1,721,156 research outputs found
hawani hasibuan
No full textPola tanam tumpangsari (interplanting) adalah penanaman dua jenis tanaman atau lebih pada sebidang tanah yang sama. Salah satu syarat teknis yang harus dipenuhi dalam melakukan tumpangsari dengan tanaman tebu adalah kedua macam tanaman tidak saling menaungi dan menghasilkan panen yang optimal, maka harus dicari saat penanaman yang tepat.Tumpangsari tanaman tebu dengan tanaman semusim harus dilandasi pemikiran bahwa hasil tebu tidak menurun, sedang tanaman yang ditumpangsarikan harus mencapai hasil yang optimal
hawani hasibuan
No full textPola tanam tumpangsari (interplanting) adalah penanaman dua jenis tanaman atau lebih pada sebidang tanah yang sama. Salah satu syarat teknis yang harus dipenuhi dalam melakukan tumpangsari dengan tanaman tebu adalah kedua macam tanaman tidak saling menaungi dan menghasilkan panen yang optimal, maka harus dicari saat penanaman yang tepat.Tumpangsari tanaman tebu dengan tanaman semusim harus dilandasi pemikiran bahwa hasil tebu tidak menurun, sedang tanaman yang ditumpangsarikan harus mencapai hasil yang optimal
Hawani Halfina's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
Hawani Halfina's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
Hawani Halfina's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
Hawani Halfina's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
Hawani Halfina's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
Hawani Halfina's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
Enhanced fuzzy subjective evaluation method / Shezrin Hawani Amir Hamzah
No full textIt has become a rising concern nowadays where a reliable subjective evaluation performance is necessary in order to measure the level of performance in an organization. Thus, this research begins with analyzing the fuzzy evaluation, including fuzzy rule extraction methods, weight generation method and normalization method available in the literature. Fuzzy approach has been applied in some of the previous studies used in assessment and evaluation methods. However the drawback of the fuzzy subjective evaluation method in using rules and weight has been proposed based on the expert’s view. They failed to integrate or ensure they meet the organization objective in the evaluation process. Hence, the aims of this thesis are to make an enhancement on the existing subjective evaluation method by Othman et al. (2008) and to introduce three main elements which are weight generation, rule extraction method and normalization method in subjective evaluation method. In the second stage of the thesis, five data sets from previous studies were used to validate the subjective evaluation method. The research experiment analyzed the properties of fuzzy rules generated in terms of the total number of rules, size and length. The normalization method was used for all types of data and weight generation method from data collection. The results of the analysis have shown that the consistency of ranking was validated by comparing the performance of the proposed method to several subjective evaluation methods. Hence, the proposed method was able to produce comparable results in fuzzy environments, tn conclusion, the proposed enhanced fuzzy subjective evaluation method offered another alternative framework with efficient approach towards evaluation process. This will contribute to a better evaluating process which reduces the need of human thinking, thus saves costs, reduces time, and helps to increase the high consistency
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