This research discusses prediction pass rates the certification microsoft office specialist 2013 version (word and excel) aimed to provide information concerning to pass rates and certification give alternative solutions to determine the program certificationi appropriate to chosen before test certification. Naive bayes used for the classification certification graduation where participants know what information pass and did not finish. Naive bayes is a classification with the probability and statistics to predict opportunities in the future based on the Provided before. In this study, system development CRISP-DM to use of the become more ordered and testing done with the BlackBox to test each function is on the application built. From the study, produce values probability of 0.001042 the accuracy of 99 %. These results, proving that naïve bayes method can be used to assist in a prediction graduation rates participants (word and excel), because it produces quite high accuracy. So participants were able to determine the certification program proper chosen before test certification.

With a prediction of profits, farmers can anticipate if the next harvest has experienced a slight profit or failed to harvest and so that farmers still have business capital and they do not experience a stable cage (bankrupt). This research objective is comparing two kind prediction method. Methods to be compared are Triple Exponential Smoothing and Monte Carlo methods. To find out the value of the compatibility of the two methods used MAPE (Mean Absolute Percentage Error) which can find out the percentage of the error value. This method are used for farmers financial management in predict their profit. To implement both methods, past data are used, namely the previous harvest profit data. Result of this study, by using Triple Exponential Smoothing method produces a MAPE value of 12.10% with a value of α = 0.3 and the Monte Carlo method produces a MAPE value of 40.58%.

Kabupaten Indramayu dengan luas 514 km² dikenal sebagai salah satu penghasil ikan laut terbesar di Jawa Barat. Sebagian besar penduduk Kabupaten Indramayu berprofesi sebagai pencari ikan. Sebagian besar nelayan membutuhkan informasi Zona Potensi Penangkapan Ikan (ZPPI) secara realtime untuk dapat mendukung aktivitas mereka. Selama ini para mereka harus menunggu datangnya informasi ZPPI yang menggunakan media SMS dari Lembaga Penerbangan dan Antariksa Nasional (LAPAN) dengan perantara Dinas Perikanan dan Kelautan (Diskanla) Kec. Indramayu. Kendala yang dihadapi adalah keterlambatan penyampaian informasi ZPPI kepada para nelayan sehingga hasil tangkapan laut menjadi tidak maksimal. Berdasarkan masalah tersebut diperlukan sistem yang dapat menyajikan informasi ZPPI yang difasilitasi oleh sistem pencarian Zona Tangkapan Terdekat (ZTT). Sistem pemberian informasi ZPPI ini menggunakan media aplikasi dalam platform Android yang nantinya digunakan untuk melihat titik koordinat ZPPI dan pencarian ZTT. Melalui sistem pencarian zona titik terdekat dengan metode Haversine, aplikasi tersebut dapat mengambil keputusan untuk menyediakan informasi titik ZPPI terdekat.

This research discusses the Certification Scheduling application (SITASI) / processing website that can manage data and schedule certification activities which aim to assist ITCC assistants and laboratory heads in carrying out certification activities. Difficulties in data management are known to still run sequentially using different software, thus causing inefficiency in time utilization. In the design of this application, the author uses the RATIONAL UNIFIED PROCESS (RUP) method which ensures practically using the Unified Modeling Language (UML) or object-oriented. Based on the implementation of the method in the design of the SItasi application, it has been proven that the application can assist ITCC in managing data and scheduling certification to be integrated so that the creation of an integrated application door that is used for effective use of time is fulfilled.

Today's air pollution is increasingly showing a very alarming condition. Sources of air pollution can come from various activities, including industry, transportation, offices, and housing. These various activities are the biggest contribution of air pollutants that are released into free air. The impact of air pollution is causing a decrease in air quality, which has a negative impact on human health. Based on it, we intend to research and create a prototype of an indoor air detector that is not only portable, but also compact, wearable (can be attached to the body/carried), applicable (easy to use), accessible, and connected to smart phones and websites. The device will monitor the indoor air quality and the results will be sent directly to the connected smart phone and will be stored in the cloud media and can also be accessed via the website. In general, this research will involve 3 connected and integrated devices, namely: air quality measurement device, application on a smart phone and a website and its storage media. This device can be used by everyone, where the data obtained by the device at a certain location, can be a contribution and useful information for others (person-to-person/P2P), and in a system, can work automatically and independently (machine-to-machine/M2M). With the above background, there is a need for a device that is not only affordable but can also be connected to a mobile phone and the internet is an urgent need. The team intends to conduct a study on the device and call it a Measuring Device for Indoor Air Quality or MEDIA-Q.