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M Rhifky Wayahdi
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INDONESIA
Journal of Technology and Computer (JOTECHCOM)
Published by PT. Technology Laboratories Indonesia
ISSN : -     EISSN : 30480477     DOI : -
Core Subject : Science,
Computer Science & IT
The Journal of Technology and Computer (JOTECHCOM) brings together researchers, academics (faculty and students), and industry practitioners to develop the field, discuss new trends and opportunities, exchange ideas and practices, and promote cross-disciplinary and cross-domain collaboration. JOTECHCOM aims to integrate all scientific disciplines, such as computer science, information systems, informatics, information technology, data science, databases, artificial intelligence, data mining, decision support systems, expert systems, and other related disciplines. This journal is published by PT. Technology Laboratories Indonesia (TechnoLabs) Publisher division. Accepted papers will be available online (free open access).
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 6 Documents
 1 
Search results for , issue "Vol. 1 No. 2 (2024): May 2024 - Journal of Technology and Computer" : 6 Documents clear
Decision Making System for Acceptance of Teaching Staff at Pondok Anugerah Special School with Simple Additive Weighting (SAW) Method Darmayanti, Putri; Ginting, Subhan Hafiz Nanda; Rambe, Aripin
Journal of Technology and Computer Vol. 1 No. 2 (2024): May 2024 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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Abstract

Special School (SLB) is a means of gaining knowledge for children with special needs. The quality of the school is inseparable from the quality of the teachers who provide teaching and education. Selecting prospective teachers who will teach and educate in schools is one way to improve school quality. Teacher recruitment is carried out to find teaching staff that suits the needs of the school based on the criteria determined by the school. Acceptance of teaching staff at this school is only by interview tests without going through the selection stage to see the talents and abilities of prospective teaching staff, after which the school negotiates by asking the teacher's approval for the acceptance of prospective teachers, so that the quality of prospective teachers to teach students with special needs is not so prominent, which results in ineffective criteria for the desired teacher to care for or guide students. A system that can help produce accurate assessment results by implementing a Decision Support System (SPK) is needed. One of the decision support system methods is the Simple Additive Weighting (SAW) method. The SAW method is a method that uses several assessment criteria that are important factors in the selection of teacher acceptance. The assessment criteria include education, experience, age, and the results of oral tests and interviews. From the results of these criteria will produce the assessment weight of each prospective teaching staff, then calculations will be carried out to find the ranking results based on the highest to lowest priorities. This research produces an information system to assist leaders in making the right decisions in the process of recruiting teaching staff at SLB Pondok Anugerah by applying the SAW method. 
Sentiment Analysis On Police Brigadier Shooting Case Using K-Means Clustering Wahyuni , Masri; Rambe, Basyit Mubarroq; Br Tarigan , Yuni Franciska; Gultom , Karyawaty
Journal of Technology and Computer Vol. 1 No. 2 (2024): May 2024 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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Abstract

As a medium that can be used to convey public criticism and aspirations in real time, Twitter is used as a data collection source using crawling techniques, to analyze public sentiment or response to the police brigadier shooting case. Latent dirichlet al-location (LDA) is used to determine the topics that appear in each of the collected tweets, and then used as a feature in grouping the contents of the tweets based on their respective sentiment values. The results of clustering using the k-means clustering algorithm obtained are: 11.9% of netizens gave a positive response, 18.9% of netizens gave a neutral response and 69.2% of netizens gave a negative response to the case. Thus, from the results of this study it can be concluded that netizens tend to give a negative response or reaction to the police brigadier shooting case, when viewed from the percentage of each type of response.
Decision Support System for Determining the Best Employee with Web-Based AHP Method at Pariwisata Polytechnic Syahputra, Ilham; Ruziq, Fahmi; Rambe, Aripin
Journal of Technology and Computer Vol. 1 No. 2 (2024): May 2024 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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Abstract

A Decision Support System (DSS) for Best Employee Determination Selection using the Analytical Hierarchy Process (AHP) method is an essential tool for enhancing employee performance and motivation. The awards given by companies to their best employees serve as a powerful incentive, driving each employee to consistently deliver their best work. To determine the best employee, companies assess performance over a specific period, considering various criteria. At Medan Tourism Polytechnic, these criteria include work behavior, work discipline, honesty, loyalty, and cooperation. The AHP method structures the decision-making process into a hierarchical model, allowing for systematic evaluation of alternative choices against the set criteria. By assigning weights to each criterion, AHP quantifies subjective assessments, providing an objective basis for comparing employees. This method ensures transparency and fairness in the selection process, promoting a culture of excellence and motivation among employees. Implementing a DSS with the AHP method not only simplifies the evaluation process but also ensures that decisions are based on measurable performance indicators. This fosters an environment where employees are encouraged to continuously improve their performance, contributing to the overall productivity and success of the organization. This system is integral in maintaining high standards and employee satisfaction within the organization.
Implementation of Data Mining to Predict the Eligibility Level for Prospective KPR (Home Ownership Credit) Subsidized Housing Customers Mitra Griya Indah Using the C4.5 Algorithm Anggraini, Mia; Ruziq, Fahmi; Nuary Singarimbun, Roy
Journal of Technology and Computer Vol. 1 No. 2 (2024): May 2024 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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Abstract

In the housing industry, data mining plays an important role in assisting the home loan application process by extracting knowledge from historical data, this process allows lenders to identify potentially high-risk home loan applicants and decide whether to approve or reject the loan application. Data mining helps in effective marketing strategies. By optimizing this process, response time to home loan applications can be accelerated, operational efficiency increased, and credit risk can be better managed. In the practice of providing KPR (Home Ownership Credit) to prospective consumers, there are possible problems that will occur like most other people, namely late installment payments or defaulted payments so that it will make it difficult for the bank to maintain the level of credit risk on the credit provided, this is because Mitra Griya Indah Housing has not paid much attention to data regarding the history of credit granting decisions, in other words, it has not maximally utilized data on previous credit granting decisions in supporting credit granting decisions. To solve this problem, the researcher designed a calculation information system. In this case the author uses the waterfall method in the research process. For system design, the author uses the PHP programming language with a database format using MySql. Finally, with this information system, it can facilitate the decision-making process for prospective customers of Home Ownership Credit.
Implementation of Data Mining on Sales Data of Bambu Ungu Cafe to Find out Consumer Purchasing Patterns Using the Apriori Algorithm Fadli, Rahmad; Ruziq, Fahmi; Imam, Chairul
Journal of Technology and Computer Vol. 1 No. 2 (2024): May 2024 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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Abstract

In today's digital age, restaurants or cafes face increasing competition and complex challenges. To stay relevant and succeed in this business, the use of data mining is crucial, as it becomes a valuable tool in optimizing sales, increasing customer satisfaction, and achieving long-term success in the restaurant and café industry. Data mining helps in effective marketing strategies. By analyzing customer data, purchase information, and preferences restaurants and cafes can identify different customer segments and create customized marketing. With so much sales transaction data, it will certainly be difficult if the data is analyzed manually, therefore information will be obtained if there is processing with the help of a system to get sales patterns. The results of this processing will produce transaction information to support product transaction decisions. To solve this problem, the researcher designed a calculation information system. In this case the author uses the waterfall method in the research process.  For system design the author uses the PHP programming language with a database format using MySQL. Finally, with this information system, the calculation process can be done automatically without the need to calculate manually is appropriate, provided that all data inputted is valid.
Designing a Website for SMK Satria Jambi Ardiansyah, Ardiansyah; Hendrawan, Hendrawan; Suratno, Eddy; Syuhada, Rahmad; Haris, Muhammad
Journal of Technology and Computer Vol. 1 No. 2 (2024): May 2024 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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Abstract

On the persentation of information which was presented by SMK SATRIA Jambi was still using the conventional method, This information was obtained from particular medias or straight to the scholl. With the result that infomation conveyed effective and efisition. Based on that case a web base information system program was designed. It is expected through this system, the ineffectiveness and the shortcoming in term of information system which exists can be minimized can be easly accessed by people who want to know the information which in SMK SATRIA Jambi as well as the new candidate of new students who will enroll at SMK SATRIA Jambi will make them easier by only filling the given form. The method used in the development of the system is the Waterfall method. While the system modeling tools used by the author is the Use Case Diagrams, Activity Diagrams and Class Diagrams. The programming language used in the design of the SMK Satria Jambi Website is using php and MySQL DBMS. With the programming language that can facilitate the development of the website at SMK Satria Jambi. Being able to facilitate the school in informing profile, achievements, and various other important activities of the school and overcome the old system.

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