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Herding Behavior Model in Investment Decision on Emerging Markets: Experimental in Indonesia
Sri RAHAYU,Abdul ROHMAN,Puji HARTO 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.1
This research aims to examine the model of investor herding behavior in making investment decisions in the Indonesian capital market, which is influenced by social and information impacting on the value of the Book Value Per Share (BVPS). The latest stock market conditions show that most investors make the same error pattern in making investment decisions that result in losses. The experiment involves two independent variables, namely, information about BVPS and social influence. This study used a 2x2 factorial design laboratory experimental method. Data collection was carried out through treatment of a sample of 100 individual investors listed on the Indonesia Stock Exchange. Univariate Two-Way Analysis of Variance (ANOVA) statistical tool was used to test the independent variable on the dependent variable. Research results showed that the social influence originating from expert investors is more influential than the Book Value Per Share (BVPS) information on the behavior of herding investors in making investment decisions. These findings suggest that investors know their psychological factors, thereby increasing self-control and investment analysis skills. Further research can use psychological bias and other indicators of accounting relevant information such as Earning Per Share (EPS) to test herding behavior in investment decision making in the capital market.
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Mutant divergence in sunflower induced through gamma radiation
Habib Sheikh Hasna,Akanda Abdul Latif,Roy Pryanka,Kulsum Ummy,Rohman Motiar,Rahman M. M. 한국작물학회 2023 Journal of crop science and biotechnology Vol.26 No.3
Gamma radiation-induced mutation divergence was studied in sunfower variety BARI Surjamukhi-2. A number of treatment combinations from T1 to T5 (100 to 500 gamma doses) were applied at the laboratory of Institute of Food and Radiation Biology, Ganakbari, Savar, and M1 and M2 generations were grown at the research feld of Oilseed Research Centre (ORC), Bangladesh Agricultural Research Institute (BARI), Gazipur. Compared to the control plant, most of the mutagenic treatments in M1 generation showed a gradual reduction of mean performance. The seeds treated with 100 and 200 gamma doses produced taller plant than control, while seeds treated with 400 and 500 gamma doses did not survive or produce any seed to evaluate in further generation. The T3-treated (300 gamma dose) seeds produced plants of average height. Dwarfsm and semi dwarfsm being the most desirable traits in sunfower, the seeds obtained in T3 were grown to generate M2 population for further evaluation. In M2 generation, compared to control, plant improvement was recorded for plant stature (short and robust), increased head size, seed number, and seed yield. Besides quantitative divergence, qualitative divergence was also very obvious—such as diferent size, shape and orientation in head character, robust stem, broad leaf, short internode, tall mutants, branching mutants, diferent size, shape and seed coat color compared to non-treated seed. All these diverse mutants may have breeding value and be put into further research.
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Windarsih Anjar,Bakar Nor Kartini Abu,Rohman Abdul,Yuliana Nancy Dewi,Dachriyanus Dachriyanus 아세아·태평양축산학회 2024 Animal Bioscience Vol.37 No.5
Objective: The adulteration of raw beef (BMr) with dog meat (DMr) and pork (PMr) becomes a serious problem because it is associated with halal status, quality, and safety of meats. This research aimed to develop an effective authentication method to detect non-halal meats (dog meat and pork) in beef using metabolomics approach. Methods: Liquid chromatography-high resolution mass spectrometry (LC-HRMS) using untargeted approach combined with chemometrics was applied for analysis non-halal meats in BMr. Results: The untargeted metabolomics approach successfully identified various metabolites in BMr DMr, PMr, and their mixtures. The discrimination and classification between authentic BMr and those adulterated with DMr and PMr were successfully determined using partial least square-discriminant analysis (PLS-DA) with high accuracy. All BMr samples containing non-halal meats could be differentiated from authentic BMr. A number of discriminating metabolites with potential as biomarkers to discriminate BMr in the mixtures with DMr and PMr could be identified from the analysis of variable importance for projection value. Partial least square (PLS) and orthogonal PLS (OPLS) regression using discriminating metabolites showed high accuracy (R2 >0.990) and high precision (both RMSEC and RMSEE <5%) in predicting the concentration of DMr and PMr present in beef indicating that the discriminating metabolites were good predictors. The developed untargeted LC-HRMS metabolomics and chemometrics successfully identified non-halal meats adulteration (DMr and PMr) in beef with high sensitivity up to 0.1% (w/w). Conclusion: A combination of LC-HRMS untargeted metabolomic and chemometrics promises to be an effective analytical technique for halal authenticity testing of meats. This method could be further standardized and proposed as a method for halal authentication of meats.
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Erwanto, Yuny,Abidin, Mohammad Zainal,Muslim, Eko Yasin Prasetyo,Sugiyono, Sugiyono,Rohman, Abdul Asian Australasian Association of Animal Productio 2014 Animal Bioscience Vol.27 No.10
This research applied and evaluated a polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) using cytochrome b gene to detect pork contamination in meatballs from local markets in Surabaya and Yogyakarta regions, Indonesia. To confirm the effectiveness and specificity of this fragment, thirty nine DNA samples from different meatball shops were isolated and amplified, and then the PCR amplicon was digested by BseDI restriction enzyme to detect the presence of pork in meatballs. BseDI restriction enzyme was able to cleave porcine cytochrome b gene into two fragments (131 bp and 228 bp). Testing the meatballs from the local market showed that nine of twenty meatball shops in Yogyakarta region were detected to have pork contamination, but there was no pork contamination in meatball shops in Surabaya region. In conclusion, specific PCR amplification of cytochrome b gen and cleaved by BseDI restriction enzymes seems to be a powerful technique for the identification of pork presence in meatball because of its simplicity, specificity and sensitivity. Furthermore, pork contamination intended for commercial products of sausage, nugget, steak and meat burger can be checked. The procedure is also much cheaper than other methods based on PCR, immunodiffusion and other techniques that need expensive equipment.
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