bluuebunny/crossref_metadata_2025 huggingface dataset:
Tinjauan Pelayanan Islam terhadap ‎Pelayanan Medis di Rumah Sakit X ‎Kota Bandung
Authors: Risma Wulandari  , Arif Rijal Anshori
Published: January 2023

Abstract. X Hospital Bandung City as a health institution that ‎applies Islamic ‎ethical values in serving its health, faces ‎several problems including the lack of ‎transparency to ‎the patient's family in carrying out risky medical actions. ‎Related to ‎this, the problem is formulated in the form of ‎questions as follows: What are the ‎service provisions ‎according to Islamic service ethical values? How is the ‎‎implementation and implementation of the health care ‎system for patients at X Hospital in Bandung? ‎And how is the review of Islamic services on medical ‎‎services for patients at X Hospital in Bandung?‎ The research method used is qualitative analysis ‎through an empirical ‎juridical approach by analyzing ‎the implementation of health services in the ER at ‎X ‎Hospital in Bandung City and then reviewed according ‎to the ethical ‎values of Islamic services.‎ The results showed that the provision of health ‎services for patients ‎according to the ethical values of ‎Islamic services is that which has the ‎characteristics of ‎akhlaqiyah, waqi'iyah (flexible and not rigid) and ‎insaniyah, ‎services at X Hospital in Bandung City ‎already have a good and complete ‎organization, and ‎Islamic service ethics applied to services at the X ‎Hospital ‎in Bandung City is considered quite good.‎

Abstrak. Rumah Sakit X Kota Bandung sebagai lembaga ‎kesehatan yang ‎menerapkan nilai-nilai etika Islam ‎dalam melayani kesehatannya, menghadapi ‎beberapa ‎permasalahan diantaranya belum ada transparansi ‎kepada keluarga ‎pasien dalam melakukan tindakan ‎medis yang berisiko. Terkait hal tersebut, maka ‎‎dirumuskan permasalahan ke dalam bentuk pertanyaan ‎sebagai berikut : ‎Bagaimana ketentuan pelayanan ‎menurut nilai-nilai etika pelayanan Islam ? ‎Bagaimana ‎pelaksanaan dan penerapan sistem pelayanan ‎kesehatan bagi pasien di ‎RS X Kota Bandung ? Dan ‎bagaimana tinjauan pelayanan Islam terhadap ‎‎pelayanan medis bagi pasien di RS X Kota Bandung ?‎ Metode penelitian yang digunakan adalah analisis ‎kualitatif melalui ‎pendekatan yuridis empiris dengan ‎melakukan analisis pelaksanaan pelayanan ‎kesehatan ‎pada UGD di RS X Kota Bandung kemudian ditinjau ‎menurut ‎nilai-nilai etika Pelayanan Islam.‎ Hasil penelitian menunjukkan bahwa ketentuan ‎pelayanan kesehatan bagi ‎pasien menurut nilai-nilai ‎etika pelayanan Islam adalah yang memiliki ‎‎karakteristik akhlaqiyah, waqi’iyah (luwes dan tidak ‎kaku) dan insaniyah, ‎pelayanan pada RS X Kota ‎Bandung sudah memiliki organisasi yang baik ‎dan ‎lengkap, serta Etika pelayanan Islam yang diterapkan ‎pada Pelayanan pada ‎Rumah Sakit X Kota Bandung ‎dipandang cukup baik.‎
Paradigma Pengusaha Muslim terhadap Penyerapan Zakat Maal di Kabupaten Indramayu
Authors: Alghifari Zain Mohammad Wildan , Himayasari Neng Dewi
Published: January 2023

Abstract. The background of this research is to explore the paradigm of Muslim entrepreneurs towards zakat maal in Indramayu Regency and how the absorption of potential muslim entrepreneurs zakat maal in Indramayu. This study use the theory of zakat according to Imam 4 Mazhab and the theory from Yusuf Qardhawi. The purpose of this study is to find out the paradigm of Muslim entrepreneurs in Indramayu Regency about zakat maal, also the reasons why Muslim entrepreneurs in Indramayu Regency manage their zakat not through amyl institutions, and the role of amyl towards optimizing zakat maal. The method is normative descriptive analysis with a qualitative approach. The results show that the understanding of Muslim entrepreneurs in Indramayu Regency about zakat maal is varied but the majority are still very lacking, there are several factors that cause Muslim entrepreneurs not to manage their zakat through amil zakat, including: still many people that touched by socialization, religiosity factors (understanding zakat maal), belief factors, and distance factors. The role of amyl towards optimizing zakat maal is to have socialization to villages in the "desa sadar zakat" program, conduct meetings with sub-district UPZs, and makes strategies related to optimizing the absorption of zakat maal itself.

 

Abstrak. Latar belakang penelitian ini adalah untuk mengetahui dan mendalami terkait paradigma pengusaha muslim terhadap zakat maal di Kabupaten Indramayu dan meneliti lebih jauh penyerapan potensi zakat maal pengusaha muslim di Indramayu. Teori yang digunakan dalam penelitian ini adalah teori zakat menurut Imam 4 Mazhab dan teori zakat maal Yusuf Qardhawi. Tujuan penelitian ini adalah untuk mengetahui paradigma pengusaha muslim di Kabupaten Indramayu tentang zakat maal, untuk mengetahui alasan pengusaha muslim di Kabupaten Indramayu mengelola zakatnya tidak melalui lembaga amil, untuk mengetahui peran amil terhadap optimalisasi zakat maal. Metode yang digunakan dalam penelitian ini adalah analisis deskriptif normative dengan pendekatan kualitatif. Hasil penelitian ini menunjukan bahwa pemahaman pengusaha muslim di Kabupaten Indramayu tentang zakat maal adalah bervariatif tetapi mayoritas masih sangat kurang, Adapun beberapa faktor penyebab pengusaha muslim tidak mengelola zakatnya melalui amil zakat, antara lain: masih banyak yang belum tersentuh sosialisasi, faktor religiusitas (pemahaman terkait zakat maal), faktor kepercayaan, dan faktor jarak. Dan peran amil terhadap optimalisasi zakat maal adalah telah dan terus melakukan sosialisasi ke desa-desa di dalam program “desa sadar zakat”, melakukan rapat dengan UPZ kecamatan, dan melakukan strategi terkait pengoptimalisasian penyerapan zakat maal itu sendiri
Implementation of Electronic Ticketing Program Policies in Pekanbaru City
Authors: Prihatin Panca Setyo , Cahyani Indri
Published: January 2023

Empirically, there are still many people in Pekanbaru City who do not know the existence of E-tickets. Therefore, this study was conducted aiming to find out how the implementation of the electronic ticketing program policy in Pekanbaru City. This study used a qualitative research methods through a descriptive approach, where the data collection was carried out using observation, interviews and documentation techniques. The results showed that the implementation of the Electronic Ticketing Program for the Pekanbaru Police Traffic Police Unit could be considered less than optimal because the field officers did not really understand the E-tickets program and in its implementation. In addition, there were also several obstacles, including the absence of network. Furthermore, there were some people who were not aware of the existence of E-Tickets and its mechanism, so not all people who are ticketed follow the proper flow or mechanism.
Psychological Well-Being, Psychological-Distance, and Social-Distance among University Students during The Covid-19 Pandemic
Authors: Srisayekti Wilis , Azzahra Wulan , Hamdan Stephani Raihana
Published: January 2023

COVID-19 gives threats to public health and effects on individuals’s psychological condition. This study is aimed to describe the students’ psychological well-being during the pandemic COVID-19, as we’ll as the psychological distance and the social distancing. 305 students (M = 19,41 years old) participate at the google-form survey, 80% were female. Ryff’s Scale of Psychological Well-Being is administered, together with the questions concerning psychological-distance and social-distancing related to COVID-19.  Applying SPSS ver. 25 for data analysis. the results reveal that in general, the psychological well-being of the participants is low.  The dimensions of Autonomy and Self-Acceptance are in the medium level, whereas the other dimensions are low. Psychological well-being has no relationship with psychological distance and social distancing. These findings could be used for counselling or other interventions
The Housing Financing Policy and Its Impacts on Low-Income Communities and Indonesian Economy
Authors: Widyastutik Widyastutik , Hermawan Iwan , Amaliah Syarifah , Nur’aini Yenni , Khristianto Kurniawan
Published: January 2023

The housing financing policy or the Liquidity Facility of Housing Financing (FLPP) aims to help low-income communities (MBR) access affordable and livable housing. Unfortunately, MBR's housing backlog is still high, affecting their productivity. The housing financing policy also leverages the changes in other sectors' activities, which can increase or contract economic performance. This study aims to analyze the impact of housing financing policies on MBR's welfare and the Indonesian economy's performance. The Recursive-Dynamic Computable General Equilibrium (RDCGE) and the Econometric Model capture economic resources reallocation at MBR and macroeconomic levels due to housing financing policies. The study results indicate that the FLPP can potentially increase the growth and development of housing and improve community welfare. In addition, the FLPP positively impacts economic performance, although it will make specific sectors worse off. The policy recommendations are related to the simultaneous improvement of the demand and supply sides, as well as improvement in housing budget
Evaluation of Structural Modifications on Bee Hives using Different Types of Bottom Board Materials Against Greater Wax Moth Galleria mellonella L. (Pyralidae, Lepidoptera) Infesting on Apis cerana indica F. Colonies
Authors:   *Department of Animal Genetics & Breeding, Veterinary College and Research Institute, Namakkal., P Jayapal , N Anandhabhairavi ,   2Agricultural Entomology, School of Agriculture, VELS Institute of Science, Technology & Advanced Studies (VISTAS), Pallavaram, Chennai., S Arivarasan ,   Agricultural Economics, School of Agriculture, VELS Institute of Science, Technology & Advanced Studies (VISTAS), Pallavaram, Chennai.
Published: January 2023

The greater wax moth, Galleria mellonella caused damage to honey bee colonies resulting in heavy economic losses to beekeepers. The present study entitled “Evaluation of structural modifications on Bee hives using different types of bottom board materials against greater wax moth Galleria mellonella L. (Pyralidae, Lepidoptera) infesting on Apis cerana indica F. Colonies”. The results revealed that the Incidence of wax moth larvae on different treatments on the bottom board, laminated with mica, showed significantly (p<0.05) effective with less wax moth larvae (1.00), which was followed by bottom board laminated with glass plate (1.44). The Incidence of wax moth pupae on different treatments on bottom board laminated with mica was significantly (p<0.05) superior with the least wax moth pupae (0.88), which was followed by glass plate (1.88), cardboard (2.63), OHP sheet (2.81) in the order of effectiveness. The maximum extent of pupal population that occurred in untreated control was 3.81. The bottom board laminated with mica, shows significantly less absconding (0.25), followed by laminated with the glass plate (0.50), cardboard (0.75), OHP sheet (1.00). However, higher levels of colony absconding were recorded in the untreated control (1.50). Hence, it is concluded that the laminating bottom board with mica sheet will be maintain hygienic condition and prevent cracks and crevices, which will be unfavorable for egg laying of greater wax moths.
PERCEPÇÕES NOS VÍNCULOS ENTRE COMUNICAÇÃO, FORMAS EXISTÊNCIAS, SISTEMA DE ENSINO E AFROCENTRICIDADE
Authors: Santos Júnior Marcos Borges dos
Published: January 2023

O presente artigo refere-se a um ensaio teórico tendo como objetivo tensionar reflexões sobre as formas existenciais do racismo relacionadas a concepção da comunicação afim de promover debate nas açõe
LA CAPACIDAD JURÍDICA DE LAS PERSONAS CON DISCAPACIDAD EN LA CONVENCIÓN SOBRE LOS DERECHOS DE LAS PERSONAS CON DISCAPACIDAD Y LOS PRINCIPALES DESAFÍOS PARA EL LEGISLADOR CHILENO
Authors: Rodríguez Alfaro María Isabel
Published: January 2023

El artículo 12 de la Convención sobre los Derechos de las Personas con Discapacidad (CDpD) introduce un cambio de paradigma al reconocer personalidad jurídica y capacidad jurídica de las personas con discapacidad. Establece un sistema de apoyo en la toma de decisiones y salvaguardias que garanticen el ejercicio de dicha capacidad. Estos tres ejes centrales y la eventual desaparición de la distinción entre capacidad de goce y de ejercicio, plantean importantes desafíos al legislador nacional en la adecuación normativa para adaptarse a la Convención, ratificada en 2008. Así, en los proyectos de ley para adaptar el Código Civil, debiera contenerse una definición de capacidad jurídica, establecer un sistema de apoyos basado en la voluntad y preferencias, contemplar medios de control periódicos y no descartar de plano la posibilidad de recurrir a la representación, en casos específicos.
A Review for the Mechanism of Research Productivity Enhancement in the Higher Education Institution
Authors: Sanmorino Ahmad , Karimah Fitrah
Published: January 2023

The main purpose of this review is to find out the mechanism of research productivity enhancement proposed by each researcher in the papers they have published. The availability of these various mechanisms raises the desire of the authors to compare each mechanism. The focus of the review lies in the mechanism, characteristics, source of data, and evaluation methods used by each researcher. The review then jumps to the results obtained by each mechanism. The author also compares the types of data used by each researcher and the parties involved in the mechanism. There are some differences in the use of terminology between one to another mechanism, but in essence, it has the same goal, research productivity enhancement.
Accessing Malaysia Armed Forces Logistics System in Providing Humanitarian Logistics Support
Authors: Halizahari M , Zain Ruzaidin , Ismail Ariffin , Zainol Noor Azmi Hj Mohd , Yaacob Safar , Che Ali Nik Ismail Rashed
Published: January 2023

Disasters frequently strike at any time of day or night, necessitating swift action and close coordination between various agencies. When a disaster response becomes increasingly time-consuming, the Armed Forces are frequently called in to assist. Despite the fact that disaster management is not the primary responsibility of the Armed Forces, however, the Armed Forces are frequently used as disaster response machinery because they have complete equipment, logistics, and personnel. In order to identify the logistics system available in the Malaysian Armed Forces (MAF), this study was carried out with a particular emphasis on integration and disaster management in the Armed Forces. A qualitative inquiry methodology was used to complete this study. A protocol for conducting interviews was developed and used as a guideline throughout the interview process. Snowball purposeful sampling was used in this study, which included 13 key informants from the Army, Navy, and Air Force. These individuals work in the logistics field and came from all three branches of the military. According to the findings of this study, there are no job specifications and specialisations in disaster management in the MAF. The systematic logistics management implemented by the MAF, on the other hand, has made it easier to coordinate assistance during disasters. In addition, the strength in terms of knowledge, skills and discipline portrayed by the MAF personnel showed a very high commitment to achieving disaster management objectives. This advantage is widely regarded as the most important factor in ensuring that disaster response is carried out effectively and efficiently.
Analysis of Reservoir Water Discharge at Solar Power Plant Tanjung Raja Village as a Basis for Pico Hydro Power Plant Planning in Paddy-Field Area
Authors: Dinata Yogi , Indriyani Indriyani , Dewi Tresna
Published: January 2023

Energy is an important aspect of life as a whole. The fossil-based energy sources have dwindled over time, in line with population growth and economic growth. One approach to meeting the energy demand is to use renewable energy. According to Presidential Regulation Number 22 of 2017 on National Energy General Plan (RUEN) targets, the share of New and Renewable Energy in total national energy in 2025 will be 25%. The construction of a Hydro Power Plant is expected to reach 3.000 MW by 2025. According to NREEC statistical data from 2016, the potential for constructing a Hydro Power Plant in South Sumatera is approximately 448 MW. This paper investigates the possibility and potential of building Hydro Power Plant from the reservoir of the irrigation water system generated by a Solar Power Plant in Tanjung Raja Village, Muara Enim District, South Sumatra. The water discharge magnitude is measured, and the potential of electricity generated from the discharge is presented. The experimental data shows that water discharge from the reservoir can generate maximum electricity of  806,6488 watts with a discharge rate of 0.0653 m3/s, and power is 36,7245 watts, with a discharge of 0,0030 m3/s. The average electricity potential is approximately 375.6782 watts, with a discharge average of 0.0304 m3/s. Therefore, the experimental data shows the possibility of hybridizing the Solar Power Plant with Hydro Power Plant, which will be beneficial for the residential area in Tanjung Raja Village, Muara Enim.
Paddy Leaf Symptom-based Disease Classification Using Deep CNN with ResNet-50
Authors: Rani Pushpa Athisaya Sakila , Singh N.Suresh
Published: January 2023

Agriculture is a globally important occupation. Food is a fundamental need for all living things on the earth, hence it plays a significant role. As a result, agricultural product quality has to be improved. Paddy is susceptible to a variety of illnesses, just like all other crops. Diseases vary by region and season. Despite the fact that the number of new technologies being implemented in agriculture is rapidly expanding, farmers in our nation continue to rely on old methods for disease detection. Machine learning relies heavily on features to classify images. The advancement of the deep convolutional neural network paves the path for disease detection in rice based on deep characteristics, with the expectation of excellent yields. Field photos of four forms of rice leaf diseases, including bacterial leaf blight, brown spot, leaf smut, and tungro, were introduced using this proposed method. The model is trained using the deep CNN classification technique. The pre-trained ResNet-50 model is also included to increase the model's prediction accuracy. Existing approaches are outperformed by the combination of Deep CNN and ResNet-50. Accuracy was used as a criterion for evaluating performance.
Boundary Value Analysis Techniques for Testing Geographic Information System Applications for Public Facilities
Authors: Idmayanti Rika , Meidelfi Dwiny , Erianda Aldo , Sukma Fanni , Zazkia Rahmi
Published: January 2023

The Geographic Information System for Public Facilities is a system that makes it easier for the public to search and find locations. The more people use this system, the more problems will arise. Because people still use the manual method, namely by asking about the location of public facilities in the surrounding community. This is very ineffective and accurate. Therefore, a public facility information system was built using CI 3, Java, and PHP in the form of android. The method used in this development system is the waterfall method. With this GIS, the public can search for the location of public facilities, find public facilities, and provide a route to the location using the Tracking process to find out where the current position is.
Evaluating Web Scraping Performance Using XPath, CSS Selector, Regular Expression, and HTML DOM With Multiprocessing Technical Applications
Authors: Darmawan Irfan , Maulana Muhamad , Gunawan Rohmat , Widiyasono Nur
Published: January 2023

Data collection has become a necessity today, especially since many sources of data on the internet can be used for various needs. The main activity in data collection is collecting quality information that can be analyzed and used to support decisions or provide evidence. The process of retrieving data from the internet is also known as web scraping. There are various methods of web scraping that are commonly used. The amount of data scattered on the internet will be quite time-consuming if the web scraping is done on a large scale. By applying the parallel concept, the multi-processing approach can help complete a job. This study aimed to determine the performance of the web scraping method with the application of multi-processing. Testing is done by doing the process of scraping data from a predetermined target web. Four web scraping methods: CSS Selector, HTML DOM, Regex, and XPath, were selected to be used in the experiment measured based on the parameters of CPU usage, memory usage, execution time, and bandwidth usage. Based on experimental data, the Regex method has the least CPU and memory usage compared to other methods. While XPath requires the least time compared to other methods. The CSS Selector method is the smallest in terms of bandwidth usage compared to other methods. The application of multi-processing techniques to each web scraping method is proven to save memory usage, reduce execution time and reduce bandwidth usage compared to only using single processing.
Smartphone-based Indoor Navigation for Guidance in Finding Location Buildings Using Measured WiFi-RSSI
Authors: Triyono Liliek , Prayitno - , Rahaman Mosiur , Sukamto - , Yobioktabera Amran
Published: January 2023

This study investigates a Wi-Fi-based indoor navigation system to determine building locations. The system was developed using the fingerprint method from the Received Signal Strength Indication (RSSI) of each Access Point (AP). The main components of a smartphone-based system use data from Wi-Fi and the Global Positioning System (GPS). The system developed for navigation is designed and implemented as an element of a dynamic, seamless mobility planning and building location route guidance application. Building map data is collected from Google Map data and enhanced by coloring the geographic location of buildings displayed on mobile devices. Navigational aids collected from sensors provide trip orientation and position updates. The approach of measuring the distance between known positions is compared to those displayed in the application with the haversine formula to measure the accuracy of the position displayed. A series of experiments were conducted in the Politeknik Negeri Semarang area, Indonesia. The experiment results showed that the Wi-Fi-based indoor positioning system was accurate within 7.050 meters of the error for that location, thus proving the system's usefulness for determining the location of buildings in the campus area. The measurement has not adopted the maximum APs placement for signal coverage and strength, only using the existing APs positions. The temperature nor humidity was neither measured in each area where the AP was installed, which is discussed later. This system can help visitors without asking, even though they have only visited once.
Smart City Architecture Development Framework (SCADEF)
Authors: Prasetyo Yuli Adam , Habibie Ichwan
Published: January 2023

Smart City is a city that implements the latest technologies, such as big data, IoT, Artificial Intelligence, and other new technologies. Smart City has different system characteristics than other systems. Smart City involves several independent stakeholders, so the development of a smart city needs to be designed with a system analysis system and service-based planning. Smart City Architecture Development Methodology (SCADM) has been defined from the previous research. However, the existing Enterprise Architecture approach has yet to specify the artefact to complete the framework. This study recommends the Smart City Architecture Framework (SCADEF) as a comprehensive Enterprise Architecture Framework to develop Smart City Architecture. The architecture framework produced by SCADEF becomes the proposed architecture framework for realizing Smart City. SCADEF consists of SCADM, Meta-model Smart City Architecture Development Methodology Artefact, and guidelines by the implementation SCADEF. The research uses observation, classification, and construction methodologies in Information System Design Methodology. In addition, this study also tested the framework by implementing it on city objects. This implementation is a practical test tool for the resulting enterprise architecture framework. This study implemented SCADEF in the education and health field at Bandung Smart City. Implementing testing on the implementation of SCADEF is to explain the implementation in Bandung Smart City and ask for an assessment from enterprise architecture experts. The results of the expert assessments were calculated statistically to assess the methodology, artefacts, and uses. The measurement results show that SCADEF can be accepted and used to develop enterprise smart city architecture.
Classification of Tempeh Maturity Using Decision Tree and Three Texture Features
Authors: Istiadi - , Faqih - , Rahman Aviv Yuniar , Aziz Dean Ariesta , Hananto April Lia , Sulaiman Sarina , Zonyfar Candra
Published: January 2023

Tempe is an average food from Indonesia, eaten in Indonesia. Even today, tempe is around the world, and vegans around the world use tempeh as a meat substitute. This study plans to work on the accuracy of tempe characterization by utilizing the three-element extraction technique and the choice tree arrangement strategy. This research uses a decision tree method with three texture features in its classification. The results obtained indicate that this method has the highest Gabor channel level, including extraction, which is 71% accuracy, the split proportion is 10;90 and the lowest is 60% with parted balance of 90:10. The most important level value of GCLM extraction precision is 86% with a split proportion of 90;10 and the lowest price level and 60% level with a split ratio of 10;90 for Wavelet including the highest extraction rate price is 77%. It can be said that from the extraction of three elements, GLCM is the element extraction with the highest value from Gabor and Wavelet, including extraction at a split proportion of 10:90 by 86%. The test shows the Featured Tree highlight designation. The extraction technique was superior to different strategies for interaction characterization of tempe development quality. In the next research, improve the accuracy performance so that it can reach 100% using the CNN deep learning method. Then you can also add Support Vector Machine (SVM) and Naive Bayes methods based on the GLCM Extraction feature.
Implementasi Kebijakan Rencana Tata Ruang Wilayah (RTRW) Dalam Mewujudkan Ruang Terbuka Hijau (RTH) Publik di Kota Tangerang Selatan
Authors: Hafiz Muhamad , Budiati Ayuning , Yulianti Rina
Published: January 2023

This research focuses on the Implementation of Regional Spatial Planning Policy in Fulfillment of Green Open Space  in South Tangerang City. The aim of the research is to find out how the Implementation of Regional Spatial Planning Policy in Creating Green Open Space in South Tangerang City. The theory of policy implementation from Van Metter and Van Horn, namely policy standards and objectives, resources, characteristics of implementing organizations, inter-organizational communication, dispositions or attitudes of implementers and the social, political and economic environment. The research method used is descriptive qualitative method. The results of the research show that (1) the standards and policy objectives are not optima, (2) the resources are quite optimal, (3) the characteristics of the organization implementing the green open space policy are less than optimal, (4) the communication of implementing organizations is good, (5) the disposition or attitude of the executors is still not optimal, (6) the social, political and economic environment of green open space policies is less than optimal marked by the lack of support from the political elite for regional spatial planning policies in fulfilling green open spaces in South Tangerang City.
Automatic Generation Tool for Open Platform-compatible Intelligent IoT Components
Authors:   Korean Institute of Smart Media, Kim Seoyeon , Jang Joonhyouk , Jung Jinman , Kim Bongjae , Yun Young-Sun
Published: January 2023

As IoT applications that provide AI services increase, various hardware and software that support autonomous learning and inference are being developed. However, as the characteristics and constraints of each hardware increase difficulties in developing IoT applications, the development of an integrated platform is required. In this paper, we propose a tool for automatically generating components based on artificial neural networks and spiking neural networks as well as IoT technologies to be compatible with open platforms. The proposed component automatic generation tool supports the creation of components considering the characteristics of various hardware devices through the virtual component layer of IoT and AI and enables automatic application to open platforms.
Classification of Security Checklist Items based on Machine Learning to Manage Security Checklists Efficiently
Authors:   Korean Institute of Smart Media, Park Hyunkyung , Ahn Hyo Beom
Published: January 2023

NIST in the United States has developed SCAP, a protocol that enables automated inspection and management of security vulnerability using existing standards such as CVE and CPE. SCAP operates by creating a checklist using the XCCDF and OVAL languages and running the prepared checklist with the SCAP tool such as the SCAP Workbench made by OpenSCAP to return the check result. SCAP checklist files for various operating systems are shared through the NCP community, and the checklist files include ID, title, description, and inspection method for each item. However, since the inspection items are simply listed in the order in which they are written, so it is necessary to classify and manage the items by type so that the security manager can systematically manage them using the SCAP checklist file. In this study, we propose a method of extracting the description of each inspection item from the SCAP checklist file written in OVAL language, classifying the categories through a machine learning model, and outputting the SCAP check results for each classified item.
A Study on the Defect Detection of Fabrics using Deep Learning
Authors:   Korean Institute of Smart Media, Nam Eun Su , Lee Choong Kwon , Choi Yun Sung
Published: January 2023

Identifying defects in textiles is a key procedure for quality control. This study attempted to create a model that detects defects by analyzing the images of the fabrics. The models used in the study were deep learning-based VGGNet and ResNet, and the defect detection performance of the two models was compared and evaluated. The accuracy of the VGGNet and the ResNet model was 0.859 and 0.893, respectively, which showed the higher accuracy of the ResNet. In addition, the region of attention of the model was derived by using the Grad-CAM algorithm, an eXplainable Artificial Intelligence (XAI) technique, to find out the location of the region that the deep learning model recognized as a defect in the fabric image. As a result, it was confirmed that the region recognized by the deep learning model as a defect in the fabric was actually defective even with the naked eyes. The results of this study are expected to reduce the time and cost incurred in the fabric production process by utilizing deep learning-based artificial intelligence in the defect detection of the textile industry.
GLOBALIZATION AND MIGRATION FROM THE PERSPECTIVE OF ETHNOSYMBOLIST AND CIVIC NATIONALISM.
Authors: YAMAN Haluk , KARTAL Meryem
Published: January 2023

Nationalist ideology, which emerged in the 18th century and profoundly influenced the 19th, occupies a significant position in human affairs and the concept of the nation-state, despite its contradictions and multidimensional structure. As nationalism gained traction in the ethnosymbolist mentality through values such as race, religion, language, and ethnicity, it acquired different meanings around the concept of civic nationalism in the aftermath of modernization and globalization. The specific conditions of societies were affected by globalization and migration, leading to the differentiation of the nationalist mindset between ethnic nationalism and civic nationalism. Beginning in the 1980s, Western civic nationalism was described as "good nationalism," while Eastern nationalism, informed by ethnosymbolism, was "bad nationalism." This study seeks the answer to the question of how the stances of ethnosymbolism and civic nationalism towards globalization and migration were shaped. In this context, the study examines the convergence between ethnosymbolist nationalism and civic nationalism, as well as the factors that led to it, from a historical and holistic perspective and by using a comparative method.
E-Voting Pemilihan Presiden Mahasiswa Pada BEM STMIK Syaikh Zainuddin NW Anjani
Authors: Yuliadi Yuliadi , Zaen Mohammad Taufan Asri , Mustakim Mustakim , Az-zaen Siti Patimah
Published: January 2023

E-voting is an election system in which data is recorded, stored and processed in the form of digital information. The Student Executive Board (BEM) STMIK Syaikh Zaenuddin NW Anjani is an organizational forum to foster and direct students in the field of organization. Every year there will be a change of President BEM STMIK Syaikh Zaenuddin NW Anjani, direct elections are always carried out which are followed by all conventionally active students, namely students must come to campus to exercise their voting rights with a limited time burden and other problems. Based on these problems, an election system is needed that utilizes technology that is not limited to space and time, namely e-voting. E-voting system for the election of student presidents with technology to make it easier to make elections and minimize time efficiency, productivity, student learning on campus and reduce damaged ballots. The e-voting system uses the PHP programming language and uses a MySQL database.
Analysis of Student Performance Based on LMS Activities with Learning Analytics Approach
Authors: Suwawi Dawam Dwi Jatmiko , Husni Hafizh Jihaad , Laksitowening Kusuma Ayu
Published: January 2023

Good performance for a student during a course is important because it can affect the student's final index. However, in general, student performance can only be seen at the end of the semester, so if a student has a poor performance before the course ends, they do not get enough opportunity to improve. Therefore, it is necessary to have an early analysis of students who have poor performance in a course. Since most student learning activities in this pandemic era are currently on the LMS, the LMS activity log can reflect student performance. The main objective of this study is to classify the LMS activity log in a course using a probabilistic classifier algorithm. This study chose Naïve Bayes to classify student performance into three categories – good, satisfactory, and poor. The dataset is separated into two scenarios – the half-semester and the full-semester - in the Modeling and Database Implementation course at Telkom University. The results show that the Naïve Bayes Algorithm successfully predicts student performance early and provides information about students experiencing changes in performance with the highest accuracy of 93%. The practical implication of this study is that teachers can use the LMS activity log for early prediction of student success in passing a course. The learning analytics developed in this study prove that Naïve Bayes has a fairly good performance for small dataset sizes based on recall and accuracy to classify student performance. However, as the study focuses solely on a specific course and small dataset sizes, it lacks generalizability. Therefore, it needs to be tested for other courses and larger dataset sizes.
Optimalisasi Pemrosesan Distributed RSA Algorithm dengan Metode Penjadwalan Proses Pada Single Board Computer Cluster
Authors: Arief Sofyan Noor , Firdaus Vipkas Al Hadid , Prasetyo Arief
Published: January 2023

Data security is still a major issue regarding the need for data confidentiality. The encryption process using the RSA algorithm is still the most popular method used in securing data because the complexity of the mathematical equations used in this algorithm makes it difficult to hack. However, the complexity of the RSA algorithm is still a major problem that hinders its application in a more complex application. Optimization is needed in the processing of this RSA algorithm, one of which is by running it on a distributed system. In this paper, we propose an approach with a FIFO process scheduling algorithm that runs on a single board computer cluster. The test results show that the allocation of resources in a system that uses a FIFO process scheduling algorithm is more efficient and shows a decrease in the overall processing time of RSA encryption
Sistem Pendukung Keputusan Penerimaan Bantuan Dana Desa BLT dengan Metode SAW Berbasis WEB
Authors: Faisal Ahmad , Rusda Depi
Published: January 2023

The object of research that will be made is to determine the receipt of village funds in the village of Kampung Melayu, namely Direct Cash Assistance (BLT) according to system rules. The purpose of previous research regarding research on determining recipients of rice social assistance to the poor in Kampung Melayu village with the Simple Additive Weighting (SAW) method aims to determine prospective recipients of poor rice to complete practical decision making and have alternative choices for decision making in order to determine poor people who are entitled to receive rice social assistance for the poor (Raskin) in the village. Based on the criteria used to determine the decision to receive rice social assistance for the poor, namely the amount of income, marital status, number of dependents and age. The results of this study are shown for the village government to be able to determine the people who are entitled to receive social assistance for poor rice (Raskin)
Pengembangan Sistem Informasi Konstituen Menggunakan Rapid Application Development
Authors: Mutawalli Lalu , Zaen Mohammad Taufan Asri , Imtihan Khairul
Published: January 2023

Constituent data collection for each member of Dewan Perwakilan Rakyat Daerah (DPRD) becomes a necessity. By conducting data collection of DPRD constituents will be easier to design the main points of the DPRD constituents who are aspirations from the constituents. Better constituent data processing is very necessary considering today in the absence of a system specifically for processing constituent data. The study conducted with members of the East Lombok Regency DPRD wants the development of constituent information systems to be developed quickly. The problem in this study is in a short period, therefore this study proposed Rapid Application Development (RAD) as a methodology in modeling the problem of developing information systems. RAD is a life cycle providing a way to design and develop information systems much faster with results that have high-value quality. Based on the test results on the system, testing is carried out by considering the three aspects, the first is the quality of this system aims to test the interface (interface), namely ease of use, response time, and language. Based on the results of testing the quality of the system obtained a score of 87% of the 13 respondents. Both assessments on the quality of information, this assessment aims to measure the accuracy of the information, information. Based on the results of the test, the assessment score was 83% while the third related to the quality of the Constituent Information System Service received as much as 85%. So the average results of the assessment of the entire type of testing obtained a score of 85% that the information system developed has been by the user's requirements.
Analisis Kepuasan Sistem Informasi Desa Sidomoro di Kabupaten Kebumen Menggunakan Metode End User Computing Satisfaction
Authors: Baqi Muhamad Hamzah , Setyadi Resad , Purbaya M. Eka
Published: January 2023

Currently, technology has become a fast and easy access to information data. Technology contributes to the arrangement of management systems and processes in both government and private institutions. Utilization of Information Technology (IT) is mandatory in today's modern era. One of the applications of IT in village life is the use of the Village Information System (SID). SID provides benefits to the community in terms of information related to the village, namely in terms of the shape of the area, population, tourist attractions and correspondence services. Preliminary observations of the study indicate that the use of SID in Sidomoro Village still has performance deficiencies, namely service constraints, the lack of functioning of several features in Sidomoro SID, system loading problems and system accuracy from Sidomoro SID. This constraint affects user service satisfaction in Sidomoro village. This study requires testing the number of respondents from the village apparatus and the Sidomoro village community. The user satisfaction test model in this study was successful in analyzing the EUCS model. The results of the question analysis show that this research has a valid and reliable value. The satisfaction value of using the SIDOMORO village SID is 64.79. The value above 65% means that the Sidomoro people are satisfied with using SID in 2020-2021. The recommendation of this research is that the Sidomoro Village SID requires improvements to the loading section and system accuracy through periodic planning to achieve a very satisfactory level.
Analisis Kepuasan Pengguna Terhadap Penerapan Aplikasi Layanan GOFOOD Menggunakan Metode PIECES Framework
Authors: Evitria Dina , Utamajaya Joy Nashar , Hermawansyah Adi
Published: January 2023

The progress of the times, many business entrepreneurs are starting to open up opportunities in the service sector. The company also takes advantage of advances in information technology to provide convenience for customers. There are startups in the service sector, for example Gojek. The startup also provides a feature for food delivery services, namely Gofood, which is available on Gojek. This study aims to determine the factors that influence customer satisfaction with the Go-jek application for Go-food services. The model used to explain user satisfaction with the implementation of Go-food services is the PIECES method (performance, information, economy, control, efficiency, service). This study uses descriptive quantitative data, Likert scale, performance, information, economy, control and service, efficiency, and service. As a system analysis tool, PIECES pays special attention to detailed and comprehensive systems, identifies system strengths and weaknesses, and uses them as a reference for further enterprise development. The average result of the satisfaction of gofood service users has reached a value of 4.4. This means that users are SATISFIED with gofood services.
Penerapan Algoritma Convolutional Neural Network Arsitektur ResNet-50 untuk Klasifikasi Citra Daging Sapi dan Babi
Authors: Efendi Dodi , Jasril Jasril , Sanjaya Suwanto , Syafria Fadhilah , Budianita Elvia
Published: January 2023

Meat is one of the food ingredients needed by humans. The price of pork is cheaper than beef, which has led to the practice of mixing beef with pork for the purpose of making big profits. In plain view, the difference between beef and pork is not striking, so it is difficult for ordinary people to distinguish between them. In terms of color, pork is paler than beef. In terms of texture, beef is stiffer and tougher than pork. In terms of fiber, beef is clearer than pork, so we need a system that can identify the two types of meat. This study uses the Convolutional Neural Network (CNN) algorithm with the ResNet-50 architecture with 3 types of optimizers such as Stochastic Gradient Descent (SGD), Adam, and RMSprop. The dataset used for training first goes through 2 stages of preprocessing, namely cropping and resizing. The results of the study show that the SGD optimizer can outperform the Adam and RMSprop optimizers with 97.83% accuracy, 97% precision, 97% recall, and 97% f1 score with batch size 32, learning rate 0.01, and epoch 50.
Prediksi Perambatan Arus Lalu Lintas Berdasarkan Korelasi Tertinggi Antar Jalan
Authors: Priambodo Bagus , Jumaryadi Yuwan , Salamah Umniy
Published: January 2023

Over the past few years, many algorithms for traffic flow predictions have been proposed to predict traffic flow. Time series models and neural network models have been widely implemented to predict traffic flow and traffic congestion based on traffic data, vehicle speed, weather, accidents, and special days. However, most of previous studies are used to predict traffic flow, not applied to predict the propagation of traffic flow. Traffic flow propagation is an interesting study. Using this finding the driver can avoid neighboring roads affected by road congestion. We propose the correlation method to find the relationship between the road. To evaluate the relationship between the road, we display the correlation results in the map. The visualization show that the correlation of traffic when congestion occurs shows better in showing the relationship between the road than the correlation at all times
Forecasting Pada Rantai Pasok Pabrik Penggilingan Daging Menggunakan Metode Time Series
Authors: Yunita Sri , Mahesti Nathwa Alifia , Sihaloho Ronald Max Brando , Setyadi Resad
Published: January 2023

Meat is one of the livestock products that can hardly be separated from human life because of its nutritional content and can lead to satisfaction or enjoyment for those who consume it, but this is less desirable in consuming meat because of its tough nature, so it is not easy to chew or swallow. Then it will be processed first before finally being consumed. One way of processing, namely by grinding. Meat milling is one of the businesses that aims to meet consumer needs and provide convenience for business actors selling snacks, especially processed meat. The purpose of this study is to determine the supply chain flow of the meat mill and its marketing efficiency and to find out the best forecasting method for planning future production sales. The research method used in this research is the method of forecasting or forecasting. Forecasting is determined using the time series method and the error rate is analyzed using MAD, MSE, and MAPE. The results showed that the supply chain (product flow, flow, and information flow) at the meat mill and its marketing was efficient with a value of 7.12%. As for the results of the best forecasting method, namely least square with the smallest MAPE which is worth 3.3 for consumers and for milled meat processing entrepreneurs of 3.44. With this research, it is hoped that the problems that exist in the field can be identified so that further efforts are made to improve the meat milling supply chain