Judul: Sistem Pendukung Pengambilan Keputusan Cerdas Manajemen Risiko Rantai Pasok Komoditas Belimbing.
Abstrak: Belimbing sebagai buah unggulan di kota Depok berpotensi besar untuk dikembangkan dan harus diiringi oleh pengelolaan risiko yang tepat. Penelitian ini bertujuan untuk menganalisis kinerja rantai pasok, mengidentifikasi dan menyusun strategi mitigasi risiko rantai pasok serta merancang model pendukung pengambilan keputusan cerdas manajemen risiko rantai pasok belimbing. Penilaian kinerja rantai pasok dengan pendekatan Supply Chain Operation Reference (SCOR) dan Analytical Hierarchy Process (AHP). Hasil tersebut menunjukkan bahwa tingkat kinerja untuk pelaku petani sedang (84.37%), pengepul sedang (81.66%), distributor sangat baik (96.89%), dan industri sedang (89.62%). Identifikasi sumber risiko dengan pendekatan fuzzy Failure Mode Effect Analysis (FMEA) dan House of Risk (HOR) 1. Hasil identifikasi didapat 6 sumber risiko prioritas pada petani, 5 sumber risiko prioritas pada pengepul, 5 sumber risiko prioritas pada distributor, dan 3 sumber risiko prioritas pada industri. Upaya mitigasi risiko diidentifikasi dengan pendekatan Fuzzy Inference System (FIS) dan HOR 2. Hasil menunjukkan terdapat 7 prioritas aksi mitigasi pada petani, 5 prioritas aksi mitigasi pada pengepul, 4 prioritas aksi mitigasi pada distributor, dan 4 prioritas aksi mitigasi pada industri. Penyusunan strategi mitigasi risiko dengan fuzzy AHP menunjukkan 3 aksi mitigasi terpenting (2 aksi mitigasi pada petani dan 1 aksi mitigasi pada pengepul) dan dapat dilakukan paling utama sebagai penanganan risiko. Model sistem pendukung pengambilan keputusan cerdas merupakan pemodelan berorientasi objek yang dapat membantu pengguna untuk evaluasi kinerja dan pengambilan keputusan dalam manajemen risiko rantai pasok secara lebih efisien.
Keyword: analisis fuzzy, analisis multikriteria, belimbing, keputusan cerdas, risiko rantai pasok

Judul: Sistem penunjang keputusan manajemen Rantai Pasok Karet Alam dengan pendekatan Sustainable Balanced Scorecard di PT. X
Abstrak: Sistem penunjang keputusan (SPK) dapat digunakan untuk melakukan evaluasi kinerja dan pengambilan keputusan di dalam manajemen rantai pasok dengan lebih efisien sehingga dapat meningkatan produktivitas dari agroindustri karet alam. Penelitian ini bertujuan untuk mengidentifikasi rantai pasok karet alam serta merancang model pengambilan keputusan dan model pengukuran kinerja rantai pasok dengan menggunakan pendekatan sustainable balanced scorecard dan selanjutnya menggunakan model tersebut untuk mengembangkan SPK. Penelitian ini dilakukan dengan menggunakan pendekatan sistem. Dalam penelitian ini juga dilakukan analisis seven green waste untuk penggambaran green value stream map (GVSM) yang menunjukan bahwa terdapat potensi penghematan air sebesar 1 877 364 liter dan energi sebesar 761 kWh perbulan dalam proses produksi ribbed smoked sheet (RSS) di salah satu kebun karet milik PT. X. Hasil penilaian pakar pada model pemilihan strategi peningkatan mutu lateks dengan metode fuzzy AHP merekomendasikan adanya perbaikan perilaku sadap. Hasil penilaian pakar pada model pemilihan strategi peningkatan kinerja rantai pasok dengan metode analisis SWOT merekomendasikan strategi penekanan biaya produksi dengan melakukan berbagai efisiensi dan pengutamaan kualitas produk sebagai nilai saing utama dengan perusahaan lain. Pembobotan indikator kinerja utama (IKU) dengan metode fuzzy AHP di dalam model pengukuran kinerja menunjukan bahwa perspektif pelanggan memiliki bobot kepentingan yang paling besar sebesar 0.318 sedangkan IKU dengan bobot yang paling besar adalah net profit margin yang dipicu oleh penurunan biaya operasional rantai pasok karet alam. Model-model ini diterjemahkan dalam pemodelan berorientasi obyek yang kemudian diimplementasikan dalam sebuah paket program komputer yang akan membantu pengguna SPK dalam menentukan keputusan dan melakukan pengukuran kinerja., Decision support system (DSS) can be used for performance evaluation and decision making in supply chain management to increase the productivity of natural rubber agroindustry. This research objectives were to identify the natural rubber supply chain decision-making models and to formulate its performance measurement model by using sustainable balanced scorecard approach and then to develop a decision support system prototype. This study was conducted by using a systems approach. This study also analyzed seven green waste to describe the green value stream map (GVSM), the result shown that there is a potential savings of 1 877 364 liters of water and an energy of 761 kWh per month in the ribbed smoked sheet (RSS) production process in one of the gardens owned by PT. X. The results of expert judgment by using fuzzy AHP method in latex quality improvement strategy selection model shown that there are some needs of tapping behavior improvement. The results of expert judgment in supply chain performance improvement strategies selection model of by SWOT analysis method recommended cost reduction strategy by perform several production efficiency and using product quality as the key value to compete with other companies. Weighting of key performance indicators (KPI) with fuzzy AHP method in performance measurement model shown that the customer perspective has the greatest importance weight of 0.318 while the KPI with the greatest weight is net profit margin which is triggered by a decrease in operating costs of natural rubber supply chain. These models were translated into an object-oriented modeling and implemented in a package of computer programs that could assist users in decision
Keyword: Sustainable Balanced Scorecard, SPK, rantai pasok, karet alam, fuzzy AHP, GVSM

Judul: DNA Extraction and Characterization of Salmonella‟s Lytic Bacteriophage Genome
Abstrak: Bacteriophages are ubiquitous in nature and are known to proliferate wherever their bacterial hosts exist. Their virion particles can exist independently outside the host, however all phages are need their host to propagate. Several phages are highly specific to host cell surface receptors and any slight changes in structure results in little or no interaction between the phage and its host. Salmonella‟s phage isolated from sewage water where their bacteria exist. Three isolated of phages (phages 15, 19 and 38) were used in this research that concentrated using three types of methods. PEG/ NaCl method was firstly used to concentrate the phages based on their molecular weight to precipitate the phage particles during centrifugation. The second method was Scraping Plaque method. In this method, overlay plaques were scraped and collected in SM buffer to get phage concentrates. Enrichment method was the last method used to concentrate the phages. Phage genome isolation was done using two methods i.e. EDTA/SDS and Proteinase K methods. The first method was done using DNase I to eliminate bacterial DNA followed by SDS/EDTA treatment to release phages DNA and phenol-chloroform-isoamyl alcohol to extract the DNA. DNA was collected by isopropanol extraction. While in Proteinase K method, bacterial DNA was eliminated by DNase I and Proteinase K/SDS was used to degrade phages capsids and ethanol for DNA precipitation. The result showed that PEG/NaCl method resulted the highest phage concentration for phage 15 and phage 19, while scrapping method was the highest for phage 38. The quantity and purity of extracted DNA were low for PEG/NaCl and Scraping methods, while Enrichment method was higher indicated higher purity. Run on agarose gel electrophoresis of extracted DNA confirmed that Enrichment method results were the best while scraping and PEG/NaCl method was appeared smear background. Based on DNA genome size determination, the bacteriphages of Salmonella sp were comparable with other study of Salmonella phages. Phage P15 with genome size of 39,5 kb was close to phage epsilon15. Phage P19 with genome size of 41 kb was close to phage ST160. And phage P38 with genome size of 48,5 kb was close to phage Gifsy-1.
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