Abstract. This paper introduces an intelligent method for helping people to maintain their healthy by doing a self urinalysis utilising a smartphone camera. A color sensing method using a smartphone camera is designed to determine the value of a reagent strip in a urinalysis dipstick. In the dipstick urinalysis, a color change in each reagent strip is examined. This color change is a result of the reaction of dipstick to the chemical contents of urine including pH, Protein, Glucose, Ketones, Leucocyte, Nitrite, Bilirubine, and Urobilinogen. Performing disptick urinalysis can be done in almost any places even on the very remote area where medical laboratory cannot be found, and it is much easier and cheaper than medical lab visit.The proposed intelligent method includes a framework for color acquisition using a smartphone camera which covers the color management system, color correction, color matching, and quantification. The usage of RGB and CIELAB color space is discussed in the color management part. An automated color constancy approach is introduced to provide a better color correction, and a step-wise linear interpolation is introduced to better estimate the urinalysis value.To implement this proposed method, a closed acquisition box does not required. Disptick capturing can be done directly with a smartphone camera in almost any normal lighting condition.

It is unfortunate that more and more youths are less concerned and are not interested in acquainting and studying Indonesian traditional culture, especially concerning on traditional Indonesian weapons. This fact is noticed from data as collected from several bookstores including online bookstores which the number of books on traditional weapons originating from abroad as published in Indonesia has a significant comparison compared to books on traditional weapons from Indonesia, in a stagerring 1:7 comparisson. Therefore, it is necessary to develop a media that can generate interest in couriosly learning about Indonesian culture, especially when introducing traditional Indonesian weapons. This research was conducted to develop a media in the form of android games that can be applied for the introduction of Indonesian culture, especially traditional weapons. The employed method of game development is the MDA Framework. Evaluation was carried out by using the Playtesting Evaluation and Gameflow methods. The evaluation results related to the concentration of players during game playing presents that the game has given a lot of encouragement to players to play games in several aspects of: game graphics, game sound, game stories, gameplay, simple interfaces, and completion of missions and main objectives regarding traditional Indonesian weapons, trigerring the player interest in playing this game and to maintain their focus throughout the game. In overal, the evaluation results using playtesting evaluation and Gameflow test depicts that a rating above average with an overall rating of 3.61 (72.18%) and the game Mystical Weapon of Nusantara can be accommodated as a medium for the introduction of traditional Indonesian weapons as indicated by the probability of a t-test of 1,169x10-19 which is far below the value of α = 0.05. Thus, it is concluded that there is an improvement in user knowledge, as well as the value of respondent answer showing above the average, which is 3.83 (76.67%).

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ABSTRAKThresholding merupakan metode yang cukup populer untuk segmentasi suatu gambar. Untuk mensegmentasi suatu gambar grayscale menjadi gambar biner, bi-level thresholding bisa digunakan. Sedangkan untuk mensegmentasi citra grayscale ke dalam beberapa varian digunakanlah multi-level thresholding. Metode Maximum Tsallis Entropy (MTT) adalah salah satu metode yang bisa digunakan.untuk pencarian multi threshold pada suatu citra grayscale. Akan tetapi metode ini memiliki waktu komputasi yang sangat besar jika jumlah threshold yang dicari semakin banyak. Oleh karena itu, suatu metode baru diusulkan dalam penelitian ini yang merupakan penggabungan antara metode Maximum Tsallis Entropy dan algoritma Honey Bee Mating Optimization (HBMO) untuk mendapatkan multilevel threshold dari suatu citra grayscale dalam waktu yang relatif singkat. Metode penggabungan yang diusulkan ialah dengan memfungsikan algoritma MTT sebagai alat untuk mencari nilai fitness dari suatu individu dalam algoritma HBMO. Semakin baik nilai fitness yang dimiliki oleh individu, semakin baik pula threshold yang ditemukan. Hasil yang didapat dari ujicoba menunjukkan bahwa algoritma hybrid ini mampu mencari multi threshold dengan tingkat akurasi mencapai 98% dan waktu komputasi hingga 10 kali lebih cepat dibandingkan dengan waktu komputasi dari metode MTT untuk mencari 3 level threshold.

The pathfinding algorithms have commonly used in video games. City 2.5 is an isometric grid-less game which already implements pathfinding algorithms. However, current pathfinding algorithm unable to produce optimal route when it comes to custom shape or concave collider. This research uses A* and a method to choose the start and end node to produce an optimal route. The virtual grid node is generated to make A* works on the grid-less environment. The test results show that A* be able to produce the shortest route in concave or custom obstacles scenarios, but not on the obstacle-less scenarios and tight gap obstacles scenarios.