Judul: Pembangunan Sistem Pemantauan Jarak Jauh Otomatis untuk Perilaku Ayam menggunakan Kamera Inframerah
Abstrak: Penelitian ini bertujuan untuk membangun sistem pemantauan otomatis jarak jauh menggunakan Raspberry Pi (RPi). Google Drive (GDrive) API digunakan sebagai metode transmisi data dan GDrive sebagai metode penyimpanan data. Sebuah livestream dari kandang ayam dapat diakses melalui halaman web dengan memanfaatkan ngrok sebagai tunneling software sehingga livestream dapat diakses secara publik menggunakan peramban web. Tiga resolusi video berukuran 640x480, 800x600, 1024x768 dengan masing-masing dua variasi framerate 15 dan 30 digunakan sebagai skenario pengujian perekaman video berdurasi lima menit sebanyak 12 kali untuk masing-masing resolusi dan framerate-nya. Skenario 640x480 dan 800x600 memiliki perbedaan peningkatan ukuran file sebesar 90% untuk 15 fps dan 85% untuk 30 fps, sedangkan peningkatan dari 800x600 ke 1024x768 relatif sangat tinggi yaitu sebesar 220~244% dan akan memakan banyak memori penyimpanan untuk perekaman jangka panjang., The purpose of this research is to develop an automatic remote monitoring system using Raspberry Pi (RPi), the RPi device is connected to Google Drive (GDrive) via GDrive API as the data transmission method for storing the recordings of chicken coop. A livestream of the chicken coop is accessible through a simple http web page utilizing ngrok as a tunneling software so that the livestream can be publicly accessed from anywhere using a web browser. The result of this research is an automatic remote monitoring system that can ease the process of remote monitoring broiler chickens and reduce production costs as well as recordings of the chickens that can be used for further research related to poultry behavior patterns. Three video resolutions of 640x480, 800x600, 1024x768 with 15 and 30 as the framerates each were used as test scenarios of 12 times five minutes recordings for each resolutions and framerates. The 640x480 and 800x600 scenarios showed an increasing difference of 90% for 15 fps and 85% for 30 fps, whereas the increase from 800x600 to 1024x768 showed a relatively high increase of 220~244% which will take a lot of memory space for long term monitoring.
Keyword: automatic remote monitoring system, API, chicken, google drive, raspberry pi

Judul: Integrasi MobileNet-SSD dan Isolation Forest untuk Implementasi Sistem Deteksi Anomali Pergerakan Ayam Berbasis Web
Abstrak: Dalam usaha ternak ayam broiler, kesejahteraan hewan merupakan salah satu aspek yang perlu diperhatikan peternak. Aspek dalam kesejahteraan hewan diantaranya adalah freedom from hunger or thirst (kebebasan dari kelaparan dan haus) dan freedom from pain, injury or disease (kebebasan dari rasa sakit, luka dan penyakit). Proses pemberian pakan secara terus menerus mengakibatkan meningkatnya massa ayam broiler, membuat ayam broiler menjadi kesulitan bergerak untuk mengambil makanan maupun air, yang mengakibatkan ayam broiler menjadi sakit kemudian mati. Tersedianya sistem yang dapat mendeteksi kesulitan bergerak pada ayam broiler akan memudahkan peternak dalam memantau pergerakan ayam broiler dari kejauhan. Dalam penelitian ini, deteksi ayam yang kesulitan bergerak dilakukan melalui integrasi model deteksi objek MobileNet-SSD dan algoritma deteksi anomali isolation forest dari penelitian sebelumnya. Integrasi dilakukan menggunakan bahasa pemrograman Python, diuji menggunakan video dengan kombinasi resolusi dan frame per second (FPS) tertentu, kemudian diimplementasikan menjadi sebuah aplikasi web menggunakan framework Flask. Hasil analisis integrasi menunjukkan bahwa semakin besar resolusi dan FPS video masukan, maka waktu inferensi dan waktu eksekusi dari sistem hasil integrasi menjadi semakin besar dan diestimasi meningkat secara linear., In the broiler farming business, animal welfare is an aspect that needs to be considered by breeders. Aspects of animal welfare include freedom from hunger or thirst and freedom from pain, injury, or disease. The process of continuous feeding results in broiler chicken's mass increase, making it difficult for them to move to get food and water, resulting in their sickness and death. The availability of a system that can detect the movement difficulty of the broiler chickens will make it easier for farmers to monitor the movement of broiler chickens from afar. In this study, the detection of chickens that had difficulty moving was carried out by integrating the MobileNet-SSD object detection model and the isolation forest anomaly detection algorithm from previous studies. Integration is carried out using Python programming language, tested using video with a combination of resolution and frame per second (FPS), then implemented into a web application using the Flask framework. The integration analysis shows that the greater the resolution and FPS of the input video, the greater the inference and execution time. Both times are also estimated to increase linearly.
Keyword: animal welfare, anomaly detection, broiler chicken, object detection, web application

Judul: Lejeuneaceae Subfamily Ptychanthoideae (Hepaticae) in  West Java
Abstrak: Subfamily Ptychanthoideae of the family Lejeuneaceae (Hepaticae) in West Java is still poorly known. Publications on this subfamily are out of dated and written in the 19th or early of 20th century. The last taxonomic treatment of Ptychanthoideae of West Java was in 1933, many species names have changed since then. Studies on Ptychanthoideae of West Java are urgently needed. Studies on the Ptychanthoideae were based on the specimens collected from West Java. A total number of 361 of specimens deposited in the Herbarium Bogoriense (BO), Herbarium Biotrop (BIOT), Gottingen Herbarium (GOET) and Bangi Herbarium (UKMB) were examined, those are old and several recent specimens collected in West Java. Recent collections were made from Telaga Warna, Ciater, Gunung Halimun Salak National Park, Cibodas Botanical Garden, Bodogol Education Center and Conservation (Gunung Gede Pangrango National Park), University of Indonesia Campus Depok, including several collections from Banten Province. Twenty four species of Lejeuneaceae subfamily Ptychanthoideae are known from West Java, belonging to 8 genera namely Acrolejeunea (Spruce) Schiffn. (2 species), Archilejeunea (Spruce) Schiffn. (1 species), Lopholejeunea (Spruce) Schiffn. (10 species), Mastigolejeunea (Spruce) Schiffn. (3 species), Ptychanthus Nees (1 species), Schiffneriolejeunea Verd. (1 species), Spruceanthus Verd. (2 species) and Thysananthus Lindenb. (4 species). Two new records of Ptychanthoideae: Mastigolejeunea indica Steph. and Thysananthus minor Verdoorn are reported for Java. A determination key to the species is presented including their descriptions and illustrations.
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