bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengaruh Pemberian Jus Buah Naga (Hylocereus Polyrhizus) dan Madu Dengan Kombinasi Tablet Fe Terhadap Peningkatan Kadar Hemoglobin Pada Ibu Hamil Dengan Anemia
Authors: Meilinda Vitria , Natasya Alitta Dwi Namira
Published: July 2023

According to the World Health Organization (WHO), 40% of pregnant women worldwide suffer from anemia. Anemia in pregnancy is a condition in which pregnant women have Hb levels < 11.00 g% in the I, II and III trimesters or Hb levels < 10.50 g% in the second trimester, because there are differences in hemodilution, especially in the second trimester. Efforts to overcome iron deficiency anemia in pregnant women can be done medically and non-medically (complementary). The purpose of this study was to determine the effect of dragon fruit juice (Hylocereus Polyrhizus) and forest honey combine with Fe tablets to increase Hb levels in pregnant women with anemia in the Working Area of Harapan Raya Community Health Center Pekanbaru in 2022. The type of this study was a Quasy Experiment, with a design a one-group pretest-posttest study, namely by conducting a pre-test study of Hemoglobin levels in research subjects and then giving treatment to research subjects, after that a post-test assessment of Hemoglobin levels was carried out on the research subjects. The results showed that the average Hb level of pregnant women before being given dragon fruit was 10,558 (SD .2107) and after being given dragon fruit, the average Hb level of pregnant women was 11,776 (SD .2716). Based on the results of statistical tests, it was found that there was an effect of giving dragon fruit to increase hemoglobin levels in pregnant women (p = 0.000 (<0.05)). The conclusion of this study is dragon fruit juice and honey have an effect in increasing Hb levels in pregnant women with anemia. It is recommended to Harapan Raya Community Health Center Pekanbaru to provide education to pregnant women that Dragon Fruit can be used as an alternative to Fe tablets to increase hemoglobin levels in pregnant women.
PENGARUH PEMBERIAN DIMSUM AYAM KOMBINASI TEPUNG DAUN KELOR (MORINGA OLEIFERA) TERHADAP KADAR HAEMOGLOBIN REMAJA PUTRI
Authors: Oktavianis Oktavianis , Gusfiana Hafika
Published: July 2023

Anemia is one of major public health problems throughout the world, including Indonesia. One of the community groups with a high prevalence of anemia is adolescent girls. Anemia that often occurs in adolescent girls is iron deficiency anemia due to lack of nutrients that play a role in the process of forming hemoglobin. One food that is high in iron and protein is Moringa leaves. This study aimed to determine The Effect of Chicken Dimsum Combination of Moringa Leaf Flour (Moringa Oleifera) on hemoglobin Levels of Anemia in Young Women in Sijunjung Regency in 2022. The type of research was Quasi Experiment with pretest-posttest design with control group design. The population was adolescent girls in Sijunjung Regency. Consisting of 30 people in the intervention group and 30 people in the control group. The sampling technique was purposive sampling with inclusion and exclusion criteria. Primary data collection using Easy Touch GcHb was entered into the observation sheet. Data analysis with univariate and bivariate. The results showed that the average hemoglobin level in the pretest was 13.93 and the posttest was 14.37. The statistical test results obtained p = 0.000 (p <0.05), It means that there was an effect of chicken dimsum combination with Moringa leaf flour (Moringa Oleifera) on the hemoglobin levels of adolescent girls. In short, it can be concluded that there is an effect of chicken dimsum witth combination of Moringa leaf flour (Moringa Oleifera) on the hemoglobin levels of adolescent girls in Sijunjung Regency in 2022". Last, it is suggested that the health services do the collaboration with the schools to provide counseling on how to detect and prevent anemia, increase the intake of iron-rich foods such as Moringa leaves, and carry out routine hemoglobin checks.
The Global Economy and Its Requirements for Social Responsibility of Enterprises
Authors:   National Technical University «Kharkiv Polytechnic Institute», Podrez Olha I. , Cherepanova Viktoriia О. ,   National Technical University «Kharkiv Polytechnic Institute»
Published: July 2023

The article is aimed at studying the essence of the definition of «global economy», as well as the impact of modern transformation processes on the activity of the State and enterprises in the sphere of social protection and social security of workers and population. On the basis of terminological analysis, the essence and characteristics of the global economy as a constantly changing process concerning the unification of countries into a single informational, economic, ecological and social space have been determined. A systematization of positive and negative consequences of globalization in relation to the development of the social sphere of developed countries and developing countries was carried out. It is proved that, under the influence of the negative consequences of globalization, there is a need to form a system of social protection, which is based on the use of social security at the level of the State and at the level of enterprise, in accordance with types and instruments. At the State level, social security is divided into such types as: legal and administrative, economic, ecological, material and energy, and medical, and at the enterprise level as financial, ecological, material and energy, medical, and legal. This distribution allows taking measures for social protection for specific types of social security. A chain has been built to eliminate the impact of negative consequences on the social sphere, namely: the consequences of the impact of the global economy – social consequences – social protection – social responsibility – social partnership. In further research, it is advisable to build a conception of social responsibility management of enterprises, which is aimed at developing and implementing social protection measures, as well as to determine the structure, components and instruments of the mechanism for its implementation.
The Essence and Significance of Tax Instruments in Ensuring the Recovery of the Economy of Ukraine
Authors:   State Tax University, Koliada Tetiana A. , Tokarchuk Olha L. ,   State Tax University
Published: July 2023

The article is aimed at revealing the essence and significance of tax instruments for implementing the budget policy to ensure the recovery of Ukraine’s economy, also at developing recommendations for improving the efficiency of their use. The article generalizes the theoretical foundations of formation and implementation of budget policy; shortcomings and problems that impede the effective functioning of the tax system are identified; an assessment of the efficiency of the use of various tax instruments that can affect the success of implementation of the budget policy is provided; the directions of improvement of tax instruments of budgetary policy to ensure the recovery of the economy of Ukraine are substantiated. It is proved that in modern conditions the discrepancy between the tax system and the state of the economy becomes a chronic problem that has a negative impact on the balanced budget and macro-financial stability of the country. The tax system is one of the key instruments of the State regulation of the economy, as it defines the rules and mechanisms for collecting taxes, their distribution, use to ensure financing of the State functions as such, and achievement of the goals of socioeconomic development. It is substantiated that owing to changes in economic and social conditions, the tax system may lose its efficiency and adaptability to new challenges. There is a situation when legislation becomes outdated, complex and unable to take into account the current realities of the economy. Also, due to the full-scale war on the territory of Ukraine, the volume of the budget deficit has rapidly increased and a recession in the economy takes place. To overcome these problems, the government needs to develop ways to improve fiscal policy by modernizing tax instruments and assessing their effectiveness and their focus on achieving long-term priorities. Prospect for further research in this direction is to determine the optimal structure of tax revenues to budgets of all levels, taking into account the peculiarities of post-war economic development and assess the impact of using tax instruments on stimulating economic recovery in Ukraine.
The Risk-Based Approach to the Banks’ Financial Flows Management: Global Practice and Experience of Ukraine
Authors:   Ivan Franko National University of Lviv, Tomarovych Tetiana V.
Published: July 2023

The article highlights the world practice and experience of Ukraine in managing financial flows of the bank taking into account the risk-based approach. It is proved that the experience of Ukraine, which is applied in practice in the management of financial flows of the bank, taking into account the risk-based approach, meets the requirements of the international standards of the group for the development of financial measures to counter money laundering and terrorist financing (FATF), Basel principles of effective banking supervision, directives and regulations of the European Parliament and the Council of the European Union in the field of prevention and counteraction to legalization of criminal proceeds/terrorist financing. A comparative analysis of FATF recommendations on risk management and risk management models in Ukraine (single-tier and two-tier) is carried out and the efficiency of their use is proved. An analysis of current measures of the National Bank of Ukraine in the field of prevention and counteraction to legalization of criminal proceeds/terrorist financing is carried out, taking into account the characteristics of the measures taken in the first quarter of 2023. It is proved that the risk-based approach, which is specified in the current legislation of Ukraine, covers all necessary directions – from entities that have an increased level of risk to entities with a reduced level of risk – in order to minimize these risks in the process of economic activity, but this is not always reflected in the practice of domestic economic entities. Based on the results of the assessment, it was concluded that further developments should focus on even more intensive interaction of Ukrainian legislation and best international practices in the field of prevention and counteraction to legalization (laundering) of proceeds from crime, terrorist financing, also financing of proliferation of weapons of mass destruction.
The Importance of Consulting for the Ukrainian Market for Sales of New Passenger Cars
Authors:   V. N. Karazin Kharkiv National University, Mangushev Dmytro V. , Babenko Nadiia M. ,   V. N. Karazin Kharkiv National University
Published: July 2023

The article is aimed at studying managerial consulting as a business and an effective method of sales and profitability of a firm, considering the importance of consulting in the passenger car market. The difference between the terms «managerial consulting» and «consulting» is considered. The characteristic features of managerial consulting for enterprises are identified. Consulting is considered on the example of passenger car sales and their growth rates during 2018–2022. The article describes what problems specialists and companies face in their work. It is found which brands of cars and in what quantity were sold during the specified years. It was further considered which car brands were sold the most, especially for such public structures as the National Police of Ukraine, the Security Service of Ukraine, the Ministry of Justice of Ukraine, the State Forest Resources Agency of Ukraine, the State Bureau of Investigation of Ukraine, and the Foreign Intelligence Service of Ukraine, also purchase of cars by the aforementioned agencies in the terms of quantity and amount. The article analyzes which car brands according to Prozorro are among the five most popular in sales among government bodies. The article allocates the factors (political, economic, social, technological, ecological, etc.) to influence the managerial consulting and what exactly can influence a decision to buy a passenger car. The article describes what functions a consultant should perform in his work, and what skills in psychology the consultant should have a good command of. The prospects of development of managerial consulting in the future are allocated, taking into account the current trends.
The Functional Orientation of the Integrated Instrumentarium of the Economic Mechanism for Increasing the Energy Efficiency of the National Economy
Authors:   Drohobych Ivan Franko State Pedagogical University, Rybchuk Anatoliy V. , Protsyshyn Oksana R. ,   Drohobych Professional College of Oil and Gas, Lapchuk Yaroslav S. ,   Drohobych Ivan Franko State Pedagogical University, Zinkevych Vasyl I. ,   Drohobych Professional College of Oil and Gas
Published: July 2023

The article analyzes the essence and directions of improving the energy efficiency of the national economy. It is noted that the leading role in this process is assigned to the economic mechanism, which should generally be recognized as an integrated system of means of influencing economic phenomena observed in the process of production, exchange, distribution and consumption of energy resources. It is emphasized that the most important indicator characterizing the efficiency of energy consumption at the macro-level is the energy intensity of gross domestic product (GDP), according to which Ukraine significantly lags behind many countries of the world. Therefore, one of the effective instruments to reduce the energy intensity of the State’s GDP is the use of tax incentives. The functional role of structural elements of the economic mechanism of energy efficiency is disclosed, which are manifested in the following: firstly, the leading place in the system of instruments for implementing energy-efficient policy is occupied by pricing for energy resources, which, unfortunately, is dominated by the cost methodology. Simultaneously, it is necessary to deprive enterprises of the domestic fuel and energy complex of the right to manipulate prices for their products; secondly, in order to implement the energy efficiency policy, it is necessary to form tariffs for energy resources based on the reimbursement of economically justified costs for their production, transportation and delivery to consumers; thirdly, the implementation of strategic goals for the development of energy saving requires significant investments, in particular, targeted loans to finance energy-saving technologies. The necessity of finding and developing new, more effective instruments of the economic mechanism for improving the energy efficiency of the national economy is proved.
Modern Management Technologies in the Hotel and Restaurant Business: Practices and Innovations
Authors:   Zhytomyr Ivan Franko State University, Kaschuck Kateryna M. , Mosiichuk Iryna V. ,   Zhytomyr Ivan Franko State University, Saukh Iryna V. ,   Zhytomyr Ivan Franko State University
Published: July 2023

The article is aimed at acquaintance with new technologies that can be used to improve the efficiency of hotel and restaurant management, customer service, and ensuring competitive advantage. Analyzing, systematizing and generalizing the scientific works of many scholars, the current management technologies in the hotel and restaurant business were considered and the best practices and innovations in this area were presented. As a result of the study, the main trends in the development of the hotel industry are identified. The list of well-known companies offering modern management technologies is determined, general classification approaches to innovative technologies are developed. It is substantiated that innovative technologies help restaurant industry enterprises to improve work efficiency, provide better guest service and create a competitive advantage in the market. The list of innovative technologies that are recommended for use at restaurant industry enterprises together with the companies that use them in order to increase efficiency, improve guest experience and remain competitive in the hotel and restaurant business market are determined. The use of digital technologies such as mobile reservation apps or online reservations of rooms has been proven to lead to more bookings and an improved guest experience, and innovative technologies such as robotics, process automation and artificial intelligence can enable more efficient operation, reduce errors and increase guest satisfaction. Prospects for further research in this direction are to study of the most promising and innovative forms of organization of hotel business – apart-hotels, to refer to their economic essence, types and advantages, also to study foreign experience and explore the problems of development of this form of organization of hotel business in Ukraine.
Presensi Perkuliahan Menggunakan Teknologi Beacon Bluetooth Low Energy
Authors: Rahim Abdul , Pareza Alam Jusia
Published: July 2023

Presensi perkuliahan merupakan kegiatan untuk pencatatan kehadiran mahasiswa dalam proses belajar mengajar. Diantara kendala dalam proses presensi perkuliahan di kelas adalah bagaimana memastikan bahwa presensi kehadiran memang benar dilakukan oleh mahasiswa yang berada di kelas perkuliahan tersebut. Penelitian ini bertujuan untuk menerapkan teknologi beacon bluetooth low energy (ble) pada presensi perkuliahan dikelas. Beacon merupakan perangkat kecil yang memancarkan sinyal melalui bluetooth yang berisi informasi tertentu. Di penelitian ini penulis memanfaatkan perangkat smartphone milik dosen sebagai pemancar beacon dan perangkat mahasiswa sebagai pemindai beacon. Metode penelitian di penelitian ini meliputi analisis kebutuhan dan tuntutan dari pengguna, studi literatur mengenai teknologi bluetooth maupun beacon dan aplikasi presensi, serta perancangan dan uji coba. Hasil dari penelitian ini menunjukkan bahwa presensi menggunakan beacon ble yang dibuat dapat berjalan dengan baik dan presensi perkuliahan menjadi lebih praktis. Dengan memanfaatkan teknologi beacon ble, aplikasi yang dibuat dapat mendeteksi jarak antara perangkat dosen dan perangkat mahasiswa. Dengan aplikasi ini, dosen dapat mengetahui jarak antara dirinya dengan mahasiswa yang telah melakukan presensi
Implementasi Web Semantik Terhadap Manajemen Pengelolaan Pengarsipan Dokumen Dan Surat (E-Arsip)
Authors: Hidayat Rahmad , Nur Rofil M , Wijaya Romi
Published: July 2023

Mitra Kerinci merupakan salah satu perusahaan perkebunan teh yang mempunyai kantor di Padang. Penyimpanan arsip dokumen pada PT. Mitra Kerinci Padang masih dilakukan secara konvensional, yaitu data informasi disimpan kedalam map, lemari dan masih melakukan pencatatan secara manual, sehingga kurang efektif dan efisien dalam proses pencarian dan penyimpanan data. Atas dasar permasalahan yang terjadi, maka dirancanglah sebuah sistem informasi pengelolaan dokumen surat pada PT. Mitra Kerinci Padang berbasis web semantik. Tujuan dari penelitian ini adalah membangun sebuah sistem yang memberikan kemudahan kepada karyawan dan pimpinan didalam pekerjaannya sehingga lebih cepat dalam pencarian, penyimpanan dan pembuatan laporan. Pada prosesnya, dirancanglah sebuah website dengan alat bantu UML kemudian dibuat desain output, desain input dan desain file, lalu diimplementasikan ke dalam bahasa pemrograman PHP dan database MySQL. Dengan diterapkannya aplikasi sistem informasi ini, maka terjadilah peningkatan kinerja yang lebih efektif dan efisien dalam pengelolaan pengarsipan dokumen surat pada PT. Mitra Kerinci Padang.
Penerapan Metode K-Nearest Neighbor (KNN) untuk Klasifikasi Kematangan Buah Kopi
Authors: Amelia Nerlys , Garonga Melki , Rusman Juprianus
Published: July 2023

Perkebunan kopi di Indonesia berperan penting bagi masyarakat sebagai lapangan pekerjaan. Penentuan tingkat kematangan buah kopi yang masih dilakukan secara manual, baik secara racutan atau rampasan berdasarkan pengamatan secara subjektif. Kematangan buah kopi dapat dilihat dari tiga tingkatan yaitu matang, stengah matang dan mentah sehingga warna buah kopi dapat menjadi tolak ukur untuk mengenali tingkat kematangan serta kualitas buah kopi. Ekstraksi fitur warna  merupakan salah satu teknik yang dapat digunakan untuk memperoleh informasi tingkat kematangan buah kopi dengan cara memunculkan ciri dari sebuah citra menggunakan fitur warna serta segmentasi tresholding. Total citra buah kopi yang digunakan dalam penelitian ini sebanyak 300, yang terdiri dari 100 citra buah kopi matang, 100 citra buah kopi stengah matang dan 100 citra buah kopi mentah. Dengan menggunakan fitur warna RGB dan HSV serta algoritma KNN untuk pengklasifikasian tingkat kematangan buah kopi, diperoleh hasil akurasi tertinggi dengan nilai K = 3 sebesar 95%.
A Review of Automated Reasoning and Its Applications in the 21st Century.
Authors: Ndungi Rebeccah , Uyun Shofwatul
Published: July 2023

This article takes a look at the progress and advancement of  automated reasoning and its applications in the 21st century. Reasoning refers to the method of reaching logical conclusions. The construction of computing systems that automate this process over some knowledge bases is the focus of automatic reasoning. Automated Reasoning is frequently regarded as a subfield of machine learning. It is also studied in theoretical computer science and philosophy. Some of the applications of automated reasoning include but not limited to Tableau-style systems, Automatic Theorem Proving, Superposition and Saturation, benchmarks and Classical First-Order Logic. The development of formal led to the development of artificial intelligence, which was essential in the development of artificial intelligence for reasoning.
Pemanfaatan Model Long Short Term Memory (LSTM) Untuk Prediksi Harga Emas Sebagai Instrumen Investasi Dalam Mempersiapkan Ancaman Resesi Global 2023
Authors: Jamaludin  , Toto Haryanto
Published: July 2023

Dampak dari Pandemi Covid 19 masih dirasakan oleh semua orang sampai saat ini. Akibat pandemi yang terjadi berimbas pada perputaran ekonomi dunia, belum juga perparah oleh konflik perang antara negara Rusia dan Ukraina. Hal ini secara tidak langsung menyebabkan harga komoditas menjadi naik dan mengakibatkan terjadinya inflasi. Ketika kondisi ekonomi Global tidak menentu, International Monetary Fund (IMF) melaporkan terjadinya pelambatan ekonomi dan hal ini dibenarkan juga Menteri Keuangan Republik Indonesia. Salah satu persiapan ketika terjadi inflasi adalah dengan berinvestasi. Banyak investasi yang ditawarkan saat ini, namun saat inflasi terjadi, berinvestasi emas merupakan pilihan yang tepat karena memiliki sifat sebagai pelindung nilai. Namun banyak investor yang masih ragu untuk berinvestasi emas dikarenakan harganya yang fluktuatif dan tidak bisa ditebak. Oleh karena itu, penelitian ini dilakukan untuk memprediksi harga emas menggunakan model Long Short Term Memory (LSTM) agar investor menjadi yakin dalam berinvestasi emas untuk mempersiapkan ketika terjadinya resesi Global 2023. Hasil penelitian didapatkan dengan 10 epochs menghasilkan RMSE 20 dan harga emas untuk 60 hari kedepan diprediksi akan naik.
Incremental News Mining Using Evolving Clustering with Functional Operators
Authors: Hidayah Amalia Wirdatul , Barakbah Ali Ridho , Syarif Iwan
Published: July 2023

Online media publish journalistic products, one of which is news online (online news). This is in line with the findings of the Ministry of Communication and Informatics (Kemkominfo), that in 2018 there were 43,000 online media in Indonesia. On generally in getting actual news, humans tend to read the news on online media one by one. The activity is not effective because of the news that produced by online media have the same information with each other news. In this study, we propose an innovative solution to this issue by developing a news mining system that employs clustering based on an evolving system. This system has the potential to improve the effectiveness of news retrieval by grouping similar news together and identifying key information trends, ultimately enhancing the ability of individuals to obtain actual news. Based on research observations, the performance of news clustering using an evolving clustering system with functional operators is quite good, as evidenced by an accuracy of 83%.
Pengaruh Sistem Informasi Terhadap Proses Penciptaan Ilmu Pengetahuan Pada Mahasiswa Fakultas Ilmu Komputer Universitas Sriwijaya
Authors: Aritonang Cindy Nadira Elfarisa , Jambak Muhammad Ihsan
Published: July 2023

Penciptaan pengetahuan merupakan suatu proses yang dilakukan oleh individu untuk menciptakan dan mendapatkan ide-ide kreatif oleh organisasi. Namun, terjadinya proses penciptaan pengetahuan dalam diri masing-masing individu tentunya berbeda berdasarkan faktor-faktor yang mempengaruhi proses penciptaan pengetahuan tersebut. Teknologi merupakan faktor pendukung paling penting dari produktivitas proses penciptaan pengetahuan di berbagai kalangan dan sistem informasi diperlukan sebagai media dalam proses penciptaan pengetahuan. Theory of Planned Behavior dan teori Budaya Organisasi merupakan teori yang mendasari konstruk penelitian ini. Penelitian ini menggunakan metode kuantitatif. Populasi dalam penelitian ini berjumlah 2.666 dan jumlah sampel sebanyak 348 yang diperoleh melalui metode stratified random sampling. Dalam menganalisis data dalam penelitian ini menggunakan teknik Structural Equation Model (SEM-PLS) dan menggunakan software SmartPLS. Hasil yang diperolah adalah proses penciptaan pengetahuan dipengaruh oleh Sikap Individu, Budaya Organisasi dan Sistem Informasi. Sedangkan Sistem Informasi tidak dapat mempengaruhi hubungan antara Sikap Individu dan Budaya Organisasi dengan Proses Penciptaan Pengetahuan.
Semantic Information Search with Automatic Ontology Creation in Regulations National Standards for Higher Education in Indonesia
Authors: Hidayah Nadila Wirdatul , Ali Ridho Barakbah  , Iwan Syarif
Published: July 2023

In Indonesia, there are around ten types of legal products that contain higher education regulations. With a large number of articles, more effort is needed when users search for links between one article and another. Based on these problems, it is necessary to have an automatic article representation search system using an automatic ontology. Ontology refers to the hierarchical structure of entities and their relationships. In this paper, the results of the development of an information retrieval system with an automated ontology will be explained. This system describes a process begins with receiving input of higher education regulatory files which are used as data samples Permendikbud No 3 of 2020. Then split the data into articles, paragraphs and contents which are then formed ontologies by building 3 detection functions (Definitive Creation, Compound Creation, and Reference Detection). System output has an accuracy of search results reaching an accuracy of 92.5%.
Studi Perbandingan Kombinasi GMI, HSV, KNN, dan CNN pada Klasifikasi Daun Herbal
Authors: Alfitriana Riska  , Purnawansyah  , Darwis Herdianti , Astuti Wistiani
Published: July 2023

Tumbuhan herbal memiliki banyak variasi yang dapat dikenali melalui ciri uniknya secara visual. Namun, cara ini sulit diterapkan pada tumbuhan yang memiliki ciri hampir sama. Penelitian ini membandingkan kinerja metode K-Nearest Neighbour (KNN) dan Convolutional Neural Network (CNN) dalam klasifikasi fitur daun herbal yang diekstraksi dengan menggunakan Geometric Moment Invariant (GMI) dan Hue Saturation Value (HSV). Dataset yang digunakan adalah dataset citra daun katuk (Sauropus androgynus) dan daun kelor (Moringa oleifera) dengan skenario citra terang dan citra gelap. Pembagian data untuk tiap skenario adalah 80% untuk training dan 20% untuk testing. Metode KNN diuji menggunakan nilai  dan evaluasi kinerja KNN dan CNN meliputi accuracy, precision, recall, dan f1-score. Hasil penelitian menunjukkan bahwa CNN tanpa ekstraksi fitur dan CNN dengan kombinasi ekstraksi fitur HSV memperoleh performa terbaik dengan rata-rata nilai precision, recall, f1-score dan accuracy sebesar 98% untuk skenario gelap maupun terang.
Algoritma Minimax untuk Game Tic Tac Toe yang Menantang
Authors: Thamrin Husni , Pamungkas Ramadhana Wahid Aji
Published: July 2023

Algoritma minimax adalah algoritma yang digunakan untuk menentukan pilihan dengan memperkecil kemungkinan kehilangan nilai maksimal. Dalam konteks game, algoritma minimax meminimalkan kemungkinan kekalahan dan memaksimalkan kemungkinan kemenangan. Algoritma minimax dapat diterapkan dalam game berbasis papan permainan seperti tic tac toe dan catur. Penerapan algoritma minimax membuat komputer tidak terkalahkan sedangkan penggunaan metode random membuat komputer memilih langkah secara tidak logis dan dengan mudah dikalahkan. Untuk mendapatkan game yang menantang di mana pemain dapat memperoleh kemenangan, hasil seri, dan kekalahan, maka kedua metode dikombinasikan. Algoritma minimax memperhitungkan semua kemungkinan langkah pemain dan komputer sehingga waktu eksekusinya bergantung jumlah kotak kosong yang ada pada papan tic tac toe. Kompleksitas algoritma bersifat logaritmis atau O(xn). Untuk jumlah kotak kosong lebih dari 9 maka waktu eksekusi berada pada orde detik dan ketika kotak kosong berjumlah 13 waktu eksekusi berada pada orde jam. Karena itu algoritma minimax dapat diterapkan pada pada papan tic tac toe 3 x 3 namun tidak dapat digunakan pada papan 4 x 4. Untuk diterapkan pada papan 4 x 4 diperlukan perbaikan pada algoritma atau perubahan dalam penerapan algoritma.
The Influence of Self Efficiency and Internal Locus of Control on Career Planning of Students Departement of Beauty and Cosmetology Padang State University
Authors: Yanita Merita , Giatman  , Syah Nurhasan
Published: July 2023

Career planning is a process of determining activities or plans to be carried out in the future as a step towards achieving predetermined goals including knowledge and understanding of oneself, knowledge and understanding of work, and the use of correct reasoning between oneself and the world of work. . Individual career planning is influenced by several factors, including self-efficacy and internal locus of control. The purpose of this study was to determine whether there is an influence between self-efficacy and internal locus of control on the career planning of students of the Department of Beauty and Cosmetology, Padang State University. This research uses ex post-facto method. The population in this study were 459 students of the Department of Beauty and Cosmetology, Padang State University. From a total population of 459 students, a sample of 210 students was taken. The research sample was taken 210 students taken randomly. The data collection instrument used a scale, while data analysis used multiple regression techniques. Based on the analysis of research data, the results obtained 1) there is a significant influence of self-efficacy on career planning of students of the Department of Beauty and Cosmetology, Padang State University, 2) there is a significant influence of internal locus of control on career planning of students of the Department of Beauty and Cosmetology, Padang State University, 3) there is a simultaneous effect of self-efficacy and internal locus of control on the career planning of students of the Department of Beauty and Cosmetology, Padang State University.
Bibliometric Computational Mapping Analysis of Learning Video in Beauty Field (Vocational High School & University) Using VosViewer
Authors: Chairani Vici Syahril
Published: July 2023

This study aims to analyze the use of learning videos in Beauty Vocational Schools and Beauty study programs at the University level between 2013 and 2023 using bibliometric computational mapping analysis methods. Publish or Perish (PoP) software was used to collect publication data from the Google Scholar database using the keywords "Video Tutorial" AND "SMK" AND "Beauty". The search through Publish or Perish resulted in 285 articles. After elimination and rechecking, 78 articles were analyzed using VosViewer. The analysis results show that the number of publications related to this topic between 2013-2023 is still small, the highest number of publications occurred in the year "2022" with a total of "28" articles, while the lowest was in the year "2013-2015", where each year only "1" article was published. Keyword co-occurrence analysis using VOSViewer resulted in 12 terms grouped into 5 clusters. Network and density visualization showed several keywords that frequently appeared, namely video tutorials, video tutorial media and learning media. In addition, the overlay visualization illustrates keywords that have been trending in recent years namely video, video tutorial, learning video and learning media. Based on data analysis, it can be concluded that research related to the creation and utilization of video tutorials in learning in the field of beauty is still very little and not varied. There are still many subjects in Beauty Vocational Schools or courses in Beauty study programs that do not have video tutorials. This is an opportunity for academics and researchers in the field of Beauty.
Implementasi Machine Learning dengan Algoritma Naive Bayes Terhadap Sistem Informasi Pelayanan Pemberkasan Kepegawaian di BKPSDM Kota Palembang
Authors: Algiffary Arief
Published: July 2023

BKPSDM Kota Palembang saat ini menghadapi tantangan dalam pelayanan pemberkasan kepegawaian yang kurang efektif dan efisien. Penelitian ini berfokus pada pengembangan sistem informasi yang memanfaatkan metode machine learning dengan algoritma Naive Bayes untuk mengklasifikasikan berkas kepegawaian yang dimasukkan. Metode ini diharapkan dapat mempermudah pegawai dalam mengajukan berkas dengan mengurangi kesalahan saat pengunggahan dan mempercepat proses pengajuan. Temuan penelitian menunjukkan bahwa sistem informasi yang diimplementasikan algoritma Naive Bayes berhasil mencapai tingkat akurasi yang sebesar 95,83% dalam mengklasifikasikan berkas kepegawaian dengan tepat. Penelitian ini memberikan kontribusi yang signifikan dalam meningkatkan kualitas pelayanan pemberkasan kepegawaian di BKPSDM Kota Palembang, serta diharapkan mampu memberikan landasan bagi pengembangan sistem informasi serupa dalam konteks e-Government.
Support Vector Machine untuk Sentiment Analysis Bakal Calon Presiden Republik Indonesia 2024
Authors: Pranata Boby , Susanti
Published: July 2023

Survei Lingkaran Survei Indonesia dan Indo Barometer menempatkan 3 figur bakal calon presiden tertinggi, figur tersebut adalah Ganjar Pranowo, Anies Baswedan, dan Prabowo Subianto. Tiga tokoh yang dihasilkan dari survei tersebut merupakan figur terkenal. Banyak berita yang membicarakan tokoh tersebut, begitu juga dengan masyarakat. Masyarakat baik yang mendukung ataupun tidak, banyak membicarakan pada media sosial. Salah satu media sosial yang digunakan untuk beropini figur tersebut adalah media sosial Twitter. Dengan sentimen terhadap figur bakal calon presiden, dapat mengetahui bagaimana masyarakat menyikapi terhadap figur tersebut, trend sentimen terhadap figur, dan kata-kata yang menjadi sentimen. Sentimen-sentimen yang diberikan oleh pengguna Twitter tersebut banyak berupa opini ataupun berita yang jumlahnya sangat banyak di Twitter. Banyak teknik otomasi yang digunakan untuk melakukan analisis sentimen seperti pendekatan berbasis leksikon, menggunakan machine learning, atau gabungan keduanya. Algoritma machine learning yang digunakan beragam salah satunya Support Vector Machine (SVM). Hasil pelabelan menggunakan VADER Lexicon di dapatkan hasil sentimen positif 57.8% atau sebanyak 1022 ulasan, untuk sentimen netral 16.6% atau sebanyak 295 ulasan, dan untuk sentimen negatif 25.4% atau sebanyak 450 ulasan. Hasil pengujian menggunakan SVM menggunakan perbandingan 80% data latih 20% data uji menghasilkan akurasi sebesar 60%. Untuk perbandingan 70% data latih 30% data uji menghasilkan akurasi sebesar 59%. Sedangkan perbandingan 60% data latih 40% data uji menghasilkan akurasi sebesar 58%. Selanjutnya dapat disimpulkan hasil dari Confusion matrix bahwa pengenalan kalimat negatif lebih banyak dikenali sebagai kalimat positif. Berdasarkan hasil Word cloud kata capres, elektabilitas, pemilih, kritis, anis, dan ganjarmenangtotal merupakan kata yang sering muncul.
Perancangan Website E-Voting Menggunakan Smart Contract Pada Blockchain Polygon
Authors: Budi Eko Yanuarso , Prihantoro Cahyo , Nugroho Nicolaus Euclides Wahyu
Published: July 2023

Electronic voting (e-voting) merupakan salah satu jenis sistem voting yang prosesnya berjalan dengan sistem elektronik. E-voting dikembangkan untuk menjadi alternatif lain voting tradisional negara demokrasi. Di Indonesia sistem pemilihan menggunakan e-voting mulai diterapkan pada skala desa. Dengan adanya perancangan website e-voting menggunakan smart contract blockchain Polygon bertujuan agar melengkapi sistem yang sudah ada terutama keamanan, transparansi dan meningkatkan kepercayaan masyarakat dalam proses pemilihan. Penerapan blockchain pada masa sekarang masih dibilang awal tentunya membutuhkan pengembangan dan improvisasi. Mekanisme yang ditawarkan pada penelitian ini adalah penggunaan smart contract voting yang artinya proses voting berjalan diatas jaringan blockchain. Pemilih akan mendapatkan Non-Fungible Token setelah voting sukses sebagai bukti telah memilih.
Klasifikasi Penyakit Bawang Merah Menggunakan Naive Bayes dan CNN dengan Fitur GLCM
Authors: Arfah Jumrayanti , Purnawansyah  , Darwis Herdianti , Sastra Ramdan
Published: July 2023

Tanaman bawang merah merupakan salah satu tanaman penting dalam industri pertanian. Penyakit pada tanaman bawang merah dapat mengakibatkan kerugian yang signifikan bagi petani dan produsen. Penelitian ini bertujuan untuk mengklasifikasikan penyakit bawang merah pada daun bawang merah yang disebabkan oleh bercak ungu dan moler. Pengumpulan data citra bawang merah dilakukan secara langsung yang dilanjutkan dengan tahap pre-processing sebelum pengklasifikasian penyakit pada tanaman bawang merah. Algoritma Naive Bayes dan CNN dengan ekstraksi fitur GLCM digunakan dalam penelitian ini untuk melakukan perbandingan klasifikasi antara dua metode tersebut dalam mengklasifikasikan penyakit tanaman bawang merah yaitu bercak ungu dan moler. Hasil  pengujian dengan menggunakan citra sebanyak 160 penyakit moler dan 160 penyakit bercak ungu menunjukkan bahwa kedua algoritma klasifikasi Naive Bayes dan CNN dengan ekstraksi fitur GLCM mampu mengklasifikasikan penyakit moler dan penyakit bercak ungu pada daun bawang merah dengan akurasi yang baik sebesar 100%.  
Onion plants are one of the important crops in the agricultural industry. Diseases in onion plants can result in significant losses for farmers and producers. This research aims to classify onion diseases on onion leaves caused by priole blotch and molāris. The of onion image data colaction was performed directly, followed by a pre-processing stage before classifying diseases in onion plants. The Naive Bayes algorithm and CNN with GLCM feature extraction are used in this study to compare the classification between the two methods in classifying onion diseases. The test results using a total of 160 priole blotch and 160 molāris diseases show that both the Naive Bayes and CNN classification algorithms with GLCM feature extraction are capable of classifying priole blotch and molāris diseases on onion leaves with a perfect accuracy of 100%.
Sentiment Analysis of Tweets About Allowing Outdoor Mask Wear Using Naïve Bayes and TextBlob
Authors: Ilham Firman Ashari  , A Fadhillah , M. Daffa  , Sekar A
Published: July 2023

Covid-19, a virus that attacks the respiratory tract and has a fairly high mortality rate, has spread throughout the country. On March 11, 2020, WHO declared Covid-19 a global pandemic. The government is trying various efforts to reduce the number of sufferers of this virus. Starting from the implementation of the lockdown, PPKM, to making Government Regulations related to the use of masks and so on for personal protection. In June 2021, there was a spike in Covid-19 cases in Indonesia and Covid-19 patients increased drastically. Conditions at that time were very chaotic, and left trauma for some people. On May 17, 2022, the government made concessions in the use of masks in open spaces while maintaining social distance. Even though masks play an important role in preventing the spread of the virus. With this, a research related to "Analysis of Sentiment on Tweets regarding Allowance for the Use of Masks in Outdoors using Naive Bayes was carried out" to find out public opinion. The research was conducted using Text Mining through Twitter sentiment and Naive Bayes for classification. Based on research, the majority of twitter users give a neutral response. This is indicated by the number of neutral sentiments of 75.76% or about 757 tweets. The data used in this study, namely 1000 Indonesian tweets with the keyword 'jokowi mask'. Testing data of 20% resulted in a more accurate model, which resulted in an accuracy of about 85%, while the model using testing data of 30% only produced an accuracy of about 83%.
Influence of Tutorial-Based Learning Model on Information and Communication Technology (ICT) Subjects at Junior High School Painan
Authors: Helmiza  , Ganefri  , Ambiyar  , Irfan Dedy
Published: July 2023

This study aims to determine the effect of learning outcomes using a tutorial-based learning model in Information and Communication Technology (ICT) subjects at Junior High School 02 Painan. This study uses a quasi-experimental research method. The population in this study were students of class VIII Junior High School 02 Painan. The sample in this study used a random sampling technique with students in class VIII A as the experimental class and VIII B as the control class with 30 students in class A and 25 students in class B. The research instrument used was objective questions which were tested for validity, reliability, discriminatory power, and level of difficulty. Data were analyzed with parametric statistics including normality test, homogeneity test and hypothesis testing. As well as to test the activity and response of the research instrument used was a questionnaire which was validated by three lecturers who are experts in learning evaluation and the results of effectiveness were analyzed based on classical completeness and based on the Gain Score.
The results of this study revealed that student learning outcomes using the tutorial-based learning model with an average score of the experimental class was 78.933 better than ordinary learning with an average score of the control class was 69.76 in the final test analysis where the tcount was 9.484 and ttable is 1.68 with a significance level of 95% so that tcount > ttable and the research hypothesis is accepted. As well as seen from the activeness and response of students, the average result of activity is 80.9% with a very good classification and for the average student response result is 87.4% with a very good classification result. The effectiveness of learning using a tutorial-based learning model in the effectiveness trial, obtained 87% of students scored ≥ 70 which stated classically effectiveness and for the control class obtained 43.33% of students scored < 70 which stated that it was not classically effective. And in terms of Gain Score gets a value of 37.31% (medium). Thus it can be concluded that there is an influence of the tutorial-based learning model on Information and Communication Technology (ICT) learning on student learning outcomes.
Pengembangan Media Pembelajaran Berbasis Multimedia Interaktif pada Mata Pelajaran Pemeliharaan Sistem Kelistrikan di Sekolah Menengah Kejuruan
Authors: Nofiandri Ernal , Maksum Hasan , Purwanto Wawan , Wulansari Rizky Ema , Muhibbudin
Published: July 2023

Pada era revolusi 4.0 dengan sangat canggihnya perkembangan teknologi harus dapat dimanfaatkan untuk sebuah kemajuan yang terutama dalam bidang pendidikan. Dari kemudahan yang diberikan oleh perkembangan TIK pendidik harus mampu melihat peluang untuk dapat memanfaatkan Perkembangan TIK untuk memudahkan siswa dalam proses pembelajaran agar dapat meningkatkan keaktifan dan motivasi belajar siswa agar siswa lebih tertarik untuk belajar sehingga meningkatkan hasil belajar dan prestasi belajar siswa terutama pada Sekolah Menengah Kejuruan yang banyak pembelajaran produktif.  
Berdasarkan hasil observasi dan wawancara diketahui bahwa pembelajaran proses pembelajaran Pemeliharaan Sistem Kelistrikan Kendaraan Ringan bagi sebagian siswa sulit memahami pembelajaran, media pembelajaran yang monoton dan kurangnyas sumber belajar yang interaktif yang membuat  rendahnya minat dan motivasi belajar menjadikan hasil belajar siswa rendah sehingga diperlukanya media pembelajaran interaktif yang menyenangkan yang membantu dalam proses pembelajaran.
Penelitian ini bertujuan untuk mengembangkan media pembelajaran berbasis multimedia interaktif pada pembelajaran Pemeliharaan Sistem Kelistrikan yang layak dan memenuhi standar aspek validitas pada media dan materi. Metode penelitian yang digunakan adalah pengembangan (R&D) model 4-D, meliputi tahap Define, Design, Develop dan Disseminate, namun tahap pada penelitian ini tahapan Disseminate tidak dilakukan karena hanya melihat validitas dari media pembelajaran multimedia interaktif. Hasil penelitian menunjukkan kevalidan dalam validasi media pembelajaran dengan Validator 1 sebesar 92% dan Validator 2 sebesar 95% dengan rata-rata sebesar 94% kategori sangat valid. Pada validasi materi didapatkan hasil pada Validator 1 82 % dan Validator 2 95% dengan rata-rata 88% kategori sangat valid. Berdasarkan hasil total dari penilaian validitas media dan materi sebesar 91 % yang dimana termasuk dalam kategori Valid atau sangat layak digunakan oleh siswa dalam proses pembelajaran Pemeliharaan Sistem Kelistrikan Kendaraan Ringan.
الاستشفاء بالماء البارد وأثره في الطاقة المصروفة وبعض المؤشرات الفسيولوجية للاعبي كرة قدم الصالات
Authors: Asst. Lect.  Ali Salam Kazem Al-Awsi  , Prof. Dr. Falah Hassan Abdullah Al-Khafaji
Published: July 2023

هدفت الدراسة في التعرف على اثر الاستشفاء الإيجابي بالماء البارد في تراكيز أوكسيد النتريك والطاقة للاعبي كرة القدم الصالات. وكانت المتغيرات المدروسة هي (RQ وHR   وRf  و VEو VT وVO2/Kg  وVCO2 وvO2HR وVE/VO2وVE/VCO2 وMET وVO2MAX) اما بالنسبة لمجتمع وعينة البحث  فقد حدد الباحثان مجتمع البحث وهم لاعبوا الدرجة الأولى لكرة قدم الصالات في محافظة الديوانية وهم نادي السنية ونادي الاتفاق اذ تم اختيار عينة البحث بالطريقة العمدية بواقع 10 لاعبين ذو المستوى البدني الجيد كون الاختبارات تحتاج وقت جدا كبير وتم استبعاد حراس المرمى لانهم يمثلون مجتمع مختلف من حيث الجهد المبذول وقد تم اجراء التجربة الرئيسية على أربعة مراحل حيث بعد أداء جهد عتبة التهوية الرئوية تكون المرحلة الاولى سحب الدم بعدها المرحلة الثانية الاستشفاء بالماء البارد ومن ثم المرحلة الخامسة  الدخول في جهاز الاستشفاء دون ماء ولمدة)  12) اسبوع وكانت اهم الاستنتاجات تبين النتائج في افضلية استخدام الماء البارد عن بقية الأساليب في سرعة الاستشفاء والعودة الى وضع الطبيعي  ويؤثر الماء البارد على الأجهزة الوظيفية و المؤشرات الفسيولوجية في الجسم وبشكل ايجابي وبنسبة عالية  وذلك ما اشارت اليه النتائج حيث كانت زمن سرعة الاستشفاء اقل أي افضل و يوثر إيجابا على عملية انتاج الطاقة بسرعة وكمية الطاقة المصروفة من خلال ما يوفره  من سرعة في إيصال الغذاء الى العضلات بسبب دوره في تقليص الاوعية الدموية للتخلص من مخلفات الطاقة لغرض التنظيم والعودة للوضع الطبيعي.