Leading & Enlightening Journal UMY
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Analisis Pengaruh Intensitas Cahaya Terhadap Pengisian Baterai Sprayer Hybrid Menggunakan Panel Surya Dengan Metode Fuzzy Logic
Full text linkThe use of electric sprayers for pesticide application in Jipang Village, Blora, faces challenges due to battery dependency, often leading to inefficiencies when batteries deplete mid-operation. This study evaluates the performance of a hybrid sprayer integrated with a 10W monocrystalline solar panel and a Pulse Width Modulation (PWM) charge controller to optimize field battery charging. Experimental methods included measuring solar irradiance (using a lux meter), voltage, current, and system efficiency across three days (21 May, 29 May, and 1 June 2025) at hourly intervals (08:00–16:00 WIB). Results indicate peak efficiency (15–18%) during morning hours (08:00–10:00 WIB) under high irradiance (900–1045 W/m²), while afternoon efficiency dropped to 7–13% due to declining sunlight intensity and suboptimal solar angles. The highest power loss (60–71W) occurred at 09:00–10:00 WIB, attributed to energy conversion limitations. The study concludes that solar-hybrid sprayers are viable for agricultural use, provided battery charging is prioritized in the morning. This solution enhances operational efficiency while reducing carbon emissions and fossil fuel reliance
Effect of Layering and Fiber Orientation on The Tensile, Impact, and Flexural Properties of Polyester/Ramie Fiber Composites
Full text linkNatural fiber-based composite materials have recently emerged as a promising alternative to synthetic materials due to their eco-friendly characteristics and ability to provide good mechanical strength. One of the natural fibers with strong potential as reinforcement is ramie fiber, which, when combined with a polyester matrix, can produce strong yet lightweight composite materials. This study was conducted to evaluate the effect of fiber orientation and the number of layers on the mechanical properties of polyester (ramie fiber) composites. The specimens were fabricated using the hand lay-up method with three variations: without fiber, two layers of unidirectional fibers, and two layers of woven fibers. The test results revealed that the woven fiber specimens achieved the highest performance in the tensile test, with a tensile strength of 33.31 MPa and an elastic modulus of 1.8 GPa. In the flexural test, this specimen also recorded the highest stress of 16.39 MPa and a flexural modulus of 58.3 MPa. The impact test showed that the woven fiber specimen had the highest energy absorption capacity of 4.97 Joules and an impact strength of 130.46. Overall, the use of woven ramie fibers significantly enhanced the tensile strength and impact toughness of the composite. Nevertheless, the effectiveness of reinforcement strongly depends on the proper arrangement and distribution of the fibers
Artificial Intelligence and Antitrust Regulation: Lessons from the European Union, United States and China
No full textThis article explores the implications of artificial intelligence (AI) for antitrust regulation through a comparative analysis of the European Union, the United States, and China. The growing use of algorithms in pricing, recommendation, and platform management has created efficiency gains but also new risks of collusion, monopolization, and exclusionary conduct. Employing a normative legal research method with a comparative approach, the study examines statutes, regulatory frameworks, case law, and academic debates across the three jurisdictions. The findings reveal divergent approaches: the EU has developed a proactive and risk-based framework through the AI Act; the U.S. relies on case-driven enforcement rooted in the Sherman, Clayton, and FTC Acts; while China combines antitrust law with state-led governance of data and algorithms. These differences highlight the limitations of conventional doctrines in addressing algorithmic collusion and system design choices that may substitute for explicit agreements. This study emphasize that complementary measures such as algorithmic transparency, independent audits, and interoperability requirements are needed to mitigate risks without stifling innovation shall be applied within the Indonesian competition law regime
Pengaruh Mediasi Hedging Pada Hubungan Kebijakan Hutang, Financial Distress dan Nilai Perusahaan Sektor Energi di Indonesia
Full text linkLatar Belakang: Nilai perusahaan memiliki peran penting dalam peresepsi investor. Dalam menjangkau menjangkau investor yang lebih luas, perusahan melakukan ekspansi ke perdagangan internasional. Namun dalam perdagangan internasional sering kali dihadapkan eksposur transaksi yang dapat mempengaruhi hasil laporan keuangan. Kebijakan hutang, financial distress dan hedging dianggap dapat mempengaruhi nilai perusahaan serta peran hedging dalam memediasi kebijakan hutang dan financial distress terhadap nilai perusahaan.Tujuan: Menguji dan menganalisis apakah kebijakan hutang, financial distress dan hedging berpengaruh terhadap nilai perusahaan, serta menguji pengaruh langsung kebijakan hutang dan financial distress pada hedging. Menguji dan menganalisis hedging dapat memediasi kebijakan hutang dan financial distress terhadap nilai perusahaan.Metode Penelitian: Metode penelitian kuantitatif dengan data sekunder sebanyak 108 data sampel Perusahaan Sektor Energi yang terdaftar di Bursa Efek Indonesia periode 2021-2023. Data diolah dengan aplikasi SPSS versi 28. Uji hipotesis untuk melihat pengaruh kebijakan hutang, financial distress dan hedging terhadap nilai perusahaan menggunakan metode regeresi berganda. Sedangkan uji mediasi dengan hedging sebagai mediasi antara kebijakan hutang dan financial distress terhadap nilai perusahaan menggunakan uji sobel.Hasil Penelitian: Kebijakan hutang berpengaruh positif terhadap hedging sedangkan financial distress tidak berpengaruh terhadap hedging. Kebijakan hutang tidak berpengaruh terhadap nilai perusahaan sedangkan financial distress berpengaruh positif terhadap nilai perusahaan. Hedging tidak berpengaruh terhadap nilai perusahaan. Hedging tidak dapat memediasi kebijakan hutang dan financial distress terhadap nilai perusahaan di perusahaan sektor energi di Indonesia.Keaslian/Kebaruan Penelitian: Kebaruan penelitian terdapat pada menjadikan hedging sebagai variabel mediasi dalam hubungan kebijakan hutang dan financial distress. Penelitian ini mengambil data pada perusahaan Sektor Energi di BEI, yang masih jarng diteliti sebelumnya. Penelitian ini dapat menjadi salah satu pendukung dalam inkonsistensian hasil penelitian sebelumnya
Formulation and Organoleptic Evaluation of Roselle (Hibiscus sabdariffa) Jamu Godog with Stability and Microbial Quality Assessment
Full text linkJamu is a traditional medicinal preparation proven to have many pharmacological properties and is widely used in Indonesian society. Unfortunately, many people do not like herbal medicine because of its unpleasant taste and odor. This phenomenon has driven much research in modifying the organoleptic parameters of jamu to make it more acceptable to the tongues and noses of consumers while still having a potent effect on health. This study, thus, aimed to formulate a roselle (Hibiscus sabdariffa)-enhanced jamu godog (traditional Indonesian herbal decoction) and evaluate its organoleptic properties, physical stability, and microbial quality. Jamu godog was prepared by sequentially boiling and mixing ground ginger, turmeric, lemongrass, roselle, rock sugar, and lime, with roselle concentrations set at 0%, 0.3%, and 0.6%. Organoleptic attributes and pH stability were assessed before and after storage at 4°C and 25°C for seven days. Microbial contamination was measured via total plate count (TPC) after storage at 4°C for three and seven days. A hedonic test with 40 participants across two age groups evaluated sensory acceptance. Results indicate that the addition of roselle at 0.3% concentration optimized taste and overall acceptability while maintaining pH stability and microbial safety within BPOM standards throughout the storage period. This formulation demonstrates potential as a palatable and microbiologically safe herbal preparation with enhanced consumer acceptance.
Pencegahan Pembunuhan-Bunuh Diri Oleh Keluarga: Tinjauan Teori Sosio-Kriminologi
Full text linkThe phenomenon of family murder-suicides presents a paradox. In various studies, the family is viewed as a support system for suicide prevention, yet in these cases, family members are encouraged to end their lives together. This research focuses on the question, "What does socio-criminology offer in preventing family murder-suicides?" The study employs a literature review method on two cases to illustrate the issues at hand. The findings attempt to offer prevention strategies through the connection between lifestyle, routine activities of the perpetrators, and suicide or murder acts. The influence of unstructured socialization can increase the likelihood of family murder-suicides. The research also suggests the structure of communities and families to prevent other factors that drive suicide or murder in the cases reviewed in this study. Additionally, this study recommends three prevention programs based on socio-criminological theorie
Implementasi Penelitian Kemasyarakatan sebagai Pertimbangan Putusan Hakim dalam Perkara Anak yang Berkonflik Dengan Hukum
Full text linkCommunity research is an instrument in the juvenile justice system used to provide a comprehensive overview of the social, psychological, and family conditions of children involved in criminal acts. This study examines the extent to which community research results influence judges' decisions in imposing sanctions or rehabilitation on children in conflict with the law. This research was conducted using an empirical juridical method that examines approaches to legal studies and phenomena occurring in Merauke Regency. The data obtained were then processed into primary and secondary data. The results indicate that although community research provides invaluable information in determining more rehabilitative decisions, there are challenges in terms of limited time and available resources, which can affect the quality of the research results. This study recommends improvements in the process of implementing community research and increasing the time allotted to obtain more accurate results that are appropriate to the needs of children. Furthermore, the study emphasizes that decisions made by judges can provide better recovery and rehabilitation for children
Drug Abuse and Women’s Involvement in Drug-related Crimes in Bangladesh and Indonesia: A Comparative Analysis
Full text linkThis article attempts to examine in what manner women are involved in drug-related crimes and explores the factors and scenarios of drug abuse to compare two Southeast Asian countries, Bangladesh and Indonesia. Drug abuse and drug peddling are an uprising phenomenon in recent society. Drugs are scattered in every corner in all the divisions in Bangladesh. Additionally, Indonesia has the highest rates of women’s drug addiction. Women’s involvement in drug-related crime is not a new phenomenon. Studies found that not enough easy access to drugs and the availability of consumers due to curiosity are the main causes of women’s involvement in drug peddling. This is a mixed-method study based on secondary analysis, which includes numeric data related to drug abuse and women’s involvement. Some case studies are also captured where study findings portray the increasing status of drug abuse, including women’s involvement. The theory of deviant behaviour is also used to connect with the findings. This study recommends controlling drug abuse among all addicted people, especially women’s involvement
Studi Komparatif Perlindungan Hukum dan Pengaturan Scalping Tiket Konser K-Pop di Indonesia dan Korea Selatan
Full text linkThe practice of purchasing tickets for resale at higher prices (scalping) is increasingly prevalent in Indonesia, but to date there are still no specific regulations, unlike South Korea, which has specifically regulated this practice. This research uses a quantitative approach with a normative-empirical comparative study, with data obtained from legal documents, official reports, and scientific literature. Based on this research, it can be concluded that there is a gap in legal protection between the two countries. South Korea has a more comprehensive regulatory system through explicit prohibitions in law and the use of technology in ticketing, which has been proven to significantly reduce scalping. In contrast, in Indonesia, regulations still do not provide adequate legal protection and specific provisions for ticket scalping. Indonesia needs to develop more specific regulations and implement a technology-based ticketing system to ensure fair access and consumer protection
Enhanced Detection of Breast Cancer Microcalcifications in MRI via Hybrid LOOP and Haralick Features with Stacked Autoencoder Classification
Full text linkBreast cancer is a prevalent and life-threatening disease among women worldwide, where early detection is crucial for effective treatment. Magnetic Resonance Imaging (MRI) is widely utilized for identifying breast tumors due to its superior sensitivity and spatial resolution. However, accurately detecting microcalcifications—small calcium deposits linked to malignancy—remains a significant challenge with conventional imaging analysis techniques like Haralick texture features alone. To overcome these limitations, this study introduces a novel hybrid feature extraction method that combines Local Optimal Oriented Patterns (LOOP) with Haralick texture descriptors, enhancing the representation of microcalcifications in breast MRI scans. The proposed method includes preprocessing the MRI images using Contrast Limited Adaptive Histogram Equalization (CLAHE) to reduce noise, followed by segmentation performed through morphological operations, multilevel Otsu thresholding, and region-growing approaches to isolate relevant breast tissues. Extracted hybrid features are then input into a Stacked Autoencoder-based Deep Neural Network (DNN) classifier to differentiate between malignant and benign cases. An experimental evaluation was conducted on a BI-RADS MRI dataset comprising over 900 clinical breast images. The hybrid feature extraction approach demonstrated improved diagnostic performance compared to traditional methods, achieving an accuracy of 95.33%, a sensitivity of 95.81%, a specificity of 94.67%, a positive predictive value (PPV) of 94.82%, and a negative predictive value (NPV) of 94.55%. These results represent a 3.83% accuracy increase over baseline classifiers such as Support Vector Machines (SVM), K-Nearest Neighbours (KNN), and Random Forests (RF). Our findings confirm that integrating LOOP with Haralick features significantly enhances breast cancer detection from MRI images, thereby providing a robust tool to assist clinicians in early diagnosis and improving patient outcomes