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Jurnal Pilar Nusa Mandiri

pilar
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Published by STMIK Nusa Mandiri

ISSN : 19781946 EISSN : 25276514 DOI : -

Core Subject : Science,

Computer Science & IT

Jurnal Pilar merupakan jurnal ilmiah yang diterbitkan oleh program studi sistem informasi STMIK Nusa Mandiri. Jurnal ini berisi tentang karya ilmiah yang bertemakan: Rekayasa Perangkat Lunak, Sistem Pakar, Sistem Penunjang, Keputusan, Perancangan Sistem Informasi, Data Mining, Pengolahan Citra.

Arjuna Subject : -

Articles 418 Documents

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IMPLEMENTATION OF GAIN RATIO AND K-NEAREST NEIGHBOR FOR CLASSIFICATION OF STUDENT PERFORMANCE Setiyorini, Tyas; Asmono, Rizky Tri
Jurnal Pilar Nusa Mandiri Vol 16 No 1 (2020): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Predicting student performance is very useful in analyzing weak students and providing support to students who face difficulties. However, the work done by educators has not been effective enough in identifying factors that affect student performance. The main predictor factor is an informative student academic score, but that alone is not good enough in predicting student performance. Educators utilize Educational Data Mining (EDM) to predict student performance. KK-Nearest Neighbor is often used in classifying student performance because of its simplicity, but the K-Nearest Neighbor has a weakness in terms of the high dimensional features. To overcome these weaknesses, a Gain Ratio is used to reduce the high dimension of features. The experiment has been carried out 10 times with the value of k is 1 to 10 using the student performance dataset. The results of these experiments are obtained an average accuracy of 74.068 with the K-Nearest Neighbor and obtained an average accuracy of 75.105 with the Gain Ratio and K-Nearest Neighbor. The experimental results show that Gain Ratio is able to reduce the high dimensions of features that are a weakness of K-Nearest Neighbor, so the implementation of Gain Ratio and K-Nearest Neighbor can increase the accuracy of the classification of student performance compared to using the K-Nearest Neighbor alone.

SELECTION OF EXTRACURRICULAR ACTIVITIES IN SMK INSAN AQILAH 4 JAKARTA USING PROFILE MATCHING METHOD Wahyudin, Wahyudin; Saryoko, Andi; Aziz, Abdul; Nurmalia, Lia
Jurnal Pilar Nusa Mandiri Vol 16 No 1 (2020): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

This research is based on the observations and experiences of researchers, because the many extracurricular activities in schools make it difficult for students to determine extracurricular activities that can develop their personality, talents, and abilities outside the academic field, therefore the system is created to select extracurricular activities. The aim is to help students deal with extracurricular selection problems. The application of the Profile Matching method in the decision support system for the selection of extracurricular activities is expected to help provide recommendations for extracurricular activities to overcome the problem of selecting extracurricular activities and can facilitate students in selecting extracurricular activities.

SUCCESS ANALYSIS OF KITABISA MOBILE APPLICATION INFORMATION SYSTEM BY USING DELONE AND MCLEAN MODELS Aditya, Hafiz Noval Hasany; Nurmalasari, Nurmalasari; Hendri, Hendri
Jurnal Pilar Nusa Mandiri Vol 16 No 1 (2020): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

KitaBisa, the public can raise funds for a variety of things they do or donate for things they want to help. Starting from the desire to create a social movement, in 2013 Alfatih Timur (Timmy) made KitaBisa a forum for anyone who wanted to realize his social project. Measuring the success of the KitaC mobile application can use the DeLone and McLean model, it is known that variables that have a significant relationship include Service Quality against User Satisfaction with a t-statistic value of 2.893, System Quality for Users (Use) with a t-statistic value of 10,204, and User Satisfaction of the Net Benefit with a t-statistic value of 3,680. In accordance with the hypothesis testing that user satisfaction with the KitaBisa mobile application as a forum to donate online has been proven by influencing User Satisfaction with the Net Benefit as a whole or it means the user has felt the benefits of the KitaBisa mobile application.

DECISION SUPPORT SYSTEM IN DETERMINING THE BEST JUDO ATHLETE USING AHP METHOD Kristiyanti, Dinar Ajeng; Pangemanan, Garth Wishnuwardhana
Jurnal Pilar Nusa Mandiri Vol 16 No 1 (2020): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

To determine the best Judo athlete, Rajawali Judo Club of Battalion Arhanud 1 Divif 1 Kostrad has several obstacles such as making a decision in determining the best Judo athlete by the Coach and the Achievement Development which only based on experience which is estimated without the existence of any system. This results in subjectivity and the absence of a strong basis for competent objective decision making which then triggers gaps between athletes. The absence of specific criteria creates that result in not targeting the selection of the best Judo athletes. For this reason, a method, in this case, is needed to choose the AHP (Analytical Hierarchy Process) method and a number of criteria as indicators in determining the best Judo athlete. While the referenced criteria are Self-Dropping Technique (Ukemi), Slamming Technique (Nage-waza), Lockdown or Lying Technique (Katame-waza), Discipline and Achievement. The purpose of this study is expected to produce statistical data as an evaluation material for the training team to minimize or even eliminate the gap between fellow Judo athletes at the Rajawali Judo Club of Battalion Arhanud 1 Divif 1 Kostrad. The result of this study is based on Analytical Hierarchy Process calculations, obtained the most important priority criteria in determining the best Judo athlete in which the Achievement criteria with value 0.325 or equivalent to 32%, then followed by Disciplinary criteria with value 0.227 or equivalent to 23%, Slamming Technique criteria (Nage-waza) with value 0.211 or equivalent to 21%, Lockdown/Laying Technique criteria (Katame-waza) with value 0.125 or equivalent to 12% and in the last rank the Self-Dropping Technique criteria (Ukemi) with value 0.112 or equivalent to 11%.

DECISION SUPPORT SYSTEM USING AHP METHOD FOR TEACHER PERFORMANCE ASSESSMENT Rahmawati, Rahmawati; Wulandari, Dewi Ayu Nur
Jurnal Pilar Nusa Mandiri Vol 16 No 1 (2020): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

One effort to measure the level of quality in schools is by measuring the performance aspects of teachers as professional educators who teach at the school. The teacher performance aspect is measured as one of the promotion requirements for a higher position or as a recommendation condition in order to take part in teacher certification activities. In order for teacher performance appraisal to be carried out objectively, a method is needed to assist in the teacher performance appraisal process. AHP method can be used to assist in decision making. This is because the AHP method is a model for structured and comprehensive decision making. From the calculation using the AHP method, it was found that the first priority was obtained by Indra with a weight of 0, 7317 or 73.17%, the second priority was obtained by Reni with a weight value of 0.2279 or 22.79% and the lowest priority was obtained by Supriyatna with a weight value 0.0604 or 6.04%.

MEASUREMENT OF VALIDITY AND RELIABILITY OF CUSTOMER SATISFACTION QUESTIONER in E-BOARDING APPICATIONS Safitri, Sisilia Thya; Kusumawardani, Dwi Mustika; Wiguna, Citra; Supriyadi, Didi; Yulita, Intan
Jurnal Pilar Nusa Mandiri Vol 16 No 1 (2020): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

PT. Kereta Api Indonesia (Persero) is the largest company in Indonesia which is engaged in railroad transportation. One of the technological innovations carried out by PT KAI (Persero) is to make the KAI Access application with the latest feature is e-boarding. Through the e-boarding feature provided by PT KAI, KAI seeks to provide excellent service to customers. Not many customers use the e-boarding application as a gap between PT KAI's vision and train customers. The gap that exists between the vision and customer acceptance of information technology needs to be measured to determine the extent to which the implementation of the information technology is accepted by the customer. One method used to measure customer satisfaction is to use the use questionnaire. Before measuring customer satisfaction using the Use questionnaire, each item of questions must be tested for validity and reliability. The purpose of measuring the validity and reliability of this research is to ensure the accuracy and reliability of each question on the questionnaire as a test tool. The validity test results used by using the construct validity technique are valid. The reliability test results using the split-half reliability technique have a value of 0.9896 or equivalent to the very high-reliability criteria.

IMAGE BACKGROUND PROCESSING FOR COMPARING ACCURACY VALUES OF OCR PERFORMANCE Kholifah, Desiana Nur; Nawawi, Hendri Mahmud; Thira, Indra Jiwana
Jurnal Pilar Nusa Mandiri Vol 16 No 1 (2020): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Optical Character Recognition (OCR) is an application used to process digital text images into text. Many documents that have a background in the form of images in the visual context of the background image increase the security of documents that state authenticity, but the background image causes difficulties with OCR performance because it makes it difficult for OCR to recognize characters overwritten by background images. By removing background images can maximize OCR performance compared to document images that are still background. Using the thresholding method to eliminate background images and look for recall values, precision, and character recognition rates to determine the performance value of OCR that is used as the object of research. From eliminating the background image with thresholding, an increase in performance on the three types of OCR is used as the object of research.

ANALYSIS OF KARAWANG ONLINE SALES CUSTOMER SATISFACTION USING CUSTOMER SATISFACTION INDEX (CSI) METHOD Hannie, Hannie; Enri, Ultach; Umaidah, Yuyun
Jurnal Pilar Nusa Mandiri Vol 16 No 1 (2020): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Karawang is one of the industrial cities. Most industry players look at Karawang as a strategic city to run a business. Many products have been produced from Karawang. However, there are lack in promoting, marketing the product and expanding the marketing area. The analysis of consumer satisfaction in Karawang is to determine the satisfaction of Karawang consumers to the prospects of promising online sales. Service attributes can be included in increasing online sales at Karawang using the Customer Satisfaction Index (CSI) method. The result of the Customer Satisfaction Index (CSI) is 78.43% which means that overall consumers who live in Karawang and have been shopped online are satisfied with the development of online shopping. This research was conducted in Karawang. The data used are primary data and secondary data. The sampling method is a non-probability sampling method, while the non-probability sampling method used sampling purposes.

COMPARISON OF MACHINE LEARNING CLASSIFICATION ALGORITHM ON HOTEL REVIEW SENTIMENT ANALYSIS (CASE STUDY: LUMINOR HOTEL PECENONGAN) Miharja, Jaja; Putra, Jordy Lasmana; Hadianto, Nur
Jurnal Pilar Nusa Mandiri Vol 16 No 1 (2020): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Analysis of hotel review sentiment is very helpful to be used as a benchmark or reference for making hotel business decisions today. However, all the review information obtained must be processed first by using an algorithm. The purpose of this study is to compare the Classification Algorithm of Machine Learning to obtain information that has a better level of accuracy in the analysis of hotel reviews. The algorithm that will be used is k-NN (k-Nearest Neighbor) and NB (Naive Bayes). After doing the calculation, the following accuracy level is obtained: k-NN of 60,50% with an AUC value of 0.632 and NB of 85,25% with an AUC value of 0.658. These results can be determined by the right algorithm to assist in making accurate decisions by business people in the analysis of hotel reviews using the NB Algorithm.

ANALYSIS OF BUBBLE SORT AND INSERTION SORT ALGORITHM ON MEMORY EFFICIENCY USING DATA MINING APPROACH Iskandar, Iqbal Dzulfiqar; Amirulloh, Imam; Pertiwi, Melisa Winda; Kusmira, Mira; Hikmah, Agung Baitul; Supriadi, Deddy
Jurnal Pilar Nusa Mandiri Vol 16 No 1 (2020): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Sorting algorithm in the computational process makes it easy for users when the data sorting process because the data is sorted by the process quickly and automatically. In addition to speed in sorting data, memory efficiency must also be considered. In this research, a retesting of two sorting methods is conducted, namely the bubble sort method and the insertion sort method based on the comparison of two programming languages, Java with Visual Basic 2010 using the decision tree method. This research aims to find out which algorithm has lower memory consumption in the sorting process using Java or Visual Basic 2010. The results of the comparison show, in Visual Basic 2010. insertion sort algorithm which has the lowest average memory consumption of 4.3243KB for .vb extensions and 2.0145KB for .exe extensions. while the bubble sort method with a consumption amount of 4.4358KB for the .vb extension and 2.0352 for extension.exe. Furthermore, if you use the Java programming language. So the bubble sort method still consumes the highest average memory, which is 546,242KB for the .jar extension and 4,337KB for the .exe extension, whereas from the insertion sort method, which has a low average memory consumption of 543,578 KB for extension .jar, and 4,381KB for extension .exe.

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