Few prior studies have examined the social and environmental consequences of waste generation and recycling, resulting in a policy gap in the sustainability agenda. The research filled a knowledge vacuum in the literature by investigating the environmental repercussions of different waste generation and recycling processes in the Chinese economy. The study analyzed waste production and recycling statistics over the last 46 years, from 1975 to 2020, and their impact on the nation’s emissions per capita. This study used four primary approaches to determine the links between the examined variables, beginning with the unit root test, which identifies the stationary process of the variables’ underlying processes. Second, the autoregressive distributed lag (ARDL) model was used to produce the variables’ short- and long-run estimates. Third, estimations of Granger causality examined the causal relationships between the variables. Finally, innovation accounting matrices (IAM)were utilized to predict the relationships between variables during the following decade. The unit root estimates imply the mix order of variable integration; hence, it is appropriate to employ ARDL modeling for parameter estimations. The ARDL estimations demonstrate that combustible renewables and waste decrease a nation’s carbon emissions by boosting industrial waste recycling. Despite recycling systems, carbon emissions have escalated to uncontrolled levels owing to the massive production of municipal solid garbage. Sustainable waste management and recycling are vital to reducing carbon emissions. Granger’s estimations of causation imply that combustible renewables and waste and carbon emissions cause industrial and municipal solid waste recycling. Additionally, population growth is responsible for greenhouse gas emissions, biowaste recycling, and industrial waste recycling. Furthermore, this shows the two-way connections between combustible renewables and waste and carbon emissions, implying the need to develop green waste recycling strategies in a nation. The IAM method identified future relationships between variables, which aids policymakers in implementing sustainable waste management practices for a nation. This study concludes that the environmental consequences of waste generation and recycling impede the nation’s circular economy agenda, which can be sustained by knowledge spillovers, chemical reduction in manufacturing, and allocating a certain amount of US dollars to ecological resource conservation.

Background: Logistics operations are considered essential for transporting commodities from one location to another, helping to promote global economic activity. On the other hand, its negative impact eclipses its positive impact, namely the rise in healthcare expenditures due to its ecological footprint. Globally, rising out-of-pocket health expenses result from logistic-induced carbon emissions, posing a danger to the long-term viability of healthcare. Methods: Based on this critical fact, this study examined the impact of logistics operations on healthcare costs by controlling for carbon emissions, fuel imports, and economic development across a large cross-section of 131 nations by using the Robust Least Squares Regression. Results: The findings demonstrate a U-shaped association between logistical operations and healthcare expenditures, i.e., if there is a 1% increase in logistics operations, healthcare expenditures decrease by −2.421% initially, while at later stages, healthcare costs would increase by 0.139%. On the other hand, increased fuel imports and economic growth due to logistics activities are increasing healthcare expenditures with an elasticity estimate of 0.087% and 0.147%, respectively. According to the forecasting predictions, logistics-induced carbon emissions, fuel imports, and economic expansion will increase healthcare expenses. Conclusions: A sustainable logistics operation is critical for strengthening healthcare infrastructure and meeting the global carbon neutrality goal.

A capital market is a meeting place for stock sellers and buyers with the aim of getting maximum profits. To get these benefits, investors need information about the stock price index. Factors that influence the Stock Price Index are important information for investors. The composite stock price index (CSPI) is one of the main indicators that reflects the performance of the capital market whether it is experiencing an increase or is experiencing a decline. These factors include the rupiah exchange rate, GDP growth, and the Dow Jones index. This study aims to prove and analyze the effect of the rupiah exchange rate, GDP growth, and the Dow Jones index Average (DJIA) on the composite stock price index on the Indonesia stock exchange for the period 2012-2015. The population and sample of this study are forty-eight CSPI data from the Indonesia Stock Exchange. Data is collected by means of documentation and then analyzed. The data analysis technique used in this study is multiple linear regression analysis techniques. Based on the results of the analysis it is known that the rupiah exchange rate has no effect on the Composite Stock Price Index (CSPI). While GDP growth and the Dow Jones index Average (DJIA) have affected the Composite Stock Price Index (CSPI). For further research, it is considered necessary to review other factors that can influence the movement of the stock price index, for example, the company's fundamental factors such as profit, loss, financial ratios, and others. Keywords: Exchange Rate, GDP Growth, The Dow Jones (DJIA), Composite Stock Price Index (CSPI).

Penelitian ini bertujuan untuk menganalisis Pengendalian Kualitas Crude Palm Oil (CPO) dengan Menggunakan Metode Statistical Quality Control (SQC) pada PT. Sapta Karya Damai, Kalimantan Tengah. Metode yang digunakan yaitu pendekatan deskriptif kualitatif dan deskriptif Kuantitatif. Adapun hasil dalam penelitian ini yaitu 1) Data penyimpangan CPO menggunakan check sheet dapat dilihat bahwa dari 924 pengambilan sampel CPO terdapat sejumlah sampel yang mengalami penyimpangan, jenis kecacatan terbesar adalah pada kadar asam lemak bebas (FFA) (836), kemudian diikuti oleh kadar air (405) dan kotoran (449). 2) Perhitungan menggunakan control chart X̅ -S terdapat data yang masih berada di luar batas control statistik pada kadar asam lemak bebas (FFA) 3) Identifikasi menggunakan diagram sebab akibat (Fishbone Diagram) menunjukkan beberapa penyebab terjadinya kecacatan pada kadar asam lemak bebas (FFA), kadar air dan kadar kotoran. Rekomendasi dalam penelitian ini yaitu 1) Perusahaan diharapkan dapat melakukan pengawasan yang lebih intensif agar lebih teliti dan disiplin. 2) Perusahaan harus melakukan perawatan secara preventif pada mesin dan alat produksi, membuat tempat penerimaan TBS yang lebih baik dengan memberikan atap atau perlindungan kepada TBS. 3) Manajemen produksi perusahaan harus lebih memperhatikan setiap pembagian kerja Sumber Daya Manusia dalam melakukan proses produksi mulai dari bahan baku sammpai hasil produksi sesuai SOP, agar hasilnya lebih optimal, manajemen produksi sebaiknya meminimalisir faktor-faktor penyebab tinggi rendahnya nilai FFA, Moisture, dan Dirty agar sesuai dengan keinginan konsumen dan standar nasional, yakni Tandan Buah Segar (TBS), tenaga kerja, mesin dan peralatan, metode dan lingkungan.

The PosAja mobile application is a digital service owned by Pos Indonesia in the field of delivery. Despite being downloaded by more than 100K users, the PosAja application has experienced a decline in rating and application productivity. This research intends to represent user complaints through review data analysis and develop a more effective and efficient service science design based on user experience. The research method applied is descriptive quantitative with data analysis applying SVM to classify positive and negative sentiments from review data. Model evaluation was carried out by training the training and test data subsets 3 times with variations of k = 5, k = 7, and k = 10. The results showed that the best accuracy was obtained with an accuracy of 89.98% on the SVM_kernel Sigmoid parameter. Analysis of review data revealed that the sentiment of PosAja application users tends to be negative compared to positive sentiment on the Google Play Store. To improve user experience and satisfaction, service science design development should focus on continuous improvement and evaluation of the PosAja application.

This service activity aims to provide skills and creative ideas to the community in Rejosari RW 03, Benowo Village, Pakal District, Surabaya, by utilizing patchwork waste into items of economic value so that it is expected to be able to produce home industry that can increase family income. This community service activity used the Participatory Action Research (PAR) method. Through the sospeso technique, the remnants of cloth that should be thrown away could be processed into handicrafts that have economic value and become potential for creative industries. The evaluation was carried out during the training process through the involvement and abilities of the participants while post-training through the level of completion of the material that was evaluated by observing and examining the work as well as giving a question-and-answer questionnaire. The results of this service activity provided creative ideas to housewives of Rejosari RW 03 by utilizing patchwork waste into sospeso products that decorated and beautified the appearance of bags, wallets, sandals, and other household items. The brooch could improve the skills of housewives, increase family income and maintain a clean environment, and increase value (product selling value).