Did find out that the stable North and South Tempo is a SSI. I tried the logic don't know if I actually did it correctly?
1) What value in what tag are you trying to stabilize? The filter code you posted (post #11) seems to be filtering the raw value of tag out_r and putting the filtered value into tag out_f, while it looks like the actual raw value is in tag east_tempo_whatever and is unaffected by, and has no effect on, the filtering algorithm. Replacing tag name "out_r" in the CPT instruction with tag name "East_tempo_whatever" would make the value of tag out_f be the filtered value of East_tempo_whatever.
2) what is the character of the "jumping around" mentioned in post #1? Is it process noise, measurement noise, or something else? Post #1 used the phrase "rested state," which would seem to eliminate process noise. Any measurement will have noise/error, so investigating, and hopefully eliminating the source of excessive noise as suggested by others (wiring, power supply, grounding, emr induction, etc.) should be the first line of attack.
2.1) if the source of the noise cannot be eliminated, then if the noise is stochastic/gaussian/random, a first order filter only attenuates the noise but does not eliminate it, as can be seen by looking at the formula/algorithm. A periodic or moving average will probably provide a better, and more accurate filtered result. Caveat: the size of the average sample set affects the response time of the filtered value when the raw value is actually changing (increasing our decreasing) to a new mean level.
3) why is the "jumping around" not acceptable? Is it the perception of people looking at a display of the value? Is a PID or other loopback control using the fluctuating value as its PV, and the noise is amplified by the controller chasing the noise?