1,720,964 research outputs found
Internet-Based Flood Detection System (Iot) and Telegram Messenger Using Mcu Node and Water Level Sensor
Full text linkDuring the rainy season, several regions in Indonesia experienced floods even to the capital of Indonesia also flooded. Some of the causes are the high intensity of continuous rain, clogged or non-smooth drainage, high tides to accommodate the flow of water from rivers, other causes such as forest destruction, shallow and full of garbage and other causes. Every flood disaster comes, often harming the residents who experience it. The late anticipation from the community and the absence of an early warning system or information that indicates that there will be a flood so that the community is not prepared to face floods that cause a lot of losses. Therefore it is necessary to have a detection system to provide early warning if floods will occur, this is very important to prevent material losses from flooded residents. From this problem the researchers designed an internet-based flood detection System of Things (IoT). This tool can later be controlled via a smartphone remotely and can send messages Telegram messenger to citizens if the detector detects a flood will occur.Keywords: Flooding, Smartphone, Telegram messenger, Internet of Thing (IoT)
Sistem Pakar Diagnosa Penyakit Kulit Menggunakan Metode Forward dan Backward Chaining
No full textPenyakit kulit merupakan masalah kesehatan yang sangat sering dialami oleh banyak orang di kalangan masyarakat umum. Terkadang dengan adanya gejala penyakit kulit membuat kekhawatiran kepada penderita penyakit tersebut. Sehingga harus pergi ke rumah sakit untuk melakukan konsultasi dengan dokter spesialis yang tentunya akan memakan waktu dan biaya. Untuk dapat mengetahui masyarakat dalam mendapatkan informasi tentang penyakitnya secara dini maka Penulis di sini memanfaatkan kecanggihan teknologi di zaman modern ini dengan menciptakan aplikasi sistem pakar menggunakan metode forward dan backward chaining untuk mendiagnosis penyakit kulit yang memiliki banyak penyakit yaitu penyakit dan gejala sebanyak 9 penyakit dan 25 gejala yang diambil di RSUD LANGSA. Aplikasi ini dibuat dengan Bahasa pemrograman php dan MySQL untuk membuat aplikasi sistem pakar berbasis web agar mudah di gunakan setiap orang. Sistem ini sudah dipakai oleh 30 pasien di RSUD LANGSA dengan hasil diagnosa scabies berjumlah 3, dermatitis 10, tinea corporis 7, MR 3, DKA 5 dan LSC 1 dan urtikaria berjumlah 1 yang memiliki keberhasilan 46 % sesuai dengan hasil dokter artinya ada 16 orang yang tidak sesuai dan 14 pasien sesuai
PENERAPAN TEKNOLOGI PEMBERIAN PAKAN IKAN OTOMATIS BERBASIS INTERNET OF THINGS DALAM UPAYA PENINGKATAN HASIL PANEN IKAN LELE
Full text linkAbstrak: Pentingnya memberi makan ikan secara teratur dan tepat waktu merupakan salah satu keberhasilan dalam meningkatkan produktivitas hasil panen ikan lele. Namun jika hal tersebut tidak diperhatikan maka akan muncul masalah seperti ikan mati dan menjadi kanibal sehingga hasil panen tidak maksimal. Untuk mengatasi permasalahan tersebut tim pengabdian bertujuan membuat alat pakan ikan otomatis berbasis Internet of Things (IoT) sehingga adanya alat ini akan memberi makan ikan secara otomatis dengan jumlah dan waktu yang tepat. Metode pelaksanaan yang dilakukan yaitu sosialisasi dan pelatihan cara pembuatan alat pakan ikan otomatis, hasil dari pengabdian ini yaitu adanya alat pakan ikan otomatis membantu pekerjaan kelompok dan mendapatkan pengetahuan cara membuatnya. Mitra dalam pengabdian ini yaitu kelompok budidaya ikan tiara jaya yang beralamat di dusun lam kuta, Gampong bayeun, Kecamatan birem bayeun, Kabupaten Aceh Timur, Provinsi Aceh, jaraknya 17 km dari Universitas Samudra dengan jumlah anggota kelompok sebanyak 25 orangdalam kegiatan tersebut tim PKM terus mendampingi dan akan mengevaluasi dalam dua minggu setelah kegiatan melalui komunikasi via Handphone apabila ada terjadi masalah. Hasil yang telah dicapai dalam PKM ini yaitu pada awal pra kegiatan dilakukan penilaian pengetahuan sebesar 45,6 % dan setelah pasca kegiatam meningkat menjadi 62%.Abstract: The importance of feeding fish regularly and on time is one of the successes in increasing the productivity of catfish yields. However, if this is not considered, problems such as fish die and become cannibals so that the harvest is not optimal. To overcome this problem, the service team aims to create an Internet of Things (IoT) based automatic fish feed tool so that this tool will feed fish automatically with the right amount and time. The implementation method carried out is socialization and training on how to make automatic fish feed tools, the result of this service is the existence of automatic fish feed tools to help group work and gain knowledge on how to make them. Partners in this service are the Tiara Jaya fish cultivation group which is located at Lam Kuta Hamlet, Gampong Bayeun, Birem Bayeun District, East Aceh Regency, Aceh Province, 17 km away from Samudra University with a total of 25 group members, in this activity the PKM team continue to assist and will evaluate within two weeks after the activity through communication via cellphone if there is a problem. The results that have been achieved in this PKM are at the beginning of the pre-activity knowledge assessment of 45.6% and after post-activity it increases to 62%
Visualisasi Serta Efektifitas Colour Clustering dengan K-Means dan Bee Algorithm
Full text linkKlasterisasi citra digital merupakan dasar utama dalam analisis citra dan pengenalan pola yang dimungkinkan dalam proses segmentasi objek dalam gambar secara otomatis berdasarkan kemiripan warna, tekstur, atau intensitas. Klasterisasi umumnya dilakukan dengan algoritma K-Means karena kemampuannya yang sederhana dan efisien dalam mengelompokkan data, namun memiliki kelemahan seperti ketergantungan pada inisialisasi awal dan mudah terjebak pada solusi lokal, sedangkan Bee Algorithm menawarkan pendekatan optimasi yang lebih adaptif dan eksploratif sehingga dapat menghasilkan hasil klaster yang lebih optimal. Penelitian ini bertujuan untuk membandingkan kinerja algoritma K-Means dan Bee Algorithm (BA) dalam proses klasterisasi warna pada citra digital. Evaluasi dilakukan berdasarkan dua indikator utama, yaitu total jarak antar piksel ke pusat klaster dan sebaran kuantitas warna pada masing-masing klaster. Hasil eksperimen menunjukkan bahwa BA menghasilkan nilai jarak total yang lebih kecil dibandingkan K-Means pada semua jumlah klaster yang diuji. Nilai jarak yang lebih kecil menunjukkan bahwa BA mampu menemukan pusat klaster yang lebih optimal. Selain itu, distribusi kuantitas warna pada klaster hasil BA tampak lebih seimbang dibandingkan K-Means. Hal ini menunjukkan bahwa BA dapat memisahkan warna-warna dominan dengan lebih akurat. Berdasarkan hasil analisis dari gambar segmentasi dengan 2, 4, 8, dan 16 kluster, terlihat bahwa metode Bee Algorithm (BA) secara konsisten menghasilkan segmentasi warna yang lebih halus dan mendekati tampilan asli objek dibandingkan dengan metode K-Means. Dengan peningkatan jumlah kluster, kedua metode memang mengalami peningkatan kualitas visual, namun BA lebih unggul dalam mempertahankan detail halus seperti tekstur bulu dan gradasi warna alami. Sementara itu, K-Means cenderung menghasilkan pembagian warna yang lebih kaku dan berbentuk blok, yang mengurangi kealamian visual terutama pada jumlah kluster yang rendah
Decision Support System Recommendations of Half and Full Subsidized KPR Houses
Full text linkThe house is a primary need for humans because as a place to stay and carry on life. Having a house is certainly not an easy matter because it requires a very large cost for it. This large amount of capital has made the community take a short and practical path by choosing half or full subsidized housing loans. Only with a capital of 20 million housing mortgages can be placed. However, the case of the house also considers the size, area, model, size of the remaining land, and location to be crucial in the selection. At present the types of KPR houses consist of types 36, 45, and 54. All three types have subsidies from the government so that they are affordable by many communities. However, from the results of field observations many people felt that it was not appropriate to choose the type of house. Let's say someone wants a type 45 house but ends up choosing type 36 with an estimated objection to paying monthly installments, even though they are capable. And vice versa who take type 45 then object to paying the monthly installments. Based on these problems, the authors try to help the community through the bank with the application of a decision support system (SPK). With this system, people who have filled out the registration form on the system will get a recommendation for the type of house. This system was built using the simple addative weight (SAW) method.Keywords: House, KPR, Type, SPK, SAW
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Decision Support System Recommendations of Half and Full Subsidized KPR Houses
Full text linkThe house is a primary need for humans because as a place to stay and carry on life. Having a house is certainly not an easy matter because it requires a very large cost for it. This large amount of capital has made the community take a short and practical path by choosing half or full subsidized housing loans. Only with a capital of 20 million housing mortgages can be placed. However, the case of the house also considers the size, area, model, size of the remaining land, and location to be crucial in the selection. At present the types of KPR houses consist of types 36, 45, and 54. All three types have subsidies from the government so that they are affordable by many communities. However, from the results of field observations many people felt that it was not appropriate to choose the type of house. Let's say someone wants a type 45 house but ends up choosing type 36 with an estimated objection to paying monthly installments, even though they are capable. And vice versa who take type 45 then object to paying the monthly installments. Based on these problems, the authors try to help the community through the bank with the application of a decision support system (SPK). With this system, people who have filled out the registration form on the system will get a recommendation for the type of house. This system was built using the simple addative weight (SAW) method.Keywords: House, KPR, Type, SPK, SAW
Internet-Based Flood Detection System (Iot) and Telegram Messenger Using Mcu Node and Water Level Sensor
Full text linkDuring the rainy season, several regions in Indonesia experienced floods even to the capital of Indonesia also flooded. Some of the causes are the high intensity of continuous rain, clogged or non-smooth drainage, high tides to accommodate the flow of water from rivers, other causes such as forest destruction, shallow and full of garbage and other causes. Every flood disaster comes, often harming the residents who experience it. The late anticipation from the community and the absence of an early warning system or information that indicates that there will be a flood so that the community is not prepared to face floods that cause a lot of losses. Therefore it is necessary to have a detection system to provide early warning if floods will occur, this is very important to prevent material losses from flooded residents. From this problem the researchers designed an internet-based flood detection System of Things (IoT). This tool can later be controlled via a smartphone remotely and can send messages Telegram messenger to citizens if the detector detects a flood will occur.Keywords: Flooding, Smartphone, Telegram messenger, Internet of Thing (IoT)
Variations on the Author
Full text link“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
- …
