bluuebunny/crossref_metadata_2025 huggingface dataset:
Test sur le terrain de la version préliminaire de l’instrument de littératie en santé numérique (Lisane) pour l’adulte vivant avec une maladie chronique
Authors: Délétroz Carole , Bienvenu Christine , Kaufmann Anne-Laure , Sasseville Maxime , Amil Samira , Rouquette Alexandra , Bodenmann Patrick , Gagnon Marie-Pierre
Published: November 2024

Introduction : L’utilisation des dispositifs numériques en santé améliorerait certains résultats cliniques. Proposer des interventions « en ligne » efficaces visant l’amélioration du processus d’adaptation des patients vivant avec une maladie chronique nécessite de disposer d’une mesure validée de la littératie en santé numérique. La mesure autorapportée « Lisane » a été construite et validée par des experts.
Objectifs : Décrire le test sur le terrain de la version préliminaire de l’outil, plus spécifiquement le taux de non-réponse, les effets plafond et plancher, la redondance d’items et l’évaluation préliminaire de sa cohérence interne.
Méthode : L’outil Lisane, composé de 14 items divisés en 5 domaines (e-littératie, fiabilité de l’information sur Internet, pertinence de l’information pour la santé personnelle, protection de la vie privée, pouvoir d’agir), a été appliqué auprès d’un échantillon de convenance (29 participants) recruté au Québec (communautés de patients) et en Suisse (milieu clinique). Le taux de non-réponse, les effets plafond et plancher ont été évalués. La redondance d’items a été décrite à titre exploratoire. La cohérence interne a été évaluée par le coefficient alpha de Cronbach.
Résultats : Le taux de résultats manquants > 15% et une redondance (r = 0,94, p<0,05) des items du pouvoir d’agir ont été relevés. Un effet plancher a été identifié. L’alpha de Cronbach était de : α= 0,90, IC 95% [0.78 – 1.03].
Discussion et conclusion : Le test sur le terrain indique des limites dans l’outil comme un effet plancher et l’indication de redondance de certains items, mais une bonne évidence préliminaire de cohérence interne. La continuité d’analyse de ses propriétés psychométriques (validité, fidélité) s’avère nécessaire.
Analisis Soal Cerita pada Buku Matematika Siswa Kelas VII Jenjang SMP Kurikulum 2013 Berdasarkan Taksonomi Bloom
Authors: Eka Anggriana W  , Abdul Karim  , Eva Yuni Rahmawati
Published: November 2024

The purpose of this study is to: find out the level of story questions in the Mathematics Student Book Grade VII Junior High School Level Curriculum 2013 Based on Bloom's Taxonomy. The place in this study is SMP Negeri 4 Parungpanjang, Bogor Regency, for the 2019-2020 school year. This research method uses a qualitative or descriptive method because it is carried out under natural conditions. The object of this research is a class VII student math book Revised Edition 2017 by Abdul Rahman As'ari, et al. The data collection method is carried out by means of documentation. The data analysis technique refers to the Bloom revised table of cognitive domains of Anderson and Krathwohl. The implementation of data validity uses 4 criteria, namely: (1) Degree of credibility, (2) Transferability, (3) Dependability, and (4) Certainty (confirmability). The results of the study show that those who contain the C1 category level 0%, those that contain the C2 category 4%, those that contain the C3 category 43%, those that contain the C4 category 24%, which contains the C5 category 16%, and which contains the C6 category 13%. The four dimensions of the cognitive process in question are the cognitive process "Understanding" / C-2, the cognitive process "Applying" / C-3, the cognitive process "Analyze" / C-4, the cognitive process "Evaluating" / C-5, and the cognitive process "Creating" / C-6. The suggestion for other researchers is to set the time when the research, because this research takes a long time. And it is also expected to choose a teacher who really understands Bloom's Taxonomy, and it is recommended to choose the right teacher because many teachers are busy (do not have free time)
Pengembangan Soal Matematika Model AKM Menggunakan Konteks Budaya Yogyakarta untuk Mengetahui Profil Literasi Matematika Siswa Sekolah Menengah Atas
Authors: Ahmad Heri Purwanto  , Jailani Jailani
Published: November 2024

The purpose of this study was to develop AKM model mathematics questions using the Yogyakarta cultural context to determine the profile of mathematical literacy of high school students. This type of research is a design research type of development study using an emphasis on repeated cycle development using formative evaluation. This study developed a set of AKM model mathematics questions, with preliminary and prototyping stages. The subjects of the study were class X students of MAN 2 Wonosobo and were determined by partner teachers. Data analysis techniques used document analysis, walk through analysis, and test result analysis. The results of the study showed that: 1) a set of AKM model mathematics questions using the Yogyakarta cultural context that were compiled had met the valid criteria using the Formative Evaluation flow. 2) the results of the study of the profile of mathematical literacy of students in the field test subjects revealed that there were many students who had not completed, especially in the employ category where only 15% (6 out of 40 students) had completed it, namely on question number 8. Likewise in the formulate and interprete categories, both of which were no more than 17.5% of students who managed to get the maximum score. Likewise, in the content category, it can be seen that no more than 15% (6 out of 40 students) were able to obtain the maximum score on question number 8. Meanwhile, in the algebra domain, at least 32.5% (13 out of 40 students) managed to obtain the maximum score, namely on questions 23, 24 and 25. The same thing in the data domain can be seen to be higher than the number domain and geometry domain, although the percentage is quite low, namely 27.5% (11 out of 40 students) who obtained the maximum score.
Potensi Senyawa Metabolit Sekunder pada Tanaman Obat Sijukkot (Lactuca Indica L.) untuk Penanganan Penyakit Demam dengan Metode Molecular Docking
Authors: Sri Nanda  , Ardi Mustakim
Published: November 2024

Sijukkot plants grow widely in the highlands of Lake Toba, the largest volcanic lake in the world. This plant, with the Latin name Lactuca indica L., grows abundantly in Dairi, Pakpak Bharat, Samosir and Humbang Hasundutan districts. Sijukkot has been proven to have made people in the Lake Toba area less susceptible to disease. Sijukkot contains many high chemical compounds in the roots, stems and leaves. For example glycosides, cardeolin, polyphenols, saponins, cardenolin, polyphenols, flavonoids and tannins. ( Molecular Docking ) is one of the simplest and most frequently used structure-activity based virtual methods. The purpose of this journal review is to determine the secondary metabolite compounds contained in the medicinal plant sijukkot to be developed as a fever reducer The research method used is a library study and literature review with the keywords molecular docking of secondary metabolite compounds of sijukkot as a medicinal plant to reduce fever, in the period 2020-2022. The results obtained were 5 secondary metabolite compounds which have potential as fever reducers and antioxidants. The conclusion is that ethanol extract and sijukkot leaves have high levels of phytochemicals which are good as formulations for fever medicine, antioxidant, antibacterial and can reduce sugar levels
Analisa Pemahaman Konsep Matematika Siswa pada Materi Trigonometri Kelas X SMK Asisi
Authors: Margaretha Silvia  , Indra Martha Rusmana  , Endang Suhendar
Published: November 2024

This study aims to describe the understanding of mathematical concepts of X grade students of SMK ASISI on Trigonometry material. The type of research is descriptive qualitative research. the subjects are 3 students of class X AKL SMK ASISI who have high, medium and low categories, these students were selected on the basis of the results of daily test scores. This study refers to 5 indicators of understanding of mathematical concepts and the instruments in this study are written tests and interviews. Based on the results of the analysis, it can be concluded that students' understanding of mathematical concepts in trigonometry material is still relatively low and students have not met the indicators of understanding mathematical concepts from the results obtained from 12 students, there are 1 student who gets high scores, 7 students get medium scores, and 4 students get low scores.
Implementasi Model Pembelajaran Matematika Kooperatif Tipe Teams Games Tournament (TGT) Berbantuan Wordwall untuk Meningkatkan Hasil Belajar Peserta Didik di SMA Negeri 9 Surabaya
Authors: Aulia Yusrika Qurrotu’ain  , Anik Kirana  , Fitria Indahwati
Published: November 2024

This study was conducted by looking at the low learning outcomes of class X-2 students at SMA Negeri 9 Surabaya in the previous material, namely SPLTV. This study was conducted with the aim of improving students' mathematics learning outcomes in the quadratic equation material by implementing a cooperative learning model of the team games tournament (TGT) type using the help of wordwall. This study is included in classroom action research which is carried out in two cycles. The subjects of the study used were 36 class X-2 students at SMA Negeri 9 Surabaya. The research data were obtained through pretest, observation, and posttest. The analysis data from the pretest and posttest results were in the form of quantitative data which would be used to determine the increase in student learning outcomes. While the analysis data from the observation results in the form of qualitative data were used as a guideline to improve and perfect learning activities from cycle I to cycle II. Based on the results of the study that has been carried out, it shows that implementing a cooperative learning model of the team games tournament (TGT) type using the help of wordwall on the quadratic equation material can improve the learning outcomes of class X-2 students at SMA Negeri 9 Surabaya. The classical completeness of the pretest cycle I was 44.4%. After the implementation of the TGT type cooperative learning model, there was an increase to 77.8% in the posttest of cycle I. In cycle II, it increased again to 94.6% with a classical completion target of 85%.
Implementasi Model Pembelajaran Problem Based Learning untuk Meningkatkan Hasil Belajar Matematika pada Materi Statistika di Kelas X-5 SMA Negeri 9 Surabaya
Authors: Diyah Ayu Safitri  , Anik Kirana  , Fitria Indahwati
Published: November 2024

This study began with the problem of low Mathematics learning outcomes of class X-5 students of SMA Negeri 9 Surabaya, which were below the Minimum Completion Criteria (KKM) of 75. This study aims to improve the Mathematics learning outcomes of class X-5 students of SMA Negeri 9 Surabaya. This study is a classroom action research (PTK) conducted in two cycles in the 2023/2024 academic year with 37 students. The data collection method in this study used observation techniques. The instruments used were pretest and posttest questions. The results of the analysis showed that the application of the problem based learning (PBL) learning model succeeded in improving students' Mathematics learning outcomes in statistics material. Student learning outcomes increased from the pre-cycle to cycle I and to cycle II. Before the action, only 10 students achieved KKM with a classical completion percentage of 27.02%. In cycle I, the number of students achieving KKM increased to 26 with a classical completion percentage of 70.27%. In cycle II, the number of students achieving KKM increased again to 31 with a classical completion percentage of 88.57%.
Penerapan Model Pembelajaran Problem Based Learning (PBL) Berbantuan Media Wordwall pada Materi Peluang untuk Meningkatkan Hasil Belajar Peserta Didik SMA Negeri 9 Surabaya
Authors: Nur Aini Ayu’ Fistanti  , Anik Kirana  , Fitria Indahwati
Published: November 2024

Learning outcomes are a series of skills, knowledge, attitudes and values ​​obtained by students in their thinking process during learning activities. This research aims to improve the learning outcomes of class X-4 students on opportunity material by applying the problem based learning model assisted by wordwall media. To see an increase in learning outcomes, classroom action research was carried out for two cycles using the method of observation and analysis of test results with research instruments in the form of pretest posttest questions in the 2023/2024 academic year. The subjects of this classroom action research were 34 students from class X-4 at SMA Negeri 9 Surabaya. The research results showed a consistent increase in learning outcomes over two cycles in the opportunity material. Before the action was taken there were 18 students who had not reached the KKM and only 16 students had completed it so the percentage of completion was 47.05% with an average learning outcome of 67.76. In the first cycle, the number of students who completed their learning outcomes reaching the KKM increased to 28 with a completion percentage of 82.35% and an average learning outcome of 78.23. In cycle II, the number of students whose learning outcomes achieved the KKM consistently increased so that there were 31 with a completion percentage of 91.17% and an average learning outcome of 89.54.
Learning Obstacle pada Materi Bilangan Berpangkat pada Siswa Kelas V SD Negeri 3 Air Kumbang
Authors: Trianawati Trianawati  , Nyiayu Fahriza Fuadiah  , Nora Surmilasari
Published: November 2024

This research was carried out with the aim of finding out the learning obstacles experienced by students, especially class V students at SD Negeri 3 Air Kumbang, using rank number material. Learning Obstacles are divided into three types, namely ontogenic obstacles, epistemological obstacles, and didactical obstacles. The research method used is a descriptive qualitative method using several instruments including the results of learning obstacle diagnostic tests, material analysis, interviews, lesson plan analysis, and analysis of textbooks used during the learning process. 20 fifth grade students at SD Negeri 3 Air Kumbang were the subjects of this research. In this research, learning obstacles were found which were divided into three categories, namely ontogenic obstacles, epistemological obstacles and didactical obstacles. Ontogenic obstacles can be seen from students' lack of enthusiasm for learning and readiness to learn. Epistemological obstacles can be seen from students' lack of understanding of a concept related to mathematics due to the limited context that students know, as well as didactical obstacles obtained from the learning tools used which can create learning obstacles during the learning process.
Analisis Hambatan Belajar (Learning Obstacle) pada Materi Statistika Siswa Kelas VI SDN 6 Palembang
Authors: Zalika Melati  , Nyiayu Fahriza Fuadiah  , Nora Surmilasari
Published: November 2024

In class VI.A students, there are still many students having difficulty in doing statistics problems. Therefore, this research needs to be done in order to find out the learning obstacles experienced by grade VI students of SDN 6 Palembang on statistics material. Learning obstacle is divided into three types, namely ontogenic obstacle, didactial obstacle, and epistemological obstacle. The research method used in this study is a descriptive qualitative method. The instruments used in this study consisted of learning obstacle diagnostic tests, interviews, material analysis, lesson plan analysis, and textbook analysis and students of grade VI.A SDN 6 Palembang as the subjects in this study who were respondents who carried out learning obstacle diagnostic tests and interviews. Learning obstacles can be found based on the results of the analysis of learning obstacle diagnostic tests, interviews with homeroom teachers and students of class VI.A, lesson plan analysis and textbook analysis. The results of this study found learning obstacles, namely ontogenic obstacles such as lack of interest in learning mathematics and lack of student activeness in learning, didactical obstacles such as learning resources that are still limited and epistemological obstacles, namely lack of understanding of statistical concepts.
Pembelajaran Matematika Materi Pecahan di SDN Nglegok 1 Blitar dengan Menggunakan Media Game Pecahan (MAGECAH)
Authors: Haikal Cahaya  , Ida Putriani  , Ida Putri Rarasati
Published: November 2024

This research evaluates the effectiveness of using game-based learning media, MAGECAH, in teaching Mathematics on the topic of fractions in the 4th grade at SDN Nglegok 1 Blitar. The method used is a quasi-experiment with a nonequivalent control group design. The sample consists of 52 students, divided into experimental and control groups. Research instruments include tests, questionnaires, observations, and documentation. The analysis results show that the MAGECAH media significantly improves students' understanding, with a t-test significance value of 0.000. This media is also considered effective in making learning more interactive and engaging. Thus, MAGECAH can become an innovative alternative in Mathematics learning, particularly in the topic of fractions, to improve students' learning outcomes.
Implementasi Metode Numerik dan Simbolik dengan Python untuk Penentuan Nilai Limit Fungsi
Authors: Anita Talia  , Angelica Angelica  , Agatha Anggraini Tumanggor  , Febryanti Hasibuan  , Roberto Karlos Sinaga  , Ocha Hosea Sigalingging
Published: November 2024

This study analyzes the utilization of Python as a tool for calculating function limits, with an emphasis on the application of the SymPy and NumPy libraries. The flexibility of Python allows researchers to perform mathematical calculations efficiently, employing both the symbolic approach provided by SymPy and the numerical methods offered by NumPy. SymPy facilitates the management of complex mathematical expressions and produces accurate symbolic results, while NumPy provides speed and efficiency in executing numerical computations. With active community support and regular updates to the libraries, Python proves to be a robust and flexible environment for research in the field of mathematics. Findings from this study indicate that the combination of these two libraries not only enhances the accuracy of limit calculations but also accelerates the research process, making it a relevant choice in both academic and practical contexts..
Responsi Siswa Terhadap e-modul Biologi Terintegrasi Nilai – Nilai IMTAQ pada Materi Invertebrata
Authors: Dinda Putri Afifah  , Siti Robiah
Published: November 2024

This research aims to determine students' responses to the biology e-module integrated with IMTAQ values ​​in the Invertebrate material that was developed. This research is R&D research that uses the modified ADDIE (Analyze, Design, Development, Implementation, Evaluation) model. This research is limited to the Development stage. The sample was determined using purposive sampling technique, and the sample size was 65 students from three schools, namely SMAN 1 Pekanbaru, SMAN 5 Pekanbaru and SMAS PGRI Pekanbaru. Data collection uses student response sheets and analysis uses descriptive techniques. The research results obtained an average of 85.87% from the three schools and were included in the "Very Good" category.
Implementasi Payment Gateway Dan Whatsapp Gateway Pada Sistem Informasi Manajemen Anggota Pengembang Indonesia Berbasis Web Menggunakan Framework Laravel
Authors: Agung Kusaeri  , Irsan Jaelani  , Minarto Minarto
Published: November 2024

Organisasi Pengembang Indonesia berfokus pada penyediaan perumahan bagi masyarakat berpenghasilan rendah (MBR). Namun, pengelolaan data menggunakan Ms. Excel menyebabkan berbagai kendala, termasuk dalam mengelola data anggota, perumahan, produk tagihan, dan laporan periodik. Proses pembayaran manual yang sering terlambat juga mempengaruhi operasional dan reputasi organisasi. Untuk mengatasi masalah ini, diusulkan sistem informasi berbasis Web dengan Framework Laravel. Objek penelitian ini adalah pengembangan sistem tersebut dengan tujuan untuk meningkatkan efisiensi pengelolaan data, keamanan transaksi, dan komunikasi dalam organisasi. Pengembangan sistem informasi ini menggunakan metode Agile dengan pendekatan Scrum. Pendekatan ini dipilih karena memungkinkan iterasi cepat dan umpan balik berkelanjutan dari pengguna. Sistem yang dikembangkan terintegrasi dengan Midtrans sebagai Payment Gateway untuk memfasilitasi pembayaran yang aman dan efisien, serta Wablas sebagai Whatsapp Gateway untuk notifikasi otomatis. Pengujian sistem dilakukan menggunakan metode Black Box, di mana setiap fitur diuji berdasarkan fungsionalitasnya tanpa melihat ke dalam struktur kode.
Hasil implementasi menunjukkan bahwa sistem informasi berbasis Web ini memungkinkan admin mengelola data anggota, perumahan, produk, dan tagihan dengan lebih efektif. Fitur-fitur yang disediakan meliputi login, master data, transaksi, pendaftaran anggota, perpanjangan keanggotaan, perumahan, produk, dan laporan. Semua fitur telah diuji menggunakan pengujian Black Box dan berfungsi dengan baik. Dengan adanya sistem ini, diharapkan dapat meningkatkan efisiensi pengelolaan data, keamanan transaksi, dan komunikasi, serta mengatasi kendala yang ada dalam proses pengelolaan data dan pembayaran di Organisasi Pengembang Indonesia.
Proses Pembentukan Identitas Islam Siswa Madrasah Ibtidaiyah dalam Konteks Pembelajaran: Studi Grounded Theory
Authors: Khairullah Khairullah
Published: November 2024

Islamic identity is a crucial component in the education provided by Madrasah Ibtidaiyah, serving as a foundation for the formation of character and religious values among students. However, understanding of how students' Islamic identity is formed within the context of learning at madrasah is still limited. This study aims to develop a theory on the process of Islamic identity formation among students using a grounded theory approach.  This research employs grounded theory methodology to explore and understand the dynamics of Islamic identity formation among Madrasah Ibtidaiyah students. Data were collected through in-depth interviews with students, teachers, and parents, as well as classroom observations and curriculum document analysis. The data analysis process was conducted iteratively to identify main categories and emerging themes, and to build a comprehensive theory on the identity formation process.   The study found that the process of Islamic identity formation among Madrasah Ibtidaiyah students is influenced by a complex interaction between internal and external factors. Internal factors include personal religious understanding and learning experiences, while external factors encompass the influence of the school environment, curriculum, and family support. The findings indicate that students' Islamic identity is shaped through integrated learning experiences, social interactions, and deep personal reflection.  This research develops a theory that describes how Islamic identity among Madrasah Ibtidaiyah students is formed within the learning context. The findings provide important insights for curriculum development and teaching strategies aimed at supporting the formation of students' Islamic identity. The implications of this study also highlight the need for stronger support from families and the school environment to facilitate a positive identity formation process.
Penerapan Metode K-Means Clustering untuk Pengelompokan Minat Konsumen terhadap Pengguna Jasa Layanan pada Kantor Pos Binjai
Authors: Andrean Samuel Siahaan  , Rusmin Saragih  , Magdalena Simanjuntak
Published: November 2024

This research aims to apply the K-Means Clustering method in grouping consumer interests regarding the use of services at the Binjai Post Office. The Post Office is part of a state-owned enterprise in North Sumatra Province with the main task of providing postal and logistics services. Postal services remain one of the most important means of communication, especially for sending packages, letters, and documents. However, with various services and diverse consumer needs, post offices can provide more effective and relevant services. The K-Means Clustering method is a classification technique based on machine learning algorithms used to identify patterns present in consumer interest data. The data used in this research includes various related variables, namely the type of delivery, total cost, and delivery time. The results of the clustering process conducted using 3 clusters indicate that there is a grouping of consumer data based on preferences for using delivery services. In group 1, there are (21 data points) with a centroid at coordinates (C1) 2; 4.3810; 3.5238. In group 2, there are (124 data points) with a centroid at coordinates (C2) 3; 2.0565; 3.1452. In group 3, there are (387 data points) with a centroid at coordinates (C3) 3.6925; 1.1370; 1.7209. This research shows that the application of K-Means Clustering can enhance the understanding of consumer interests and assist in the development of more targeted strategies to optimally meet needs.
Pengaruh Metode Pembelajaran Cooperative Script Terintegrasi Al-Qur’an pada Konsep Sistem Reproduksi terhadap Hasil Belajar Siswa Kelas XI SMAS Al-Washliyah 3 Medan
Authors: Hastina Rusda  , Ira Suryani  , Efrida Pima Sari Tambunan
Published: November 2024

This study aims to determine the differences in student learning achievement between the control class and the experimental class, and to determine the effect of the Integrated Cooperative Script Al-Quran Learning Method on the Concept of the Reproductive System on the Learning Outcomes of Class XI Students of SMAS Al-Washliyah 3 Medan. The method used is an experiment whose implementation uses a quasi-experiment type with a nonequivalent control group design. The study population consisted of 48 students, namely class XI IPA-1 totaling 26 students and class XI IPA-2 totaling 22 students. Less than ideal results were observed for learning outcomes in the control class when the Cooperative Script Learning Method was not integrated with the Qur'an. An average of 78.6 describes the learning objectives. The Cooperative Script Learning Method Integrated with the Qur'an resulted in an increase in learning outcomes in the experimental class. The average (85.7), mode (87) and median (87), maximum value (97), and lowest value (75) all indicate learning outcomes. At a 5% error rate, the calculation of the independent sample t-test revealed that t table < t count (3.07 > 2.01). The experimental class had a higher percentage increase from pretest to posttest (85.15%) compared to the control class (77.98%). Therefore, the implementation of the Cooperative Script learning approach effectively contributed 55% of the total. Thus, it can be said that the learning outcomes of the experimental class that utilized the Integrated Cooperative Script Al-Quran Learning Method and the learning outcomes of the control class that used the Non-Integrated Cooperative Script Al-Quran Learning Method were significantly different.
Penerapan Algoritma K-Means Clustering Data Penduduk Miskin Berdasarkan Desa di Kecamatan Tana Righu
Authors: Arinto Umbu Dasa  , Gergorius Kopong Pati  , Emirensiana Dappa Ege
Published: November 2024

Expert systems are one type of computer technology that is being used by a used in the medical field to assist physicians in patient examinations is expert systems.The goal of this is to improve patient care both now and in the future.system with expertise  is an application that replicates how an expert would reason to solve a particular problem or acts similarly to an expert due to its understanding of a knowledge base that has to be processed and its ability to solve problems. An expert system's diagnosis of epilepsy leads to the creation of a system that can offer individuals with the condition a consultation service for the purpose of diagnosing the condition and providing information on treatment options. This is demonstrated by the development of numerous technologies that facilitate the work of numerous parties. One of them is computer-related and uses Expert System Science to assist in the diagnosis of epilepsy. The Certainty Factor approach is employed in this study. Thirteen symptoms and three different forms of epilepsy—general, partial, and secondary—were used in this investigation. The study's findings indicate that, based on the chosen symptoms, the most accurate diagnosis is Partial Primary, Partial Secondary, with a confidence level of 74%, and the most accurate diagnosis is Generalized Epilepsy, with a confidence level of 99%.
Sistem Informasi Administrasi di Dinas Kependudukan dan Pencatatan Sipil Kabupaten Sumba Barat Daya
Authors: Alfons Umbu Awang  , Adelbertus Umbu Jangga  , Alexander Talo Popo
Published: November 2024

The increasing population growth with uneven distribution and low population quality has become a problem related to population in Indonesia such as poverty, unemployment, economy, health and so on. Responding to population problems, state administrators are required to work harder starting from the central government to the related government level by collecting and ensuring the availability of accurate and complete population data as needed in order to fulfill population information. an approach that aims to describe the phenomena that occur in relation to the scope of the study. The data sources used in this study are data on people, places and paper and information retrieval through observation, interviews and documentation. The results of the study show that the implementation of SIAK carried out by the Population and Civil Registration Service of Southwest Sumba Regency is in accordance with applicable rules and policies, but in its implementation it still faces several problems. one of which is the lack of human resources and the lack of supporting facilities and infrastructure.
Implementasi Metode Fuzzy untuk Klasifikasi Tingkat Kesejahteraan Keluarga di Kecamatan Loura
Authors: Yunita Ngongo  , Andreas Ariyanto Rangga  , Alexander Adis
Published: November 2024

Achieving financial stability for the family is a goal that everyone has. The family is the most significant foundation for the growth of human life in Indonesia. The first and most important living environment where the personality that shapes a person's life is created is the family. The development of moral values, social justice, humanity, and religion is essentially a process decided by the family. The family is the first and main social structure that plays an important role in providing life values ​​to children who are growing and developing so that they can find purpose in their life journey. The classification of family welfare according to population data owned by the village government is the aim of this study. Based on the results of the study, fuzzy logic and the Tahani model can be used to process population data according to the level of family welfare, resulting in output in the form of family classifications such as prosperous, poor, and underprivileged families. To assess the effectiveness of incorporating fuzzy logic into the program being developed, the fuzzyTECH application is also used to test the program subdistrict.
The Effect of the Discovery Learning Model on Student Biology Learning Outcomes on Human Digestive System Materials Class XI SMA Negeri 2 Tondano
Authors: Etin Ruban  , Helen J. Lawalata  , Zusje W. M. Warouw
Published: November 2024

This study aims to determine the influence of the Discovery Learning learning model on the cognitive learning outcomes of students' biology on the material of the human digestive system in class XI of SMA Negeri 2 Tondano. With this research method, it is quasi-experiment research. The result is a significance value (2-tailed) < 0.05, then H0 is rejected and H1 is accepted. In the results of the "t" test, a significant number (2-tailed) 0.000 < 0.05 is obtained, then H0 is rejected and H1 is accepted, meaning that there is an influence of the discovery learning model on the learning outcomes of Biology. Then it is seen from the average learning outcomes after being given treatment. Based on the results of the analysis, it shows that the average value of the experimental class at the time of the Pretest is 31.24 while the control class is 24.49. At the time of the posttest, the average score of the experimental class reached 86.82 while the control class was 57.27.
Menjaga Privasi Digital: Studi Tentang Kesadaran Mahasiswa dalam Perlindungan Data Pribadi di Media Sosial
Authors: Nopriadi Nopriadi
Published: November 2024

Many people utilize social media to interact, including students who are the most technologically literate. Apart from having a positive impact on its users, social media also has a negative impact. One of the negative impacts of social media is the increased risk of personal data security. The purpose of this study is to analyze the level of awareness of students in Yogyakarta regarding the protection of personal data on social media. The method used is mixed method, surveys were distributed to respondents, namely students from various schools in Yogyakarta. Researchers also conducted interviews with 15 participants to get a more in-depth picture. This research examines the level of understanding and awareness of students in Yogyakarta regarding how they understand data sharing behavior, privacy settings and their perceptions of threats or risks in cyberspace. The results showed that the majority of students have a high level of awareness regarding basic privacy measures, but they also have a poor understanding of the threats and risks associated with sharing personal data.The majority of students rarely update their privacy settings. They only use the default settings built into social media. The implication of the study is the need to integrate digital literacy programs that focus on data security and privacy into the school curriculum. The conclusion is that there is awareness among students regarding the importance of protecting personal data, but more efforts are needed to improve students' knowledge in digital privacy management. Further research is needed to assess the long-term impact of educational interventions on privacy-conscious behavior in the digital world.
How Effective Leadership Mediates the Influence of Organizational Culture, Governance, and Integrity on Employee Performance
Authors: M. M Kusnadi , Hidayah Isti , Pramono Suwito Eko , Sutopo Yeri
Published: November 2024

This research analyzes the mediating role of leadership in connecting organizational culture, governance, integrity, and public servant effectiveness. By using a stratified proportional random sampling technique, data was collected from 181 employees at KSOP offices and examined using SmartPLS 4.0 for Structural Equation Modeling (SEM-PLS). The results uncovered that while organizational culture and governance independently exhibited restricted immediate influence on staff performance, integrity and leadership demonstrated noteworthy impacts. Leadership was found to facilitate the relationship between integrity and performance, emphasizing the significance of ethical and transparent practices. This study offers theoretical and practical understandings, accentuating leadership as a pivotal lever for enhancing organizational principles, governance frameworks, and integrity, thereby bettering general worker performance. These conclusions add to developing incorporated models that synchronize leadership strategies with organizational goals to cultivate sustainable public sector performance.
ANALYSE DU MIRACLE SUD-COREEN : PERSPECTIVES D’UNE INTELLIGENCE STRATEGIQUE ET ECONOMIQUE DE DEVELOPPEMENT EXEMPLAIRE
Authors:   Assistant à l’Université Pédagogique Nationale et Chercheur Associé à l’Institut de Recherche en Géopolitique et d’Etudes Stratégiques/RDC, NGOMBA Felly LUKUNGA
Published: November 2024

Cette réflexion centrée sur le miracle sud-coréen analyse les stratégies et politiques publiques mise en place par la Corée à la sortie de la guerre. Il est renseigné que ce pays a misé sur l’éducation, la production par la transformation des produits bruts en produits finis notamment dans les nouvelles technologies et sur les exportations. Le succès de ces politiques publiques justifie la présente de la Corée du Sud dans onze premières puissances mondiales avec une balance commerciale excédentaire et un faible taux de chômage.

Mots-clés : miracle coréen, intelligence stratégique et économique, développement.
Analisis Internet Speed Test dalam Performa Akses pada Fast.com
Authors: Julianto Julianto
Published: November 2024

Fast.com is a popular speed testing tool on the internet that allows users to measure download and upload speeds quickly and accurately. The research approach used in this research is a qualitative approach, while the methods used are literature studies and experiments. The research results show that fast.com is a site used to measure internet speed, especially download speed, where the features and services are easy to understand, without advertising and without complicated settings, so it is very easy to use and the measurement results can be used to evaluate the performance of service providers. internet (ISP) and determine whether the speed provided meets the user's needs.
Implementing Blockchain Technology for Securing IoT-Based Smart Grids
Authors: Desi Mutiara Azizah  , Caca Oktavia
Published: November 2024

Smart grids incorporate IoT devices that enhance energy management, monitoring, and overall grid efficiency. However, this interconnectivity also increases vulnerability to cybersecurity threats, posing risks to critical infrastructure. This research investigates the implementation of blockchain technology to secure data transactions within IoT-based smart grids. By leveraging blockchain's decentralized, tamper-resistant characteristics, the study demonstrates improvements in data integrity and cybersecurity for smart grids, providing a potential framework for resilient and secure energy infrastructures.
Optimizing Data Transmission in Wireless Sensor Networks Using Machine Learning
Authors: Olusegun Adebayo Johnson  , Chukwuemeka Ayodele Obi
Published: November 2024

Data transmission efficiency is crucial in wireless sensor networks (WSNs), where limited battery life and signal reliability are significant concerns. This research explores various machine learning algorithms aimed at optimizing data transmission in WSNs, focusing on reducing energy consumption and enhancing network stability. Simulation results indicate marked improvements in efficiency, making WSNs more viable for long-term deployment across diverse environments.
Blockchain-Enhanced Multi-Factor Authentication for Securing IIoT
Authors: Allyson Eddy  , Bram Zoe anak Guillan  , Einstein Kent Elias  , Eldren Aniell  , Shircrayson bin Simon  , Muhammad Faisal
Published: November 2024

This paper proposes Blockchain-Enhanced Multi-Factor Authentication (BEMFA) to address the limitations of existing authentication mechanisms in the Industrial Internet of Things (IIoT). BEMFA combines multi-factor authentication (MFA) with blockchain technology to ensure robust, scalable, and tamper-resistant security tailored to IIoT environments. This method dynamically manages roles and permissions, detects malicious devices, and ensures data integrity and authenticity. Our results demonstrate that BEMFA significantly enhances security, addressing critical access control challenges and mitigating risks posed by malicious devices while maintaining data integrity.
Development of Hand Gesture Detection Application for Slap Mosquito Game Based on Image Processing
Authors: Rajhaga Jevanya Meliala  , Nur Indah Chasanah  , Jonser Steven Rajali Manik  , Anggito Rangkuti Bagas Muzaqi  , Syah Bintang  , Endang Purnama Giri  , Gema Parasti Mindara
Published: November 2024

The development of technology with digital image processing is often utilized to solve various problems in image processing, such as facial recognition, object detection, and interaction between users. In this study, we developed an interactive hand gesture-based game titled "Slap Mosquito" that utilizes image processing techniques to control the game through hand gestures. Using Rapid Application Development (RAD), Python, OpenCV, and Pygame methodologies, this game allows users to slap mosquitoes virtually in real-time through hand gesture recognition that is read by the camera and translated into in-game actions. RAD allows rapid development iterations and improvements based on user feedback, which is essential for improving system responsiveness and accuracy. This study focuses on detection precision, system responsiveness, and the impact of lighting on game performance, as measured using frames per second (FPS) and user gameplay results. The test results show that optimal lighting meets high detection accuracy, while low lighting conditions have a negative impact on accuracy and responsiveness. The results of this study provide insights for further development of gesture-based applications, especially regarding the importance of optimizing technical parameters and RAD methodology in improving user experience.
Blockchain-Based Secure Data Sharing Framework For Healthcare Information Systems
Authors: David Williams  , Jessica Taylor  , William Thompson
Published: November 2024

Health information systems face major challenges in terms of data security and integrity. This article proposes a blockchain-based framework that enables secure data sharing among various entities in a health information system. The framework ensures the confidentiality, integrity, and transparency of patient data through the use of smart contract technology and hash-based encryption. Case studies on several hospitals demonstrate improved data security without sacrificing system efficiency.
Implementation of IT Governance in the Design of Expert Systems for Improving Library User Services
Authors: Muhammad Wahyudi  , Darmeli Nasution
Published: November 2024

The integration of IT Governance and expert system design offers transformative benefits for enhancing library user services. This research employs the COBIT 5.0 framework to align IT strategies with library objectives while developing an expert system tailored for personalized recommendations. The findings indicate that the expert system significantly improves operational efficiency, service accuracy, and user satisfaction by using user profiles to recommend relevant materials and streamline the borrowing process. Testing revealed high user satisfaction levels, with 96.6% finding the system effective and 100% confirming its efficiency. Additionally, IT Governance ensures strategic integration between technological infrastructure and service quality objectives, enabling data-driven decision-making. The study also highlights challenges, such as the need for robust data management and user training, suggesting areas for future improvement. Recommendations include incorporating machine learning to enhance system intelligence, conducting regular evaluations to maintain system relevance, and testing the scalability of this approach across various types of libraries. By integrating IT Governance with an expert system, this research sets a strong foundation for modernizing library services to better meet user expectations in the digital era.
Blockchain-Based Data Integrity Management System for Decentralized Cloud Computing
Authors: Juan Pablo Azzollini  , María Elena García  , Nicolás L. Zubeldía
Published: November 2024

Cloud computing faces challenges regarding data integrity and security due to its centralized nature. This paper proposes a blockchain-based data integrity management system that decentralizes cloud data storage and ensures authenticity and traceability. By leveraging smart contracts, the proposed system validates data transactions, prevents unauthorized alterations, and provides a transparent audit trail. Experimental results reveal that the system can maintain high levels of data integrity with minimal latency and computational overhead, offering a practical solution to enhance data security in decentralized cloud environments.
Application of Edge Computing for RealTime Data Processing in Smart Cities
Authors: Agus Supriyanto  , Joko Santoso
Published: November 2024

Smart cities generate vast amounts of data requiring rapid processing to improve urban management. This study investigates the application of edge computing to achieve realtime data processing in smart cities, minimizing latency and enhancing system responsiveness. Through a combination of theoretical analysis and case studies, the paper examines how edge computing can reduce data transmission delays and network congestion. The results reveal that implementing edge computing can significantly improve data efficiency in smart cities, offering a sustainable solution to meet growing urban demands.
An Enhanced Machine Learning Model for Real-Time Anomaly Detection in Cyber-Physical Systems
Authors: Karen Robinson  , Nancy Allen  , Christopher Young
Published: November 2024

As cyber-physical systems (CPS) gain prevalence in sectors such as manufacturing, transportation, and critical infrastructure, ensuring their security and reliability is paramount. Traditional anomaly detection methods often fall short due to the dynamic and complex nature of CPS, leading to missed or false alarms. This study introduces an enhanced machine learning model that integrates statistical and deep learning techniques for real-time anomaly detection in CPS. By employing a hybrid approach of convolutional neural networks (CNNs) with statistical pattern recognition, the model demonstrates improved detection accuracy and responsiveness. Performance is evaluated using industry-standard CPS datasets, showing that the proposed model outperforms existing techniques in both accuracy and efficiency.
Utilization Application and System Geographical Information Website: Systematic Literature Review
Authors: Muhamad Rizky
Published: November 2024

Geographic information systems (GIS) can be said to be a technology that is a tool that can manipulate, store, analyze and even display natural conditions with the help of data. This study focuses on the utilization of GIS applications and websites. The purpose of this study is to see and find out the utilization of GIS applications and websites in human life. The research method used is literature study. In this literature study, 130 international journals and 100 national journals were obtained with the search year of the last 5 years, namely 2018-2022, which were then studied further. 33 selected articles were produced which were used in writing the article. The results of this study are the utilization of geographic information system applications and websites to help human activities and needs in various sectors, such as in the field of education can map the location of industrial work practice locations (PRAKERIN), the health sector can map the location of pharmacies, the transportation sector can provide information related to routes on public transportation and in other sectors.