Bahrain still suffers from electronic solid waste annually due to ineffective waste ?disposal management. Compared to other Gulf Cooperation Council (GCC) countries, Bahrain ?generates the largest waste quantity per person, approximately 1.2 to 1.8 ?million tons of hazardous waste annually. Therefore, the present research article aims to manage the e-waste discarding mitigation by arranging the waste collection, ?presenting it for sale/purchase/donation (C2C, C2B, B2G), and organizing the waste recycling ?process. Derived from this aim, the article explores the e-waste ?phenomena and proposes the development of an e-waste mobile application named “Athar”. ? The significance of “Athar” lies in firstly, enabling citizens to live in a ?clean environment with limited diseases. Secondly, assisting the ?Ministry of Tourism attract more tourists. ? The research article embraces a seven-phased Agile-based SDLC method to analyze, design, implement, test, and evaluate Athar through the utilization of several research techniques, including questionnaires to collect user and system requirements, other techniques such as data flow diagrams, entity relationship diagram, ?database schema, etc. for the system design, ?OutSystems programming language to implement the mobile app, and one questionnaire based on ?Nielsen heuristics for usability evaluation. Findings demonstrate the adequacy of the Athar application with an outstanding usability score of 89.1%.

Objective: We aimed to explore that the association of irisin with various anthropometric and metabolic parameters in obese diabetics and non-diabetics Iraqi women. Methods: Eighty obese Iraqi women participated in this cross-sectional study grouped into 40 obese and 40 obese diabetics. The correlation coefficient between circulating irisin levels and metabolic parameters were performed. Results: Serum irisin levels in obese group showed highly significant positive correlations with body weight, WC, BMI, FPG, fasting insulin (FI), HOMA-IR and glucagon (r=0.8684, P> 0.0001 ; r = 0.8104, P> 0.0001; r = 0.8285, P <0.0001; r = 0.5876, P> 0.0001?; r = 0.5283, P> 0.0005?; r = 0.0005, P <0.0001; r = 0.5244, P> 0.0005) respectively,  and significant negative correlation ?with FPG, FI and HOMA-IR (r=-0.3246, P<0.041; r=-0.7903, P<0.0001; r=-0.6105, P<0.0001) respectively. Stepwise regression results showed that body weight, FPG, HOMA-IR and glucagon had significant independently related with irisin (?=?2.3150, P<0.0001; ?=-?1.2200, P=?0.0002; ?=?21.8760, P=0.02?; ?=?-20.9800, P<?0.005; ?=?0.0468, P=0.037) respectively. Conclusions: Irisin had a strong positive correlation with anthropometric parameters. Irisin independently associated with body weight, glucagon, HOMA-IR and FPG

Digital innovation offers myriad advantages to companies but also entails risks necessitating mitigation. To safeguard against adverse impacts on both the company and its consumers, adherence to legal obligations is imperative. Privacy and security risks pose potential economic, ethical, or legal ramifications for consumers and companies alike. The duty to safeguard personal data is shared between governmental bodies and companies, with the latter assuming primary responsibility as service providers. Ethical business conduct entails the protection of user data and transparent disclosure of data usage to users. Companies also need to consider human, technological, and environmental aspects before developing new technologies. Therefore, awareness from companies is needed to fulfill their digital social responsibility. The latest regulation is Law Number 27 of 2022 concerning Personal Data Protection. Personal data protection is one of the main focuses of Corporate Digital Responsibility (CDR) or Corporate Digital Responsibility. The CDR concept is an evolution of Corporate Social Responsibility adapted to the digital era. In CDR, companies are expected to adopt practices that consider digital culture. It can be an effective strategy to integrate business and government interests in efforts to protect digital users.

This study explored the impact of colorful pictures on vocabulary teaching effectiveness for students at TKK Santa Maria Tulungagung. Utilizing a pre-experimental one-group pre-test and post-test design, the research involved TKK Santa Maria Tulungagung students who engaged with colorful pictures. Analysis was conducted using the SPSS 27 statistical program. Findings indicated a significant improvement in vocabulary mastery among students using colorful pictures, with a two-tailed sig. value of 0.006, which is below the 0.05 threshold. The incorporation of colorful pictures not only enhanced understanding but also made the learning process more engaging and enjoyable. Consequently, colorful pictures are deemed an effective strategy for teaching vocabulary to kindergarten students. This research aims to assist teachers in selecting more innovative and efficient methods to enhance vocabulary acquisition at the early childhood education level.

Tujuan dari penelitian ini adalah untuk mengkaji efek jangka pendek dan jangka panjang dari impor dan ekspor terhadap pertumbuhan ekonomi Indonesia. Data sekunder studi ini, yang berasal dari Bank Dunia dan Badan Pusat Statistik, mencakup tahun 1999 hingga 2020. Pendekatan Model Koreksi Kesalahan (ECM) digunakan untuk analisis. Uji Stasioner, Uji R-Square, Uji F, dan Uji T digunakan untuk menguji model. Temuan ini menunjukkan dampak yang cukup besar dari faktor impor dan ekspor terhadap pertumbuhan ekonomi jangka pendek, dengan variabel impor signifikan pada tingkat signifikansi 10% dan variabel ekspor signifikan pada tingkat signifikansi 5%.

This article discusses counseling on the important role of marketplace platforms in helping product marketing in Bandung Village, Banjar District, Pandeglang Regency, Banten, Indonesia. The purpose of this counseling is to increase the understanding of the village community on how to effectively use the marketplace to expand market reach, increase sales, and support the local economy. With the development of technology, the use of marketplaces is a strategic solution in facing increasingly fierce market competition. This counseling provides practical guidance to local business actors on the steps to start an online business, digital marketing strategies, and tips for successfully selling on marketplace platforms.

This study aims to determine the effect of skipping practice on shooting results in football games at MTs Pui Kasturi. The research method used is an experiment with a quantitative approach. The subject of the study was students who were members of the school football team. Skipping exercises were given as an intervention over a period of time, and the shooting results were measured before and after the intervention. The results showed that there was a significant increase in shooting results after being given skipping exercises. This shows that skipping practice can be one of the effective methods to improve shooting skills in football.

Aborsi merupakan isu yang menjadi perdebatan dalam dinamika kehidupan sosial. Perdebatan aborsi didasari oleh beragam nilai dan norma yang berlaku di masyarakat. Salah satu faktor utama yang mempengaruhi adalah kerangka kebijakan hukum aborsi yang berlaku di Indonesia termasuk di Purwokerto. Pergeseran konstruksi sosial aborsi berkaitan dengan hak asasi manusia, kebijakan hukum, dan nilai moral sehingga dapat mengubah pandangan, pemahaman, dan perilaku masyarakat. UU yang dijadikan acuan adalah UU Kesehatan Tahun 2009 dan KUHP. Penelitian ini mendeskripsikan pergeseran konstruksi sosial aborsi di Purwokerto dengan sasaran pada pelaku aborsi, orang yang dekat dengan pelaku aborsi, serta masyarakat umum. Hasil penelitian menunjukkan tiga aspek utama: (1) perubahan pandangan dan pemahaman aborsi akibat nilai moral, situasi kehamilan, dan akses informasi budaya luar; (2) konstruksi sosial yang dipengaruhi kebijakan hukum seperti kriminalisasi dan pembatasan legalisasi aborsi; (3) bentuk pergeseran konstruksi sosial yang mencakup keterbukaan dalam membahas aborsi, kritik terhadap kebijakan aborsi, dan penerimaan pelaku aborsi di masyarakat.

The aim of this research is to explore and analyze the business metamorphosis of Villa Teras Kaca in Yogyakarta, as well as understand how the personal experiences of individuals or groups involved in the tourism industry in Yogyakarta influence their business strategy and evolution. Apart from that, this research also aims to explore how adaptation and innovation in the face of changing times and changing external conditions can help tourism businesses in Yogyakarta survive and develop. Another aim of this research is to explore how the changing dynamics of the tourism industry in Yogyakarta affects the Villa Teras Kaca business and how this business can adapt to these changes. The research will seek an in-depth understanding of how this business evolution occurred over time. This research will focus on business metamorphosis in the context of Villa Teras Kaca in Yogyakarta which is likely to be involved in accidental entrepreneurship in the tourism sector. The Life History method is a qualitative approach analysis used to trace the life journey or experiences of individuals or groups involved in the Villa Teras Kaca business. The research will seek an in-depth understanding of how this business evolution occurred over time. Through analysis using the Life History Method, research will reveal how changes in economic conditions, developments in the tourism industry, or certain events, including the possible role of accidental entrepreneurship, have influenced the business of Villa Teras Kaca.

The policy for using the MyPertamina application issued does not rule out the possibility of differences of opinion due to changes in the policy. There are many positive, neutral, and negative responses to the MyPertamina application implementation policy. To see the public's reaction to the MyPertamina application implementation policy, it can be seen through various media, including social media. Twitter is a social network that is widely used by people in Indonesia. The number of Twitter users in Indonesia reached 18.45 million in 2022, making Indonesia the fifth largest Twitter user country in the world. Researchers conducted a sentiment analysis of the search results for tweets containing the keyword "MyPertamina" using the support vector machine algorithm. 382 tweet data were obtained and classified using the support vector machine algorithm. Support vector machine is a supervised learning algorithm for data classification. SVM is very fast and effective in solving text data problems. Text data is suitable for classification with the SVM algorithm because the basic nature of text tends to be high-dimensional. Of the 382 data analyzed, the support vector machine classification using the RBF kernel with parameter C=2 gave the highest accuracy value of 80.51%, precision value of 81%, recall value of 81%, and F1 score value of 80%.