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Technology assistance is very helpful for community activities including financial institutions, such as the application of Fintech (Financial Technology). Fintech utilizes technology to improve banking and financial services performed by companies by utilizing software technology. Along with the development, Fintech began to have a negative impact, especially from the money loan service or Fintech Peer to Peer Lending (P2PL). the problem is how is the protection for debtors / customers, such as attempts to intimidate customers who have difficulty paying. The method used in this research is normative juridical, namely research based on secondary data, which is then analyzed qualitatively and presented in a qualitative form.Based on the research results, it can be concluded that protection for debtors or customers who feel disadvantaged can take 5 (five) ways, which are regulated in the Consumer Protection Law, OJK Regulation, ITE Law, BI and Government Regulations. Safeguards in the Consumer Protection Law are accommodated in Article 4. OJK's efforts, in collaboration with Kominfo and AFPI, are that if there is intimidation that is detrimental to the debtor, the debtor can submit a complaint report through the website page provided by the OJK and AFPI. Debtors can also report to the authorities. The ITE Law can be seen in Article 26 of the ITE Law. Efforts made by Bank Indonesia, namely BI to form the Bank Indonesia Fintech Office (BI-FTO) and recommend to follow the existing regulations in PBI No. 16/8 / PBI / 2014 and PBI No 18/17 / PBI / 2016 concerning Electronic Money (PBI E-Money).           Keywords: Financial Technology, Legal Protection, Debtor Efforts

Transportation is a very important aspect of its existence in society, both the transportation of people and goods. One of the well-known online transportation companies in Indonesia is PT Gojek Indonesia. During its development, there have been actions committed by unscrupulous people in the community that harm online motorcycle taxi drivers, namely fictitious / fake orders. Fictitious Order is an order that starts with creating a fake account through an online transportation application that can harm the company.The problem is what is the form of the agreement between the driver and the user and is there the responsibility of PT Gojek Indonesia. The method used in this research is sociological juridical, with data sources in the form of interviews. The results of the analysis were presented descriptively and analytically.The results show that there is no legal regulation that regulates protection for Gojek drivers who experience fictional orders. But from the PT. Gojek provides compensation in the form of compensation money. However, this is not widely used by drivers, because the process of disbursing compensation money takes time, so the driver as the victim prefers to bring the results of the fictitious order himself or sell it to someone else.  Keywords: Protection, Transportation, Gojek

Diabetes is a serious chronic disease that occurs because the pancreas does not produce enough insulin (a hormone that regulates blood sugar or glucose), or when the body cannot effectively use the insulin it produces. WHO data shows that the incidence of non-communicable diseases in 2004 reached 48 , 30% is slightly higher than the incidence rate of infectious diseases, namely 47.50% [1]. According to the Ministry of Health in 2012 diabetes caused 1.5 million deaths. Some Indonesian people, this disease is better known as diabetes or blood sugar. This research was developed through secondary data processing from the Pima Indians Diabetes Dataset health database which was taken from the Kaggle dataset and can be accessed through https://www.kaggle.com/uciml/pima-indians-diabetes-database. Where the data itself consists of 768 records with several medical predictor variables (Pregnancies, Glucose, Blood Pressure, Skin Thickness, Insulin, BMI, Diabetes Pedigree Function, Age and Outcome). Then the data will be processed using the Particle Swarm Optimization (PSO) feature selection to increase the accuracy value and the Naive Bayes algorithm to determine the accuracy results of the diagnosis of diabetes. From the results of research that has been done for the accuracy of the classification algorithm Naive Bayes is 74.61%, while the accuracy of the classification algorithm with Particle Swarm Optimization is 77.34% with an accuracy difference of 2.73%. So it can be concluded that the application of the Particle Swarm Optimization technique is able to select attributes in the Naive Bayes Algorithm, and can produce a better level of diabetes diagnosis accuracy than using only the individual method, namely the Naive Bayes algorithm. Keywords: Diabetes, Particle Swarm Optimization, Naive Bayes Algorithm

Augmented Reality (AR) and Virtual Reality (VR) which are one of the top ten strategic technology trends for 2019 and continue to be developed massively in this 2020, have been widely applied in various mobile applications by many companies in this industrial revolution era 4.0. AR can be applied to help the promotion for housing developers where users can see the 3-dimensional shape of the types of houses offered, while VR allows users to explore each part of the house in a virtual 3D. Pre-existing brochures are used as markers for this application to work, so that AR and VR applications can be a complement to promotional media. The design method used in this paper is Research and Development (RnD). Salespeople can offer types of houses to prospective customers without having to print multiple brochures, but with just one brochure and one android smartphone to present, so the promotion costs are more efficient.   Keywords: AR, VR, house.

The purpose of this study is To determine the types of Birds (Aves) which can be used for the preparation of the learning media in the form of Interactive Multimedia Area of the National Park of Merbabu Mountain, Selo district, Boyolali Regency, The form of this research is RnD interactive multimedia, research Methods using point count method by applying random sampling in the taking of the shooting point. Data collection with the point count through the 4 replications. Large population is the entire Aves in the Area of Merbabu Mountain National Park.Results and conclusion the types of Aves found in the Area of Merbabu Mountain National Park as many as 12 Family 17 species and 156 individuals.Assessment of the third expert stated that the learning media in the form of interactive multimedia is Very Feasible to used as media of learning are valid. The application of learning media in the classroom by utilizing interactive multimedia as a teaching material at the time of learning according to the material or KD that have been written on the syllabus.          Keywords: identification aves, interactive multimedia, merbabu mountain national park.