dikutip dari beberapa sumber.
berikut penjelasan mengenai JK Flip Flop. D Flip Flop, Power Slave Flip Flop:
1. JK Flip Flop
Flip-flop JK yang diberi nama berdasarkan nama masukannya, yaitu J dan
K. Flip-flop ini mengatasi kelemahan flip-flop RS, yang tidak mengizinkan pemberian
masukan R=S= 1, dengan meng-AND-kan masukan dari luar dengan
keluaran seperti dilakukan pada flip-flop T. Rangkaiannya ditunjukkan pada gambar berikut:
gambar di atas adalah Rangkaian dasar dan karakteristik flip-flop JK
Dengan susunan ini, maka masukan J dan K berfungsi tepat sama dengan
masukan S dan R pada flip-flop RS, kecuali untuk J=K=1. Kalau pada flip-flop
RS masukan R=S=1 terlarang, maka pada flip-flop JK, masukan J=K=1 akan
membuat flip-flop JK berfungsi seperti flip-flop T.
Dari tabel keadaan-berikut yang ditunjukkan pada Gambar , dapat
diperoleh bahwa persamaan keadaan-berikut, disebut juga persamaan
karakteristik daripada flip-flop JK, yaitu:
Q+ = Q K+ Q J
Seperti dapat dilihat dari persamaan ini, keadaan flip-flop akan berubah untuk
setiap perubahan masukan J dan K. Ini berarti bahwa flip-flop JK ini bekerja
tak serempak. Untuk memperoleh flip-flop JK yang dapat bekerja serempak
dengan rangkaian lain perlu ditambahkan kelengkapan untuk penabuhan (clocking).
Ini dapat dilakukan dengan meng-AND-kan pulsa CP (clock Pulse) dengan
masukan K dan J seperti yang ditunjukkan pada Gambar 6.8. Perlu dicatat bahwa
untuk flip-flop yang peka terhadap perubahan pulsa negatif, pada masukan CP
diberikan lingkaran kecil seperti pada NOR dan NAND.
IC yang dipakai adalah 7473
2.Flip-flop D
Nama flip-flop ini berasal dari Delay. Flip-flop ini mempunyai hanya satu
masukan, yaitu D. Jenis flip-flop ini sangat banyak dipakai sebagai sel memori
dalam komputer. Pada umumnya flip-flop ini dilengkapi masukan penabuh seperti
ditunjukkan pada Gambar 6.10. Keluaran flip-flop D akan mengikuti
apapun keadaan D pada saat penabuh aktif, yaitu: Q+ = D. Perubahan itu terjadi
hanya apabila sinyal penabuh dibuat berlogika 1 (CP=1) dan tentunya akan
terjadi sesudah selang waktu tertentu, yaitu selama tundaan waktu pada flip-flop
itu. Bila masukan D berubah selagi CP = 0, maka Q tidak akan terpengaruh.
Keadaan Q selama CP= 0 adalah keadaan masukan D tepat sebelum CP berubah
menjadi 0. Dikatakan keadaan keluaran Q dipalang (latched) pada keadaan D
saat perubahan CP dari aktif ke tak-aktif.
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Dengan susunan ini, maka masukan J dan K berfungsi tepat sama dengan
masukan S dan R pada flip-flop RS, kecuali untuk J=K=1. Kalau pada flip-flop
RS masukan R=S=1 terlarang, maka pada flip-flop JK, masukan J=K=1 akan
membuat flip-flop JK berfungsi seperti flip-flop T.
Dari tabel keadaan-berikut yang ditunjukkan pada Gambar , dapat
diperoleh bahwa persamaan keadaan-berikut, disebut juga persamaan
karakteristik daripada flip-flop JK, yaitu:
Q+ = Q K+ Q J
Seperti dapat dilihat dari persamaan ini, keadaan flip-flop akan berubah untuk
setiap perubahan masukan J dan K. Ini berarti bahwa flip-flop JK ini bekerja
tak serempak. Untuk memperoleh flip-flop JK yang dapat bekerja serempak
dengan rangkaian lain perlu ditambahkan kelengkapan untuk penabuhan (clocking).
Ini dapat dilakukan dengan meng-AND-kan pulsa CP (clock Pulse) dengan
masukan K dan J seperti yang ditunjukkan pada Gambar 6.8. Perlu dicatat bahwa
untuk flip-flop yang peka terhadap perubahan pulsa negatif, pada masukan CP
diberikan lingkaran kecil seperti pada NOR dan NAND.
IC yang dipakai adalah 7473
2.Flip-flop D
Nama flip-flop ini berasal dari Delay. Flip-flop ini mempunyai hanya satu
masukan, yaitu D. Jenis flip-flop ini sangat banyak dipakai sebagai sel memori
dalam komputer. Pada umumnya flip-flop ini dilengkapi masukan penabuh seperti
ditunjukkan pada Gambar 6.10. Keluaran flip-flop D akan mengikuti
apapun keadaan D pada saat penabuh aktif, yaitu: Q+ = D. Perubahan itu terjadi
hanya apabila sinyal penabuh dibuat berlogika 1 (CP=1) dan tentunya akan
terjadi sesudah selang waktu tertentu, yaitu selama tundaan waktu pada flip-flop
itu. Bila masukan D berubah selagi CP = 0, maka Q tidak akan terpengaruh.
Keadaan Q selama CP= 0 adalah keadaan masukan D tepat sebelum CP berubah
menjadi 0. Dikatakan keadaan keluaran Q dipalang (latched) pada keadaan D
saat perubahan CP dari aktif ke tak-aktif.
Gambar Flip-flop D. (a) rangkaian dengan NAND, (b) simbol,
(c) tabel kebenaran.
(c) tabel kebenaran.
Dapat dilihat bahwa sebenarnya flip-flop D berfungsi seperti apa yang dilakukan
oleh flip-flop JK bila masukan masukan K dihubungkan dengan komplemen
masukan J.
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)
Master-Slave flip-flop
oleh flip-flop JK bila masukan masukan K dihubungkan dengan komplemen
masukan J.
IC yang dipakai
IC yang dipakai adalah IC 7474
Master-Slave flip-flop
IC yang dipakai IC 74105
Model operasi
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