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Records

Records. Dasar Pemrograman. RECORDS. Record data types—a complex type that combines different data types into a single record. Sometimes called set types. The individual elements of a record are called fields or components or component fields. RECORDS.

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Records

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  1. Records DasarPemrograman

  2. RECORDS • Record data types—a complex type that combines different data types into a single record. • Sometimes called set types. • The individual elements of a record are called fields or components or component fields.

  3. RECORDS • Each field has a name . . .the field identifier. • The field identifiers provide a means of accessing each field in the record, similar to an array index. • Each field has a type, which is established when the record is declared. • The value of a record is a collection of values. There is a value in each field.

  4. RECORDS • The component of a record variable is a component variable. • . field identifier . . .specifies a component variable. • e g: Business1.PresidentsLastName • Though a record is a collection of values, it can sometimes be treated as a single value.

  5. RECORDS • So . . . • The record variable describes the raw record. • Record value indicates all the values in the record. • Component values indicate the field values. • Field identifiers name the fields in record.

  6. Syntax • type • Business = • record • BusinessName: string[30]; • StreetAddress: string[35] • City: string[20]; • State: string[2]; • zip: integer; • end;

  7. A programmer may want to structure data with a hierarchy of records. • e g: • student identification • birth date and age • core courses . . .etc . . .

  8. Data Structures • Records for a group may be read into an array. • Thus, we see that . . . • data structuresare a means of organizing, storing and manipulating data. • How do we chose which structure to use? • Everything being equal, chose the one that can be understood and worked with most easily.

  9. Options… • If all items are of the same type . . .a single array of that type works best. • If items differ in type, use an array of records.

  10. with statements . . . • With provides instruction(s) to carry out an operation. • Syntax • withrecord_variable_listdo • statement (usually compound) • The records_variable_list is separated by commas.

  11. with statements . . . • Instead of writing the syntax like this: Data.npm :=‘22297566’ Data.Nama:=‘Abdul Kadir’ Data.Fakultas:=‘Teknik’ We can replace using with expression: WITH Data Do Begin npm :=‘22297566’ Nama:=‘Abdul Kadir’ Fakultas:=‘Teknik’ end;

  12. Example of array of record

  13. Example of record of array Type barang= RECORD nmbrg:string[20]; jmlbrg:array[1..3]of byte; hrgbrg:real; total:real; end; varjual:barang; tbarang, i:integer; Begin clrscr; write(‘NamaBarang :’);readln(jual.nmbrg); for i:=1to 3 do begin write(‘Jumlah barang ’,I,’ : ’);readln(jual.jmlbrg[i]); tbarang:=tbarang+jual.jmlbrg[i]; end; write(‘Hargabarang :’);readln(jual.hrgbrg); jual.total:=tbarang*jual.hrgbrg; writeln(‘Total Harga Barang = ‘, jual.total:10:2); end.

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