<p>Manajemen kinerja merupakan proses yang dilakukan oleh perusahaan untuk menilai kinerja dari karyawan, sehingga karyawan dengan kinerja terbaik akan mendapatkan promosi jabatan. Selama ini divisi IT pada Cudo Communications dalam mengelola data karyawan masih belum maksimal, sehingga menimbulkan masalah dalam menilai kinerja karyawan. Tujuan penelitian ini adalah mencari alternatif terbaik dan metode terbaik antara metode <em>Entropy</em>-SAW dan metode <em>Entropy</em>-WASPAS untuk penilaian kinerja karyawan. Metode <em>Entropy</em> digunakan untuk menghitung bobot <em>entropy</em> akhir pada setiap kriteria. Metode yang digunakan untuk mencari alternatif terbaik adalah metode SAW dan WASPAS. Dalam perhitungan metode <em>Entropy</em>, terlebih dahulu harus menentukan kriteria dan bobot awal pada tiap kriteria.<em> </em>Adapun kriteria yang digunakan adalah kehadiran, <em>task</em>, dan <em>assessment</em>. Metode <em>Simple Additive Weighting</em> (SAW) dan metode <em>Weighted Aggregated Sum Product Assessment</em> (WASPAS) untuk menentukan karyawan dengan kinerja terbaik. Data karyawan yang ikut proses <em>assessment</em> diperoleh dari persentase kehadiran yang 80% atau lebih. Oleh karena itu sebanyak 6 orang yang lanjut ke tahap <em>assessment </em>yaitu Muhammad Ridwan, Dirly Try Andhika, Keysa Dwilingga, Kelvin Dylan Hensen, Nesya Ayu Wulandari, dan Yusuf Rizqi Ramanka. Hasil metode <em>Entropy</em>-SAW dan <em>Entropy</em>-WASPAS bahwa alternatif ke-2 (  memiliki nilai tertinggi daripada alternatif lain, sebesar 0,860 untuk metode <em>Entropy</em>-SAW dan sebesar 0,851 untuk metode <em>Entropy</em>-WASPAS. Adapun alternatif (  adalah karyawan bernama Dirly Try Andhika. Karena itu, Dirly Try Andhika yang layak untuk memdapatkan usulan promosi jabatan. Metode yang tepat untuk dijadikan sebagai bahan pertimbangan dalam pengambilan keputusan yaitu metode <em>Entropy</em>-SAW, karena nilai dari tiap alternatif yang diperoleh lebih besar daripada nilai dari tiap alternatif pada metode <em>Entropy</em>-WASPAS.</p><p><em><strong>Abstract</strong></em></p><p class="Abstract"><em>Performance management is a process undertaken by the company to assess the performance of employees so that employees with the best performance will get the promotion of the position. During this time the IT division of Cudo Communications in managing employee data is still not maximal, causing problems in assessing employee performance. The purpose of this research is to find the best alternatives and the best method between the Entropy-SAW method and the Entropy-WASPAS method for employee performance assessment. The Entropy method is used to calculate the final Entropy weight of each criterion. The methods used to find the best alternatives are the SAW and WASPAS methods. In calculating the Entropy method, it must first determine the criteria and the initial weight of each criterion. The criteria used are attendance, task, and assessment. Simple Additive Weighting (SAW) method and the Weighted Aggregated Sum Product Assessment (WASPAS) method to determine the best-performing employees. Employee Data that participates in the assessment process is obtained from the percentage of attendance 80% or more. Therefore, 6 people who continued to the assessment stage namely Muhammad Ridwan, Dirly Try Andhika, Keysa Dwilingga, Kelvin Dylan Hensen, Nesya Ayu Wulandari, and Yusuf Rizqi Ramanka. The results of the Entropy-SAW and Entropy-WASPAS methods that the 2nd alternative ( ) have the highest value than the other alternatives, amounting to 0.860 for the Entropy-SAW method and at 0.851 for the Entropy-WASPAS method. The alternative ( ) is an employee named Dirly Try Andhika. Therefore, Dirly Try Andhika deserves to get the promotion proposal. The right method to serve as a consideration in decision making is the Entropy-SAW method because the value of each alternative obtained greater than the value of each alternative in the method Entropy-WASPAS.</em></p><p><em><strong><br /></strong></em></p>

The current practice of drug inspection is usually carried out at school or university. This procedure, however, is not effective and efficient, as the urine samples are taken randomly. In many cases, the drug-taking student is not present or evades the urine or hair inspection. A predictive drug user tool is needed, where only suspected student drug users are selected for a urine test. In general, drug abuse constantly causes terrible damage to the skin lesions Since they damage the skin during hallucinations due to the effects of drugs. The Grey Level of Occurrence Matrix (GLCM) is used in this study to discover the scratch pattern. Our proposed GLCM is evaluated with 104 images collected from the Internet. Training data is generated from 88 images of people before and after the drug was collected from the Internet, and we set 16 image faces to test the prediction.  The experiment shows that the prediction based on GLCM has better accuracy (81%) compared with the local binary pattern (LBP) which only reach up to 75%.

Universitas Mercu Buana telah memiliki 6 fakultas dan 16 program studi, salah satunya adalah program studi Sistem Informasi. Program Studi Sistem Informasi berdiri pada tahun 2004, dengan jumlah mahasiswa sekitar 32 orang. Dalam proses pemilihan ketua HIMA, program studi Sistem Informasi masih melakukan kegiatan pemilihan dengan cara mendatangi tempat pemungutan suara. Hal ini menjadi kurang efektif mengingat banyak sekali mahasiswa yang akan ikut serta dalam pemilihan Ketua HIMA. Dalam perancangan Sistem Pemilihan Ketua Himpunan Mahasiswa (HIMA), menggunakan Metode Rekayasa Perangkat Lunak yaitu Waterfall sampai dengan tahapan Perancangan. Adapun Pemodelan Sistem yang digunakan adalah Unified Modelling System (UML) dengan diagramnya antara lain Use Case Diagram serta perancangan Database menggunakan Class Diagram

Animal cages (shelters) and animal hospitals still receive less attention from some people, and also lack of information and education about the number of animals (shelters) and animal hospitals, animal shelters have a noble mission for abandoned or abandoned animals by their owners. as well as hospitals where people can bring their pets for treatment while keeping their pets so that we as owners know what our animals are suffering from at that time and also to avoid diseases that can harm us as owners. Geographic Information System (GIS) has the ability to present information in graphic form using a map as an interface, so that it can be used as a presentation of information related to animal shelters. where the public can obtain data and information about animal shelters for personal and organizational or agency needs. The development researcher uses the haversine algorithm to be used as a search for the closest distance between the user and the location of the animal's house, as well as the Euclidian distance as a comparison to find the appropriate distance accuracy. From the results of these calculation it can be concluded that haversine and google maps this method has an accuracy level that is almost close to accurate with a percentage value of 99.88% with manual calculationsKeywords: website, haversine, euclidian, animal shelter

Makalah ini merupakan hasil laporan Foreign Case Study untuk syarat publikasi ilmiah di Sekolah Tinggi Pariwasata Ambarrukmo Yogyakarta dengan Judul Damnoen Saudak Floating Market Sebagai Obyek Wisata Populer di Bangkok Thailand.