The primary objective of this study is to highlight the importance of mediation as a more effective alternative method for resolving joint property disputes compared to conventional litigation approaches. Joint property disputes have become an increasingly pressing issue in the realm of family and civil law. These conflicts often arise in the context of divorce, which can cause tension and uncertainty for the parties involved. According to the decision directory of the Supreme Court of Indonesia, there were 2,316 cases of joint property disputes in 2023, indicating that joint property conflicts are widespread. This underscores the urgent need for a more effective alternative solution. The formal legal approach traditionally used in resolving joint property disputes has various limitations. One major constraint is the lack of integration among the various relevant approaches in the mediation process. This study employs three approaches: psychological, economic, and philosophical. Data collection is based on a literature review and utilizes a qualitative descriptive method for data analysis. The study's findings indicate that mediation offers significant advantages over conventional litigation for dispute resolution. The integrated mediation model developed in this study, which combines psychological, economic, and philosophical approaches, is expected to address the weaknesses of existing mediation approaches. With a holistic and adaptive approach to the complexities of joint property disputes, this model has the potential to improve the effectiveness and efficiency of dispute resolution and provide tangible benefits to the involved parties. Tujuan utama dari penelitian ini adalah menyoroti pentingnya mediasi sebagai metode alternatif yang lebih efektif untuk menyelesaikan sengketa harta bersama dibandingkan dengan pendekatan litigasi konvensional. Sengketa harta bersama telah menjadi isu yang semakin mendesak dalam ranah hukum keluarga dan perdata. Konflik ini sering kali timbul dalam konteks perceraian yang dapat menimbulkan ketegangan dan ketidakpastian bagi para pihak yang terlibat. Berdasarkan Direktori Putusan Mahkamah Agung Indonesia pada tahun 2023 terdapat 2316 kasus sengketa harta bersama, ini menunjukkan bahwa persengeketaan harta bersama ada sacara masif. Hal ini menunjukkan kebutuhan mendesak untuk solusi alternatif yang lebih efektif. Pendekatan hukum formal yang selama ini digunakan dalam penyelesaian sengketa harta bersama memiliki berbagai keterbatasan, Salah satu kendala utama adalah kurangnya integrasi antara berbagai pendekatan yang relevan dalam proses mediasi.  Penelitian ini menggunakan tiga pendekatan yaitu pendekatan psikologis, ekonomis dan filosofis. Metode pengumpulan data berbasis studi kepustakaan, dan menggunakan metode deskriptif kualitatif dalam menganalisis data. Hasil penelitian menunjukan bahwa Mediasi menawarkan keuntungan signifikan dari pada penyelesaian sengketa secara litigasi konvensional, Model mediasi terintegrasi yang dikembangkan dalam penelitian ini, yang menggabungkan pendekatan psikologis, ekonomis, dan filosofis, diharapkan dapat mengatasi kelemahan dari pendekatan mediasi yang ada saat ini. Dengan pendekatan yang holistik dan adaptif terhadap kompleksitas sengketa harta bersama, model ini berpotensi meningkatkan efektivitas dan efisiensi penyelesaian sengketa, serta memberikan manfaat nyata bagi para pihak yang terlibat.

The objective of this study is to assess and understand fair Production Sharing Agreement (PSC) structures as well as state practices in the mining sector through a comparative analysis. The investigation aims to scrutinize and understand the optimal approach for implementing a fair PSC)in mining. The research uses the normative legal research method and legal principles rooted in specific areas of the legal system, initially by determining the rules defined in the relevant legislation. Findings reveal fair Production Sharing Contract (PSC) arrangements in the Mining Sector and Government Practices. Production-sharing contracts in comparative research ignore the principle of balancing the rights and obligations of the parties involved. The contractor is required to bear all operating costs, which represents a significant burden in the absence of cost recovery. The proposed ideal concept for the implementation of the fair PSC in the mining sector involves the integration of the cost recovery PSC with the common split system agreement. In particular, the application of  PSC to existing upstream oilfields and the adoption of the gross split work contract system for new upstream oilfields.Tujuan dari studi ini adalah untuk menilai dan memahami struktur Perjanjian Bagi Hasil (PSC) yang adil serta praktik negara di sektor pertambangan melalui analisis komparatif. Investigasi ini bertujuan untuk meneliti dan memahami pendekatan optimal untuk menerapkan PSC yang adil di bidang pertambangan. Penelitian ini menggunakan metode penelitian hukum normatif dan asas-asas hukum yang berakar pada bidang tertentu dalam sistem hukum, yang mula-mula dengan menentukan aturan-aturan yang ditetapkan dalam peraturan perundang-undangan yang bersangkutan. Temuan mengungkapkan pengaturan PSC yang adil di sektor pertambangan dan praktik pemerintah. Kontrak bagi hasil dalam penelitian komparatif mengabaikan prinsip keseimbangan hak dan kewajiban para pihak yang terlibat. Kontraktor wajib menanggung seluruh biaya operasional, yang merupakan beban signifikan jika tidak ada cost recovery. Usulan konsep ideal penerapan fair PSC di sektor pertambangan melibatkan integrasi cost recovery PSC dengan perjanjian sistem common split. Khususnya penerapan PSC pada ladang minyak hulu yang sudah ada dan penerapan sistem kontrak karya gross split pada ladang minyak hulu baru.  

Background: Diabetes Mellitus is a heterogeneous disorder characterized by increased glucose levels in the blood. Insulin, a hormone produced by the pancreas, controls glucose levels in the blood by regulating its production and storage (Smeltzer and Bare, 2019). Diabetes Mellitus occurs if the pancreas produces little or no insulin so that the sufferer is forever dependent on external insulin, or if the pancreas continues to produce insulin but the body develops immunity to its effects. Diabetic neuropathy is nerve damage caused by increased blood glucose, which results in decreased blood circulation to cells and decreased nerve cell function. Initial symptoms are paresthesia (prickling, tingling or increased sensitivity) and burning (especially at night). As neuropathy increases, the feet feel numb (numb). Decreased sensitivity to pain and temperature puts neuropathy sufferers at risk of experiencing injury and infection in the feet without knowing it (Smeltzer and Bare, 2019). Foot exercises are activities or exercises carried out by Diabetes Mellitus patients which aim to improve blood circulation so that nutrition reaches the tissues more smoothly, strengthen small muscles, calf muscles and thigh muscles, and overcome the limited joint movement often experienced by Diabetes Mellitus sufferers. Method: The method for writing this final scientific paper is a literature review by examining journals that discuss the effect of diabetic foot exercises on reducing neuropathy symptoms in Diabetes Mellitus sufferers. Results: Based on the results of the implementation carried out by the author, namely encouraging patients to carry out routine extremity movements, namely by carrying out diabetes foot exercise therapy for three consecutive days from 09 to 11 January 2024, differences were found between conditions before and after implementation. The patient data before implementation was that the patient said both feet often felt tingling, the patient said both feet sometimes felt like they were numb, the results of scoring symptoms of diabetic neuropathy were 4, while the patient data after implementation was that the patient complained of tingling both times and feeling like numbness. begins to decrease and the results of scoring symptoms of diabetic neuropathy have decreased, namely to a value of 2, so it can be concluded that there is an influence of diabetic foot exercise therapy on reducing symptoms of diabetic neuropathy in diabetes mellitus sufferers. This is in accordance with the journal that the author studied, namely according to Febrina Angraini S, 2020.

This study aims to assemble cucumber strain candidates based on the diversity of fruit skin color. This research was conducted at Celeban Teaching Factory of Agricultural Development Polytechnic Yogyakarta-Magelang campus, Yogyakarta, Indonesia from February to June 2023. The research object consisted of two cucumber varieties as parental and two first derivatives or First Offspring lines from reciprocal crosses of two parental lines. The research method used a single-plant experiment by planting and observing each plant of the cross. The crossing was carried out by the double-cross method reciprocally to obtain two numbers of derivative plants, for each number planted as many as 80 plants so that there was a population of 160 derived plants and eight parental plants for each parental strain as a comparison. The parameters in this study included the intensity of green leaf color, the basic color of the fruit skin, the intensity degree of the basic color of the fruit skin, the tip shape of the fruit, the base form of the fruit and the cut of the crosscut fruit. The research’s results from the observed population obtained a diversity of fruit skin colors classified into 4 clusters of the candidate lines, namely bright yellow, bright green, medium green, and dark green fruit skin clusters.

Unemployment is a persistent problem in the labor market, thus hampering economic development and national prosperity. Indonesia, including its capital Jakarta, continues to face significant levels of unemployment compared to neighboring countries. This research focuses on analyzing the structure of unemployment in Jakarta using K-Means Clustering to categorize unemployment data based on age groups (2020-2022) sourced from the Central Statistics Agency. Analysis carried out via RapidMiner revealed three clusters:-Cluster 0: Age 30-60 years and above, Cluster 1: Age 20-24 years, Cluster 2: Age 15-19 and 25-29 years. The findings show that the 20-24 year age group has the highest unemployment rate (399,167 people), while the 30-60 year and above age group shows the lowest unemployment rate (75,560 people). This clustering approach provides insight into the distribution of unemployment by different age demographics in Jakarta, highlighting areas where targeted interventions may be needed to effectively address this socio-economic challenge

The process of identifying the ripeness level of cayenne peppers is an important step in cultivation and post-harvest handling. Dependence on the quality factors of farmers, such as visual diversity and differences in ripeness perception, results in subjective harvest outcomes. This manual process is also prone to inconsistent results, as humans have time limitations, fatigue, and sometimes lack concentration when sorting for long periods. To minimize these issues, technological intervention is needed to mechanically classify the ripeness level of cayenne peppers. This research aims to develop a classification model for the maturity level of cayenne pepper plants. This research proposes the use of the CNN method for feature extraction and KNN for data classification based on the features extracted by CNN. From the test scenarios carried out, the classification carried out by KNN based on CNN feature extraction got the best accuracy of 99.33%, while the CNN classification model got the best accuracy of 87.33%.

This research aims to analyze the performance of various CPU scheduling algorithms in increasing the responsiveness of the Android operating system. Using algorithms such as First Come First Served (FCFS), Shortest Job First (SJF), Shortest Remaining Time First (SRTF), and Round Robin, this study evaluates the advantages and disadvantages of each in terms of average waiting time, throughput, and power consumption. Research methods include literature study, algorithm selection and implementation, as well as data testing and analysis. The research results show that choosing the right scheduling algorithm can increase system efficiency and responsiveness, as well as provide recommendations for Android operating system developers and the application developer community. It is hoped that these findings will help in determining the optimal solution for improving the performance of the Android operating system.

Quality Management has been known since four thousand years ago, when the ancient Egyptians measured the dimensions of the stones used to build the pyramids. In modern times, quality management activities have developed through several activities, namely inspection, quality control, quality assurance, quality management and integrated quality management. The problem currently occurring at Bir Pletok Bang Udin UMKM in quality management is that they do not know the right composition to increase quality and do not know the standard level of factors used, so the author has carried out quality improvements in product manufacture. This research uses the DMAIC cycle (Define, Measure, Analyze, Improve and Control) with the Taguchi method for quality improvement. The aim of this research is to combine the DMAIC cycle with the Taguchi method to improve the taste quality of beer pletok drinks. The results of this research are that there is a significant change in the DPMO value and sigma value, before the DPMO improvement was 614.092 and the sigma value was 1.21, this value was relatively low, after the improvement the DPMO value became 32, this proves that the number of defects has decreased and the sigma value has increased to 5.50 This proves that there has been a large increase in process capability, so that the improve phase has proven to be very effective in improving quality and process capability.

Kucing adalah hewan peliharaan populer yang sering kali rentan terhadap berbagai penyakit. Ketidakmampuan pemilik untuk mendiagnosa penyakit kucing secara tepat waktu sering kali mengharuskan konsultasi dengan dokter hewan yang sebagian besar hanya tersedia di perkotaan. Penelitian ini bertujuan mengembangkan sistem pakar berbasis web menggunakan metode Forward Chaining dan Certainty Factor untuk membantu mendiagnosa penyakit pada kucing. Metodologi pengembangan sistem ini mencakup tahap persiapan, prototyping, dan penyelesaian. Pada tahap persiapan, masalah dirumuskan dan wawancara dengan dokter hewan dilakukan untuk membangun knowledge base. Tahap prototyping melibatkan pembuatan mesin inferensi dan knowledge base, sementara tahap penyelesaian meliputi implementasi sistem ke dalam antarmuka pengguna berbasis web menggunakan PHP dan framework Laravel. Hasil uji sistem menunjukkan konsistensi tinggi dengan hasil diagnosa manual menggunakan Excel. Sebagai contoh, diagnosa penyakit Virus Panleukopenia memiliki nilai certainty factor sebesar 94,62% pada aplikasi, sementara perhitungan manual menunjukkan 95,21%, dengan perbedaan hanya 0,41%. Hal ini menunjukkan bahwa sistem pakar yang dikembangkan mampu memberikan diagnosa yang cepat dan akurat. Kesimpulannya, sistem pakar berbasis web ini dapat diandalkan untuk mendiagnosa penyakit kucing dan membantu dokter hewan serta pemilik kucing melakukan diagnosa awal dengan lebih efisien.

Rohingya in Indonesia has become trending conversation on social media. Sentiment analysis can get public responds. Big data makes the problem time efficiency labeling process, therefore the lexicon dictionary is needed for the labeling process. Data is growing and circulating very rapidly so it takes a fast and efficient time. Although it is fast and makes it easier to solve problems, it is still necessary to question the accuracy produced when using the lexicon labeling. A comparison of the labeling process between the InSet lexicon and the VADER lexicon was conducted to determine the accuracy of the labeling. It was done by combining lexicon with machine learning method of support vector machine and TF-IDF weighting and accuracy result calculated using confusion marix. Data from social media X as many as 9117 lines and labeled with InSet lexicon result 5241 negative sentiments, 1369 positive, and 521 neutral. Then the labeling results with VADER produced 2749 positive, 2523 negative, and 1881 neutral. After labeled, processed SVM and calculated accuracy with results of InSet lexicon accuracy having an average of 85.8% while the VADER SVM lexicon has an average of 82.65%.