Clinical Decision Diagnosis Support System for Complementary and Alternative Medicine Practitioners in Lifestyle-related Diseases Management

Chronic diseases accounted for 60% of all deaths – corresponding to a projected 36.65 million deaths worldwide in 2007. 2.8% of the world population suffers from diabetes mellitus and it may cross 5.4% by the year 2025. Hypertension is a major burden on health care. Prevalence of lifestyle-related diseases increases. Low accessibility to and non-affordability of orthodox medicine by rural dwellers and their need to keep healthy to be economically productive have led to their dependence on medicinal plants to remedy afflictions. Complementary and Alternative Medicine (CAM) attracts patronage due to patients’ dissatisfaction with conventional health care, a desire for treatment and care that work, good relationship with practitioner, provision of information, a desire for greater control over one’s health, and a desire for cultural and philosophical congruence with personal beliefs about health and illness. Medicinal plants’ threatened sustainability makes adulteration and species’ substitutions reduce their efficacy, quality and safety. It was found that CAM practitioners who participated in this study relied heavily upon knowledge that had 'stood the test of time' (traditional theory and practice) and 'that which worked' (experientially based knowledge) as the basis for clinical decision-making. The safe, effective and efficient delivery of client care is informed primarily by sound clinical decision making. Body mass index (BMI) plays a significant role in the process. Strategies that guide practitioners through the process of decision making may not only foster professional excellence in CAM practice, but also help to improve the quality of client care. Clinical decision-making is a complex process that is reliant on accurate and timely information. Clinicians are dependent (or should be dependent) on massive amounts of information and knowledge to make decisions that are in the best interest of the patient. CAM practitioners of modern time need currency and timeliness on computations of patients’ body mass index, waist circumference and body shape combination; product/therapy data on therapeutic efficacy; product quality and safety; adverse reactions and herb-drug interactions. This paper presents a clinical decision diagnosis system supporting CAM practitioners to effectively treat emerging lifestyle-related diseases with medicinal plants. Keywords: body mass index, complementary and alternative medicine, lifestyle-related diseases, medicinal plants, clinical decision support syste

Group Decision Support System untuk Pembelian Rumah dengan Menggunakan Analytical Hierarchy Process (Ahp) dan Borda

Seiring dengan pertumbuhan penduduk, kebutuhan rumah sebagai kebutuhan pokok manusia ikut pun meningkat. Banyak cara dilakukan orang untuk memenuhi kebutuhan tersebut, antara lain dengan membangun sendiri, membeli dari orang lain, atau dengan membeli rumah di suatu Perumahan. Calon pembeli rumah tentu memiliki kriteria-kriteria yang menjadi pertimbangan dalam memilih suatu rumah. Banyak kriteria yang ada sering diikuti dengan tersedianya lebih dari satu pilihan rumah yang dapat memenuhi kriteria-kriteria tersebut. Oleh karena itu, penulis membuat suatu Sistem Pendukung Keputusan untuk Pembelian Rumah yang nantinya akan membantu para calon pembeli rumah dalam menentukan pilihan rumah yang akan dibelinya. Untuk metode pengambilan keputusan yang digunakan dalam sistem ini adalah analytical hierarchy process (AHP). AHP adalah salah satu bentuk model pengambilan keputusan yang cocok digunakan untuk permasalahan yang multi-kriteria dan multi-alternatif dengan input utamanya adalah persepsi manusia. Dan dikarenakan proses pengambilan keputusan pembelian rumah biasanya melibatkan lebih dari satu orang (keluarga), maka diperlukan adanya suatu teknik pengambilan keputusan secara kelompok (group decision support system). Borda adalah salah satu metode pengambilan keputusan kelompok yang bisa menggabungkan hasil analisa persepsi (hasil analisa AHP) dari beberapa pengambil keputusan. Sehingga keputusan pembelian rumah yang dihasilkan bisa diterima oleh semua pihak pengambil keputusan (keluarga)

Decision Support System Tool Untuk Penyelesaian Permasalahan Linear Berbasis Simplex Dan Revised Simplex

Pada permasalahan optimasi sumber daya, baik itu minimalisasi biaya ataupun maksimalisasi keuntungan,yang bersifat linear, dapat dibuat sebuah tool yang berguna untuk membantu menyelesaikan permasalahantersebut sehingga didapat hasil kombinasi sumber daya yang optimal. Sistem ini dirancang untuk dapatmenangani berbagai bidang permasalahan linier karena sifatnya yang terbuka. DSS tool ini akan menggunakanmetode penyelesaian simplex atau revised simplex dalam membantu penyelesaian permasalahannya. Namunsebelum menerapkan permasalahan linear yang dihadapi pada tool yang telah dibuat, terlebih dahulu perluuntuk melakukan pembentukan model matematika dari permasalahan tersebut. Dengan memanfaatkan DSS toolini, maka semua permasalahan linear akan dapat diselesaikan dengan tepat dan cepat

Development of Decision Support System Determining the Student as Scholarship Recipients by Fuzzy Multi Attribute Decision Making (Fmadm)

This research is the design of a decision support system (DSS) to determining the student as scholarship recipients of the STMIK Pelita Nusantara, Medan, Indonesia, with the approach of Fuzzy Multi Attribute Decision Making (FMADM) with TOPSIS method. Approach to Fuzzy Multiple Attribute Decision Making (FMADM) by specifying the values of the weights for each of the criteria or attributes and TOPSIS method for selecting student scholarship recipients. Implementation of a decision support system that can show the interaction of the user with the software application built using Visual Basic 2008 programming language. Conclusion the results obtained from the discussion shows that the approach with FMADM TOPSIS give final value calculation results ordered that can help decision makers determine the student deserves the scholarship. The existence of a decision support system that has been designed so the process of determining a student scholarship recipients more accurately, quickly, and accurately

Decision Support System Selection Position Of High Leadership Of Pratama In Katingan Regency With Simple Additive Weighting Method

The issue addressed in this research is how to design and build an expert systemwhich capable of diagnosing dog diseases that are caused by parasites, and how this expertsystem later can be useful for dog owners.This expert system is developed based on website technology in order to ease theaccessibility for the users. The finished product is expected to become useful for dog owners,to help them diagnose their dog disease based on the symptoms in order to give the propertreatment. The software development methodology used to develop this expert system is theWaterfall methodology, while the design is done using Unified Modeling Language (UML).The programming language used to build the expert system is PHP for the logic and MySQLfor the database, and the finished product is then tested using black box testing method. Totest system accuracy, disease diagnosis results from the expert system is then compared withdiagnosis results from the real human expert (veterinarian).This expert system is using forward chaining method and Bayes theorem. The forwardchaining concept, in this system, starting with the symptoms that are set into a reasoning andrules to reach some conclusions which in this case are the possible diseases. While the Bayestheorem is used to draw a conclusion from the possible diseases by calculating the probabilityof what kind of disease suffered based on the symptoms, and the weight of the probabilityitself. This expert system, however, still can be developed not only to diagnose diseases thatare caused by parasites, but also to diagnose all kind of dog diseases

Decision Support System Penyaluran Kredit USAha Rakyat (Kur) Mikro Menggunakan Metode Analytical Hierarchy Process (Ahp)

During the period of 2008 the distribution of KUR (Kredit Usaha Rakyat) is very effective when compared with the period of 2009. KUR velocity distribution may be due to the high banks inchanneling the spirit of KUR, is quite effective dissemination among the banking and society,policy ATMR (Aktiva Tertimbang Menurut Risiko) are more lax and the many demands ofprospective borrowers KUR decent but less bankable. The purpose of this paper is makingObtaining priority weight of each factor and alternative options to choose borrowers who receivedmicro-enterprise credit people with the greatest priority. Method this study outlined three stages in solving the problem. The first phase, analysiswas conducted to analyze the problem. The second step is data collection began with thedistribution of questionnaires, observation, interview and literature study. Data analysis phase asthe third stage, data analysis methods will be used is Analytical Hierarchy Process (AHP) indecision-making with the Expert Choice program analysis which is a computer software todetermine the choices in making decisions with multiple criteria decision making based on themethodology developed by Saaty. Results Decision Support system Kredit Usaha Rakyat Mikro disbursement by the banks which consists of six criteria: income level, frequency of credit, length of business, venture capital, education, loan repayment. The highest weighting is the criteria for venture capital, followed by the frequency of credit, length of business, income level, educational level and the last time loan repayment. Priority for the alternative name for the micro business sector borrowers candidate Peoples Business Loan (KUR) Micro getting KUR Micro is Food Enterprises, grocery and Business Enterprises Business Services and Agriculture and Fisheries