Let G=(V,E) be a graph with vertex set V and edge set E. A local antimagic total vertex coloring f of a graph G with vertex-set V and edge-set E is an injective map from V∪E to {1,2,…,|V|+|E|} such that if for each uv∈E(G) then w(u)≠w(v), where w(u)=∑uv∈E(G)f(uv)+f(u). If the range set f satisfies f(V)={1,2,…,|V|}, then the labeling is said to be local super antimagic total labeling. This labeling generates a proper vertex coloring of the graph G with the color w(v) assigning the vertex v. The local super antimagic total chromatic number of graph G, χlsat(G) is defined as the least number of colors that are used for all colorings generated by the local super antimagic total labeling of G. In this paper we investigate the existence of the local super antimagic total chromatic number for some particular classes of graphs such as a tree, path, cycle, helm, wheel, gear, sun, and regular graphs as well as an amalgamation of stars and an amalgamation of wheels.

Sistem informasi pengukuran produktivitas hotel di kabupaten Jember menggunakan metode OMAX dan AHP merupakan sistem yang bertujuan untuk melakukan perhitungan produktivitas hotel dalam suatu periode dan mengetahui faktor-faktor yang menyebabkan peningkatan atau penurunan produktivitas sehingga program perbaikan dapat dilakukan ketika produktivitas mengalami penurunan. Metode OMAX digunakan untuk menghitung nilai indeks produktivitas pada periode pengukuran. Sedangkan metode AHP digunakan untuk menentukan nilai bobot pada indikator pengukuran. Sistem informasi pengukuran produktivitas hotel ini dibangun berbasis website agar dapat digunakan dengan mudah oleh manager dan setiap departemen yang ada. Sistem ini dibangun mengadopsi model waterfall. Hasil dari penelitian ini, sistem dapat melakukan perhitungan produktivitas dan menampilkan faktor yang mempengaruhi nilai produktivitas tersebut sehingga dapat membantu manager dalam mengontrol produktivitas. Dengan menggunakan sistem pengukuran produktivitas hotel ini dapat diketahui bahwa pada bulan Oktober 2016 indeks produktivitas mengalami peningkatan sebesar 7,8%. Faktor-faktor yang menyebabkan produktivitas meningkat dibanding periode sebelumnya yaitu rasio hunian kamar, rasio perawatan kamar dan rasio pelayanan F&B.Kata Kunci: Pengukuran Produktivitas, Objective Matrix, AHP

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Sorting coffee bean nowadays is still done manually, although there is already a support machine for separation through size, but to determine the quality of the seeds remain manual using human power. This coffee bean sorting is in the spotlight to research whether it can be more effective if there is a tool that can directly find out the quality of coffee. This system will make it easier for workers in the field. In addition to saving time, costs will decrease and also the work of workers will be reduced. This paper present the implementation of machine learning method to classify the coffee bean quality. The dataset use 90 coffee bean for three classes and 30 for each class. From the experimental result, the highest accuracy obtain 83%.

Cocoa is a crop plantation originating from the tropical forests of Central America and northern part of South America. In general, cocoa grouped into three types namely Forastero, Criollo, and Trinitario which is the result of a cross between Forastero with Criollo. Cocoa (Theobroma cacao L.) is one of the comodity that has an important role in the Indonesian economy. The Indonesian's processing directorate, and the programs related to the 2015-2019 development are the Increased Production and Productivity of Sustainable Plantation Crops. This program is conducted to increase the production, productivity of cocoa and other plantation crops. One of the focus activities is Inventory of postharvest data of plantation. In the selection of cocoa beans based on the best quality, Indonesian Coffee and Cocoa Research Center is often missed so that there are some cocoa beans that should not pass the quality but still processed into processed products. In that case we proposed a new scheme for Decision Support System by using Forward Chaining method and Simple Multi Attribute Rating Technique (SMART). The combination of these two methods proved to be able to do a very good selection of cocoa beans. Where the selection is done with two stages proven can really filter the cocoa beans are good for health.