Judul: Desain Model Sistem Traceability pada Rantai
Pasok Hijau Agroindustri Potato chips
Abstrak: Rantai pasok hasil pertanian dimulai dari petani (hulu) dan berakhir di konsumen (hilir) yang melewati beberapa proses produksi dan distribusi belum terdata dengan baik. Informasi detail rantai pasok suatu produk makanan menjadi hal yang sangat penting untuk menumbuhkan rasa kepercayaan konsumen untuk membeli dan mengkonsumsi makanan tersebut. Identifikasi informasi yang akan direkam adalah persyaratan paling penting untuk mengembangkan sistem traceability yang efektif. Penelitian ini bertujuan untuk melakukan analisis model rantai pasok hijau kentang dan mengukur kinerja rantai pasok agroindustri kentang, untuk mengembangkan model komputasi sistem traceability pada rantai pasok hijau agroindustri potato chips, serta untuk mendesain sistem pendukung keputusan cerdas model traceability informasi mutu, keamanan produk dan lingkungan pada rantai pasok hijau agroindustri potato chips. Metode yang digunakan dalam analisis situasional yaitu analisis model rantai pasok dan penilaian kinerja rantai pasok hijau agroindustri potato chips menggunakan SCOR dan Fuzzy AHP. Sedangkan untuk mengembangkan model komputasi yaitu model post harvest losses menggunakan weight loss test, model carbon footprint menggunakan pendekatan life cycle assessment, untuk penilaian kriteria mutu, keamanan pangan dan lingkungan menggunakan FIS dan ANFIS untuk mendesain model SPKC traceability menggunakan android front end. Penilaian kinerja rantai pasok potato chips ada dua pelaku yaitu kelompok tani masih tergolong rendah sebesar 77,23% dan agroindustri tergolong sedang sebesar 84,29%, sehingga perlu dilakukan perbaikan dilihat berdasarkan hierarki pengukuran kinerja yaitu kriteria pada mutu, losses, GHG Emission dan pemenuhan pesanan perlu diperhatikan. Model komputasi yg dihasilkan terdiri dari rangkaian sub model yg terdiri model perhitungan susut pasca panen di transportasi yaitu sebesar 3,3% dengan perlakuan open storage, model pendugaan carbon footprint di segemen hulu – hilir dengan menghasilkan jejak karbon scope 1 (dari kelompok tani- ke Agroindustri) sebesar 2,199 kgCO₂eq /kg potato, scope 2 (Agroindusti potato chips) sebesar 2,937 kgCO₂eq /kg potato chips dan scope 3 (agroindustri–retailer) 10,940 kgCO₂eq /kg potato chips dan model traceability untuk agro industri potato chips dengan hasil untuk kiriteria mutu sebesar 84%, keamanan pangan sebesar 74% dan lingkungan sebesar 67,4% serta agregasi GAP sebesar 74,2% yang masih dalam kategori fair. Produk dengan status good dan fair memenuhi syarat GAP sehingga dapat melanjutkan pada proses pengolahan potato chips, sedangkan produk yang statusnya poor tidak dapat meneruskan proses selanjutnya. Susut bobot pada agroindustri perlu dilakukan perlakuan tertutup pada penyimpanan sehingga dapat menurunkan susut bobot. Perlu dilakukan efisiensi dalam penggunaan energi pada mesin fryer dan penggunakaan alat transportasi dalam penggunaan bahan bakar yang digunakan sehingga dapat menurunkan carbon footprint yang dihasilkan. Model komputasi yg dihasilkan akan di kembangkan menjadi platform SPKC berbasis android dan dapat berjalan secara real time.
Keyword: ANFIS, FIS, Traceability, Green supply chain, IDSS, Performance Assessment, Potato chips agroindustry

Judul: "SMART" AGROLOGISTIK: Sistem Pendukung Keputusan Spasial Cerdas untuk Pengembangan Logistik Agroindustri Kentang Berkelanjutan
Abstrak: Potato (Solanum tuberosum L.) is an essential horticultural food after wheat, rice, and corn. Indonesia is the world's 10th producer and the largest in Southeast Asia, with a growth rate of 8.4% per year and an average production of 1.3 million tons/year. The most significant production in Indonesia is Central Java, which is 277,702 tons. In Indonesia, potato is a strategic horticultural commodity that prioritizes diversified food consumption and supports national sustainable food security. Trends in global food security, the complexity, uncertainty of decision-making, and demands for environmental sustainability have given birth to adaptive technology, including modern logistics. Agro-industry logistics (agro logistics) is a modern logistics related to processing food horticultural raw materials. The main problem is the product characteristics with high vulnerability, complexity, and uncertainty. The perishable nature of commodities, sensitivity to climate change, and high price fluctuations cause this. Quality declines rapidly after harvest, resulting in potential losses of up to 40%. In addition, the spatial conditions affect the supply capability, while standard mathematical calculations cannot solve this problem. Therefore, a Decision Support System (DSS) is needed to improve sustainable food security that considers the characteristics of food horticultural products with a spatial perspective. This study developed "SMART" AGROLOGISTICS, a prototype application of an intelligent spatial decision-making system for sustainable potato agro logistics development. This prototype supports the SMART framework, a reliable and integrated simulation model that is adaptive and integrated. This prototype has determined the most suitable location for the development of potatoes as sustainable food horticulture. This prototype can integrate the IoT, namely SHT15 sensors for humidity and temperature and rain gauge sensors for rainfall. Spatial analysis of three physical factors: altitude, soil texture, slope percentage, and three factors: climate, temperature, humidity, and rainfall. The development of this prototype is an effort to increase productivity which is currently low, which is 16.99 tons/ha, and the target of meeting industrial needs, has only reached 85.93%. The prototype implementation level in Wonosobo, Central Java, shows that the average research sample with very suitable sustainability is 11.05%. Good condition with several inhibiting factors is 62.01%, and moderately sustainable condition is 22.9%. Meanwhile, we did not record 4.04%. Sustainability areas are in Kejajar (P1), Garung (P2), Mojotengah (P3), Kalikajar (P5), and Kepil (P13), so we recommend prioritizing these locations to meet industry needs. This study modifies the multi-thresholding method with overlay and geoprocessing techniques to predict the amount of harvest. The development of a prototype with a modification of this method attempts to balance supply and demand. The current demand for raw materials for the potato industry in Central Java is 117,000 tons/year. This prototype integrates IoT, namely remote sensing using DJI quadcopters drones to balance supply and demand. The prototype implementation shows that the average total harvest is 13.79 tons/ha, with the accuracy rate of 89.35%. The predicted total industrial potato production is 72,765 tons/year. So there is still a shortage of production of 44,235 tons/year. Decision-makers can use this method to meet the needs of potato raw materials for industry. The modification of this model can recommend an increase in
Keyword: food security, IoT, ISDSS, logistics transparency, spatial Dijkstra, sustainable potato agro-industry

Judul: Metrik Einstein (Anti-) Self-Dual Berdimensi Empat dengan Metode Cartan
Abstrak: Gravitational field equation can be formulated in differential forms (differential geometry), which describes gravity as a manifestation of the curvature of space-time. Curvature of space-time is characterized by a metric that satisfies the gravitational field equation. With differential forms it can be formulated the (anti-) self-dual Einstein equation, which is a modification of the Cartan structure in (anti-) self-dual basis. Calculation of (anti-) self-dual metric with (anti-) self-dual Einstein equation is simpler than the calculation using Christoffel symbols.
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