Judul: Sequential pattern mining pada data titik panas Provinsi Riau menggunakan algoritme PrefixSpan
Abstrak: Salah satu usaha mencegah terjadinya kebakaran hutan adalah dengan mengetahui kemunculan titik panas. Kumpulan data titik panas yang tercatat dapat dicari pola sekuensialnya. Melalui pola sekuensial yang terbentuk, dapat diketahui wilayah yang terindikasi terjadi kebakaran hutan. Selain itu, dapat diketahui pula rentang waktu kemunculan titik panas di suatu wilayah. Informasi tersebut dapat digunakan untuk membuat keputusan dalam pencegahan kebakaran hutan. Metode yang digunakan pada penelitian adalah sequential pattern mining dengan algoritme PrefixSpan dan perangkat lunak sequential pattern mining framework (SPMF). Adapun data yang digunakan adalah data titik panas Provinsi Riau tahun 2000 sampai 2014. Penelitian dengan menggunakan minimum support 1% sampai 27% menghasilkan 36 sekuens dengan panjang 1 item, 26 sekuens dengan panjang 2 item, 8 sekuens dengan panjang 3 item, dan 1 sekuens dengan panjang 4 item. Pola sekuensial dengan panjang 2 item dan minimum support 7% menunjukkan terdapat 453 kemunculan titik panas yang terjadi secara berurutan pada hari ke-4613 (19 Juni 2013) kemudian hari ke-4615 (21 Juni 2013). Rentang waktu kemunculan titik panas tersebut adalah selama 3 hari.
Keyword: hotspot, PrefixSpan, sequential pattern mining, SPMF

Judul: Pola Sekuensial Kemunculan Titik Panas Berdasarkan Data Cuaca di Provinsi Riau
Abstrak: Weather is one of some contributing factors causing forest fires. A hotspot is an indicator of forest fires. Weather and hotspots data can generate sequential pattern occurences of hotspots based on weather data. The sequential pattern can be used to help in making right decisions or policies to prevent forest fires. This research applied the Closed Sequential Pattern Mining (Clospan) algorithm that avaliable in Sequential Pattern Mining Framework program (SPMF) to generate sequential patterns. The data used are hotspots, precipitation and temperature that are grouped by year of events starting from the year 2001 to 2010. The sequential patterns were discovered with minimum supports from 1% to 20%. The results show that the sequential patterns generated from hotspot and precipitation data indicate the first hotspot occurence in a location with precipitation 0.03 inch per 6 hours followed by precipitation 0.20 inches per 6 hours at different times. Sequential patterns of hotspot and temperature data indicate the first hotspot occurence in a location with temperature 28.33 °C followed by temperature 28.89 °C and temperature 29.44 °C at different times. Areas where most commonly found hotspot occurrences are those with precipitation 0.03 inch per 6 hours and temperature 29.44 °C.
Keyword: Bogor Agricultural University (IPB), weather data, SPMF, hotspots data, forest fires, clospan

Judul: The Effect Cassava Leaves Meal in The Diets on Body Weigbt, Percentage of Digestive Tract and Viscera of Mule Duck.
Abstrak: The mule ducks are the crossbreed between common duck females (Anas plathyrhynchos) and muscovy ducks (Cairino moschata) to improve the meat production in order to meet the animal protein requirement of the people. One of the problems in husbandry farming is highly feed cost. This problem can be solved with using highly available local sources and cheapness. Cassava leaves (Manihot esculenta Crantz) is the one local sources which can be used as an alternative feed, because it contains a rather high protein (24.1%) aud vitamin A (10,000-13,000 IU). A highly Hydrocyanide (HCN) as well as crude fiber in the cassava leaves are the limiting factors to be used as poultry diet. The ducks have more ability in digest the crude fiber than chicken. So that, using some cassava leaves in the diet does not make any problem.
Keyword: