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Journal : Gaung Informatika

SISTEM PENDUKUNG KEPUTUSAN KLINIS UNTUK MENENTUKAN JENIS GANGGUAN PSIKOLOGI PADA PASIEN GAGAL GINJAL KRONIS (GGK) YANG MENJALANI TERAPI HEMODIALISA Rosmalia, Lia; Kusumadewi, Sri
JURNAL GAUNG INFORMATIKA Vol 11 No 2 (2018): Jurnal Gaung Informatika Vol 11 No 2 Juli 2018
Publisher : JURNAL GAUNG INFORMATIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (587.384 KB)

Abstract

Psychological factors in patients with chronic renal failure conditions are severely affected by prolonged course of the disease, disability and discomfort should depend onthe hemodialysis machine. Hemodialysis therapy in addition to disturbing the physical, complications can trigger mental disorders. Patients with chronic renal failure often have psychological disorders associated with general medical conditions. Anxiety and depression are often psychological disorders experienced. Symptoms that are almost similar to each other will require experts to correctly identify them based on the patients perceived symptoms. Limitations of health practitioners in exploring thepsychological conditions felt by the patient to be one reason for the necessity of a clinical decision support system capable of integrating patient information  (demographic, clinical, social psychological) with a knowledge base with the aim of identifying psychological conditions in a clinical setting that can assist physicians, nurses, psychologists and health practitioners others in making a clinical decision on their patients. The approach in this study uses case-based reasoning (Case-Based Reasoning) (CBR). CBR process through four stages of the process are: retrieve, reuse, revise and retain. If there is a similar case then the reasoning to weigh the nearest case using the Simple Matching Coefficient (SMC) method so that the system is able to streamline the diagnostic process by taking into account the closeness between the base case and the target case. As a result, the system will be able to provide a recommendation picture of the initial diagnosis of the highest percentage of possible types of psychological disturbance suffered with its severity level and the best solution for new cases based on the nearest case solution of the nearest similarity level.
SISTEM PENDUKUNG KEPUTUSAN KLINIS UNTUK MENENTUKAN JENIS GANGGUAN PSIKOLOGI PADA PASIEN GAGAL GINJAL KRONIS (GGK) YANG MENJALANI TERAPI HEMODIALISA Lia Rosmalia; Sri Kusumadewi
JURNAL GAUNG INFORMATIKA Vol 11 No 2 (2018): Jurnal Gaung Informatika Vol 11 No 2 Juli 2018
Publisher : Universitas Sahid Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Psychological factors in patients with chronic renal failure conditions are severely affected by prolonged course of the disease, disability and discomfort should depend onthe hemodialysis machine. Hemodialysis therapy in addition to disturbing the physical, complications can trigger mental disorders. Patients with chronic renal failure often have psychological disorders associated with general medical conditions. Anxiety and depression are often psychological disorders experienced. Symptoms that are almost similar to each other will require experts to correctly identify them based on the patient's perceived symptoms. Limitations of health practitioners in exploring thepsychological conditions felt by the patient to be one reason for the necessity of a clinical decision support system capable of integrating patient information (demographic, clinical, social psychological) with a knowledge base with the aim of identifying psychological conditions in a clinical setting that can assist physicians, nurses, psychologists and health practitioners others in making a clinical decision on their patients. The approach in this study uses case-based reasoning (Case-Based Reasoning) (CBR). CBR process through four stages of the process are: retrieve, reuse, revise and retain. If there is a similar case then the reasoning to weigh the nearest case using the Simple Matching Coefficient (SMC) method so that the system is able to streamline the diagnostic process by taking into account the closeness between the base case and the target case. As a result, the system will be able to provide a recommendation picture of the initial diagnosis of the highest percentage of possible types of psychological disturbance suffered with its severity level and the best solution for new cases based on the nearest case solution of the nearest similarity level.
Co-Authors Abd. Halim Achmad Khodzim Agus Harjoko AGUS RIYANTO Al Amin, Muhammad Zainudin Alatas, Alwi Achmad Alfian Nurlifa Alysia Nurkhalisha Andika, Zikri Dwi Andri Panca Purnama Ardhitya Wiedha Irawan Aridhanyati Arifin Arifianto, July Arkham Zahri Rakhman Arrie Kurniawardhani Bayu Hartono Bediatra, Muhamad Riko Chaela Rosi Budiarti Chandra Putra Pradana Chanifah I. Ratnasari Chanifah Indah Ratnasari Dhina Puspasari Wijaya, Dhina Puspasari Dono Catur Prasetyo Dzikra Rafik Putra Edi Fitriyanto Edi Fitriyanto Elyza Gustri Wahyuni Erlina Marfianti, Erlina Fajar Setiawan Fitriyanto, Raden Edi Frestiany Regina Putri Geralvin Maheswara Gita Putry Nabilah Gita Putry Nabilah, Gita Putry Hardiyanti, Cicin Hari Purnomo Heksaputra, Dadang Helmanatun Nisa Wulandari Heni Pujiastuti Hepi Wahyuningsih Herman Yuliansyah Idham Guswaludin Intan Ruspita Ipin Prasojo, Ipin Isnatin Miladiyah Iswara, Ruhil Izzati Muhimmah Jannah, Helmi Roichatul Kariyam - khanan khanan KHARISMA ERIZON Kholisoh Nur Sinta Kiki Kiki Kukuh Eka Nugraha Kusumaningrum, Trias Pungkur Lia Rosmalia Lia Rosmalia Linda Rosita Lizda Iswari Lusiana Indriasari Sagita Lusiana Indriasari Sagita Magus Sediono Mahesti Rancaksari Mufidah, Nadia Citra Nabila Sholihah, Nabila Nadya Satya Handayani Neny Sulistianingsih Ninki Hermaduanti Numan Numan Nur W. Rahayu Nur Wachid Adi Prasetya Nurhayati Nurhayati Nurlaili Muzayyanah Nurul Bahiyah Nurul Mega Saraswati Pahri, Andi Nur Ilma PandiAstuti, Dien NoorFawziah Parjono, Parjono Rahadian Kurniawan Rakhmat Wahyu Widiantoro Rani Putriana Rani Putriana, Rani Retantyo Wardoyo Rian Anggraeni Ridho Muktiadi Rika Ismayanti Roma Firmansyah Ruslam, Andri Wahyu Ahmad Sabella, Billy Sagala, Muhammad Zikri Khatami Sagita, Lusiana Indriasari Shofwan Hanif Sri Hartati Sri Mulyati sri mulyati Sri Winiarti Subayu, Abdi Sujarwo, Ari Sukma Puspitorini Supardianto Supadianto Syafiul Muzid Syaiful Hendra Tanti, Wa Ode Tedy Rismawan WAHYU PRABOWO Wawan Indarto Wijaya, Guruh Yuantari, Rahma Yuliansyah, Herman Yunita Wisda Tumarta Arif