Penerapan Metode Simple Multi Attribute Rating Technique Pada Pemberian Bonus Tahunan Karyawan

Employees are one of the most important aspects of a company. Quality employees will improve the quality of the company. To encourage employees to give their best to the company, companies can give bonuses to their employees. PT Budi Gema Gempita (BGG) is one of the companies that provides annual bonuses to its employees. In determining which employees will receive bonuses, PT Budi Gema Gempita (BGG) still uses paper to make an assessment. a decission support system is needed which can help Budi Gema Gempita (BGG), especially Human Resource Development (HRD) and division heads in the process of giving bonuses. The Simple Multi Attribute Rating Technique (SMART) method will be used because of its simplicity at responding to the needs of decision makers and how it responds. SMART is a multi-criteria decision method and a linear additive model to predict the value of each option. The use of SMART method is expected to provide the best recomendations for leaders to provide bonuses to employees

Sistem Pendukung Keputusan Pemilihan Pemain Terbaik Pada Tim Basket Menggunakan Metode Weighted Product (WP)

Koreri Basketball Club merupakan sebuah club basket professional dari liga NBT (Liga Bola Basket) Indonesia. Pada klub ini terdiri dari 25 pemain dimana dalam setiap kali bermain membutuhkan pemain-pemain yang terbaik dalam setiap posisinya, pemain basket terbaik dipilih untuk sebagai pemain inti yang akan diturunkan dalam setiap pertandingan tetapi yang selalu menjadi permasalahannya adalah kesulitan pelatih atau panitia dalam melakukan proses pemilihan pemain-pemain yang terbaik untuk dimainkan dalam suatu event pertandingan. Salah satu peran Sistem Pendukung Keputusan (SPK) dibidang olah raga adalah untuk pemilihan pemain terbaik bola basket dalam suatu pertandingan. Sistem ini mengimplementasikan metode Weighted Product (WP). Weighted Product (WP) menggunakan linear additive model untuk meramal nilai setiap alternatif. Weighted Product (WP) lebih banyak digunakan karena kesederhanaanya dalam merespon kebutuhan pembuat keputusan dan caranya menganalisa respon. Ada beberapa kriteria yang menjadi bahan pertimbangan dalam memilih pemain terbaik antara lain kontribusi kepada tim berupa Assist (C1), Shooting (C2), Rebounds (C3), TO (Turn Over ) (C4). Hasil validasi pengujian pada Sistem Pendukung Keputusan Pemilihan Pemain Terbaik Pada Tim Basket Menggunakan Metode Weighted Product (WP) adalah 73%.Kata kunci: Sistem Pendukung Keputusan (SPK), Weighted Product (WP), pemain terbaik, tim, bola basket.

Impact of land use and soil properties on soil methane flux response to biochar addition

Addition of biochar to soils has been shown to increase crop yield and aid in mitigating greenhouse gas emissions by decreasing the extent of soil methane (CH4) flux. Previous studies utilizing metaanalysis to better understand the impact of environmental and management factors on CH4 flux from biochar treated soil systems have provided contrasting results, ranging from significant increase, decrease, to no change in methane flux after amendment. We hypothesized that these discrepancies could be explained by separating studies into two major land use categories, upland and paddy, prior to analysis so that the overall redox conditions are more comparable across studies upon which statistical comparisons are made. Furthermore, past studies did not consider potentially critical soil properties including soil organic carbon, total nitrogen, C/N, and soil texture; a number of biochar properties including biochar pH and C/N; and five additional management and experimental factors. In this study, Hedge's d metric was calculated and Wilcoxon analyses were used in a meta-analysis to determine the impact of these additional factors on methane flux from biochar-amended upland versus paddy soils. We demonstrate that variations in soil characteristics including SOC, C/N, and pH significantly influences the methane flux from biochar treated soils, while biochar characteristics and management practices have less to no effect as determined by the magnitude of the Hedge's d metric. Soils with low SOC, total nitrogen, C/N, acidic or alkaline pH exhibited lowest CH4 emission rates/highest CH4 uptake rates, whereas soils with higher SOC content, C/N, and circumneutral pH exhibited higher CH4 emission with biochar addition. Several possible mechanisms are suggested to explain the role of these variables in CH4 cycling. Results from this study will be used to evaluate the input parameters for building a linear additive model to quantitatively predict soil methane flux in response to biochar additions. Ultimately, implementation of the linear additive model can be extremely valuable for advising agricultural practices toward minimize methane emissions or maximizing methane sink strength. We suggest that additional field and controlled experiments be performed to better define the reaction network that controls methane flux from biochar treated soils, with particular attention to paddy soils where studies are still lacking.