3) ABSTRAK Sistem penyewaan lapangan yang ada pada saat ini kebanyakan masih menggunakan metode manual. Pemesan yang ingin melakukan pemesanan lapangan futsal harus datang ke tempat futsal terlebih dahulu untuk melakukan pencarian jadwal dan pemesanan lapangan futsal. Sistem penyewaan lapangan futsal yang masih manual kurang efektif karena dapat menghabiskan banyak waktu dan tenaga. Seiring dengan perkembangan teknologi, solusi yang tepat untuk proses pemesanan lapangan futsal adalah dengan membuat sebuah aplikasi penyewaan lapangan futsal berbasis Android. Perancangan dan pembuatan aplikasi penyewaan lapangan futsal berbasis Android menggunakan model waterfall yaitu metode pengembangan perangkat lunak yang diawali dengan tahap perencanaan, analasis, perancangan, ujicoba, dan implementasi. Aplikasi ini dapat memberikan informasi terkait lapangan futsal kepada pemesan secara real-time dan berisikan fitur pencarian lapangan futsal, pemesanan lapangan futsal, dan pembayaran uang muka langsung dari aplikasi. Hasil pengujian alpha menunjukkan bahwa aplikasi penyewaan lapangan futsal berbasis android yang dibangun sudah berjalan dengan baik. Kemudian hasil pengujian beta dari hasil kuesioner menggunakan metode analisis skala likert dan berpatokan model Kaplan dan Norton menunjukkan bahwa dari 17 orang pemesan diperoleh hasil rata-rata kepuasan 4.7 yang berada pada tingkatan 'sangat puas' sedangkan dari 3 orang pemilik lapangan futsal diperoleh hasil rata-rata kepuasan 3.66 yang berada pada tingkatan 'puas'. Berdasarkan hasil pengujian alpha dan beta tersebut, dapat disimpulkan bahwa aplikasi futsal online berbasis android ini telah sesuai dan memenuhi kebutuhan pengguna baik itu pemesan atau pemilik lapangan futsal.
A server has a pivotal role that needs certain attention when the server starts up. The server has data such as important documents stored on the server computer database. One of the factors that obstacle the server performance is a room that has a high temperature or humidity. In addition, the administrator is not able to check the state of the server room frequently. The purpose of this research is to design a temperature and humidity monitoring system in a server room based wireless sensor network. The method used is wireless sensor network. This method pursues the network administrators to monitor the conditions of the temperature and humidity in the server room. The research results show that the error generated by the sensor is relatively small. The average error generated by the temperature sensor is 0.12985% and the error generated by the air humidity sensor is 0.611538%. The collected temperature and humidity data can be displayed and stored on the web application and mobile view
Populasi penduduk yang semakin berkembang menyebabkan tingginya kemacetan jalan. Kemacetan terjadi karena jumlah kendaraan yang beroperasi tidak sebanding dengan volume jalan yang tersedia. Pemerintah sebagai pelaksana pelayanan bagi masyarakat belum mampu memberikan informasi lalu lintas yang memadai. Masyarakat membutuhkan informasi kondisi lalu lintas secara realtime, otomatis dan mudah diakses menggunakan internet. Penelitian ini bertujuan untuk memberikan informasi jumlah kendaraan dengan konsep internet of things menggunakan javascript detection library. Penelitian ini terdiri dari beberapa tahapan penelitian antara lain: survei & identifikasi, analisis data, training data, dan pengembangan aplikasi menggunakan javascript framework library. Hasil yang didapatkan adalah aplikasi mampu mendeteksi citra kendaraan berdasarkan xml training dari Matlab sebesar 95%.
Arrihu Archery is one of the archery clubs in the city of Mataram. Before taking the test to increase the level, participants will take part in the stabilization exercise in preparation for the exam. The problem faced was that the exercise carried out took a long time and the trainers had difficulty in monitoring the progress of the participants. This writing aims to accelerate the exercise and make it easier to monitor the training of participants. Therefore, it is necessary to build an Application to Evaluate the Development of Archery Athlete Exercises using Progressive Web Application. The design of this system is done by the waterfall methodology, which is a system development method that begins with planning, system design, making Web Service APIs, and creating Service Workers in the Progressive Web App application. The results that have been achieved in this study are the creation of applications to assist the stabilization training process and assist in monitoring the progress of trainees. This application is able to cache and be able to display pages offline. This application runs well on the google chrome browser version 43+
In the era of public information disclosure, the need for public relations performance that is fast and transparent is needed in all sectors of the company, including the scope of the Provincial Government of Nusa Tenggara. The role and function of human resources and public relations institutions of the NTB provincial government have become strategic in the context of fulfilling educational information. The purpose of this study is to manage issues and public trust using information technology in West Nusa Tenggara. Management of the issue is carried out using a management mechanism called Media Control and Cooperation (MCC) and 2 (three) applications based on artificial intelligence, namely: Data & Public Information Services (DPIS) and Government Social Media Handling (GSMH). Based on studies that have been done, it can be informed that overall PRCC NTB Public Relations succeeded in gathering valid issues 22 to 24 or 91 percent.
People can write to the government about what they want through social media in the freedom of information era. Especially in the Covid-19 pandemic, the public's desire for government attention is getting higher. The purpose of this activity is to collect community needs at the beginning of the pandemic. The period of information retrieval is from March 30 to April 5, 2020. The activity uses the crawling method, which is gathering information with browser tools. The implementation stage starts from taking information with selenium, identifying posts and comments with Html tags, calculating the emergence of issues with N-gram NLP, and analyzing sentiment with Naive Bayes and Support-Vector Machine. The results showed that the community did not have panic to need foods with a total reaction of 172. The community was more worried about the spread of outbreaks from outside NTB with a reaction of 1,421.
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