cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
M Rhifky Wayahdi
Contact Email
technolabsindonesia@gmail.com
Phone
+6281396692946
Journal Mail Official
technolabsindonesia@gmail.com
Editorial Address
Jl. Umar No. 26A, Kel. Glugur Darat 1, Kec. Medan Timur, Medan, Sumatera Utara.
Location
Kota medan,
Sumatera utara
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 73 Documents
 1   2   3   4   5 
Applying the SMART methodology within decision support systems to evaluate the suitability of oil palm fruit for production Roy, Antonio; Serli
Journal of Technology and Computer Vol. 1 No. 1 (2024): February 2024 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Palm oil holds a significant position within Indonesia's commodities sector due to the high economic value per hectare that oil palm plantations yield, making it one of the country's vital commodities. Evaluating the quality of oil palm fruits fit for production requires a precise mechanism. One effective approach is the application of the SMART method, which stands for Simple Multi-Attribute Technique. SMART is a model employed to identify the optimal alternative from a set of options based on specific criteria.The outcomes of this study indicate several key findings. Firstly, the decision support system developed accelerates data processing during the decision-making process to determine the suitability of oil palm fruit for production. Additionally, the application of this decision support system adapts to the dynamic nature of weight value determination, making it adjustable to varying needs in assessing the quality of oil palm fruit production. The SMART method proves to be highly suitable for decision-making, especially for rapidly and accurately determining the production-worthy quality of oil palm fruit. Notably, the test results using the SMART method yielded a remarkable accuracy rate of 100%.
Application of Classical Cryptography in Text Communication Darsana, Wayan
Journal of Technology and Computer Vol. 1 No. 1 (2024): February 2024 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Advancements in data communications and computer networks have facilitated communication among numerous individuals using various hardware and software technologies. However, this progress also brings about a significant challenge: data and information security. Safeguarding data and information transmitted over communication networks necessitates the implementation of a data security system. One effective approach to achieve this is by utilizing cryptographic techniques. Cryptography involves encoding data transmitted through a network in a manner that only authorized parties can decipher. Data that remains unencrypted is referred to as plaintext, and once encrypted, it becomes ciphertext. Before the advent of computers, cryptography relied on character-based algorithms, often known as classical cryptographic algorithms. This research focuses on applying classical cryptography to encrypt and decrypt text data exchanged via chat applications. The test results demonstrate that the encryption and decryption processes effectively maintain data confidentiality.
Decision Support System for The Selection of XYZ School Head Candidates Using Topsis Method Putri, Anisa
Journal of Technology and Computer Vol. 1 No. 1 (2024): February 2024 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The school principal must be an integral part of the improvement of education quality, collaborating with teachers and other school staff to foster and enhance the educational quality in the school as optimally as possible according to established standards. The decision-making process for selecting a school head at the Education Office of Serdang Bedagai Regency is relatively challenging due to various criteria that influence the decision (both subjective and objective criteria). With a Decision Support System (DSS), humans can obtain information to support decision-making. The decision support system currently being developed includes the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods. TOPSIS is used in ranking to determine the best school head alternative. From the research results, it can be concluded, among other things: TOPSIS methods in the built decision support system is capable of providing final results that meet the criteria for the candidates for the State High School Head. The accuracy level of the testing results is 100%.
Expert System Utilizing Bayesian Theorem Method for Hernia Disease Santoso, Budi
Journal of Technology and Computer Vol. 1 No. 1 (2024): February 2024 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

A hernia is the protrusion of an organ or tissue through an abnormal opening. It occurs when the contents of a cavity protrude through a defect (weak channel) or a weak part of the corresponding cavity wall. In children, hernias usually occur in one of two places: around the navel or in the groin or scrotum area. Reckless handling of hernia, especially in cases of umbilical hernia in children, can lead to serious problems, even death. Therefore, accurate information is crucial in managing hernia in children, and it can be facilitated by an expert system application using the Bayesian Theorem method. The Bayesian Theorem is a theorem commonly used to calculate probabilities for a specific hypothesis. It serves as the basis for Bayesian statistics, with applications in microeconomics, science, game theory, and medicine. Research findings conclude that the expert system built is highly beneficial in expediting early treatment of hernia in children. The developed expert system application is dynamic in determining symptoms, weights, and solutions, allowing for customization. The Bayesian Theorem method proves to be suitable for swift and accurate implementation in diagnosing and treating hernia in children. The accuracy level of the testing results using the Bayesian Theorem method is 100%.
Decisions dealing system of cultural plant type with weighted product method Hanif, Irfan
Journal of Technology and Computer Vol. 1 No. 1 (2024): February 2024 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In the field of agriculture there are some kinds of food crops that are developed and cultivated such as grapes, strawberries, corn, soybeans and so on which are essential food. The farmers should choose the land that is suitable for their food type. If the farmers do not choose the appropriate land, the result is a poor harvest or may be a failure to harvest. However, this is not done, because it takes a long process and impedes the process of cultivation of food crops. However, such problems can be solved using the Decision Support System, because with the Decission Support System (DSS) humans can obtain information in support of decisions. Weighted Product is a decision-support system that is currently evolving with several methods, including the weighted product method. This method is chosen by the authors because the weights product method requires a normalization process, because this method depends on the evaluation of each attribute. The result of the multiplication is not meaningful if not compared (divided) with the standard value. The weight for the benefit attribute serves as a positive rank in the overlapping process, while the cost weight acts as a negative rank. From the results of the research can be concluded among other things: The decision-supporting system built is very helpful in the selection of crop types of food crops UPTD Rare Agriculture.
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)

Show Abstract | Download Original | Original Source | Check in Google Scholar

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)

Show Abstract | Download Original | Original Source | Check in Google Scholar

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)

Show Abstract | Download Original | Original Source | Check in Google Scholar

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)

Show Abstract | Download Original | Original Source | Check in Google Scholar

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)

Show Abstract | Download Original | Original Source | Check in Google Scholar

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.

Page 1 of 8 | Total Record : 73

 1   2   3   4   5 

Filter by Year

2024 2025


Reset
Filter By Issues
All Issue Vol. 2 No. 4 (2025): November 2025 - Journal of Technology and Computer Vol. 2 No. 3 (2025): August 2025 - Journal of Technology and Computer Vol. 2 No. 2 (2025): May 2025 - Journal of Technology and Computer Vol. 2 No. 1 (2025): February 2025 - Journal of Technology and Computer Vol. 1 No. 4 (2024): November 2024 - Journal of Technology and Computer Vol. 1 No. 3 (2024): August 2024 - Journal of Technology and Computer Vol. 1 No. 2 (2024): May 2024 - Journal of Technology and Computer Vol. 1 No. 1 (2024): February 2024 - Journal of Technology and Computer