SISTEM MONITORING COVID-19 (SIMOVID) MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) UNTUK MENENTUKAN PASIEN PRIORITAS

Coronavirus Disease 2019 (COVID-19) adalah epidemi yang menginfeksi berbagai manusia hampir di seluruh dunia, tidak terkecuali negara Indonesia. Dalam proses penanganan kasus pasien COVID-19 masih banyak pasien yang belum tertangani secara maksimal, terutama pasien isolasi mandiri,  Dari permasalahan tersebut diperlukan sistem monitoring untuk membantu petugas (surveilans) untuk mempermudah menangani pasien sehingga pasien tertangani secara tepat dan maksimal. Sistem monitoring ini menggunakan metode Simple Additive Weighting (SAW) yang bertujuan  merekomendasikan pasien sesuai dengan tingkat prioritas berdasarkan kriteria yang digunakan yaitu umur, komorbid, kriteria kasus, vaksinasi dan hasil pemantauan. Hasil akhir dari penelitian yaitu  pasien Moch Khamdan sebagai pasien prioritas dengan skor 0,85. Petugas (surveilans) dapat menggunakan sistem ini untuk menunjang tugas agar pasien COVID-19 dapat tertangani secara tepat dan  maksimal. Kata Kunci : Sistem Monitoring, Simple Additive Weighting, Covid-19                                                                                                                                                      &nbsp

Aplikasi Pemilihan Kaos Menggunakan Algoritma SAW dan TOPSIS

Fashion is a form of individual expression through clothing and accessories that are related to style and popular trends at a given time. The popularity of fashion is influenced by cultural, historical, social, political, and other factors. T-shirts have become the most common and versatile item in various fashion styles, both casual and formal. However, many people find it difficult to choose a suitable t-shirt that meets their needs and desires due to the many brand options available in Indonesia. Therefore, a decision support system is needed to help people choose the right t-shirt. This decision support system uses four criteria in selecting a t-shirt, namely material, design, sleeve, and size. This system adopts the Simple Additive Weighting (SAW) and Technique for Others Reference by Similarity to Ideal Solution (TOPSIS) methods. The use of these two methods aims to obtain the best reference results from each method. The results from the SAW and TOPSIS methods have the same alternatives, namely A1 (Erigo - Antelope) and A7 (Elhaus - Guaranteed) with SAW ranking values of 0.96 and TOPSIS ranking values of 0.8235. The public can easily use the system because it is created as a website based on the PHP programming language and MySQL database.Fashion adalah bentuk ekspresi individu melalui pakaian dan aksesori yang berkaitan dengan gaya dan tren populer pada suatu waktu. Popularitas fashion dipengaruhi oleh faktor-faktor budaya, sejarah, sosial, politik, dan lainnya. Kaos menjadi item paling umum dan serbaguna dalam berbagai gaya mode, baik kasual maupun formal. Namun, banyak masyarakat kesulitan memilih kaos yang sesuai dengan kebutuhan dan keinginan karena banyaknya pilihan brand di Indonesia. Oleh karena itu, dibutuhkan sistem pendukung keputusan untuk membantu masyarakat dalam memilih kaos yang sesuai. Sistem pendukung keputusan ini menggunakan empat kriteria dalam memilih kaos, yaitu bahan, desain, lengan, dan ukuran. Sistem ini mengadopsi metode Simple Additive Weighting (SAW) dan Technique for Others Reference by Similarity to Ideal Solution (TOPSIS). Digunakannya dua metode ini bertujuan untuk mendapatkan hasil referensi terbaik dari masing-masing metode. Hasil dari metode SAW dan TOPSIS ini memiliki alternatif yang sama, yaitu alternatif A1 (Erigo – Antelope) dan A7 (Elhaus – Guaranteed) dengan nilai ranking SAW 0.96 dan nilai Ranking TOPSIS 0.8235. Masyarakat dapat dengan mudah menggunakan sistem karena dibuat berbasis website menggunakan bahasa pemrograman PHP dan database MySQL

Implementasi Arsitektur Microservices Menggunakan RESTful API Untuk Website Online Course Esploor

Rapid technological developments affect various aspects of life, such as education. Many online learning platforms provide various materials needed by the community. Online course applications usually consist of many interconnected services. Traditionally, applications are built with a monolithic approach that makes all services in the same codebase, so they often experience many problems as the system grows larger. The online course application will be created using a microservices architecture to facilitate maintenance and update. Microservices are intended so that each service can perform one function well. One service with another service can be connected using the Application Programming Interface (API) such as REST. The system design uses the Web Service Implementation Methodology (WSIM). This online course application uses two languages, JavaScript and PHP on the BackEnd side and MySQL as a Database Management System (DBMS) to store data and ReactJs technology to build a user interface.Perkembangan teknologi yang pesat mempengaruhi berbagai aspek kehidupan seperti bidang pendidikan. Banyak platform pembelajaran online yang menyediakan berbagai materi yang dibutuhkan masyarakat. Aplikasi kursus online biasanya terdiri dari banyak layanan yang saling terhubung. Secara tradisional aplikasi dibangun dengan pendekatan monolitik yang menjadikan semua layanan berada pada satu codebase yang sama sehingga sering mengalami banyak masalah ketika sistem berkembang semakin besar. Untuk memudahkan dalam pemeliharaan dan pembaharuan, aplikasi kursus online akan dibuat menggunakan arsitektur microservices. Microservices ditujukan agar setiap service dapat melakukan satu fungsionalitas dengan baik. Antar service satu dengan service lain dapat terhubung menggunakan Application Programming Interface (API) seperti REST. Perancangan sistem dilakukan dengan metode Web Service Implementation Methodology (WSIM). Aplikasi kursus online ini menggunakan dua bahasa yaitu JavaScript dan PHP pada sisi BackEnd nya dan MySQL sebagai Database Management System (DBMS) untuk menyimpan data dan teknologi ReactJs untuk membangun tampilan antarmuka pengguna

Impementasi CRM Untuk Meningkatkan Loyalitas Pelanggan Pada Layanan Catering

Information technology has become a bridge to connect a wide variety of human needs. No doubt that human work was greatly helped by her presence. No exception in services business catering services. Internet making business catering services becomes increasingly growing rapidly because it can connect with the needs of service users are well-known catering company with the term CRM (Customer Relathionship Management).Catering company to build relationships with service users, may be increased either by the application CRM-based online catering. Hopefully with the application, Barokah Catering is the object of this study could serve ordering online. Where customers facilitated in making reservations, obtain information company, efficient, can give suggestions, comments, and complaints during this time can not be accommodated by the company. The company also benefited from customer loyalty can be maintained and is expected to attract new customers so that profits can be increased. With a web-based, information, data, and services can be delivered and handled in a short time

Implementasi Metode Convolutional Neural Network untuk Deteksi Penggunaan Masker secara Real-Time

The ongoing COVID-19 pandemic has led many countries to implement mask-wearing policies as a way to control the spread of the virus. Therefore, real-time mask detection can help in ensuring public compliance with the policy. This research uses a public dataset of 1300 masked and unmasked images. After that, a CNN network structure was developed using the Java programming language and the TensorFlow framework. The test results show that the developed system can detect the use of masks with an accuracy of 97.5% at camera distances from 1 to 10 meters. The test results show that factors such as the distance from the camera to the object, the presence of other obstructing objects, and the lack of lighting can affect the accuracy of the system. The results of this study show that the use of the Convolutional Neural Network method can be an effective solution for detecting mask use in real-time. This system can be used to help ensure public compliance with mask use policies and assist in controlling the spread of the COVID-19 virus.Pandemi COVID-19 yang masih berlangsung telah menyebabkan banyak negara menerapkan kebijakan penggunaan masker sebagai salah satu cara untuk mengendalikan penyebaran virus. Oleh karena itu, deteksi masker secara real-time dapat membantu dalam memastikan kepatuhan masyarakat terhadap kebijakan tersebut. Penelitian ini menggunakan dataset publik sebanyak 1300 citra bermasker dan tidak bermasker. Setelah itu, dilakukan pengembangan struktur jaringan CNN dengan menggunakan bahasa pemrograman Java dan framework TensorFlow. Hasil pengujian menunjukkan bahwa sistem yang dikembangkan dapat mendeteksi penggunaan masker dengan akurasi sebesar 97.5% pada jarak kamera dari 1 hingga 10 meter. Hasil pengujian menunjukkan bahwa faktor-faktor seperti jarak dari kamera ke objek, keberadaan objek lain yang menghalangi, dan minimnya pencahayaan dapat mempengaruhi akurasi sistem. Hasil penelitian ini menunjukkan bahwa penggunaan metode Convolutional Neural Network dapat menjadi solusi yang efektif untuk mendeteksi penggunaan masker secara real-time. Sistem ini dapat digunakan untuk membantu memastikan kepatuhan masyarakat terhadap kebijakan penggunaan masker dan membantu dalam mengendalikan penyebaran virus COVID-19

APLIKASI MANAJEMEN TUGAS TASKIFY UNTUK MENENTUKAN PRIORITAS PEKERJAAN FREELANCER DENGAN AHP DAN TOPSIS

Freelancer merupakan profesi yang semakin populer saat ini. Pekerja lepas (freelancer) adalah orang yang bekerja berdasarkan waktu yang ditetapkan sendiri dan tidak dibatasi oleh perjanjian kerja, mereka dapat mengerjakan berbagai proyek seperti pemrograman, desain grafis, pengembangan situs web, dan penulisan artikel. Pekerjaan freelancer membutuhkan manajemen tugas yang efektif dan efisien untuk memaksimalkan produktivitas mereka. Dalam penelitian ini, peneliti mengembangkan aplikasi manajemen tugas bernama Taskify yang menggunakan metode AHP dan TOPSIS untuk menentukan prioritas pekerjaan freelancer. Hasil penelitian menunjukkan bahwa aplikasi Taskify dapat mengurangi masalah penilaian urutan pengerjaan tugas yang harus diselesaikan lebih awal yang sebelumnya hanya dilakukan dengan sistem perkiraan. Pengujian aplikasi Taskify menghasilkan urutan peringkat yang efektif dalam menentukan tugas prioritas. Penelitian ini menghasilkan sebuah website berupa aplikasi manajemen tugas freelancer dengan menggunakan metode AHP dan TOPSIS yang dapat membantu freelancer dalam mengatur dan memprioritaskan tugas mereka dengan lebih baik dan efektif dengan kriteria-kriteria yang telah ditentukan

Sistem Rekomendasi Pencarian Tempat Wisata Kota Batang Menggunakan Haversine

Batang City has many tourist attractions, but most people only visit a few places, so many other tourist attractions in Batang City are rarely visited and less exposed. In the current era of rapidly developing technology, recommendation systems are needed in all fields, especially or especially in finding locations such as finding the closest tourist destination to the user's position in the city of Batang. This study aims to create a recommendation system for searching for tourist attractions in Batang City that can display two Batang City tours from the closest distance to the user using the haversine method and displaying tourist details in Batang City which consists of the name of the tourist spot, the distance from the user's location to the tourist spot, address, telephone number and description of the selected Batang city tourist attractions.Kota Batang memiliki banyak tempat wisata, namun kebanyakan orang hanya mengunjungi sedikit tempat, sehingga banyak tempat wisata lain di Kota Batang yang jarang dikunjungi dan kurang terekspos. Di era teknologi yang berkembang pesat saat ini, sistem rekomendasi sangat dibutuhkan di segala bidang terutama atau terutama dalam mencari lokasi seperti mencari destinasi wisata terdekat dengan posisi pengguna di kota Batang. Penelitian ini bertujuan untuk membuat sistem rekomendasi pencarian tempat wisata di kota batang yang dapat menampilkan dua wisata kota batang dari jarak terdekat dengan pengguna menggunakan metode haversine dan menampilkan detail wisata di kota batang yang terdiri dari nama tempat wisata, jarak dari lokasi pengguna ke tempat wisata, alamat, nomor telepon dan deskripsi tempat wisata kota batang yang dipilih

Expert System for Diagnosing Newborn Babies Disease Using the Sorgenfrei Similarity Method

Newborn neonates who are 0-28 days old. At that time the baby has a physical condition that is very weak and helpless to the surrounding environment. Newborns need special handling different from babies at the age of 1 month also above. Diagnosis also treatment is quickly required by the midwife in an emergency. Without there are still many midwives who have not been able to handle it properly, causing the baby's condition to become worse. To get fast and accurate handling information, we need a system in the form of an expert system. Expert systems can diagnose newborn diseases using the Sorgenfrei similarity algorithm. The system can display information about the type of disease, symptoms, solutions, and the percentage of similarity from the results of consulting the symptoms input. The results of testing the system with the consultation of the symptoms included got the highest percentage of similarity results 53.33%. The percentage of similarity results below 20% will be entered into the revised table which will later be corrected by experts. This expert system is built based on a website that can be accessed by all midwives who need handling informationNewborn neonates who are 0-28 days old. At that time the baby has a physical condition that is very weak and helpless to the surrounding environment. Newborns need special handling different from babies at the age of 1 month also above. Diagnosis also treatment is quickly required by the midwife in an emergency. Without there are still many midwives who have not been able to handle it properly, causing the baby's condition to become worse. To get fast and accurate handling information, we need a system in the form of an expert system. Expert systems can diagnose newborn diseases using the Sorgenfrei similarity algorithm. The system can display information about the type of disease, symptoms, solutions, and the percentage of similarity from the results of consulting the symptoms input. The results of testing the system with the consultation of the symptoms included got the highest percentage of similarity results 53.33%. The percentage of similarity results below 20% will be entered into the revised table which will later be corrected by experts. This expert system is built based on a website that can be accessed by all midwives who need handling informatio

Best Products with TOPSIS Method and Sales Forecasting with Weighted Moving Average

In a company engaged in the sale and purchase of products can not be separated from the calculation of profit or loss that is the main factor for the company's progress. However, in certain companies such as minimarkets and convenience stores, it is not easy to record company profits and losses. This of course requires a system that can help companies in determining sales strategies or at least a picture of sales in the future. Things that can be done to help these problems is to create a system that forecast sales or forecasting. One method that can be used to make sales forecasts is the wighted moving average method. However, due to the large number of products sold in minimarkets with different values, of course there must be other methods that can filter products so that forecasting can be more effective. One way to handle this is to use a product ranking system with the Techinique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The topsis method was chosen because the calculation is very detailed and structured, so that it can maximize the ranking value. By combining sales forecasts and product ranking is expected to create a system that can help companies in determining sales strategies in the future. Later this system is combined with the point of sale system to get accurate sales results. This system is designed using PHP and Javascript programming languages, then the database is stored in MySQL.In a company engaged in the sale and purchase of products can not be separated from the calculation of profit or loss that is the main factor for the company's progress. However, in certain companies such as minimarkets and convenience stores, it is not easy to record company profits and losses. This of course requires a system that can help companies in determining sales strategies or at least a picture of sales in the future. Things that can be done to help these problems is to create a system that forecast sales or forecasting. One method that can be used to make sales forecasts is the wighted moving average method. However, due to the large number of products sold in minimarkets with different values, of course there must be other methods that can filter products so that forecasting can be more effective. One way to handle this is to use a product ranking system with the Techinique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The topsis method was chosen because the calculation is very detailed and structured, so that it can maximize the ranking value. By combining sales forecasts and product ranking is expected to create a system that can help companies in determining sales strategies in the future. Later this system is combined with the point of sale system to get accurate sales results. This system is designed using PHP and Javascript programming languages, then the database is stored in MySQL