Judul: Identifikasi lahan sagu dan potensi pemanfaatannya secara berkelanjutan di kabupaten Jayapura
Abstrak: Sago is one important alternative food diversification. Determination sago land as a sustainable food farming land needs to consider sago food needs, distribution, productivity and level of sago utilization. The purposes of this study are (1)To identify the food needs of local sago, (2)To identify of distribution and utilization of sago forest as other its utilization by people, and (3) To develop scenarios to determine the sago forest area that deserve to be recommended as sustainable agricultural food carried out in Jayapura Papua Province. The result showed there are four of vegetated sago area of 2909.8 ha of sago which is comprised of the Harapan area, Kehiran, Sosiri and Maribu. Types of sago based on habitat and cultivation consists of sago cultivation areas (dusun sagu), sago natural forest, sago swamps, and the sago mixture. Types of sago based on morphology diversity just on dusun sagu area while in other areas only forest sago (mano/manino). The highest productivity is the Kehiran region with clump density 711 clump/ha and 133 stands ready for harvest/ha. Use type of sago utilization is same for all areas only on the intensity of their use are different. Requirement sago land for the consumption of sago in location of research and contribution to the Jayapura regency is sufficient from of sago land existing. 950.1 ha of sago cultivation areas for LP2B plan, especially development on the fringes of Sentani Lake. 1.508,3 ha of potential sago land for LCP2B plan other than those already proposed for plan of LP2B areas. KP2B includes LP2B, LCP2B, sago swamps and supporting elements of an area of 2.458,4 ha.
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Judul: Identification of Sago Palm (Metroxylon spp.) Accession in Mamuju sub-District, Mamuju District, West Sulawesi Province
Abstrak: Sagu (Metroxylon spp.) merupakan tumbuhan yang berasal dari Indonesia, sekitar 85% sagu dunia terletak di Indonesia. Sagu memiliki potensi yang tinggi, khususnya sebagai tumbuhan pencegah kelaparan. Penelitian ini bertujuan mengidentifikasi aksesi sagu berdasarkan karakter morfologi, produksi, dan genetik di Kecamatan Mamuju, serta kekerabatan sagu di Provinsi Sulawesi Barat menggunakan metode RAPD. Analisis tutupan lahan sagu menggunakan metode pengindraan jauh juga dilakukan untuk mengetahui potensi produksi Kabupaten Mamuju. Terdapat 3 jenis sagu yang terdiri atas 2 jenis tidak berduri, yaitu Kasimpo, dan Kapas, serta 1 jenis berduri yakni Ruwi. Aksesi Kapas menjadi aksesi dengan produksi pati kering tertinggi, dapat mencapai 717,90 kg batang-1. Produktivitas sagu di Kecamatan Mamuju 15,03 ton pati kering ha-1 tahun-1. Produksi pati kering memiliki korelasi terbesar dengan panjang batang (0,872), jumlah daun (0,703), dan diameter batang (0,575). Hubungan kekerabatan (RAPD) berbagai aksesi di Provinsi Sulawesi Barat tidak begitu jauh, dengan nilai Kf <80%. Berdasarkan hasil pengindraan jauh berupa interpretasi citra satelit Pléiades-1A/-B, diketahui luas sagu di kabupaten Mamuju yaitu 252,74 ha. Tutupan lahan sagu terluas terletak di Kecamatan Kalukku yakni 95,27 ha dan tersempit di Kecamatan Kalumpang yaitu 0,91 ha. Peta yang dihasilkan memiliki akurasi sebesar 81,58%., Sago (Metroxylon spp.) is an original plant from Indonesia, about 85% of the world’s sago grown in Indonesia. Sago has a high potential, especially as a prevent hunger plant. The research aims to identify sago accession based on morphology, production and genetic in Mamuju sub-District, and the sago relationship in West Sulawesi Province using RAPD method. Sago land cover analysis using remote sensing method was used to estimate spotential sago production in Mamuju District. There were 3 accession observed, i.e. 2 type non spiny, Kasimpo and Kapas, and 1 type spiny it is Ruwi. Kapas is the hights production dry starch accession, it is reaching 717,90 kg trunk-1. Sago productivity in Mamuju sub-District is 15,03 tons dry starch ha-1 year-1. Dry starch production had the hights correlation with trunk length (0,872), number of leaves (0,703), and trunk diameter (0,575). Relationship (RAPD) various accession sago in West Sulawesi Province was not too far, Kf value <80%. Based on remote sensing with satellite Pléiades-1A/-B imagery interpretation, the sago area in Mamuju District estimated 252,74 ha. The largest sago area is in Kalukku sub-District, which is 95.27 ha and the narrowest is in Kalumpang sub-District, which is 0.91 ha. The map has 81.58% of overall accuracy.
Keyword: genetic, morphology, production, remote sensing, sago types

Judul: Invers Drazin dari Matriks Toeplitz Singular
Abstrak: Matriks Toeplitz adalah matriks yang setiap unsur pada diagonal utama bernilai sama dan setiap unsur pada subdiagonal yang bersesuaian dengan diagonal utama juga bernilai sama. Matriks singular adalah matriks yang tidak bisa ditentukan inversnya. Akan tetapi, dapat diupayakan untuk ditentukan inversnya menggunakan invers matriks yang diperumum. Invers Drazin merupakan salah satu jenis invers matriks yang diperumum. Pada karya ilmiah ini ditentukan invers Drazin dari matriks Toeplitz singular dengan menggunakan metode Leverrier Faddeev. Kemudian, ditentukan invers Drazin dari matriks Toeplitz singular yang direpresentasikan sebagai penjumlahan segitiga bawah dan segitiga atas matriks Toeplitz berdasar pada teorema Gohberg dan Semencul., Toeplitz matrix is a matrix in with element on the main diagonal has the same value and on the subdiagonal corresponding to the main diagonal also has the same value. Singular matrix is a matrix that has no inverse. However, it can be attempted to determine the inverse using a generalized inverse matrix. Inverse Drazin is a type of generalized matrix inverse. This paper discussed the inverse Drazin for a singular Toeplitz matrix using the Leverrier Faddeev method. Then, the Drazin inverse of the singular Toeplitz matrix which is represented as a sum of products of lower and upper triangular Toeplitz matrix based on Gohberg and Semencul theorem.
Keyword: inverse Drazine, singular Toeplitz matrix