Stunting is a national program that involves specific and sensitive interventions in it. Activities carried out by cadres are still limited to registering, weighing, measuring length/height, filling out KMS and distributing PMT. Infrastructure facilities at the Posyandu Kenanga are still very limited. The measurement of the body length of toddlers who cannot stand only uses a cloth meter. This will affect the measurement results in the process of monitoring the growth and development of children under five. The purpose of this service activity is to provide education about stunting to improve maternal health literacy and provision of posyandu infrastructure facilities in the form of nameplates and digital baby scales. As a result, from around 54 mothers of children under five who participated in posyandu activities, 24 of them were successfully assessed for pretest and posttest scores. There was an increase in the knowledge score from 73 to 79 with an average of 3,042 increasing to 3,291. The value of the Gain Score calculation shows that the average value of N Gain Score for the experimental class (lecture method) is 12.76% which is included in the ineffective category. The handover of nameplates and digital baby scales is expected to improve the function and role of the posyandu.

Anemia is a lack of blood condition with reduction in hemoglobin as one of indicator.  According to data from the Basic Health Research in 2013, the prevalence of anemia sufferers in Indonesia was high at 37.1%. The figure was almost close to severe public health problems with an anemia prevalence limit of more than 40%. However, this was not accompanied by low public knowledge about anemia.Therefore, researcher created an anemia mobile learning application based on android to increase people knowledge about anemia in everytime.There were quizzes randomly issued using the Linear Congruent Method algorithm. Linear Congruent Method algorithm, which was an algorithm that produced random permutations from a finite set. Testing Linear Congruent Method (LCM) algorithm was able to produce an effective randomization problem, where there was no repetition of the same value if the value of the declared variable meets the determination parameters of the existing LCM Algorithm i.e. the increment value and modulus must be relatively prime.