Jurnal Teknologi Dan Sistem Informasi Bisnis

Sistem Informasi Online Pengelolaan Dana Sosial Pada Rumah Yatim Sumatera Utara

2023-07-01T23:22:17+00:00

Rumah Yatim, a National Zakat Management Institution under BAZNAS, manages various forms of donations across Indonesia through 20 branch offices. However, data management using Microsoft Excel has drawbacks, which led to the creation of an Online Social Fund Management Information System in North Sumatra using MySQL, PHP, HTML, and the Waterfall method. The system ensures transparent and systematic data management, making it easier for donors to donate online and providing real-time information on donation management. The new system has allowed Rumah Yatim to receive donations more efficiently and track them more systematically and transparently, resulting in better decision-making processes and more effective distribution of funds to those in need. The system has also helped streamline administrative tasks and reduce the time and resources required for manual data entry and report creation, leading to overall improved effectiveness and efficiency in operations.

Analisis Klaster Data Pasien Diabetes untuk Identifikasi Pola dan Karakteristik Pasien

2023-07-01T23:23:39+00:00

Diabetes is a significant health problem in Indonesia and the world. To understand the patterns and characteristics of diabetic patients, research was conducted by clustering the data of diabetic patients using the K-Means algorithm. The results of the analysis showed that there were two clusters, with cluster 1 consisting of 755 female patients aged 20-80 years and cluster 2 consisting of 404 male patients aged 40-90 years. The diagnosis of Non-insulin-dependent diabetes mellitus was the most common diagnosis in both clusters, followed by Rheumatoid arthritis in cluster 1 and Respiratory tuberculosis in cluster 2. BMI results in the "ideal" category had the highest frequency in both clusters, but the "less" category was more found in cluster 2. The unique variables in cluster 1 are M13.9 and I15, while the unique variables in cluster 2 are A15 and E11.6. In addition, the analysis of the two clusters shows that the Modopuro and Kebondalem sub-districts appear as the most sub-districts in the two clusters.

Perancangan User Experience Aplikasi Android Konsultasi Skripsi dengan Metode User Centered Design

2023-07-01T23:26:23+00:00

This research aims to design an Android application prototype using the User-Centered Design method, with a focus on evaluation through usability testing. The urgency of this research is driven by the importance of providing optimal user experiences in the development of Android applications, particularly in the context of thesis consultation applications, with the goal of enhancing user satisfaction and supporting business growth. The User-Centered Design method is employed as the primary approach in this research, involving steps such as user data collection, analysis, and iterative design based on user feedback. Usability testing is conducted through testing with users, aiming to identify issues and difficulties encountered by users while using the application. The usability testing process involved 5 participants, and the average test score obtained was 87.3. This test score indicates a very good level of usability. The results of this research are expected to provide valuable guidance for application developers in enhancing user experiences and better meeting user needs, ultimately achieving higher success.

Klasifikasi MIT-BIH Arrhythmia Database Metode Random Forest dan CNN dengan Model ResNet-50: A Systematic Literature Review

2023-07-03T04:53:53+00:00

Although Machine Learning and Deep Learning technologies have been widely used and have shown high accuracy in many applications, including in the health field, their application in early detection of heart disease still has room for improvement. Further research is needed to enhance the accuracy and efficiency of this process. This study aims to understand and improve the process of ECG signal extraction and classification based on Machine Learning and Deep Learning. Essentially, this research aims to evaluate and compare various models, focusing on the Random Forest and Convolutional Neural Networks (CNN) models. The study reviews several related researches, especially those focusing on the process of extraction and classification of ECG signals using Machine Learning and Deep Learning. After extraction and classification of data, an evaluation and comparison process is conducted to determine the best performing model. From the research conducted, it was found that Machine Learning methods generally show an accuracy rate between 97.02% - 99.66%, with the Random Forest method having an accuracy of 97.02%. Meanwhile, the CNN method shows a higher accuracy rate, which is between 98.75% - 100%. Thus, this research confirms the superiority of CNN in this classification process, and shows potential for further use in early detection of heart disease.

Implementasi Metode SAW Untuk Menentukan Program Bantuan Bedah Rumah Di Kabupaten Pandeglang

2023-07-01T23:30:00+00:00

The home surgery assistance program is one of the programs of the Department of housing and settlements, where this program is intended to help ease the burden on the poor. Pandeglang regency consists of 35 sub-districts, 13 sub-districts and 326 village with a population of approximately 1,180,000 people with an area of 2,746,89 km2 with a density of 428 people / km, some of whose population work as farmers. Of the many peoply , there are still many resident whosw economic level is very low(poor). The problem in this study is that the housing and settlement office of Pandeglang regency in term of determining the house surgery assistance program is still subjective so that sometime it is not target , as well as the frequent exchange of application document and the lack of transparency of the result of grant recipients. Therefore, a decision support system is needed that ains to make I easier for the housing and settlement office to determine potential recipient of the this method works by finding the weight value for each alternative, then a calculation processs is carried out to obtain an optimal alternative, to determine to potential recipients of the home surgery program. The implementation of the simple additive weighteinig (SAW) methode can provide solutions based on predetermined criteria to determine the priority of potential recipients of home surgical assistance programs, with the highest ranked alternative with a score of 1

Implementasi Analisis Markov pada R Studio untuk Model Prediksi Perpindahan Pengguna Transportasi Online

2023-07-01T23:31:39+00:00

The development of transportation in Indonesia has entered an era of collaboration with information technology. Online-based transportation has proven to facilitate the mobility of people's lives. The emergence of various online transportation providers in Indonesia requires these providers to have data-based programmed business planning. Predicting customer loyalty is one of the factors considered in business planning. This study aims to predict the switching behavior of online transportation users using Markov Analysis. The study uses data taken from 100 respondents in Jakarta. User switching patterns are analyzed based on the first, second, and third months of online transportation providers used by the respondents. Gojek and Grab are used as the online transportation providers examined in this study. The study results in a Steady State or equilibrium condition, showing that Gojek has a 66% user loyalty rate, while Grab has a 34% user loyalty rate.

Analisis Social Media Pada UMKM Ditinjau Dari Perspektif Open Innovation Dan Human Capital

2023-07-01T23:34:05+00:00

The use of social media and understanding in the field of Information Systems (IS) in the early stages of business activities is a new phenomenon. Social media can provide additional customer and industry data to digitally transform information into knowledge for innovation. Such an amalgamation provides a potentially complementary role in the relationship between human capital and innovation outcomes. Through social media technology, small and medium enterprises (MSMEs) can communicate information and respond to competitors with minimal costs. The ability to share and access information can affect the performance of MSMEs. One important aspect that has emerged recently is open innovation. A previous study has highlighted the importance of human capital for innovation performance. The purpose of this study is to conceptualize the use of social media in an effort to improve the performance of MSMEs from an open innovation-based human capital perspective. The method used is a literature review that is relevant from 2018 to 2022. The results show that the importance of using social media and human capital has a synergistic relationship that has a direct effect on open innovation in improving MSME performance.

Optimasi Algoritma Random Forest menggunakan Principal Component Analysis untuk Deteksi Malware

2023-07-03T04:59:17+00:00

Malware is a type of software designed to harm various devices. As malware evolves and diversifies, traditional signature-based detection methods have become less effective against advanced types such as polymorphic, metamorphic, and oligomorphic malware. To address this challenge, machine learning-based malware detection has emerged as a promising solution. In this study, we evaluated the performance of several machine learning algorithms in detecting malware and applied Principal Component Analysis (PCA) to the best-performing algorithm to reduce the number of features and improve performance. Our results showed that the Random Forest algorithm outperformed Adaboost, Neural Network, Support Vector Machine, and k-Nearest Neighbor algorithms with an accuracy and recall rate of 98.3%. By applying PCA, we were able to further improve the performance of Random Forest to 98.7% for both accuracy and recall while reducing the number of features from 1084 to 32.

Structural Model Kekuatan Kualitas Website dalam Membangun Citra Perguruan Tinggi

2023-07-03T05:01:21+00:00

The website is an information technology facility that is the main branding tool for universities. This research uses studies at tertiary institutions that have changed from high schools to universities. This change has an impact on reducing the number of users accessing the website, so it is necessary to analyze the quality of the website to improve the image of universities. The aim was to analyze the quality of the website on the image of the university by mediating brand awareness, and its impact on user satisfaction and the intention to revisit the university's website. This research is quantitative research with a survey method. The sampling technique used purposive sampling. Questionnaires were distributed to respondents who met the criteria via Google Form in 2023 and obtained 278 respondents. The analysis technique used was Partial Least Square with Structure Equation Modeling (PLS-SEM) using measurement model evaluation and structural model evaluation using the SmartPLS application. The results of this study indicate that there is a strong influence of website quality in building a college's brand image. Improving the quality of the website is proven to be able to increase brand awareness and the image of higher education institutions. The impact of improving the university's image is increasing website user satisfaction so that there is an intention from users to revisit the university's website in the future.

Penerapan Togaf Adm Pada Arsitektur Sistem Informasi Absensi Dan Penggajian Di Desa Sri Purnomo

2023-07-04T04:07:21+00:00

Building an information system in Sri Purnomo village requires IT governance from planning to implementation, so as to produce an organization that is able to achieve its goals optimally. Especially for village governments who want to run good-governance. Payroll operations and attendance attendance are currently done manually so that it slows down payroll calculations. Therefore it is necessary to collect data on the status of attendance, easy to find, and accessible to interested parties at any time, so that payment of salaries given to village officials is in accordance with applicable regulations. The Open This research focuses on the goal of designing an enterprise architecture in the form of a blueprint which includes business architecture, data architecture and application architecture to support Sri Purnomo Village information systems, especially attendance and payroll information systems. The Group Architecture Framework (TOGAF) offers a comprehensive method for managing, creating, and practicing existing business information architecture in the village. The use of Enterprise Architecture in the village of Sri Purnomo provides a clear picture of the system to be developed in the future and system integration.

Implementasi Data Mining Menggunakan Algoritma Fp-Growth Untuk Menganalisa Transaksi Penjualan Ekspor Online

2023-07-04T12:29:29+00:00

In today's online technology, we have to learn various things so that we can adjust to social behavior, for example, buying and selling activities that cover all walks of life, now everyone doesn't hesitate to shop online. The online market is growing fast, especially in Indonesia. Anyone can sell and buy goods easily through online stores, so that people's purchasing power and sales increase due to the proliferation of online stores, XYZ stores are still beginners in terms of sales strategies so they try all efforts without careful preparation, one of the ways to do this is to expand its market coverage even to export goods abroad. the process of exporting goods in the current era is not a difficult thing to do, but it requires knowledge and preparation of a good strategy. from existing sales data can be analyzed to determine the right strategy in marketing goods. Data Mining is a science that helps analyze large amounts of data with the aim of gaining new knowledge that can be utilized. In Data Mining Analysis there is the FP-Growth algorithm which is a data mining technique for finding association rules from lots of data. This is known as the Association rule, where the rule will be determined from the minimum support and confidence results. the rules that are formed produce 10 rules out of 51 existing data, these rules help determine the export sales strategy at the XYZ store.

Perbandingan Algoritma C4.5 Dan Naïve Bayes Untuk Mengukur Tingkat Kepuasan Mahasiswa Dalam Penggunaan Edlink

2023-07-06T01:12:03+00:00

The Faculty of Computer Science, Lancang Kuning University, as a private university in the city of Pekanbaru, uses the Sevima Edlink platform as a media for academic information systems and online learning. According to some students, there are still some obstacles encountered in understanding, using and functioning this edlink application. The purpose of this study was to measure the level of satisfaction of students of the Faculty of Computer Science in using Edlink using the C4.5 and Naïve Bayes algorithms. To measure the level of accuracy of the C4.5 and Naïve Bayes algorithms in order to measure the level of student satisfaction, the indicators used are the Servqual testing model, namely Tangible, Reability, Responsiveness, Assurance, and Empathy. Based on the level of accuracy of the two methods. In the dataset used there were 91 student respondents who had filled out the questionnaire. From the questionnaire data, it was then processed using both methods and 9 comparisons of the different Training Data and Testing Data were carried out. In general, students are satisfied and understand the use of the edlink application. This satisfaction was tested using the C4.5 Decision Tree Algorithm and the Naïve Bayes Classifier. Based on the comparison that has been carried out using the C4.5 Decision Tree Algorithm, it produces an average accuracy value of 77.78%, which is slightly more accurate than the Naïve Bayes Classifier which produces an average accuracy value of 71.11%.

Rancang Bangun Aplikasi E-Commerce Berbasis Android Pada Toko Suryamart Menggunakan Framework Flutter

2023-07-10T23:49:14+00:00

Suryamart is one of the business entities of the Directorate of Business Development and Investment (DPBI) UMSIDA engaged in retail. Although Suryamart is an internal business entity, it not only serves the needs of its internal buyers - employees and lecturers, but also the needs of the general public. In carrying out its business, the author found that many general people still feel unfamiliar with Suryamart stores. In contrast, in-house shoppers are too busy to come to the store to shop in person, so they are less interested in shopping. Therefore, this research was conducted with the aim of helping internal shoppers shop effectively and efficiently, as well as improving interaction with the wider general public in the future. The author uses the waterfall software development model to minimize errors and speed up the development process because it follows a sequential development process. The result of this study is an e-commerce system consisting of applications for users and admins. This application will simplify the process of ordering buyers and management by admins.

The Role of Information Technology in Improving Human Resources Career Development

2023-07-10T23:52:23+00:00

The ubiquity of information technology in contemporary society has rendered it an indispensable component across a wide. The significance of information technology in the advancement of human resource careers is progressively gaining momentum in the current era of globalisation and rapid technological development. The impact of information technology on the business environment has resulted in significant changes in the management of human resources within organisations. The objective of this investigation is to examine the influence of information technology on the progression of HR careers, investigate the related obstacles and prospects, and furnish pragmatic recommendations for enterprises to proficiently adopt and execute information technology in HR career development. The central focus of this inquiry is predominantly qualitative in character. The methodology of acquiring data entails a rigorous approach of observing and documenting data, which is then subjected to analytical techniques such as data reduction, visualisation, and inference to extract significant findings. The research findings indicate that the utilisation of information technology plays a crucial role in enhancing the professional growth of human resources. The field of information technology facilitates convenient retrieval of information, affords avenues for remote education, enables networking among professionals, and offers tools for enhancing productivity. This facilitates the human resources department to augment their skill set, broaden their knowledge base, establish professional connections, and leverage existing career prospects.

Manajemen User Dan Pengelolaan Bandwith Pada Jaringan Hotspot SAR Management Router

2023-07-10T23:54:10+00:00

The use of the internet is currently an important requirement at the STMIK Amik Riau institution, especially in the fields of administration, service and learning. The whole process of the current hotspot internet network service will be connected to students, lecturers, employees and guests. The user must register the network card device in the form of a MAC address to the admin. However, the current system has many weaknesses, including the use of the internet by lecturers and employees as well as the slow performance of information services, getting uneven internet access, while students do not have free hotspot access. This study aims to solve this problem by implementing user login management and bandwidth using the Queue Tree method with the Peer Connection Queue (PCQ) feature. The management process on the server can limit user traffic in uploading and downloading and bandwidth is divided equally in obtaining internet services. In this study, when a user accesses the internet, it is enough to use NIM, NIDN, NIK and guests are given access by default. This research aims to make it easier to access the internet using both laptops and other devices, to make it easier for users and admins to get and provide internet facilities.

Application of ChatGPT in Improving Customer Sentiment Analysis for Businesses

2023-07-10T23:56:05+00:00

In the contemporary era of digitization, prosperous enterprises exhibit a keen interest in the feedback and perceptions of their customers regarding the products or services they provide. The analysis of customer sentiment, which entails comprehending and construing customer emotions and viewpoints, has emerged as a crucial element of business tactics aimed at augmenting customer contentment and recognising avenues for enhancement. The objective of this study is to investigate and employ ChatGPT within the realm of business customer sentiment analysis. The central focus of this inquiry is predominantly qualitative in character. The procedure of gathering data entails careful scrutiny and systematic documentation of information, subsequently utilising analytical techniques such as data reduction, visualisation, and inference to deduce significant findings. The findings of the study indicate that the utilisation of ChatGPT has significant potential in enhancing the analysis of customer sentiment for commercial enterprises. This can aid in comprehending and addressing the requirements, inclinations, and contentment levels of customers. ChatGPT's proficiency in comprehending natural language, detecting customer emotions, and processing extensive data instantaneously, can furnish enterprises with valuable perspectives to enhance their decision-making processes.

Sistem Informasi Inventaris Toko berbasis Web untuk UMKM Penyewaan Kostum

2023-07-11T00:01:08+00:00

Inventory recording is critical for business players, not only for giant corporations but also for micro, small, and medium enterprise (MSMEs). A thorough record of entering and exiting items can reduce errors, streamline work procedures, and make future investment decisions easier. However, due to limited human resources in information technology, MSMEs may continue to keep records manually. Store N, a costume rental MSME, also encountered a similar issue. Business owners need help keeping track of the rotation of costumes, especially at certain events. This research aims to create a web-based shop inventory information system based on the waterfall model to assist store N in running its business. Purchases, rentals, returns, and the state of costumes are all recorded centrally in a database. The research results found that this system functions properly, speeds up employees serving customers, and makes it easier for owners to monitor business activities and allocate funds appropriately to procure new costumes.

The Role of Information Technology in Improving the Efficiency and Productivity of Human Resources in the Workplace

2023-07-12T01:11:14+00:00

The ubiquity of information technology in contemporary society has rendered it an indispensable component across a wide range of domains. The utilization of information technology has had a noteworthy influence on enhancing efficiency and productivity in diverse domains, encompassing the professional milieu. The Human Resources function is a crucial element within an organization, playing a significant role in driving the success and expansion of the company. The objective of this investigation is to scrutinize the function of IT in enhancing HR efficacy and output within the workplace. It is crucial to comprehend the ramifications of IT employment within an organizational framework. The primary emphasis of this investigation is qualitative in nature. The process of data collection involves meticulous observation and recording of data, followed by the application of analytical methods such as data reduction, visualisation, and inference to derive meaningful insights. The research has deduced that in the constantly changing digital era, the significance of information technology in enhancing the effectiveness and output of human resources in the work environment is pivotal. IT facilitates the automation of mundane tasks, enhances collaboration, provides expedient access to information, enables effective training, supports intelligent data analysis, promotes efficient performance management, allows for work flexibility, and ensures information security.

Unleashing the Potentials of Artificial Intelligence for Micro, Small, and Medium Enterprises: A Systematic Literature Review

2023-07-13T01:52:56+00:00

Artificial intelligence has undergone rapid evolution, reaching a level of sophistication where it is now considered a personal assistant, aiding humans in their daily tasks. The potential of artificial intelligence can be observed in almost every sector of life including the business sector. Limited resources and skill capabilities especially for micro, small, and medium enterprises tend to hinder progress. However, given the current advanced level of artificial intelligence, it has emerged as an innovative and cost-effective solution to support business actors. This research systematically examines and discusses the potential of utilizing artificial intelligence in the business sector from credible and scientific sources. A systematic literature review methodology is used for this study. The review encompasses Scopus-indexed journals published between 2019 and 2023, with additional open-access publications. Based on the research findings, 106 studies were found, however, after the screening process the number of studies is reduced to 13 articles. Customer churn management emerged as the most prominent utilization of artificial intelligence. On the other hand, from a technological perspective, optimization technique emerged as the most frequently addressed topic in the examined studies.

Implementasi Model Service-Oriented Architecture (SOA) dalam Perancangan Sistem Informasi UMKM

2023-07-14T01:14:09+00:00

This research focuses on developing a Small and Medium Enterprises (SMEs) Information System architecture using the Service-Oriented Architecture (SOA) and microservices approach. This study successfully integrated SME system services and functionalities encompassing accounting management, financial management, product analysis, stock management, invoicing, and taxation services within an SOA structure. Adopting the principles of microservices, each service was able to isolate information and ensure consistency within its scope. Using CI/CD, service mesh, and the Kubernetes platform facilitated efficient and secure code delivery and effective inter-service communication management. This research demonstrates the importance of service-oriented architecture and microservices in building a modular, flexible, and customizable SME information system that can reuse resources and reduce dependency on back-end applications. As a result, the system produced can be easily adapted and enhanced to meet changing policy and business needs.

Implementasi Metode RAD Untuk Pendaftaran Lowongan Kerja Melalui Bursa Kerja Berbasis Website

2023-07-14T02:29:57+00:00

The system of recruiting workers in schools through special job fairs (BKK) is considered to be ineffective because the provision of job vacancies to alumni still uses information manually, such as using wall magazines as a place to post job vacancies and using social media such as Facebook as a means of information. Job opening is also considered less efficient due to limited users limited by social media itself. Registration is also done manually by alumni who come directly to BKK to register, and the vacancy data collection is still done manually, so it takes longer time to process registration data. The purpose of this research is to build a job vacancy registration system application through the BKK website based on the website to make it easier for BKK to provide job vacancy information and make it easier to recruit workers. This application development study uses the Rapid Application Development (RAD) method. Test the app using system black box and user usability testing methods.

Perancangan Enterprise Architecture Pada SMKN1 di Pulau Bangka Menggunakan Metode Zachman Framework

2023-07-16T02:03:17+00:00

SMKN1 on the island of Bangka is a school located in the Bangka area. Currently, SMKN1 already uses and implements IS/IT to carry out its business processes. There are several problems in schools such as a website system that cannot be accessed, student attendance records are done manually so that recording errors often occur, and errors in recording the names of students who have attended extracurricular due to the large number of students. Therefore, we need an IS/IT design that can support the company's ongoing business processes. In this study, research and design were carried out with the application of enterprise architecture. The framework used in this article is the Zachman framework. In this paper, a complete perspective is not used, only using a 4x5 perspective because the process is not carried out until the implementation, the process is carried out only until the design. The result of the design is in the form of an IS/IT system blueprint. Suggested applications are school websites, e-library websites, attendance websites, procurement systems, and extracurricular websites.

Penerapan Machine Learning Untuk Menentukan Tingkat Kepuasan Tamu Hotel Dymens Menggunakan Metode Vader

2023-07-16T02:05:12+00:00

In Indonesia there are several social media that provide reviews and experiences related to an inn, including Tripadvisor.com, Traveloka, Tiket.com, and many more. Over time, machine learning can replace and improve human abilities in various fields, Machine Learning has been extensively researched and used to solve various problems. Among them is to find out how the assessment and views of hotel guests regarding the services and policies set. With reviews from customers or hotel guests, we can find out how the quality of the product or service is implemented, so that an evaluation can be carried out to increase customer satisfaction. Sentiment analysis, or opinion evaluation is an active area of study in the field of natural language processing that analyzes opinions, sentiments, evaluations, attitudes, and emotions through improving the processing of subjectivity in texts. Sentiment analysis is useful for a wide variety of issues of interest to human-computer interaction practices and researchers, as well as people from fields such as: sociology, marketing and advertising, psychology, eco-economics, and political science. The process of sentiment analysis is often done to find out positive, neutral or negative opinion from the public regarding a certain matter. The Valence Aware Dictionary and Sentiment Reasoner (VADER) method is a sentiment analysis method that can identify a person's emotions based on words. So that the VADER Method can be used to identify hotel guest reviews and hotel management can make decisions based on the results of these assessments or reviews

Web Store Teh Krisan (erpekrisan) Rachmat Purnama Farm

2023-07-17T02:07:23+00:00

The Rachmat Purnama Farm Company, a producer of chrysanthemum flowers located in Cianjur Regency, has made efforts to process chrysanthemum flowers into chrysanthemum tea. However, the marketing remains limited, as sales are conducted directly. Consequently, the company recognizes the need for an online web store to enhance its marketing reach. The purpose of this system is to provide customers with information about chrysanthemum tea and facilitate convenient purchase transactions. The waterfall model is used as the software development method, which covers requirements analysis, system design, program code development, program testing, and program implementation and maintenance. The features of the online web store include account management, customer management, product categorization, product listings, attributes, sales, payments, shipping, and transaction reports. The implementation has positively impacted the company’s sales of chrysanthemum tea products, as shown by the increasing number of online purchases. Moreover, the marketing area coverage has expanded to Jakarta and Kalimantan.

Sistem Pendukung Keputusan Penentuan Pemberian Reward Terbaik Terhadap Customer Dengan Metode SMART

2023-07-22T02:38:37+00:00

Online Shop Shaqueena is an independent business sector engaged in selling beauty masks and various types of skincare products. For the sake of smooth business, the Shaqueena Store maintains good relations with consumers. One of the things that is done to establish good relations with consumers is to provide rewards or awards to the best customers. Based on observations, the process of selecting and recommending the best customers at the Shaqueena store is still done manually and randomly without using the help of the system. This manual and random selection is ineffective because the selection process itself is time-consuming and results in a lack of accuracy on which customers will be rewarded. This study aims to implement the SMART method in the reward system for customers. In its application the system is built using web-based programming and the PHP programming language with MySQL as the storage database. The method used in this study is the SMART method. Where SMART has flexibility in weighting, so it is suitable to be applied to the selection of rewards where there is no assessment weight. The result of this research is a website-based decision support system.

Sistem Otomasi Lazy Minting NFT di Marketplace Rarible pada Blockchain Ethereum Menggunakan Autoit

2023-07-28T04:55:42+00:00

This research is motivated by the difficulty of the Lazy Minting NFT process in the Rarible Marketplace. The NFT Lazy Mining process on the Rarible Marketplace can be said to be inefficient because the process still has to be done one by one. Not to mention other problems that arise such as wrong numbering and typing errors or typos. This resulted in the Lazy Minting NFT process on the Rarible Marketplace becoming less effective. This problem will make it difficult for NFT creators if they have a large number of digital works. Therefore, this research aims to build an automated NFT Lazy minting system on the Rarible Marketplace on the Ethereum Blockchain using AutoIt, so that the NFT Lazy minting process on the Rarible Marketplace becomes more effective and efficient. The method used in the development of the Lazy Minting NFT automation system in the Rarible Marketplace is Agile Development. This research resulted in a Lazy minting NFT automation system on the Rarible Marketplace on the Ethereum Blockchain. The conclusion of this study is that the application of this system is able to make the NFT Lazy mining process on the Rarible Marketplace more effective and efficient. This can make it easier for NFT creators in their NFT sales process.

Optimalisasi Sistem Informasi Penjualan Berbasis Android Sebagai Media Promosi produk Cemilan Khas sumatera Barat Di HDD Snack menggunakan metode waterfall

2023-07-29T04:02:01+00:00

Pandemic covid 19 has spread all over the world , it made every sector stope, especially economic sector dan touristm sector, in every country in the word, after pandemic ,every country make their own policy to make their country not fall into recession, not even indonesia , the government want everyone can make a solution to make indonesian economy can growe and better before pandemic , one of solution are to develope any ideas with technologi , HDD snack is one of little company who’s affected og pandemic, this company everyday producting a traditional sncak form west sumatera, cause of pandemic thei can produce their product thereatened with bangkrupcy. And now we want make a study to hel this company to promote their product by using the technology , hdd snack not only can promote their product with traditional way ,but they can promote thei product in internet wit make a media promote like a website. It can increase their customer. In the future