The selection of tourist attractions is a multi-criteria decision making problem, which requires time and careful consideration to make the right decision. The proper destination selection based on human needs in a particular moment affects satisfaction in traveling. This research aims to create a decision support system for selecting tourist attractions (a case study in Kupang City) using fuzzy analytic hierarchy process method. Users can input the priority scale of 9 human need attributes and then be directed to the system’s recommendations of tourist attractions. This paper also compares fuzzy analytic hierarchy process method with the original analytic hierarchy process calculations. The result shows that both methods can be a solution for multi-criteria decision making, but the fuzzy analytic hierarchy process method performs a more optimal solution for cases with uncertainty in comparisons between elements.

The stunting prevalence in Indonesia ranks fourth in the world, meaning that 37% of Indonesian toddlers are stunted. Stunting is a chronic nutritional deficiency problem caused by lack of nutritional intake for a long time, resulting in a disturbance to the child's growth, which is a lower or shorter child (dwarf) than the standard of his age, Especially in the first thousand golden age of life. The first thousand days of life is counted from the 9 months of a child in terms of mothers up to 2 years of life (0-23 months). The Data on the basic health Research (RISKESDAS) in 2018 shows the prevalence of stunting in the national sphere of 30.8%, consisting of a short prevalence of 19.3% and very short at 11.5%, and the highest percentage in 2018 is in Nusa Tenggara province. Eastern (42.6%). NTT ranked first in the province for stunting status and the parameters used to determine stunting status are based solely on the age of weight (BB/U), which is on the card to the Healthy (KMS). The urgency of the problem, is to classify the stunting status specifically based on the standard characteristics of the WHO use the K-means Clustering algorithm. The objective of the study is to obtain the classification results with the algorithm method of the Clustering K-means in determining the stunting status in children under the age of two years. The method of implementing this research is CRISP-DM (Cross Industry Standard Process for Data mining) model.

Pengiriman barang merupakan suatu kegiatan rutin yang dilakukan pada perusahaan jasaangkutan. Banyaknya permintaan pengiriman barang antar kota menyebabkan perusahaan jasaangkutan diharuskan melakukan penjadwalan yang efektif dan efisien. Melakukan penjadwalanpengiriman barang bukanlah pekerjaan yang mudah dikarenakan banyak aspek yang mempengaruhisehingga menimbulkan masalah dan konflik dalam menyusun jadwal. Melalui tulisan ini, dibangunlahsebuah sistem pendukung keputusan yang membantu perusahaan jasa angkutan dalam melakukanpenjadwalan untuk pengiriman barang. Batasan-batasan dalam melakukan penjadwalan digunakansebagai aturan (rule) dalam sistem pendukung keputusan yang dibangun. Sistem pendukungkeputusan ini memberikan alternatif pilihan bagi pengambil keputusan untuk menentukanpenjadwalan pengiriman barang berdasarkan waktu pemesanan, ketersediaan sumberdaya, yaitutruk dan supir, serta karakteristik rute perjalanan. Sistem pendukung keputusan ini dibangunmenggunakan Microsoft Visual Studio dengan bahasa pemrograman C#.

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