Judul: Rancang Bangun Sistem Smart grading Susu Segar Berbasis Internet of Things
Abstrak: Kualitas susu segar merupakan faktor utama dalam menentukan harga susu. Peternak susu menjual susu segar dengan kualitas yang berbeda-beda. Hal yang mempengaruhi kualitas ini adalah kondisi hewan dan lingkungan. Faktor lain seperti pemantauan suhu penyimpanan susu segar masih menggunakan metode konvensional oleh karena itu, tujuan dari penelitian ini adalah menentukan grade susu segar dan monitoring suhu dan kelembaban secara real time. Salah satu alternatif baru yang dapat digunakan untuk mengatasi permasalahan ini adalah memanfaatkan teknologi terbaru, seperti Internet of Things (IoT). Pertama, analisis kebutuhan sistem yang berbasis IoT untuk mengembangkan prototipe smart grading susu segar. Pemodelan sistem smart grading susu segar berbasis rekayasa sistem. Kedua, menerapkan teknik pembelajaran mesin yaitu Jaringan Saraf Tiruan (JST), digunakan untuk klasifikasi grade susu segar berdasarkan kualitas. Prototipe sistem dikembangkan menggunakan alat sensor DHT22 dan Node-MCU ESP-8266, yang mampu menampilkan fitur secara real time. Alat cerdas ini menampilkan suhu dan kelembaban untuk menjaga kualitas susu segar selama proses pre-produksi. Atribut yang menentukan sistem smart grading adalah suhu, kelembaban, jumlah mikroba, berat jenis, dan total lemak. Model JST mampu mengklasifikasi sistem smart grading dengan akurasi 92.59%. Penelitian ini menghasilkan model yang mampu monitoring suhu dan kelembaban secara real time dan menampilkan grade susu segar tiap peternak. Rancang bangun sistem smart grading susu segar membantu dalam penentuan harga jual susu segar tiap peternak.
Keyword: Internet of Things, Jaringan Saraf Tiruan, Smart Grading, Susu Segar, Artificial Neural Network, Fresh Milk, Internet of Things, Smart Grading System

Judul: Design of a Real-Time Temperature and Meat Quality Monitoring System Based on Internet of Things during Distribution at PT XYZ
Abstrak: Agroindustri memiliki peran penting dalam mengolah hasil produk pertanian, termasuk daging sapi yang memiliki nilai ekonomi tinggi namun mudah rusak. Untuk menjaga kualitas daging sapi selama distribusi, PT XYZ menghadapi tantangan dalam pengawasan suhu dan kualitas produk. Penelitian ini bertujuan merancang sistem monitoring suhu dan kualitas daging secara real-time menggunakan teknologi Internet of Things (IoT) untuk mengatasi permasalahan tersebut. Metode penelitian mencakup eksplorasi masalah, pendefinisian masalah, ideasi solusi, pengembangan prototipe, serta uji dan validasi sistem. Pada tahap eksplorasi, ditemukan bahwa fluktuasi suhu selama distribusi menyebabkan kerusakan produk. Oleh karena itu, solusi yang diusulkan adalah implementasi IoT untuk pemantauan suhu dan kualitas secara real-time. Prototipe yang dirancang terdiri dari perangkat keras seperti mikrokontroler, sensor suhu, dan modul Wi-Fi, serta perangkat lunak berbasis web untuk menampilkan data. Pengujian perangkat keras menunjukkan bahwa sensor memiliki tingkat kesalahan yang dapat diterima, sementara perangkat lunak berhasil menampilkan data suhu dan kualitas (TVB) serta grafik selama distribusi. Hasil penelitian menunjukkan bahwa sistem monitoring suhu dan kualitas daging berbasis IoT dapat meningkatkan efektivitas dan efisiensi rantai pasok dingin di PT XYZ. Sistem ini mampu mengurangi kerusakan produk dengan pemantauan real-time, meningkatkan kepuasan pelanggan dan daya saing perusahaan., The agro-industrial sector plays an important role in processing agricultural products, including beef, which has high economic value but is highly perishable. To maintain beef quality during distribution, PT XYZ faces challenges in monitoring temperature and product quality. This study aims to design a real-time temperature and quality monitoring system for beef using Internet of Things (IoT) technology to address these challenges. The research methodology includes problem exploration, problem definition, solution ideation, prototype development, and system testing and validation. During the exploration phase, it was found that temperature fluctuations during distribution cause product damage. Therefore, the proposed solution is the implementation of IoT for real-time temperature and quality monitoring. The designed prototype consists of hardware such as a microcontroller, temperature sensor, and Wi-Fi module, as well as web-based software to display the data. Hardware testing showed that the sensors have an acceptable error rate, while the software successfully displayed temperature and quality (TVB) data and graphs during distribution. The research results indicate that the IoT-based temperature and quality monitoring system can improve the effectiveness and efficiency of the cold supply chain at PT XYZ. This system can reduce product damage with real-time monitoring, increasing customer satisfaction and the company's competitiveness
Keyword: Internet of Things (IoT), sistem monitoring, Rantai Pasok Dingin, Distribusi Daging Beku

Judul: Distribution and Diversity of Ectoparasite Mites on Geckos in Indonesia
Abstrak: Data on the diversity and dispersal of parasitic mites on house geckos in Indonesia are very scarce. In this work, the distribution and diversity of mites living on three species of house geckos, namely Cosymbotus platyurus, Hemidactylus frenatus, and H. garnotii collected throughout Indonesia, has been elaborated. Geckos and mites were captured and immediately preserved in 70% ethanol. Whole mount of the mites was prepared by clearing in lactophenol followed by mounting on polyvinyl lactophenol solutions. The SEM preparation was conducted to examine the detail morphological characters of the mites. The results showed that among 448 individuals of geckos, 221 geckos were infected by Geckobia mites. Prevalences of C. platyurus, H. frenatus, and H. garnotii infested by mites were 14.8%, 50.69%, and 79.6%, respectively. Three different spesies of Geckobia (G1, G2, and G3) could be differentiated; and based on similarities of their morphological characters to ones described in published literatures, Geckobia G2 is Geckobia glebosum and Geckobia G3 is Geckobia bataviensis while G1 could not be identified to the species level. The highest mean intensity of Geckobia G1 infestation was found on H. garnotii (I=7.0), G. glebosum infestation on H. frenatus (I=3.5), and G. bataviensis infestation on H. garnotii (I=11.8). In general, C. platyurus was infested by the least number of mites. Geckobia G1 were found living on the skin folds on the claws, G. glebosum were found mainly on the body and thigh, and G. bataviensis were found on almost all parts of the host’s body. Geckobia mites are distributed randomly throughout Indonesian Archipelago, following the pattern of distribution of their hosts. So it is concluded that Geckobia G1, G. glebosum, and G. bataviensis are sympatric.
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