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Sinkron : Jurnal dan Penelitian Teknik Informatika
Published by Politeknik Ganesha Medan
ISSN : 2541044X     EISSN : 25412019     DOI : 10.33395/sinkron.v8i3.12656
Core Subject : Science,
Computer Science & IT
Scope of SinkrOns Scientific Discussion 1. Machine Learning 2. Cryptography 3. Steganography 4. Digital Image Processing 5. Networking 6. Security 7. Algorithm and Programming 8. Computer Vision 9. Troubleshooting 10. Internet and E-Commerce 11. Artificial Intelligence 12. Data Mining 13. Artificial Neural Network 14. Fuzzy Logic 15. Robotic
Arjuna Subject : Ilmu Komputer (semua kategori) - Visi Komputer dan Pengenalan Pola
Articles 1,196 Documents
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Design and Build a Product Sales Application at PT. Prima Fabian Mandiri Web-Based Hartati, Eka; Yuniansyah, Yuniansyah; Airina, Ayu; Wanandi, Vernanda Septia
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.11953

Abstract

The focus of this research is to create a product sales application that can help and simplify the process of selling to product delivery, and can provide information about the company and the latest stock and prices at PT. Prima Fabian Mandiri Palembang City. Design/method/approach: The system development method uses the prototype method, while the system modeling uses UML (Unified Modeling Language) in the form of use cases, activity diagrams, sequence diagrams, and class diagrams. The application also conducts testing using black box testing and after that an usability evaluation is carried out using the Use Questionnaire method with a total of 30 respondents. Questionnaires are created and distributed online using google forms. Based on the results of validity and reliability tests calculated using SPSS 25. The results of this study resulted in a product delivery application, and can provide information about the company and the latest stock and prices at PT. Prima Fabian Mandiri Palembang City. The system testing technique used in this study was black box testing, and usability evaluation was carried out using the Use Questionnaire. Based on the results of validity and reliability tests calculated using SPSS 25, all statements are declared valid and reliable so that from the five variables it shows that consumers are satisfied with the usefulness of the PT application. Prima Fabian Mandiri Palembang City. Users of this product sales application are admins, consumers, logistics and company leaders.
Implementation of Recommendation Systems in Determining Learning Strategies Using the Naïve Bayes Classifier Algorithm Saleh, Amir; Dharshinni, NP; Perangin-Angin, Despaleri; Azmi, Fadhillah; Sarif, Muhammad Irfan
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.11954

Abstract

Recommendation systems are widely used in various fields of life to provide suggestions for a product, service, or piece of information to someone where there is an object to choose from. The recommendation system can also be applied in the field of education, especially in improving the quality of learning that occurs in schools. In this study, developing and implementing a recommendation system was used to determine the learning strategy applied in class. The system is very necessary in order to obtain effective and efficient learning in accordance with the desired learning style of students. In addition, learning that leads to students' desire to learn can make it easier for teachers to achieve predetermined learning goals. In this study, collaborative filtering techniques based on the Naive Bayes algorithm were used to determine the learning strategy. Before carrying out the recommendation process, datasets will be collected first, which are obtained from student responses through the questionnaires provided. This data will be used as training data to obtain recommendations on learning strategies that will be applied by the teacher in the classroom. After the training data is collected, the teacher will provide a response, and the results obtained will be used as testing data. From the results of implementing a recommendation system that has been built using the Naïve Bayes algorithm, the accuracy obtained is 90.91% in determining learning strategies that are appropriate to student learning styles.
Utilizing Website-Based Speech-to-Text for Query Search Ramadhan, Rizki; Tarigan, Masmur; Anwar, Nizirwan; Juman, Kundang Karsono; Abduh, Mukhamad
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.11960

Abstract

Companies are increasingly using database-based data processing systems to store all information about their goods and products, so searching for queries on the system is one of the routine activities carried out by employees daily. The user must enter the keywords from the desired query in the search feature available on the system using the keyboard to perform the search process. It can only be accessed via a computer connected to the internet. Office However, sometimes there are several factors that make it difficult for employees to type in keywords, such as driving or having physical limitations, especially in the hands. This study aims to present an alternative to entering keywords not only through the keyboard but also by using voice by creating a query search system with the Speech-to-Text method so that users simply say the keywords from the desired data, and the system will be built based on a website so that they can be accessed from other devices such as smartphones, tablets, laptops or other devices. The method used in making this system is the System Development Life Cycle (SDCL) Prototype model and the system design modeling using the Unified Modeling Language (UML). This system will also be hosted on the Heroku platform, and in order to guarantee optimal operation of the system, a black box testing method is used, and the word accuracy test resulting from the Speech-to-Text conversion as well as the processing time required from the start of the system running to displaying the search results. It is hoped that with this system, employees will find it easier to enter keywords from the data they want through various devices quickly and with precise results.
Network Planning Analysis Using CPM and PERT Methods on Optimization of Time and Cost Aulia, Surayya; Cipta, Hendra
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.11961

Abstract

The shipbuilding industry is the most important industry to support sea transportation in the context of maritime development. As a company engaged in shipping, the function of the shipyard is as a place for shipbuilding, ship repair, and ship maintenance. One of the activities carried out by PT. DNC as a shipyard company is to repair TK Aek Sigala-gala. Ship repair is a process of repairing or replacing ship materials that cannot be used to avoid risks that occur in the sea when the ship sails. In the implementation of project activities, the company must understand the right network so that there are no problems scheduling, planning and controlling project activities. This study aims to solve the problems faced by the company, is the delay in completion time. The data used is secondary data related to the sequence and relationship of activities, execution time, and cost budget plan (RAB). This study uses CPM and PERT methods to determine the optimal turn around time using critical path and probability concepts. The results of the CPM and PERT methods are activities on the critical path with an optimal duration of 98 days. The crashing method is to reduce the duration to 72 days with savings of Rp. 16,351,708. if the project implementer does not crash, the penalty that must be paid is Rp. 3,072,963,905.
Development of Multi-Developer Housing Marketing Information System Using Rational Unified Process Method Kurniadi, Dede; Setiawan, Ridwan; Adiwangsa, Alfian Akmal; Lindayani, Lindayani
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.11964

Abstract

Rumah Garut is a company engaged in selling property to several housing developers. In the housing marketing process, it is still carried out offline, where the developer carries out the registration process with marketing company, then makes brochures and markets them at exhibitions. This method is considered inappropriate, given the large number of housing units registered by the developer, as it would delay the marketing or sale of the house. This research aims to develop an online marketing information system that can be carried out with multiple developers so that each developer can manage and inform their housing effectively and efficiently. The system design method is the Rational Unified Process (RUP), which consists of the stages of inception, elaboration, construction, and transition. The results of this study are in the form of a multi-developer housing marketing information system that can assist housing developers in managing and users in accessing housing information and ordering online. Meanwhile, based on the results of black box testing, it shows that the features developed are in accordance with the specified system functional scenarios, and testing the results of beta testing produces a score of 93.7%, which means that the housing marketing system meets user needs.
Design Get up E-commerce based Marketplace Sale Chips Web Based In Padang City Dewi, Ika Parma; Firza, Fahira Utami; Sriwahyuni, Titi; Hendriyani, Yeka
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.11966

Abstract

This web-based e-commerce is designed to help chip manufacturers sell their products and make it easier for consumers to get chips through internet technology. The web design method uses the prototype method starting with conducting needs analysis, interface design and programming and utilizing PHP programming as a programming language, MySQL as a database, XAMPP as a server and the Codeigniter framework version 4. Chips are a food that is much loved by people of all ages. This has caused many people to start a business selling chips, ranging from home industries to larger production. However, not a few of the chip entrepreneurs have difficulty managing the sale of their chip products to chip consumers such as students, workers and the general public. This is also a result of the outbreak of the Covid-19 virus which is experienced globally, including Indonesia, making it difficult for chip manufacturers to market their products and manage their sales. On the chip consumer side, they also find it difficult to get chips amidst pandemic conditions and busy activity. The difficulties of chip manufacturers and chip consumers can be overcome by developing a system in the form of e-commerce that can be accessed by chip consumers by adapting internet technology. The results of this design produce a web-based e-commerce selling chips by taking a case study in the chips business in Padang City, West Sumatra Province.
Forward Selection Attribute Reduction Technique for Optimizing Naïve Bayes Performance in Sperm Fertility Prediction Lubis, Ahmadi Irmansyah; Chandra, Rudy
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.11967

Abstract

The problem of infertility between husband and wife is an important issue that destroys family harmony, and many people still consider infertility or infertility a female problem. However, about 7% of men of childbearing age suffer from infertility. The biggest factor causing male infertility is sperm quality problems. Sperm analysis can be the best predictor of male fertility potential. Machine learning and data mining techniques can be used to automate disease diagnosis. This study aims to obtain a regular form classification model from sperm sample data of 100 volunteers. This classification model can be used to predict male fertility levels into 2 classes, namely normal and alter (decreased fertility). This study uses a fertility dataset obtained from the UCI Machine Learning Repository. Before the data mining process, data preprocessing is required. The classification process is carried out using Naive Bayes and attribute reduction techniques using forward selection to see the increase in the accuracy of Naive Bayes performance. The Naive Bayes test without attribute reduction has an accuracy of 85%, while attribute reduction with forward selection has an accuracy of 88% in predicting sperm fertility. Therefore, by using forward selection with Naive Bayes to reduce attributes in this study, this study was able to increase accuracy by 3% and can be used to help predict sperm fertility
Data Mining Selection of Prospective Government Employees with Employment Agreements using Naive Bayes Classifier Bustomi, Yosep; Nugraha, Anwar; Juliane, Christina; Rahayu, Sri
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.11968

Abstract

The implementation of health in Indonesia is still marked by problems in managing the workforce, especially among honorary health workers. The State Personnel Agency seeks to improve service quality by selecting good human resources to enhance community services. Several Ministries agreed to change the team member recruitment system from Prospective Civil Servants to Government Employees with Work Agreements. In the field, in the Government Employees with Work Agreements acceptance process, there are still pros and cons, both from the rules and the appointment process. The community hopes that the appointment process can be objective and open so that no group is disadvantaged. To achieve these expectations, researchers used data mining to classify health workers who would become Government Employees with Work Agreements. The data mining process uses probability with the Naive Bayes Classifier algorithm from historical data on Government Employees with Work Agreements receipts for 2021. Data on the history of Government Employees with Work Agreements acceptance of health workers as many as 1078 data have been filtered and cleaned. The results of testing the data are 0.00012 for the worthy assumptions and 0.0032 for the unworthy assumptions. Data processing results will be visually displayed using bubble diagrams and Python programming. The researcher concluded that the process of classifying prospective first-aid team members for medical personnel could be done by data mining using the Naïve Bayes algorithm. The results of this classification can be used as a reference for the following year's Government Employees with Work Agreements revenue classification process.  
Enterprise Architecture on Moral-based School Education Information Systems Sopian, Adi; Karlina, Haura; Saefurridjal, Achmad; Fatkhullah, Faiz Karim
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.11974

Abstract

Indonesia has a diversity of cultures, hospitality, and people who have good ethics. Moral problems often occur and are commonplace, such as corruption, collusion, nepotism, promiscuity and drug abuse, sexual harassment, theft, and murder. The Indonesian nation experienced moral degradation. Moral education refers to the concept of Moral Behavior. Ethical behavior is grouped into three parts: Moral Attitudes, Moral Feelings, and Moral Thoughts. Moral education is very dependent on how to educate parents, association, and the community environment. Moral issues are not enough just to do an analysis of moral education, such as the perspective of religion, philosophy, psychology, and sociology. But also provide solutions so that moral improvement can occur. One of the solutions for improving morale is, of course, by providing education for moral improvement, such as establishing a school with the aim of improving morale. This is what drives the establishment of schools based on moral education, which use the perspectives of religion, philosophy, psychology and sociology. One of the proposals is moral-based education with the help of information technology. Information technology is capable of performing tasks such as controlling the behavior of students, teachers, and being able to control content that is not in line with the educational curriculum. The results of monitoring students can be reported online at any time. This research aims to provide moral improvement solutions by establishing a moral-based school, with the help of Enterprise Architecture as a Framework. This Enterprise Architecture output is an Information Technology Blueprint for system development in schools. The approach used is the Framework from The Open Group Architecture Framework.
Effectiveness of Decision Support System for Hydroponic Plant Nutrient Selection Using Apriori Algorithm Method Manurung, Silvi Khairiyah; Lubis, Riri Syafitri
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.11975

Abstract

Hydroponics is an agricultural system that uses water as its growing medium by adding nutrients to plants without using soil. In hydroponic cultivation, the thing that needs to be considered is the provision of an optimal dose of nutrient solution as a food source for plants. The provision of nutrients that are not in accordance with the needs of plants results in plants stopping growing, so that plants do not take care of each other. The type of nutrition commonly used in hydroponic plants is AB mix. However, the use of AB mix as a hydroponic nutrient also has disadvantages, namely synthetics and the price of AB mix nutrients are quite expensive. Therefore, alternative nutrients are needed that have the potential to be used as hydroponic nutrients.  By analyzing hydroponic plant assessment data so that the rules of linkage between combinations of goods are found and form a pattern of itemset combinations with apriori algorithm. The association technique aims to find matching links in the database. From the results of data mining calculations using apriori algorithms, nutrient assessment data on hydroponic plants with the minimum support 20% and the minimum confidence 70%, formed five rules on hydroponic plant nutrition. One of the best rules is that AB mix nutrition is used on cucumber, spinach, celery, and kailan plants, so with 100% probability that POC nutrients will be good to also use on cucumber, spinach, celery, and kailan plants.

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