bluuebunny/crossref_metadata_2025 huggingface dataset:
Development and characterization of phytosomes containing aegle marmelos (bael)
Authors: Rajendra  , Kumar Kapil , Joshi Aparna , Negi Anjali , Rajput Vaishali
Published: November 2023

Aegle marmelos, commonly known as Bael, is a medicinal plant with a wide range of pharmacological properties. However, its therapeutic potential is often limited by its poor bioavailability due to low water solubility and inefficient absorption. Phytosomes, a novel drug delivery system, have emerged as a promising approach to improving the bioavailability and efficacy of herbal extracts. In this study, we aimed to develop and characterize phytosomes containing Aegle marmelos extract for enhanced therapeutic benefits. The phytosomes were prepared using a solvent evaporation technique, where phospholipids were complexed with the Aegle marmelos extract. The formulation was evaluated using various ratios of phospholipids and extract to achieve maximum entrapment efficiency and drug-loading capacity. The resulting phytosomes were then characterized for their physicochemical properties, including particle size, zeta potential, and morphology using techniques such as dynamic light scattering and transmission electron microscopy. Furthermore, the in vitro release profile of the Aegle marmelos phytosomes was evaluated using a dissolution apparatus to determine their sustained release behavior. The improved dissolution profile indicated prolonged drug release, suggesting enhanced bioavailability and potential for reduced dosing frequency. In conclusion, our study successfully developed and characterized phytosomes containing Aegle marmelos extract, showing improved bioavailability and enhanced cellular uptake. These findings indicate the potential of phytosomes as a promising drug delivery system to optimize the therapeutic benefits of Aegle marmelos and potentially other herbal extracts.
Keywords: Phytosomes, extract, evaluation.
Fashion Recommendation System using Collaborative Filtering
Authors: Syiam Muhammad Khiyarus , Wibowo Agung Toto , Setiawan Erwin Budi
Published: November 2023

Collaborative Filtering is an method used to build a recommendation system with the concept that conclusions from different clients are used to anticipate things that may be of interest to users. This research uses data from Rent the Runway and the method used is Item-based Collaborative filtering, where the system will look for similarities in products that have been purchased by customers and then look for predictive values. Fashion requires recommendations because it plays a crucial role in helping individuals express their identity, personal style, and personality through clothing choices, accessories, and dressing styles.The recommendation system uses the item method based on analyzing the number of purchases or sales and grouping according to each product category so that it can help consumers in choosing fashion products. It was found that the use of Adjusted Cosine Similarity produces better recommendations with an average MAE value of 0.2750, while Cosine Similarity with an average MAE difference of 0.3989. This proves that the use of adjusted cosine similarity can produce better recommendations because the adjustment algorithm not only considers user behavior, but also produces lower performance errors.
Klasifikasi Hama Serangga pada Pertanian Menggunakan Metode Convolutional Neural Network
Authors: Akram Ar'rafi , Fayakun Kun , Ramza Harry
Published: November 2023

Insect pest attacks pose a serious threat that can potentially cause significant losses in agricultural production. Therefore, the effective recognition and control of insect pests are crucial for maintaining agricultural productivity and quality of yields. With the advancement of computer technology and artificial intelligence, computer technology can be utilized to automatically recognize images in object recognition, particularly for insect pest classification using the Convolutional Neural Network (CNN) method with the Xception architecture. CNN is one of the types of deep feed-forward artificial neural networks widely used in digital image analysis and can process data in the form of grid patterns. CNN consists of three types of layers: convolutional layer, pooling layer, and fully connected layer. The use of CNN in this research aims to facilitate the classification of insect pests. The CNN process involves stages of training, testing, and validation on insect pests to determine the classification of images of various insect pest species. This research utilizes 1363 image samples with 13 classes of insect pests. The training process of CNN involves several parameters such as batch size, number of epochs, learning rate, and optimizer. The experiment's results indicate that the best accuracy achieved by this model is 93.81% during the training phase and 81.75% during the validation phase. This demonstrates that the model successfully performs insect pest classification using the CNN method.
Prediction Retweet Using User-Based and Content-Based with Artificial Neural Network-Harmony Search
Authors: Saputra Rizky Ahmad , Jondri Jondri , Lhaksmana Kemas Muslim
Published: November 2023

Online social networking services allow users to post content in the form of text, images or videos. Twitter is a microblogging social networking service that enables its users to send and read text-based messages of up to 140 characters. Retweet is one of the features in Twitter that is important in disseminating information, popular tweets reflect the latest trends on Twitter, the main mechanism that encourages information dissemination is the possibility for users to re-share content posted by their social connections, then it can flow throughout the system. Retweets happen when someone republishes or forwards a post to their homepage and personal profile. Most retweets are credited to the original author of the original post. The retweet prediction system uses an Artificial neural network optimized for Harmony search with tweets about the Jakarta-Bandung Fast Train, which shows the best results when the oversampling method has been carried out with an f1 score of 96.8%.
Rekomendasi Content Creator Terbaik sebagai Pendukung Keputusan Penilaian pada Agensi Menggunakan Metode TOPSIS
Authors: Suni Eugenius Kau , Sutresno Stephen Aprius
Published: November 2023

As an agency, it is necessary to evaluate and assign value to the content outcomes that have been published by content creators periodically. Aurora News Agency, which is one of the content creator agencies for Snack Video, has over 700 member content creators. This requires specialized techniques to facilitate and expedite the assessment of the performance of these content creators. Therefore, research was conducted on a decision support system using the TOPSIS method as a decision-making tool for evaluating the best content creators within the agency. Data was collected from a total of 630 content creators, and after undergoing data cleansing processes, a total of 10,916 content items were obtained. The research results present a ranking of the top 10 content creators based on their preference scores, ranging from the highest to the lowest. Anemz Tv is the content creator with the highest preference score of 0.4368, securing the first rank. On the other hand, Talenta.TV is the content creator with a preference score of 0.3203, earning the second rank. Upon analysis, differences in strategies for each content creator became apparent, with some focusing on quantity and others placing emphasis on the quality of content. In conclusion, the application of the TOPSIS method can be implemented relatively simply, with sufficiently fast computations, and it yields a diverse range of preference scores
Polyp Identification from a Colonoscopy Image Using Semantic Segmentation Approach
Authors: Rafi Wahyu Hauzan , Sulistiyo Mahmud Dwi , Hadiyoso Sugondo , Wisesty Untari Novia
Published: November 2023

Colorectal Cancer (CRC) is a major contributor to cancer-related mortality worldwide, necessitating early detection and treatment of polyps to prevent cancer progression. A colonoscopy is a critical diagnostic procedure for identifying colon abnormalities and removing premalignant polyps. However, accurately segmenting polyps in colonoscopy images poses challenges due to their diverse appearance and indistinct boundaries. In this study, we investigate augmentation techniques to enhance polyp semantic segmentation using the U-Net model. Our analysis reveals that the most effective technique is found in sub-scenario 2.6.c with an input size of 320×320, striking a favorable balance between accuracy and efficiency. Additionally, we explore the benefits of larger input sizes, taking into account resource considerations. Moreover, we conduct further testing of the best augmentation technique identified in previous experiments with the SegNet model. The results show a 3.5% improvement in the dice coefficient and slightly better qualitative outcomes. However, it is important to note that this enhancement comes with a nearly fivefold increase in training time. Moving forward, our objective is to develop a unified model for segmenting diverse medical images, pushing the boundaries of polyp detection and medical imaging. This research provides valuable insights and lays the foundation for more advanced applications in polyp detection and medical image analysis.
Implementasi Metode Simple Multi Attribute Rating Technique (SMART) dalam Pemilihan Zona Prioritas dan Alternatif Berbasis Data Klasifikasi Indeks Vegetasi
Authors: Singgalen Yerik Afrianto
Published: November 2023

Vegetation index analysis using the Normalized Difference Vegetation Index (NDVI) model needs to be processed using a decision support model to follow up on the Landsat 8/9 Operational Land Imaginer (OLI) satellite image data interpretation results. However, studies using the Simple Multi-Attribute Rating Technique (SMART) method to determine priority zones based on vegetation index classification data are still limited. This study uses the SMART decision support model to process NDVI classification data in mangrove areas. The stages in this study consist of four parts: the data collection stage, the data processing stage; the data analysis stage; and the data interpretation stage. At the data collection stage, the raster data used was sourced from the United States Geology Survey (USGS) platform, namely Landsat 8/9 OLI with coordinate raster data (Lat 01o43'18" N, Lon: 128o04'15" E) in 2013, 2018, and 2023. In addition, video and aerial photographs at the study site were taken using drones (Phantom 4 Version 2). At the data processing stage, the model used in calculating raster data is NDVI using the QGIS 3.30.1 application. This research data analysis and interpretation stage uses the SMART decision support model. The SMART decision support model is used to produce recommendations for priority zones for mangrove ecotourism development based on the results of the NDVI classification (minimum value, average value, maximum value) adjusted to the Decree of the State Minister of Environment Number 201 of 2004 concerning standard criteria and guidelines for mangrove forest destruction (rare, medium, and dense). Based on the calculation of the utility value of criterion C1 as a  cost with a weight of 0.50 in the NDVI classification data for 2023, the second observation station is recommended as a priority zone with a total value of 0.50. Meanwhile, the calculation of the utility value of criterion C3 as a  cost with a weight of 0.50  in the  NDVI classification data in 2023 recommended the third observation station as a priority zone with a total value of 0.88. This means that the SMART method can be used to identify and analyze priority and alternative zones for the sustainable development of mangrove ecotourism areas.
Implementation of Hyperparameters to the Ensemble Learning Method for Lung Cancer Classification
Authors: Yanuar Ridlo , Sa’adah Siti , Yunanto Prasti Eko
Published: November 2023

Lung cancer is the most common cause of death in someone who has cancer. This happens because of remembering the importance of lung function as a breathing apparatus and oxygen distribution throughout the body. Early identification of lung cancer is crucial to reduce its mortality rate. Accuracy is crucial since it indicates how accurately the model or system makes the right predictions. High levels of accuracy show that the model can produce trustworthy and accurate findings, essential for making effective decisions based on available data. In this research, ensemble learning approaches, namely bagging and boosting methods, were employed for classifying lung cancer. Hyperparameters, a class of parameters, are crucial to this model's effectiveness. In order to increase the lung cancer classification model's accuracy, a thorough investigation was conducted to identify the best hyperparameter combination. In this study, the dataset used is a medical dataset that contains a history of patients who have been diagnosed with lung cancer or not. The dataset is taken from Kaggle mysarahmadbhat and cancerdatahp from data world. To evaluate the model's accuracy, this study used the confusion matrix method which compares the model's prediction results with the ground truth. the study findings revealed that employing a dataset split ratio of 70:30 produced the best results, with the Random Forest, CatBoost, and XGBoost models achieving an impressive 98% accuracy, 0.98 precision, 0.98 recall, and 0.98 f1-score. but for AdaBoost, the best results were obtained on a dataset with a ratio of 80:20 with an accuracy of 96%, 0.97 precision, 0.96 recall, and 0.96 f1-score
Classification of Fruits High in Vitamin C Using Self-Organizing Map and the K-Means Clustering Algorithm
Authors: Chusna Nuke L , Nugroho Nurhasan , Riyanto Umbar , Aldino Ahmad Ari
Published: November 2023

Vitamin C-rich fruits not only taste fresh and delicious but also have the potential to increase the body's resistance to various diseases and maintain a proper nutritional balance. Information about fruits high in vitamin C is very important in order to increase public knowledge about which fruits contain high levels of vitamin C. However, to classify fruits high in vitamin C based on their image, a model is needed that is able to analyze the characteristics present in the image of the fruit. The purpose of this study is to build a classification model for high-vitamin C fruits with a combination of the Self-Organizing Map (SOM) artificial neural network algorithm and K-Means Clustering. Prior to classification, an image segmentation process is carried out using the K-Means Clustering algorithm, which will separate the image into parts that have similar visual characteristics. After the segmented image, the features of the object are extracted based on shape and texture. After the features of the image have been obtained, proceed with classifying images using the SOM algorithm by mapping multidimensional data into a lower-dimensional spatial representation to obtain the appropriate group or class. The accuracy test results for the built model produce an accuracy value of 93.33% and are included in the good category
Analisis Hasil Implementasi Multi-Attribute Utility Theory (MAUT) dalam Pengemasan Paket Wisata Tematik
Authors: Singgalen Yerik Afrianto
Published: November 2023

The travel industry plays a vital role in maximizing the marketing of tourist destinations, but the process of determining tour packages must consider consumer purchasing power concerning destination ticket prices, distance and travel time, availability of accommodations and amenities services, and regulations. This study seeks to use the Multi-Attribute Utility Theory (MAUT) decision support model to tourist case studies from Ternate City to determine superior tour packages. In the meantime, the context of destinations, accommodation services, and transportation services is incorporated into the use of the MAUT decision support model. The following criteria are established based on the category of the location: entrance fee; facilities and infrastructure; local tour guides; type of activity at the destination; Security, and Hygiene. The following criteria are established based on the category of lodging services: standard room rate, property amenities, room features, room type, and services. In addition, the criteria established based on the category of transportation services are as follows: rental pricing; car type; vehicle amenities; driver experience. The findings of this study indicate that A5 tourist destinations are recommended, with a total value of 0.90, based on destination category, criteria and criteria values related to ticket prices (10), facilities and infrastructure (20), availability of local tour guides (10), diversity of activities (20), safety (20), and cleanliness (20). In addition, based on the criteria and weights related to standard room rental costs (20), property amenities (20), room features (20), room type (10), and services (30), we propose A1 with a total value of 0.85 in the accommodation services category. In the field of transportation services, we offer A2 with a total score of 0.83 based on criteria and weights relating to rental price (25), vehicle type (25), car amenities (25), and driver experience (25). Using the MAUT decision support model, it is evident that the packaging of tour bundling becomes more effective and efficient
Penerapan Algoritma K-Means Clustering untuk Daerah Penyebaran Sampah Kelurahan
Authors: Gusta Nugraha Yantria , Maimunah Maimunah , Sukmasetya Pristi
Published: November 2023

Waste in Indonesia, especially in Magelang City, has become a serious problem due to rapid population growth. Waste management issues, including landfills and collection, need effective handling. Data mining methods, such as K-Means clustering, can help identify areas with the highest levels of waste generation. This approach provides insights for the development of a more focused and efficient waste management strategy, a significant contribution to the improvement of Magelang City. By identifying the areas with the highest waste generation, waste management measures can be directed more efficiently and effectively. This includes increasing the transparency, capacity, and role of waste banks, as well as other efforts to reduce the negative impact of waste on the environment and human health. After clustering, the waste in Magelang City was grouped into 3 clusters according to the supplier area and the volume of waste. Then after the evaluation stage with the silhouette score displays a value of 0.79 which is a good value because it is close to the value of 1.0. With this method, it is expected that the city government in handling waste in Magelang city can be done optimally, efficiently, and on target
Penerapan Data Mining dalam Implementasi Algoritma K-Means Clustering untuk Pelanggan Potensial pada Koperasi Simpan Pinjam
Authors: Rifqi Ahmad , Aldisa Rima Tamara
Published: November 2023

Apart from that, there are efforts to provide for the needs of its members as well as financial assistance for education, health and there are also concessions needed by the members. By conducting this customer cluster, it will help the company determine its potential customers so that it can implement the right marketing strategy for each type of existing customer, and will certainly provide benefits for the company in increasing the quality and loyalty of customers towards the company. Data mining has functions, namely prediction, description, classification and clustering functions. Data mining also has many methods for its application, one of these methods is K-Means. The K-Means Clustering algorithm can be implemented in grouping potential customers, especially in savings and loan cooperatives. Based on the data sampling used, the data can be grouped into 2 (two) clusterings.
Analisa Perbandingan Complate Linkage AHC dan K-Medoids Dalam Pengelompokkan Data Kemiskinan di Indonesia
Authors: Sachrrial Rifqi Habibi , Iskandar Agus
Published: November 2023

The poverty rate in Indonesia has increased from 9.54 percent in March 2022 to 9.57 percent in September 2022 due to inflation and low wages and people's incomes. To overcome this problem, steps such as providing social assistance, creating decent jobs, and increasing wage standards are needed to increase people's purchasing power and reduce poverty in the future. The government needs to pay special attention to provinces with high poverty rates through special programs and efforts to increase income and the economy in these areas. Data Mining is a solution in solving this problem by utilizing the clustering method which is known as the clustering method. The clustering method used in this study is the AHC method and the K-Medoids method. In order to determine the provinces with the highest number of poor people, the AHC and K-Medoids clustering methods will be applied separately so that the final results of each will be analyzed. The results of the analysis show the formation of three clusters with different cluster locations. The application of the AHC method resulted in cluster 2 with the largest number of provinces, namely 22 provinces, followed by cluster 0 with 9 provinces, and cluster 1 with only 3 provinces. While the application of the K-Medoids method resulted in cluster 1 with the largest number of provinces, namely 22 provinces, followed by cluster 0 with 9 provinces, and cluster 2 with only 3 provinces. Although the location of the clusters is different between the two methods, the number of provinces in the cluster is the same so that a cluster with a total of 3 provinces is declared the province with the largest number of poor people.
Singapore’s Experience in Managing the COVID-19 Pandemic: Key Lessons from the Ground
Authors: Koh Eugene TC , Fong Kok Yong , Chong Si Jack , Koh Yvonne , Tan Joshua WX , Chua Raymond , Dan Yock Young , Heng Derrick , Mak Kenneth
Published: November 2023

Singapore managed the COVID-19 pandemic in the past three years and gleaned valuable lessons on patient management when the public healthcare system was inundated with COVID-19 patients. There were several initiatives, which included setting up of community treatment facilities to help hospitals manage in-patient loads that did not require acute monitoring, leveraging telemedicine, and developing heuristics to sort patients based on their clinical disposition to various care pathways and to effectively manage patients of different medical needs. These initiatives were implemented in the second year of the epidemic in 2021 and did not include the dormitory-based migrant workers and migrant workers in the construction, maritime and production sectors who were under the care of the Assurance, Care and Engagement Group (ACE) in the Ministry of Manpower that had its own set of treatment management measures. The different care pathways ensured that patients received appropriate levels of care and allowed healthcare facilities to focus on more acute cases. In 2022 alone, 23,159 patients were discharged from community treatment facilities against the background of 1.9 million COVID-19 patients. These initiatives would not be possible without the oversight of an advisory board comprising senior leadership from the healthcare clusters and the Ministry of Health to align clinical governance with medical policies, and prompt and immense support from medical specialist panels. The strong public-private partnership forged in the process was instrumental in the successful operation of community facilities and implementation of patient care protocols, coupled with harnessing information technology and leveraging on emerging data to refine care protocols.
Development of Stakeholder Satisfaction Dimensions for the Implementation of Development Planning Deliberations (Musrenbang) in East Kutai Regency
Authors:   University of Merdeka Malang, Indonesia, Mulyadi Ery , Ngarawula Bonaventura ,   University of Merdeka Malang, Indonesia, Wahyudi Catur ,   University of Merdeka Malang, Indonesia
Published: November 2023

The Development Planning Conference (Musrenbang) is an important stage in the development planning process in Indonesia, where related parties gather to discuss and formulate development programs and projects that will be implemented. This research aims to identify and analyze the development of dimensions of stakeholder satisfaction regarding the implementation of Musrenbang in East Kutai Regency. The stakeholder satisfaction dimension includes various aspects that influence their perception and satisfaction with the Musrenbang process. This research uses qualitative methods with data collection techniques in the form of interviews, observation and document analysis. The research results show that the implementation of Musrenbang in East Kutai Regency has experienced positive developments in terms of participation and effectiveness. Stakeholders, including local governments, communities, non-governmental organizations (NGOs), and the private sector, feel that they have a stronger voice in the development planning process. This is reflected in the increasingly high level of participation, where stakeholders feel more involved in preparing development plans. However, this research also reveals several challenges that are still faced in implementing Musrenbang. One of the main challenges is managing conflicts between various stakeholders who have different interests. This research uses a mixed quantitative and qualitative approach. Data collection methods are through surveys, interviews and FGD. Involving 150 respondents and 6 key informants from stakeholders and the community. In addition, this research highlights the importance of transparency and accountability in the Musrenbang process. Stakeholders emphasized the need for better access to information related to development plans, budgeting and project implementation. Thus, local governments need to increase transparency in the implementation of Musrenbang and ensure that the information is easily accessible to all parties. This research also provides recommendations for further development in the implementation of Musrenbang in East Kutai Regency. This recommendation includes efforts to increase stakeholder participation, strengthen conflict resolution mechanisms, and increase transparency in the development planning process. In conclusion, developing dimensions of stakeholder satisfaction regarding the implementation of Musrenbang in East Kutai Regency is a positive step in increasing participation and effectiveness of the development planning process. Factors influencing Musrembang tend to be participation and inclusiveness. So that methods for achieving dimensions of satisfaction can be found in this research.
Socio-Economic Development of Ethnic Minority in Lai Chau Province
Authors:   University of Labor and Social Affairs, Hong Dr. Dong Thi , Giang Dr. Le Huong ,   University of Labor and Social Affairs, Thuy Dr. Doan Thanh ,   University of Labor and Social Affairs
Published: November 2023

Very small ethnic minorities are ethnic groups with a population of less than 10,000 people. Currently, the whole country has 16 ethnic minorities with very few people (Si La, O Du, Brau, Ro Mam, Pu Peo, Cong, Mang, Bo Y, Lo Lo, Co Lao, Ngai, Lu, Pa Then, Chut, La Ha, La Hu), living scatteredly in 32 provinces and cities across the country. The common point of the very few ethnic minorities is that most reside in particularly difficult areas, the "poor core" of the country. In Lai Chau, there are 3 ethnic groups: Cong, Mang, La Hu, 3 ethnic groups with extremely few people and extremely difficult economic conditions. Requires strategic attention from Lai Chau province during the period of integration and development.
Intellectuals with Neutral Views in South Vietnam Towards the Policies of the Republic of Vietnam Government (1955 1960)
Authors:   Saigon University, Vietnam, Vinh Pham Phuc , Phuong Ngoc Doan Duong ,   Graduate students, Saigon University, Vietnam
Published: November 2023

During the period 195 5 1960, in South Vietnam, a section of intellectuals gradually formed with a neutral viewpoint, expressing opposition to the war, desiring peace and unification of the country, and demanding Expand freedom, civil rights, and democracy. These views are pub licly expressed through political struggle activities, attracting the participation and support of a segment of society, creating a premise for the formation and development of the third force that follows. This is a force wit h a peace loving spirit, they are gathered by many forces in society, from students, celebrities, intellectuals, religious dignitaries or possibly religious leaders, the people who are participating in activities in the government of the Republic of Vietnam. The article analyzes the c ontext and political struggle activities demanding that the government of the Republic of Vietnam expand civil rights and democracy, implement the Geneva agreement , end the war, and restore peace in South Vietnam of intellectuals with neutral views during the period (195 5 1960).
Metacognitive Awareness and Self-Regulated Learning toward Students’ Academic Achievement: Prediction study
Authors:   English Education Department, Teachers Training and Education Faculty, Universitas Mercu Buana Yogyakarta, Yogyakarta, Indonesia, Dangin Dangin , Setyawan Agustinus Hary ,   English Education Department, Teachers Training and Education Faculty, Universitas Mercu Buana Yogyakarta, Yogyakarta, Indonesia, Hartati Elysa ,   English Education Department, Teachers Training and Education Faculty, Universitas Mercu Buana Yogyakarta, Yogyakarta, Indonesia
Published: November 2023

This study was intended to find the relationship among metacognitive awareness and self-regulated learning as independent variables and students’ achievement/GPA as dependent variable. The study took senior college students as the sample from two private Indonesian universities. Thereupon, this study also was aimed to find whether students’ metacognitive awareness and self-regulated learning could be predictors of students’ achievement/ GPA. The study used Metacognitive Awareness Inventory and questionnaire to get the data of students’ metacognitive awareness and self-regulated learning. The results showed that there were positive correlations between students’ metacognitive awareness and self-regulated learning on academic achievements. The study also revealed that both metacognitive awareness and self-regulated learning could be predictors for academic achievement as many as 24.8%.
Taxpayer Compliance in Paying Motor Vehicle Tax at Pesawaran Regency
Authors:   Faculty of Economics and Business, University of Lampung, Lestari Intannia , MS Mahrinasari ,   Faculty of Economics and Business, University of Lampung, Pandjaitan Dorothy Rouly Haratua ,   Faculty of Economics and Business, University of Lampung
Published: November 2023

The results of this study aim to determine tax compliance behavior using the theory of planned behavior towards motor vehicle taxes in the Pesawaran Regency. Furthermore, several factors are thought to influence tax compliance behavior, namely, taxpayer attitudes, trust in government, and tax information. The population in the study was motor vehicle taxpayers in Pesawan Regency, who were sampled using the purposive sampling technique of 343 respondents. Subsequently, data processing was performed by structural equation modeling analysis using the LISREL application. The results showed that tax compliance intentions were more influenced by trust in the government than by tax information and taxpayer attitudes. Tax compliance behavior is influenced more by tax compliance intentions than by tax information. This shows that taxpayers’ motivation to pay taxes increases their tax compliance. Furthermore, the tax bleaching policy strengthens the relationship between taxpayer attitudes towards tax compliance intentions, trust in the government towards tax compliance intentions, and tax information towards tax compliance intentions. The tax bleaching policy is a promotional part of marketing adopted in this study to explain the role of tax bleaching, which can increase taxpayers’ tax payments.
KEPUASAN MAHASISWA DOSEN DAN TENAGA KEPENDIDIKAN TERHADAP KUALITAS LAYANAN PROGRAM DOKTOR ILMU EKONOMI UNIVERSITAS TRISAKTI
Authors: Murwaningsari Etty , Amin Muhammad Nuryatno
Published: November 2023

Penelitian ini mengangkat permasalahan kepuasan mahasiswa, dosen dan tenaga pendidikan terhadap kualitas layanan Program Doktor Ilmu Ekonomi Fakultas Ekonomi dan Bisnis Universitas Trisakti Jakarta Tahun 2020/2021. Tujuannya adalah untuk mendeskripsikan kepuasan mahasiswa, dosen dan tenaga pendidikan terhadap kualitas layanan Program Doktor Ilmu Ekonomi Ekonomi dan Bisnis Universitas Trisakti Jakarta Tahun 2020/2021.Penelitian ini menggunakan pendekatan riset kuantitatif dan bersifat deskriptif. Sampel berupa mahasiswa, dosen dan tenaga kependidikan, dan ditentukan secara convenience. Data dianalisis secara deskriptif. Hasil penelitian memperlihatkan bahwa mahasiswa, dosen dan tenaga kependidikan sangat puas terhadap kualitas layanan Program Doktor Ilmu Ekonomi Ekonomi dan Bisnis Universitas Trisakti Jakarta Tahun 2020/2021, masing-masing sebesar 96%, 89% dan 98%. Implikasi dari penelitian adalah ke depan Program Doktor Ilmu Ekonomi Ekonomi dan Bisnis Universitas Trisakti Jakarta harus dapat mempertahankan capaian kualitas layanannya kepada mahasiswa, dosen dan tenaga kependidikan.
PERANCANGAN BUSINESS ARCHITECTURE, STRATEGI PEMASARAN PADA DESTINASI WISATA UKM KAMPUNG BATIK LAWEYAN
Authors: Sugiarti Sugiarti
Published: November 2023

Semakin tingginya persaingan bisnis UMKM pada era teknologi saat ini membuat para pelaku UMKM harus berusaha lebih keras dalam meningkatkan keuntungan, meningkatkan kualitas produk dan layanan, memperluas pangsa pasar dan memelihara loyalitas pelanggan. Adapun cara yang dapat dilakukan oleh UMKM adalah dengan meningkatkan efisiensi dan efektifitas pada proses bisnis UMKM itu sendiri melalui penerapan arsitektur bisnis, strategi pemasaran yang dapat membantu UMKM dalam menjalankan bisnisnya. Untuk mewujudkan proses bisnis yang berkesinambungan maka dibutuhkan suatu keselarasan antara proses bisnis, fungsi pemasaran  yang mampu dapat mendukung, meningkatkan, mengubah atau bahkan menemukan suatu bisnis proses atau sistem bisnis dalam menciptakan nilai lebih bagi pelanggan baru maupun pelanggan eksisting atau lebih dikenal sebagai konsep strategi pemasaran, dan arsitektur bisnis.  Sesuai dengan dilakukannya penerapan arsitektur bisnis, fungsi pemasaran terhadap UKM kampung batik Laweyan maka diusulkan suatu model umum arsitektur bisnis yang dapat digunakan oleh UMKM (produksi barang, penyedia jasa dan penjualan barang) dengan cara menerapkan strategi pemasaran
PENGARUH KOORDINASI TERHADAP EFEKTIVITAS KERJA KARYAWAN PADA KOPERASI SEHATI MAKMUR ABADI BELITANG OKU TIMUR
Authors: Darmanah Darmanah , Saputra Wahid Eka
Published: November 2023

Kegiatan operasional perusahaan salah satu  kegiatan yang dilakukan oleh pimpinan adalah fungsi koordinasi.  Dalam melakukan koordinasi pegawai pada setiap pekerjaan. Koordinasi merupakan suatu kegiatan dari satuan kerja organisasi sebagai kesatuan yang utuh untuk melaksanakan semua tugas organisasi dalam mencapai tujuannya. Karena koordinasi yang baik dilakukan pada masing-masing individu akan menyadari bahwa karyawan  harus bisa memahami tugas-tugas mereka sebagai pegawai. Dalam hal ini harus mengetahui sebenarnya tugas pegawai sangat membantu usaha dalam mencapai tujuan. Permasalahan yang ada pada Koperasi Sehati Makmur Abadi Belitang OKU Timur adalah “ Bagaimana pengaruh Koordinasi terhadap Efektivitas Kerja Karyawan pada Koperasi Sehati Makmur Abadi Belitang OKU Timur, dan tujuan yang dicapai adalah untuk mengetahui pengaruh Koordinasi terhadap Efektivitas Kerja Karyawan. Hipotesis yang diajukan adalah “Adanya pengaruh yang kuat antara Koordinasi terhadap Efektivitas Kerja Karyawan pada Koperasi Sehati Makmur Abadi Belitang OKU Timur”.
PENGARUH MOTIVASI TERHADAP KINERJA KARYAWAN PADA KOPERASI SEHATI OGAN KOMERING ULU TIMUR
Authors: Sari Sri Sarwo , Rusilawati Tri
Published: November 2023

Didalam mendukung kemajuan dan pengembangan suatu organisasi sangat perlu dilakukan dengan sungguh-sungguh dan terus menerus di segala bidang dan semua aspek kehidupan. Tersedianya sumber daya manusia yang berkualitas dan memiliki etos kerja yang tinggi merupakan modal utama suatu organisasi untuk dapat sejajar dengan organisasi lainnya. Tanpa adanya pribadi-pribadi dari masing-masing individu untuk berusaha maju tanpa perlu dipaksa maka suatu organisasi tersebut tidak berarti apa-apa.  Pada Koperasi Sehati Ogan Komering Ulu Timur, ternyata motivasi belum dilaksanakan dengan baik sehingga Kinerja karyawan belum optimal. Permasalahan yang dihadapi adalah bagaimana pengaruh motivasi terhadap kinerja karyawan pada Koperasi Sehati Ogan Komering Ulu Timur. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh motivasi terhadap kinerja karyawan pada Koperasi Sehati Ogan Komering Ulu Timur serta berguna sebagai bahan acuan untuk penelitian selanjutnya mengenai motivasi dan Kinerja karyawan. Hipotesis yang diajukan, Motivasi berpengaruh positif terhadap kinerja karyawan pada Koperasi Sehati Ogan Komering Ulu Timur. Pengumpulan dan pengolahan data dengan menggunakan studi pustaka dan studi lapangan dengan menggunakan cara observasi, kuisioner, interview dan dokumentasi.Dari hasil pembahasan diperoleh korelasi antara motivasi dalam upaya meningkatkan kinerja karyawan pada Koperasi Sehati Ogan Komering Ulu Timur  diperoleh angka r sebesar 0,57. Setelah dikonsultasikan dengan standar konservatif  terletak antara 0,400- 0,599 yang termasuk pada korelasi sedang. Sehingga dapat dikatakan bahwa adanya pengaruh yang sedang antara motivasi terhadap kinerja karyawan  pada Koperasi Sehati Ogan Komering Ulu Timur.
EFFECTIVENESS OF USING CANDLESTICK PATTERN AND DIVERGENCE ANALYSIS TECHNIQUES IN READING FOREX MARKET PRICE MOVEMENTS
Authors: Kudadiri Fajra Insani , Albertus Redy Herinanto , Affan Junaidi
Published: November 2023

This study aims to determine the effectiveness of candlestick pattern signals and divergence signals in providing returns, and to compare the two signals in providing returns. The population in this study were the major currency pairs. The data used is secondary data taken from observations on forex market price movements from 2015 to 2019 totaling 100 data. Thestatistical tests used in this study are, the one sample t-test, and the independent t-test. The one sample t-test was used to test hypothesis 1 and hypothesis 2, while the independent t-test was used to test hypothesis 3. The results showed that: candlestick patterns in the majority of results show a positive and significance,  divergence in the majority of results shows a positive and significance, and comparison of divergences with candlestick patterns in the majority of results shows a negative and not significance. Based on the results of this study, the following conclusions are drawn: candlestick patterns are effective in providing returns, divergences are effective in providing returns, and candlestick patterns and divergences are no difference at providing returns.
BEBERAPA FAKTOR PENENTU KEPUTUSAN MENABUNG DI PT BANK SYARIAH INDONESIA KOTA PEKALONGAN
Authors: Hamdani Muliawan , Aldo Adamma I Gede , Pantawis Setyo
Published: November 2023

Bank syariah yang melaksanakan kegiatan operasional di Indonesia bersaing dengan bank konvensional. Hal ini juga dialami oleh PT Bank Syariah Indonesia. Pada kenyataannya, pangsa pasar bank konvensional masih lebih besar dibandingkan dengan bank syariah. Hal ini mengindikasikan bahwa sebagian besar muslim Indonesia lebih memilih jasa bank konvensional. Selain itu, hal ini menjadi bukti bahwa bank syariah masih belum mampu menarik anonimo masyarakat luas. Karenanya, penelitian ini dinilai urgen untuk dilakukan. Populasi penelitian adalah seluruh nasabah tabungan PT Bank Syariah Indonesia di Kota Pekalongan. Teknik sampling yang diterapkan adalah non probability sampling (purposive sampling).  Berdasarkan pengujian yang dilaksanakan, terbukti bahwa Kualitas Pelayanan, Promosi, lan Lokasi berpengaruh positif terhadap Keputusan Menabung. Sedangkan LOkasi adalah variabel yang memiliki pengaruh paling kuat terhadap Keputusan Menabung.Kata Kunci : Kualitas Pelayanan, Promosi, Lokasi dan Keputusan Menabung AbstractIslamic banks (subsequently they are called shariate banks) that carry out operational activities in Indonesia must compete with conventional banks. It is also experienced by PT Bank Syariah Indonesia. In real fact, the market share of conventional banks is still greater  than  Islamic banks. It  indicates that most Indonesian Muslims prefer conventional banking services more. In addition,  it indicates that Islamic banks are still not able to attract the interest  of the wider community. Therefore, this research was considered urgent to be carried out. The research population was all savings customers of PT Bank Syariah Indonesia in Pekalongan City. The sampling technique applied was non-probability sampling (purposive sampling). Based on the tests carried out, it wass proven that Service Quality, Promotion, and Location positively influenced  Savings Decisions. Meanwhile, Location was the variable that had the strongest influence on  Savings Decision.Keywords: Service Quality, Promotion, Location and Saving Decision
ANALISIS PENGARUH PDRB, JUMLAH PENDUDUK, JUMLAH INDUSTRI, DAN BELANJA DAERAH TERHADAP PENDAPATAN ASLI DAERAH DI KABUPATEN/KOTA PROVINSI JAWA BARAT 2017-2021
Authors: Aji Gunawan Bayi
Published: November 2023

This study reveals the results of a study that analyzes the factors that affect Regional Original Income (PAD) on Gross Regional Domestic Product (GRDP), Number of Industries, Number of Population and Regional Expenditure of West Java Province (2017-2021 period) with the variables used are PAD, GRDP, Number of Industries, Number of Population and Regional Expenditure. The purpose of this study is to determine the extent of the influence of GRDP, the number of industries, the number of population and regional expenditures on PAD. This study uses three methods, namely Common effect model, Fixed effect model and Random effect model through Chow Test, Hausman Test, coefficient of determination, f test, t test. The study found that the results of statistical testing turned out to be all in favor of the existing  hypothesis. That the variables of GRDP, number of industries, population and regional expenditure have a significant effect on PAD. Keywords : Regional Native Food, GRDP, Number of Industries, Number of Population, Shopping Area.
PENGARUH STRES KERJA, LINGKUNGAN KERJA, DAN GAYA KEPEMIMPINAN TERHADAP KEPUASAN KERJA GURU PADA SMK NEGERI 1 PONOROGO
Authors: Munawaroh Siti , Farida Umi , Hartono Sri
Published: November 2023

This study aims to determine the effect of work stress, work environment, and leadership style on teacher job satisfaction at SMK Negeri 1 Ponorogo. The population in this study were all teachers at SMK Negeri 1 Ponorogo, totaling 77 people. and the sample used was 30 respondents. The sampling technique in this study was Nonprobability Sampling using Saturated Sampling. This research uses quantitative research methods. Data collection techniques using observation, interviews/interviews, and questionnaires. To test the instrument using the validity test and reliability test. The data analysis technique uses multiple linear regression analysis and analysis of the coefficient of determination (R2). The results showed that 1) Job Stress has a negative effect on Job Satisfaction with a significance of 0.046. 2) Work environment has a positive effect on job satisfaction with a significance of 0.014. 3) Leadership style has a positive effect on job satisfaction with a significant value of 0.000. 4) Job Stress, Work Environment, and Leadership Style simultaneously influence Job Satisfaction by 49.3% and the remaining 50.7% are influenced by other variables outside the variables in this study.
PENGARUH LINGKUNGAN KERJA, BUDAYA ORGANISASI, DAN KOMPENSASI TERHADAP KEPUASAN KERJA KARYAWAN SWALAYAN BAHARI JAMBON PONOROGO
Authors: Noviana Putri Rizki Yogi
Published: November 2023

This study aims to determine the effect of work environment, organizational culture and compensation on job satisfaction of employees of Swalayan Bahari Jambon Ponorogo. The method used by researchers in this study is a quantitative method. The data from this study were obtained from distributing questionnaires to respondents. Analysis using SPSS 22.00 software. The population in this study were all employees of the Jambon Bahari Supermarket, Ponorogo. The sample in this study amounted to 45 respondents using the probability sampling method using the saturated sampling technique. This study uses quantitative data types, with several data analysis methods namely validity test, reliability test, multiple linear regression test, coefficient of determination, iT test, and F test. The results of this study show 1) the work environment has a negative and not significant effect on job satisfaction, 2) organizational culture has a positive and significant effect on job satisfaction, 3) compensation has a positive and significant effect on job satisfaction, 4) work environment, organizational culture, and compensation has a positive and significant effect on job satisfaction.
Pengaruh Kepuasan Kerja Dan Komitmen Organisasi Terhadap Organizational Citizenship Behavior
Authors: Novitasari Novitasari , Yansahrita Yansahrita
Published: November 2023

This study aims to determine the effect of job satisfaction and organizational commitment on organizational citizenship behavior. This study is a correlational study by taking samples of employees of the Administration at SMK Negeri 1 Semendawai Tribe III. The data collection method uses survey methods and data analysis uses multiple regression analysis. This study found that job satisfaction variable has a positive and significant effect on organizational citizenship behavior, while organizational commitment has no significant effect.Keywords: job satisfaction, organizational commitment, organizational citizenship behavior
ANALISIS PENGARUH PROFITABILITAS, LEVERAGE DAN RISIKO BISNIS TERHADAP STRUKTUR MODAL PADA PERUSAHAAN NON KEUANGAN DI BURSA EFEK INDONESIA
Authors: Mahaputri Rizki Kurnia , Kartika Yuni
Published: November 2023

This study aims to determine the effect of firm size and liquidity on capital structure partially and simultaneously. This research was conducted because there were inconsistencies in the results of previous studies. The data used is secondary data using a sample of 67 samples of Non-Financial Blue Chip companies listed on the Indonesia Stock Exchange in 2017-2020. Sampling was carried out using purposive sampling. This study uses a quantitative approach and the analysis technique used is multiple linear regression analysis. The results showed that the independent variables of firm size and liquidity had an effect on capital structure both partially and simultaneously.Keywords: Company Size, Liquidity, Capital Structure, Blue Chip, Non-financial
Why Patients Do Not Respond to Anti-Hypertensive Medications When their Systemic Pressure is High?
Authors:   Infectious Diseases, General Practice, Nutrition, Acupuncture and Pain Management Specialist. Medical Acupuncture and Pain Management Clinic, Franca, São Paulo, Brazil, Ling Huang Wei
Published: November 2023

Hypertension is a chronic persistent elevation of systemic arterial pressure. In this article, I am showing that patients with hypertension have energy deficiency inside the five internal massive organs of the five elements theory of traditional Chinese medicine and the use of anti-hypertensive medications can harm even more this internal energy and can worse the energy \deficiency condition, causing non improvement of hypertension.