Bosker Sinaga
@penusa.ac.id
Technical Information
STMIK Pelita Nusantara
RESEARCH INTERESTS
Decision support system
Expert system
Image processing
Data Mining
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Nera Mayana Br Tarigan, Bosker Sinaga, Erwin Panggabean, and Jijon Raphita Sagala
IEEE
Decision making in an organization is needed a system. Decision support system is a system that helps company management and education in decision making that provides information, modeling and analyzing data with the application of a method. The management, especially higher education, must maximize sophisticated technology. For example, to analyze scholarship data. Problems are found in manual data analysis so that human errors often occur in addition to using more time than the target, losing old data, resulting in inaccurate analysis of scholarship sustainability every semester. The research was conducted to overcome the problems that have been found by analyzing the existing data with the simple additive weighting method, building a system by applying the method and testing the system. The result of this research is to produce an application for the development of a decision support system in managing student data to determine the sustainability of the scholarship every semester. Applications that are built can help the management in managing scholarships.
Jonson Manurung, Yuda Perwira, and Bosker Sinaga
IEEE
The high cost of consulting and checking teeth or mouth makes residents reluctant to go to the doctor. In order to facilitate the consultation, a system is needed that can predict the dental and oral diseases that he is suffering from without having to go to the doctor for consultation on the disease. An expert system is a system that transmits human knowledge to a computer, so that computers can solve problems such as those that are usually tried by experts. Experts defined here are people who have special abilities who can solve problems that ordinary people cannot solve. Research on dental and oral disease expert systems for the manufacture of this expert system used the Naive Bayes method. The decision to diagnose dental and oral disease is carried out through a consultation process between the system and the user, If the answers entered match the applicable regulations, then the system will share the results of the diagnosis of dental and oral diseases that he suffers from. We recommend that the procedures for collecting data in conducting this research are: interviews and literature review. In making this expert system using the Naive Bayes method, it is hoped that it can help residents identify diseases, or share solutions to problems with their teeth and mouth without going to the doctor first.
Paska Marto Hasugian, Harvei Desmon Hutahaean, Bosker Sinaga, Sriadhi, and Saronom Silaban
IOP Publishing
Paska Marto Hasugian, Harvei Desmon Hutahaean, Bosker Sinaga, Sriadhi, and Saronom Silaban
IOP Publishing
Paska Marto Hasugian, Harvei Desmon Hutahaean, Bosker Sinaga, Sriadhi, and Saranom Silaban
IOP Publishing
S. Silaban, B. Sinaga, M. Damanik, and P. M. Silitonga
Rasayan Journal of Chemistry
This research investigates the effective methods of pyridoxine supplementation to enhance the protein (albumin and globulin) level of chicken egg. 12 laying hens that been ready to produce eggs were categorized into three groups based on pyridoxine supplementation methods (via drinking water, ration, and intravenous injection). Each group received supplementation pyridoxine treatment with dosage of 3 mg/kg ransoms for 68 days. The albumin and globulin levels were analyzed using Folin’s Fenol technique and compared to the standard egg. We found that only albumin level could be enhanced. The intravenous injection was the most effective method to significantly increase the albumin levels compared.
Suprianto Panjaitan, Sulindawaty, Muhammad Amin, Sri Lindawati, Ronal Watrianthos, Hengki Tamando Sihotang, and Bosker Sinaga
IOP Publishing