Based on the Law of the Republic of Indonesia number 6/2016 regarding villages, it is said that regional governments are obliged to develop village information systems in implementing e-government towards good governance. In Indonesia, e-government continues to increase in number, but it is not accompanied by quality, including the Kemiriamba Village website. This study was aimed to measure the quality of the Kemiriamba Village website using the Webqual 4.0 method and Importance Performance Analysis (IPA) with 4 (four) instruments, namely Usability Quality, Information Quality, Service Interaction Quality and Visual Quality. This study is descriptive with a quantitative approach. The questionnaire data were 132 and were processed with SPSS software. The results of the analysis and measurement stated that the suitability level of the Kemiriamba Village website was 96.63%, and the average value of the gap was negative, which was -0.11, which meant that the performance level of the Kemiriamba Village website still did not meet user satisfaction and expectations, especially in Service Interaction Quality. The main priority that needs to be corrected and improved immediately is the website attribute; it should have a good reputation. Moreover, the questions, suggestions and complaints need to be processed as promised. The results of this study suggested the Kemiriamba Village website to immediately make improvements and development in order to become a qualified website towards good governance.

The lack of knowledge about dental health and the still limited awareness of the community about dental health, makes some of our community set aside in efforts to prevent or treat dental disease. So we need a system or application that can help people to find out about dental diseases, as well as solutions to overcome these problems. This expert system knowledge base is formed by the if-then rules. The inference method used is forward chaining. This dental disease expert system is based on Android so it can be used anytime and anywhere by the community. Based on the acquisition of expert knowledge obtained 12 rules, 12 diseases, 25 symptoms. Blackbox test results show the application features that are made to run with a fairly good level of success. Unit test results indicate that the application has succeeded in making inferences properly and correctly, in accordance with applicable rules.Keywords: Dental disease, forward chaining, android, expert systemAbstrakMinimnya pengetahuan kesehatan gigi dan masih terbatasnya  kesadaran masyarakat tentang kesehatan gigi, membuat sebagian masyarakat kita mengesampingkan dalam upaya mencegah atau mengobati penyakit gigi. Maka diperlukan suatu sistem atau aplikasi yang dapat membantu masyarakat untuk mengetahui tentang penyakit gigi, serta solusi untuk mengatasi permasalahan tersebut. Basis pengetahuan sistem pakar ini dibentuk dengan aturan if-then. Metode inferensi yang digunakan adalah forward chaining. Sistem pakar penyakit gigi ini dibuat berbasis android agar bisa digunakan kapan saja dan dimana saja oleh masyarakat. Berdasarkan akusisi pengetahuan pakar didapat 12 aturan, 12 penyakit, 25 gejala. Hasil uji blackbox menunjukan fitur-fitur aplikasi yang dibuat berjalan dengan tingkat berhasilan yang cukup baik. Hasil pengujian unit menunjukkan bahwa aplikasi telah berhasil melakukan inferensi dengan baik dan benar, sesuai kaidah yang berlaku. Kata kunci : Penyakit gigi, forward chaining, android, sistem pakar

Hotel service website is currently growing very rapidly, along with the development of tourism worldwide. The progress of world-class tourism is influenced by the provision of the international class accommodation. Selecting hotels considers generally expensive facilities, services and other supporting infrastructure. Currently the hotel booking service providers already provide facilities for tourists to write reviews and experiences of staying in the hotel room for other travel recommendations. With so many reviews displayed, it is necessary to perform a classification analysis of the review into a positive or negative grade. The method used for sentiment analysis of the hotel review is Naive Bayes Algorithm and Particle Swarm Optimization, This research examined data from sentiment hotel reviews on several hotel booking websites of 100 positive reviews and 100 negative reviews. The resulting combining Naive Bayes with Particle Swarm Optimization and obtains the best value with accuracy of 85.00%.

Azidan Collection distributions have several shortcomings in order to support the process of selling goods. The current sales are only limited to consumers coming directly to the store selecting goods and paying, to promote products that are on Azidan distributions to consumers already using social media including through BBM and Facebook friendship media media. Sales using social media systems are still lacking, because customer coverage is only limited to using social media, so sales transactions are limited. The Sales Website on the Azidan Collection Distro which has functions, among others. Build an e-commerce application to help management of the Azidan Collection in making long-distance transactions. Building an e-commerce transaction application to help consumers make a T-shirt purchase on the Azidan Collection Distro. This information system is equipped with facilities that can facilitate customers in making payment transactions through account transfers.Abstrak -Distro Azidan Collection mempunyai beberapa kekurangan dalam rangka menunjang proses penjualan barang. Penjualan yang saat ini dilakukan hanya sebatas konsumen datang langsung ke toko memilih barang dan membayar, untuk mempromosikan produk yang ada di Distro Azidan ke konsumen sudah menggunakan media sosial di antaranya melalui BBM dan media situs pertemanan facebook. Penjualan dengan menggunakan sistem media sosial dirasa masih kurang, karena cakupan customer hanya sebatas yang menggunakan media sosial saja, sehingga transaksi penjualan menjadi terbatas. Website Penjualan pada Distro Azidan Collection yang memiliki fungsi antara lain. Membangun aplikasi e-commerce untuk membantu manajemen Distro Azidan Collection dalam melakukan transaksi jarak jauh. Membangun aplikasi transaksi e-commerce untuk membantu dan memberi wawasan pada konsumen dalam melakukan pembelian Kaos di Distro Azidan Collection. Sistem informasi ini dilengkapi dengan fasilitas yang mampu mempermudah customer dalam melakukan transaksi pembayaran yang melalu transfer rekening.

Restructuring of fish meat can be done by using fragments of by-product processing such as fillet, loin, and steak of yellowfin tuna. The binder agent that may be the most efficiently used in restructuring the product is microbial transglutaminase (MTGase). Salt is needed to optimize the binding process of the restructuring product. The objective of the study was to determine the effect of low salt MTGase concentration as a binding agent on the quality of restructured yellowfin tuna steak compared to commercial yellowfin tuna steak. Research was designed with completely randomized design using 5 treatments in the 1.5% salt concentration, namely 0%, 0.3%, 0.5%, 0.7%, and 0.9%. The analyzed parameters were proximate (water content, protein, fat, carbohydrate, and ash), texture, colour and water holding capacity. The sensory test was conducted to compare restructured products with commercial tuna steak. The results indicated that the best treatment to the addition of MTGase was 0.5% based on the physical properties of the product, the nutritional content and sensory test. In sensory, MTGase was able to maintain the colour (brightness) of the products as they were darker than the commercial tuna steak and improve the product’s texture (hardness) in the addition of 0.9% MTGase.