The aim of the research is to make predictions from the best architectural model of backpropagation neural networks. In determining the outcome in the form of a prediction model, the activation function in the artificial neural network is useful to transform an input into a certain output. In this study the activation function used is sigmoid. The study uses the case of population density in Indonesia considering that for developing countries population growth has many negative impacts such as increased poverty, unemployment and crime rates. This study uses data from Badan Pusat Statistic Indonesia for population categories in 2003-2015. The process of determining the architectural model is carried out 2 stages including: the training stage and the testing stage. The two architectural models used (5-2-1 and 5-10-1), the selection of architectural models is done by looking at several assessment parameters such as epoch, accuracy, MSE training and MSE testing. The process of training and testing of data is done by using the help of the Matlab application. The results of the study obtained that the architectural model 5-2-1 is the best model for predicting with an accuracy of 65%, MSE Training 0,0009997254, MSE Testing 0.0014897214 and Epoch 28548.

Sistem Pendukung Keputusan (SPK) adalah sistem yang dapat membantu seseorang dalam mengambil keputusan yang akurat dan tepat sasaran. Banyak permasalahan yang dapat diselesaikan dengan menggunakan SPK, salah satunya adalah Penentuan Supplier Bahan Bangunan dengan menggunakan bantuan metode SMART (Simple Multi Attribute Rating Technique) Pada Toko Bintang Keramik Jaya. Tujuan dari penelitian ini adalah untuk menghasilkan Sistem Pendukung Keputusan Penentuan Supplier Bahan Bangunan Menggunakan Metode SMART (Simple Multi Attribute Rating Technique) Pada Toko Bintang Keramik Jaya dengan harapan seleksi Supplier secara obyektif. Dengan menggunakan bahasa pemrograman Visual Basic 6.0 dan databasenya menggunakan Microsoft Access. Dalam penelitian ini, teknik pengumpulan data yang digunakan adalah studi pustaka, observasi dan wawancara. Hasil dari penelitian ini adalah dibuatnya sistem pendukung keputusan untuk mengetahui Penentuan Supplier yang layak, dipertimbangkan, dan belum terpilih untuk dipilih. Pengguna dapat menginputkan data Supplier, data kriteria, data subkriteria. Kemudian sistem akan mencari solusi dengan metode SMART. Setelah keputusan didapatkan, maka sistem akan menampilkan keputusan tersebut.

The aim of the research is to map clusters on Indonesia’s national food security during the Covid-19 Pandemic. Where food security is a condition for the fulfillment of food for the state up to individuals, which is reflected in the availability of sufficient food, both in quantity and quality, safe, diverse, nutritious, equitable, and affordable and does not conflict with the religion, beliefs and culture of the community, to be able to live a healthy, active, and productive life in a sustainable manner. The data source used is secondary data from the Central Statistics Agency (abbreviated BPS). The data consists of monthly per capita expenditure in urban and rural areas by province and group of goods (rupiah) consisting of 33 data records (2011-2018). The group of goods used is expenditures used for food costs. The data mining method used is k-medoids which are part of the clustering. Cluster mapping uses 2 labels namely C1: labels with high food security and C2: labels with low food security. The results of the k-medoids method calculation concluded that 19 provinces were in C1 cluster and 14 provinces were in C2 cluster. From these results it is stated that 42% of Indonesia still has low food security as evidenced by the fulfillment of higher food needs than non-food. These regions are West Sumatra, Riau, Bangka Belitung Islands, Riau islands, DKI Jakarta, West Java, Banten, Bali, Central Kalimantan, South Borneo, East Kalimantan, North Sulawesi, West Papua and Papua.

This research is titled Monitoring System of Higher Education Graduates in Entering the World of Work Using Tracer Study. The problem raised in this study is that the BKK (Bursa Kerja Khusus) STMIK Widya Cipta Dharma Samarinda get information about the performance of STMIK graduate students Widya Cipta Dharma, analyze graduate data to obtain the relevance of the competency of STMIK graduates Widya Cipta Dharma Samarinda, change the old system into a system that new. The purpose of this research is to provide information and reports on the results of tracer study data collection from alumni of STMIK Widya Cipta Dharma Samarinda. Data collection methods used are literature study, field studies. The system development method used is the waterfall method. Informatic System of Alumnus Record Tracer Study Based Website of STMIK Widya Cipta Dharma Samarinda is a computer-based system that was built with the aim of processing the alumnus search to find out the description of the profile, performance, and distribution of work location of the alumnus. Informatic System of Alumnus Record Tracer Study Based Website of STMIK Widya Cipta Dharma Samarinda is expected to help assist the BKK (Bursa Kerja Khusus) in recording alumnus and record the track record of alumnus scattered in serveral areas.

The purpose of the research is to analyze marketing strategies in the selection of Mouth sores products based on consumers. The data source was obtained by observing, interviewing and giving questionnaires to 375 respondents randomly by using Google Form. The output of the research is the ranking of Mouth sores products. The technique used is utilizing one of the decision support system methods, namely Simple Multi Attribute Rating Technique (SMART) in providing recommendations for results. The alternative thrush medicine products that are used are: Adem Sari (A1), Jesscool (A2), Alangsari (A3), Larutan Penyegar cap Kaki Tiga (A4) and Larutan Penyegar cap Badak (A5). The rating criteria given are Composition (C1), Packaging (C2), Taste (C3), Price (C4) and How to use (C5). The results of the SMART method calculation give the first recommendation is Alangsari (A3) with a final value = 0.84 and Jesscool (A2) as the second recommendation with a final value = 0.45.