Waahhh..wahh.waahhh,,,,,,,
Ternyata sudah minggu kelima mata kuliah Al-pro... Makin menegangkan tentunya,, masih banyak yang belum di pahami dan perlu pemahaman yang tentunya harus sangat baik....
Mengingat masih banyak yang belum di pahami dan juga ada hubungannya dengan bahan ajar selanjutnya Bapak Al-pro Menyuruh kami mereview materi pertemuan pertama sampai pertemuan keempat,,, jadi minggu kelima itu kami hanya mengulang materi-materi sebelumnya,,, hal itu adalah syarat kami agar kami dapat memahami materi selanjutnya tentang SUBPROGRAM yang akan mengadaptasi materi-materi sebelumnya,,,,
Masih banyak yang belum paham tentang materi sebelumnya,,, sehingga butuh belajar lagi untuk dapat mengerti,, kebanyakan dari kami malas dan tidak mau beruasaha untuk tahu, dan mengerjakan sendiri ,, hanya menunggu teman lainnya yang programnya sudah jadi,, maka dari itu kami jadi kurang memahami materi-materi yang di berikan karena kammi hanya menunggu teman dan menyontek (saya salah satunya...hehehe) ,, maka dari itu marilah kita belajar dan berusaha belajar mandiri untuk dapat memahami al-pro dengan mudah berkelompok juga dapat memudahkan kita untuk belajar dengan semangat,,,...
persiapan yang matang akan memudahkan kita menghadapi hari esok dengan mudah dan bersemangat/.....
let's go guyss.. let's change our class to be the best than other class...
28 Mar 2012
25 Mar 2012
Mengkonversi Suhu
Kemarin saya belajar sama kelompok TP saya.... kami membahas tentang cara mengkonversi suhu,, susah-susah gampang sihh.. tapi akhirnya jadi juga cuuyyy,,, hehehe... lama kelamaan saya mulai terbiasa dengan Al-Pro.. karena tiap hari yang di liat al-pro terus,, lama-lama jadi senang dengan dengan al-pro,,, jadi terus belajar dan makin ngerti dehh sama program-program di al-pro.. hehe
cuma saya masih banyak kekurangan dan masih banyak yang belum di mengerti di Mata kuliah ini,, karena semakin lama semakin sulit,,, tapi kalu kita berusaha bisa kok,,
kayak ini nihh,, program yang saya coba,,, sebenarnya sihh liat di diktat kuliah,,, tapi setelah di pelajari jadi mengerti dan mudah di pahami.....
ini dia programnya sderhana di liat tapi sulit.. hehe
![](data:image/png;base64,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)
nahh.. program di atas akan saya compile ke C++... tapi hanya program yang sederhana tidak pakai operator class atau yang lainnya... soalnya masih kurang ngerti nihh,, hehe
ini dia programnya..
#include <iostream>
#include <string>
using namespace std;
int main()
{
double r, k, c, f;
cout << "Masukkan besar suhu (C):" << endl;
cin >> c;
r =4/5*c;
f =9/5*c+32;
k =c+273;
cout << r << endl; cout << f << endl; cout << k << endl;
system("PAUSE");
return 0;
}
Nahh,, itu contoh programnya.... semoga bisa membantu teman-teman semua... dan saya juga semakin mengerti tentang algoritma...
Algoritma is Fun,,..!!
cuma saya masih banyak kekurangan dan masih banyak yang belum di mengerti di Mata kuliah ini,, karena semakin lama semakin sulit,,, tapi kalu kita berusaha bisa kok,,
kayak ini nihh,, program yang saya coba,,, sebenarnya sihh liat di diktat kuliah,,, tapi setelah di pelajari jadi mengerti dan mudah di pahami.....
ini dia programnya sderhana di liat tapi sulit.. hehe
nahh.. program di atas akan saya compile ke C++... tapi hanya program yang sederhana tidak pakai operator class atau yang lainnya... soalnya masih kurang ngerti nihh,, hehe
ini dia programnya..
#include <iostream>
#include <string>
using namespace std;
int main()
{
double r, k, c, f;
cout << "Masukkan besar suhu (C):" << endl;
cin >> c;
r =4/5*c;
f =9/5*c+32;
k =c+273;
cout << r << endl; cout << f << endl; cout << k << endl;
system("PAUSE");
return 0;
}
Nahh,, itu contoh programnya.... semoga bisa membantu teman-teman semua... dan saya juga semakin mengerti tentang algoritma...
Algoritma is Fun,,..!!
Menghitung Rata-Rata Menggunakan Looping
kali ini saya akan menshare tentang menghitung rata menggunakan looping...
let's we see....
![](data:image/png;base64,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)
program di atas adalah program sederhana untuk menentukan rata-rata menggunakan perulangan,.....
selamat mencoba dan semoga berhasil ya teman-teman semuanya.....
keep fight...!!!
let's we see....
program di atas adalah program sederhana untuk menentukan rata-rata menggunakan perulangan,.....
selamat mencoba dan semoga berhasil ya teman-teman semuanya.....
keep fight...!!!
Menentukan Akar Persamaan Kuadrat
Tadi saya belajar dengan teman di kelompok TP,,, kami membahas tentang menentukan akar imajiner... setelah berkali-kali mencoba dan selalu gagal akhirnya programnya running juga... hehe.. tapi saya gag tw apakah program itu benar atau tidakk,,, mohon kalau salah di benerin ya mana yang salah,,
ini nih programnya :
![](data:image/png;base64,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)
nah itu dia programnya teman-teman tapi saya ragu apakah itu benar atau tidak,, karena saya masih lemah dalam penentuan rumus yang di pakai di dalam Raptor.. maklum masih pemula... hehe
selamat mencoba program di atas kalau running alhamdulillah... kalau gag running mohon di cari ya letak kesalahannya....
terima kasih... nice see you next time...
ini nih programnya :
nah itu dia programnya teman-teman tapi saya ragu apakah itu benar atau tidak,, karena saya masih lemah dalam penentuan rumus yang di pakai di dalam Raptor.. maklum masih pemula... hehe
selamat mencoba program di atas kalau running alhamdulillah... kalau gag running mohon di cari ya letak kesalahannya....
terima kasih... nice see you next time...
Menghitung Volume dan luas permukaan kubus
Nah,, teman teman semua sekarang saya mau share hasil belajar mandiri saya dalam mengerjakan soal pretest dan postest praktikum pertama Al-pro... cek this out.. hehhe
ni dia nih programnya mbak-mbak dan mas-mas...
![](data:image/png;base64,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)
program di atas akan saya compile ke C++...
berhubung saya masih kurang dalam penggunaan operator overloading jadi saya hanya akan mengompile nya dengan program sederhana saja dulu ya.. dan saya akan terus belajar supaya bisa pakai operator overloading,,,,
saya pakenya operator class,, jadinya seperti ini... kalo ada kesalahan tolong di benarkan ya...
#include <cstdlib>
#include <iostream>
using namespace std;
class kubus{
private:
double s, l, v;
public:
void input();
double luas();
double volume();
void output();
};
void kubus::input(){
cout<<"masukkan sisi kubus: ";
cin>>s;
}
double kubus::luas(){
l=6*s*s;
return l;
}
double kubus::volume(){
v=s*s*s;
return v;
}
void kubus::output(){
cout<<"luas permukaan kubus adalah: "<<l<<endl;
cout<<"volume kubus adalah: "<<v<<endl;
}
int main(int argc, char *argv[])
{
kubus x;
x.input();
x.luas();
x.volume();
x.output();
system("PAUSE");
return EXIT_SUCCESS;
}
sebenarnya Al-Pro itu mudah hanya kita yang terkadang tidak mau belajar dan tidak mau berusaha mengerjakan soal yang di anggap tidak mudah ... jadi mulai sekarang berusahalah untuk betah-betah di depan komputer bukan untuk fb-an atau twitteran,, tapi untuk membuat program,, hehehe semoga saya juga bisa seperti itu... wkwkwk
ni dia nih programnya mbak-mbak dan mas-mas...
program di atas akan saya compile ke C++...
berhubung saya masih kurang dalam penggunaan operator overloading jadi saya hanya akan mengompile nya dengan program sederhana saja dulu ya.. dan saya akan terus belajar supaya bisa pakai operator overloading,,,,
saya pakenya operator class,, jadinya seperti ini... kalo ada kesalahan tolong di benarkan ya...
#include <cstdlib>
#include <iostream>
using namespace std;
class kubus{
private:
double s, l, v;
public:
void input();
double luas();
double volume();
void output();
};
void kubus::input(){
cout<<"masukkan sisi kubus: ";
cin>>s;
}
double kubus::luas(){
l=6*s*s;
return l;
}
double kubus::volume(){
v=s*s*s;
return v;
}
void kubus::output(){
cout<<"luas permukaan kubus adalah: "<<l<<endl;
cout<<"volume kubus adalah: "<<v<<endl;
}
int main(int argc, char *argv[])
{
kubus x;
x.input();
x.luas();
x.volume();
x.output();
system("PAUSE");
return EXIT_SUCCESS;
}
sebenarnya Al-Pro itu mudah hanya kita yang terkadang tidak mau belajar dan tidak mau berusaha mengerjakan soal yang di anggap tidak mudah ... jadi mulai sekarang berusahalah untuk betah-betah di depan komputer bukan untuk fb-an atau twitteran,, tapi untuk membuat program,, hehehe semoga saya juga bisa seperti itu... wkwkwk
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