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Journal of Applied Engineering and Technological Science (JAETS)

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Published by Yayasan Pendidikan Riset dan Pengembangan Intelektual

ISSN : 27156087 EISSN : 27156079 DOI : -

Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering

Journal of Applied Engineering and Technological Science (JAETS) is published by Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI), Pekanbaru, Indonesia. It is academic, online, open access, peer reviewed international journal. It aims to publish original, theoretical and practical advances in Computer Science & Engineering, Information Technology, Electrical and Electronics Engineering, Electronics and Telecommunication, Mechanical Engineering, Civil Engineering, Textile Engineering and all interdisciplinary streams of Engineering Sciences. Journal of Applied Engineering and Technological Science (JAETS) is published annually 2 times every June and Desember.

Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)

Articles 358 Documents

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Design And Development of Help Patient Data Management Information System at Sinergi Atap Negeri Foundation Web-Based Using Codeigniter Miliardi Zonna Ar Rikiti; Eden Kusmayanto; Rina Kurniawati
Journal of Applied Engineering and Technological Science (JAETS) Vol. 3 No. 2 (2022): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

The Sinergi Atap Negeri Foundation is a legal and independent non-profit social foundation with the goal of becoming a halfway house facilitator for needy patients and families. The purpose of this study is to create a data management information system for assisted patients to aid in data management, patient submissions, and data transactions at the Sinergi Atap Negeri Foundation, thereby making work more effective and efficient. The waterfall method is used in software development to collect data from previous studies through observations, interviews, and literature studies. The Sinergi Atap Negeri Foundation's patient data management system, according to the analysis, is still manual, whereas previously data management could only be managed by one foundation administrator and accessed by anyone. Given these concerns, researchers are encouraged to develop a web-based application using PHP, the Codeigniter 3 framework, and Mysql as a database. It is hoped that this information system will improve the performance of foundation employees by making data entry easier and faster, as well as avoiding data loss errors from a security standpoint.

Usability Testing on Tracer Study System Using The Heuristic Evaluation Method Afriansyah Afriansyah; Walhidayat Walhidayat; Rizki Novendra; Lidwina Harefa; Sutejo Sutejo
Journal of Applied Engineering and Technological Science (JAETS) Vol. 3 No. 2 (2022): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

A tracer study is a survey of graduates tracks alumni activities after graduating from an educational institution, Lancang Kuning University is one of the educational institutions that have a tracer study system. A system can be said to be good if it has good usability. So the purpose of this research is to find out whether the tracer study system of Universitas Lancang Kuning has good usability. The heuristic evaluation method will be used to measure usability using 10 aspects of usability heuristics with a questionnaire media in collecting data. Before distributing the questionnaires, an instrument test such as the Gregory test will be carried out by involving system experts and linguists. Then a validity test will be carried out, a reliability test will be carried out after that a heuristic test is carried out by distributing questionnaires. Based on the calculation results that the lowest percentage is owned by the visibility of the system status variable by 75% and the highest percentage results in the match between the system and the real world and consistency and standard with the same calculation results obtained by 81%. The results of the analysis show that the tracer system of Universitas Lancang Kuning has high usability with an average percentage of 78%.

Study on Factors Affecting The Successful Implementation of Construction Projects in West Lombok District and Mataram City Sayfuddin Sayfuddin
Journal of Applied Engineering and Technological Science (JAETS) Vol. 3 No. 2 (2022): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

A construction project that can be completed properly is the result of a combination and interaction of various related activities, elements and processes, both planned and unplanned and in a changing environment, several factors are more dominant in influencing project success. to help allocate available resources. The purpose of this research is to find out the factors for the success of a construction project and the extent of the influence of these factors on the success of the project, especially the implementation of construction in the district of West Lombok and the city of Mataram. The ultimate goal of this research is to provide tools for parties involved in the implementation of construction, to predict project success and provide useful information in allocating resources to produce satisfactory results. This research consists of two stages, namely the pilot study and the second stage of research. In the pilot study in the form of a questionnaire containing questions referring to Chan's research (1998), it has succeeded in obtaining data from 60 respondents from business practitioners in the construction service sector in the district of West Lombok. Mataram city. The second phase of the questionnaire obtained data for 52 respondents consisting of project owners, professional practitioners, both consultants and contractors. The mean value of the tap factors from a total of 44 variables resulted in the 15 factors with the highest ranking. The fifteen factors were analyzed by step wise multiple regression to determine the extent of the influence of each factor on the project's success criteria. The six most dominant factors influencing project success are the project owner's emphasis on time, quality and cost of supervision, involvement with the implementation team from the start, health & safety programs supported by the parent company, and relationships with fellow business associates.The results of the study prove that the project design factors that are adequate enough to be carried out at the construction implementation stage are the factors that most influence the project's success, followed by supervision at the construction implementation stage running well, the project team's technical ability, communication between the parties involved in the implementation. construction, and regular coordination.

Implementation of The C4.5 Algorithm in Describing The Trends of The Human Consciousness and Unconsciousness Ronaldo Syahputra; Yeviki Maisyah Putra
Journal of Applied Engineering and Technological Science (JAETS) Vol. 3 No. 2 (2022): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

The human mind has two properties that have different and conflicting functions. The two characteristics of the mind are the conscious mind and the subconscious mind. This study uses the C4.5 data mining algorithm to describe or see the tendency of the conscious and subconscious or the level of suggestion. Suggestibility is the most important thing in hypnotherapy. Hypnotherapy is a therapy performed under hypnosis. Hypnosis is communication with the human subconscious. The C4.5 algorithm for Data Mining is used to form a decision tree. This research will produce a decision tree that can explain the suggestive level of a series of tests that have been carried out. Testing is done with RapidMiner software to get a decision tree. The test consists of a series of tests consisting of four types of tests, where test 1 is to measuring right brain dominance , test 2 is to measure the speed of receiving instructions, test 3 is to measure a person's creativity, and test 4 is to know person's level of understanding, reasoning and imagination. The results of manual calculations were carried out in this study later with the results obtained from the results of testing with the RapidMiner software

Implementation of OCR (Optical Character Recognition) Using Tesseract in Detecting Character in Quotes Text Images Ikha Novie Tri Lestari; Dadang Iskandar Mulyana
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 1 (2022): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

The development of technology in Indonesia is currently increasingly advanced in people's lives and cannot be avoided. The use of Artificial Intelligence in helping humans in dealing with problems is growing. Humans can take advantage of computer/smartphone media in today's technological era. One of its uses is Optical Character Recognition. This research is motivated by the problem where the running system requires development in terms of technology to detect characters in the quote text image, because the previous system still performs manual input. Optical Character Recognition has been widely used to extract characters contained in digital image media. The ability of OCR methods and techniques is very dependent on the normalization process as an initial process before entering into the next stages such as segmentation and identification. The image normalization process aims to obtain a better input image so that the segmentation and identification process can produce optimal accuracy. To get maximum results, it takes several pre-processing stages on the image to be used. To achieve this, it is necessary to perform Optical Character Recognition which can be done using Tesseract-OCR. The OCR program that was created was successfully used to scan or scan a quote text image if the document was lost or damaged, and it could save time for creating, processing and typing documents.

Implementation of Data Mining Using K-Means Clustering Method to Determine Sales Strategy In S&R Baby Store Tri Wahyudi; Titi Silfia
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 1 (2022): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

The S&R Baby Store store is a Small and Medium Enterprise (SME) that is engaged in baby equipment, but there is a lot of competition between small and medium enterprises (SMEs) who are engaged in the same field, so that many products sold are of course not all sold out, some are lacking. in demand. Therefore the S&R Baby Store store needs a good sales strategy in order to increase sales profit. This study discusses the application of data mining, using the K-Means Clustering algorithm with the CRISP-DM method. Implementation using RapidMiner 9.10 which is done by entering sales transaction data with a total of 4 attributes and forming 4 clusters consisting of very in demand, in demand, moderate in demand and less in demand. the second cluster with 944 products, the third cluster with 2 products, and the fourth cluster with 43 products. The results of the cluster above are the products sold are the best-selling product categories, then the results of the cluster are validated using the Davies-Bouldin Index with a DBI value generated from clustering of 0.560.

Expert System For Diagnosing Diseases in Toddlers Using The Certainty Factor Method Bayu Saputra; Agnita Utami; Edriyansyah Edriyansyah; Yuda Irawan
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 1 (2022): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Disease is an abnormal condition in the body that causes body misalignment. There are various types of diseases that threaten humans, both parents and children. This disease can be caused by germs, bacteria, viruses, toxins, organ failure to function, and also by inherited/hereditary diseases. The difficulty of parents to find out the disease suffered by their children is one of the problems of parents today. So, we need a system to help with this predicament. The purpose of making this application is to provide information quickly and accurately in solving problems to help consult about diseases in toddlers aged 0-5 years. In addition, to find out ways to make programs that are expert systems using programming languages for artificial intelligence applications, namely PHP and Mysql, the certainty factor method is applied in web form. Using the certainty factor method is a decision-making strategy that starts from the section premise to conclusion. The result of system implementation is that the user chooses from the symptoms that already exist in the system based on the existing symptoms then processed, from the process the system provides information on diseases in children suffered by toddlers. From the results of testing this expert system has been able to diagnose diseases in children. After the diagnosis, the types of diseases and solutions will appear. Diagnosing disease in children by using this certainty factor is expected to make it easier to diagnose disease in children

Implementation of Data Mining Prediction Delivery Time Using Linear Regression Algorithm Tri Wahyudi; Dava Septya Arroufu
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 1 (2022): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

In the current era of modernization, online shopping has become a habit of the people, and is closely related to freight forwarding services in charge of delivering online shopping items from the seller to the buyer. So that buyers need a fast and safe delivery service to ensure the goods sent on time to their destination. Customer satisfaction is one of the most important factors in the shipping business. However, there are several obstacles that occur in the field that cause delays in the delivery of goods. Therefore, one solution that can be used to overcome this problem is to use data mining technology to predict delivery times. Using 1,000 datasets consisting of 4 Attributes, data processing will be carried out with prediction techniques using the Linear Regression algorithm. By utilizing data when the goods are taken, when the goods are on the way, until they reach the buyer, they can produce forecasts or predictions and produce several analyzes so that in the future there will be no delivery delays. Based on the RMSE (Root Mean Square Error) value which serves to generate the level value the error of the prediction results using this method and in an RMSE value of 0.370 %. It can be concluded that using the Linear Regression algorithm is proven to be accurate in predicting delivery times.

Classification Of Guarantee Fruit Murability Based on HSV Image With K-Nearest Neighbor Frencis Matheos Sarimole; Muhammad Ilham Fadillah
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 1 (2022): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Guava bol is one of the fruits from Indonesia that is favored by many Indonesian people. The guava itself has a soft and dense flesh texture compared to water guava. The guava itself has a pink color if it is raw but if the guava is ripe it will be dark red. From a glance, when viewed from human vision, it is very easy to distinguish between them, but from most people it is still difficult to distinguish which guava is ripe, half-ripe and unripe guava because of differences in opinion from one human eye to another. Based on these problems, researchers have developed a system that is able to detect the maturity level of guava fruit by utilizing the Hue Saturation Value (HSV) feature extraction with K-Nearest Neighbor (KNN). The data used in this study were 465 datasets which were divided into 324 training data and 141 test data. The data had classes, namely ripe, half-cooked, and raw. The data is then classified using the K-Nearest Neighbor method by calculating the closest distance with a value of K = 3. From this study resulted in an accuracy of 97.16%.

Prediction of Material Requirements For Vocational Practices Using The Monte Carlo Method (Case Study at SMK Dwi Sejahtera Pekanbaru) Suandi Daulay; Rahmi Rahmi
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 1 (2022): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Vocational High School (SMK), every practice always requires supporting materials. When the demand for these practice materials coincides between departments, so schools have difficulty in fulfilling them. The purpose of processing data on borrowing practice materials is to optimally meet the practical needs of the department. The data that is processed in this study is the data on demand for practice materials, data on practice needs and data on supply of practice materials. The data is processed using the Monte Carlo method with testing using PHP programming. The results of this study are predictions of the optimal practice material needs in the TKJ department and the materials that are needed and the amount of practice materials needed. 97% accurate. So that this research is very helpful in predicting the material needs of practice, this research is very helpful for the school in improfing services for student praticum.

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Contact Name
Muhammad Luthfi Hamzah

Contact Email
muhammad.luthfi@uin-suska.ac.id

Phone
+6282385405905

Journal Mail Official
editor.jaets@gmail.com

Editorial Address
Jl. Amanah, No. 17 B Kec. Marpoyan Damai, Pekanbaru, Riau

Location
Kota pekanbaru,

Riau

INDONESIA

Abstract

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Muhammad Luthfi Hamzah

Contact Email muhammad.luthfi@uin-suska.ac.id

Phone +6282385405905

Journal Mail Official editor.jaets@gmail.com

Editorial Address Jl. Amanah, No. 17 B Kec. Marpoyan Damai, Pekanbaru, Riau

Location Kota pekanbaru, Riau INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Muhammad Luthfi Hamzah

Contact Email
muhammad.luthfi@uin-suska.ac.id

Phone
+6282385405905

Journal Mail Official
editor.jaets@gmail.com

Editorial Address
Jl. Amanah, No. 17 B Kec. Marpoyan Damai, Pekanbaru, Riau

Location
Kota pekanbaru,

Riau

INDONESIA