bluuebunny/crossref_metadata_2025_split huggingface dataset:
The urgency of establishing a special agency of personal data protection and supervision to ensure the Indonesian citizens’ privacy rights
Authors: Ayu Silvi Ferina Widyawati , Asmorojati Anom Wahyu 
Published: December 2022

Personal Data Protection is the right of humans, constitutionally the state’s obligation to respect, fulfill, and protect as mandates in Article 28 C paragraph (1) of the 1945 Constitution. However, due to the massive data leaks prove that the rights have not been protected. The research is aimed to know the legal protection for the Indonesian citizens’ personal data by establishing a special agency and intended to find the ideal format of the special agency for personal data protection and supervision to be implemented in Indonesia. The research methods used is the juridical normative through library research. The data were analyzed qualitatively and presented using the descriptive-analysis method. The research is also doctrinal with primary and secondary legal materials. The research concluded that the personal data protection classified as the emerge issues due to the vacuum of law. Moreover, the absence of special agency which plays the important rules to protect or supervise the personal data for the Indonesians. Moreover, its urgency for establishing a special agency for personal data protection and supervision has become the global issues refer to its international regulation and convention, wide conflict of interests in data supervision and management, and due to the occurrence of massive personal data leaks.
Studi Potensi Pemanfaatan Limbah Rambut Manusia Sebagai Serat Pada Beton
Authors: Iqbal Muhammad , . Erdawaty , . Erniati 
Published: December 2022

Penanganan limbah rambut manusia bisa dikatakan belum optimal sehingga dapat terjadi pencemaran lingkungan mengapa demikian banyak terjadi ditempat pemangkasan rambut ketika ada limbah rambut manusia tentunya hanya di buang atau dibakar dan dapat menimbulkan pencemaran lingkungan. Pada penelitian ini mencoba untuk ditambahkan dengan limbah rambut manusia kedalam campuran beton normal dari penelitian ini akan menghasilkan produk beton serat rambut manusia yang akan memiliki nilai jual agar limbah rambut manusia tidak hanya dibuang atau pun dibakar dan dapat lebih berguna dalam penggunaan beton tersebut. Tujuan dari penelitian ini adalah untuk mengetahui kuat tekan,dan kuat Tarik. Hasil kuat tekan beton yang menggunakan 0%, 5%, 10%, 15% serat limbah rambut manusia berturut turut sebesar 31,39 Mpa; 17,39 Mpa; 9,33 Mpa; dan 7,21 Mpa, mengalami penurunan pada kuat tekan beton. Hasil kuat tarik belah beton yang menggunakan 0%, 5%, 10%, 15% serat limbah rambut manusia berturut-turut sebesar 2,87 Mpa; 3,72 Mpa; 2,65 Mpa; dan 1,91 Mpa, mangalami kenaikan kuat tarik belah pada %5 penambahan serat limbah rambut manusia. Kuat tekan limbah rambut manusia turun pada 5%, 10%, dan 15%. Sedangkan kuat tarik belah beton pada 5% limbah rambut manusia lebih tinggi dari pada beton 0% dan pada beton yang menggunakan serat limbah rambut manusia 10% dan 15% nilai kuat tarik belah menurun.
FINITE DIFFERENCE VALUE IN FORMING ONE-DIMENSIONAL GEOMETRIC IMAGES REPRESENTED BY NUMERICAL SEQUENCES OF ELEMENTARY FUNCTIONAL DEPENDENCES
Authors: Vorontsov Oleg , Usenko Valeriy , Vorontsova Iryna 
Published: December 2022

Discrete modeling of continuous images by the static-geometric method in most cases is associated with certain errors. Therefore, it is relevant to study the formation of geometric images with a given accuracy, using a minimum amount of initial information. This will allow to create models with optimal discretization.
Further development of this modeling method with rational decrease in initial information volume, is topical. The proposed line of research will open up new possibilities for its use in various industries, such as construction, engineering, economics etc.
One of the objectives of this work is to continue research on the formation of discrete images of curved lines. The study is based on the classical finite difference method, static-geometric modeling method and the geometric apparatus of superpositions.
The article proposes a method for determining the distribution functions of finite-difference values in the formation of discrete analogues of linear-fractional, exponential and hyperbolic functional dependencies using finite differences of different orders. These studies define a general method for obtaining similar patterns of distribution of the finite difference value in formation of discrete analogues of elementary functional dependencies using finite differences of different orders.
Establishing a correspondence between the equation of the curve and the distribution function of a finite difference value can be the basis for assessing the accuracy of the formation of discrete frameworks of curves described by elementary functional dependencies.
In the future, the results of this work will make it possible to determine coordinates of any point of a numerical sequence of the nth order and numerical sequences of elementary functional dependencies as a superposition of the coordinates of adjacent points. It can also be a superposition of arbitrarily given nodal points of these sequences, if the value of the final difference or its distribution function are already known.
SOME PERSPECTIVES FOR THE DEVELOPMENT OF GEOMETRIC MODELING OF COMPLEX INSTRUMENTATION ENGINEERING PRODUCTS ON THE EXAMPLE OF INERTIAL NAVIGATION SYSTEMS
Authors: Ivanov Sergiy 
Published: December 2022

The article reviews the means of geometric modeling used in the creation of complex instrument-making products. The performed analysis is aimed at improving the existing approaches to computer-aided design in order to improve the quality of the specified technical objects.
The basic provisions of the methodology of structural-parametric shaping developed by the scientific school of applied geometry of the National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute» are highlighted. The possibility of extending the developed methods to the field of instrumentation engineering is shown. However, it is noted that this requires additional research to take into account the specifics of this industry. In particular, the complexity of many devices due to the combination in their design of physically disparate parts, such as mechanical, electronic, optical, a large number of corresponding elements, etc.
It is emphasized that in instrumentation engineering during designing, descending, ascending and mixed development of devices is used. The applied system-hierarchical approach is described. The possibility of its successful implementation by means of structural-parametric methodology is shown. Its theoretical foundations have been improved by the proposed principle of generalized geometric models. The relevance of the latter for the creation of complex technical objects is substantiated. Such stages of design as functional, constructional and technological, typical for instrumentation engineering, are presented. Their features are indicated. The conceptual foundations of mathematical modeling of arbitrary devices are outlined, the design procedures for synthesis, analysis, and optimization are considered. Appropriate examples for the development of devices for inertial navigation systems are given. The prospects for further scientific research on solving the above issues have been determined.
NUMERICAL STUDY OF THE PARAMETRIC OPTIMIZATION OF THE FORCED FREQUENCY OF OSCILLATIONS OF THE MINIMUM SURFACE SHELL ON THE SQUARE CONTOUR UNDER THERMAL LOAD
Authors: Ivanchenko Hryhorii , Kosheviy Oleksandr 
Published: December 2022

The optimal design in applied mechanics is used to improve the efficiency of minimal surface shells, this process is carried out until the design can no longer be better given the input data, using a certain optimization method.
It has several advantages while building structures are designing. One of the passes is the optimization process, which provides a systematization, a logical procedure for the design of shells. With the correct use of the optimization algorithm, it is possible to reduce the probability of a designer's mistake. Modern optimization methods can be applied to problems that have more than a million design variables and constraints.
Optimization algorithms work effectively when there is some regularity in the objective function, such as a convexity or a depression, so when choosing an optimization algorithm, it is necessary to consider their advantages and disadvantages.
While minimizing the objective function fmin, the main task is to find the point of the global minimum, the value of fmin (X) will be minimal, taking into account the restrictions.
Determining the global minimum is quite a difficult task. Much more often, a point has a local minimum, and the task of the designer is to investigate where the point of the local and global minimum is.
The optimization algorithm for single-criteria parametric optimization is performed as follows: the objective function is the weight of the shell of the minimum surface on the square contour, the design variables are the shell thickness from 1 to 100 mm, the constraints are presented - the first forced oscillation frequency is 0.10 Hz.
The results of changing the objective function are reduction in the weight of the shell, which is in the percentage equivalent of 9.6% without losing the strength and stability of the minimum surface shell on the square contour. The first forced oscillation frequency after the optimization calculation from the thermoforce load is 0.10187155 Hz, which is actually represented by the limitation.
Using the author's methodology and software, it is possible to perform an effective optimization calculation of the minimum surface shell on the square contour.
Modeling the process of biological deferrization of underground waters in contact loading of bioreactor
Authors: Kvartenko Oleksandr , Prysiazhniuk Igor 
Published: December 2022

The conducted analysis of modern biotechnologies in the field of groundwater treatment showed that one of the development trends is the direction of biological iron removal, which has not only a long history and fundamentality of research into the physiology, ultrastructure and life mechanisms of ferrobacteria, but also a wide implementation of the method at water treatment plants in Europе, Australia, Canada, USA, Japan. The introduction of modern technological equipment at such stations calls for the need to forecast their work using methods of mathematical modeling of processes with their subsequent computer implementation. The work provides a brief analysis of existing mathematical models, most of which are based on the kinetics of enzymatic reactions and are presented as modifications of the Michaelis-Menten and Monod equations.
Despite the large number of studies on this topic, until now there is no comprehensive model that would take into account all the processes that take place in the contact loading of bioreactors, in contrast to the physicochemical mechanisms in the filtering process, for which modern multicomponent mathematical models have been developed.
The aim of the work is to development of a mathematical model of the kinetics of the process of biological iron removal groundwater in bioreactors and verification of its computer implementation with the data of experimental studies. The mathematical model is represented by the Cauchy problem for a nonlinear system of differential equations in partial derivatives of the first order. The system of the Cauchy problem consists of five equations with five unknown functions, which describe the distribution the concentration of ferrum cations, bacteria and the matrix structures in two phases (movable and immobilized) both in space and time The inverse influence of the characteristics of the process, in particular, the concentration of matrix structures in the inter-pore space, as well as characteristics of the medium with the help of coefficients of mass exchange and porosity, were taken into account. The model makes it possible to predict changes in cleaning efficiency depending on the duration of the filter cycle, filtration speed, Fe2+ concentration, the content of iron bacteria and their matrix structures in the interpore space, and to determine the optimal time of operation of the bioreactor between washings
Klasifikasi Tweet Influencer NU Dengan GNPF-Ulama Menggunakan Naive Bayes Dan Support Vector Machine
Authors: Ihsan Muhammad , Desmulyati Desmulyati 
Published: December 2022

Abstrak - Terdapat dua kelompok besar yang saling memperebutkan pengaruh, yang penulis teliti yaitu Nahdlatul Ulama (NU) dengan wacana Islam dan nasionalisme, dan Gerakan Nasional Pembela Fatwa Ulama (GNPF-Ulama) dengan wacana yang hanya menekankan pada aspek keagamaan. Penelitian ini melakukan klasifikasi tweet dari Influencer yang berafiliasi dengan NU dan GNPF-Ulama di media sosial twitter. Algoritma yang digunakan adalah Naive Bayes dan Support Vector Machine. Data twitter diambil menggunakan library tweepy, proses preprocessing menggunakan python dengan penggunaan library Sastrawi untuk melakukan stemming kata bahasa Indonesia. Klasifikasi dengan metode Naive Bayes dan Support Vector Machine dilakukan menggunakan aplikasi RapidMiner. Berdasarkan penelitian, metode Support Vector Machine menghasilkan nilai akurasi dan AUC yang lebih baik dari Naive Bayes yakni sebesar 77.28% dan AUC sebesar 0.863.Kata Kunci - Klasifikasi, Naive Bayes, Support Vector Machine, NU, GNPF-Ulama Abstract - There are two major groups competing for influence, which the authors examine, namely Nahdlatul Ulama (NU) with a discourse on Islam and nationalism, and the National Movement for Defending Fatwa Ulama (GNPF-Ulama) with a discourse that only emphasizes religious aspects. This study classified tweets from Influencers affiliated with NU and GNPF-Ulama on Twitter social media. The algorithm used is Naive Bayes and Support Vector Machine. Twitter data is taken using the tweepy library, the preprocessing process uses python with the use of the Sastrawi library to stem Indonesian words. Classification using the Naive Bayes method and Support Vector Machine is done using the RapidMiner application. Based on the research, the Support Vector Machine method produces better accuracy and AUC values than Naive Bayes which is 77.28% and AUC of 0.863.Keywords - Classification, Naive Bayes, Support Vector Machine, NU, GNPF-Ulama
Komparasi Metode SAW Dan ANP Dalam Merekomendasikan Penerima Bantuan Covid-19
Authors: Dzaky Muhammad Khairy , Cynthia Eka Pandu , Gusti Siska Kurnia 
Published: December 2022

Abstrak - Pada masa sekarang ini, dunia dihebohkan dengan munculnya serangan virus yang disebut dengan Covid-19. Penyebaran virus ini sangatlah cepat sehingga membuat masyarakat menjadi khawatir dan gelisah. Untuk mengurangi penyebaran virus ini, pemerintah pusat menghimbau seluruh masyarakat untuk melaksanakan Pembatasan Sosial Berskala Besar (PSBB), karantina wilayah dan lockdown. Dengan diterapkannya himbauan ini mengakibatkan perekonomian masyarakat menjadi tidak stabil bahkan mengalami penurunan. Hal ini berdampak ke seluruh daerah di Indonesia termasuk salah satunya di Desa Pesisir. Untuk mengurangi dampak sosial ekonomi pandemi Covid-19 di desa Pesisir, pemerintah memberikan bantuan kepada masyarakat berupa bantuan langsung tunai desa dan bahan sembako. Meskipun begitu, bantuan yang diberikan masih belum disalurkan secara optimal, karena masih menggunakan distribusi berdasarkan subjektifitas pegawai kelurahan. Sehingga, konflik antar warga tidak dapat dihindari. Penelitian ini dilakukan untuk mengetahui siapa saja yang berhak untuk menerima bantuan Covid-19 di desa Pesisir yang ditentukan berdasarkan kategori dan kriteria yang telah ditetapkan. Penelitian ini menerapkan metode Simple Additive Weighting (SAW) dan metode Analytical Network Process (ANP) untuk menghasilkan rekomendasi mengenai siapa saja yang berhak menerima bantuan Covid-19 di desa Pesisir.Kata Kunci: Analytical Network Process (ANP), Covid-19, Desa Pesisir, Simple Additive Weighting (SAW), Abstract - At this time, the world was shocked by the emergence of a virus attack called Covid-19. The spread of this virus is so fast that it makes people become worried and anxious. To reduce the spread of this virus, the central government urges the entire community to implement Large-Scale Social Restrictions (PSBB), regional quarantine and lockdown. With the implementation of this appeal, the community's economy became unstable and even experienced a decline. This has an impact on all regions in Indonesia, including one in the Coastal Village. To reduce the socio-economic impact of the Covid- 19 pandemic in Pesisir villages, the government provided assistance to the community in the form of direct village cash assistance in the form of basic necessities. Even so, the assistance provided is still not optimally distributed, because it is still using a distribution based on the subjectivity of kelurahan employees. Thus, conflicts between citizens cannot be avoided. This research was conducted to find out who is entitled to receive Covid-19 assistance in the Pesisir village which is determined based on the categories and criteria that have been set. This study applies the Simple Additive Weighting (SAW) method and the Analytical Network Process (ANP) method to produce recommendations regarding who is entitled to receive Covid-19 assistance in the Pesisir village.Keywords: Analytical Network Process (ANP), Covid-19, Pesisir village, Simple Additive Weighting (SAW),
Human Capital Development Challenges During the COVID-19 Pandemic
Authors: Nadya Eva , Maryam Maryam , Hanum Filia , Kasmaniar Kasmaniar , Arsyad Arsyad 
Published: December 2022

The concept of human capital and strategic human resource management are critical to ensure success. Human capital is crucial to increase assets and give long-term advantages to both an enterprise and a country. However, the COVID-19 pandemic which began in early 2020 and still continues today is the reason behind the issues of health deterioration and low life expectancy rates. Similarly, the quality of learning suffered severe disturbance during the pandemic. As a result, this situation is critical for the overall development of human capital in Indonesia. The government's challenging task in the future is to develop a plan to ameliorate the situation in different affected areas such as health, education, and employment. This article examines various literature and supporting data that are relevant to the role of human capital in development in a country, current conditions, obstacles, achievements, and strategies that must be implemented in the framework of recovery from disruptions caused by the global economic crisis and the COVID-19 pandemic, both of which disrupted the overall economic order. This report also illustrates how Indonesia's situation improves human capital while also highlighting its successes. Keywords: Human Capital, Strategic Management, COVID-19 Pandemic, Human Development
Hedonic Profile and Spoilage Detection of Mackerel Tuna Fish Balls Preserved with Coconut Shell Liquid Smoke During Storage
Authors: Purwanti Eli , Juliani Juliani , Yulia Ruka 
Published: December 2022

The processing of mackerel tuna-based food products is still very limited, so efforts to diversify other mackerel tuna-based food products are needed. One of the products that can be made from fish meat is fishballs. Fishballs are a nutrient-rich product with a high-water content so that the product quickly became spoilage when stored at room temperatures. Liquid smoke is reported to have been used as a natural preservative. However, there are no reports regarding mackerel tuna fishballs that soaking in coconut shell liquid smoke could affect the consumer's preference on hendonic properties such as color, aroma, taste and texture. The product was analyzed using hedonic test is a test for color, aroma, taste, texture. The data was analyzed descriptively. The result shows that color preference of average 3.92 (likes), aroma preference of average 3.22 (likes), taste preference of average 3.81 (likes), and texture preference of average 3.26 (likes). Based on spoilage detection which shows spoilage characteristics such as off odor, off flavor, and acidity so that shelf life of mackerel tuna fishballs preserved with coconut shell liquid smoke predicted less than 5 days and more than three days at room temperatures. Keywords: Euthynnus Affinis, Organoleptic, Sensory-Based Detection, Food Diversification
Analysis of Quality Control of Raw Materials with the Seven Tools Method on Sweet Bread Products at UD. Sarigut Bakery in Banda Aceh
Authors: Ulhaq Zia , Mulyati Dewi , Fahlevi Dini , Maulinda Maulinda 
Published: December 2022

Product quality is an important factor that affects the level of development and progress of a company. Companies that operate without paying attention to the quality of their products are tantamount to losing hope for the future of the company. The resulting product must always be checked for compliance with the established standards, so that the damage that occurs to the product can be reduced and eliminated. This study aims to analyze the quality control of raw materials using the seven tools method on sweet bread products at UD. Sarigut Bakery Banda Aceh. This research data is primary data obtained by researchers from questions posed to original sources and also observations of researchers at the location directly. The results of the study found that the quality control of raw and supporting materials was not good enough because the company was not able to maintain the quality standards and brands of materials set by using non-standard materials with lower quality levels. As for the feasibility of the storage warehouse, the control is quite good because the arrangement and placement of materials is orderly and the cleanliness of the warehouse and factory is quite well maintained. Disability caused by working hours is R² = 0.1336 or 13.36%. Defects due to long storage of raw materials are R² = 0.7254 or 72.54%. Meanwhile, defects due to the use of non-standard wheat flour raw materials are R² = 0.8621 or 86.21%. Non-standard raw materials are the biggest factor in causing product defects, this is caused by the condition of substitute materials that are not up to standard, which results in high water content in bread. Keywords: Quality control of raw materials, seven tools, sweet bread