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

Convert Decimal to Roman in Java

Converting Decimal to Roman, such as the example 3120 = MMMCXX

Algorithms Used:
1. If multiples of 1000 replaced by the M
2. If the rest above 900 added CM
3. If the rest above 500 added D
4. If the rest above 400 added CD
5. If the rest multiples of 100 replaced with C //repeat multiplication algorithm of 1000
6. If the rest above 90 added XC
7. If the rest above 50 added L
8. If the rest above 40 added CL
9. If the rest multiples of 10 replaced with C //repeat multiplication algorithm of 1000 or 100
10. If the rest above 9 added IX
11. If the rest above 5 added V
12. If the rest above 4 added IV
13. The rest added I

For the above 1000 repeat multiplication algorithm of 1000 by find the number in Roman symbol

Naive Bayes untuk Pengambilan Keputusan - Part II

Post ini merupakan lanjutan post sebelumnya tentang Naive Bayes di sini

Studi Kasus penggunaan Naive Bayes:
Misalkan, kita akan mengambil suatu keputusan kredit menggunakan Naive Bayes pada nasabah baru, maka sebelum kita mengambil keputusan, kita memerlukan dasar untuk itu. Model yang terbentuk dari metode Naive Bayes lah yang akan menjadi dasar tersebut (pendukung keputusan). Model ini dibentuk dari data nasabah yang sebelumnya telah ada. Misalkan kita mengambil variabel pilihan: jenis kelamin, pekerjaan, dan untuk inputan: gaji dan umur.

Data Nasabah yang telah diberikan Keputusan

Pengambilan Keputusan menggunakan Analytical Hierarchy Process (AHP)

Analytical Hierarchy Process (AHP) adalah suatu metode pengambilan keputusan dengan melakukan perbandingan berpasangan antara kriteria pilihan dan juga perbandingan berpasangan antara pilihan yang ada. Permasalahan pengambilan keputusan dengan AHP umunya dikomposisikan menjadi kriteria, dan alternatif pilihan.

Tahapan dalam AHP:
1. Tentukan tujuan dari Analisis. Contoh: Pemilihan Komputer
2. Tentukan kriteria yang diperlukan. Contoh: Kehandalan, Model, Harga
3. Tentukan alternatif pilihan. Contoh: Asus, Lenovo, Vaio, Dell

User kemudian memberi peniliaian (tingkat kepentingan relatif) pada setiap kriteria yang ada.
Contoh:
1. Kehandalan 4x lebih penting dari Model
2. Harga 6x lebih penting dari Model
3. Kehandalan 2x lebih penting dari Harga

sehingga memunculkan matrix sebagai berikut:

atau dalam desimal:

Mengenal Codeigniter MVC Berbasis PHP

MVC kependekan dari Model View Controller, merupakan suatu konsep yang memilah coding menjadi tiga bagian yaitu bagian Model, bagian View, dan bagian Controller. Bagian model memuat tentang hal-hal yang berkaitan dengan internal sistem dan umumnya tidak terlihat oleh user. Bagian view memuat fasilitas-fasilitas yang bisa dilihat oleh user. dan Controller berisikan fungsi-fungsi pemilahan kontrol dan pengendalian event yang dibangkitkan oleh user. Salah satu framework yang berkerja berdasarkan konsep MVC pada pemrograman PHP adalah Codeignitier.

MVC pada umumnya