bluuebunny/crossref_metadata_2025 huggingface dataset:
Sistem Pendukung Keputusan menggunakan Metode Topsis untuk Seleksi Guru Terbaik
Authors: Fransiska Rani , Siagian Yessica , Rohminatin Rohminatin
Published: July 2024

The process of selecting the best teachers is an important aspect of ensuring optimal quality of education in a school. However, the selection process for the best teachers at SMPN 5 Kisaran often faces obstacles such as subjectivity, lack of efficiency, and lack of transparency. This research aims to produce a decision support system using the TOPSIS method to increase objectivity and effectiveness in the teacher selection process, as well as contribute to improving the quality of education. This research is a development type using waterfall, including analysis, design, coding, testing, and implementation stages. The analysis stage is to identify system requirements, the design stage is to determine the system interface, the coding stage is to build the system, and the testing stage is to validate its functionality using a black box. Teacher performance data was collected through interviews, observation, and documentation studies. Teacher performance data will be analyzed using the TOPSIS method, which involves stages of weighting criteria, calculating relative scores, and ranking teachers based on the highest scores. The results of our findings are in the form of a decision support system application for selecting the best teachers. The test results show that this system is running well and by the design and model that has been planned. With this system, it can help SMPN 5 Kisaran in selecting the best teachers.
Metricfy: Aplikasi Pembelajaran Numerasi berbasis Web
Authors: Tanjung Firda Rosiana , Widodo Suprih
Published: July 2024

The low numeracy literacy among students is primarily due to two factors: a lack of interest in numeracy learning and limited learning resources. The Ministry of Education and Culture's National Assessment Programme in 2022 revealed that numeracy skills in Indonesia remain low, with only about 40,63% of students demonstrating numeracy competence. Improvement is necessary to achieve better results. The aim of this research is to develop an interactive numeracy application for student learning and assess its suitability. Development utilised Rapid Application Development (RAD) with three main phases: requirement planning, design, and implementation. Data collection involved surveys and quantitative descriptive analysis. In the final development phase, the application underwent testing to ensure functionality and effectiveness. Functional testing using black box methods showed all features performed as expected. Additionally, a System Usability Scale (SUS) survey administered to students yielded a score of 78.05, categorised as "acceptable" (good), indicating the application meets usability and effectiveness standards.
Penerapan Metode Vulnerability Assessment untuk Identifikasi Keamanan Website berdasarkan OWASP ID Tahun 2021
Authors: Darmawan Candra , Naibaho Julius Panda Putra , Kweldju Alex De
Published: July 2024

Universities, as educational institutions, are potential targets of cyber attacks. This is inevitable problem, one of which  the University of Papua (UNIPA). The purpose this research is to find the security gaps the UNIPA website based on OWASP ID in 2021 and implement mitigation. Type of research is quantitative research with Vulnerability Assessment and Penetration Testing Life Cycle (VAPT) method. The VAPT method in research goes through five stages, namely scope, information gathering, vulnerability assessment, risk assessment, and reporting. The object of research is UNIPA website. Data collection uses primary data, the results of scanning the Zed Attack Proxy (ZAP) application. Data obtained from alerts ID, alerts, risk, and OWASP ID as information on vulnerability of UNIPA website. Research data analysis using OWASP ID. The results our findings, the vulnerability of UNIPA website is influenced by two factors, website security weaknesses and user negligence. Vulnerabilities with alerts ID A1, A2, A3, A4 A5, and A6 are a group website security weaknesses. The solution, vulnerabilities need utilize special systems such as anti-CSRF, CSP, CDN, Strict-Transport-Security Header, and timestamp checking so that the website is proportional. Meanwhile, the vulnerability with alerts ID A7 is a classification of user negligence. The solution is users must use the latest version of the browser. Browsers with latest version have X-Content-Type-Options: nosniff security mechanism to prevent sniffing attacks.
Penerapan Random Oversampling dan Algoritma Boosting untuk Memprediksi Kualitas Buah Jeruk
Authors: Ananda Imanuel Khrisna , Fanani Ahmad Zainul , Setiawan Dicky , Wicaksono Duta Firdaus
Published: July 2024

According to the 2019 data, global orange production has increased significantly, reaching 79 million tons. However, despite the availability of various types of oranges in Indonesian markets, many vendors still sell low-quality oranges. To address this issue, researchers have applied random oversampling and boosting algorithms to predict orange quality, using the public Orange Quality Analysis Dataset. This study uses random oversampling to address data imbalance and combines it with boosting algorithms like Adaboost, Gradient Boosting, Light GBM, and CatBoost. The data features considered include size, weight, sweetness level, acidity level, and others. The accuracy of the boosting algorithms used varied, with CatBoost showing the highest accuracy rate of 91.42%. The hope is that this research can help orange producers create high-quality products and reduce the occurrence of low-quality oranges, ultimately providing consumers with better oranges. Additionally, this can help producers market their oranges both domestically and internationally.
Sistem Informasi Pelaporan Perkembangan Pasien (SI-PELPASI) berbasis Mobile Android
Authors: Gea Yusuf Abdul Aziz , Muhamad Alda
Published: July 2024

The use of Android mobile applications in the healthcare sector as tools for patient progress reporting has become a significant innovation. The mobile Android-based patient progress reporting information system (SI-PELPASI) serves as a solution to enhance efficiency and accuracy in patient monitoring. This study aims to develop a mobile Android-based patient progress reporting information system at the Bukit doa rehabilitation centre, an Institution for Mandatory Reporting (IPWL). The system development in this study employs the System Development Life Cycle (SDLC) method, which consists of systematic stages: the planning stage aims to plan the system, the analysis stage involves reviewing existing and current systems and collecting data through interviews and observations, the design stage includes designing Unified Modelling Language (UML) diagrams and the user interface, the implementation stage uses the Kodular app creation platform, and the testing stage uses the black box method to test system functionality. Our findings resulted in the Patient Progress Reporting Information System in the form of a Mobile Android application named SI-PELPASI. The application runs smoothly and can be operated on Android-based mobile devices. With this application, the process of reporting patient progress becomes faster and real-time.
Sistem Pendukung Keputusan Cerdas untuk Pemilihan Jenis Tanaman Pertanian Kota
Authors: Ramadhan Jeri , Hermadi Irman , Sitanggang Imas Sukaesih
Published: July 2024

Urban farming activities have become increasingly popular to meet their food needs in urban areas. Jakarta as provinces with a population density of high, have a program of urban farming is developed by the farmers to urban Balkot Farm. This study aims to support system to develop a clever move the crop farm a town with the simple additive weighting (SAW). The methods used to obtain the highest related alternative plant assessed according to its parameters that affect the eligibility of land and a room with a variety of plants. The methodology used software development life cycle (SDLC) prototyping model consisting of five of the communication, quick plan, modeling quick design, construction of prototype deployment and delivery and feedback. Data collection method using interviews and the study of literature. Research results of a web application system that has an alternative menu, criteria, subcriteria, rating match and results. Smart decision support system based on black box testing and user acceptance testing successfully shows menus according to land criteria that will be used according to stakeholder needs.
Antimicrobial potential and characterization of silver nanoparticles synthesized from Ocimum sanctum extract
Authors: Mustapha Sulaiman  , Ma’aruf Abdulmumin Muhammad  , Aminu Shehu Sulaiman  , Amina Lawan Abubakar  , Ritu Sharma  , Abubakar Musa Shuaibu  , Raksha Tiwari  , Ibrahim Tasi’u Mustapha
Published: July 2024

The growing resistance of microbes to conventional antibiotics and the environmental impact of chemical synthesis methods highlight the urgent need for effective and sustainable antimicrobial agents. In this study, we address these challenges by synthesizing silver nanoparticles (AgNPs) using Ocimum sanctum leaf extract, a green and efficient method. We confirmed AgNPs synthesis through UV-vis spectroscopy, observing a Surface Plasmon Resonance (SPR) peak centered at 420 nm. X-ray Diffraction (XRD) analysis showed intense peaks at 37.81°, 45.01°, 63.91°, and 78.0°, corresponding to Bragg's reflections at 111, 200, 220, and 311, respectively, with an average particle size of approximately 18 nm calculated using Scherrer's formula. The reduction of Ag+ was monitored using Atomic Absorption Spectroscopy (AAS), which revealed a rapid decrease from 2.73 ppm to 0.023 ppm within four minutes, driven by the active reducing agents in the O. sanctum extract. The Scanning Electron Microscope (SEM) image confirmed the spherical shape of the AgNPs, with an average size of 23.82 ± 4.17 nm. Fourier Transform Infrared (FTIR) spectroscopy identified absorption peaks at 1635 cm⁻¹ and 3430 cm⁻¹, associated with the amide I bond of proteins and OH stretching in alcohols and phenolic compounds, respectively. The synthesized AgNPs exhibited significant antimicrobial activity, demonstrated by a dose-dependent inhibitory effect against bacterial strains. The inhibition zone measured 6 mm at the lowest concentration of 5 µg/L and increased progressively to 14 mm at the highest concentration of 25 µg/L, indicating strong antimicrobial potential even at low dosages.
Space management using Transpalatal arch in mixed dentition phase: A case report
Authors: SREEJEETA DEY  , SEEMA DESHMUKH
Published: July 2024

Introduction: The early exfoliation of primary molars during the mixed dentition phase often results in disruptions to the normal development of occlusion. An alternative option for space management in the maxillary arch besides the commonly used Nance palatal holding appliance is the transpalatal arch which allows some amount of space regaining. Case report: A 9 year old female reported with a complaint of missing tooth in the upper right back tooth region since 2 years. On examination, there was premature loss of the right primary maxillary first molar causing space deficiency in the arch form. A treatment plan was made for space regaining and distalization with transpalatal arch custom made with 0.9mm stainless steel wires and soldered to the molar bands. The treatment spanned for 10 months with the eruption of the permanent successor in correct arch form. Conclusion: Although the use of transpalatal arch is limited in pediatric dentistry, it can be used for correcting minor space discrepancies of the maxillary arch. More number of cases need to be studied for extending the use of the appliance in interceptive orthodontics.
Consumer’s satisfaction towards service delivery of Nepal Electricity Authority: (A case study of Kuleshwor branch)
Authors: Bharat K.C
Published: July 2024

Consumer satisfaction is fulfillment of consumer need, desires and expectation from their service provider. Now days, organization are trying to fulfill the consumer expectation and they are taking consumer satisfaction as primary goal of their organization. Main objective of present research article is to assess the consumer satisfaction towards maintenance service ,new consumer service ,meter reading service and revenue payment service provided by Nepal Electricity Authority, Kuleshwor branch. This study follows descriptive and analytical research design. Primary data has used in this study. The population for this study is all the consumer of Kuleshwor branch and fifty consumers taken as sample for this study. Questionnaire is the main tools of data collection. For the collection of data five point Likert’s scale has used. Mean, standard deviation and variance have been used as main statistical tool for analysis of data. From this research it is concluded that that overall satisfaction of consumers towards service delivery of NEA Kuleshwor branch is satisfactory but not best.
The practicality of E-Modules based on Problem-Based Learning (Pbl) on the human respiratory system in class Xi (Senior High School 1 Tilango)
Authors: Frida Maryati Yusuf  , Margaretha Solang  , Masra Latjompoh  , Abubakar Sidik Katili  , Mustamin Ibrahim  , Weni Sandra Pobela
Published: July 2024

This research aims to describe the practicality of E-Modules based on Problem-Based Learning (PBL) on human respiratory system material. This research includes quantitative descriptive research. The test subjects in this research involved 18 class XI students at Senior High School 1 Tilango for the 2023/2024 academic year. The E-Module used has been declared valid by 3 validators, content validation with a very valid category in the score range of 81-100%, construct validation with a valid category in the score range of 61-80%, teacher validation with a very valid category in the score range of 81-80%. 100%. Furthermore, to measure the practicality of the E-Module, instruments for implementing teacher activities, student activities, and student responses are used. The results of the research show that the implementation of learning is in the very good category in the score range of 81-100%. Student activities in the good category are in the score range of 61-80%, and student responses in the very decent category are in the score range of 81-100%. Thus, the E-Module based on problem-based learning (PBL) on the human respiratory system can be applied in learning at Senior High School 1 Tilango.
Enhancing mental well-being for parents through competence based curriculum implementation strategies in public day primary schools in Nairobi County, Kenya
Authors: Lornah Irene Ayako  , Stephen Mbugua Ngari  , Stephen Asatsa
Published: July 2024

The Competence-Based Curriculum (CBC) focuses on developing learners' skills and competencies, ensuring a holistic approach to education. Active parental engagement in their children's education is essential, as it not only enhances the academic success of learners but also significantly contributes to the mental well-being of parents. This study aims to explore strategies that may enhance the mental well-being of parents during CBC implementation in public day schools primary in Nairobi County, Kenya. The study adopted a qualitative design and was grounded in the theory of the Epstein model and Cognitive Behavioral Therapy. The target population comprised parents of children enrolled in public day primary schools in Nairobi County. A purposive sampling technique was employed to select a sample size of 12 participants, ensuring a representative distribution across different demographic profiles. Data was collected using in-depth interviews and subjected to thematic analysis. The findings revealed that enhancing parental support during CBC implementation requires a multifaceted approach involving workshops, accessible resources, effective communication, and collaboration from schools. Schools should provide training sessions and online materials to guide parents through the CBC framework while maintaining regular updates on curriculum changes. Additionally, parents' associations may foster community support groups and offer mental health resources, which can alleviate stress for parents. The study also emphasized the role of learners in supporting their parents through effective communication and encouraging independence, promoting a collaborative learning environment essential for the success of CBC.
Correlation of serum anti-mullerian hormone and age-related health problems with ovarian function
Authors: Jacky Zhuoxi Li  , Sea-Yuen Ho  , Preston Corliss Loo  , Chang King Cheung  , Mary, Ngan Bing Cheung  , Wings Tjing Yung Loo
Published: July 2024

The objectives of this paper were to analyse the correlation between serum Anti-Mullerian Hormone (AMH) and age-related health issues affecting ovarian function and explore the current opportunities for this novel technique. This article mainly focuses on reviewing the biological processes involved in the female reproductive system and the clinical basis of the development of technologies for female fertility. The Serum AntiMullerian Hormone (AMH) test is a valuable tool for the assessment of ovarian function. The AMH level of each individual sample is catalysed using a Roche Elecsys AMH analyzer and a chemiluminescence immunoassay (ECLA), which measures the light emission of the serum complex at 450 nm. The results demonstrated a strong association between serum AMH levels and age, establishing its reliability in the prediction of the ovarian reserve as well as reproductive lifespan. However, age is not the sole determinant for fertility. Genetic factors, oocyte quality, uterine thickness and other environmental factors showed a potential linkage with ovarian syndromes, which indicates poor ovarian function. Market expansion, raising awareness of reproductive health, policy support, and technological advancements provide multiple channels for the promotion of AMH test technology. These findings can be used for business planning or studying age-related changes on the AMH test.
Comprehensive In silico Analysis of Antibacterial Compounds in n-Hexane Fraction from Jeruju Leaf (Acanthus ilicifolius)
Authors: Wardani Arief Kusuma , Haresmita Perdana Priya , Alda Mahkota , Vaira Tischa
Published: July 2024

In an emergency, to identify the most promising Hesperidin, Kaempferol-3,4'-di-O-methyl ether (Ermanin); Myricetin-3-glucoside, Peonidine 3-(4’-arabinosylglucoside); Quercetin 3-(2G-rhamnosylrutinoside); and Rhamnetin 3-mannosyl-(1–2)-alloside as a lead compound from Jeruju to develop new drugs from flavonoid analog. The active compound's structure is derived from the PubChem database and improves the stability through ChemDraw v19. The Protein Data Bank website identified the protein macromolecule with PDB code 3VSL. Redocking was performed to ensure validation of 3VSL. The docking method was carried out using the IGEMDOCK software version v2.1. Also, the chimera-1.13.1 program is used to know the interaction profile. The web server pkCSM and Protox II online tool were used to determine the toxicity. 3,7,11,15-tetramethyl-2-hexadecen-1-ol is the juju leaf chemical with the most promise as an antibacterial and the one that shows the maximum binding affinity when taking into account toxicity.
Some Acetophenone Derivatives as Corrosion Inhibitors for Diesel Fuels
Authors: Farzaliyeva Aynur , Maharramov Abel , Mamedov Ibrahim
Published: July 2024

The corrosion inhibition activities 2.4-dimethylasetophenone semicarbazone (1), 2.4-dimethylacetophenone thiosemicarbazone (2), (E)-3-(2-allyloxy)phenyl)-1-(4-hydroxy-2-methylphenyl)prop-2-en-1-one (3), (E,E)-3-(5-bromo-2-hydroxy­phe­nyl)-1-(4-hydroxy-2-methylphenyl)prop-2-en-1-one th­i­­­­o­se­­mi­car­bazone (4) and 3-hydroxy-3-(2-(2-hydroxy-5-methylphenyl)-2-oxoethyl)indolin-2-one (5) have been studied by weight loss measu­rements for mild steel-3 specimen in diesel fuel. The corrosion rates of the steel-3 are decreased with the increase of the carbazones, chalcone, indolinone con­cen­tra­ti­on, while the inhibition efficiencies are increased.
Analysis of Hydroquinone in Face Whitening Cream by UV-Vis Spectrophotometry and GC-MS Spectrometry
Authors: Karnelasatri Karnelasatri , Tahya Candra Yulius , Adila Mahda Uli , Hardy Junius , Munthe Sri Wahyu Ningsih
Published: July 2024

The analytical method to determine the compound content in both food and cosmetic products must be carried out carefully to ensure the validity of the analysis results. Hydroquinone has been widely found to be used as an active whitening agent in whitening cream. Technological advances have led to illegal whitening creams becoming more accessible online. This study aims to examine the hydroquinone content in the whitening samples cream purchased from e-commerce by various analytical methods, such as FeCl3 reagent, cerimetric titration, UV-Vis spectrophotometry, and GC-MS spectrometer compared to the positive control hydroquinone. The results of the hydroquinone content by cerimetric titration and UV-Vis spectrophotometry methods were calculated quantitatively. Furthermore, the result compared through statistical tests showed a consistent hydroquinone content for both methods. Contrariwise, the GC-MS method showed negative results due to differences in the extraction process and solvent solubility. Based on the result obtained, can be concluded that all samples of whitening cream did not meet the requirements of BPOM No. 23 of 2019.
Heavy Metals Analysis of Imported Scomber scombrus Sold by Cold-Rooms in Lagos State of Nigeria
Authors: Ogundele Olusola D. , Okunade Muda B. , Oyegoke David A. , Olulana Caroline O.
Published: July 2024

This research aimed at assessing the heavy metals concentration in imported Scomber scombrus fish samples purchased from cold rooms in Lagos, Nigeria. The samples were digested using the wet digestion method, and the concentration of Chromium (Cr), Arsenic (As), Lead (Pb), and Cobalt (Co) were determined using Atomic Absorption Spectrophotometer. Chromium (Cr) was present in twelve Scomber scombrus samples, and the level ranged from 0.004 to 0.046 mg/kg, while arsenic (As) was present in seven fish samples, with concentrations varying within 0.001 to 0.006 mg/kg. Lead (Pb) was present in eleven samples and not detected in SS5 and SS7. The concentration ranged from 0.004 to 0.062 mg/kg. Cobalt (Co) was present in seven Scomber scombrus samples, the level ranged from 0.004 to 0.046 mg/kg. However, SS3, SS10, and SS13 had lead concentrations above the maximum permissible limit (0.05 mg/kg) recommended by WHO/FAO. This study established the need for Nigerian agencies in charge of food to verify, check and ascertain the safety of imported fish before endorsing them as harmless for citizens' consumption.
Triterpene Compound from Ethyl Acetate Fraction of Kesambi Bark (Schleichera oleosa) and Its Activity as Anti-Bacterial
Authors: Musa Weny J.A. , Setiyandani Kurnia Indah , Mustafid Afif Hidayatul , Bialangi Nurhayati , Situmeang Boima
Published: July 2024

In our earlier study, we managed to find the antibacterial activity of the ethyl acetate fraction of the kesambi bark stem. In our next study, we isolated secondary metabolite compounds from the ethyl acetate fraction of the kesambi stem bark and tested the antibacterial activity of isolates against the bacteria Escherichia coli and Staphylococcus aureus. Separation is carried out by the method of column chromatography. Analysis of stain patterns and purity was performed with thin-layer chromatography (TLC). The test of antibacterial activity was carried out by the Kirby Bauer method. Characterization of pure isolates was performed with IR, 1H -NMR, 13C -NMR and DEPT 135° spectroscopy. The results of the characterization of pure isolates show that the isolated compound is a triterpenoid compound with the name IUPAC compound lup-20(29)-en-3-ol. The results of antibacterial tests showed that the compound lup-20(29)-en-3-ol has antibacterial activity against E. coli and S. aureus which is relatively moderate.
Pengembangan Objek Wisata Pantai Weluan Di Desa Olilit Raya Kecamatan Tanimbar Selatan Kabupaten Kepulauan Tanimbar
Authors: Kadung Gerardus , Lasaiba Mohammad Amin , Sihasale Daniel Anthoni
Published: July 2024

Pengembangan pariwisata kunci pertumbuhan daerah, mendorong perekonomian, dan tingkatkan pendapatan devisa. Peningkatan kunjungan, pertumbuhan usaha pariwisata, dan kontribusi penerimaan devisa bukti efektivitas sektor pariwisata di Maluku. Tantangan seperti konflik kepentingan dan keterhambatan pembangunan infrastruktur menjadi kendala. Upaya pengembangan pariwisata di Maluku perlu terus dilakukan secara berkelanjutan melibatkan pihak swasta dan masyarakat. Ini mendorong pariwisata sebagai pilar utama pembangunan daerah, meningkatkan kesejahteraan masyarakat, dan memberikan kontribusi positif bagi pertumbuhan ekonomi lokal dan nasional. Tujuan utama dari penelitian ini adalah untuk melakukan analisis mendalam dan memberikan rekomendasi pengelolaan terkait pengembangan objek wisata Pantai Weluan di Desa Olilit Raya, Kabupaten Kepulauan Tanimbar. Metode yang digunakan adalah observasi dan wawancara dan data tersebut dirumuskan kedalam analisis SWOT. Hasil penelitian ini adalah Berdasarkan tabel, faktor internal dan eksternal di Pantai Weluan menunjukkan nilai 0,53 dan 2. Rekomendasi strategis harus sesuai dengan kuadran SWOT, memperkuat kekuatan dengan memanfaatkan peluang. Strategi melibatkan dinas pariwisata, penginapan, restoran, agen perjalanan, dan masyarakat. Meningkatkan promosi dengan media sosial, koordinasi lintas sektor, serta meningkatkan kualitas sarana dan prasarana. Dukungan pemerintah desa dan investor lokal, inovasi pengelola dengan menambah atraksi dan event berkala, partisipasi aktif masyarakat dalam promosi dan menjaga kebersihan, sinergi antara pemerintah, pelaku wisata, dan masyarakat kunci keberhasilan Pantai Weluan sebagai destinasi unggul.
Dampak Penambangan Pasir Terhadap Lingkungan Di Desa Tamedan Kecamatan Pulau Dullah Utara Kota Tual
Authors: Ren-El Sridevi , Riry Johan , Lasaiba Mohammad Amin
Published: July 2024

Penelitian ini bertujuan untuk mengetahui dampak dari aktivitas penambangan pasir terhadap lingkungan di Desa Tamedan Kecamatan Pulau Dullah Utara Kota Tual. Metode penelitian ini menggunakan metode deskriptif dengan pendekatan kuantitatif dan langsung dilapangan. Populasi pada penelitian ini adalah masyarakat Desa Tamedan baik yang terlibat langsung dalam penambangan maupun yang terkena dampak penambangan pasir. Variabel dalam penelitian ini terdiri dari kegiatan penambangan pasir (X) dan kerusakan lingkungan (Y). Teknik pengumpulan data dalam penelitian ini dilakukan melalui observasi, wawancara, pengisian kuesioner, dan dokumentasi, sedangkan untuk teknik menganalisis data menggunakan statistik deskriptif dan analisis inferensial. Berdasarkan hasil olahan data diketahui variabel independen  (X) yakni kegiatan penambangan pasir berpengaruh terhadap variabel dependen (Y) yakni kerusakan lingkungan ditentukan berdasarkan nilai signifikan pada hasil analisis regresi linear sederhana diperoleh nilai yakni 0,001 < 0,05 yang berarti bahwa variabel X berpengaruh terhadap variabel Y. Proses saling mempengaruhi yaitu penambangan pasir terhadap kerusakan lingkungan adalah semakin tinggi angka tambang pasir maka semakin tinggi juga kerusakan lingkungan di Desa Tamedan Kecamatan Pulau Dullah Utara Kota Tual.
Semiotika Rolland Barthes dalam Sampul Majalah Tempo dan Implementasinya terhadap Pembelajaran Bahasa Indonesia Kelas XII SMA
Authors: Aini Nur , Khaerunnisa Khaerunnisa
Published: July 2024

ABSTRAK
Sampul majalah Tempo memiliki daya tarik yang dapat diteliti dengan mengunakan teori semiotika salah satunya teori Rolland Barthes. Dengan ini, tujuan penelitian yaitu memberikan deskripsi tentang fakta dan opini melalui kajian semiotika yang termuat dalam sampul majalah Tempo dan mengimplementasikan semiotika Rolland Barthes yang termuat dalam sampul majalah Tempo ke dalam fakta dan opini terhadap pembelajaran teks esai. Metode penelitian yang digunakan yaitu metode deskriptif kualitatif dan menjadikan teori semiotika sebagai dasar penelitian. Teori Rolland ini akan mengkaji penanda dan petanda dikaitakn dengan denotasi dan konotasi serta mitologi. Terdapat 6 (enam) sampul majalah yang diteliti dengan semiotika Rolland Barthes terdiri dari setiap sampul majalah yang mewakili satu bulan (Oktober 2023 sampai Maret 2024) dengan potongan penanda dan petanda serta denotasi dan konotasi (mitologi) di dalamnya. Dengan ini, sampul majalah akan diimplementasikan dalam pembelajaran bahasa Indonesia materi esai kelas XII dengan tujuan pembelajaran yaitu menyimpulkan bacaan dengan tampilan grafis.
Kata kunci: Semiotika, Sampul majalah, Teks esai
 
ABSTRACT
The cover of Tempo magazine can be analyzed using Roland Barthes' semiotics theory. This research aims to describe facts and opinions through semiotic analysis of Tempo magazine covers and apply Barthes' theory to essay text learning. The qualitative descriptive method is used, with semiotic theory as the foundation. Barthes' theory examines the signifier and signified in relation to denotation, connotation, and mythology. Six magazine covers, each representing a month (October 2023 to March 2024), will be analyzed using Barthes' semiotics, focusing on signifiers, signifieds, denotations, and connotations (mythologies). These magazine covers will be utilized in teaching Indonesian essay writing to twelfth-grade students, aiming to summarize readings through graphical representations.
Keyword: Semiotics, Magazine cover, Essay text
Influence of abiotic factors of the spring-summer period on the formation of economically valuable traits of sweet cherry varieties (Сerasus avium L.) in the conditions of southern Russia
Authors: Y.A. Dolya ,   Federal State Budget Scientific Institution «North Caucasian Federal Scientific Center of Horticulture, Viticulture, Wine-making», Krasnodar, Russia
Published: July 2024

Abstraсt. This paper shows a variation in the yield of 11 studied sweet cherry varieties from a minimum value of 5 kg/tree in 2020 (Dar izobilya variety) to a maximum of 65.0 kg per tree in 2021 (Kavkazskaya variety), which was more dependent on the weather conditions of the growing season. In this regard, the aim of the research is to study the biological features of the formation of indicators of yield and quality of fruits of Russian and introduced varieties of sweet cherries, and related weather and climatic factors. By means of statistical evaluation, the coefficient of variation was established, which was high for all varieties – from 63.1 % to 97.3 %, which indicates strong fluctuations in yield during the study period (2019-2023). The indicator "fruit weight" is a varietal feature, therefore it does not vary much by year of observation within each variety. Thus, the coefficient of variation in the studied varieties ranged from 2.7 % (Sashenka variety) to 15.8 % (Kavkazskaya variety). By varieties, this indicator varied quite strongly from the lowest value in 2022 of 4.3 g (Kavkazskaya variety) to the highest 10.3 g in 2022 (Krupnoplodnaya variety). According to the results of the study, the varieties that are least affected by climatic factors were identified, which had an average yield of 31.5-35.2 kg per tree over 5 years of study, subject to the almost complete absence of fruits in 2020 these include – Alaya, Volshebnitsa and Dar Isobiliay. A correlation has been established between the studied breeding-valuable indicators and various abiotic factors influencing their formation. The yield index had a high correlation with the average annual air temperature R2 = 0.60 and the amount of precipitation in April – R 2 = 0.60. The fruit weight indicator was most dependent on the average monthly temperature in June, in this case the correlation coefficient was – R 2 = 0.80, as well as the amount of precipitation for the year – R 2 = 0.54. Keywords: variety, sweet cherry, abiotic factors, yield, productivity, fruit weight. Financing source: The research was carried out within the State Task of Ministry of Science and Higher Education of the Russian Federation for the FSBSI NCFSCHVW.
Pemantauan Tingkat Bisphenol A (BPA) dalam Air Sumur sebagai Indikator Pencemaran Lingkungan
Authors: Kusuma Sari Mustika , Yogana Ridwan Andri
Published: July 2024

Kawasan urban sering kali menghadapi tantangan pencemaran lingkungan yang lebih besar dibandingkan daerah pedesaan, terutama karena kepadatan populasi yang tinggi, aktivitas industri, dan kurangnya sistem pengelolaan limbah yang efektif (Huang et al., 2012). Air sumur, yang sering digunakan sebagai sumber air minum di banyak daerah urban, rentan terhadap kontaminasi oleh berbagai polutan, termasuk Bisphenol A (BPA). Penelitian ini bertujuan memantau tingkat BPA dalam air sumur di kawasan urban sebagai indikator pencemaran lingkungan Sampel air sumur dari beberapa lokasi strategis dianalisis menggunakan spektroskopi UV-Vis, teknik yang efektif dalam mendeteksi dan mengukur kadar BPA dalam air. Hasilnya menunjukkan variasi konsentrasi BPA berdasarkan lokasi. Misalnya, di Pakem konsentrasi BPA berkisar antara 0.68 hingga 1.91 mg/L, di Ngemplak antara 0.27 hingga 3.55 mg/L, dan di Ngaglik antara 1.37 hingga 1.91 mg/L. Tidak ditemukan pola langsung yang menghubungkan konsentrasi BPA dengan jumlah penduduk. Variasi ini kemungkinan disebabkan oleh faktor lingkungan, aktivitas industri, atau kebiasaan konsumsi masyarakat urban. Meskipun beberapa lokasi memiliki konsentrasi BPA yang masih berada di bawah batas aman cemaran BPA menurut USEPA, hasil penelitian ini menekankan pentingnya pemantauan dan pengelolaan risiko kesehatan yang terkait dengan pencemaran BPA di kawasan urban.
Дослідження ефективності функціонування Site-to-Site VPN в умовах затримок в електронних комунікаційних мережах
Authors: Комін Д. С. , Шульга В. В. , Лєбєдєв В. О. , Коцюба В. П.
Published: July 2024

В роботі проведено дослідження ефективності роботи VPN різних типів в умовах затримок в електронних комунікаційних мережах. Розроблено та описано методику проведення досліджень, яка передбачає внесення затримки в тестову мережу та оцінку показників пропускної спроможності, втрати пакетів та джитера в каналах зв’язку, утворених за допомогою Site-to-Site VPN типу SSTP, L2TP/IPSec, OpenVPN та Wireguard. В якості обладнання для побудови каналів VPN було використано маршрутизатори MikroTik двох типів з різними технічними характеристиками. За результатами проведених досліджень наведено порівняльну характеристику ефективності функціонування VPN в умовах затримок в електронних комунікаційних мережах та їх залежність від продуктивності маршрутизатора.
Development of the Multi-Channel Clustering Hierarchy Method for Increasing Performance in Wireless Sensor Network
Authors: Rizky Robby , Hakim Zaenal , Setiyowati Sri , Susilawati Susilawati , Yunita Ayu Mira
Published: July 2024

Wireless Sensor Networks are technologies that make it possible to observe phenomena. The problem is data delays in covering the distance from the origin to the destination. Packet Loss is a condition that shows the number of lost packets and the total queue length caused by data processing time. This research aims to develop a cluster-based protocol. This research uses a multichannel hierarchical clustering method and adds odd-even by dividing the network into several channels and forming a cluster head for each channel. The results of this research are Channel 1 with a throughput value of 1.88, channel 2 with a throughput value of 21.68, channel 3 with a throughput value of 1.62, and channel 4 with a throughput value of 42.44. The conclusion of this study is that the throughput results are smaller compared to the Multi-Channel Clustering H ierarchy method, because not all nodes are active
Multiclass Text Classification of Indonesian Short Message Service (SMS) Spam using Deep Learning Method and Easy Data Augmentation
Authors: Latifah Nurun , Dwiyansaputra Ramaditia , Nugraha Gibran Satya
Published: July 2024

The ease of using Short Message Service (SMS) has brought the issue of SMS spam, characterized by unsolicited and unwanted. Many studies have been conducted utilizing machine learning methods to build models capable of classifying SMS Spam to overcome this problem. However, most of these studies still rely on traditional methods, with limited exploration of deep learning-based approaches. Whereas traditional methods have a limitation compared to deep learning, which performs manual feature extraction. Moreover, many of these studies only focus on binary classification rather than multiclass SMS classification which can provide more detailed classification results. The aim of this research is to analyze deep learning model for multiclass Indonesian SMS spam classification with six categories and to assess the effectiveness of the text augmentation method in addressing data imbalace issues arising from the increased number of SMS categories. The research method used were Indonesian version of Bidirectional Encoder Representations from Transformers (IndoBERT) model and exploratory data analysis (EDA) augmentation technique to address imbalance dataset issue. The evaluation is conducted by comparing the performance of the IndoBERT model on the dataset and applying EDA techniques to enhance the representation of minority classes. The result of this research shows that IndoBERT achieves 91% accuracy rate in classifying SMS spam. Furthermore, the use of EDA technique results in significant improvement in f1-score, with an average 12% increase in minority classes. Overall model accuracy also improves to 93% after EDA implementation. This research concludes that IndoBERT is effective for multiclass SMS spam classification, and the EDA is beneficial in handling imbalanced data, contributing to the enhancement of model performances.
K-Means Optimization Algorithm to Improve Cluster Quality on Sparse Data
Authors: Waode Yully Sofyah , Kurnia Anang , Angraini Yenni
Published: July 2024

The aim of this research is clustering sparse data using various K-Means optimization algorithms. Sparse data used in this research came from Citampi Stories game reviews on Google Play Store. This research method are Density Based Spatial Clustering of Applications with Noise-Kmeans (DB-Kmeans), Particle Swarm Optimization-Kmeans (PSO-Kmeans), and Robust Sparse Kmeans Clustering (RSKC) which are evaluated using the silhouette score. Clustering sparse data presented a challenge as it could complicate the analysis process, leading to suboptimal or non-representative results. To address this challenge, the research employed an approach that involved dividing the data based on the number of terms in three different scenarios to reduce sparsity. The results of this research showed that DB-Kmeans had the potential to enhance clustering quality across most data scenarios. Additionally, this research found that dividing data based on the number of terms could effectively mitigate sparsity, significantly influencing the optimization of topic formation within each cluster. The conclusion of this research is that this approach is effective in enhancing the quality of clustering for sparse data, providing more diverse and easily interpretable information. The results of this research could be valuable for developers seeking to understand user preferences and enhance game quality.
DynamicWeighted Particle Swarm Optimization - Support Vector Machine Optimization in Recursive Feature Elimination Feature Selection
Authors: Sya'idah Irma Binti , Surono Sugiyarto , Khang Wen Goh
Published: July 2024

Feature Selection is a crucial step in data preprocessing to enhance machine learning efficiency, reduce computational complexity, and improve classification accuracy. The main challenge in feature selection for classification is identifying the most relevant and informative subset to enhance prediction accuracy. Previous studies often resulted in suboptimal subsets, leading to poor model performance and low accuracy. This research aims to enhance classification accuracy by utilizing Recursive Feature Elimination (RFE) combined with Dynamic Weighted Particle Swarm Optimization (DWPSO) and Support Vector Machine (SVM) algorithms. The research method involves the utilization of 12 datasets from the University of California, Irvine (UCI) repository, where features are selected via RFE and applied to the DWPSO-SVM algorithm. RFE iteratively removes the weakest features, constructing a model with the most relevant features to enhance accuracy. The research findings indicate that DWPSO-SVM with RFE significantly improves classification accuracy. For example, accuracy on the Breast Cancer dataset increased from 58% to 76%, and on the Heart dataset from 80% to 97%. The highest accuracy achieved was 100% on the Iris dataset. The conclusion of these findings that RFE in DWPSO-SVM offers consistent and balanced results in True Positive Rate (TPR) and True Negative Rate (TNR), providing reliable and accurate predictions for various applications.
Analsis Kemampuan Peserta Didik pada Sumatif Akhir Semester (SAS) Menggunakan Pendekatan Item Response Theory (IRT) Berbantuan Modular Object-Oriented Dynamic Learning Environment (MOODLE)
Authors: Prabaningtias Dea Arsi , Arman Daly
Published: July 2024

This article aims to determine the quality of instruments and the ability of end-of-semester summative learners in science subjects’ grade 7 at MTsN 1 Ketapang using the Item Response Theory (IRT) approach assisted by Modular Object-Oriented Dynamic Learning Environment (MOODLE). Respondents involved in this study were 287 learners with 25 question items. The application used for item response theory is Software Quest. The results of the analysis using Quest Software show that the reliability reliability is very high, validity is good, and the level of difficulty is good. Based on the analysis using item response theory, teachers can know the quality of the assessment of the questions developed and the ability of students. The use of analysis with item response theory is recommended to be used by every teacher to help teachers in knowing the quality of the assessment questions developed and the ability of students. every teacher so that it can help teachers in knowing the quality of the assessment instrument and the ability of student.
DEVELOPMENT OF CONSTRUCTIVE DESIGN OF PICKLING UNITS FOR OPERATION IN HIGHLY AGGRESSIVE HOT SULPHURIC ACID SOLUTIONS
Authors: Berezyuk A.M. , Hannyk M.I. , Martysh O.P. , Papirnyk R.B. , Martysh O.O.
Published: July 2024

Problem statement. Technological process of metallurgical, pipe-rolling, chemical and other enterprises includes chemical treatment of metal products by pickling in hot (60–80 °C) sulphuric acid solutions with a concentration of 20–22 %. This treatment method is conducted in the pickling departments of enterprises in special containers (pickling units). Pickling solution of the specified concentration and temperature is a highly aggressive environment for all building structures made of traditional materials. Existing pickling units for chemical treatment of metal products do not ensure reliability and durability and are destroyed after 1-2 years of operation. Therefore, ferrous metallurgy enterprises that have pickling departments for chemical treatment of metal structures are classified as enterprises with a highly aggressive environment and their design should be developed with these conditions under consideration. The purpose of the work: Searching for and implementing mechanisms to improve the resistance of polymer concrete in aggressive environments in production. The object of research – is furan resins modified polymer concrete. The subject of the research – investigation of the particularities and improvement of constructive design for pickling baths made of materials based on polymer concrete in an aggressive environment and its implementation in production. Main part. Development of constructive design for technological pickling units made of structural corrosion-resistant material (furan resins modified polymer concrete). Conclusions. Pickling of metal products at ferrous metallurgy enterprises is conducted in highly aggressive hot sulphuric acid solutions of 20–25 % concentration at a temperature of 60–80 °C. Under the conditions of constant exposure to highly aggressive hot sulphuric acid solutions, even protection with chemically resistant materials does not ensure the required reliability and durability. To manufacture such structures, a new structural material is needed that combines chemical resistance with strength and durability. This material is a structurally chemical-resistant polymer concrete based on thermoset furan resins, which have high strength and universal chemical resistance, allowing us to solve the problem of reliability and durability of technological units for chemical treatment of metal structures at ferrous and non-ferrous metallurgy enterprises in a fundamentally new way. New constructive design for pickling units made of reinforced polymer concrete was developed in conjunction with shock-absorbing bars and an improved ventilation system, consisting of individual elements of full factory readiness weighing no more than 5 tonnes, which allows them to be transported and installed in operating pickling workshops using existing mechanisms.
DEVELOPMENT OF MODELS COMPLEX OSCILLATIONS FOR AUTOMATION SYSTEMS OF VIBROACOUSTIC OPERATIONAL SAFETY CONTROL OF BUILDINGS AND STRUCTURES
Authors: Bielikov A.S. , Yalanskyi O.A. , Barabanov S.S. , Slashchova O.A. , Ikonnikov M.Yu.
Published: July 2024

Problem statement. Long-term safe operation of buildings and structures is impossible without determining the stability of their load-bearing elements, especially after shocks and dynamic loads under the influence of explosions and fires. In such conditions, reliable and productive monitoring of the reliability of buildings and structures is a critical element in increasing human safety. Vibroacoustic is an effective and informative method that allows for non-destructive assessment of the condition of concrete, reinforced concrete, brick, multi-layer walls and other types of structures. However, to increase the speed and quality of determining the state of objects, maximum automation of the vibroacoustic method is required. Purpose of the study. Increasing the productivity and reliability of vibroacoustic monitoring of buildings and structures by automating the impact action with specified parameters based on the development of dynamic models of complex oscillations. Methods. Analytical studies of dynamic and kinematic models of the exciter of mechanical vibrations, computer modeling, laboratory tests of the vibration generator control system. Research results. Models of complex oscillations have been developed to improve reliability and implement new control laws that are impossible for classical vibration systems and are necessary for automated vibroacoustic control of buildings and structures and ensure the safety of their operation. The use of reduced bit depth coefficients in the calculation scheme using the Jack W. Crenshaw algorithm is justified in a wider range of argument values than with initial coefficient values for controlling vibration systems with limited computational performance. This is necessary when creating executive bodies of modern systems for automated vibroacoustic monitoring of the cracks and violations of the homogeneity of load-bearing structures of buildings and structures. The oscillation exciter has been tested in laboratory conditions. Scientific novelty. New methods and algorithms for automatic control of vibration exciters have been developed to obtain polyfrequency oscillations, linear waves and wave fields with specified amplitude and frequency characteristics. Practical significance. An oscillation exciter has been developed for a system of automated vibroacoustic control of the buildings and structures operation safety. This provides a necessary and sufficient basis for improving methods for assessing changes in the environment as a result of the appearance of cracks and loss of homogeneity.