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Pengembangan Limbah Produk Plastik Ecopave: Peluang Ekonomi Berkelanjutan
Get PDFEcopave is a recycled product developed from the processing of single-use plastic waste. It serves as one of the solutions to reduce waste and implement the concept of a circular economy by utilizing waste as a resource to produce new products. This research aims to analyze and determine whether Ecopave can be successfully realized. The study employs a qualitative approach and utilizes primary data. The analytical technique used is descriptive qualitative. Data was collected through in-depth interviews, observations, and literature review. The data analysis techniques employed include data reduction, data triangulation, data presentation, and conclusion drawing. The findings of this research provide evidence of whether the creation of Ecopave products can reduce the amount of waste and create a healthy environment. This study also indicates that Ecopave still faces challenges in terms of raw material input and product marketing. However, on the other hand, Ecopave has good long-term prospects of becoming an environmentally friendly product with good quality and affordable prices
PEMETAAN EFEK SPASIAL KEMISKINAN DI KABUPATEN GROBOGAN
Get PDFThis study aims to analyze the spatial pattern of poverty in Grobogan Regency and identify priority areas for intervention based on spatial relationships. The data used were village-level poverty statistics analyzed using the Queen Contiguity method to determine neighborhood relationships. Spatial autocorrelation tests were conducted using Moran’s I and Local Indicators of Spatial Association (LISA). The results show a Moran’s I value of 0.27, indicating a positive spatial autocorrelation with a weak to moderate strength. The LISA test identified 45 villages with significant spatial autocorrelation, with High-High clusters concentrated in the southern and northeastern areas, forming contiguous pockets of poverty. These patterns suggest the need for poverty alleviation policies that consider spatial characteristics and inter-village relationships, thereby ensuring that interventions are more targeted and effective in reducing poverty disparitie
Pengembangan E-Modul Berbasis Potensi Lokal Berbantuan Google Sites Untuk Mengembangkan Literasi Sains Siswa: The Development of Local Potential-Based E-Module Assisted by Google Sites to Develop Students’ Science Literacy
No full textScience literacy skill is one of the 21st-century skills that a person must master to adapt to the changing dynamics of life. However, the level of science literacy among students in Indonesia remains low. Therefore, this research develops e-module that utilizes the potential of Kemiri Village to enhance students' science literacy skill. This research aims to describe the validity and readability of local potential-based e-module. The stages of e-module development are adapted from the ADDIE model, but only up to the development stage. The subjects of this research consist of 3 science teachers and 10 ninth-grade students from SMP Negeri 1 Panti. Based on the results of the validity test, the local potential-based e-module has a very valid category with content and construct validity percentages of 89.58% and 92.16%, respectively. The readability level of this e-module is also very good with a percentage of 90.94%. From the research conducted, it can be concluded that the local potential-based e-module is easy to understand and suitable for application in the science learning process.Scientific literacy skills are very important to face the challenges of the 21st century, but in Indonesia these skills are still relatively low. Therefore, teaching materials are needed that can develop students' scientific literacy. This research is development research which aims to describe the validity and readability of e-modules based on local potential. This e-module was developed by utilizing the potential of Kemiri Village to develop the scientific literacy of students at SMP Negeri 1 Panti. The e-module development in this research applies the ADDIE model which includes analysis, design and development stages. Research data was collected through interviews, validation sheets, and readability sheets. The validity test results show that the local potential-based e-module is included in the very valid criteria with a validity percentage value reaching 91.42%. The readability test results show that the local potential-based e-module is included in the very good criteria with a readability percentage value reaching 90.94%. From the results of the research conducted, it can be concluded that e-modules based on local potential are easy to understand and suitable for use in science learning
Sistem deteksi pada transformator menggunakan Dissolved Gas Analysis (DGA) dengan metode Logistic Regression
Get PDFPenelitian ini membahas implementasi sistem deteksi kegagalan pada transformator menggunakan analisis gas terlarut Dissolved Gas Analysis (DGA) dengan menerapkan metode Logistic Regression. Tujuan penelitian ini adalah membuat sistem yang dapat meningkatkan keandalan transformator, mengurangi risiko gangguan listrik, dan memberikan kontribusi pada praktik industri berupa penerapan metode yang efisien dalam pemeliharaan transformator daya. Penggunaan data DGA dari transformator yang mengalami berbagai tingkat kerusakan sebagai sampel pelatihan dan pengujian menunjukkan bahwa Logistic Regression memberikan performa yang sangat baik dengan tingkat akurasi, presisi, F1-Score, dan recall berturut-turut sebesar 97%, 97%, 97%, dan 97%. Hasil ini mencerminkan kemampuan metode ini dalam mengklasifikasi hasil positif dan negatif. Sementara itu key gas memiliki akurasi, presisi, dan F1-Score yang rendah (42%, 17%, dan 24%), Recall 42% yang sedikit lebih tinggi menunjukkan kemampuan metode ini untuk mendeteksi sejumlah besar positif aktual, tetapi dengan tingkat kesalahan yang lebih tinggi. Penemuan ini berpotensi meningkatkan keandalan sistem tenaga listrik melalui pemeliharaan dini dan deteksi tepat waktu terhadap potensi masalah pada transformator.This research discusses the implementation of a failure detection system in transformers using dissolved gas analysis (DGA) and the Logistic Regression method. The Logistic Regression method was chosen as a classification tool to identify gas patterns that could indicate critical conditions in the transformer. This research aims to create a system expected to increase transformer reliability, reduce the risk of electrical disturbances, and contribute to industrial practice in implementing more efficient methods for maintaining power transformers. From the training and testing DGA transformers data experiencing various levels of damage show that Logistic Regression provides excellent performance with accuracy, precision, F1-Score, and recall of 97%, 97%, 97%, and 97%. These results reflect a remarkable balance between this method's ability to classify positive and negative results. While Key gas has low accuracy, precision, and F1-Score (42%, 17%, and 24%), The recall value of 42% shows the ability of this method to detect a large number of actual positive data but with a higher error rate. Overall, these findings can potentially improve the reliability of the electric power system through early maintenance and timely detection of potential problems with transformers
THE SEPARATION AND DIVISION OF POWERS IN THE APPELLATE BODY OF THE WORLD TRADE ORGANIZATION
Get PDFWorld Trade Organization dalam kompleksitasnya, membangun sebuah sistem hukum perdagangan yang lengkap dengan berdasar kepada konsensus sebagai metode pengambilan keputusan. Dalam kapasitas tersebut, WTO membagi kekuasaannya ke dalam fungsi-fungsi yang dijalankan oleh alat kelengkapan tersebut. Peristiwa penolakan penunjukan anggota Appellate Body oleh Amerika Serikat menjadi fenomena bom waktu yang mengungkap adanya celah dalam pembagian dan pemisahan kekuasaan tersebut, yang dapat disebut permasalahan prosedural dalam tubuh WTO. Tulisan ini bertujuan memberi analisa terhadap posisi Appellate Body dalam WTO secara struktural dan normatif, serta mengenai sebab dan akibat hukum penolakan Amerika Serikat terhadap penunjukan anggota Appellate Body. Penelitian ini menggunakan metode penelitian normatif dengan pendekatan konseptual dan pendekatan perundang-undangan, menggunakan prinsip dalam konstitusionalisme dan hukum organisasi internasional untuk sampai pada kesimpulan bahwa WTO perlu mereformasi bentuk ajudikasi Appellate Body menjadi ajudikasi penuh dan pemilihan hakim Appellate Body yang dijalankan dengan konsensus terbalikOwing to its complexity, the World Trade Organization (WTO) has built a complete system of trade law based on consensus as a decision-making method. The WTO divides power into functions performed by organs. The rejection of the Appellate Body appointment by the United States became a ticking time bomb that revealed a gap in the division and separation of powers, which can be called a procedural problem within the WTO. This paper aims to structurally and normatively analyze the position of the Appellate Body in the WTO, as well as the legal causes and consequences of the United States' rejection of the appointment of Appellate Body members. This study uses normative research methods with a conceptual approach and a statutory approach, to conclude that the WTO needs to reform the form of the Appellate Body adjudication to full adjudication and the election of Appellate Body judges by reverse consensus
The role of psychological aspects to measure Indonesian cryptocurrency investor behavior
Get PDFIndonesia merupakan salah satu negara yang mengalami pertumbuhan tingkat investasi cryptocurrency. Studi ini mengevaluasi aspek psikologis yang berdampak pada perilaku keuangan investor cryptocurrency di Indonesia. Studi ini menggunakan pencarian sensasi dan kecerdasan emosional sebagai anteseden untuk mengukur perilaku keuangan. Kami mengusulkan hubungan antara kualitas informasi yang dirasakan dan perilakukeuangan yang belum pernah dilakukan sebelumnya. Paradigma penelitian ini adalah kuantitatif-eksplanatori. Populasi statistik terdiri dari investor cryptocurrency di Indonesia sepanjang tahun 2022 sebanyak 16,7 juta orang. Sampel terdiri dari 384 responden yang diberikan kuesioner tertutup melalui platform media sosial. Data yang terkumpul dianalisis dengan menggunakan software SPSS versi 25. Hasil penelitian membuktikan bahwa semua hipotesis yang diajukan diterima. Kajian ini secara umum menunjukkan gambaran perilaku investor cryptocurrency Indonesia dari perspektif psikologis. Temuan penelitian menunjukkan bahwa pencarian sensasi, kecerdasan emosional, dan kualitas informasi yang dirasakan secara langsung dan signifikan mempengaruhi perilaku keuangan.Indonesia is one of the countries experiencing growth in cryptocurrency investment. This study evaluates the psychological aspects that impact the behavioral finance of cryptocurrency investors in Indonesia. This study uses sensation-seeking and emotional intelligence as antecedents to measure behavioral finance. We propose a relationship between perceived information quality and behavioral finance that has never been done before. The paradigm of this research is quantitative-explanatory. The statistical population consists of cryptocurrency investors in Indonesia throughout 2022, as many as 16.7 million people. The sample comprised 384 respondents who were given closed questionnaires through social media platforms. The data were analyzed by using SPSS software version 25. The results of the study proved that all the hypotheses proposed were accepted. This study generally shows a picture of the behavior of Indonesian cryptocurrency investors from a psychological perspective. The research findings show that sensation-seeking, emotional intelligence, and perceived information quality directly and significantly impact behavioral finance
The The Effect of Problem Posing on the Learning Achievement & Mathematical Reasoning Ability
No full textThis research is a quasi-experimental research that uses one experimental class and one control class. The experimental class used problem posing, which was SDN Madusari I, and one control class was not given treatment, which was SDN Potrojayan. This research focuses on students' learning achievement and mathematical reasoning abilities which are measured using test instruments in the form of short answer questions and essay questions. This research aims to describe: 1. the influence of the Problem-posing approach on the learning achievement of class V students, 2. the effect of Problem-posing on the mathematical reasoning abilities of class V students. The hypothesis test used is a univariate test. The research results show that, 1. Asking problems has no effect on learning achievement with a significance value of 0.067 (p > 0.05), 2. Asking problems has no effect on mathematical reasoning abilities with a significance value of 0.393 (p > 0.05). Based on the results of the analysis, problem formation creates obstacles for students, namely the difficulty of understanding the meaning of the problem and confirming it. The application of problem poses to influence learning achievement and mathematical reasoning abilities was not successful so other alternatives can be considered for further research.
Matematika masih menjadi salah satu mata pelajaran yang dianggap sulit oleh siswa. Khususnya bagi siswa sekolah dasar yang masih terbatas pada tingkat abstraksi. Tingkat abstraksi siswa erat kaitannya dengan kemampuan penalaran matematis. Kemampuan penalaran matematis ini juga mempengaruhi prestasi belajar siswa secara keseluruhan. Salah satu pendekatan yang digunakan untuk meningkatkan kemampuan penalaran matematis dan juga prestasi belajar adalah dengan problem forming. Pendekatan ini memiliki tiga langkah utama yang dapat merangsang abstraksi siswa. Tiga langkah tersebut adalah menyajikan masalah, memecahkan masalah, dan membuat kesimpulan. Tujuan penelitian ini adalah untuk mendeskripsikan: 1. pengaruh pendekatan Problem Posing terhadap prestasi belajar siswa kelas V, 2. pengaruh Problem Posing terhadap kemampuan penalaran matematis siswa kelas V. Penelitian ini merupakan penelitian kuasi eksperimen yang menggunakan satu kelas eksperimen dan satu kelas kontrol. Kelas eksperimen menggunakan problem pose yaitu SDN Madusari I dan satu kelas kontrol tidak diberikan perlakuan yaitu SDN Potrojayan. Prestasi belajar dan kemampuan penalaran matematis diukur dengan menggunakan instrumen tes berupa soal jawaban singkat dan soal esai. Hipotesis yang digunakan adalah uji univariat dan uji multivariat. Hasil penelitian menunjukkan bahwa, 1. Pengajuan masalah tidak berpengaruh terhadap prestasi belajar dengan nilai signifikansi 0,067 (p < 0,05), 2. Pengajuan masalah tidak berpengaruh terhadap kemampuan penalaran matematis dengan nilai signifikansi 0,393 (p > 0,05)
AGROTOURISM BUSINESS STRATEGY WITH BUSINESS MODEL CANVAS APPROACH
Get PDFThe rapid development in the world of tourism has become a special attraction for research, especially for agro-tourism businesses with a lot of potential. Therefore, a business model and strategy are needed that are appropriate and suitable for agro-tourism businesses by analyzing the strengths, weaknesses, opportunities, and threats currently being faced as well as developing a business model that will be implemented in the future based on the business model canvas. The research method uses a qualitative descriptive method with the research location at the Rekadena agrotourism business, which is located in Jeruju Besar Village, Kubu Raya Regency, West Kalimantan Province. The variable consist of customer segmnets, value propositions, channels, customer relationships, revenue streams, key resources, key activities, key partnerships, and cost structure. The result of the research are segmented consumer segmentation, channels run by agro-tourism in the form of communication, distribution, and direct selling, as well as providing personal assistance and relying on service quality. Rekadena's agro-tourism motivation in establishing partner relations is the acquisition of resources and activities. In addition, the cost structure of rekadena's agro-tourism shows that the biggest cost factor in the company is employee salaries
Klasifikasi kualitas mutu susu pasteurisasi menggunakan metode klasifikasi k-Nearest Neighbor
Get PDFMilk is a product that is often consumed because it has many good benefits for the body. One of the benefits of milk is that it contains calcium, which is useful for the growth of bones and teeth. However, many consumers still choose dairy products based only on their appearance, even though milk quality is not based on its appearance but is found during milk processing. Pasteurization is the process of heating whole milk at a specific temperature and for a certain period to increase the milk's shelf life and maintain the milk's quality. Two types of pasteurization processes are Long Temperature Long Time and High Temperature Short Time. k-Nearest Neighbor or k-NN is a data mining method used to classify objects from the data, using distance calculations or Euclidean Distance to look for similarities between neighbors. So, based on this problem, milk quality classification is carried out. The research was carried out by classifying milk quality using the K-NN method. The public data used to classify is 1,059 pasteurized milk data, with seven regular or ordinary attributes and one special or class attribute. The K values that will be used in this research are k=3, k=5, and k=7. From the analysis of calculation results using the k-NN method, the accuracy values obtained are k=3 is 97%, k=5 is 89%, and k=7 is 87%.Susu merupakan salah satu produk yang sering dikonsumsi karena memiliki banyak manfaat yang baik bagi tubuh. Salah satu manfaat susu yaitu terdapat kalsium yang berguna untuk masa pertumbuhan tulang dan gigi. Namun, masih banyak para konsumen yang memilih produk susu hanya berdasarkan tampilannya saja padahal kualitas susu bukan berdasarkan tampilannya melainkan terdapat pada saat proses pengolahan susu tersebut. Pasteurisasi merupakan suatu proses pemanasan susu murni pada suhu tertentu dan jangka waktu tertentu untuk meningkatkan daya tahan susu dan menjaga kualitas dari susu tersebut. Proses pasteurisasi dibagi menjadi dua cara, yaitu Long Temperature Long Time (LTLT) dan High Temperature Short Time (HTST). k-Nearest Neighbor atau k-NN adalah suatu metode dalam data mining yang digunakan untuk melakukan klasifikasi terhadap objek dari data tersebut, dengan menggunakan perhitungan jarak atau Euclidean Distance untuk mencari kemiripan atau similarity dari ketetanggaannya. Dari permasalahan tersebut maka dilakukan pengklasifikasian kualitas susu. Penelitian yang dilakukan yaitu mengklasifikasikan kualitas susu menggunakan metode K-NN. Data publik yang digunakan untuk melakukan klasifikasi adalah data susu pasteurisasi sebanyak 1.059 data, dan terdapat tujuh atribut reguler atau atribut biasa dan satu atribut spesial atau class. Nilai k yang akan digunakan pada penelitian ini yaitu k=3, k=5, dan k=7. Dari analisis hasil perhitungan menggunakan metode k-NN, nilai akurasi yang didapatkan sebesar k=3 sebesar 97%, k=5 sebesar 89%, dan k=7 sebesar 87%
Comparison of financial behavior studies in Southeast and East Asian countries: A systematic literature review
Get PDFPenelitian ini dilakukan untuk melihat tren komparatif studi behavioral financial di negara-negara Asia Tenggara dan Timur. Selain itu, tujuan lain dari penelitian ini adalah untuk melihat kesenjangan studi Perilaku Keuangan di negara-negara Asia Tenggara dan Timur. Ada beberapa alasan yang mendasari penelitian ini. Pertama, mempelajari perilaku keuangan di negara-negara Asia mempunyai karakteristik unik dimana perilaku keuangan masyarakat perkotaan dan pedesaan berbeda. Kedua, perilaku keuangan di Asia masih belum sepenuhnya diterapkan oleh masyarakat. Metode penelitian yang digunakan dalam penelitian ini adalah deskriptif kualitatif dengan analisis bibliometrik. Data akan dikumpulkan melalui database Scopus, yang kemudian diolah dengan software paket R. Pengolahan data menggunakan software paket R selanjutnya akan dianalisis menggunakan analisis bibliometrik.This research was conducted to see the comparative trend of behavioral financial studies in Southeast and East Asian countries. Another aim of this research is to examine the gaps in studying financial behavior in Southeast and East Asian countries. There are several reasons behind this research. First, studying financial behavior in Asian countries has unique characteristics, such as the different financial behavior of urban and rural communities. Second, society still has not fully implemented financial behavior in Asia. The research method used in this research is descriptive qualitative with bibliometric analysis. Data will be collected through the Scopus database, which is processed with R package software. Data processing using R package software will then be analyzed using bibliometric analysis