The research aimed to develop expert system for helping lecturers to decide which courses to be taken by students in the next semester. The expert system contained specific pieces of knowledge to solve specific problems involved in the forms of system development and maintenance. This expert system was in the form of a website using the PHP programming language and MySQL database. The researcher used the Ripple Down Rules (RDR) method to identify the courses by putting forward the questions so that the system could decide which courses the students should take in next semester. The result shows that this web-based expert system can identify which courses that the students have to enroll after the students have answered questions generated by the system. The available data on the courses in the system adapt to the rules, so it is in line with the enrolled courses.

Based on the data, there were still shortages of production from year to year and demand wereunstable in motorcycle chains manufacturer in Indonesia. To overcome these problems, the purpose of this research was to make production planning and inventory control consisting of forecasting, aggregate planning, Master Production Schedule (MPS), and Material RequirementsPlanning (MRP). Forecasting used the additive decomposition method (average of all data), multiplicative decomposition (centered on moving average), and winter method (additive and multiplicative). Aggregate planning used chase strategy, level strategy, and transportation model. Moreover, MRP used lot for lot, Economic Order Quantity (EOQ), and Periodic Order Quantity (POQ) methods. The test shows several results. First, the best forecasting is additive decomposition (average of all data) with MAD value of 3.033,57, MSE with 13.590.490,and MAPE with 10,083%. Second, the best aggregate planning is transportation model with the total cost of Rp7.708.398.390,00. Last, the best MRP method is the lot for lot with total cost Rp7.162.567.653,00.

This research examined factors that influenced lender’s trust towards the borrower. The peerto-peer lending platform facilitated lending mechanism between lender and borrower. However, the loan was often considered as an unsecured loan, since there was a lack of traditional financial data. Using literature review, this research analyzed the determinant factor to establish trust between borrower and lender. Based on Elaboration Likelihood Model (ELM), the result of this research proposes a model for trust building between lender and borrower. The model categorizes information to establish trust into hard information, soft information, and social capital.

This research applied information system by using Supply Chain Management (SCM) in the pharmaceutical warehouse in Mamasa Regency. The scope of the research was maximized on pharmaceutical warehouse operations and drug distribution to clinics. This research did not focus on cost, profit, lead time, and procurement costs. This system was built using PHP programming language and MySQL database. System development process used waterfall method. It consisted of requirement analysis, system analysis, design, development, and testing. The test system used the xampp 6.2 servers with a black box testing method that involved the pharmaceutical warehouse staff as the end user. The results demonstrate technologies that can be used by physicians to submit drug requests faster and report on real-time drug use (LPLPO). For pharmaceutical warehouses, this system is useful for drug availability, drug management, and response information. This technology can help the health department to perform its role as a supervisory or controlling function (internal controls) of the drugs. This research also gives a recommendation for the pharmaceutical warehouse management in providing benefits for the institutions/companies involved. This research has an insight for the management to realize the importance of Information Technology (IT) to support daily operational activities.

The students’ academic performance is one of important evaluation factors in accreditation. It is interesting to explore the factors which give impact to the academic achievement or performance. This research put academic performance as the research problem. Since this research was combining two disciplines: information systems (IS) and educational management (EM), it set Internet Use (representing IS) and self-esteem (representing EM) as factors impacting the academic performance. Moreover, this research used the quantitative method. Based on the quantitative research model, the research used primary data collected from students of ABFI Institute of Perbanas, Jakarta. The data was calculated using a statistical tool called SPSS. The descriptive statistics was also applied to describe the variables, and regression technique was for describing the relationship between the variables. After analyzing the data, the research finds that self-esteem affects the academic performance significantly and positively, but the Internet use does not impact the academic performance significantly.

Basically, when waves pass an uneven basis, then this wave will be split into transmission and reflection waves. First of all, it will be shown that a sinusoidal seabed can lead to the phenomenon of Bragg resonance. Bragg resonance occurs when the wave-length comes at twice the wave-length of a sinusoidal basis. The method used to obtain approximation solution is a multi-scale asymptotic expansion method. A research on the effect of Bragg resonance on sinusoidal basis had been studied. Sinusoidal basis can reduce the amplitude of the incoming wave so that the amplitude of the wave transmission is quite small. In these researcher, the coast is assumed ideal and can absorb all the energy of the wave transmission. If the beach can reflect waves, this indicates that the existence of sinusoidal basis is more harmful to the coast. This mechanism relies on the distance between the base sinusoidal and beaches. The present research will examined the influence of the base, when there was a beach of hard-wall on the right, which was perfectly capable of reflecting waves. Having regard to the phase difference, from super positioned waves when they hit the beach, so it can determine the safert and the most dangerous distance.

This article presented empirical finding of the effect of gamification for learning. Evidence in the findings of the empirical study that explores two education games that were developed earlier with a total of 64 participants was presented. The first game was a computer game with historical themes of Ken Arok and Ken Dedes of Singhasari Kingdom. The second game was an Android-based mobile game with Historicity of the Bible themes of Moses. Prior research showed that more than 50 percent of junior and senior high school students in Jakarta demonstrated their apathy to several subjects in their school. They also disclosed that they were having difficulty in following their class in particular with a difficult subject such as History subject. With the popularity of games, the gamification of learning was investigatd to enhance the interest of the students to master a particular subject. The results show that there is a statistical significance increase of the students score and interest in history subject in a group that was using the games to help them in the subject compared to a group that reading books about the particular subject alone 0.001. Furthermore, the participants also reported that playing games was helping them to remember difficult names and event timeline in the historical events

This paper discusses integrated model of batch production scheduling and machine maintenance scheduling. Batch production scheduling uses minimize total actual flow time criteria and machine maintenance scheduling uses the probability of machine failure based on Weibull distribution. The model assumed no nonconforming parts in a planning horizon. The model shows an increase in the number of the batch (length of production run) up to a certain limit will minimize the total actual flow time. Meanwhile, an increase in the length of production run will implicate an increase in the number of PM. An example was given to show how the model and algorithm work.

Tight competition in the broadband industry has forced the provider to have a good product propotition and strategy in the market, including market segmentation and type of services delivered based on customer’s expextation and intention to buy. This research aims to make a product proposition based on two major criteries in fixed broadband service, which are speed and price of the product, by looking into the competition in existing market (competitor’s product). As many players in Indonesia have created very tight situation, the will be launched product should have an attractive matter or differentiation in order to compete and get a “buy in” of the customer. In the research, some analysis was conducted across all the propositions by spreading questionnaires to respondents in urban area especially in Jakarta and Bandung, thus the provider can create product with an appropriate specifications to answer the needs of customers on their affordable price to buy. Some close-ended questions in the questionairres were scaled and performed by basic statistical approach methods. The result shows that product with affordable price is still become the choice of respondents in each segment (low, medium and high income). Price list per speed which is fitted to any segments is also suggested in this research. The result of the research can also be used to develop the product as a differentiation to be the choices and preferencesof customers.

Making an identification system that able to assist in obtaining, recording and organizing information is the first step in developing any kind of recording system. Nowadays, many recording systems were developed with artificial markers although it has been proved that it has many limitations. Biometrics use of animals provides a solution to these restrictions. On a cattle, biometric features contained in the cattle muzzle that can be used as a pattern recognition sample. Pattern recognition methods can be used for the development of cattle identification system utilizing biometric found on the cattle muzzle using digital image processing techniques. In this study, we proposed cattle muzzle identification method using segmentation Statistical Region Merging (SRM). This method aims to identify specific patterns found on the cattle muzzle by separating the object pattern (foreground) from unnecessary information (background) This method is able to identified individual cattle based on the pattern of it muzzle. Based on our evaluation, this method can provide good performance results. This method good performance can be seen from the precision and recall : 87% and the value of ROC : 0.976. Hopefully this research can be used to help identify cattle accurately on the recording process.