Porang flour, extracted from the tuber of the porang plant (Amorphophallus muelleri), is known as a food ingredient rich in fiber and low in calories. This study aims to measure the crude fiber content in porang flour tested at the Food and Agricultural Product Technology Laboratory, Faculty of Agricultural Technology, Universitas Gadjah Mada. Based on the analysis, the average crude fiber content in porang flour was found to be 0.79%, with a standard deviation of 0.02%. However, no crude fiber content was found in the porang flour gel sample. These findings provide important insights into the potential of porang flour as a fiber source in the development of food products. The results also demonstrate product quality consistency, which can serve as a foundation for the development of healthier food industries.

LP is one of the pharmaceutical companies located in Serang, Banten. The production of the company is tablets, capsules, and syrup. Problems that occur at PT. LP is a product defect that occurs in capsule filling, especially in capsule A. The purpose of this study is to determine the defective products that occur in capsule A and to find out the proposed improvements that will be made to reduce product defects in capsule A. The research methods used are Statistical Process Control (SPC)  and Fuzzy Failure Mode and Effect Analysis (F-FMEA). The population and samples used were defective capsule A during the production process from March 2022 to May 2023, with sampling techniques through production data, observation and interviews. And the results of research using a check sheet show that the percentage of defects reaches 6%, based on the pareto chart, the priority of improvement that needs to be done is for the dominant type of defect, namely  the dented capsule reject reaches 90%, and on the control chart there are still control points that are outside the UCL and LCL. FMEA calculations, the RPN value of the capsule is dented on the head of the capsule or capsule body reaches 384, and the FRPN value is 6.76.

 
 

Quality improvement can be achieved by making innovations in the development of rubber asphalt material. This research was conducted to determine the effect of adding natural rubber as an additive to the wear-resistant Laston mixture (AC-WC). This study made 33 total samples, which were divided into 18 conventional asphalt mixtures and 15 rubber asphalt mixtures, with normal asphalt variations ranging from 5.5% - 8% and for rubber with variations of 5% - 7% of optimum asphalt weight, respectively each with an interval (0.5 %). It was mixed using a wet process. Based on the 2018 General Highways Specifications, Optimum Asphalt Content (OAC) was obtained at 7.5% and Optimum Rubber Content (ORC) at 6%. The test results for the stability and melting values of normal asphalt were 1786.22 kg and 3.56 mm, while the tests for the stability and melting values for rubber asphalt were 1181.22 kg and 3.6 mm. It can be interpreted that adding this rubber content increases the stability of the value 2x greater than the point where the stability value falls on the normal asphalt content variation of 8%. 

Exclusive breastfeeding for infants 0-6 months in Bekasi Regency in 2021 was 72.59%. The results of preliminary studies based on the results of interviews, there has been no handling of increasing breast milk volume production with the marmet technique. The purpose of UNU's research is to determine the effect of marmet technique on breast milk production in postpartum mothers at TPMB R, Cibitung in 2023. Pre-experimental research method, one group pretest posttest. The population amounted to 30 postpartum mothers with a research sample of 30 respondents, with total sampling. Research instrument observation sheet of breast milk volume. Univariate analysis and bivariate analysis with Wilcoxon test. The results of the study found that postpartum maternal milk production before marmet technique intervention was given, milk production with less category as much as 73.3%, while after marmet technique intervention milk production with less category as much as 40%. Wilcoxon test results obtained p-values of 0.002 < ? 0.05. The conclusion of this study is that there is an effect of giving marmet techniques on postpartum mother's milk production.

Quick response code adalah matriks dua dimensi yang dapat menyimpan informasi dalam empat mode pengkodean berbeda. QR Code menawarkan kemudahan dan kecepatan dalam menyimpan dan mengakses informasi sehingga dalam implementasinya terbatas pada penyematan informasi singkat seperti kode produk, tautan  website ataupun kode pembayaran. Pada perkembangannya, QR Code seharusnya dapat mengubah kebiasaan manusia dalam menyimpan informasi akan tetapi hal ini sulit dilakukan karena QR Code memiliki batasan karakter bergantung pada metode pengkodean. Oleh karena itu tujuan dari penelitian ini adalah untuk mengoptimalisasi kapasitas informasi pada QR Code dengan mengkombinasikan  algoritma Huffman dan metode  Rivest Shamir Adleman. Hasil penelitian menunjukan bahwa metode yang diusulkan yaitu flowchart QR Code Generator dan QR Code Reader dapat mengoptimalisasi kapasitas informasi pada QR Code sebesar 81% . Hal ini menunjukan bahwa QR Code versi 40 dengan level L yang memiliki batasan 4296 karakter alfanumerik, dapat dioptimalkan sampai dengan 7775 karakter alfanumerik. Oleh karena itu kesimpulan dari penelitian ini adalah metode yang diusulkan yaitu flowchart QR Code Generator dan QR Code Reader tidak hanya dapat mengoptimalkan kapasitas informasi pada QR Code tapi juga dapat mengamankan informasi yang disematkan pada QR Code dengan tidak mengorbankan kecepatan pemrosesan saat pemindaian.

The increasing development of technology and increasing buying and selling activities require every business owner to adapt to technological developments, for business owners selling or processing sales data is very important as is done by PT.XYZ household furniture items such as tables, chairs, dressers, wardrobes, sofas and many more, where sales data is still done manually, such as a lack of reviewing what products consumers need and ineffective data storage. To overcome this problem the researcher tried to implement it using one of the methods available in data mining, namely the K-Means Algorithm. –certain data groups (clusters). So, by grouping this data, the company can find out which items are selling best and which are not selling well. So that the goods in the warehouse do not pile up. From this research, the resulting output is 5 of the best-selling items, and 5 of the least-selling items. With the data processing carried out, it is hoped that it can provide solutions to the company so that they can find out which items are the best-selling and best-selling items.

The alpha generation is the generation born in 2011 and is expected to end in 2025. This generation is also called the digital generation. This alpha generation was raised in the technological era and also has a very important influence on the progress of the times. His upbringing must also receive special attention, especially from those closest to him, namely parents. Ideal parenting for the alpha generation needs to be implemented by parents. The type of research we use is qualitative research. Where data is collected by means of interviews, documentation and observation. And then conclusions are drawn regarding ideal parenting for the alpha generation. The results of this research show that there is a very close relationship with ideal parenting and the alpha generation. This is shown by the results of interviews that we have conducted that many parents complain about their children's attitudes, and parents lack understanding about parenting.

Climate change is driven by a combination of natural fluctuations and human activities, particularly the widespread use of fossil fuels (such as coal, oil, and natural gas) and alterations in land use practices such as logging, farming, and clearing land for agriculture. This global phenomenon encompasses various end-of-use activities, including agriculture, forestry, and consumerism. An inherent challenge in the global carbon dioxide (CO2) trading landscape lies in the competition between developed and developing countries, stemming from inconsistent CO2 prices. This competition manifests in three primary areas. Firstly, in the context of internationally transmitted mitigation outcomes, involving international trade aimed at surpassing Nationally Determined Contributions (NDC) targets. Secondly, it pertains to sustainable development mechanisms, specifically the use of carbon offsets derived from projects implemented by both public and private entities worldwide. The third aspect revolves around non-market approaches, encompassing emission reduction through mitigation and adaptation efforts, financial support, technology transfer, and capacity building, which may involve tools like carbon taxes and Carbon Border Adjustment Mechanism (CBAM). This research adopts a legal norm perspective, delving into methods that investigate, describe, synthesize, interpret, evaluate, and analyze positive approaches. The findings signify a paradigm shift aligning with the "polluter pays principle," recognizing that entities and individuals responsible for environmental pollution should bear the associated costs. In the quest for a new paradigm of sustainable development, a carbon market ecosystem assumes a pivotal role. This ecosystem contributes to enhancing sustainability by curbing greenhouse gas emissions and offering economic incentives to address climate change. It acts as a cornerstone in constructing a fresh paradigm for potential development.

Akhlak degradation or moral degradation is at the foundation of a variety of problems and social issues in society during one's life. Moral degradation develops as a result of entering digital spaces, as shown by the presence of Instagram as a digital social media. As a result, discovering a solution to this problem becomes a priority. This study aims to provide a solution to the phenomenon of moral degradation in Instagram by exploring the concept of morality based on Sufism values, by determining the formulation of the problem including a description of moral degradation in Instagram, Sufism and morality in Islam, and the concept of akhlakul karimah based on sufism values. This study uses a qualitative approach with descriptive methods, as well as literature study as a data collection technique. The findings of this study explain the phenomena of moral degradation on Instagram, which generates a whole slew of issues. Furthermore, this research explains Sufism and morality in Islam, as well as their integration in the concept of morality based on Sufism values through various exercises and efforts as a resolution to moral degradation on the social media platform Instagram.

This study aims to analyze the project-based learning model on learning outcomes in class XII Manufacturing Engineering Drawing subjects at SMK Semen Padang. The type of research used in this study is Quasy experimental using one experimental class and one control class. The study involved 20 experimental class students and 20 control class students. Data was collected with test questions in the form of pre-test and post-test to determine learning outcomes in aspects of Knowledge (cognitive), and assessment of student performance to determine learning outcomes in aspects of skills (psychomotor). Analyze the initial data to determine the average of the classes to be used for the determination of the experimental class and the control class. The final data analysis used is the T test. The results showed a significant influence on learning outcomes using a project-based learning model. The results of the T test on the Post-test results obtained a sig (2-tailed) value of 0.004 which is smaller than 0.05 with an average percentage of 71.8 in the Experiment class and 65.1 in the control class. For the T Test on student performance assessment, a sig (2-tailed) value of 0.027 is obtained which is smaller than 0.05. Both T-tests prove that project-based learning models can provide better learning outcomes.