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Nono Heryana
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INDONESIA
Systematics
Published by Universitas Singaperbangsa Karawang
ISSN : -     EISSN : 27146529     DOI : https://dx.doi.org/10.35706/sys
Core Subject : Science,
Computer Science & IT Library & Information Science
Systematics is a scientific journal published by the Department of Information Systems at the Universitas Singaperbangsa Karawang (Unsika), which is a place for researchers to publish and disseminate research results. This journal is a publication of research papers and its development in the field of Information Systems, Information Systems Development, Computer Science, and Informatics.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 71 Documents
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Athlete Management Information System in KONI Karawang District Bagja Nugraha
SYSTEMATICS Vol 2 No 2 (2020): August 2020
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/sys.v2i2.3874

Abstract

The Indonesian National Sports Committee or KONI is an organization that functions as a coordinating all athletes whose duty is to foster and develop the athletes become achievers in sports activities both at the regional and national levels. Koni Karawang is one of the authorized organization in coordinating every sporting activity in Karawang district and also functions as a forum for athletes in Karawang district so that it can accommodate all talented athletes so that they can be fostered further. Quite a lot of athletes in the Karawang district requires the management of data collection of athletes to be better coordinated. So, we need a system that can facilitate the management of KONI athletes in Karawang district. In this case, an Information System was created which functions to process the data of athletes in Karawang district, so that it would be assisting in the data collection of the athletes. The information system created is in the form of a website-based application with implementation using a PHP programming language and MySQL database
Application of UAT (User Acceptance Test) Evaluation Model in Minggon E-Meeting Software Development Bayu Priyatna; April Lia Hananto; Muhammad Nova
SYSTEMATICS Vol 2 No 3 (2020): December 2020
Publisher : Universitas Singaperbangsa Karawang

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Abstract

The Sunday e-meeting application is an android application for controlling the results of a meeting which is an official face-to-face agenda activity carried out by two or more people with the aim of discussing a problem, finding a way out and making decisions in order to achieve individual or organizational goals. E-meeting is one solution to the problems contained in manual meetings. However, the system that has been built has not yet been evaluated so that the e-meeting system is not yet known whether it can be an effective and efficient system. The method used in the evaluation of this system uses the UAT (User Acceptance Test). The results of the evaluation of the system were different percentages, first in terms of design 45% of respondents answered that they did not agree with the appearance of the e-meeting system, then in terms of convenience 79.56% of respondents answered agreed with the use of the e-meeting system. facilitate the process of scheduling and setting the meeting time, and in terms of efficiency 85.47% of respondents answered that they strongly agree that this system will speed up the response of citizens to find out the schedule of meetings and meeting activities can be recapitulated automatically. So it can be concluded that the e-meeting system is acceptable and has good convenience, design and efficiency.
Website Implementation with the Monte Carlo Method as a Media for Predicting Sales of Cashier Applications Elfina Novalia; Jufriadif Na'am; Gunadi Widi Nurcahyo; Apriade Voutama
SYSTEMATICS Vol 2 No 3 (2020): December 2020
Publisher : Universitas Singaperbangsa Karawang

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Abstract

System implementation is a testing process to make it easier for users to carry out the calculation process or process data. by testing it can be concluded whether or not a system is designed. One of them is the implementation of a website-based system to predict sales of cashier applications by applying the Monte Carlo method. Increasing sales of cashier applications currently make developer companies have to prepare quality and feasible software or applications as needed. To maintain an increase in profit, it is necessary to prepare and manage the right human resources. One of them is to simulate to predict future sales of applications by utilizing the Monte Carlo method which has been translated and implemented into a website. From the algorithm, a system implementation is carried out where the calculation process that has been built using Monte Carlo is translated into a website. Website design tools use UML with the PHP programming language and MySQL database. The website is tested and implemented whether the system that has been built is working properly and in accordance with the calculations made previously so that this system can facilitate the simulation process easily and effectively.
Satisfaction Level of BPJS Kesehatan Participants Using the C4.5 Algorithm Irvan Okta Mazhona; Yuhandri
SYSTEMATICS Vol 2 No 3 (2020): December 2020
Publisher : Universitas Singaperbangsa Karawang

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Abstract

Patient satisfaction is an important thing in a hospital service. The level of patient satisfaction can be a reference for improving service to patients. Satisfaction is the level of feelings that arise as a result of the performance of the service received after comparing it with what is expected. This study aims to measure the level of satisfaction of inpatient BPJS Kesehatan participants with the services provided by the Special Hospital for Mother and Children (RSKIA) Annisa Payakumbuh in terms of five attributes, namely Tangibles (Real Form), Reliability, Assurance, Responsiveness (Responsiveness) and Empathy (Empathy). To measure the level of patient satisfaction at RSKIA Annisa Payakumbuh used data mining method of Classification Algorithm C4.5 which is one of the most effective Decision tree algorithms for classification. The data were obtained from the summary of the results of the BPJS Kesehatan inpatient patient satisfaction survey at RSKIA Annisa Payakumbuh. Furthermore, the data will be processed using the C4.5 algorithm which will produce rules and Decision trees. The results of data processing using the C4.5 Algorithm obtained Responsiveness as the root variable and resulted in 8 rules with 3 satisfied rules and 5 unsatisfied rules. Based on the results of this study, it can be concluded that the use of the C 4.5 Algorithm Decision tree can be used to measure the level of satisfaction of BPJS Kesehatan inpatients at RSKIA Annisa Payakumbuh. The results of this study are expected to help the RSKIA Annisa in making policies to improve services for patients.
Mining Data In Identification Of Consumer Patterns Of Agricultural Machine Sales Using Fp-Growth Algorithm Eka Sofianti; Sarjo Defit; Yuhandri
SYSTEMATICS Vol 2 No 3 (2020): December 2020
Publisher : Universitas Singaperbangsa Karawang

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Abstract

The sales transaction data for agricultural machinery at the Mandiri Jaya Teknik Solok store is a large data set making it difficult to identify consumer purchasing patterns. Large data sets can be processed into useful information. Sales transaction data available at the Mandiri Jaya Teknik Solok store can be processed into useful information to increase sales. This study aims to identify consumer purchasing patterns in order to know which items are often sold and to find out which items need to be stocked more and to increase sales. The data that is processed in this study uses the sales transaction data obtained from the sales invoice of Toko Mandiri Jaya Teknik Solok. Data is in the form of sales data for 13 weeks of 20 items with a minimum support value of 15% and a confidence value of 60%. The method uses one of the data mining techniques associated with the FP-Growth algorithm, where the Fp-Growth algorithm uses the concept of tree development in searching for the types of items that are often purchased (frequency item sets). The tools used are Rapidminer 9.8 so that the purchase patterns of goods are obtained which are used as information to predict the level of frequently sold items. The result of the sales data processing process is the association rule. Association Rule is obtained in the form of a relationship between goods sold together with other goods in a transaction. From this pattern, it can be recommended to the shop owner as information for preparing stock of goods to increase sales results. This research is very suitable to be applied to determine the patterns of consumer spending such as the relationship of each item purchased by consumers, so this research is appropriate for use by stores.
Supplier Selection Decision Support System On Clothing Convection Using AHP And SAW Methods Mayonda Mohamad Parli; Anita Diana
SYSTEMATICS Vol 3 No 1 (2021): April 2021
Publisher : Universitas Singaperbangsa Karawang

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Abstract

This study discusses the selection of suppliers at a Muslim clothing convection company Iyon Collection in the Jakarta area. Supplier selection is carried out regularly once a year. Some of the problems encountered include the absence of an appropriate method for supplier selection, the absence of a criterion weight value, and no application of a Decision Support System (SPK) for supplier selection that can facilitate the assessment. In addition, the owner of the convection has not yet obtained the required information in the form of a report. Therefore, it is necessary to build an SPK for the assessment of supplier selection. The criteria used include price, quality of materials, distance from supplier to convection, delivery time, discounted prices and supplier service. The method used is the Analytical Hierarchy Process (AHP) to obtain the weight value for each criterion, and the Simple Additive Weighting (SAW) method to find the priority value for ranking each alternative. The purpose of this study is to determine the right assessment method with the right criteria, and determine the value of the weight of the criteria, so as to produce a supplier selection DSS application system that can facilitate the assessment. With the resulting SPK application, the owner also gets the required report information, including supplier data reports, supplier assessment reports and supplier ranking reports. Selection of the right supplier, will be able to provide raw materials for clothing at the right convection on time, to avoid losses in the clothing production process.
Decision Support System for Feasibility of Marketing Chicken Using Weighted Product Method: Sistem Pendukung Keputusan Kelayakan Pemasaran Ayam Menggunakan Metode Weighted Product eriwandi; Sarjon Defit; Sumijan
SYSTEMATICS Vol 3 No 1 (2021): April 2021
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/sys.v3i1.5521

Abstract

Chicken is a farm animal that is loved by many people, where chicken contains many things that are needed by the body. To get the best chicken, the company needs to conduct a selection in determining the best chicken to be marketed to consumers. Selection Determining the best chicken to be marketed is part of the selection process. In the process of determining the best chicken PT. Japfa com feed Indonesia Tbk is carried out with a series of tests in the form of chicken size, feather color, weight, and body temperature. Therefore we need a decision support system with the weighted product (WP) method as an alternative solution of choice so that it runs effectively and reduces subjective assessments. From the test data, it can be concluded that the system is able to provide alternative choices effectively and reduce the element of subjectivity with a margin of error of 90% when compared to the same selection system.
Decision Support System in Identification of Swallow's Nest Quality with Weighted Product Method: Sistem Pendukung Keputusan dalam Identifikasi Kualitas Sarang Burung Walet dengan Metode Weighted Product ardialis; Sarjon Defit; Gunadi Widi Nurcahyo
SYSTEMATICS Vol 3 No 1 (2021): April 2021
Publisher : Universitas Singaperbangsa Karawang

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Abstract

This Decision Support System is related to the Weighted Product method in considering the criteria and weights. The Weighted Product (WP) method is one of the methods used to complete the decision-making system by considering the criteria and weights. Decision-making on the quality of the best swallow's nest is that there are no determination criteria so that it does not provide a maximum decision. This method uses equations to connect attributes and only produces the largest value that will be selected as the best alternative. The use of the Weight Product method produces ranking results in accordance with calculations from the manual with both data showing an accuracy rate of 100%. These results are implemented into a website-based decision support system using PHP and Mysql programming in general the system built has been able to run and can produce ranking data well.
Application of The Analytical Hierarchy Process (AHP) Method for Decision Support for Teacher Performance Assessment at Madrasah Aliyah (MA) Dail Khairaat Foundation: Penerapan Metode Analytical Hierarchy Process (AHP) untuk Pendukung Keputusan Penilaian Kinerja Guru Pada Madrasah Aliyah (MA) Yayasan Dail Khairaat Farhan Hariri; Anita Diana
SYSTEMATICS Vol 3 No 1 (2021): April 2021
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/sys.v3i1.5680

Abstract

This research was conducted at Madrasah Aliyah (MA) Dail Khairaat Foundation, where there was an assessment method that had been carried out previously. However, there are several problems faced, namely the absence of a weighted criterion value, the large number of assessment aspects, the calculation of the final score is still manual, and it is difficult to find teacher assessment performance data. This is because the documents used are still in the form of an assessment file archive, so that it can lead to errors in teacher performance assessments. We need an assessment of teacher performance in the form of a decision support system, which produces objective and more precise results decisions, so that the results obtained are in line with expectations and can improve the quality and quality of teachers' performance. SPK teacher performance assessment uses criteria approved by the principal using the AHP (Analytical Hierarchy Process) method. The AHP method is used to generate the weighted criteria, and generate teacher alternative priorities. The research carried out resulted in a DSS with the right method for assessing teacher performance, with the weight of the criteria, and the alternative priorities of the best performing teachers. The resulting SPK is a website-based application system that can provide a recommendation for the best teacher. This DSS also makes it easier to assess, calculate and search for teacher performance appraisal data to reduce errors in teacher performance appraisals. This DSS will help the principal to make decisions to determine the best performing teachers in an objective and more precise manner. This can be used as material for evaluating teacher performance so that performance can be maintained or improved
Implementation of K-Means Algorithm in Determining Clustering of Lion Air Pilots: Implementasi Algoritma K-Means Dalam Menentukan Klasterisasi Pilot Lion Air Ahmad Jurnaidi Wahidin
SYSTEMATICS Vol 3 No 1 (2021): April 2021
Publisher : Universitas Singaperbangsa Karawang

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Abstract

Covid-19 was declared a pandemic by WHO on March 11, 2020, and President Joko Widodo through the Head of BNPB declared the COVID-19 outbreak a National Disaster. To limit people's mobility, the government issued a Regulation of the Minister of Transportation concerning Transportation Control in which operators of transportation facilities are obliged to supervise and ensure the implementation of physical distancing. One of the sectors affected by the COVID-19 pandemic is transportation, the government is looking for a solution to minimize this impact by providing incentive stimulus to airlines and also reducing the Air Passenger Service tariff by 20% to reducing aviation fuel prices by 10%, but the government's efforts have not succeeded. . The implementation of PPKM together with the Circular Letter of the Ministry of Transportation Number SE 88 of 2021 has reduced the interest of airplane passengers. This situation made the Lion Air airline reduce 8000 employees to pilots. However, pilots are applied to fly alternately by dividing into several groups. By using the k-means algorithm which is one of the clustering methods in data mining, the division of groups can be done by partitioning the data into several clusters. so that data with the same characteristics will be grouped into one cluster. The results of processing 730 lion air pilot data with three clusters resulted in 431 cluster 1 data, 200 data cluster 2 and 99 data cluster 3, from the three clusters dominated by the age of 20-35 years with a working period of 6-11 years but with an average different average flying hours and working hours.

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