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All Journal METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jatilima : Jurnal Multimedia Dan Teknologi Informasi INFOKUM MEANS (Media Informasi Analisa dan Sistem)
Elvika Rahmi
Universitas Imelda Medan
Computer Science & IT Economics, Econometrics & Finance

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Rancang Bangun Sistem Pakar untuk Diagnosa Penyakit Mulut dengan Menggunakan Teorema Bayes Berbasis Android Muhammad Iiqbal Panjaitan; Elvika Rahmi
MEANS (Media Informasi Analisa dan Sistem) Volume 5 Nomor 2
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (930.084 KB) | DOI: 10.54367/means.v5i2.993

Abstract

The lack of knowledge of oral health and limited sources of information causes low public awareness of oral health and also causes people to be reluctant to have their oral health checked by a doctor due to the high cost of consultation. The expert system for diagnosing oral diseases is expected to provide knowledge about the diagnosis of oral diseases, provide media for consultation on diseases of the mouth and reduce the number of consultation costs. Expert system (expert system) is a system with working principles by trying and adopting knowledge that is owned by humans and transferred to the computer, so that the computer can solve problems as usually done by experts. Bayes' Theorem is a way of finding conditional probabilities. Conditional probability is the probability of an event occurring, given that it has some relationship with one or more other events. This expert system application uses Android as the operating system. The Android-based operating system is an operating system that is open source so that it is easy to develop and optimize. The results of this study are an expert system application that can provide knowledge about the diagnosis of oral diseases, becoming a medium for consultation on oral diseases.
SIMULASI MONTE CARLO DALAM MEMPREDIKSI PEMAKAIAN OBAT PENYAKIT GIGI DAN MULUT PADA RUMAH SAKIT Resianta Perangin-angin; Ika Yusnita Sari; Elvika Rahmi; Roni Jhonson Simamora
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 6 No. 2 (2022): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (354.28 KB) | DOI: 10.46880/jmika.Vol6No2.pp239-243

Abstract

The use of drugs in patients with dental disease is a necessity that needs to be considered by the hospital in providing medical services to patients. Adequate and well-managed drug supply prevents shortages or excess drug stocks. So it needs good planning in managing and monitoring drug stocks appropriately. This study aims to make predictions in the use of dental disease drugs by using a monte carlo simulation. The data used is data on the use of drugs for dental diseases from 2020 to 2022. The data on drug use processed were 12 types of drugs. The data will be processed based on the Monte Carlo simulation stages. The results of using the Monte Carlo Simulation are to obtain predictions of the use of dental disease drugs with an accuracy value reaching 89.14%. Based on the accuracy value obtained, the Monte Carlo simulation can be used to predict drug use in the future. So that the supply of dental disease medicine is maintained.
APPLICATION OF THE TREND MOMENT METHOD FOR FORECAST SALES OF SONGKET FABRIC PRODUCTS AT UD. MANDIRI PERKASA Fajar Maulana; Elvika Rahmi; Ika Yusnita Sari
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/infokum.v10i5.1257

Abstract

Forecasting is a process for determining how much demand will exist as soon as the order is placed. It includes determining how much demand will exist in terms of quantity, quality, time, and location in order to fulfill the order for the goods. Peramalan is a strategy for predicting or predicating impending events, usually with the help of an earlier-than-expected deadline for submitting a request for proposals. This request is then based on the company's resources and existing capabilities for submitting requests, or other factors. According to songket results that are currently located in Padang, UD Mandiri Perkasa is a business that specializes in the trade of songket ink. UD Mandiri Perkasa is currently experiencing challenges from both a consumer-focused perspective as well as from the type of goods it is currently supplying. With the use of peramalan, it is possible to determine how much money should be spent on a certain product and to minimize waste. A forecast for the next single month will be made in this essay.
Sistem Pendukung Keputusan Calon Penerimaan Bantuan Program Indonesia Pintar Menggunakan Metode TOPSIS Khairunnisa Ika; Ika Yusnita Sari; Elvika Rahmi; Marjones H. H Sihombing
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 5 No. 01 (2023): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v5i01.395

Abstract

The distribution of scholarships is a government program related to tuition assistance given to students who come from underprivileged families as evidenced by the Prosperous Family Card (KKS) to help implement educational equity. The division of students is done to help determine in recommending someone who is eligible to receive a scholarship, a Decision Support System is needed. The determination of current scholarship providers is only based on an analysis of existing data records manually, which allows for errors to occur. From previous observations, a decision support system was created in optimizing the provision of scholarships to SMA Imelda Medan students. This research aims to optimize the results of decisions in providing incentives to students. The method used is the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) which can help provide recommendations for scholarship recipients. It is hoped that the use of a Decision Support System (SPK) can assist decisions to be taken in choosing and determining who is the best student to get a PIP scholarship, bearing in mind that so far they have not used a particular method in selecting students so that sometimes decisions are considered less objective and not on target. This method can be used to determine scholarship recipients in the assessment of scholarship acceptance. It can facilitate decisions for 10th grade students of SMA Imelda Medan, proportionally based on the results of student data processing including family cards, parents' occupations, parents' income.
DECISION MAKING SYSTEM USING THE TOPSIS METHOD IN DETERMINING THE POSITION OF ASN EMPLOYEES Marjones H. H Sihombing; Ika Yusnita Sari; Elvika Rahmi; Khairunnisa
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 5 No. 02 (2023): Jurnal Multimedia dan Teknologi Informasi (Jatilima)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v5i02.412

Abstract

The implementation of decision support systems in Indonesia, especially in the Management of State Civil Apparatus (ASN), has been mandated. The regulations contain criteria and procedures for assessing the extent to which government agencies have implemented decision support systems in ASN Management. The application of the SPK itself is to ensure that positions in the government bureaucracy are occupied by employees who meet the qualification and competency requirements. So that the goal of development, especially in the field of human resource personnel, is to create ASN that is professional, has high performance, has integrity and upholds neutrality, can be realized. From previous observations, a decision support system was created in determining ASN positions. The method used is Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) which can help provide recommendations for ASN positions. It is hoped that the use of the Decision Support System (DSS) can help decisions taken in selecting and determining who is the best employee to obtain an ASN employee position, considering that so far they have not used a particular method in selecting ASN employee positions so that sometimes decisions are considered less objective and inappropriate. target. This method can be used to determine the position of ASN employees in this assessment. This can facilitate decisions proportionally based on the results of employee data processing including experience, education, length of service, age, relevance of position precisely and accurately because the system can minimize errors in the data normalization calculation process.
Co-Authors Fajar Maulana Ika Yusnita Sari Khairunnisa Khairunnisa Ika Marjones H. H Sihombing Panjaitan, Muhammad Iiqbal Resianta Perangin-Angin