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INDONESIA
Jurnal Riset Informatika
Published by KresnaMedia Publisher
ISSN : 26561743     EISSN : 26561735     DOI : -
Core Subject : Science,
Computer Science & IT
Jurnal Riset Informatika, merupakan Jurnal yang diterbitkan oleh Kresnamedia Publisher. Jurnal Riset Informatika, berawal diperuntukan menampung paper-paper ilmiah yang dibuat oleh peneliti dan dosen-dosen program studi Sistem Informasi dan Teknik Informatika.
Arjuna Subject : -
Articles 7 Documents
 1 
Search results for , issue "Vol. 2 No. 2 (2020): March 2020 Edition" : 7 Documents clear
A Study Of Comparing Conceptual And Performance of K-Means and Fuzzy C-Means Algorithms (Clustering Method of Data Mining) of Consumer Segmentation Yunita Yunita; Sukrina Herman; Ahsani Takwim; Septian Rheno Widianto
Jurnal Riset Informatika Vol. 2 No. 2 (2020): March 2020 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (0.272 KB) | DOI: 10.34288/jri.v2i2.38

Abstract

Consumers, especially potential customers, are an important asset in a company that should be maintained properly. The tight competition requires companies to focus on the customer's needs. Consumer segmentation is one of the processes carried out in the marketing strategy. Consumer or consumer segmentation data mining plays a very important role in supporting the grouping process results. Based on mapping studies on data mining in support of consumer segmentation, two algorithms are often used: K-means clustering and Fuzzy C-means clustering. The attributes used for mining in customer segmentation processes are customer data, products, demographics, consumer behaviour, transactions, RFMDC, RFM (Recency, Frequency Monetary) and LTV (Life Time Value). It is important to combine the clustering algorithm to algorithm Classification, Association, and CPV to get the potential value of each cluster.
Decision Support System for Provision of Natural Disaster Victim Logistic Assistance with TOPSIS Method Enok Tuti Alawiah; Sefrika Sefrika
Jurnal Riset Informatika Vol. 2 No. 2 (2020): March 2020 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v2i2.43

Abstract

At the beginning of 2020, a natural disaster caused many people to lose their homes, damage to public facilities and infrastructure, and the breakdown of transportation links connecting villagers, especially in 3 districts, namely Sukajaya, Nanggung, and Cigudeg. As a result of the disaster, many villages are isolated, and residents need a lot of logistical support to meet their needs. To overcome these problems, we need a system that can help the government and volunteers interested in the decision-making process so that assistance for victims of natural disasters can be right on target and by the urgency of basic needs and logistics needed. Decision support systems using the TOPSIS method are used to solve multicriteria problems by offering various alternative solutions to solve problems. The results obtained a final preference value of 0.68 from C3 criteria to prioritize residents with closed transportation access to channel disaster relief funds for victims of natural disasters in Bogor Regency.
Decision Support System for Employee Employment Remains Using Profile Matching Method in PT. Hyper Mega Shipping Frasstio Agustin; Santoso Setiawan
Jurnal Riset Informatika Vol. 2 No. 2 (2020): March 2020 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v2i2.46

Abstract

The company is a place of production where humans function as a driving force and executor to realize the company's goals that have been set previously. Every employee in a company must always try to improve their abilities and achievements. So he can get a good career path according to his dream. To facilitate the implementation of each employee's permanent employee appointment process, a decision support system is created to facilitate the process. One of the methods used in making decisions on the appointment of permanent employees is Profile Matching. The decision support system for the Profile Matching and gap analysis process is based on data at PT. Hyper Mega Shipping, Profile Matching Method is carried out to determine the appointment of permanent employees based on two aspects, namely Performance and Work Culture. The selection process results are in the form of a final employee score as a recommendation for decision-makers to determine which employees will get the promotion of permanent employee appointments.
An Expert System for Detection of Diabetes Mellitus with the Forward Chaining Method Tati Mardiana; Ega Maulana Ditama; Tuslaela Tuslaela
Jurnal Riset Informatika Vol. 2 No. 2 (2020): March 2020 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v2i2.49

Abstract

In recent years, diabetes mellitus in Indonesia has become a health problem in the community because its population has increased 2-3 times faster than in other countries. Diabetes prevalence in Indonesia ranks 4th highest globally after China, India, and the United States. People can prevent complications and premature death if they detect early symptoms of diabetes. However, people do not know that they are at risk of diabetes and do not have knowledge about the symptoms of diabetes, the complexity of the process of diagnosis, and the high cost of examinations. Therefore, we need an application that can provide the results of the type of diabetes and its management solutions as practiced by experts. This research aims to develop an expert system for detecting types of diabetes such as type one diabetes, type two diabetes, neuropathy diabetes, diabetes retinopathy, and diabetes nephropathy. The object of this research is diabetes, which was carried out from March to April 2019 in the Klinik Pratama Desa Putera. This study uses primary data from patients with a history of diabetes at Klinik Pratama Desa Putra and secondary data from literature, research journals, and data documents needed to compile this study. In addition, we generated a knowledge base using forward chaining. The test results show that the expert system meets the functional requirements, and the system performance reaches an accuracy of 100%. This expert system helps people in Indonesia to detect diabetes early so that it can prevent complications.
Implementation of Simple Additive Weighting Method as a Decision Support for New Student Admission in Madrasah Aliyah Frisma Handayanna; Fatmala Dewi
Jurnal Riset Informatika Vol. 2 No. 2 (2020): March 2020 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v2i2.70

Abstract

The selection or acceptance of new students is something that needs to be determined quickly. In terms of the determination of prospective new students, several considerations are needed which are quite numerous and complicated, namely, the standard of grades, school entry requirements, and policies of the government and educational institutions that often change each year. In terms of the admission of new students, students are required to come directly. During this time the process of admission test for new students is still using the manual method by filling out the answer sheet provided by the committee. The method used in determining students to be accepted is Simple Additive Weight. Determining the admission of new students using the Simple Additive Weight method, where this method provides certain criteria which have a weight value of each so that the results of the sum of the weights will get the final decision and rank the students accepted at Madrasah Aliyah named Amira and Afrilina.
Implementation of Profile Matching Method in Assessment of Employee Performance in Directorate General of Oil and Gas Anggi Oktaviani; Jannes Parulian Siregar; Dahlia Sarkawi; Deny Novianti
Jurnal Riset Informatika Vol. 2 No. 2 (2020): March 2020 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v2i2.71

Abstract

Every employee is always trying to improve their skills and achievements. So he can get a good career path according to his idea. Institutional Directorate General of Oil and Gas in the Ministry of ENERGY and Mineral Resources, as well as the assessment of employee performance also provided by the company to reward certain achievements. At this time analysis of assessment officers in Ditjen Migas is still done in a subjective. There should be ways and methods as an alternative election leader to suit your needs. In this study, the profile matching method was used as an alternative to providing assessment and evaluation of the key performance indexes of each employee. There are two aspects in conducting assessment and evaluation, namely: the performance aspect and the work satisfaction aspect. There are several levels of performance aspects: leadership of thoroughness and responsibility, verbalization of ideas, encouragement of achievement, concentration, and creative imagination. The work satisfaction aspect has discipline, high moral values, skills, integrity, and loyalty. There is a ranking change from candidates after being counted by the profile matching method whose employees with NIP 1388510026 have the first position in 4.5137.
Implementation of AHP Method in Decision Support for Selecting Outstanding Students Case Study: Senior High School Ari Puspita; Yuyun Yuningsih; Hilda Amalia; Ade Fitria Lestari
Jurnal Riset Informatika Vol. 2 No. 2 (2020): March 2020 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The research looks for excellence each student has to find out students who excel. Academic and non-academic achievements can be a benchmark for finding the best students. The research method used in this study is the survey research method, in which the writer will distribute the questionnaire to one of the High Schools with the target of the research being students and observing through the principal and teachers at the High School. This study uses the AHP (Analytical Hierarchy Process) method which is assisted by Expert Choice Software in making decisions regarding high-achieving students in high schools in the Tangerang area. AHP process by comparing one student with other student candidates based on predetermined criteria, also comparing between criteria, to find which criteria are more favored. The results of the processing of the Expert Choice Software in the form of graphic images that show superior students can be decided by decision-makers. Keywords: Survey, , Achievement

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