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SOLUSI KOMUNIKASI BERTENAGA MATAHARI lande, nelly malik
Jurnal Sains dan Teknologi Indonesia Vol. 10 No. 3 (2008)
Publisher : Badan Pengkajian dan Penerapan Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (72.822 KB) | DOI: 10.29122/jsti.v10i3.807

Abstract

Indonesia is a country that contains by some large islands and thousand small islands. It means a communication very important. Increasing in the market demand, especially communication serves make some vendor to produce aninstrument called Base Transceiver Station (BTS). BTS is very important in network telecommunication because it connect telecommunication operator with its costumers. But the problem to operate BTS in far region is electrical power supply. For handling its problem is by using BTS with SESF, or often called Pembangkit Listrik Tenaga Surya Fotovoltaik (PLTS Photovoltaic), where it claimed need less energy. Because it took a lot cost for photovoltaic instrument, this paper will descript how to design hybrid system, a union of photovoltaic and diesel.
Identifying Key Features in Yelp Data for Success in Different Types of Restaurants Priyadi, Andrianshah; Lande, Nelly Malik; Faradilla, Anita; Hasan, Ma’arif; Widianti, Evi
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 9 No 1 (2025): February 2025
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/intensif.v9i1.23476

Abstract

Background: The purpose of this research is to measure of customer satisfaction for newly established independent restaurants and, consequently, good predictors of independent restaurant success. Urban communities face several challenges, including how to best use scarce resources like real estate and support small enterprises. Smart businesses are essential to the development of smart cities because they use data analytics to inform their strategic planning and design choices, and the target of this topic is restaurant. Objective: Restaurants control a sizable portion of the city market's small business sector. As part of the Yelp Data Challenge, Yelp just made available an open dataset that includes important details, ratings, and Yelp scores for every restaurant in different cities. Methods: Our methodology utilizes a vector of crucial factors to accurately forecast a business’s prospective success and exclusively evaluate eateries located inside the city limits of Las Vegas. The dependent variables will consist of the mean Yelp ratings for each restaurant and constructed our model by following the subsequent stages. Conclusion: The findings of this research is corroborated by the discovery that the statistically significant properties of restaurants, shown by a low p-value, varied across various restaurant categories, the unique modeling technique to forecast future restaurants' Yelp rankings based on their design choices. This will assist owners of restaurants in making better design choices, which will result in more prosperous small enterprises in urban settings.