Analisis sentimen merupakan suatu teknik idetifikasi terhadap emosi yangdiekspresikan melalui teks. Tujuan analisis sentimen adalah menentukan apakah suatupendapat dalam kalimat atau dokumen termasuk kategori positif ataunegatif. Twitter merupakan salah satu media sosial yang sering digunakan dalammenyampaikan pendapat. Twitter memungkinkan penggunanya (user) untuk menulispendapat mereka mengenai berbagai topik dalam sebuah tweet. Data twitter dalampenelitian ini didownload melalui twitter Application Programming Interface (API).Data twitter tersebut terdiri dari 500 tweet tentang pariwisata Lombok dengan hashtag#lombok dan #woderfullombok. Fitur informasi dari setiap tweet diseleksimenggunakan metode Mutual Information dan dianalisis menggunakan modelklasifikasi Naïve Bayes (Naïve Bayes Classifier). Hasil pengujian klasifikasisentimen twitter pada kategori positif dan negatif menggunakan 10-fold crossvalidation memperoleh akurasi rata-rata sebesar 97,9%.Kata kunci : Analisis Sentimen, Twitter, Naïve Bayes Classifier, Mutual Information
We propose an optimization algorithm for reducing execution time needed by multiple pursuers in solving a variant of the Multiple-Pursuer Multiple-Evader (MPME) problem where each evader tries to attack an area defended by pursuers. This problem is a variant of the Multi-Agent Pursuit Evasion problem. In our discussed problem, a group of pursuers tries to defend an area from a group of evaders' attacks. The main task given in this problem is how pursuers can capture or immobilize as soon as possible any evader trying to get closer to the defended area (evaders' target). We use Social Spider Optimization (SSO) algorithm as the basis of our proposed method. In SSO, there are female spiders, dominant-male spiders, and non-dominant-male spiders collaborating to catch their prey. In SSO, there are three main procedures usually exist: calculation of fitness value, the vibrational summons of surrounding spiders, and mating procedure. In this paper, we develop an enhanced SSO algorithm where excludes the mating procedure and propose a practical calculation process for solving our discussed problem. SSO is one of the recent optimization algorithms developed in the computer science field. Developing this algorithm for solving dynamic problem like the MPME variant surely brings a novelty in the computer science research area. We test our proposed method in a 3D simulation environment where we manifest all pursuers and evaders as drones. Based on our experiment result, our algorithm performs better than commonly used methods for solving the MPME problem.
Asthma attack was one of the disease having symptoms of nearly the same each other. So that it can be grouped into some of symptoms by sub this shows a tendency to each. This is in accordance with the application of a method of WP and TOPSIS that is used in diagnose an asthma attack. Not widely used method of WP or TOPSIS in diagnose asthma attack because Commonly used in the support system decision so as to give diagnose that is less valid. In this research, the WP-TOPSIS method was combined by utilizing the advantages of each method in providing output and fix by computation from a method of WP-TOPSIS with a disregard a couple of things as the value of the cost of which is not possessed expert system. So it expected to results from output better. By using 40 data of experiment to the 2 people experts obtained the results of the level of accuracy of the average namely WP 21,25%, TOPSIS 21,25% and combined WP-TOPSIS 65%. Obtained increase in extent accuracy namely 43,75 %, Thus methods combined better than WP and TOPSIS in its use in expert system diagnose asthma attack.
SD Negeri 1 Terong Tawah merupakan sebuah Sekolah Dasar yang memiliki akreditasi A dan telah menerapkan kurikulum 2013 (K-13), Sekolah Dasar tersebut menurut data yang tercatat pada data Kemendikbud memiliki 10 Guru, 136 siswa laki-laki, 102 siswa perempuan 6 ruang kelas 1 perpustakaan dan masih belum memiliki akses internet. Seiring dengan penerapan belajar dari rumah pada masa Pandemi Covid-19, SDN 1 Terong Tawah belum menerapkan pembelajaran berbasis e-learning, Saat ini pembelajaran berbasis e-learning memiliki berbagai macam bentuk, seperti dapat melalui media website yang didaftarkan oleh sekolah ke-penyedia domain atau bekerjasama dengan mitra, namun yang dalam hal ini memerlukan kebijakan khusus dalam proses implementasinya dikarenakan diperlukan biaya yang khusus dalam pengelolaan dan perawatannya atau proses instalasi aplikasinya. Selain hal tersebut para Guru SD Negeri 1 Terong Tawah dan Staff akademik belum terbiasa dalam pembelajaran secara daring, dikarenakan dalam hal ini para guru dituntut untuk dapat mengelola konten kreatif agar media pembelajaran berbasis online yang diterapkan dapat mudah dipahami dan menarik digunakan, dan tidak kalah penting aplikasi digunakan dimana harus dapat menjawab permasalahan, dimana setiap peserta didik yang tidak semua memiliki perangkat smartphone. setelah dilakukan pengabdian para Guru SD Negeri 1 Terong Tawah merasa kegiatan ini sangat diperlukan dalam proses pembelajaran pada siswa, dan dapat dijadikan alternatif dalam menjawab persoalan dimana siswa-siswi tidak semua memiliki perangkat smartphone, dari 12 peserta yang mengikuti pelatihan ini yang terdiri dari 3 poin penilaian, kurang bermanfaat, cukup bermanfaat dan sangat bermanfaat, seluruh peserta atau 100% menyatakan kegiatan ini sangat bermanfaat, serta keseluruhan Guru SD yang dilatih mengharapkan pelatihan serupa dilaksanakan kembali untuk meningkatkan pemahaman penggunaan media online.
This paper presents a Satisfaction Information Systems of Academic Administration Services which is a tool to provide quality assessment of Academic Administration Services of Engineering Faculty, Mataram University. The quality assessment is determined by Importance Performance Analysis (IPA) method of survey data. This information system is designed and built by using CodeIgniter framework with PHP and HTML. The experimental results show that the proposed system has been running properly, which are indicated by a “fairly satisfied†achievement of Academic Administration Services of Engineering Faculty, Civil, Electrical, Mechanical and Informatics Engineering Dept. Based on MOS parameter on students (MOS = 4.45) and admin (MOS = 4.00), show that the system has been running properly.
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