Integrative Negotiation Framework Case Study: “RUMAH DINAS TNI-AD-SBSN 2021 Project in CIRACAS”

WIKA WG KSO is a joint company between PT. WIKA and PT. WEGE, which is engaged in the construction sector, is a temporary limited liability company that was deliberately built to complete the TNI-AD RUMDIS project which is located in 36 areas in Indonesia. One of the project areas is in Ciracas, East Jakarta, which was chosen by the author as the research subject. The location of the research project is in a residential area, so the construction process is carried out in the same place as the community’s activity and mobility area, which in turn raises several issues and criticisms.

The purpose of this research is to analyze the problem solving conducted by PT. WIKA WG KSO, the process taken, until the results obtained from solving problems that have been carried out, as well as to identify alternative methods that can be carried out by PT. WIKA WG KSO to get the best results. The author proposes the interactive negotiation method as a recommendation to achieve a win-win solution that is fair for both parties.

Based on the research that has been done, the authors conclude that there are several methods of integrative negotiation that can be carried out by PT. WIKA WG KSO to achieve a fair and profitable end result for PT. WIKA WG KSO and local residents affected by the TNI-AD RUMDIS development project.

Improving the Effectiveness of Business Banking Loan Processing and Cross-Selling Activity Using Systemic Design Thinking Case Study: Bank Dewangga Indonesia (BDI)

Technology and Digital Transformation have been growing swiftly, and the world seems borderless with the existence of the internet. This is undeniably affecting all of the industries in the world, and the banking industry is a part of it. Currently, the customer prefers to do it whenever and wherever they are, of course with the help of the internet. It also occurred in loan processing. The faster the services and processes, the more loyal the customer is to the bank, and the more profit that the bank will gain. BDI, as one of the State-Owned Companies in Banking, has been trying to transform the business process from a traditional way to a digital bank that can seamlessly accommodate all customer needs. BDI is aware that depending on loan products is not sustainable for the business; once the business in a country falls like it was at the beginning of Covid-19, the company could not avoid the negative impact, the loan quality was declining, and of course, the profit is shrinking compared to previous years. This research aims to identify BDI’s effectiveness in business banking loan processing and cross-selling activity. It will also assess which part of the business systems can be improved or even transformed into new business processes. The business process is quite complex and related to each other; for this qualitative research, the author uses the systemic design thinking method with six main processes: inquiring, framing, formulating, generating, facilitating, and reflecting. The result of the study found that the current business banking loan processing and cross-selling activity is not fully effective and not optimal to support and compete in the market. In the conclusion, author also listed some recommendations to improve the effectiveness of loan processing and cross-selling to lift the company’s profit.

The Effect of Quality, Brand Trust, and Brand Image of Cataflam™ on Patient Loyalty: a case study on K24 Pharmacy Yogyakarta

The success of a business is determined by how high consumer loyalty is to the brand owned by the business. High consumer loyalty is determined by product quality, brand trust, and brand image. Cataflam™ as one of the trademarks of a group of pain relievers belonging to the category of non-steroidal anti-inflammatory drugs (NSAIDs). Currently in almost all pharmacies, Cataflam™ is considered the best selling pain reliever compared to other brands. This study aims to observe the effect of product and packaging quality, brand trust, and brand image of Cataflam™ on patient loyalty at Apotek K24 Yogyakarta. Descriptive research method was carried out with student t-test to see the relationship between variables on patient loyalty. The convergence analysis of the questionnaire was proven by loading factor and AVE value, while the reliability analysis of the questionnaire was proven by Cronbach’s alpha and composite reliability (CR). Descriptive data collected from 100 patients showed that the questionnaire was reliable and converged with a loading factor of 0.773 to 0.959; AVE value 0.657 to 0.832; Composite Reliability (CR) value 0.884 to 0.933; and Cronbach’s alpha value 0.825 to 0.899. The results of the student t-test analysis showed that all p-values were less than 0.05. The conclusion of this study is that the quality, brand trust, and brand image of Cataflam™ as a pain reliever have an effect on patient loyalty.

Pharmacological Review on Purification of Visha Dravyas (Poisonous Plants) According to Ayurveda

Visha possess properties of Vyavayi(Pervading or diffusing action), Vikasi(Dispersed through out the body causes destruction of Ojas and Dhatu Kshaya or depletion of the body tissues, Ushna(Heat), Teekshna(Penetrating), Ruksha(Dry), Sukshma(Minuteness), Ashukar(Quick or immediate action), Vishada(Clearness), Laghu(Light), Avyakta Ras(Taste sometimes palatable and sometimes not palatable or the taste is hidden) and Apaki(Not digestible). It distributes in the whole body immediately first and later undergoes digestion. Hence causes the vitiation of Dosha(VataPittaKapha) and Dhatu(RasaRaktaMamsaMedaAsthiMajjaShukra) and produces the poisonous effects. The drugs which act against and subside poisonous effects on the vitiated Dosha(VataPittaKapha) and Dhatus viz; Rasa(Plasma), Rakta(Blood), Mamsa(Muscle tissue), Meda(Fat), Asthi(Bones), Majja(Bone marrow), Shukra(Semen) are called as Vishaghna Dravyas. Visha has been defined as a substance which is destructive or life threatening and causes Shoka(Sadness). There are many poisonous drugs described in Ayurvedic classics along with their antidotes and their pharmacological actions after purification. Poisonous plants may be categorized under the chemical structure of the toxic constituents, their phylogenetic relationship viz; plants that are poisonous to eat, plants that are poisonous upon contact, plants that produce photo sensitization, and plants that produce airborne allergies conditions in the body. The phytotoxins, comprise a vast range of biologically active chemical substances, such as alkaloids, polypeptides, amines, glycosides, oxalates, resins, toxalbumins. The present review describes the different process of detoxification or purification methods (Sodhana) in Ayurvedic system of medicines. So here an attempt is made to screen the Visha Dravyas(Poisonous plants) and their purification methods in various media along with their Rasa, Guna, Veerya and Vipaka, Prabhava from the various Ayurvedic classical texts along with their pharmacological actions.

A Picture of People’s Behavior and Economy during the Covid-19 Pandemic

The group of people most vulnerable to the economic impact of the Covid-19 pandemic is the people with income generated from daily income. In addition, the positive impact of this pandemic is an opportunity for Indonesia to be able to strengthen the domestic economy because the government will prioritize and strengthen purchasing power in the country only so that investment remains stable.  Therefore, this research aims to find out the picture of people’s behavior and economy during the Covid-19 pandemic.  The method used in this article is the study of literature, where a study whose research object is in the form of literature works, whether in the form of scientific journals, books, articles, or statistical data that have existed before. The nature of this article is descriptive analysis, where researchers provide education and understanding to readers.  The spread of the Covid-19 virus has an impact both directly and indirectly on the community and certainly pays enough attention to the government. As for the impact arising from the Covid-19 pandemic on people’s behavior and economy, namely social restrictions, people are required to wash their hands often, wear masks, people’s incomes are decreasing, many economic activities are closed, the economy of the community and the region decreases, the market price of produce decreases, and basic needs are increasingly soaring from normal prices.

Review of Artificial Intelligence: A Driver of Unemployment or Navigation towards a Prospective Future?

Artificial intelligence has swiftly penetrated our lives that eased our way of life. With its massive utility in healthcare, education and other commercial sectors, AI has evolved as a boon to the world. Nevertheless, atomisation has resulted in large-scale job loss, retrenchment and unemployment, substituting human labour, resulting in controversies about the significance of advanced technological progressions. This study argues about the extent to which AI has led to unemployment changing the macroeconomics versus the new job opportunities opened by AI and other technological developments, augmenting productivity level and improving quality of service delivered.

The Effect of Brand Image, E-Service Quality, and Customer Value on Decisions to Use Traveloka in Semarang

Traveloka’s existence in Indonesia makes it one of the major online travel agents that are in demand by the Indonesian people to fulfill their travel needs. However, in the last few years there has been a tendency to decrease in sales as indicated by data on the decrease in the percentage of sales in 2016-2020. This study aims to determine the effect of brand image, e-service quality, and customer value on purchasing decisions at Traveloka online travel agents. This type of research is explanatory research with sampling using non-probability sampling technique. Data collection is done by using google form. The sample used is 100 respondents who have used purchases at Traveloka online travel agents in Semarang City. This research uses validity test, reliability test, relation coefficient, coefficient of determination, simple regression, multiple regression, t-test significance, and f-test supported by SPSS. The results obtained in this study are brand image, e- service quality, and customer value, which individually or collectively affect purchasing decisions at Traveloka online travel agents. Based on the results of the analysis that has been carried out, the researchers suggest Traveloka to improve the platform design, optimize services for Traveloka users’ complaints and provide a fast and personalized response. Companies are advised to provide training, direction, and attention to customer service in order to provide the best service. In addition, it is recommended to improve service quality intensively so that the benefits (results) obtained by buyers/users are in accordance with the effort and costs incurred, evaluate customer experience, and optimize the recommendation feature.

The Study of Teenage Stress of Pet Owners and Non-Pet Owners during the COVID-19 Pandemic

In December 2019, the new coronavirus outbreak forced many countries to quarantine in their own homes. It can cause a lot of stress. For example, the increasing number of infected people makes us anxious. This leads people to find ways to relieve stress. In this research, we analyzed whether raising animals could really help reduce stress. We collected information from pet owners and non-pet owners who are between 13 and 19 years old using an online questionnaire. Survey samples were selected through a volunteer sampling method with a total of 120 responses. We analyzed data using the Statistical Package for Social Science (SPSS). The results of the analysis showed different outcomes for stress in the teenage pet owners and non-pet owners during the COVID-19 pandemic. However, there was no different outcome in the aspect of attitudes toward pets between pet and non-pet owners. Our results revealed that the stress of non-pet owners was higher than the pet owners. Therefore, people who keep pets experience less stress from quarantine during the coronavirus outbreak than those who do not keep pets during quarantine. Our analysis revealed that the attitude toward pets of pet owners and the attitude toward pets of non-pet owners were very similar and still above the mean attitude toward pets of pet owners and non-pet owners are both at a good level.

A Study of Trust Base Voluntary Tax Compliance through Tax Administration Digital Transformation in Indonesia

Over the last decade, Indonesian Tax Authority, DGT (Directorate General of Taxes) has introduced digital transformations on tax administration as a part of Tax Reform in Indonesia. These practices were done to improve taxpayer trust and tax compliance. The objective of this study is to look into the relationship between tax administrations’ digital transformation on trust, as well as taxpayers’ tax compliance decisions. We emphasized on Indonesian taxpayers’ perceptions of fairness and voluntary tax compliance following the digital transformation of tax administrations. An online questionnaire was distributed as part of this study’s survey approach. To collect samples from all throughout Indonesia, the online survey used a Google form. Indonesian taxpayers were used as the study’s population. A simple random sample strategy was used in this study. Structural equation modelling (SEM) was utilized to examine the collected data. The result was that tax administration’s digital transformation has a positive impact on voluntary tax compliance.

A Self-Learning Object Detection Method Based on Highly Reliable Sample Mining

Visual object detection is an artificial intelligence technique that locates specific objects from images, which is of great significance for practical applications. However, training general object detection models require many manually annotated images, bringing more labour and time cost. In order to improve the adaptability of the object detection model to the data environment changes, this paper proposes a self-learning object detection system based on high-reliability sample mining. We first train a SampleNet that can better mine reliable training samples from unlabeled data. We then use the combination of SampleNet and the basic object detection model to build a complementary residual training framework, continuously improving the sample mining ability and object detection tasks during the training process. The experimental results show that SampleNet can stably provide reliable pseudo samples for model training, and the complementary residual training framework improves the performance of basic object detection tasks.