Family Archive Restoration Service (LARASKA) is a national archival institution that is present directly in the midst of people who have difficulty in handling community archives damaged by disasters. Since its launch in 2019, LARASKA has helped as many as 790 families and has repaired 33,193 archives. LARASKA ANRI is a service provided to the public free of charge by following established procedures. On February 21, 2021, exactly 1 day after the flood-hit Jabodetabek, the LARASKA ANRI team established a command post at the location to help people who have difficulty coming directly to ANRI. Thus, it is hoped that important public archives or documents as evidence of organizational accountability, both government and private, as well as evidence of community civil rights can be saved. The aim of the researchers from this study was to build a website-based LARASKA application to make it easier for the public to use the online application and conduct assessment analysis using the PIECES Framework.
Selection of the right wireless router can maximize the performance of the internet network. Especially for a company whose business is very dependent on the internet network, choosing the right wireless router is an important factor. The purpose of this study is to implement one of the Fuzzy Multiple Attribute Decision Making (FMADM) approaches, namely the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method in a decision support system for selecting wireless router devices to help individuals and companies determine the right wireless router and according to what the user wants. The TOPSIS method is used because it is practical in its use, and has simplicity in concept, efficiency in the computational process and the best alternative is obtained by paying attention to the distance of the closest positive ideal solution and the farthest negative ideal solution distance. The system is built with software development techniques using the Extreme Programming (XP) method which begins with the planning, design, coding and testing stages. The developed system has functions such as being able to manage alternative data, criteria data, weight data, alternative values for each criterion, perform calculations using the TOPSIS method and can display the best alternative results. The results of the black-box testing show that the developed system can function and run well. In addition, the results by calculating manually with the system show the same results.
Covid-19 is a new type of disease caused by a virus from the coronavirus class. Covid-19 spreads between humans very quickly and spreads to several countries including Indonesia, in just a few months. In this digital era, the role of media including IoT technology itself is very important for the development of information distribution in a fast, precise, and real-time manner and is able to cut existing distance boundaries. In this study, a wireless data monitoring system for the distribution of Covid-19 was created. This system uses a data parsing method that utilizes the Thingspeak application, to process data using the Arduino IDE and utilizing the ESP8266 as a wireless data transmission medium. The processed data is then displayed on an OLED layer.Keywords:Covid-19, Information, Media, IoT, Digital.
Kemajuan teknologi di era Globalisasi, banyak dimanfaatkan dalam berbagai bidang, salah satunya dalam bidang bisnis. Sebagai contoh pada media promosi, yaitu hadirnya teknologi augmented reality yang merupakan sebuah teknologi yang membawa objek virtual 3D yang dibuat menggunakan komputer, ke dalam dunia nyata 3D. Cara kerja augmented reality sendiri yaitu dengan melacak marker (penanda) melalui kamera yang bertindak sebagai mata yang dimana dapat mengenali objek dan kemudian diproyeksikan dalam waktu nyata. Untuk itu teknologi tersebut akan diterapkan pada penelitian ini, yang membahas tentang penerapan augmented reality pada brosur smartphone dengan algoritma FAST Corner Detection (FCD). Tujuan dari penggunaan teknologi augmented reality pada brosur ini, untuk membuat pembaca dapat melihat objek 3D pada brosur menggunakan aplikasi augmented reality smartphone yang dapat diinstal pada smartphone pembaca. Dan fungsi dari penggunaan algoritma FCD sendiri yaitu untuk mengenali marker dengan cara melacak titik-titik (sudut) pusat pada gambar marker. Hasil pengujian dari peneltian ini yaitu aplikasi dapat digunakan dengan baik untuk scan marker pada intensitas cukup cahaya sampai banyak cahaya dan dengan jarak ≤50 cm - <80 cm dari kamera AR ke penanda.
For companies that use information systems or websites in their business activities, server maintenance is an important thing. For this reason, the selection of a server maintenance vendor is crucial. Vendor determination usually begins with gathering information and holding a leadership meeting based on the assumptions of the decision maker. But this method is time consuming and less objective. Vendor selection is a multi-criteria problem where each criterion has a different importance. This can be solved by using the Multi-Criteria Decision Making (MCDM) approach. Weighthet Product (WP) is one of the methods of solving MCDM. The purpose of this research is to develop a decision support system to determine the best maintenance vendor using the Weighted Product (WP) method. The system is built using a waterfall system development approach that starts from analysis, design, coding and testing. The developed system has the ability to manage alternatives, criteria, alternative assessments, calculations with WP, and displays the best alternative results with WP. From the results of black-box testing, it shows that the developed system can function and run well. In addition, the results of manual calculations with the system show the same results.
In the world of education knowing the personality type of students is very important. This is because a person's personality is influential in his learning activities and how he digests and captures the material presented by the teacher. For this reason, knowing the classification of students' personalities needs to be identified so that teachers or students themselves can optimize self-change in a better and positive direction. This study aims to develop a psychological classification system for student personality types using the C.45 decision tree algorithm. The personality type used as a class in the classification is based on psychology, including: Sanguine, Phlegmatic, Choleric and Melancholic. In this study, a web-based system was developed, so that it is easy to use for teachers and students to recognize the personality of these students. To determine the personality of students psychologically, students answer questions in the system, then the system will classify based on the answers from these students. The C.45 decision tree algorithm serves to find knowledge or patterns of characteristic similarity in a particular group or class. From the test results, the pecision value is 90%, the recall is 85% and the accuracy is 88%. This shows that the C.45 decision tree algorithm can perform personality type classification well
Palm oil is an important export commodity in Indonesia. Quality palm oil is produced from quality oil palm plants as well. One of the factors to be able to produce quality oil palm plantations requires the right land. For this reason, land selection is an important factor. This study aims to develop a decision support system by implementing the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method for the selection of oil palm plantations. The TOPSIS method is a negative approach that is obtained by considering the shortest distance from the positive ideal solution and the farthest from the ideal solution. The system is built using a waterfall system development approach that starts from analysis, design, coding and testing. The developed system has the ability to manage alternatives, manage criteria, perform alternative calculations with TOPSIS, and display the best alternative results with TOPSIS. From the results of black-box testing, it proves that the developed system can work and run well. In addition, the results of manual calculations with the system show the same results.
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