Judul: Film Indikator Warna Daun Erpa (Aerva sanguinolenta) Sebagai Kemasan Cerdas untuk Produk Rentan Suhu dan Cahaya
Abstrak: Industri susu banyak mengembangkan metode untuk mengevaluasi kesegaran dari produk susu. Salah satunya dengan menampilkan tanggal kedaluwarsa, namun tanggal kedaluwarsa tidak mampu menginformasikan kesalahan penyimpanan pada susu. Pengembangan kemasan cerdas berupa indikator warna erpa dapat memantau kualitas susu pasteurisasi apabila terpapar suhu tinggi. Dalam penelitian ini film indikator warna dalam bentuk film kitosan-PVA (Polivinil Alkohol) dengan pewarna alami dari daun erpa (Aerva sanguinolenta). Ekstrak pewarna erpa memiliki pH 5.09 dengan total 116.65 mg antosianin/100 g daun erpa segar. Indikator film disimpan pada empat suhu penyimpanan untuk memeriksa kinerja film indikator, yaitu pada suhu freezer ((-10)±2° C), refrigerator (3±2°C), ruang (25±3oC) dan perlakuan dengan paparan cahaya matahari pada suhu 40o C. Hasil penelitian menunjukkan bahwa film yang disimpan pada suhu 40°C dengan paparan cahaya, secara visual film ini berubah warna dari merah ke kuning dalam waktu dua jam. Pada suhu kamar (25±3oC), secara visual film ini berubah dari merah ke kuning dalam satu hari, sementara pada suhu refrigerator (3±2°C) film mulai berubah dari merah ke merah kekuningan pada hari ke-8 dan menjadi kuning cerah pada hari ke-12. Selanjutnya, film yang disimpan pada suhu freezer ((-10)±2°C) menunjukkan sedikit perubahan warna tapi itu masih berwarna merah secara visual setelah disimpan selama 78 hari. Dari data yang diperoleh dapat disimpulkan bahwa film indikator warna daun erpa dapat diterapkan sebagai kemasan cerdas untuk mendeteksi kerusakan susu pasteurisasi.
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Judul: Label Cerdas Indikator Warna dari Ekstrak Kubis Merah (Brassica oleracea).
Abstrak: Smart packaging is an indicator, either it is placed internally or externally in the food packaging to provide information about the quality of the product packed. One of the most popular nowadays is in the form of film made from PVA (polyvinyl alcohol) with additional natural dyes as its indicator. The purpose of this research was to study and develop smart packaging made from PVA and red cabbage extract as the natural dyes and figure out the best formulation as well as to study the film coloring technic. First step was the red cabbage color extraction conducted in methods namely: 1) boiling, 2) crushing in a blender, and 3) solvent extraction using 98% ethanol; while the selected process was by boiling for 7 minutes resulting extract with pH of 6.21 and anthocyanin content of 25.02 mg per 100 gram red cabbage. Afterwards, film preparation with PVA powders formulations applied as following: 3 g (w/w), 3.5 g (w/w) and 4 g (w/w); while the best film resulted with thickness of 0.15 mm, tensile strength of 2.64 kgf/mm² and elongation of 210% shown by 3.5 g PVA powder film formulation. Film formulation technique by mixing method produced colorless film, whereas tinting method showed more uniform and stable colored film. Indicator film color measurement for room, cooler and freezer temperature showed L determination coefficient were 0.782, 0.418 and 0.066, respectively; a* value of 0.7975, 0.5880 and 0.7179, respectively; and b* value of 0.8393, 0.4534 and 0.3631, respectively. oHue linier equation revealed high determination coefficients of 0.8536, 0.6586 and 0.8061, respectively. Rising storage temperature lead to increase in ohue value, and the longer storage time the higher ohue value.
Keyword: PVA film, red cabbage dye, smart packaging

Judul: The addition of a noun word graph dictionary module in bogordelftconstruct
Abstrak: Knowledge Graph is a new method in Natural Language Processing that is used to describe human language and displaying it into a graph form. BogorDelftConStruct is a tool to analyze Indonesian text, developed by Deni Romadoni (2009). The tool has limited feature, opening many opportunities to add some other features. The goal of this research is to develop a noun word graph dictionary module and add it in BogorDelftConStruct. The patterns of the noun word-graph are based the research of Saleh (2009). In this research, of the 20 patterns in Saleh (2009) only 13 patterns are used, since some of word graph patterns which have the same affix and also have the different meaning. As many as 144 nouns were used in scenario testing, with 1 error was generated (99,33% accuracy).
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