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All Journal TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Sabila, Inayah
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Analisis Gejala Stroke dalam Konteks Praktek Terapi dengan Metode Certainty Factor Sabila, Inayah
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 5 No 1 (2025): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol5No1.pp17-26

Abstract

Stroke is a serious medical condition that can lead to permanent disability if not treated properly. Early identification of stroke symptoms is crucial in determining appropriate interventions, including alternative therapies such as foot reflexology massage. This study aims to analyze stroke symptoms within the context of reflexology massage practice using the Certainty Factor (CF) method. This method is applied to measure the confidence level of symptoms based on interviews with massage practitioners who independently provide therapy services. The results indicate that the CF method can provide a probabilistic analysis that aids in therapeutic decision-making. By understanding symptoms more accurately, reflexology massage can serve as a complementary approach in stroke patient care.
Analisis Penentuan Prioritas Jenis Penyakit Pada Praktik Terapi Babe dengan Metode Weighted Product Sabila, Inayah
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 5 No 2 (2025): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

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

Abstract

The increasing number of patients with various diseases at the Babe Therapy Practice requires an effective method to determine which diseases should be prioritized in handling. This study aims to analyze the prioritization of disease types using the Weighted Product (WP) method as a decision support approach. Data were obtained through interviews with the practitioner (Babe) and observations of patient records covering seven disease types: uric acid, rheumatism, hypertension, pinched nerves, stomach acid, vertigo, and GERD. The criteria considered include visit frequency, severity level, therapy duration, and therapy cost. Each criterion was given a specific weight based on its level of importance. The calculation results using the WP method show that uric acid (gout) ranks highest, indicating it should receive priority treatment due to its potential to cause kidney complications. This study contributes to the application of decision support systems in therapy practices to improve service effectiveness and patient management.
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