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Designing Application Decision Support System For Science Olympics Participants Election In SMPN Sijunjung Using Analytical Hierarchy Process Methods Rianti, Eva; Pratama, Robby Noval
Jurnal Sains dan Informatika Vol 2, No 2 (2016): Sains dan Informatika
Publisher : Lembaga Layanan Pendidikan Tinggi (LLDIKTI) Wilayah X

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2458.755 KB) | DOI: 10.22216/jsi.v2i2.1626

Abstract

One of the government programs to improve the quality of human resources through the Ministry of Education is to organize the National Science Olympiade (OSN). Therefore, every school are required to send their students to participate in the Olympics event. Before sending students will participate in the National Science Olympiad, the school has some selection process to choose the students who will participate in an Olympic event. From previous experience, the selection of participants randomly based on the best value in the capture of the semester students. It takes a long time in making decisions. In addition, frequent errors in determining the students who are competent in accordance with a field of science that they have mastered. Based on the problem above, designed decision support system that can help in decision-making. This system can provide convenience to the school at the time of selecting the students who will follow the Olympics, namely using Analytical Hierarchy Process (AHP).
Analisa Sistem Informasi Penerimaan Calon Taruna (Catar) dengan Menggunakan Metode McCall (Studi Kasus Politeknik Pelayaran Sumatera Barat) Eva Rianti; Dwi Febrina Barel
Jurnal Informasi dan Teknologi 2020, Vol. 2, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v2i2.59

Abstract

Candidate Admission is an effort of the campus agency to obtain a Candidate Candidate in accordance with the criteria of each campus. With the information system for recruiting prospective cadets, it is expected to be able to overcome the problems that are often faced in accepting prospective cadets. McCall is one model that explains Software Quality Factor or software quality. This model has three main perspectives, namely product operation, product revision, and product transition. Product operation includes several factors, namely correctness, reliability, usability, integrity, and efficiency. The McCall method has good accuracy and detail so that it can be used to test and guarantee the quality of information system software. Testing is done using the McCall method calculation, the final results obtained from the calculation process, namely from the 30 test data there are 40.17% match the data from the system calculation. The sum of normalized matrices with weights per criterion shows alternative ranking closest to the criteria to the farthest from the criteria included in the Good Enough category.
Classification of Customer Loans Using Hybrid Data Mining Eka Praja Wiyata Mandala; Eva Rianti; Sarjon Defit
JUITA : Jurnal Informatika JUITA Vol. 10 No. 1, May 2022
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (903.223 KB) | DOI: 10.30595/juita.v10i1.12521

Abstract

At this time, loans are one of the products offered by banks to their customers. BPR is an abbreviation of Bank Perkreditan Rakyat. BPR is one of the banks that provide loans to their customers. The problem that occurs is that the number of loans given to customers is often not on target and does not meet the criteria. We propose a hybrid data mining method which consists of two phases, first, we will cluster the eligibility of customers to be given a loan using the k-means algorithm, second, we will classify the loan amount using data from the clustering of eligible customers using k-nearest neighbors. As a result of this study, we were able to cluster 25 customers into 2 clusters, 10 customers into the "Not Feasible" cluster, 15 customers into the "Feasible" cluster. Then we also succeeded in classifying customers who applied for new loans with occupation is Entrepreneur, salary is ≥ IDR 5000000, loan guarantees  Proof of Vehicle Owner, account balance is < IDR 5000000 and family members is ≥ 4. And the results, classified as Loans with a small amount. We obtained the level of validity of the data testing of each input variable to the target variable reached 97.57%.
ANALISIS SISTEM INFORMASI KUALITAS PRODUKSI SULAMAN MAYANG DENGAN MENGGUNAKAN METODE MC CALL Firna Yenila; Eva Rianti
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 6, No 3 (2020): August 2020
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v6i3.623

Abstract

Abstract: Sulaman Mayang's Industry has implemented a desktop-based system in data processing, a one-way system involving only one actor/user of the system. So that in use there are some new problems that have arisen that affect the performance of services to customers. This study aims to analyze and test the quality of the Mayan embroidery information system using the McCall method. Analysis is carried out on several aspects of the product operation including the quality factors of correctness (truth), reliability (reliability), efficiency (efficiency), integrity (integrity) and usability (usability). Data was collected through questionnaires from 38 respondents involving workers/employees and customers. The results showed that overall the quality of the Sulaman Mayang  information system was at the level of 76% (the quality of the information system was good according to the scale interpretation of the percentage of quality factors). Thus the quality of Mayang embroidery information systems needs to be improved in accordance with recommendations which are improvements to the quality of Mayan embroidery information systems.            Keywords: McCall Method; Sulaman Mayang; the quality of information system.  Abstrak: Industri Sulaman mayang sejauh ini menerapkan sistem berbasiskan dekstop dalam pengolahan data, sistem yang digunakan satu arah hanya melibatkan satu aktor/pengguna sistem saja. Sehingga dalam penggunaan ada beberapa persoalan baru yang bermunculan yang mempengaruhi kinerja layanan terhadap pelanggan. Penelitian ini bertujuan untuk menganalisa dan menguji kualitas sitem informasi sulaman mayang dengan meggunakan metode McCall. Analisa dilakukan terhadap beberapa aspek dalam product operation diantaranya faktor kualitas correctness (kebenaran), reliability (keandalan), effisiensy (efisien), integrity (integritas) dan usability (kegunaan). Data dikumpulkan melalui kuosioner dari 38 responden yang melibatkan pekerja/karyawan dan pelanggan. Hasil penelitian menunjukkan  bahwa secara keseluruhan kualitas sistem informasi sulaman mayang berada pada level 76% (kualitas sistem informasi tersebut baik menurut skala penafsiran persentase faktor kualitas). Dengan demikian kualitas sistem informasi sulaman mayang perlu ditingkatkan sesuai dengan rekomendasi yang merupakan perbaikan kualitas sistem informasi sulaman mayang. Kata kunci: kualitas sistem informasi; metode McCall; Sulaman Mayang 
Sistem Pakar Diagnosa Penyakit Kista Ovarium dengan Metode Forward Chaining Aggy Pramana Gusman; Dian Maulida; Eva Rianti
Jurnal KomtekInfo Vol. 6 No. 1 (2019): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (864.771 KB) | DOI: 10.35134/komtekinfo.v6i1.37

Abstract

Ovarian cyst disease can only attack women after 25 years old of age and above the lack of public knowledge about the symptoms of ovarian cyst disease is the problem, therefore the authors make an expert system diagnosing ovarian cyst disease with a forward chaining method where patients consults with how to answer a number of questions related to the symptoms of an ovarian cyst and the patients answers questions according to the symptoms felt by the patient. This expert system is created using the PHP programming language and MYSQL database. It is expected that with an expert system of diagnosing ovarian cyst disease, later it can facilitate patients in consulting about his ovarian cyst disease and can increase knowledge for the patient
Application of Promotion and Marketing of Micro, Small and Medium Enterprises (Umkm) of Pariaman City (Aplikasi Promosi Dan Pemasaran Hasil Usaha Mikro Kecil Menengah (Umkm) Kota Pariaman) Romi Hardianto; Yesri Elva; Eva Rianti
Jurnal KomtekInfo Vol. 6 No. 2 (2019): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (592.158 KB) | DOI: 10.35134/komtekinfo.v6i2.55

Abstract

Micro, Small and Medium Enterprises (MSMEs) have an important role to support the economy in Indonesia and to enhance the era of the ASEAN free market community (MEA). MSMEs have been spread in almost every region in Indonesia, but MSMEs have been prevented from promoting their business results to the wider community because of promotions that are still carried out by word of mouth, with the existence of e-commerce as a technological development can help this problem. . E-commerce is a dynamic set of technologies, applications and business processes that connect certain companies, consumers and communities through electronic transactions and the electronic, trading of goods, services and information
Sistem Pakar Deteksi Hemangioma pada Batita menggunakan Metode Hybrid Firna Yenila; Suci Wahyuni; Eva Rianti; Hari Marfalino; Devi Gusmita
Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v4i4.250

Abstract

Hemangioma is a type of disease caused by active glands in the body. Hemangiomas occur in newborns up to the age of five (BATITA). This disease is indicated when a toddler has a fever or body temperature of more than 38°C. This condition affects the nerves and motor organs of the body that are attacked. This condition is sometimes undetected but develops quickly so it is necessary to consult an expert. This study aims to provide building a system in providing early education to parents in identifying toddlers with hemangiomas. This research makes it easy for parents to carry out further consultations with experts regarding the condition of toddlers. The processing of data and facts in this study was carried out by combining several methods (hybrid) in tracing each symptom according to the conditions experienced by system users. This method is continued by giving a weight value in the form of a percentage for each symptom experienced. The results of this study provide new knowledge in the form of information about Hemangioma with a confidence value in the form of a percentage of the patient's condition. This research provides the latest breakthrough in the form of presenting a system using an application that provides an accuracy value to ensure that patients have Hemangioma. This system can provide maximum value for users in gaining new knowledge for patients before further consultation with experts to get action.
Analisis Kualitas Sistem Informasi Absensi Karyawan dengan Metode McCall Khairul Zaman Khairul; Eva Rianti; Firna Yenila; Taufan Pradana
Jurnal KomtekInfo Vol. 10 No. 3 (2023): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/komtekinfo.v10i3.417

Abstract

Testing the quality of the employee attendance information system that has been built can be developed for use in the management process in an organization. System testing is used to ensure that the information system being built can run according to requirements. This research aims to analyze the quality of the information system on the performance of the employee absence process. The analytical method used adopts the McCall performance method to examine the extent to which the attendance system can be productive in dealing with employee absenteeism problems. The McCall method has performance in identifying various aspects of information system quality such as reliability, efficiency, ease of use. There are measurement indicators such as correctness, usability, integrity, reliability and efficiency. Based on the results of the analysis produced by the McCall method, the information system quality results provide a positive response to the reliability factor with a percentage of 80.88%, correctness 79.6%, usability 70.6% while integrity 64.6% and efficiency 46.2%. The results of this analysis can be carried out in an accumulation testing process on all factors with a Likert scale of 82.2%. Based on these results, this research can provide a contribution to maximizing system performance as well as recommendations for improvements to the employee attendance information system.
Implementation of a Rabbit Disease Diagnosis Expert System using the Forward Chaining and Certainty Factor Method Mayang Sajida; Eva Rianti; Sepsa Nur Rahman
Journal of Computer Scine and Information Technology Volume 9 Issue 3 (2023): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i3.78

Abstract

An expert system is a system that adopts the expertise of an expert in a particular field into the system. Rabbits are one of the animals that are close to humans and have high body adaptability. However, rabbits are not free from the threat of disease. Treatment requires more costs so we need a way to find out the disease and the solution so that we can take the necessary actions. To overcome this, an expertise media was created that can be accessed by rabbit owners online using the Forward Chaining and Certainty Factor methods. The expert system must be able to work under uncertainty, so the Forward Chaining (FC) and Certainty Factor (CF) methods were added to overcome this problem. Forward Chaining is a decision making method that is commonly used in expert systems and the Certainty factor method is a method to prove the uncertainty of an expert's thinking. The system diagnosis results display possible diseases suffered by rabbits and provide treatment solutions for diseases with the largest CF values. With the calculation results, the level of confidence information based on the table is Definitely Yes. The accuracy of the system output is proven from the results of system validity with experts.
Gastric Diagnosis Expert System using the Fuzzy Mamdani Method Rozizah Dwi Gusni; Eva Rianti; Firna Yenila
Journal of Computer Scine and Information Technology Volume 9 Issue 4 (2023): JCSITech (Accepted)
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i4.87

Abstract

The stomach is one of the important digestive organs in humans. Gastric disease is inflammation of the stomach lining caused by microorganisms, this disease is caused more by Helycobacterpylori bacteria, apart from being caused by bacteria, stomach disease can also be caused by irregular lifestyle and eating patterns. Diseases that attack the stomach are still considered trivial by the general public, so not many people know about stomach diseases and the symptoms that exist. This is what causes people to be reluctant to see a doctor when they suffer from pain that attacks the stomach. When a disease attacks the stomach, people only use experience or intuition to cure it, so it is not treated properly. By using an expert system, patients can save time going to the hospital and can improve service to patients. The results of the Mamdani fuzzy logic calculations require a report on the possibility of stomach disease suffered by the user/patient, examples of possibilities are small, somewhat large and large based on the highest value results. It is hoped that with this system, it will be easier for patients to diagnose gastric diseases to carry out prevention and early diagnosis and treatment.