Judul: Analisis dan Implementasi Algoritme Voronoi Based Spatial Skyline untuk Pemilihan Lokasi pada Google Maps
Abstrak: Sistem pemilihan lokasi menjadi layanan yang dibutuhkan karena kebutuhan manusia yang semakin kompleks. Google Maps merupakan salah satu sistem pemilihan lokasi yang populer dengan salah satu fiturnya, yaitu pencarian lokasi menggunakan nearby. Penggunaan fitur nearby ini hanya mempertimbangkan satu lokasi saja, sehingga tidak dapat mengatasi kueri pemilihan lokasi jika ada lebih dari satu aspek nearby yang dipertimbangkan. Salah satu metode untuk menjawab permasalahan ini adalah Spatial Skyline Query (SSQ). SSQ adalah metode pemilihan lokasi berdasarkan konsep skyline query. SSQ melakukan pemilihan lokasi berdasarkan beberapa lokasi lain yang dipertimbangkan dengan memanfaatkan properti geometri dalam penyelesaiannya. Saat ini, SSQ belum diterapkan dalam Google Maps. Penelitian ini menggunakan salah satu algoritme SSQ yang efisien yaitu Voronoi-based Spatial Skyline (VS2) untuk pemilihan lokasi pada Google Maps. Hasil dari penelitian ini adalah sistem pemilihan lokasi berbasis web.
Keyword: Google Maps, pemilihan lokasi, skyline query, spatial skyline query, voronoi-based spatial skyline

Judul: Implementasi Algoritme Grid Based Area Skyline Menggunakan Google Maps pada Aplikasi Berbasis Mobile
Abstrak: Pemilihan lokasi untuk usaha maupun tempat tinggal adalah kueri yang sangat penting dalam kehidupan sehari-hari. Secara umum, suatu lokasi dikatakan baik jika berada dekat dengan fasilitas-fasilitas yang menguntungkan yang akan memberi nilai tambah pada lokasi tersebut, dan berada jauh dari fasilitas-fasilitas yang akan mengurangi nilai dari lokasi tersebut. Umumnya kueri pemilihan lokasi membutuhkan kandidat lokasi untuk dipilih yang didapat dari hasil survey. Namun seringkali survey tidak dapat dilakukan karena adanya berbagai masalah teknis. Grid-based Area Skyline (GASKY) adalah algoritme yang dapat digunakan untuk memilih area yang diinginkan tanpa harus memiliki kandidat lokasi. Sayangnya GASKY belum digunakan secara luas karena belum diimplementasikan dalam sebuah platform yang familiar dengan masyarakat. Penelitian ini bertujuan untuk mengimplementasikan algoritme GASKY pada Google Maps sebagai platform pencarian lokasi yang sudah sangat terkenal di masyarakat pada aplikasi berbasis mobile. Hasil dari penelitian ini adalah sebuah sistem pemilihan area menggunakan Google Maps tanpa harus memasukkan kandidat lokasi. Implementasi sistem dengan menggunakan bahasa pemrograman Javascript dan framework react native serta pengembangan algoritmanya memanfaatkan bahasa pemrograman python dan framework Flask untuk mengintegrasikan algoritma GASKY serta hasilnya ke dalam sistem mobile yang telah dibuat. Sistem yang dihasilkan berbasis mobile sehingga memudahkan masyarakat luas dalam penggunaannya kapan saja dan di mana saja., The location selection for business or residence is a very important query in daily life. In general, a location is said to be good if it is close to desirable facilities that will add value to the location, and is far from facilities that will reduce the value of the location. Generally a location selection query requires a candidate location to be selected which is obtained from the survey results. However, often the survey cannot be carried out due to various technical problems. Grid-based Area Skyline (GASKY) is an algorithm that can be used to select the desired area without having to have a candidate location. Unfortunately, GASKY has not been widely used because it has not been implemented in a platform that is familiar to the public. This study aims to implement the GASKY algorithm on Google Maps as a location search platform that is very well known in the community as mobile-based application. The result of this research is an area selection system on Google Maps without having to enter a candidate location. Implementation of the system using the Javascript programming language and the React Native framework and the development of the algorithm using the Python programming language and the Flask framework to integrate the GASKY algorithm and its results into the mobile system that has been created. The resulting system is mobile based, making it easier for the wider community to use it anytime and anywhere.
Keyword: Google Maps, Grid Area Skyline, location selection, Skyline Query

Judul: Biology and ecology of the buffalo fly, haematobia exigua de meijere (diptera:muscidae)
Abstrak: The life history of the buffalo fly was observed at room temperature of 27°-29.5°C and at a relative humidity of 48-68 percent. The eggs hatched after 17-22 hours, with an average of 18 hours. First instar larvae measured 1.25 + 0.16 mm long and 0.27 + 0.037 mm wide. reach the second larval stage. It took 6-12 hours to the second instar larvae measured 2.676 +0.187 mm long and 0.353 +0.028 mm wide. The second instar took about 12-24 hours to reach the third larval stage. The third instar measured 6.833 + 0.189 mm long and 0.919 + 0.051 mm wide. It took about 2-3 days for the third instar to become pupae. Duration of the pupal stage was about 5-7 days before the adults emerged. Under laboratory condition, the buffalo fly completed its life cycle in 9.5 to 10.5 days, whereas under field condition it took 9-14 days with an average of 10.5 days. The growth ratio which was based on the measurements of the cephalo-pharyngeal skeleton of each instar was 1.797. The preoviposition period was 8-12 days and mating usually occurred on the 6th or 7th day. The longevity of the male was 29 days, whereas it was 32 days in the female. The range of egg production under laboratory condition was between 20-139 per female fly. The belly and hind legs of the carabao were the most preferred habitat either during cloudy and cool dry or shiny and warm day. When the weather was clear and the carabao was in the shade, the flies tended to be more distributed particularly on the shoulder, dewlap, back and horns. The carabaos had relatively fewer Musca sp. and Stomoxys calcitrans than cattle; never the less carabaos had a higher infestation of buffalo fly than cattle. Oviposition occured either during the day or night but the buffalo flies were more active during the night than in the day time. The effect of various lengths of exposure time of manure in relation to the oviposition was profound. observed, the maximum number of the buffalo flies was occurred when the dung was exposed for 30 minutes. With increasing time of exposure the number and variety of insects also increase. It was evident that Sepsidae and psychodidae were the most dominant insects emerging from the dung. The number of buffalo flies also increased with increasing
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