No abstract

Recently media that is used on mathematic study is just board and printed book. Usually teacher uses, modelling tool to visualize study objects like geometry, but students must be in alternatively to fulfill that demand requires application which can deliver 3-dimension geometry to emphasize students understanding of volume and surface area. This research will implement based tracking marker method on textbook and develop geometry study application based on augmented reality, it is called "Magic Boosed". The existence of AR combination technology, then geometry which will be taught by teacher to elementary school student will be more interesting and make students are easier to learn shape and geometry formulas, this is evident from data analysis test on student learning improvement using kolmogorov-smirnov testing.

Red chili peppers (Capsicum annuum L.) plants classified as fruit and vegetables spices (herbs), that almost all people consume it for everyday purposes. Not only used for household consumption, but also used in various industries as a raw material. Utilization as raw materials in various industry makes red chili as vegetable crops of high economic value and has a great prospect. But its diseases are complex enough for causing farmers hard to diagnose and resulted in reduced production levels. One solution to this problem is the establishment of an expert system that can help farmers to diagnose major diseases of red pepper plant in a practical and accurate. The purpose of this research is to make the application of expert systems for diagnosing diseases of red chili. This application uses forward chaining to diagnose disease and calculate the value of possibilities with Certainty Factor. This method is to prove whether a fact that certainly would not have been shaped or metrics that are typically used in an expert system. This method is suitable for expert systems to diagnose something uncertain. Certainty Factor expressed confidence in an event or factual hypothesis based on evidence or expert judgment. The results of research is in the form of an expert system application that can diagnose diseases of red pepper plants with enough accuracy and can help in overcoming the problem of crop failure. Based on the data taken from tests performed in this study, the system can diagnose red chili plant disease with high accuracy.

Kurang lebih 900 pendaftar beasiswa bidikmisi Universitas Mulawatman setiap tahun, menyebabkan proses seleksinya berjalan lamban dan berpotensi tidak konsisten. Ketidakkonsistenan pada sistem penentuan penerima menyebabkan tujuan penyelenggaraan beasiswa menjadi kabur, tidak transparan dan tidak tepat sasaran. Penelitian ini bertujuan untuk membantu bagian proses seleksi dengan membuat aplikasi perangkat lunak sistem pendukung keputusan untuk penentuan penerima beasiswa bidikmisi Universita Mulawarman. Penentuan penerima beasiswa menggunakan beberapa kriteria antara lain: pekerjaan orang tua, penghasilan orang tua, jumlah tanggungan, daya listrik (watt), dan nilai ujian nasional. Kelayakan calon penerima beasiswa bidikmisi ditentukan dengan menerapkan metode Naïve Bayes. Metode ini dipilih karena mampu mempelajari data kasus sebelumnya yag digunakan sebagai data uji. Penelitian ini telah menghasilkan sebuah aplikasi sistem pendukung keputusan dengan tingkat akurasi sebesar 85.56%.

Abstrak -Penilaian koperasi berprestasi di Dinas Koperasi dan UKM Kota Samarinda masih dilakukan secara manual sehingga membutuhkan waktu yang lama serta kurangnya efektifitas pada hasil yang diperoleh. Sistem Pendukung Keputusan dengan metode Weighted Product (WP) merupakan metode yang efektif karena waktu yang dibutuhkan untuk perhitungan jauh lebih singkat. Tujuan penelitian ini adalah untuk menerapkan metode Weighted Product (WP) dalam membangun sebuah sistem pendukung keputusan berbasis web serta membandingkan hasilnya dengan perhitungan menggunakan metode Analytic Hierarchy Process (AHP). Berdasarkan hasil perbandingan, bahwa kedua metode memberikan hasil yang tidak berbeda dalam urutan perengkingan koperasi berprestasi di Kota Samarinda.Kata kunci -Sistem Penunjang Keputusan, Metode Weighted Product, Metode Analytic Hierarchy Process, Koperasi Berprestasi.Abstract -The assessment on excellent cooperatives in departement of cooperatives and small-medium enterprises in Samarinda was still being done manually, made it took a long time as well as the inefficiency on the gained results. The decision support system with weighted product method is the effective method because it only takes short amount of time. The purpose of this research is to implement weighted product method in building a web based decision support system then comparing the result with analytic hierarchy process method. Based on the results of the comparison, that both methods give results that do not differ in rank order of cooperative achievement in Samarinda.