Judul: Implementation Cost Design of Meat Quality Monitoring  System Design and Smart Label at PT. XYZ
Abstrak: Distribusi daging yang efisien dan berkualitas tinggi sangat penting dalam industri pangan, namun sering menghadapi tantangan seperti kerusakan produk akibat perubahan suhu. Penelitian ini bertujuan untuk merancang dan menganalisis biaya implementasi sistem monitoring kualitas daging dan label pintar indikator temperatur di PT XYZ. Analisis ini dilakukan dengan merancang struktur biaya yang digunakan untuk menghitung harga pokok produksi per kg daging serta biaya implementasi dalam distribusi produk daging, dilakukan juga analisis sensitivitas dan validasi hasil menggunakan perangkat lunak MATLAB. Berdasarkan hasil analisis, diketahui bahwa implementasi sistem monitoring suhu dan kualitas serta label pintar indikator temperatur membutuhkan penambahan biaya sebesar 0.65% dari harga daging Rp. 120.000/kg. Analisis sensitivitas menunjukkan bahwa parameter kapasitas daging dan kenaikan biaya varibel sebesar 30% berpengaruh signifikan terhadap harga pokok produksi per kg daging. Validasi hasil menunjukkan hasil perhitungan yang sama dengan perhitungan menggunakan Ms. Excel. Implementasi sistem monitoring suhu dan kualitas serta label pintar indikator temperatur efektif dalam mengurangi permasalahan distribusi dan memberikan nilai tambah yang signifikan bagi perusahaan dalam hal pengendalian kualitas dan penghematan biaya jangka panjang., Efficient and high-quality meat distribution is essential in the food industry, but often faces challenges such as product damage due to temperature changes. This study aims to design and analyze the cost of implementing a meat quality monitoring system and temperature indicator smart label at PT XYZ. This analysis is carried out by designing a cost structure that is used to calculate the cost of production per kg of meat as well as implementation costs in the distribution of meat products, sensitivity analysis and validation of results using MATLAB software. Based on the results of the analysis, it is known that the implementation of a temperature and quality monitoring system and temperature indicator smart label requires an additional cost of 0.65% of the meat price of Rp. 120,000/kg. Sensitivity analysis shows that the meat capacity parameter and a 30% increase in variable costs have a significant effect on the cost of production per kg of meat. Validation of the results showed the same calculation results as the calculation using Ms. Excel. Meanwhile, the cost of loss due to product returns caused by temperature reaches an average of IDR 226,634,000 per month. The implementation of a temperature and quality monitoring system, along with smart labels that indicate temperature, effectively reduces distribution problems and provides significant added value to the company. This value is realized through improved quality control and long-term cost savings.
Keyword: Internet of Things (IoT), Implementation cost, Quality monitoring system, Smart label, Cost of loss return

Judul: Analisis dan Desain Sistem Informasi Produksi dan Keamanan Pangan di PT XYZ
Abstrak: Beef consumption in Indonesia is only 34% compared to the world average. The main reason is the high price due to the long supply chain. As an importer and distributor of frozen food, PT XYZ provides meat at competitive prices. Production unit is a new unit that performs the process of cutting, milling, or repackaging to reach a broader range of consumers. The information system has not yet been formed, so it becomes an obstacle in product documentation and tracking. This study aims to analyze the production process flow, design information system components with its quality parameters, make system prototypes, implementation and evaluation system prototypes. Product definition is stable and system requirement is well-known hence, SDLC method and waterfall model are used. Black-box testing shows that the user can carry out all parts of the production information system appropriately. System implementation showed that the data access time increased from 5 minutes to 5 seconds, the data input time from 10 minutes to 4 minutes, and reports of production units that did not exist before became available. Exponential smoothing has highest accuracy compared to other forecasting method with 30.86 MSE value, 5.55 MAD value, and 90% accuracy.
Keyword: food safety, forecasting, information system

Judul: Studi Taksonomi Katak Subgenus Papurana (Lesson, 1831) dari Halmahera (Anura, Ranidae, Hylarana), Studi Taksonomi Katak Subgenus Papurana (Lesson, 1831) dari Halmahera (Anura, Ranidae, Hylarana
Abstrak: I reevaluated taxonomic of subgenus Papurana position from Halmahera based on morphological and molecular analyses. My results show that two separate species occur on the Halmahera Island, each nested within two distinct clades (hereafter papua clade and celebensis clade), one of which corresponds to H. moluccana (celebensis clade) and the other to an unidentified species (papua clade). By p-distance ranging from 6.9 to 11.5% on the 16S rRNA gene, the unidentified species (Hylarana sp.) is genetically different from all congeners of the papua clade. The Hylarana sp. can be distinguished from all congeners by following combination of charactes: vomer teeth in two oblique rows with narrow inter-vomer distance; snout rounded dorsally; dorsum with few scattered cone-shaped tubercles that are black with white tips; distinct skin folds (ridges) on the dorsal side of the thigh coinciding with dark brown cross bars; a marbled pattern on the ventral side of the thigh and yellowish groin. I also present new data for H. daemeli, H. volkerjane, and H. arfaki from the western region of Papua. Furthermore, I found that H. celebensis has numerous mtDNA lineages, indicating cryptic diversity within the celebensis clade. The discovery of two separate species on Halmahera necessitates more research into the biogeographic history of Hylarana in Northern Moluccas.
Keyword: frog, Halmahera, Hylarana, morphology, Papurana, phylogenetic