Judul: Rancang Bangun Sistem Intelijensia Bisnis Untuk Agroindustri Susu Skala Menengah Di Indonesia
Abstrak: Sistem intelijensia bisnis dapat berperan serta sebagai alat untuk memberikan informasi yang akurat dan berguna bagi pengambil keputusan dalam batas waktu yang ditentukan untuk mendukung pengambilan keputusan dalam agroindustri susu. Business Intelligence (BI) atau Intelijensia Bisnis adalah model matematika dan analisa metodologi eksploitasi data yang tersedia untuk mendapatkan informasi dan pengetahuan yang berguna dalam proses pengambilan keputusan yang kompleks. Intelijensia Bisnis adalah kombinasi dari data warehouse dan sistem intelijen. Tujuan dari penelitian ini adalah untuk mengembangkan analisa dan disain sistem berorientasi objek untuk menghasilkan data warehouse yang digunakan dalam operasional Sistem Intelijensia Bisnis, mengembangkan model kualitas berdasarkan logika fuzzy; mengembangkan model CRM (Customer Relationship Management) dengan metode OLAP Cube; membuat model dan formulasi rule dari penerimaan kredit sapi bergulir dengan teknik klasifikasi dengan algoritma decision tree dari Data Mining; mengintegrasikan, mengevaluasi kinerja dan menguji coba model-model Sistem Intelijensia Bisnis. Pendekatan sistem ini digabung dengan Rancang bangun sistem Intelijensia Bisnis dari Vercellis (2009) yang terdiri dari 4 tahap sehingga didapatkan Prototipe Sistem BI bagi Agrindustri Susu Skala Usaha Kecil dan Menengah. Metode penelitian yang digunakan merupakan kombinasi untuk mengembangkan penelitian intelijensia bisnis yaitu Unified Modeling Language (UML), Fuzzy, FMEA, Cube, OLAP, Data Mining, Decision Tree, ETL (Extract, Transform, Load) dan Data Warehouse. Model datawarehouse didukung oleh proses ETL. Analisa kebutuhan sebagai dasar dari pengembangan sistem intelijensia bisnis untuk agroindustri susu skala menengah telah dibuat dengan menggunakan analisa berorientasi objek dengan unified modeling language (UML). Analisa dimulai dengan pembuatan diagram Class yang dilanjutkan dengan Physical Data Model (PDM) yang akan menjadi dasar pembuatan data warehouse untuk operasional sistem intelijensia bisnis. Model Business Intelligence (BI) adalah integrasi antara model cube, sistem fuzzy, data mining, data warehouse dan ETL akan membantu untuk menghasilkan sistem yang lebih cepat dan efisien. Disain BI berisi model CRM (Customer Relationship Management), model kualitas dan model pembiayaan kredit. Model pembiayaan berdasarkan metode decision tree data mining berperan untuk mengambil keputusan peternak mana yang layak mendapatkan kredit sapi bergulir. Model CRM (Customer Relationship Management) berperan untuk menentukan segmentasi konsumen. Kapabilitas sub model CRM berdasarkan metode RFM (Recency Frequensi Monetory) dan CLV (Customer Lifetime Value) dengan metode OLAP cube dengan Ranking CLV (Customer Lifetime Value) untuk Industri Pengolahan Susu adalah untuk menentukan konsumen potensial. Dari model CRM ranking tertinggi adalah PT.FFI, yang v berarti merupakan konsumen IPS prioritas pertama yang harus diperhatikan. Model Kualitas berdasarkan metode fuzzy failure mode effect analysis menghasilkan FRPN (Fuzzy Risk Priority Number) tertinggi dari koperasi susu di Jawa Barat sebesar 692 yaitu kandungan Total Plate Count (TPC) lebih besar dari 1 juta/ml. Keseluruhan model diintegrasikan dalam sebuah kerangka analisis dalam bentuk prototype Sistem Intelijensia Bisnis Agroindustri Susu (SIBAS). Peran Sistem Intelijensia Bisnis dalam penelitian ini membuat mengembangkan database menjadi data warehouse dan mengintegrasikan model perkreditan dengan metode data mining decision tree, model kualitas dengan metode fuzzy dan model CRM dengan metode OLAP Cube, agar dapat meningkatkan kepuasan pelanggan dan stakeholder, mendukung keputusan secara intelijen, mengembangkan alat-alat pendukung keputusan, dan membuat optimisasi dan pengembangan model.
Keyword: Business Intelligence (BI), Unified Modeling Language (UML), Fuzzy, FMEA (Failure Mode Effect Analysis), OLAP (Online Analytical Processing), Cube, Recency Frequency Monetory (RFM), Data Mining, Decision Tree

Judul: Sistem Informasi Eksekutif Untuk Perencanaan Pengembangan Agroindustri Susu.
Abstrak: Milk is a strategic commodity consumed by Indonesian citizens from toddlers until old one. However, in reality milk production in Indonesia is very low and could not fulfill existing demand. Governments have imported this commodity in a huge amount, of about 70% of milk required in Indonesia. An integrated system is required to help users, particularly business executives in the field of agroindustry milk. The purpose is to provide useful information as consideration source and reference for them to study or investigate the planning and decision for development, executives will be able to make decision quickly, precisely, and accurately. The scope of this research is in West Java and its districts, as the center of the milk business. In addition, the scope for commodities discusses including cheese, butter, yoghurt, fresh milk, and powder milk. This research methodology consisted of three steps, were analyzing, designing/prototyping used a function directional decomposition (DFD/Data Flow Diagram), and prototyping system consisting of design, implementation, and verification system. Executive information system (EIS) contains are critical success factor needed to identify the needs of executive, drill down capability that can provide detailed information of the displayed summary, and graphical user interface that displays the interface in the form of graphs. This work was called as Exemil 1.0 which had six informations reviewed, consisted of farming/livestock, marketing, production-consumption, production planning, location development, and financial feasibility information. The development of GUI consisted of two types of graph that appeared in the monitoring report Exemil 1.0, were the shape of a bar graph that displayed threedimensional development of agroindustry and speedometer which showed the percentage growth rate agroindustry milk. The result is conducted to see an appropriate output with a comparison tool. One of verification is carried out on PPIC subsystem. From these data, obtained output forecast demand. Output generated by Microsoft Excel 2007 by using the five methods of time series are single moving average: 610750 kg, double moving average: 621687 kg, single exponential smoothing: 612281 kg, Brown’s method: 613651 kg, and Holt’s method: 588708 kg. While the output generated by Exemil 1.0 was 610750 kg. The result was the same with one of the techniques using Excel 2007. For implementation purposes, Exemil 1.0 is an integrated system of milkbased agroindustry in West Java that allows executives to make decision easier, but still needed
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Judul: Hybrid solar cells of ZnO nanoparticles/chlorophyll was modified metal ions (Zn2+ and Cu2+ )
Abstrak: Zinc Oxide (ZnO) is a n-type semiconductor with a wide the energy band (Band Gap) is 3.37 eV at room temperature and 3.34 eV at low temperature with a large exiton binding energy is 60 meV. ZnO has been synthesized by hydrothermal method, resulting in a decrease in particle size over the duration of the hydrothermal changes. Crystallographic structure of ZnO were characterized using XRD, has shown the characteristic pattern of a hexagonal wurtzite structure, the crystallite size increases to changes in particle size. Changes in particle size has also led to a change in the absorption peak of ZnO as has been demonstrated posted under test using the optical properties of UV-Vis spectrophotometer. Changes of this uptake has also led to changes in the energy band gap, which increases its band gap energy of the particle size. In electronic applications, especially in solar cells. Chlorophyll is considered less effective, because of their very nature are easily degraded as a result of several reactions which are acid, lighting and temperature. The results of the stability test using a halogen lamp 34 W/m2 for 5 hours, that the substitution of chlorophyll with metal ions Zn2+ and Cu2+ has been shown to form more stable than natural chlorophyll. The characterization of the optical properties, the combination of ZnO / chlorophyll in the form of hybrid films has led to a shift in the absorption region of ZnO becomes more widely from the UV to Visible. ZnO/chlorophyll has absorption range of 350-515 nm, ZnO / Zn-feofitin 332-401 nm and 332-632 nm for Cu-feofitin. The combination of ZnO/chlorophyll and CuSCN as a solid electrolite in hybrid solar cell, a modified chlorophyll with metal ions Zn2+ and Cu2+ has been shown to form a more stable I-V curve. It is characterized by its fill factor value greater than natural chlorophyll. Nevertheless, solar cells with natural chlorophyll has been able to produce higher efficiency values of chlorophyll were substituted.
Keyword: Hydrothermal, ZnO/Chlorophyll modified, Hybrid Solar Cell