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SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN DOSIS OBAT PADA ANAK MENGGUNAKAN METODE FORWARD CHAINING (Studi Kasus Di Klinik Dokter Umum Karanggayam - Srengat) Udkhiati Mawaddah; Muchtar Fauzi
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 12 No 1 (2018): Mei 2018
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (516.41 KB) | DOI: 10.35457/antivirus.v12i1.440

Abstract

Pembahasan utama dalam skripsi ini adalah perancangan dan pembuatan sistempendukung keputusan dengan metode forward chaining. Penelitian dalam skripsi inimenggunakan subjek penyakit anak dan dosis obat anak karena penentuan jenis penyakit dan dosis obat pada anak yang dilakukan sebelumnya masih ditentukan oleh dokter sendiri.Metode yang digunakan dalam pembuatan sistem pendukung keputusan ini adalah forward chaining untuk menentukan jenis penyakit pada pasien, di mana sistem digerakkan oleh fakta-fakta yang ada. Fakta tersebut diperoleh dari kondisi fisik pasien, atau disebut dengan gejala. Dalam pembuatan sistem pendukung keputusan ini diperlukan penggalian data yang bersumber pada pakar, dalam hal ini adalah dokter. Proses pengujian sistem pendukung keputusan ini menggunakan angket. Berdasarkan hasil kuisioner, sistem pendukung keputusan ini memiliki prosentase kemudahan program untuk digunakan oleh pengguna adalah sebesar 48,8%. Selain itu kesesuaian program ini juga mendapatkan prosentase yang besar juga.
Application of the Combination of SMART and TOPSIS Methods in the Decision Support System for the Selection of KIP-K Recipients in Students of the Islamic University of Balitar Alwan Fauzaan; Haris Yuana; Udkhiati Mawaddah
Journal of Advances in Information and Industrial Technology Vol. 7 No. 1 (2025): May
Publisher : LPPM Telkom University Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/jaiit.v7i1.603

Abstract

This research aims to develop a decision support system that combines the Simple Multi-Attribute Rating Technique (SMART) method and the Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS) in the selection process for recipients of the Indonesia Smart Lecture Card (KIP-K) at the Islamic University of Balitar. The KIP-K program is an initiative of the Indonesian government to provide financial assistance to students with economic limitations but high academic potential, aiming to increase access to higher education for the underprivileged. However, in the implementation at the Islamic University of Balitar, there was an obstacle when several students who should have met the requirements and were entitled to receive the KIP-Lecture did not get it. The process without a structured calculation method and the calculation of data that is carried out individually are the main problems. This study collected and analyzed data on prospective KIP-K recipients with a decision support system developed. The research stages include data collection, normalization of criterion weights using the SMART method, and calculating priority scores using the TOPSIS method. The results of this system are measured using confusion matrix to evaluate the recommendation's accuracy. Using a confusion matrix shows that the resulting recommendation system has an accuracy rate of around 94.92%, precision of around 93.75%, recall of around 93.75%, and F1-score of 93.75, which is included in the excellent classification. This proves that combining methods can provide results based on the selection needs of KIP-K recipients at the Islamic University of Balitar.