Smart Village refers to a concept developed in rural area that provides solutions to problems occurred and improves the quality of life. The main problems faced by rural areas are cover poverty, low level of education, and limited access to technology. Smart village concept emerged due to some different characteristics between rural and urban areas. Banyuwangi Regency is one of regions that created smart concept starting from rural area, called smart kampung. So far, smart kampung only focused on public services, which included only a small part of smart city concept. Hence, this research was intended to propose the model of smart village examined through initial interview in village sample of Banyuwangi, literature reviews related to smart city, smart village, and smart rural. Then, the results were confirmed and adjusted to support local regulations. This research created a smart village model that was capable to be a guide for each village to develop towards better future. The proposed smart village model was categorized into 6 dimensions including 1) Governance, (2) Technology, (3) Resources, (4) Village Service, (5) Living, and (6) Tourism. This research is expected to be applied to villages in other Regencies by adjusting the characteristics of each region.

Kebutuhan non fungsional merupakan kebutuhan yang menggambarkan bagaimana sistem berkerja kedepannya. Dalam menentukan kebutuhan non fungsional tidaklah mudah, karena harus mengerti karakteristik dan batasan dari sistem. Terdapat beberapa permasalahan yang muncul ketika mengidentifikasikan kebutuhan non fungsional diantaranya ambiguitas, duplikasi, ketidakkonsistenan, definisi yang kurang, dan prioritas dari kebutuhan non fungsional yang kurang tepat. Oleh karena itu, diperlukannya cara untuk mengidentifikasi dan verifikasi kebutuhan non fungsional agar memudahkan dalam penentuan desain software untuk diimplementasikan oleh developer. Paper review ini melakukan analisis terhadap paper yang didapatkan dari database jurnal elektronik yaitu ScientDirect dan IEEE dengan menggunakan kata kunci “non-functional requirement”. Paper yang dianalisis dikelompokkan berdasarkan 5 tahun terakhir dan dikalsifikasikan berdasarkan jenisnya, identifikasi atau verifikasi kebutuhan non fungsional. Hasilnya adalah metode yang sesuai untuk identifikasi dan verifikasi kebutuhan non fungsional. Metode yang sesuai untuk identifikasi kebutuhan non fungsional yaitu metode yang melakukan pengumpulan data kebutuhan terlebih dahulu. Sedangkan metode yang sesuai untuk verifikasi kebutuhan non fungsional yaitu pemodelan dan verifikasi kebutuhan non fungsional.

Meningkatnya permintaan jual beli tanah kavling menjadi tantangan bagi pelanggan untuk membuat keputusan yang sesuai dengan preferensi dan kendala keuangan mereka. Selain itu, konsumen seringkali tidak memiliki cukup waktu untuk menyelidiki plot yang mereka minati sebelum mengambil keputusan pembelian. Penelitian ini akan memberikan sistem rekomendasi berdasarkan permasalahan tersebut. Penerapan metode AHP yang dipadukan dengan metode fuzzy atau yang lebih dikenal dengan Fuzzy Analytic Hierarchy Process (FAHP) digunakan untuk memberikan pilihan alternatif pada tanah kavling yang berbeda. Metode FAHP dipilih untuk menutupi kelemahan pada AHP terkait dengan permasalahan kriteria yang lebih bersifat subyektif. Parameter yang digunakan berdasarkan persil tanah meliputi harga, jenis, kondisi, fasilitas dan legalitas. Hasil pengujian metode FAHP dilakukan sebanyak 15 kali dengan berbagai kriteria penentuan bobot agar bekerja dengan baik dengan nilai akurasi 93%, presisi 100%, recall 93%, dan F1-score 96%. Berdasarkan hasil temuan, prosedur dan algoritma yang diterapkan mampu menghasilkan rekomendasi yang paling berguna untuk kemungkinan menghasilkan alternatif terbaik bagi konsumen dalam memilih alternatif tanah kavling terbaik

Choosing the most suitable day-old chick (DOC) broiler chicken supplier is currently one of the most important issues that must be addressed. This is because selecting the most suitable supplier can reduce the amount spent on purchases and the risk of sick chickens being delivered by the supplier. Another problem related to supplier selection that has been happening so far is the quality of products that are not following company standards or rejected products. The number of products provided does not match what was ordered by the company. The decision support system (DSS) can evaluate and select suppliers using multi-criteria characteristics related to the solutions offered based on parameters quality, price, delivery, supplier certificates, and death claims after the chickens have been delivered. The Analytical Hierarchy Process (AHP) and the Simple Additive Weighting (SAW) methods are used in this study as a comparison to produce the best-recommended accuracy value to get the best decision results based on ranking. The test results state that the AHP and SAW methods go well. The test was carried out using a dataset of the last ten months of history of purchasing docs broiler chicken from suppliers. The comparison of the results of the F1-score value between the AHP and SAW methods is 94% and 87%, respectively. The results state that the AHP method is superior as a system recommendation that can produce the best alternative supplier.

The idea of "smart villages" doesn't mean that all villages have the same solution. The goal of this study has two-step plan for a "smart village". First is making a model of a smart village based on a review of the literature. Second, verification of the proposed model by interviewing the respondent. In accordance with the proposed model, exploration is conducted at the stage of verification using open-ended questions. As a result of verification, each indicator receives an additional form of explanatory indicators that are matched to the case study's conditions. This is qualitative research with multiple units of analysis based on a single case study. The case study is Banyuwangi Regency. The units of analysis are Kampung Anyar Village, Kaligondo Village, Wringinrejo Village, Tambong Village, and the Department of Community and Village Empowerment. This villages that have won the smart village competition from 2016 to 2019 in Banyuwangi. The result model consists of 6 domains, 17 aspects, and 55 indicators. The domain is governance, basic village services, village resources, the economy, infrastrucutre, and tourism. All domains, aspects, and indicators can be implemented in smart village development by making technology an enabler, and there are sustainable elements.