Lamhot Naibaho
@uki.ac.id
English Education Department
Universitas Kristen Indonesia
I am a senior lecturer at Christian University of Indonesia Jakarta at Faculty of Letter and Language. I have got a lot of achievements both from educational institutions, government agencies, and also private institutions. In addition, I have got experiences in writing and presenting my writings at national and international seminars, and has published his writing at national accredited Journal and international indexed Journal.
EDUCATION
Doctoral (
RESEARCH INTERESTS
Psycholinguistics, Linguistics, Language Teaching, Curriculum
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Lamhot Naibaho, Richa Mishra, Dr. Ritu Gautam, Suresh Babu Rajasekaran, Dr Amaresh Jha, and Durgaprasad Gangodkar
IEEE
Artificially intelligent machines possess cognitive capabilities that are comparable to those of human beings. Voice detection algorithms and methods have been developed for the purpose of identifying, differentiating, and verifying speakers. The amalgamation of speech recognition technology and artificial intelligence has facilitated advancements on a global scale. The implementation of conversational artificial intelligence (AI) holds the capacity to significantly transform the market. Law enforcement agencies could potentially employ this technology to identify perpetrators based on their speech patterns. Large-scale social gatherings can provide numerous benefits to researchers across various domains. This technology exhibits the capacity to benefit both the educational sector and the medical and healthcare domain.
Lamhot Naibaho, Pulkit Raj Saxena, Kuldeep Sharma, Badria Sulaiman Alfurhood, L. Pallavi, and Bhasker Pant
IEEE
A future networking design called "software-defined networking" combines network programmability with centralized administration (SDN). Network administration is currently handled by SDN, which, at the regulator, which acts as the cable network processor and divides the data plane into a control plane and a data aircraft. Recent breakthroughs in artificial intelligence (Al) have shown a stronger inclination for the science community to benefit from their ability to give learning capabilities and enhance Indicator. The author of this research provides a comprehensive analysis of initiatives underway to incorporate Al with SDN. The study concluded that the three primary Al thread where scientific research was centered were computer science, conceptual, and fuzzy reasoning systems. The authors of this paper explore the several fields in which these approaches may be used, their potential future applications, and the innovations made possible by the integration of AI-based methods into the SDN paradigm. By choosing the right SDN controller, any large organization may lower network complexity, implementation expenses, and maintenance costs. The focus of this article is software defined networking's benefits and downsides (SDN). Following is a basic explanation of artificial intelligence and a list of some of its most significant applications in SDN.
Lamhot Naibaho, Razauddin, L. Vertivendan, V. Karunakaran, Ashish Oberoi, and N.C. Ajay Vishwath
IEEE
Motion planning for many unmanned aircraft is challenging because they have a larger configuration space than self-driving automobile development (Automated guided vehicles). Additionally, there are more significant uncertainties and disruptions in UAV environments, which makes inter automatic navigation more difficult. In this letter, I proposed a 2 recurrent neural networks (RL) oriented multi-UAV collision avoidance technique by modeling the unpredictability or noise in the environment. Our objective is to create a strategy that can construct a path without clashing with anything using local noisy data. But unlike supervised algorithms, RL lacks a steady training data set with floor labels, thus its collision avoidance strategies often show significant fluctuation and are difficult to reproduce. To solve these issues, we created a two-stage training method for RL-based collision avoidance. We first optimize the policy, and then we utilize a supervised learning methodology with a loss function that encourages the agents to adopt the well-known reciprocity obstacle detection mechanism. In the second step, we use transmission to fine-tune the policy. The complete computer simulation findings demonstrate that this approach can handle noisy local views with erratic sound levels and can design moment & accident paths under inadequate sensing. We review the impact of our policies in a variety of ways.
Bernadetha Nadeak and Lamhot Naibaho
IOP Publishing
E. Handayani Tyas and Lamhot Naibaho
IOP Publishing
This study was aimed to provide information on the urgency of learning entrepreneurship in the era of industrial revolution 4.0. The 4.0. Industrial revolution not only provides opportunities but also challenges for the millennial generation. The developments of science and technology as a trigger for the industrial revolution cause some implications such as unemployment, human vs. machine competition, and increasingly high demands on competency. It is estimated that in the next five to ten years it will eliminate 35 - 75 per cent of the work. As a result, the production process becomes faster and easier to distribute. Then what about human energy? New business opportunities will stimulate the emergence of young entrepreneurs. This is what encourages the emergence of the spirit of entrepreneurship along with changes and developments in the times. The purpose of this study is to explain the importance of learning entrepreneurship in the industrial era 4.0 from elementary to university. The method used in this study was literature and scientific journals studies through a theoretical descriptive approach. The finding of this paper is: In order to be able to compete in the industrial revolution era 4.0, the early creative and innovative entrepreneurship learning is and innovative.
Bernadetha Nadeak, Sasmoko, Lamhot Naibaho, Elferida Sormin, and Citra Puspa Juwita
Diva Enterprises Private Limited
The quality of higher education is largely determined by the quality of lecturers, one of which is determined by their performances. This research is aimed to find out the prior description of the lecturers’ performance of Indonesia private higher education. The method of the study used was descriptive qualitative. The entire population of the study were the lecturers in Indonesia. The sampling technique was cluster random sampling, and the research sample were the lecturers at private higher education in East Jakarta, as many as 400 lecturers. The results of the research were: (1) 85% of the lecturer stated themselves have effective and efficient performances; (2) 89% of the lecturers stated themselves have high responsibility, (3) 85% of the lecturers stated themselves having high discipline, and (4) 85% of the lectures stated themselves having a very good initiative. The implication of this study is the importance of institutional higher education regulation that meets the by maximising the lecturers’ empowerment model is the key to the realization of better education quality and create healthy work culture.
Bernadetha Nadeak, Sasmoko, Uli Erni Iriani, Lamhot Naibaho, Elferida Sormin, and Citra Puspa Juwita
Diva Enterprises Private Limited
This study is aimed to find out how to building employees’ mental health with the correlation between the transactional leadership and training program both partially and jointly on employees’ work motivation of XWJ Factory and it was done at XWJ Factory. The method of the study used was the quantitative method with a descriptive approach. The data collection technique was done by giving questionnaires to 80 respondents who were sampled from populations of 100 employees, and the analysis technique used was multiple linear regression analysis which is aimed to calculate the magnitude of the regression coefficient to show the correlation between the transactional leadership and training program variables on employees’ work motivation. This study has some results, such as a) transactional leadership has a significant correlation with employees’ work motivation, b) training program has a significant correlation with employees work motivation, c) transactional leadership and training program have a significant correlation with employees’ work motivation at XWJ Factory.
Bernadetha Nadeak, Sasmoko, Desy Ria Simanjuntak, Lamhot Naibaho, Elferida Sormin, Citra Puspa Juwita, and Sudung O. Pardede
Diva Enterprises Private Limited
This study is focused on the analysis of nursing quality services, and it was done to know how the quality services of the nurses. The population of this study were the nurses and the patients at private hospitals in Jakarta, and the sampling tecnique used was cluster random sampling. The sample were the nurses and patients who were hospitalized at East Jakarta. The method of the study used was explanatory using a survey method with a cross-sectional approach, where the instruments of the study were a set of questionnaire with likert-scale 1–5. The results of the study show (α<0.05) show that: a) there is a significant effect of commitment of the nurses to the quality services improvement having by the nurses; b) there is a significant effect of the leadership to the quality services improvement having by the nurses; c) there is a significant effect of the ethics of the hospital to the quality services improvement having by the nurses; d) there is a significant effect of the nurses’ performance to the quality services improvement having by the nurses; and e) there is a direct significant effect of the ability of the nurses, the ethics of the hospital, and leadership behaviour on the commitment of the nurse.