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PENYULUHAN MELAHIRKAN GENERASI EMAS KEPADA MASYARAKAT DESA LUMBAN PEA TIMUR, KABUPATEN TOBA Jekson Martiar Siahaan; Juli Jamnasi; Juli Y. Mega; Laura Octavina Siagian; Lesmana Syahrir; Lylys Surjani; Maestro B. U. Simanjuntak; Paul S. M. L. Tobing; Suryati Sinurat; Tengku M. Fauzi; Eka Samuel P. Hutasoit; Jan Pieter Sihombing; Hadyanto Lim; Hendrika A. Silitonga; Ronald T. H. Tambunan; Menang Bastanta Tarigan; Salomo G. U. Simanjuntak; Sumihar M. R. Pasaribu; Putri C. Eyanoer; Dina Riani Purba; Yohanna Agustina Sinaga
Jurnal Pengabdian Pada Masyarakat METHABDI Vol 2 No 1 (2022): Jurnal Pengabdian Pada Masyarakat METHABDI
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (906.228 KB) | DOI: 10.46880/methabdi.Vol2No1.pp70-73

Abstract

Community Service (PkM) is carried out by the Faculty of Medicine Universitas Methodist Indonesia by providing counselling how to prepare the Gold Generation. PkM was held on 8-11 June 2022 at Lumban Pea Timur, Balige,Toba District, North Sumatera. The method used is to provide counselling/lectures and provide motivation, then followed by question and answer to obtain results and solutions as a form of solving problems and obstacles faced. The results of PkM with counselling are very effective considering that there are still many people who do not get information about the meaning of Gold Generation. With this counselling, the public becomes aware of the Gold Generation. Thus, it is hoped that the people of Lumban Pea Timur will aware and know how to prepare the Gold Generation for their community
DIAGNOSA AWAL PENYAKIT IBU HAMIL DENGAN PENDEKATAN CERTAINTY FACTOR Eka Samuel P. Hutasoit; Darwis Robinson Manalu
Majalah Ilmiah METHODA Vol. 8 No. 2 (2018): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methoda.Vol8No2.pp83-92

Abstract

Lack of knowledge about the early diagnosis of disease in pregnant women is very risky and can cause death. So it is very necessary to do socialization early to anticipate this. Based on the results of existing surveys if the handling is late, the mortality rate of pregnant women can increase. Then the use of technology and applications to help users (pregnant women) in making diagnoses before meeting with experts to help in knowing and detecting symptoms experienced. To produce the right solution, data from experts on disease diagnosis for pregnant women is needed to be included as a knowledge base in the system. This study uses the approach or method of Certainty Factor (CF), namely by calculating according to the weight given by the expert and the answers given by the user. The aim is to help and provide a level of user confidence in diagnosing diseases with high accuracy. The results of the tests carried out by testing validation and accuracy between expert systems and those carried out by experts obtained a diagnosis with the same CFCombine value ..