Besakih Temple Ceremony

Mount Rinjani Summit View from the Top

Mount Rinjani Summit View from the Top
Mount Rinjani elevation is 3726 m
Location at Gunung Rinjani National Park Lombok West Nusa Tenggara Indonesia
Video recorded on July 12 2015

Rinjani, one of the tallest volcano mountain in Indonesia. It is the third one after Kerinci, located in Lombok, Nusa Tenggara Barat. The elevation of this mount is 3728 metres, very high. Well, in this blog, I or we would like to tell you about the story. The story of the adventure, about to climb this mount, about what happen, how and anything, of course about Rinjani. Preparation Before we depart to Lombok (we are from Bali), we accomplished some of preparations. What we have to prepare, of course, the first thing, anything information about Rinjani. According to the information, that day we known, to reach the top of Rinjani, its spent at least 3 days. Well as we known it would be spent that much day, we prepare some accommodations. What we pack: Personal: Clothes(1 piece of short, 2 pieces long-sleeves, 2 pants, jacket, caps, and the others that make you warm), Lamp, Foods, Personal Medicine needs, Sleeping bag, Raining coat, camera, and make sure you are in fit condition Group: Tent, Cooking equipments, Fishing equipments(fishing at lake Segara Anak) We depart from Bali by two groups, by airplane and by ship. By airplane, its cost about 600,000IDR for two ways from to Lombok, 30 minutes from Ngurah Rai to International Airport Lombok, and by ship, its about 200,000IDR per motorbike, 4 hours from Padang Bay to Lembar Harbor. Oh yeah, almost forgot to introduce we, the member of the team, are me(Mande), Laksmi, Diyana, and Suari

Implementation of Naive Bayes method for Decision Support

Naive Bayes use case studies:
For example, we will take a decision for a loan using Naive Bayes for a new customer, before we do that, we need a supporting base for it. The model that created from Naive Bayes method was the one which would be the basis (for decision support). This model created from the customer data that already existed. We take some of variables from the data, for example: character, occupation, salary, and age.

Customer Data that has been given Loan Decision
and we will give a decision for Putu using Naive Bayes