bluuebunny/crossref_metadata_2025 huggingface dataset:
EFFECT OF INNER COURT PROCESSING ON DAYLIGHTING OF UPI CIBIRU BUILDING
Authors: Handika Shefa Yunel , BORDER Utami
Published: August 2024

Daylighting is an important aspect of building design.  Inner Court is an area in the building in the form of a garden or open space with openings on it so that natural lighting can enter. The Inner Court serves as a source of natural lighting that can provide visual comfort for users.  This study aims to investigate the success of the Inner Court's influence on daylighting in lecture buildings at the University of Education Indonesia (UPI), Cibiru. The research method used is descriptive quantitative, to analyze, describe and review the object under study in accordance with the existing conditions and draw conclusions from the phenomenon using computer simulations through the Velux Daylight Visualizer program. The research focused on knowing, testing, and measuring the extent of the success of natural lighting of buildings in the Inner Court compared to without Inner Court, by producing the results of natural light obtained and measuring the ideal suitability of natural lighting with SNI in the inner space. The results show that the existence of inner court is very effective in meeting the needs of natural lighting compared to when natural lighting only relies on side openings, without using inner court. The results of the comparison of the two differences in building preparations show a very significant difference in the fulfillment of natural lighting standards according to SNI standards. The existence of Inner Court helps fulfill the needs of natural lighting, visual comfort, and reduces the use of artificial light, thus contributing to the energy efficiency of the building.
SYNTAX OF SPATIAL PATTERN OF INFORMAL SETTLEMENT AREA OF SENTRA TAHU CIBUNTU, BANDUNG
Authors: Dwi Kustianingrum Dwi , Haerdy Ratu Sonya Mentari
Published: August 2024

Sentra Tahu Cibuntu, a tofu supplier industry in Bandung Raya, is categorized as an informal settlement because it formed spontaneously due to national road infrastructure development in Bandung City. The designation of an ordinary settlement as a center positively impacts the city's economic growth. On the other hand, the high demand for housing for tofu makers became a new problem that resulted in an increasingly unplanned settlement growth pattern. Spatial patterns in informal settlements need to be identified as a benchmark for estimating the direction of settlement development in the future. Both designers and policymakers can determine the design strategy of the area to improve the quality of informal settlements. This research uses the space syntax approach to analyze integration on the Sentra Tahu Cibuntu axial map. Primary data was obtained through field observations combined with mapping from satellite imagery. The mapping data is processed using DepthMapX software to produce an axial map that shows the integration value, which describes the real setting. The results of the syntactic analysis are combined with the results of field observations to obtain an overview of building functions, activities, and environmental characteristics. The lower integration value is interpreted as low accessibility to residential areas, so residents have high vulnerability to security and safety, limited infrastructure, limited social activities, and low quality of occupant health. Designers can use the results of these findings as a consideration in designing inclusive and sustainable residential areas through innovative designs.
LIGHTING STUDY IN CLASSROOM AT MTS AL MUTTAQIN PLEMAHAN KEDIRI
Authors: Pratama M Risa Diki , Purnama Muhammad Sega Sufia , Nugraha Dian
Published: August 2024

Lighting is very important in the classroom. The layout or orientation, window openings and area of the building must be considered so that sunlight entering the classroom can meet the standart. The purpose of this study was to find out how much light intensity is in the classroom and whether it is in accordance with SNI standards, so that it is comfortable for learning. This research method uses qualitative methods by observing interviews and quantitative methods by using simulations. The results showed that first grade class has an average of 1000 lux for 08.00 AM however, towards 12.00 PM the intensity of incoming light decreases to an average of 100 lux. Second grade has an average of 500 lux for 08.00 AM but towards 12.00 PM the intensity of incoming light decreases until it has an average of 100 lux. Grade three has an average of 300 lux at 14.00 PM and towards 16.00 PM the light intensity only decreases slightly so that it has the same average. The results of the interviews showed a lack of lighting during learning activities. The conclusion is that the average intensity value in the class measured is sufficient, but the distribution is uneven, so artificial lighting is needed.
Cultural Tactical Urbanism for Kids in Terang Bangsa School Area, Semarang City
Authors: Suwarno Kusweanto David , Lo Kevin , Nysa Pertiwi NS Natania
Published: August 2024

Children are an age group that is vulnerable to becoming victims of accidents on city roads, especially with the use of roads as play spaces. Apart from that, at Terang Bangsa Elementary School, there are still outdoor spaces that are unkempt and abandoned. Previous research shows a close relationship between Tactical Urbanism and children's behavior in urban spaces. However, there has yet to be any research regarding Tactical Urbanism that formulates a design specifically intended for children. Therefore, this research aims to formulate a Tactical Urbanism design appropriate to the culture of Terang Bangsa Elementary School children. Qualitative methods were used to answer the research objectives: observation, literature review, and descriptive qualitative. Based on this method, the appropriate Tactical Urbanism design is to provide a playground that facilitates accustomed games. Tactical Urbanism suggests dividing areas into three: circulation, active, and semi-active. Each zone is equipped with furniture that can be disassembled and adapted to suit the child, and it functions as a play stimulant, relaxer, and barrier. Practical street art is needed to support children's play atmosphere. Implementing this design can change the school environment, motivate school children's activities, and become the school's identity.
AERODYNAMIC HIGH-RISE BUILDING IN STRUCTURAL REVIEW AND DESIGN INTEGRATION
Authors: Nugrahini Fibria Conytin
Published: August 2024

Tall buildings that have aerodynamic characteristics are tall buildings that can respond to wind flow and lateral loads that occur on the upper structure of the building. Obstacles in understanding the structural systems in tall buildings often become obstacles for architecture students so design integration cannot be achieved, especially in tall buildings with aerodynamic shapes. Therefore, it is necessary to analyze how the structural patterns that form aerodynamic buildings can be realized using case studies in Indonesia and abroad. The method used in this research is a literature review and analysis with a review of aerodynamic building designs and structures in three building case studies in Indonesia and abroad. It is hoped that by understanding aerodynamic building structural systems, students will be able to combine creativity with their structural systems. Conversely, understanding the structural system can produce design creativity to create an integration of the design and structural system. From the literature review and analysis, it is found that aerodynamic tall buildings have a structural system obtained from twister-shape processing with a composite structural system and a core system. As well as the diagrid system which usually uses a steel diagrid structure system and a core structure system. The core system is still the main reference because its use is more efficient in terms of costs and work methods.
Predictive Analytics for Water Safety: Data Mining and Supervised Learning in Potability Classification
Authors: Nanda Aulia Sofiah  , Fanny Olivia  , Jambak Muhammad Ihsan
Published: August 2024

Water is crucial for survival, especially for consumption, yet its quality is under threat due to human-caused pollution. Contaminated water poses serious health risks, including the transfer of diseases transmitted by water. Therefore, assessing water quality is critical for ensuring its safety for consumption.  Data mining and supervised machine learning algorithms can help classify water potability, revealing hidden patterns and correlations between water parameters. This study evaluates the effectiveness of K-Nearest Neighbors (KNN), Naïve Bayes, Support Vector Machine (SVM), and Neural Network methods in categorizing a water quality dataset. The evaluation is aimed at selecting the most accurate procedure, as indicated by the highest accuracy rate. Results show that Neural Network exceeds KNN (81%), Naïve Bayes (63%), and SVM (73%), with a 85% accuracy rate.
 
Keywords : Classification, Data Mining, Supervised Machine Learning, Water Potability
PENERAPAN FUZZY LOGIC DALAM SISTEM PEMANTAUAN VITAL SIGN BERBASIS INTERNET OF THINGS
Authors: Rahmatulloh Muhammad Rafy , Indroasyoko Narwikant , Khoirunnisa Hilda
Published: August 2024

Perkembangan Internet of Things (IoT) telah membawa inovasi dalam sektor kesehatan, khususnya dalam pemantauan vital sign yang krusial untuk mendeteksi perubahan fisiologis dan mendukung diagnosis penyakit. Pemantauan vital sign pada pasien rawat jalan sering terabaikan akibat kendala waktu dan peralatan. Penelitian mengenai pemantauan vital sign  banyak dilakukan sebelumnya salah satunya menggunakan teknologi bluetooth namaun keterbatasan jangkauan, sementara solusi lain belum mampu mengklasifikasikan kondisi pasien. Penelitian ini mengembangkan alat pemantauan vital sign berbasis IoT dengan empat parameter: tekanan darah, suhu tubuh, detak jantung, dan saturasi oksigen, yang dapat diaksessecara online. Alat ini memanfaatkan fuzzy logic untuk mengklasifikasikan status pasien. Hasil pengujian pada penelitian ini menunjukkan tingkat akurasi dalam pembacaan tekanan darah sebesar 96.4% dan 91.3%, pembacaan detak jantung 98%, pembacaan saturasi oksigen sebesar 98% dan pembcaan suhu tubuh 98%. Dari hasil pengujian klasfikasi pasien menunjukkan 9 dari 10 sampel memiliki keluaran risiko yang sama dengan perhitungan menggunakan penilaian NEWS.
OPTIMASI TEKNIK VOTING PADA SENTIMEN ANALISIS PEMILIHAN PRESIDEN 2024 MENGGUNAKAN MACHINE LEARNING
Authors: Kharisma Rahayu  , M. Khairul Anam  , Lusiana Efrizoni  , Nurjayadi  , Triyani Arita Fitri
Published: August 2024

Pemilihan presiden adalah peristiwa penting dalam sistem demokrasi Negara Kesatuan Republik Indonesia atau NKRI yang diadakan setiap lima tahun. Pro dan kontra pilpres banyak terjadi, khususnya di media sosial Twitter  atau X. X adalah salah satu platform media dimana orang meninggalkan komentar positif, netral, bahkan negatif. Oleh karna itu penelitian ini bertujuan untuk membangun model analisis sentimen untuk melakukan klasifikasi sentimen pilpres 2024. Penelitian ini menggunakan algoritma Support Vector machine , Naïve Bayes dan Decision Tree  dalam melakukan klasifikasi dengan penambahan metode Syntethic Minority Over-Sampling dan Ensemble Voting. Hasil pengujian menunjukkan bahwa sentimen masyarakat terhadap pilpres mendominasi sentimen negatif sebesar 5008 positif 3582 dan netral 1411 sentimen. Kemudian hasil pemrosesan data algoritma SVM, NB dan DT ditambah SMOTE dan optimasi ensemble voting, memberikan akurasi 92,8%, presisi 93%, recall 93% dan F1-Score 93%. Penelitian ini dapat memberikan kontribusi signifikan dengan mengklasifikasikan sentimen masyarakat terhadap data pilpres 2024.
Manajemen Risiko Keamanan Informasi: Studi Kasus Pusat Data Dinas XYZ
Authors: Putra Ramadhoni
Published: August 2024

Banyaknya kasus serangan siber di instansi pemerintah Indonesia, menuntut kepastian pengamanan untuk melindungi data krusial yang dimiliki. Tingginya ketergantungan terhadap pusat data dan dalam rangka menjaga kredibilitas instansi, dibutuhkan suatu perencanaan manajemen risiko keamanan informasi untuk menjamin kerahasiaan, integritas, dan ketersediaan layanan pusat data. Dalam menyusun perencanaan manajemen risiko keamanan informasi pusat data, penelitian dilakukan dengan menggunakan kerangka kerja ISO/IEC 27005:2018 sebagai  kerangka kerja utama dalam proses manajemen risiko, NIST SP 800-30 Rev. 1 sebagai panduan pelaksanaan aktivitas penilaian risiko, dan CIS CSC sebagai acuan  penentuan rekomendasi. Dari penilaian risiko, terdapat 47 risiko yang teridentifikasi. Dari 47 risiko terdapat 30 risiko yang perlu di lakukan penanganan sedangkan 17 risiko lagi dapat di terima oleh organisasi.
Implementing Project Management Integrated with ITIL: Case Study in a Fast-Moving Consumer Goods Company
Authors: Gentri Adiningtyas  , Teguh Raharjo  , Ni Wayan Trisnawaty  , Rina Yuniarti
Published: August 2024

At the last phase of an IT project, it will transfer to the operations team. It is critical to ensure the change management process integrated between project and operations is working smoothly. The study highlights lessons from implementing project management integrated with ITIL. This research is conducted on a multinational Fast-Moving Consumer Goods (FMCG) company that has already implemented project management integrated with ITIL. The study adopts PMBOK and ITIL frameworks, previous studies, and guided interviews, which are then analyzed using socio-technical aspects. This research can enrich existing literature, especially regarding IT project management and service areas. The study concludes that implementing project management integrated with ITIL brings a steadier process to IT projects. One of the socio-technical aspects changed, and the others should be adjusted. Each implementation phase results in different Socio-Technical Systems (STS) components. Nevertheless, as a whole implementation project, the company has already completed all components required.
Analisis Sentimen Mengenai Childfree Menggunakan Metode Naïve Bayes
Authors: Yeni Safitri  , Rakhmat Kurniawan  , Suhardi
Published: August 2024

Kemunculan isu mengenai childfree ini menjadi trending topic di Twitter sejak awal tahun 2020 hingga saat ini, yang banyak melahirkan opini-opini positif dan negatif dari berbagai kalangan khususnya pada media sosial Twitter. Penelitian analisis sentimen ini bertujuan untuk mengetahui tanggapan yang diberikan mengenai childfree berupa opini positif, netral atau negatif dengan mengumpulkan data Twitter. Jumlah dataset yang dipakai sebanyak 700 data dengan pembagian sebanyak 630 data latih dan 70 data data uji. Penelitian ini menggunakan klasifikasi Algoritma Naïve Bayes dan matriks konfusi sebagai evaluasi kinerja dari sistem yang dibangun. Hasil pengujian menunjukkan nilai akurasi sebesar 64.29%, presisi sebesar 68.25%, recall sebesar 64.29% dan fi-score sebesar 55.69%.
Knowledge Management Factors and Its Impact on Green Innovation: A Systematic Literature Review
Authors: Imanuddin Kamila Alifia , Rani Aprilia Astrianty  , Dana Indra Sensuse
Published: August 2024

Environmental problems are becoming more severe due to firms' operational activities, such as industrial production and manufacturing, which damage the environment. Consequently, Green Innovation (GI) is necessary to mitigate these negative effects. Although studies indicate that Knowledge Management (KM) impacts companies with GI, the specific impacts and mediating roles remain unclear. This study aimed to identify factors affecting KM in companies with GI and to understand how KM influences these companies. Using Kitchenham's systematic literature review of 20 articles from the past five years, this study found that green entrepreneurial orientation, green transformational leadership, knowledge-oriented leadership, embeddedness, stakeholder pressure, big data analytics capabilities, and training influence KM in companies with GI. Additionally, KM affects companies with GI directly and indirectly through human capital, sustainable development practices, environmental awareness, and green creativity. A conceptual model was proposed to illustrate these relationships, providing insights and recommendations for optimizing KM implementation in GI settings.
Cryptocurrencies Price Estimation Using Deep Learning Hybride Model of LSTM-GRU
Authors: Auliyah Ulul Azmiati
Published: August 2024

One of the financial assets in currency exchange is now cryptocurrency. The public is drawn to cryptocurrency trading because it is considered a lucrative form of investing. For cryptocurrency investors to maximize their earnings, accurate price forecasting is crucial. As price forecasting involves time series analysis, a hybrid deep learning model is suggested to project cryptocurrency prices in the future. Long Short-Term Memory and Gated Recurrent Unit (LSTM-GRU) networks are integrated into the hybrid model. Three cryptocurrency datasets are evaluated using the suggested hybrid model: Ethereum, Ripple, and Bitcoin. According to experimental results, the suggested LSTM-GRU model may provide the lowest MSE and RMSE values on the Bitcoin dataset (0.0611 and 0.2472), the Ethereum dataset (0.0369 and 0.19222), and the Ripple dataset (0.0006 and 0.0247).
Implementasi MES Pada Testing Dan Pick & Place Station Berbasis Iot Dan Aplikasi Mobile
Authors: Yuliadi Erdani Yuliadi Erdani , Adhitya Sumardi Sunarya Adhitya Sumardi Sunarya , Jody Jovantio Jody Jovantio
Published: August 2024

Pemantauan dan pengontrolan proses produksi industri di Indonesia masih banyak dilakukan secara manual, hal ini meyebabkan masih adanya kesalahan dan keterlambatan dalam mengumpulkan informasi serta proses pengiriman. Manufacturing execution system (MES) adalah salah satu jenis software manajemen produksi yang berguna untuk mengambil data secara otomatis dan real time. Manufacturing execution system dapat diterapkan dengan teknologi internet yang dapat diakses secara jarak jauh. Internet of Things (IoT) adalah sebuah konsep yang terhubung dengan perangkat sebagai media komunikasi berbasis internet. MES dan IoT dapat dihubungkan dengan Flutter yang nantinya akan menjadi media interface yang akan ditampilkan pada aplikasi mobile. Penggunaan sistem informasi berbasis mobile ini ditujukan agar proses pengolahan data dan hasil informasi lebih optimal.
Audit Keamanan Informasi Pemasok Pada Perusahaan Penyelenggara Sistem Pembayaran XYZ
Authors: Mulyadi Farroh Sakinah , Rizal Fathoni Aji
Published: August 2024

Hubungan kerja sama yang terjalin antara perusahaan dengan pemasok merupakan salah satu perwujudan strategi sumber daya perusahaan untuk tetap produktif dan kompetitif. Namun, Pemasok juga berperan menimbulkan risiko keamanan informasi seperti ancaman keamanan siber dan perlindungan data. Dalam rangka menjamin keamanan aset informasi perusahaan, PT XYZ menerapkan sistem manajemen keamanan informasi dengan mengimplementasikan ISO/IEC 27001:2022 di seluruh aset informasi perusahaan baik yang dikelola secara mandiri oleh internal maupun dikelola oleh pihak eksternal (pemasok). Oleh karena itu, penelitian ini bertujuan untuk melakukan pengukuran tingkat kritikalitas pemasok terhadap keamanan informasi perusahaan dengan pendekatan manajemen risiko aset teknologi informasi. Pemasok yang termasuk sebagai pemasok kritikal akan di evaluasi penerapan kontrol keamanan informasinya melalui proses pemantauan yang sistematis seperti audit dan uji tuntas. Hasil penelitian ini menunjukkan bahwa dua pemasok di PT XYZ dengan tingkat kritikalitas tinggi perlu untuk diaudit dan tiga pemasok dengan tingkat kritikalitas sedang perlu untuk melakukan uji tuntas.
Detection of DDoS Attack Based on Deep Neural Network with various Number of Features
Authors: Jaber Suhad Shakir , Kadhim Rasim Azeez
Published: August 2024

Distributed Denial of Service (DDoS) attacks have become an effective threat to the reliability and availability of the services of the internet in last decades. The effectiveness of utilizing Deep Neural Networks (DNNs) for DDoS attack detection is investigated in this paper. We implemented a reliable detection system that analyzes network traffic data to spot any DDoS activities. A multi-layer perceptron model trained on a dataset containing five different forms of DDoS attacks and normal traffic is used in this method. Also, three cases of varous number of features was investigated to extract the optimal number of features that can be used for detection of DDoS attacks. To improve accuracy, a great deal of testing was done on the model's architecture using various hyperparameters and training procedures. With a 96.5% detection rate, the DNN results showed a high degree of accuracy. This demonstration highlights the ability of deep neural networks to identify DDoS attacks in the midst of regular traffic. The six-category classification enhances detection granularity and facilitates the application of more specialized and successful mitigation techniques. Given the great precision attained, DNNs have the potential to be an essential part of real-time detection systems, providing a major advancement over conventional techniques.
Portrait of e-Government Implementation in Public Complaints Services in Indonesia
Authors: Yunita Novi Prisma , Selina Refdian Shella , Anggriawan Galih
Published: August 2024

Public complaints are a form of public services provided by governments. Its function is to facilitate the public in submitting complaints related to public services. Public complaint channels: SMS, telephone number, email, form, and website. Based on website searches, various implementations of complaints were found in government websites. They are vary in term of number and implementation. For example, one website provides 2 channel, other website provides none. Two website provide 2 channel, but differs in attributes. Apart of this diversity, the portrait of implementing public complaints is unexplored. This research aims to map the implementation of public complaints in provincial governments in Indonesia. Official website is used as primary data. Documentation and website analysis is conducted to each websites. Keywords, such as complaints, complaints, public services, and public complaints, are used in website content analysis. The content analysis  is classified into the Gartner stage model: presence, interaction, transaction, and transformation. The results show that of the 38 provincial governments, 6 provincial governments are at the presence stage, 23 at the interaction stage, 4 at the transaction stage, and 5 provincial governments at the transformation stage.
Performance of Cloud Computing Resources Allocations SGLA Model Compared to ARIMA
Authors: Sekwatlakwatla Sello Prince , Malele Vusumuzi
Published: August 2024

Solutions for cloud computing are growing in popularity as a means for businesses to streamline operations, save expenses and increase productivity. The benefit of cloud services is that they let customers access on-demand apps and services from a shared pool of programmable computer resources and store data offsite. Cloud computing resource allocation requires sophisticated tools and methodologies for optimal utilization. These problems include load balancing, efficient resource management and compliance with legal and regulatory requirements. The majority of businesses are switching to cloud services and advising their customers to use internet services. However, effective resource allocation is critical for improving performance and lowering costs in this area. Due to unpredictable network traffic in cloud computing, resource allocation is challenging, which causes customers to complain about application timeouts, delayed system times and higher bandwidth use during peak hours. This entails allocating resources to various users and programs, such as memory, processing power, storage, and network bandwidth. In this regard, this study compares the performance ensemble method, which is stepwise Gaussian Linear Autoregressive (SGLA), and the individual method which is autoregressive integrated moving average (ARIMA). The Matlab tool is used for simulation and evaluation of the results. The results show SGLA prediction accuracy increased to an average of 98.9%, and ARIMA prediction showed an accuracy of 75.5%. In this regard, the ensemble method performed better than individual methods using the same datasets. The study recommends the ensemble method for the prediction and allocation of resources in cloud computing.
Case Report: Application of Hypnopressure on the Smoothness of Breastfeeding and Breastfeeding Self-Efficacy in Teenage Mothers
Authors: Chumaira Risti Linta , Setiawati Nina
Published: August 2024

Background: Mother's milk is the best natural food a mother can give to her baby. Breastfeeding is influenced by age; the younger the mother's age, the more breastfeeding tends to become smaller. Consistent milk production and a sense of confidence in breastfeeding are essential to the success of exclusive milk delivery. Hypnopressure is one of the methods that can enhance and maintain milk production and breastfeeding confidence.
Objectives: The purpose is to report the provision of nursing care based on evidence-based on the problem of smooth breastfeeding and breastfeeding self-efficacy in teenage mothers.
Methods: Case studies by implementing evidence-based practice in nursing care. The study was conducted on two teenage breastfeeding mothers who had problems with breastfeeding fluency and breastfeeding self-efficacy.
Results: The primary outcome of this study will be the effect of the intervention on breastmilk production and breastfeeding confidence in teenage mothers. We conclude that hypnopressure could improve breastmilk production (92,8% and 85,7%) and breastfeeding confidence (55 and 57)
Conclusion: Implementing evidence-based practice related to hypnopressure can smooth breastfeeding and improve its effectiveness in adolescent mothers.
Design of scalable manufacturing process for the production of biodegradable polymeric microneedles for protein transdermal drug delivery
Authors: Zolotareva M. S. , Churikov V. V. , Panov A. V. , Kedik S. A.
Published: August 2024

Introduction. Dissolving polymeric microneedles are attractive drug delivery system especially for vaccine delivery. Still there are a lot of obstacles in developing scalable manufacturing process of them.

Aim. To develop a scalable manufacturing process for producing polymeric dissolving microneedles, which can enable keeping protein activity during manufacturing process.

Materials and methods. Microneedles were produced from aqua solution of 20 % w.v. pullulan and 3 % w.v. polyvinyl alcohol by casting in hollow negative polyethylene terephthalate mold. Human serum albumin was chosen as a model protein for this investigation.

Results and discussion. There were chosen the mode of mold filling and microneedle drying process, which can guarantee keeping of protein activity during manufacturing process.

Conclusion. The designed technology can be easily scaled up and used for producing vaccine drug delivery systems, because it doesn’t contain any restraining processes.
Inquiry-based Ethnoecological Conservation Approach to Improve Students' Critical Thinking Skills
Authors: Musah Ebikabowei , Wangila Caroline
Published: August 2024

This study explores the effectiveness of an inquiry-based ethnoecological conservation approach in enhancing critical thinking skills among students. Amidst growing concerns over environmental degradation, the integration of ethnoecological knowledge within educational frameworks emerges as a potent tool for fostering environmental stewardship and critical thinking. This research adopts a mixed methods design, engaging 45 secondary school students in a two-month pedagogical intervention that blends inquiry-based learning with ethnoecological insights. The intervention's impact on critical thinking was assessed using pretest-posttest analysis, supplemented by qualitative insights from student interviews. Quantitative results demonstrate a significant improvement in students' critical thinking skills post-intervention, with statistical analysis revealing a notable increase in mean scores and a reduction in score variability. This indicates not only an enhancement in critical thinking abilities but also a homogenization of skills across the participant group, underscoring the universal efficacy of the approach. Qualitative findings further enrich these results, with students reporting a deeper understanding of environmental issues, a stronger connection to cultural heritage, and a heightened sense of responsibility towards conservation efforts. The study highlights the transformative potential of integrating indigenous knowledge systems into environmental education, advocating for a pedagogical shift towards more inclusive, culturally relevant learning frameworks. By engaging students in a contextually rich exploration of ecological and cultural interconnections, the inquiry-based ethnoecological approach proves effective in cultivating critical thinking, thereby equipping students with the cognitive tools necessary to navigate and address complex environmental challenges. This research contributes to the evolving discourse on environmental education, offering valuable insights into the role of ethnoecology and inquiry-based learning in developing critical thinking skills and fostering a generation of informed and engaged environmental stewards.
Breed-related tumours in Bernese mountain dogs and Flat-coated retrievers and the predisposition to Histiocytic Sarcoma
Authors:   , Erich Suzanne Agnes
Published: August 2024

The high prevalence of histiocytic sarcoma (HS), one of the most aggressive and still nearly always fatal tumours, in the Bernese mountain dog (BMD) and the Flat-coated retriever (FCR), leads to increasing concern among owners, breed societies and veterinarians worldwide. To turn the tide in this devastating disease, more insight into the disease process is urgently needed.
This thesis first of all provides insight into the precise causes of death of both breeds. This shows that malignant tumours are the main reason for the relatively short life expectancy, and that 1 in 7 of all BMDs and FCRs die as a result of HS. Secondly, it also provides insight into how HS can be differentiated from other malignant tumours. With a high probability, there are also dog-equivalents of human HS-subtypes. In addition, there are partial genetic or environmental differences between breeds in the development of HS. Thirdly, this thesis gives, for the first time, a complete overview of the full scope of all possible clinical presentations of HS in the BMD and FCR. It is notable, among other things, that the localized HS-disseminated HS (LHS-DHS)-distributions are exactly reversed in the BMD (more DHS) and FCR (more LHS).
Also, this thesis describes the first clinical study of safety and efficacy of artesunate. Artesunate is able to affect the growth of spontaneously occurring, inoperable tumours, including HS, in dogs. Further, this thesis demonstrates that the BMD is an attractive model for studies of the genetics of HS. The very first genome-wide association studies (GWAS) of HS reveal a number of genetic changes, present in 96% of all BMDs with HS, which may have a major contribution to susceptibility to HS. Finally, an analysis is presented of all currently known genetic variants in dogs and humans with HS, together with their possible mutation-targeted therapies, their efficacy and a contemplation on the future. This shows that the BMD and FCR with HS can both function as animal model for human HS. With a joint effort, a major acceleration of knowledge is expected that can improve the survival rate of this devastating disease in humans and animals.
PENGEMBANGAN E-MODUL TERINTEGRASI HOTS MATERI GARIS DAN SUDUT UNTUK MENINGKATKAN LITERASI NUMERASI SISWA KELAS VII SMP
Authors: Winanda Mutia Balkis , Reflina
Published: August 2024

Penelitian pengembangan ini bertujuan untuk menghasilkan e-modul terintegrasi HOTS yang valid, praktis dan efektif untuk meningkatkan literasi numerasi siswa kelas VII SMP Pahlawan Nasional.  Produk yang dikembangkan berupa e-modul. Penelitian ini menggunakan metode Research and Development dengan model ADDIE yaitu Analysis, Design, Development, Implementation, dan Evaluation. Hasil penelitian pada uji validitas e-modul masuk dalam kategori sangat valid dengan rata-rata 85,69%, hasil kepraktisan e-modul melalui angket respon guru dengan persentase 95% kategori sangat praktis, dan angket respon siswa dengan persentase 88,17% dengan kategori sangat praktis, hasil tes menunjukkan adanya peningkatan kemampuan literasi numerasi siswa, dengan hasil 0,9 adalah kategori efektif. Sehingga e-modul terintegrasi higher order thinking skills pada materi garis dan sudut untuk meningkatkan literasi numerasi siswa valid, praktis dan efektif untuk digunakan.
THE INFLUENCES OF ELECTRONIC-BASED GOVERNMENT SYSTEM (SPBE) IMPLEMENTATION ON PERFORMANCE ACCOUNTABILITY IN THE REGIONAL SECRETARIAT OF SOUTH SULAWESI PROVINCE
Authors: Almadani Muzzaman , Cahyani Andi Asniar Dewi , Khadafi Muhammad
Published: August 2024

This research investigates the impact of implementing the Electronic-Based Government System (SPBE) on performance accountability within the Regional Secretariat of South Sulawesi Province. The research addresses a discrepancy where performance assessments based on accountability reports from the Regional Secretariat do not align significantly with the SPBE assessment index. Adopting a quantitative, descriptive methodology, the research surveyed civil servants working across various units of the Regional Secretariat in South Sulawesi Province. Data was collected using a questionnaire validated for reliability through Statistical Package for the Social Sciences (SPSS). The findings indicate a significant positive influence of SPBE implementation on performance accountability within the Regional Secretariat of South Sulawesi Province.
IMPLEMENTING MERIT-BASED POSITION PROMOTIONS IN MALANG DISTRICT, EAST JAVA PROVINCE
Authors: Amalia Rizki , Selamat Mohd. Nasir , Ekowati Maria , Fatimah Yeti , Nangameka Teresa Irmina
Published: August 2024

The merit system stands as a cornerstone in human resource management, emphasizing qualifications, competencies, and performance across various facets such as planning, recruitment, payroll, development, promotion, retention, discipline, and retirement of employees. However, the implementation of this system within the Malang Regency Government reveals gaps, particularly in the fulfillment of positions, notably within sub-districts and kelurahans. This research delves into the challenges surrounding the promotion of civil servants in echelon III and IV positions based on the merit system. The aim is to scrutinize the promotion process and Strategies adopted by the Malang Regency government, East Java Province. Employing a qualitative approach with a case research method, primary data is gathered from interviews with informants, complemented by secondary data derived from documentation. Through techniques such as interviews, documentation, and observation, qualitative data analysis is conducted. The promotion strategy is further evaluated using a SWOT analysis, pinpointing strengths, weaknesses, opportunities, and threats. Findings reveal that vacancies in sub-districts stem from employees' educational levels, often limited to high school qualifications, leading to the appointment of personnel through PLT. The Department of Human Resources (BKPSDM) endeavors to incentivize employees to pursue higher education. Notably, nine key indicators—honesty, discipline, work performance, cooperation, proficiency, loyalty, leadership, communication, and education—emerge as crucial in promotion evaluations, though challenges persist, particularly in meeting education and discipline requirements. The SWOT analysis aids in identifying priority programs and activities essential for advancing promotion based on the merit system in Malang Regency, East Java Province.
Enhancing Civil Servant Competency through Structural Position Equalization at the National Unity and Politics Department of Pasangkayu Regency, West Sulawesi Province
Authors: Ambarawati Gusti Ayu , Hani Abdurrachman , Dewi Ayu Raditya Kencana
Published: August 2024

The current bureaucratic restructuring policy eliminates the Echelon III, IV, and V positions. The Ministry of State Officials Empowerment and Bureaucratic Reform (Kemenpan&RB) issued Circular Letter (SE) of the Minister of PAN and RB Number 393 of 2019, outlining Strategic and Concrete Steps to Simplify the Bureaucracy. Consequently, civil servants underwent competency adjustments following the transition from structural to functional positions at the National Unity and Politics Service in Pasangkayu Regency, West Sulawesi Province. These reforms, initiated in response to Indonesia's recent crises, have significantly bolstered the foundational aspects of democratic life in the country. To evaluate the competencies of civil servants post-transition, the author employed Gordon's (1988) competency theory, which encompasses dimensions such as knowledge, understanding, values, abilities, attitudes, and interests. The research employed a descriptive qualitative method to conduct evaluations, facilitating an in-depth analysis of the competencies of employees affected by the structural-to-functional position equalization at the National Unity and Politics Service in Pasangkayu Regency, West Sulawesi Province. Overall, the competencies of civil servants in the National Unity and Politics Department of Pasangkayu Regency have not yet reached optimal levels. Challenges such as inadequate budgetary support for competency development and insufficient readiness among civil servants following the equalization of positions continue to hinder efforts to enhance employee competency at the National Unity and Politics Service.
Analysis of Corporate University Programs and Their Relevance to E-Government Implementation in Indonesia
Authors: Wijaya I Made Aldy , Alle Elkis , Sudarmono Sudarmono
Published: August 2024

Today's digitalization era demands system transformation in all sectors of life, including the government and bureaucratic sectors. State officials’ competence needs to be improved in order to adjust to the digital government environment (e-government).  Education and training are essential for coping with the dynamic environment and enhancing the competency management of Civil Servants (ASN), as mandated by Law Number 5 of 2014 concerning ASN. This necessity has led to the emergence of the Corporate University concept in education and training units. This research aims to assess the relevance of the Corporate University program in developing ASN competencies to meet the challenges of e-government in Indonesia. The research employs descriptive methods and qualitative approaches, with data sourced from literature reviews. Data collection is conducted through documentation methods, and problem analysis utilizes Miles & Huberman's data analysis techniques, which include data reduction, data presentation, and conclusion drawing. The findings indicate that the Corporate University program is pertinent to the implementation of e-government, particularly in capacity building for civil servants through integrative learning and e-learning-based training in government agencies. Corporate University can be an effective solution to the need for digitally literate civil servants capable of operating an integrated digital service system, especially within local government, which is the closest government unit to the community.
VALIDITY OF GUIDED INQUIRY-BASED WORKSHEETS ON VIII-GRADE SUBSTANCE PRESSURE MATERIALS
Authors: An-Nabilah Syafiqoh , Oktaffi Arinna Manasikana
Published: August 2024

Abstract: The lack of use of teaching materials in the form of worksheets which can facilitate class VIII-A students Bahrul Ulum Middle School, who quickly understood science concepts through hands-on practice, made learning science boring. So it is necessary to develop worksheet guided inquiry-based learning models on substance pressure materials, which emphasize discovering concepts through direct practice with intensive teacher guidance. This study aims to describe (1) The process of developing guided inquiry-based worksheets on substance pressure materials, and (2) The product resulting from the developing worksheets after a valid, practical, and effective process. The development model used is ADDIE, with five stages: analysis, design, development, implementation, and evaluation. The results showed (1) The process of developing worksheets is based on the stages of the ADDIE development procedure, and (2) The products resulting from the developing worksheets obtain a validity score of 95% with "Very Valid" criteria, a practical score based on the observation sheet 94% with "Very Practical" criteria and student response questionnaire of 96,5% with "Very Practical" criteria, and an effectiveness score of 93,3% with "Very Effective" criteria. The developing worksheets are suitable for use as teaching material for students in learning science.
THE VALIDITY OF STUDENT WORKSHEET BASED PROJECT IN TRAINING STUDENTS’ CRITICAL THINKING FOR 8th MTs ON EXCRETION SYSTEM MATERIALS
Authors: Zuhrotun Nisa'  , Nurhayati
Published: August 2024

The purpose of this study is to develop project based learning worksheets on excretion system material for class VIII MTs based on validity test. In project based learning, excretory system material is material connected to life. This is a form of development research with reference to the ADDIE development model, which has  5 stages: (1) Analyze, (2) Design, (3) Development, (4) Implementation, and (5) Evaluation. However, the Implementation did not take place in this research. The acquired data was descriptively examined  quantitatively and qualitatively. The outcomes of the LKPD development are consistent with the revisions of the supervising lecturers and validators consisting of media expert lecturers, subject matter expert lecturers, and science teachers. Based on the outcomes of the development assessment of project based learning worksheet obtained an average validation result from the validator of 3,68 with a very valid category. So, it can be conclude that the development of project based learning worksheets on excretion system material for class VIII MTs. which developed with the ADDIE development model is very valid for use in learning.
MISCONCEPTION ON STOICHIOMETRIC MATERIAL IN STUDENTS USING THE FOUR-TIER DIAGNOSTIC TEST
Authors: Nur Muhammad Nazarudin , Astutik Trining Puji , Siska Oktapianti
Published: August 2024

Chemistry is a difficult science when studying it, which leads to misconceptions. Misconceptions can be identified using The Four-Tier Diagnostic Test. The aim of the research is to find out misconceptions about solar stoichiometry using The Four-Tier Diagnostic Test. The type of research is descriptive and the research approach is qualitative. The research subjects were students of XII IPA 1, 2, 3, and 4 at SMAN 1 Barabai. The object of research is the misconception of stoichiometric materials. The research results showed that from 9 materials, all of them were proven to be misconceptions. The misconceptions are: (1) The formula used is inverted, (2) Wrong calculation of the number of digits, (3) The formula used is wrong, (4) Two different material concepts but are considered the same, (5) Wrong calculation of the number atoms in molecules, (6) Misunderstanding the definition of the concept of matter, (7) Wrongly determining the value of the concept of matter.
ARTE E IDENTIDADE NACIONAL GREGA
Authors: De Oliveira da Silva Bruno , Carinie Gomes e Silva Elloane
Published: August 2024

O estudo objetivou desvelar a identidade nacional grega apresentada na Cerimônia de Abertura dos Jogos Olímpicos de Atenas 2004. Este trabalho originou-se de uma abordagem qualitativa, com base em levantamentos bibliográfico e documental, efetivando assim, um estudo de caso sob a vertente semiótica de Peirce (2017), analisado pela ótica do método “Análise de Imagens em Movimento” adaptado por Silva (2019) de Rose (2015), com o auxílio do Opening Ceremony Media Guide. O estudo apresentou simbologias de elementos presentes na identidade nacional grega exibidos pelo espetáculo.
Comprehensive assessment of microalgal-based treatment processes for dairy wastewater
Authors: Singh Pooja , Mohanty Satya Sundar , Mohanty Kaustubha
Published: August 2024

The dairy industry is becoming one of the biggest sectors within the global food industry, and these industries use almost 34% of the water. The amount of water used is governed by the production process and the technologies employed in the plants. Consequently, the dairy industries generate almost 0.2–10 L of wastewater per liter of processed milk, which must be treated before being discharged into water bodies. The cultivation of microalgae in a mixotrophic regime using dairy wastewater enhances biomass growth, productivity, and the accumulation of value-added product. The generated biomass can be converted into biofuels, thus limiting the dependence on petroleum-based crude oil. To fulfill the algal biorefinery model, it is important to utilize every waste stream in a cascade loop. Additionally, the harvested water generated from algal biomass production can be recycled for further microalgal growth. Economic and sustainable wastewater management, along with proper reclamation of nutrients from dairy wastewater, is a promising approach to mitigate the problem of water scarcity. A bibliometric study revealing limited work on dairy wastewater treatment using microalgae for biofuel production. And, limited work is reported on the pretreatment of dairy wastewater via physicochemical methods before microalgal-based treatment. There are still significant gaps remains in large-scale cultivation processes. It is also crucial to discover robust strains that are highly compatible with the specific concentration of contaminants, as this will lead to increased yields and productivity for the targeted bio-product. Finally, research on reutilization of culture media in photobioreactor is necessary to augument the productivity of the entire process. Therefore, the incorporation of the microalgal biorefinery with the wastewater treatment concept has great potential for promoting ecological sustainability.
An insight into pharmaceutical challenges with ionic liquids: where do we stand in transdermal delivery?
Authors: Jain Ankit , Shakya Ashok K. , Prajapati Shiv Kumar , Eldesoqui Mamdouh , Mody Nishi , Jain Sanjay K. , Naik Rajashri R. , Patil Umesh K.
Published: August 2024

Ionic liquids (ILs) represent an exciting and promising solution for advancing drug delivery platforms. Their unique properties, including broad chemical diversity, adaptable structures, and exceptional thermal stability, make them ideal candidates for overcoming challenges in transdermal drug delivery. Despite encountering obstacles such as side reactions, impurity effects, biocompatibility concerns, and stability issues, ILs offer substantial potential in enhancing drug solubility, navigating physiological barriers, and improving particle stability. To propel the use of IL-based drug delivery in pharmaceutical innovation, it is imperative to devise new strategies and solvents that can amplify drug effectiveness, facilitate drug delivery to cells at the molecular level, and ensure compatibility with the human body. This review introduces innovative methods to effectively address the challenges associated with transdermal drug delivery, presenting progressive approaches to significantly improve the efficacy of this drug delivery system.