1,720,958 research outputs found
Purwarupa Pemantauan Volume Kondisi Volume Air Galon Berbasis Internet of Things (IoT)
Sistem pemantau volume air di dalam galon sudah banyak dibuat purwarupa atau prototipenya dengan berbagai macam jenis sensor dan media transmisi pengiriman informasinya. Setiap purwarupa sistem pemantau tersebut mempunyai kelebihan dan kekurangan sendiri-sendiri. Penelitian ini bertujuan untuk memantau volume air di dalam galon dengan menggunakan sensor berat Loadcell HX711 dan menggunakan media transmisi WiFi yang tersedia NodeMCU ESP8266. Selain itu, software Android IFTTT dan aplikasi Telegram dirancang sebagai platform pemroses, pengirim data beserta antar muka dari sistem pemantau air ke dunia luar atau internet. Jika volume air terdeteksi kurang dari 1,2 kg, atau 1,2 liter, maka telegram akan menerima notifikasi dari sensor yang dipasang. Berat maksimal yang dapat diterima alat adalah 5 kg dan air yang diisi adalah 3 liter. Pengujian yang dilakukan ada dua macam, pengujian sensor dan pengujian alat. Pengujian sensor dengan beban yang beragam mendapatkan hasil error yang bervariasi dengan nilai error tertinggi 11,7%. Sedangkan rata-rata error sensor satu sebesar 4,02% untuk sensor dua sebesar 4,72%. Pada pengujian alat rata-rata error pada alat satu yaitu 0,29% sedangkan pada alat dua mendapatkan hasil error 0,46%. Berikutnya, delay atau tunda pengiriman data melalui platform IoT untuk sensor loadcell satu memiliki delay atau tunda rata-rata waktu pengiriman notifikasi ke telegram sebesar 4,045 detik dan 4,184 detik pada sensor loadcell dua. Oleh karena itu, sistem minimum NodeMCU digunakan untuk menyelesaikan masalah. Pengujian alat mendapatkan hasil yang memuaskan yaitu prototip ini dapat mendeteksi volume air dibawah 1,2 kg dan mengirimkan informasi pada telegram.Many prototypes of water volume monitoring system in gallon have been developed instead variety of sensors and transmission media for sending information. Each prototype monitoring system has its own advantage and disadvantage. This research focused on monitoring gallon volume of water by using the loadcell sensor HX711 weight sensor and using the available WiFi transmission media NodeMCU ESP8266. In addition, the IFTTT Android Software and Telegram application are designed as a processing platform, sending data and interfacing from a water monitoring system to the outside world or the internet. If the detected water volume is less than 1.2 kg or 1.2 liters, the telegram will receive notification from the installed sensor. The maximum weight that can be received by the tool is 5 kg and the water amount filled is 3 liters. There are two kinds of testing, sensor testing and tool testing. Testing sensors with various loads get variable error results with the highest error value of 11.7 %. While the average sensor error is 4.02 % for sensor two is 4.72 %. In tool testing the average error in tool one is 0.29 % while in tool two it gets 0.46 % error results. Next, the delay about sending data through the IoT platform for loadcell sensor one has an average time sending notification to the telegram of 4.045 second and 4.184 second on loadcell sensor number two. Therefore, the minimum system NodeMCU is used to solve the problem. Testing tools get satisfactory results, this prototype can detect the volume of water below 1.2 kg and send information into telegram.
Sistem Pemantauan Kualitas Air Mineral Berbasis Internet of Things
Research has been carried out regarding checking and monitoring water quality based on parameters of turbidity level and dissolved solids in the water. The aim of this research is to rank water quality based on turbidity parameters and dissolved solids in well water, spring water and packaged product water using the simple additive weighting method. The method used is to design a water quality monitoring system using a turbidity sensor and a TDS (total dissolved solid) sensor. Processing data from sensors uses a microcontroller, namely NodeMCU ESP8266. Water quality ranking is carried out using a simple additive weighting method. The results of water quality testing are displayed on the LCD and the Blynk application using Internet of Things technology. The ranking results show that water sourced from springs is of better quality compared to well water. The water quality ranking for packaged products is ranked first, namely product Y, followed by second rank, namely product X, and finally product Z
Perancangan Prototype penyiram tanaman otomatis menggunakan protokol 802.11ac jaringan Raspberry Pi 3 B+
Perancangan prototype penyiram tanaman otomatis yang memungkinkan pemanfaatanya digunakan untuk melakukan perawatan tanaman yang lebih efektif dan efisien dengan dipasangkan sensor DS18B20 sebagai sensor pengukur suhu dan sensor soil moisture sebagai sensor pengukur kelembaban tanah untuk memonitoring keadaan lingkungan sekitar saat sehingga membantu langkah-langkah perawatan yang lebih optimal
Penerapan Smart Solar Lighting Berbasis IoT untuk Peningkatan Produktivitas Bawang Merah di Desa Sidamulya Brebes
Desa Sidamulya, Kabupaten Brebes merupakan salah satu sentra produksi bawang merah terbesar di Indonesia. Namun, para petani menghadapi penurunan produktivitas akibat serangan hama pada malam hari dan keterbatasan sistem pemasaran. Penelitian ini bertujuan menerapkan teknologi Smart Solar Lighting (SSL) berbasis Internet of Things (IoT) dan energi hijau untuk mengendalikan hama serta meningkatkan hasil panen. Metode yang digunakan meliputi survei lapangan, perancangan dan instalasi SSL IoT, pelatihan petani, monitoring, dan evaluasi. Hasil penerapan menunjukkan peningkatan produktivitas sebesar 20–30% dengan kualitas panen yang lebih seragam. Dari sisi pemasaran, pendampingan digital marketing dan branding menghasilkan proyeksi peningkatan omzet kelompok tani sebesar 40–50% dalam 2–3 tahun ke depan. Temuan ini menunjukkan bahwa SSL IoT berbasis energi hijau tidak hanya ramah lingkungan, tetapi juga berkontribusi signifikan terhadap ketahanan pangan, kesejahteraan petani, serta pencapaian SDGs
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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