Garuda - Garba Rujukan Digital

SISTEM MONITORING COVID-19 (SIMOVID) MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) UNTUK MENENTUKAN PASIEN PRIORITAS BACHTIAR YUSUF; IMAM HUSNI AL-AMIN
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 7 No 1 (2022): APRIL
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/instek.v7i1.27252

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

APLIKASI SOSIAL MEDIA HABBITS MENGGUNAKAN ALGORITMA SIMPLE ADDITIVE WEIGHTING (SAW) FARIZ AKBAR SHALAHHUDDIN; IMAM HUSNI AL AMIN
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 7 No 2 (2022): OCTOBER
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/instek.v7i2.30963

Working From Home menjadi tren baru di kalangan masyarakat umum. Tren ini memberikan dampak positif bagi perusahaan dan karyawan, dimana perusahaan bisa memperkerjakan karyawan dari manapun dan semua orang bisa bekerja lebih fleksibel secara remote tanpa harus bepergian ke kantor. Munculnya tren ini tentu juga menimbulkan masalah baru yaitu berubahnya perubahan aktivitas keseharian yang berbeda dengan sebelumnya. Tren ini juga mengharuskan setiap orang mempunyai perangkat seperti smartphone atau laptop untuk bekerja, hal ini menjadi kesempatan untuk membantu mereka mengatur jadwal melalui aplikasi web. Sistem ini menggunakan Algoritma Simple Additive Weighting untuk menghasilkan rekomendasi manajemen waktu berdasarkan kriteria rating, jumlah tugas dan jumlah dipakai. Hasil perhitungan tersebut akan memberikan rekomendasi manajemen waktu bagi pengguna agar dapat melakukan kegiatannya secara lebih produktif. Kata Kunci : Manajemen waktu, Produktivitas, Simple Additive Weighting, Todolist

Implementasi Arsitektur Microservices Menggunakan RESTful API Untuk Website Online Course Esploor Fath, Tata Redha Al; Amin, Imam Husni Al
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 7 No. 2 : Tahun 2022
Publisher : LPPM UNIKA Santo Thomas

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

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.

Aplikasi Pemilihan Kaos Menggunakan Algoritma SAW dan TOPSIS Waskito, Punto; Al Amin, Imam Husni
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 8 No. 1 : Tahun 2023
Publisher : LPPM UNIKA Santo Thomas

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

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.

Implementasi Metode Convolutional Neural Network untuk Deteksi Penggunaan Masker secara Real-Time Marinda, Deva Ega; Amin, Imam Husni Al
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 8 No. 1 : Tahun 2023
Publisher : LPPM UNIKA Santo Thomas

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

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.

Sistem Rekomendasi Pencarian Tempat Wisata Kota Batang Menggunakan Haversine Arningtya, Luthfi Arningtya; Amin, Imam Husni Al
MEANS (Media Informasi Analisa dan Sistem) Volume 7 Nomor 2
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/means.v7i2.2099

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.

Implementasi Arsitektur Microservices Menggunakan RESTful API Untuk Website Online Course Esploor Fath, Tata Redha Al; Amin, Imam Husni Al
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 7 No. 2 : Tahun 2022
Publisher : LPPM UNIKA Santo Thomas

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

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.

Aplikasi Pemilihan Kaos Menggunakan Algoritma SAW dan TOPSIS Waskito, Punto; Al Amin, Imam Husni
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 8 No. 1 : Tahun 2023
Publisher : LPPM UNIKA Santo Thomas

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

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.

Implementasi Metode Convolutional Neural Network untuk Deteksi Penggunaan Masker secara Real-Time Marinda, Deva Ega; Amin, Imam Husni Al
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 8 No. 1 : Tahun 2023
Publisher : LPPM UNIKA Santo Thomas

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

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.

Implementasi Metode Simple Additive Weighting (SAW) Dalam Sistem Pendukung Keputusan Karyawan Teladan Sofin Rendian Novianto; Imam Husni al Amin
Elkom: Jurnal Elektronika dan Komputer Vol. 16 No. 1 (2023): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v16i1.1052

Employees are Human Resources who are very important to achieve the company's vision and mission. Employees have a significant impact on the company's growth and ability to compete in the market. One way to create quality human resources, we need a system to determine exemplary employees. One way to determine employees by using a decision support system. Decision support systems are made to determine exemplary employees in a company based on predetermined weights. The method used in this system is Simple Additive Weighting because it has the advantage of being able to determine the weight value of each attribute. The results obtained from calculations using this system are the names of exemplary employees who have been sorted according to their ranking from the top to the bottom and this system can be used by companies to make it easier to give rewards or appreciation in determining exemplary employees.

Title

Found 82 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 82 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 82 Documents
Search