Keandalan operasi transformator sangat tergantung pada kondisi isolasi yang baik. Penelitian ini bertujuan untuk menganalisis tahanan isolasi dan mengestimasi umur transformator dengan menggunakan metode Health Index di PT PLN (Persero) UPT Cawang. Metode Health Index ini mengintegrasikan berbagai parameter kondisi transformator, termasuk hasil pengukuran tahanan isolasi, pengujian minyak isolasi, dan parameter operasional lainnya, untuk memberikan gambaran komprehensif tentang kondisi kesehatan transformator. Data diperoleh dari pengujian lapangan dan laboratorium yang dilakukan secara periodik. Hasil analisis menunjukkan bahwa beberapa transformator memiliki nilai tahanan isolasi yang mendekati batas minimal yang direkomendasikan, mengindikasikan adanya penurunan kualitas isolasi. Estimasi umur transformator dilakukan berdasarkan nilai Health Index yang dihitung, dengan mempertimbangkan degradasi material isolasi dan kondisi operasional transformator. Transformator dengan nilai Health Index yang rendah diidentifikasi memiliki risiko tinggi terhadap kegagalan operasional dan memerlukan tindakan pemeliharaan atau penggantian segera. Studi ini memberikan wawasan penting bagi manajemen pemeliharaan di PT PLN (Persero) UPT Cawang untuk meningkatkan keandalan dan efisiensi operasi transformator. Implementasi metode Health Index terbukti efektif dalam memprediksi umur sisa transformator dan merencanakan strategi pemeliharaan preventif. Dengan demikian, dapat diharapkan peningkatan kontinuitas layanan penyaluran energi listrik dan pengurangan risiko gangguan operasional.
 
Kata kunci: Estimasi Umur, Health Index, Pemeliharaan Preventif, Tahanan Isolasi, Transformator.

Bank profitability is a signal sent to bank stakeholders about bank performance over a certain period in the form of ratio, one of which is ROA. This research aims to find out the influence of NPL, LDR, CAR and the size of the bank on ROA. In addition, to know bank size as a moderation in the impact of the NPL, LDR and CAR on the ROA, the design of the research uses a quantitative approach. The research population is the entire Regional Development Bank in Indonesia of 31 banks. The samples were taken using purposive sampling, which produced 24 banks as samples. Data analysis techniques use double linear regression and Moderated Regression Analysis. The findings of this study explain that increased NPL ratio and bank size lead to lower ROA, increased LDR and CAR lead to higher ROA and the size of banks moderate the influence of NPL, LDR, and CAR on ROA. These results have implications for the Regional Development Bank in Indonesia to manage the risk profile, capitalization, and size of the bank as they affect ROAs. Moreover, stakeholders should also consider these factors when evaluating bank performance before investing.

Indonesia is an archipelagic country which has different legal characteristics, namely community life in villages which is closely related to family ties, which does not rule out the possibility that problems will arise such as the problem of dividing inherited land which often causes disputes within the family. This journal discusses legal solutions to the infringement of inherited land rights by non-heirs. The author emphasizes that seizure of inherited land by non-heirs can cause disputes and conflicts, as well as impact personal interests. Empirical juridical research method, using a statutory approach. The aim of this research is to find out the regulations for the distribution of inherited land rights and to understand the legal consequences of encroachment on inherited land rights by third parties. The results of this research show that the division of inheritance rights over land is regulated by the inheritance law that applies in Indonesia, there are three systems of inheritance law, namely Customary Inheritance Law, Islamic Inheritance Law, and Civil Inheritance Law, and the regulation of the distribution of inheritance rights over inheritance that applies in Indonesia. The legal consequence of encroachment on inheritance rights by a third party is that the heirs receive compensation for material and immaterial losses resulting from unlawful acts calculated in the form of money or by replacing goods or objects that have been damaged or confiscated, according to the value of the goods.
 
 
 

Penelitian ini dilatar belakangi dengan kurangnya minat dan keinginan siswi akan budaya membaca. Siswi juga kurang memahami tentang perpustakaan. Tujuan dari penelitian ini adalah untuk mengetahui manajemen perpustakaan yang ada di MTs Darunnajah 2 Cipining Bogor untuk meningkatkan minat baca peserta didik. Jenis penelitian yang digunakan adalah penelitian deskriptif kualitatif. Subjek dalam penelitian ini adalah Kepala Sekolah perpustakaan dan 6 orang siswi dari kelas IX Hasil penelitian menunjukkan bahwa implementasi manajemen perpustakaan di MTs Darunnajah 2 Cipining Bogor sudah berjalan sesuai dengan Sistem Manajemen yang baik, tetapi perlu dilakukan evaluasi untuk meminimalisir kekurangan-kekurangan yang terjadi di lapangan. dari aspek perencanaan, perpustakaan MTs Darunnajah 2 Cipining Bogor telah merencanakan kegiatan dalam penyelenggaraan perpustakaan yang meliputi pengadaan bahan koleksi, anggaran dan sumber daya manusia. Dari aspek pengorganisasian, perpustakaan MTs Darunnajah 2 Cipining Bogor sudah membuat struktur organisasi dengan baik, sehingga dapat memperlancar kinerja perpustakaan sesuai dengan pekerjaannya masing-masing. Dari aspek penggerakkan dalam manajemen perpustakaan meliputi pelayanan dan penyediaan sarana prasarana. Dari aspek pengawasan, pengawasan yang dilakukan berupa pengawasan rutin setelah selesai melaksanakan program kerja.

Purpose: The purpose of this study is to enhance the classification of batik motifs through the implementation of a novel approach utilizing Multi-Layer Convolutional Neural Networks (CNN). Batik, a traditional Indonesian textile art form, boasts intricate motifs reflecting rich cultural heritage. However, the diverse designs often pose challenges in accurate classification. Leveraging advancements in deep learning, this research proposes a methodological framework employing Multi-Layer CNN to improve classification accuracy.
Methods: The methodology integrates Multi-Layer CNN architecture with an image dataset comprising various batik motifs, meticulously collected and preprocessed for uniformity. The CNN architecture incorporates convolutional layers of different sizes (3x3, 5x5, and 7x7) to extract unique features from batik images. Training options, including the Adam optimizer and validation frequency, are optimized based on parameters to enhance model efficiency and effectiveness.
Result: Results from the experimentation demonstrate significant improvements in classification accuracy, with an overall accuracy rate of 90.88%. Notably, precision and recall scores for individual batik motifs, such as Motif Cual Bangka and Motif Rumah Adat Belitung, reached remarkable levels, showcasing the efficacy of the proposed approach.
Novelty: This study contributes novelty through the integration of Multi-Layer CNN in batik classification, offering a robust and efficient method for identifying intricate batik motifs. Additionally, the research presents a pioneering application of deep learning techniques in preserving and promoting traditional cultural heritage, thereby bridging the gap between tradition and modern technology.

Green Open Space (GOS) is one of the efforts to deal with increasing GHG emissions because it has the ability to absorb CO2 emissions. Development Area IV Pekanbaru is one of the Development Areas that has the potential to produce carbon dioxide (CO2) emissions, specifically in Bukit Raya Pekanbaru District. This research was conducted to determine the number of motorized vehicles and the value of CO2 emissions produced each day, as well as the value of the capacity of GOS to absorb CO2 emissions from transportation activities in Bukit Raya Pekanbaru District. The method used is recording traffic activities to calculate the amount of CO2 emissions and calculating all public green open spaces with vegetation cover in the form of grasslands and trees with a diameter of ? 20 cm, as well as calculating the percentage of green open space absorption capacity. The research results obtained were that the value of CO2 emissions from transportation in Bukit Raya Pekanbaru District was 67,007,898 tons of CO2/year. Meanwhile, the capacity to absorb CO2 by public green open spaces is only 1,992.32 tons of CO2/year. The results show that public green open space in Bukit Raya Pekanbaru District in terms of absorbing CO2 emissions from transportation is still insufficient with a percentage of only 2.97%.

The palm oil industry is an important economic pillar in various countries, making a significant contribution to global vegetable oil production. Despite its vital role, oil palm growth is often faced with serious challenges such as pest and disease attacks that can threaten crop yields and plant health. Oil palm seeding, as the initial stage in the plant growth cycle, is key in ensuring optimal quality and productivity in the future. The successful application of mobile robot technology in detecting pests and diseases in oil palm nurseries will not only increase production efficiency, but also support the principles of sustainability and wise resource management.

When collecting data, sometimes you need tools to make it neater and better at collecting data. The infrastructure section of the Pancabudi Development University which records all incoming and outgoing goods is so large and on a university scale it makes the infrastructure less effective. The research carried out built an Inventory Warehouse System. The research results of the warehouse inventory system that was built were very well used at the Pancabudi Development University in the Facilities and Pre-Means section in warehouse data collection. This system makes it easier for UNPAB Sapras to monitor data on incoming and outgoing goods and can record all types of conditions of goods carried out. The implementation of the Warehouse Inventory System is carried out using data on goods in the UNPAB warehouse. This results in orderly and neat digital data collection. Apart from that, it is more effective because it applies the Scrum method and applies the CodeIgniter framework.
 
 
 

This research aims to analyze Working Capital Management and Leverage on Profitability Through Good Corporate Governance (Empirical Study of Consumer Cyclicals Sector Companies Listed on the Indonesian Stock Exchange (BEI) for the 2020 – 2022 Period. The research population is all listed Consumer Cyclicals sector companies on the Indonesia Stock Exchange (BEI) for the period 2020 - 2022 with a total of 139 companies, the sample that has been determined in this research is 31 companies using non-probability sampling techniques with the Purposive Sampling method. Data analysis in this research uses the SmartPLS program. Hypothesis testing using the SEM-PLS approach. The results of the analysis and discussion of Working Capital Management have an effect on Profitability, Leverage has no effect on Profitability, Good Corporate Governance has an effect on Profitability, indirectly  Working Capital Management has no effect on Profitability through Good Corporate Governance, and indirectly h Leverage has no effect on Profitability through Good Corporate Governance in Consumer Cyclicals Sector Companies Listed on the Indonesia Stock Exchange (BEI) for the 2020 – 2022 Period.
 
 

The representation process for mapping malnutrition rates in the Waingapu City District area does not yet use computer technology, so the process of monitoring malnutrition rates in each region is still not presented well. This certainly makes it difficult for cadres and the Health Service to monitor the rate of malnutrition in the Waingapu City District Area. Therefore, it is necessary to build an information system that is able to provide data, both in the form of graphs and maps, for mapping malnutrition rates in the Waingapu City District area. The design and development of this information system was carried out using data collection methods and direct interviews with the Waingapu City Health Service, by looking for other references related to similar research. The aim of designing a web-based geographic information system for data collection on malnutrition sufferers is to help the community and the Health Service in monitoring and handling cases of malnutrition in the Waingapu City District area. This Geographic Information System will display malnutrition data based on sub-districts using color polygons as signs that provide information about safe conditions or conditions that require further treatment. The method used in creating a website is waterfall and goes through six stages, namely: the Reguirement Analysis (Analysis), Design (design), Development (coding), Testing (trial), and maintenance (maintenance) stages and system testing is carried out using black box.