Establishment of An Academic Makerspace at the Bataan Peninsula State University: Prospects and Challenges

Makerspaces are now fixtures in smart cities and universities in advanced countries. Many universities, especially in the United States, have Academic Makerspaces serving students and faculty, helping them with their projects. In Bataan Peninsula State University our goal is to have an Academic Makerspace with services and facilities at par with international standards. This Academic Makerspace will be a place where our students can ideate, conceptualize, build and manufacture their projects, either academic projects, or just extracurricular projects they are interested in. The goal is to promote invention, innovation, creation and making. This study summarized the best practices of Academic Makerspaces in the United States. The practices of local innovation centers were also benchmarked. With this study, we have identified what facilities are needed, which equipment to purchase, and what kinds of programs should be made available in the Makerspace. Fund source, possible partner agencies, and other important details have been discussed. This study provides short- and long-term plans/programs which would be very important in the establishment of BPSU’s Academic Makerspace. These plans will be used to recommend future facilities/services in BPSU. The prospects and challenges of establishing an academic makerspace which would need careful consideration have been briefly discussed.

3D Printing Applications in Agriculture, Food Processing, and Environmental Protection and Monitoring

This paper presents a mini review of the applications of 3D printing, formally known as additive manufacturing, in the fields of agriculture, food processing, and the environment protection and monitoring. The paper discusses materials used in 3D printing, the different printing technologies employed in the process, as well as its prospects. PLA and ABS thermoplastics find the most application in the field of agriculture as they are affordable filaments available in the market and they are relatively easy to print. The direct extrusion of food helps people with swallowing difficulties increase their food intake as well as customize their diet. As for the environment, applications in water desalination and air quality monitoring are among the use cases of 3D printing presented in this paper.

Market Basket Analysis for Determination of Consumer Behavior at XYZ Stores Using R Programming

Data mining is one of the fields of science in the world of informatics which has an important role, especially with regard to data. There are many algorithms and methods that can be used to process data. The paper this time the author tries to conduct research on consumer behavior by using one of the data mining techniques, namely market basket analysis. This research uses the R Programming tool, where it is hoped that the research can be carried out effectively and efficiently. Based on the research conducted, it is known that there has been a significant purchase of several items that have been described as a plot. The tendency of consumers to buy several items followed by other items can be a consideration for arranging the layout of goods on the sales shelf or arranging product stock in a supermarket.

Correlation of Sex Ratio and Population of Callosobruchus chinensis L. (Coleoptera: Bruchidae) in Mung Beans

One of the important pests on mung beans is the warehouse pest Callosobruchus chinensis (Coleoptera: Bruchidae). These pests can cause yield losses of up to 90%. Populations of adult C. chinensis have a close correlation in influencing the development of this pest in mung bean storage. This study aims to determine the correlation between the sex ratio of the population and its development in C. chinensis and to see its preference for mung beans. This research was conducted at the Plant Breeding Laboratory, Brawijaya University. The method was carried out by investing adult C. chinensis in mung beans based on the sex ratio, there are four sex ratio comparisons observed. Observations were made every week to see the number of eggs, larvaes, adults and dead insects. Based on the results of the study, the sex ratio of 2 males and 3 females resulted in the highest number of populations, a total of 72 eggs and 46 adult C. chinensis. Our hypothesis is that a high sex ratio leads to an increase in the population of C. chinensis. The vima variety is resistant mung beans compared to consumption varieties because it has lower seed weight loss. The results of this study are preliminary results that can be used for further research to evaluate the correlation between sex ratio, population and development of C. chinensis

Utilization of E-money for School Payments Using Web-Based RFID Sensors

School payments are a very important issue to support a school that is used to meet infrastructure and other needs. Therefore, if there is an error in writing or the loss of payment data, a difficult problem will arise. Because the payment process is still manual using a notebook.By utilizing E-money and RFID Sensors in the school payment process, it will be very helpful to create an effective and efficient payment process. That is by using school student cards as self-identity in searching for data that will be linked to a web as a basis. In paying school fees, you can also use E-money for the payment process. Therefore, the author will use electronic money to process the payment. That is by utilizing server-based electronic money in the form of applications such as OVO and DANA. Because it is easier and has been registered with Bank Indonesia, it will be guaranteed safe. The way it works is the first by installing an RFID sensor on the student card which functions as a means of finding personal data or identity so there is no need to search for data one by one manually. Furthermore, it will be linked to the website as a payment basis, where when the RFID sensor is successful in scanning student data, a payment option will appear, which can be paid directly or through the available OVO and DANA electronic money.

Information System Supply Chain Management with FIFO Pertetual Method

Inventory is one of the assets that has an important role for the activities of a company. Problems that often occur in inventory are at the time of recording and evaluating inventory. Generally, the recording is not detailed or even manual, thus making inventory reports unclear and not good. . This study applies an information system using Supply Chain Management (SCM) at PT. Von Mustika sejahtera, a company engaged in the distributor and retail of ornamental plants in the form of orchids. This system is built using the PHP programming language and MySQL database. This study resulted in an Accounting Information System using the FIFO Pertetual method which functions for inventory management and report presentation more effectively and efficiently.

Activity of Moringa oleifera seed ethanolic extract against E. coli

Bacterial contamination in our environment is worrying, mainly contamination at drinking waters, vegetables, foods, soil which close to our daily activity. The main contamination in environment is caused by E. coli which simply found easily surround us. So, it leads to bigger problem if not immediately solve. One of possible yet safe compounds to overcome this problem is the use of natural product such as M. oleifera seeds as antibacterial agents. This study want to find out the ability of M. oleifera seed ethanolic extract as antibacterial agent against E. coli. Ethanolic extract of M. oleifera seeds are concentrated into 25%, 50%, and 75%, then treated to E. coli culture under laboratory condition. The inhibitory zone diameter which formed after 24 hours incubation was measured and compared to control with no extract treatment. The result of this study showed that there is inhibitory zone formed in three groups of treatmen (T1-T3), but there is no inhibitory zone formed at control group. The 75% ethanolic extract of M. oleifera seeds (T3) has the wides inhibitory zone diameter among four groups, followed by the 50% extract (T2) and 25% extract (T1) with diameter 15,03 ± 0,55 mm; 11,00 ± 1,32 mm; 7,03 ± 0,90 mm, respectively. All inhibitory zone diameter among groups in this research statistically different with strong inhibitory status at T2 as well as T3, and moderate inhibitory status at T1.

“Branket” Design as a Safe Deposit Box Security System using Arduino-Based Tap Sensor

Safe is a safe place to store valuables or documents. Because they are usually made of strong and hard materials, a safe is a place to store valuables and important documents in the event of a natural disaster or fire. In addition, the safe is also equipped with a locking system so that it can also be used to secure valuables or documents from theft. Usually, safes are used by agencies or companies and the general public who have valuable items or documents. Safe security systems that have been used generally use either a manual lock, a rotary lock, or a digital lock. There are several security system developments in the safe, including using a microcontroller-based password and fingerprint code, a fingerprint sensor and an Arduino UNO-based RF remote control, using a microcontroller via SMS and FSK facilities, and other developments in the safe security system. “Branket” (Tap Safe) is a safe with a smart lock system using a knock pattern. The bracket is composed of several electronic components, mainly a microcontroller, a solenoid lock, and a piezoelectric knock sensor. The workflow for using the bracket begins by pressing the power button to turn on the bracket. Then the user sticks his hand into the small space to store or opens the safe by tapping the sensor according to the pattern. Increased security on the bank account includes a locking system with a secret knock pattern, easy to remember by the owner, faster opening of the safe, and the process of opening the safe is difficult for others to know. It is hoped that “branket” will become a new innovation in a unique locking system that still has a high level of security.

Automatic Complaints Categorization Using Random Forest and Gradient Boosting

Capturing and responding to complaints from the public is an important effort to develop a good city/country. This project aims to utilize Data Mining to automatize complaints categorization. More than 35,000 complaints in Bangalore city, India, were retrieved from the “I Change My City” website (https://www.ichangemycity.com). The vector space of the complaints was created using Term Frequency–Inverse Document Frequency (TF-IDF) and the multi-class text classifications were done using Random Forest (RF) and Gradient Boosting (GB). Results showed that both RF and GB have similar performance with an accuracy of 73% on the 10-classes multi-class classification task. Result also showed that the model is highly dependent on the word usage in the complaint's description. Future research directions to increase task performance are also suggested.

Application Biplot and K-Medians Clustering to Group Export Destination Countries of Indonesia’s Product

A good increasing export will yield foreign exchange to a country, and subsequently funding its country growth. In Indonesia, export is one of the biggest foreign contributors. As we can see that the countries Indonesia export to are more than 100, it is a must to group them based on their similarity. Biplot and cluster analysis are statistic methods which are used as tool to classify data based on variable explanatory. There are outliers in data acquired. Outliers are observation data which is appeared to be extremely different to the other data. Those data are identified by leverage method. in summary, this research applies K-Medians Clustering Method using Manhattan Distance to resolve outliers while grouping the countries based on their export data. The data contains export data of 182 countries in the year of 2017. R 3.5.1 software was used to calculate in this analysis. The clustering shows us that each continent form difference clusters. Asia has 4 clusters while the rest each has 3 clusters. In addition, we can conclude that several clusters have high value export of Indonesia for certain variables.