Judul: Kajian Self-Organizing Maps (SOM) dalam pengelompokan objek (studi kasus: pengelompokan desa/kelurahan di Kabupaten Wajo Sulawesi Selatan)
Abstrak: Clustering is a process of classifying objects into groups which have similarity. The result of clustering will show that objects in one cluster will be more homogeneous than others. There are two methods in classic clustering analysis i.e. hierarchical cluster method and non-hierarchical cluster method. Determination of the number of clusters which formed by them is done subjectively. The cluster other methods also developed by using artificial intelligence. Artificial neural network is an information processing paradigm that inspired by the biology systems, it is neuron. Like brain which process information. Self-organizing maps (SOM) is one of the topology of Unsupervised Artificial Neural Network (Unsupervised ANN) which process does not require monitoring in his training. Application clustering using SOM algorithm is expected to be used as a tool to analyze the data in order to obtain the characteristics of the data that will be grouped. Clustering is used to group the data naturally without based on the specific class target. In this study, SOM compared with clustering method with large data sizes, it was two-step cluster. According to Bacher (2004), two-step cluster method (TSC) was a cluster method which can resolve the problem clustering measurement scale, especially for large data with variables which have categorical and numerical data types. Performance clustering SOM and two-step cluster method compared by the simulation data, afterwards, applying the method of SOM on clustering villages/urbans in Wajo regency, South Sulawesi. The data in this study consisted of two sources i.e. simulated data and secondary data. Simulated data was generated data multivariate distribution (μ,Ʃ) which useful to measure the performance of two-step cluster method and SOM in classifying an object. Secondary data, which used in this study, BPS’s data in Wajo regency, South Sulawesi, was Village Potential Data (VPD) in 2011. Simulation data was the generated data numeric type (M) which consisted of three forms of the population i.e. a). a population consisted of three clusters were clearly separated, b). a population which consisted of three clusters of overlapping (overlap) each other in small numbers, and c). a population that consisted of three clusters of overlapping (overlap) each other in large numbers. The results of methods SOM and TSC showed that simulation data has the good ability to classify data, however, TSC provides better clustering results for large data sizes than SOM. In addition, it is also showed that the larger the number of data, the misclassification of SOM would become larger, nevertheless, the changes were relatively smaller. In the other hand, the larger the number of data the misclassification of TSC method was become smaller. Secondary data, which used in this study, written documentation and identification of used variables about areas/villages in Wajo regency, South Sulawesi, was Village Potential Data (VPD) in 2011 i.e. : X1 (total population), X2 (family farm), X3 (family farm laborer), X4 (family power user), X5 (fuel for daily cooking), X6 (educational facilities), X7 (health personnel), X8 (population mortality). Objects in this research were applied around the village/urbans in Wajo district. The results of clustering with SOM method, village/urbans in the Wajo regency produced
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Judul: Clustering Menggunakan Self Organizing Maps (Studi Kasus: Data Perkembangan Anak di Kabupaten Bogor)
Abstrak: Child development data which were gathered by the team from the Department of Family and Consumer Science, Bogor Agricultural University, require data processing to assess the characteristics of child development in Kabupaten Bogor. The purpose of this research is to implement the Self Organizing Maps (SOM) algorithm for data clustering and to obtain the characteristics from the clustering results. The data were obtained from 71 childrens at 2.5–3.4 years of age, 97 childrens at 3.5–4.4 years of age, and 126 childrens at 4.5–5.4 years of age. The data consist of four attributes: Cognitive, Language, Gross Motor, and Fine Motor. These data were the input for SOM algorithm. SOM clustering result was validated using Davies-Bouldin Index. The research shows that the clustering result for children at 2.5–3.4 years of age is 3 clusters, 3.5–4.4 years of age is 4 clusters, and 4.5–5.4 years of age is 3 clusters.
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Judul: Karakteristik Ikan Patin Hibrida Antara Pnt?gnsizis hypophthnltww Betina Dengan Patzgnsiz~sd jnn~bnJl antan Pada Fase Pembesaran
Abstrak: Di Indonesia terdapat beberapa spesies ikan patin yang sudah dikenal dan ada beberapa yang sudah dibudidayakan, diantaranya adalah Pangasius hypophthalmus. Diantara Pangasius lokal, Pangasius djambal merupakan salah satu spesies yang mulai dikembangkan pada tahun 1998. Percobaan ini bertujuan untuk mengetahui hasil hibridisasi interspesifik antara P. hypophthalmus betina dengan P. djambal jantan yang meliputi pertumbuhan, kelangsungan hidup, karakter meristik dan karakter morfometrik pada fase pembesaran. Percobaan ini dilaksanakan pada bulan Februari sampai dengan Juli 2000, di Kolam Percobaan Babakan Darmaga, PB. Pada percobaan ini dilakukan kegiatan persiapan kolam yang meliputi pengeringan, pemupukan, pengapuran dan pengisian air, kemudian persiapan benih, dimana benih yang digunakan adalah P. hypophthalmus dengan bobot rata-rata awal 5,18 gram dan panjang 8,16 cm, serta ikan patin hibrida dengan bobot rata-rata awal 5,36 gram dan panjang 8,34 cm. Kegiatan selanjutnya adalah pemeliharaan ikan yang dilakukan secara komunal pada kolam berukuran 10m x 20m, jumlah ikan yang ditebar adalah 60 ekor untuk masingmasing spesies. Untuk membedakan antara kedua spesies dilakukan penandaan dengan cara memotong patil sebelah kiri untuk P. hypophthalmus dan patil sebelah kanan untuk hibridanya. Pakan yang diberikan berupa pellet berkadar protein 28% dengan tingkat pemberian pakan 40% bobot biomassa perusahaan hari pada awal pemeliharaan, kemudian diturunkan menjadi 20%, 15%, 10% dan 5% setiap bulannya dengan frekuensi pemberian pakan pakan 3 x sehari pada waktu pagi, simg dm sore hari. Pengambilan contoh dilakukan satu bulan sekali, dan jumlah contoh yang diambil adalah 20 ekor untuk masing-masing spesies, kemudian ditimbang bobot dan diukur panjangnya. Pada saat panen dilakukan penghitungan karakter meristik dan pengukuran karakter morfometrik. Selain itu dilakukan pula pengamatan tingkah l a b ikan, yaitu frekuensi ikan naik ke permukaan air. Data yang diperoleh dianalisis secara deskriptif dan ditampilkan dalam bentuk tabel, gambar dan grafik Hasil percobaan menunjukkan bahwa pertumbuhan bobot dan panjang pada ikan P. hypophfhalmus (41 5,176 i 58,370 gram dan 35,890 i 1,476 cm) lebjh tjnggi dibandingkan hibridanya (344,563 * 68,905 gram dan 33,725 * 2,112 cm) pada akhir pemeliharaan. Persentase laju pertumbuhan terus menurun dari awal pemeliharaan sampai akhir pemeliharaan. Kelangsungan hidup P. hypophfhaImzis (100%) lebih tinggi dibandingkan hibridanya (55%). Nilai relatif karakter morfometrik kedua spesies ikan relatif sama, hanya pada karakter morfometrik usus P. hypophthalmus lebih panjang dibandingkan hibridanya. Karakter meristik kedua spesies ikan relatif sama, tetapi terdapat sedikit perbedaan pada tapis insang, pada P. hypophthalmus memiliki kisaran nilai antara 24-34 dan pada hibridanya antara 23-25. Secara morfologi dapat dilihat adanya perbedaan antara kedua spesies, yaitu terletak pada bentuk gelembung renang, kepala bagian bawah dan warna daging. Gelembung renang P. hypophfhalmus merupakan gelembung renang tunggal yang memanjang secara posterior dari sirip punggung sampai dengan sirip dubur Sedangkan gelembung renang hibridanya berbentuk ganda. Pada bentuk kepala bagian bawah, P. hypophthalmus memiliki bentuk kepala yang lebih ramping dibandingkan hibridanya. Dan warna daging P. hypophthalmus adalah kekuningkuningan kuningan sedangkan hibridan~ab envarna keputih-putihan.
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