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All Journal Jurnal Nasional Komputasi dan Teknologi Informasi IJISTECH (International Journal Of Information System & Technology) Akrab Juara : Jurnal Ilmu-ilmu Sosial IJISTECH
Elvi Sunita Perangin-angin
Universitas Bina Sarana Informatika
Aerospace Engineering Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Medicine & Pharmacology Neuroscience Social Sciences Transportation

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Journal : IJISTECH

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Determination of Business Location by Using Analytical Hierarchy Process (AHP) and Weighted Product (WP) Embun Fajar Wati; Elvi Sunita Perangin-Angin
IJISTECH (International Journal of Information System and Technology) Vol 6, No 3 (2022): October
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i3.253

Abstract

Information technology that is currently developing provides opportunities for business actors to develop their business. One of the factors that make a business grow is the location of the business. It is not easy to determine the appropriate business location, so various selections are needed so as to be able to measure the feasibility of the location. The existence of a decision support system can assist in making decisions about determining the location. The method chosen is the AHP method combined with the WP method. To get the value calculated by the AHP method, data collection by interview and observation was used. The literature study is used in the calculation stages with the AHP and WP methods. The use of a combination of AHP and WP methods in determining the location of the business gives a ranking result, with the highest score achieved by the Royal location of 0.617 and the lowest value achieved by the Poris location of 0.094. After observing the new location, Royal for 3 months, there was an increase in sales in the first month by 3 million/15%, in the 2nd month by 4 million/19% and in the 3rd month by 7 million/30%
Pregnancy Disease Diagnostic Expert System With Certainty Factor Method Embun Fajar Wati; Elvi Sunita Perangin-Angin; Budi Sudrajat
IJISTECH (International Journal of Information System and Technology) Vol 6, No 6 (2023): April
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/.v6i6.292

Abstract

Lack of knowledge and information about diseases in pregnancy can delay pregnant women from knowing there are diseases in their pregnancy. Diseases that attack a woman's womb need to be examined by an expert, while experts for this disease are still rare and require a lot of money. In order for the initial diagnosis to be carried out by pregnant women, a solution is proposed in the form of an expert system for diagnosing pregnant women's diseases using the Certainty Factor (CF) method based on the symptoms felt by pregnant women. The research stages used in this study used 4 steps, namely data collection consisting of disease data and symptom data, disease data and symptoms, as well as patient data, symptoms and weights, data analysis using the certainty factor method, validation and evaluation. Diagnostic results that are not in accordance with the CF calculation of around 37.5%, while the results in accordance with the CF calculation were 11 patients or 62.5%.
Co-Authors Abdul Razak Asrofi Agustiena Merdekawati, Agustiena Andi Diah Kuswanto Andi Diah Kuswanto Budi Sudrajat Daniel Happy Putra Dicky Hariyanto Embun Fajar Wati Sari Masshitah Siti Zahrah Zafira