Sistem rekomendasi saat ini sedang menjadi tren. Kebiasaan masyarakat yang saat ini lebih mengandalkan transaksi secara online dengan berbagai alasan pribadi. Sistem rekomendasi menawarkan cara yang lebih mudah dan cepat sehingga pengguna tidak perlu meluangkan waktu terlalu banyak untuk menemukan barang yang diinginkan. Persaingan antar pelaku bisnis pun berubah sehingga harus mengubah pendekatan agar bisa menjangkau calon pelanggan. Oleh karena itu dibutuhkan sebuah sistem yang dapat menunjang hal tersebut. Maka dalam penelitian ini, penulis membangun sistem rekomendasi produk menggunakan metode Content-Based Filtering dan Term Frequency Inverse Document Frequency (TF-IDF) dari model Information Retrieval (IR). Untuk memperoleh hasil yang efisien dan sesuai dengan kebutuhan solusi dalam meningkatkan Customer Relationship Management (CRM). Sistem rekomendasi dibangun dan diterapkan sebagai solusi agar dapat meningkatkan brand awareness pelanggan dan meminimalisir terjadinya gagal transaksi di karenakan kurang nya informasi yang dapat disampaikan secara langsung atau offline. Data yang digunakan terdiri dari 258 kode produk produk yang yang masing-masing memiliki delapan kategori dan 33 kata kunci pembentuk sesuai dengan product knowledge perusahaan. Hasil perhitungan TF-IDF menunjukkan nilai bobot 13,854 saat menampilkan rekomendasi produk terbaik pertama, dan memiliki keakuratan sebesar 96,5% dalam memberikan rekomendasi pena.

Abstract. The number of vehicles in Indonesia based on BPS data in 1987 amounted to 7.98148 million units to 104 118 969 units in 2013. An increase in the number of vehicles by 1304.51% is dominated by a motorcycle which was originally 5,554,305 units to 84,732,652 units. A large number of vehicles adds to problems of traffic regulation on the road. Internet of Things (IoT) can be used as the vehicle detection control device so as to create solutions Green Economic Development City Smart Transportation System that is good in handling motor vehicle. IoT sensor devices produced can identify the vehicles through model of information system connected with the detection system of motor vehicle license plate identification by means of sensors and data are stored in a digital chip which is mounted on any motor vehicle. With the chip of these vehicles will be produced a Green Economic Development City Smart Transportation System for the development of cities, especially in Narotama.

The rejection on ratification of the revision of Indonesian Code Law or known as RKUHP and Corruption Law raises several opinions from various perspectives in social media. Twitter as one of many platforms affected, has more than 19.5 million users in Indonesia. Twitter is one of many social media in Indonesia where people can share their views, arguments, information, and opinions from all points of view. Since Twitter has a great diversity of users, it needs a system which is designed to determine the opinion tendency towards the problems or objects. The purpose of this study is to analyze the sentiment of Twitter users' tweets to reject the revision of the Law whether they have positive or negative sentiments using the Agglomerative Hierarchical Clustering method. The data that being used in this study were obtained from the results of crawling tweets based on hashtag (#) (#ReformasiDikorupsi). The next stage is pre-processing which consists of case folding, tokenizing, cleansing, sanitizing, and stemming. The extraction features Opinion words and Term Frequency (TF) which performs the process automatically. In the clustering stage, two clusters use three approaches; single linkage, complete linkage and average linkage. In the accuracy calculation phase, the writer uses the error ratio, confusion matrix, and silhouette coefficient. Therefore, the results are quite good. From 2408 tweets, the highest accuracy results are 61.6%.

Organisasi Perangkat Daerah (OPD) maupun Satuan Kerja Perangkat Daerah (SKPD) berkaitan erat dengan pelayanan publik yang berada di kota Surabaya, kompleksitas pelayanan publik yang di kelolah pada masing-masing OPD/SKPD sering kali menimbulkan beberapa kendala jaringan dan web server. untuk itu diperlukan pengelolahan infrastruktur, yang dapat mencegah terjadinya permasalahan jaringan maupun web server yang terjadi pada OPD/SKPD. Tujuan penelitian menghasilkan sistem monitoring trafik jaringan dan webserver secara realtime dengan notifikasi telegram, untuk mencegah terjadinya kendala serta mempercepat proses penanganan kendala layanan publik pada OPD/SKPD. Penelitian ini menghasilkan system monitoring trafik jaringan dengan antar muka app mobile dan website. antarmuka app mobile dapat digunakan pengguna pada saat berada di lapangan, sedangkan antarmuka website dapat digunakan pengguna pada saat berada di lingkungan kantor. Pengujian sistem monitoring dilakukan terhadap 10 OPD/SKPD yang berada di Surabaya serta 2 web server demo yang memberikan notifikasi berupa UP maupun Down secara real time menggunakan notifikasi telegram. Serta notifikasi juga melalui website dengan menampilkan history jaringan maupun web server.

As an administrative area under the Sub-District, Kelurahan Dampit does not yet have an information system and information technology that supports its activities, such as technical administration for all activities inside Kelurahan Dampit, reporting and monitoring of monitoring of community activities, administration of correspondence, population registration, inventory of problems related to community services, manufacturing report on the implementation of duties and filing. Therefore, it is necessary to plan an enterprise architecture to increase the effectiveness of work in public services, reporting, monitoring and managing the internal functions of the Kelurahan. This study discusses the planning of enterprise architecture in Kelurahan Dampit using the TOGAF (The Open Group Architecture Framework) framework with the ADM (Architecture Development Method) method as a method used for guidance or tools to plan, design, develop and implement information system architecture. This enterprise architecture planning will produce a business architecture blueprint that describes business processes, an application architecture that describes application design and interactions with other related applications, a data architecture that describes data storage, management and access, a technology architecture that describes the supporting hardware and software application infrastructure as well as the roadmap for implementing the application for Kelurahan Dampit.