipe zonasi D1 – E5 dan menurut Schmidt – Ferguson memiliki tipe zonasi A – H. Selanjutnya, berdasarkan pertambahan antara data observasi dan prediksi periode 1981 – 2029, hasil menunjukkan bahwa terjadi pergeseran di 14 titik pos hujan untuk klasifikasi iklim Oldeman dan 6 titik untuk klasifikasi iklim Schmidt – Ferguson. Dari hasil analisis prediksi pergeseran zonasi agroklimat menggunakan Jaringan Saraf Tiruan didapatkan bahwa pada periode yang akan datang di wilayah Banggai Provinsi Sulawesi Tengah diprediksi akan mengalami pergeseran dengan kategori semakin basah, karena didominasi oleh bertambahnya jumlah bulan basah serta berkurangnya jumlah bulan kering
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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