bluuebunny/crossref_metadata_2025_split huggingface dataset:
EFEKTIVITAS MEDIA PEMBELAJARAN AUDIO VISUAL PADA HASIL BELAJAR SISWA KELAS V SDN 2 WALAHAR
Authors: Kirani Fuji , Guntur Mochamad 
Published: July 2023

A low classification of fifth-grade students at SDN 2 Walahar’s outcomes and the limited utilization and application of diverse learning media in teaching and learning activities, particularly in scientific learning, served as the impetus for this study. This study aims to find the effectiveness of audio-visual-based media on student learning outcomes. With a one group pre-test and post-test design. 30 students in the fifth grade at SDN 2 Walahar made up the study's population. According to findings of the research, audio-visual learning materials are used by fifth graders at SDN 2 Walahar to improve their learning outcomes. This is demonstrated by the class V students at SDN 2 Walahar receiving an average score of 75.03 on the scientific portion of the pre test and an average score of 80.83 on the science portion of the post-test. The Paired Sample t-test showed a significant value of 0,000 in the research findings. The decision outcome of this study is that Ho is rejected while Ha is accepted because 0,000 is 0,005. The studying findings support the idea that audio-visual learning materials can enhance fifth graders at SDN 2 Walahar's academic performance. This is demonstrated by the fact that, whereas grade V student learning outcomes tend to be acquired at a lower rate during the pre-test implementation phase than they do during the post-test phase, respectively.
PENGARUH PEMBELAJARAN BERBASIS ADAPTASITEKNOLOGI TERHADAP MOTIVASI BELAJAR SISWA DI SD INPRES BORONG JAMBU II
Authors: Supardi R , Khaedar Muh 
Published: July 2023

Metode Pembelajaran Berbasis Adaptasi Teknologi Terhadap Motivasi Belajar Siswa SD Inpres Borong Jambu II.Penelitianinibertujuanuntukmengetahui pengaruh metode pembelajaran berbasis adaptasi teknologi terhadapmotivasi belajar siswa pada kelas V/B SD Inpres Borong Jambu II Kota Makassar. PenelitianinimerupakanpenelitianeksperimenPre- Eksperimental dengan menggunakan pendekatan kuantitatif. Sampel penelitianiniialahkelas V/B SD Inpres Borong Jambu II yang berjumlah30 orang.Instrumenpenelitianyang digunakan yaitulembarobservasidan angket penguatan motivasi belajar siswa.Setelahmenganalisis data, penulismenemukanbahwaketerlaksanaan padametode pembelajaran berbasis adaptasi teknologidenganskornilai 3,5dalamkategori sangat baik dan aktivitas siswa dengan skor nilai 3,4 dalam kategori baik. Adapun skornilaipretestpada responsiswamenggunakanmetode pembelajaran berbasis adaptasi teknologi sebesar73,23 dan nilai posttestresponsiswa pada metode pembelajaran berbasis adaptasi teknologi denganskor88.20. Sehingga dapat disimpulkan motivasi belajar siswa pada kelas V/B SD Inpres Borong Jambu II Kota Makassar dengan menggunakan metode pembelajaran berbasis adaptasi teknologi sangat berpengaruh. Kata kunci:Metode pembelajaran berbasis adaptasi teknologi, motivasi belajar siswa
A Critical Review of the Relationship Between Environmental Performance Index, Financial Development and Economic Growth
Authors: Almarafi Bilal , Khudari Mohamed , Abdullah Azlina 
Published: July 2023

Purpose: Through a literature review, this study aims to understand the relationship between the Environmental Performance Index (EPI), Financial Development, and Economic Growth. In order to provide a complete understanding of the impact of EPI and Financial Development on Economic Growth, the authors propose a conceptual framework based on empirical data. In order to expand knowledge in this field, the study also seeks to identify gaps in the literature and recommend new lines of inquiry.

Design/Methodology/Approach: This study conducts an extensive literature analysis emphasizing publications between 2018 and 2022. The literature of developed, developed-group, and developing countries will be thoroughly and a comprehensive and systematic literature review will be conducted to meet the goals of this study. However, a qualitative method will help us better understand how EPI and financial development affect economic growth and sustainable development because the results and conclusions of empirical investigations need to be more consistent.

Findings: The study concluded that environmental performance and sustainability are essential for achieving economic growth and development in industrialized countries, and policymakers should give top priority to settling carbon costs and taxes, commercializing low-CO2 emissions technologies, cutting non-renewable energy subsidies, offering technology transfer programs, and developing a green trade policy. The study also emphasized the potential of sustainable financial systems and renewable energy to lower emissions and promote economic growth in developing nations. However, successful policies and investments in green technologies are required to achieve this balance.

Practical implication: This study has practical implications for policymakers who must prioritize sustainable development goals in their economic policies. This includes promoting renewable energy, reducing carbon emissions, and implementing green trade policies. The study highlights the critical role of government policies in promoting sustainable economic growth, particularly the EPI and Financial Development.

Originality/Value: This study's originality and value lie in its examination of the complex relationship between environmental sustainability, financial development, and economic growth across different countries and regions. The study emphasizes the role of government policies, specifically the EPI and Financial Development, in promoting sustainable economic growth and provides practical implications for policymakers. The study also highlights the need for further research to identify effective policies for promoting sustainable economic growth.
Accounting Information and Stock Price of Consumer Good Companies Listed in Vietnam Stock Market in COVID Time
Authors: Thanh Quy Tran Thi , Van Tan Mai , Viet Cuong Pham , Thao Nguyen Nguyen Thi , Hoai Nam Nguyen , Doan Trang Le Ngoc 
Published: July 2023

Purpose: The study's objective is to find more empirical evidence on the relationship between accounting information on financial statements and stock prices of consumer good companies listed on the Vietnamese stock market in Covid time.

Theoretical framework: Follow efficient market theory, in an efficient market, the actual price will immediately reflect new information about the intrinsic value of the firm, based on the idea that stock market prices will reflect public information available on the market (including financial information of enterprises).

Design/Methodology/Approach: The sampling method was used to from 2019 to 2021 (the period when the Vietnamese and world economies were severely affected by the Covid-19 epidemic) through the analysis of OLS, FEM, REM, and GLS models and Stata17 software.

Findings: The results show that DPS and EPS are two of the factors that have the most positive influence on stock prices during this period, while ROE is an indicator that harms companies' stock prices.

Research, practical & social implications: Therefore, future studies regarding sample size and research space can be more extensive. In addition, it is possible to measure accounting information and stock prices by other statistical methods or other indicators to improve further the theoretical framework in the relationship between accounting information and stock price.

Originality/Value: Thereby helping investors, businesses, and policymakers better understand the accounting information's role in the capital market, offering appropriate business and regulatory solutions to improve market efficiency.
Pupilometri Dinamis untuk Mengukur Respons Pupil sebagai Pendeteksi Dini Demensia pada Lansia
Authors: WAHYUDI CELINE GABRIELLA , LUKAS LUKAS , BUDIYANTA NOVA EKA 
Published: July 2023

ABSTRAKPupilometri merupakan metode pengukuran respons pupil terhadap stimulus. Kemampuan pupil mata dalam merespons cahaya diamati melalui pupillary light response (PLR). Penelitian mendapati PLR pasien demensia berbeda dengan pasien normal. Penelitian ini bertujuan merancang algoritma computer vision yang dapat mendeteksi pupil secara akurat, menampilkan respons pupil terhadap cahaya dalam bentuk grafik dan PLR pada sebuah aplikasi desktop, yang mengendalikan goggles berisi rangkaian kamera, pencahayaan, dan sensor jarak VL53L0X. Rekaman diproses dengan Local Binary Pattern (LBP) dan deteksi kontur untuk mendeteksi pupil. Data pengukuran diproses dan disimpan pada basis data lokal dan aplikasi web, sehingga tenaga medis dapat menentukan ada atau tidaknya gejala demensia pada pasien lansia. Tingkat ketelitian algoritma pengukuran pupil sebesar 73,33% yang didapatkan dari 30 kali pengujian.Kata kunci: computer vision, demensia, deteksi dini, pupillary light response, pupilometri ABSTRACTPupillometry is a method of measuring the pupil’s response towards stimulus. Pupil response to light is observed through pupillary light response (PLR). Research found that PLR values of patients suffering from dementia differ from that of normal patients. This study implements a computer vision algorithm that accurately detects the pupil, calculates, and shows its response towards light in graphs and PLR values on a desktop application which controls goggles that contain a camera, lighting setup, and the VL53L0X distance sensor. Video is processed using Local Binary Pattern (LBP) and contour detection to detect the pupil. Results are processed and saved in the local and web database, so experts can determine the presence of dementia symptoms in the elderly patient. The accuracy of the pupil detection algorithm is 73,33%, as obtained from 30 tests.Keywords: computer vision, dementia, early detection, pupillary light response, pupillometry
Clustering Suara Corona Discharge berdasarkan Tegangan menggunakan Metode Fuzzy C-Mean
Authors: FIKRI MIFTAHUL , CHRISTIONO CHRISTIONO , MULYANA K. IWA GARNIWA , MAURIRAYA KARTIKA TRESYA , PASRA NURMIATI , SAMSURIZAL SAMSURIZAL , ROMADHONI MUHAMMAD LUTHFIANSYAH , THAHARA ANDI AMAR 
Published: July 2023

ABSTRAKCorona discharge (CD) atau peluahan permukaan merupakan faktor kegagalan isolasi pada sistem kelistrikan yang dipengaruhi oleh kondisi lingkungan tidak menentu dan perlu pemantauan secara terkini. CD menghasilkan gelombang suara yang digunakan sebagai parameter untuk langkah awal mencapai tujuan tersebut, penelitian ini mengkluster suara CD pada terminasi kubikel 20 kV. Penelitian menggunakan elektroda jarum-jarum berjarak 3 cm. Tercatat nilai sebelum breakdown voltage terjadi pada tegangan 33,4 kV, dan pengambilan data terbagi 3 klaster: 20-24 kV, 25-29 kV, 30-33 kV. Proses klasterisasi dengan metode LPC untuk menghasilkan ekstraksi suara. Kemudian menggunakan metode fuzzy c-mean untuk memperoleh akurasi dengan membandingkan pola suara training dan testing. Pada Kelembapan berkisar 70%-95% dengan suhu antara 27,5°C - 35.3°C diperoleh hasil akurasi 96,00% untuk data training dan 80,00% untuk data testing.Kata kunci: Corona discharge, fuzzy c-mean, linear predictive coding, kegagalan isolasi ABSTRACTCorona discharge (CD) is a factor in insulation failure in electrical systems, which is affected by uncertain environmental conditions and requires up-to-date monitoring. CD which produces sound waves, is used as a parameter for the initial step to achieve this goal. This research will cluster CD sounds at 20 kV cubicle terminations. The study used electrode needles spaced 3 cm apart. The value recorded before the breakdown voltage occurred was 33.4 kV, and data collection was divided into 3 clusters: 20–24 kV, 25–29 kV, and 30-33 kV. The clustering process with the LPC method produces sound extraction. Then use the fuzzy C-mean method to obtain accuracy by comparing trained and tested sound patterns. At a humidity range of 70%–95% and temperatures between 27.5°C–35.3°C, the results obtained an accuracy of 96.00% for training data and 80.00% for testing data.Keywords: Corona discharge, fuzzy c-mean, linier predictive coding, insulation failure
Analisis Arsitektur Jaringan Syaraf Tiruan-Multilayer Perceptron untuk Efektivitas Estimasi Beban Energi Listrik PT. PLN (Persero) UP3 Salatiga
Authors: SAPUTRA RONI , SUNARDIYO SAID , NUGROHO ANAN , SUBIYANTO SUBIYANTO 
Published: July 2023

ABSTRAKPT PLN (Persero) UP3 Salatiga merupakan perusahaan penyedia energi listrik enam kabupaten di Jawa Tengah. Agar energi listrik yang mengalir ke pelanggan handal dan ekonomis, penyesuaian antara supply dan demand penting untuk dilakukan. Hal ini bisa dilakukan dengan perencanaan operasi sistem tenaga listrik dalam bentuk estimasi beban energi listrik. Pada penelitian ini, estimasi dilakukan dengan jaringan syaraf tiruan-multilayer perceptron. Sejumlah variasi jumlah layer dan node pada arsitektur perceptron diuji-cobakan untuk mendapatkan performa estimasi yang terbaik. Dari penelitian ini, diperoleh arsitektur terbaik yaitu TRAINGDA 4 hidden layer dengan 20 node hidden layer, dengan nilai MAPE sebesar 2.79% tahap training, serta nilai MAPE sebesar 3.24% tahap testing. Hasil ini mengindikasikan bahwa metode jaringan syaraf tiruan-multilayer perceptron lebih akurat sebagai estimator beban energi listrik PT PLN (Persero) UP3 Salatiga.Kata kunci: estimasi, estimasi beban, energi listrik, multilayer perceptron ABSTRACTPT PLN (Persero) UP3 Salatiga is an electricity provider company for 6 districts in Central Java. To ensure reliable and economical electricity supply to customers, adjustment between supply and demand is important to be conducted. This can be achieved through planning of power system operation in the form of electricity load estimation. In this study, estimation was performed using artificial neural network-multilayer perceptron. Several variations of the number of layers and nodes in the perceptron architecture were tested to obtain the best estimation performance. From this study, the best architecture was obtained with TRAINGDA 4 hidden layers and 20 hidden layer nodes, resulting in MAPE value of 2.79% in the training phase and 3.24% in the testing phase. These results indicate that artificial neural network-multilayer perceptron method is more accurate as an estimator of electricity load for PT PLN (Persero) UP3 Salatiga.Keywords: estimation, load estimation, electrical energy, multilayer perceptron
Klasifikasi Warna pada Kematangan Buah Kopi Kuning menggunakan Metode CNN Inception V3
Authors: UNGKAWA UUNG , HAKIM GALIH AL 
Published: July 2023

ABSTRAKKopi kuning adalah varietas kopi yang berciri khas berwarna kuning saat matang. Permasalahan muncul saat petani tidak sengaja memanen kopi yang masih belum matang sempurna karena warna kopi kuning yang matang berbeda dari kopi lainnya. Penelitian ini menggunakan metode CNN Inception V3 yang merupakan metode deep learning untuk menentukan kematangan buah kopi kuning. Ada permasalahan yakni kurangnya dataset. Dengan teknik augmentasi dan transfer learning permasalahan tersebut dapat diatasi dengan memperoleh model yang baik. Dengan menggunakan label yaitu mentah, setengah matang, matang, dan total 1380 dataset citra buah kopi yang dipecah menjadi 984 citra untuk training, 246 citra untuk validasi dan 150 citra buah kopi untuk testing, didapatkan nilai akurasi metode CNN Inception V3 sebesar 92.00%.Kata kunci: Kopi Kuning, CNN Inception V3 ABSTRACTYellow coffee is a variety of coffee that is distinctive, which has a yellow color when ripe. Problems arise when farmers accidentally harvest coffee that is not fully ripe yet because the color of ripe yellow coffee is different from other coffees. This study used the CNN Inception V3 method, which is a deep learning method for determining the ripeness of yellow coffee cherries. There is a problem, namely the lack of datasets. With augmentation techniques and transfer learning these problems can be overcome by obtaining a good model. By using three labels, namely raw, half-ripe, and ripe, and a total of 1380 coffee bean image datasets broken down into 984 images for training, 246 images for validation and 150 coffee bean images for testing, the accuracy value of the CNN Inception V3 method is 92.00%.Keywords: Yellow Coffee, CNN Inception V3
Pengendalian Arus pada Inverter Lima Tingkat Penaik dan Penurun Tegangan
Authors: PRATOMO LEONARDUS HERU , CHRISTIAWAN HAPPY DIPTYA EKA 
Published: July 2023

ABSTRAKPenggunaan inverter terkendali arus pada sistem integrasi dengan jala-jala memiliki beberapa kendala seperti nilai tegangan masukan inverter harus melebihi tegangan pada jala-jala, ditambah lagi terdapat gangguan harmonisa pada frekuensi pensaklaran inverter yang dapat menginterferensi jala-jala. Penggunaan inverter lima tingkat yang digabung dengan AC-AC boost diajukan pada makalah ini untuk mengeliminasi gangguan harmonisa dan mampu menghasilkan nilai tegangan yang lebih tinggi dari pada nilai tegangan masukan. Dengan begitu konverter yang diajukan mampu bekerja sebagai penaik dan penurun tegangan. Konverter yang diajukan menggunakan satu buah sumber DC dan menerapkan metode arus keluaran yang terkendali sebagai dasar dalam penyuntikan arus ke jala-jala untuk riset ke depan. Konverter yang diajukan mampu menghasilkan nilai Total Harmonic Distortion (THD) sebesar 2,6% dan memenuhi standar IEEE Std 519-2014 yaitu kurang dari 5%.Kata kunci: inverter lima tingkat , kendali arus, penaik dan penurun tegangan, THD, penyuntikan arus ke jala-jala ABSTRACTThe use of grid connected current-controlled inverters has several constraints such as the input voltage value of the inverter must exceed the voltage on the grid, plus there are harmonic disturbances at the inverter switching frequency which can interfere with the grid. The use of a five-level inverter combined with AC-AC boost is proposed in this article to eliminate harmonic disturbances and be able to produce a higher voltage value than the input voltage value. Thus the proposed converter is able to work as a buck and boost voltage. The proposed converter uses a single DC source and applies a controlled output current method as a basis for injecting current into the grid for future research. The proposed converter is capable of producing a Total Harmonic Distortion (THD) value of 2.6% and meets the IEEE Std 519-2014 standard, which is less than 5%.Keywords: five-level inverter, current controlled, buck-boost inverter, THD, current injection
Studi Kelayakan Pembangkit Listrik Tenaga Hybrid Surya Bayu di Kota Bandung
Authors: HADIATNA FEBRIAN , FAUZIAH DINI , SYAHIRAH ELISA 
Published: July 2023

ABSTRAKPada penelitian ini dilakukan analisis studi kelayakan potensi pembangkit listrik tenaga hybrid dengan sumber energi terbarukan surya dan bayu untuk skala rumah tangga di daerah kota Bandung. Beban yang digunakan sebesar 4896Wh setiap harinya. Analisis dilakukan dengan menggunakan aplikasi HOMER untuk menentukan nilai investasi dari PLTH yang dirancang serta produksi energi listrik yang dihasilkannya. Hasil dari penelitian ini adalah sistem pembangkit listrik hybrid mampu menghasilkan daya sebesar 2.313 kWh/tahun dengan perbandingan 48,7% dari sumber energi angin, 20,8% dari sumber energi surya, serta 9,7% sumber PLN. Nilai investasi dari sistem tersebut adalah Rp 32.910.770 untuk NPC, dengan IRR yang dihasilkan adalah 13%. Berdasarkan hasil analisis studi kelayakan tersebut, maka investasi yang digunakan pada sistem hybrid ini tidak rugi dan layak untuk direalisasikan.Kata kunci: PLTH, studi kelayakan, HOMER, surya, bayu. ABSTRACTIn this research, an analysis of the feasibility study of potential hybrid power plants with solar and wind renewable energy was carried out for household scale in Bandung city. The load used is 4896Wh every day. The analysis was carried out using the HOMER application to determine the investment value of the designed PLTH and the production of the electrical energy it produces. The result of this research is that the hybrid power generation system is capable of producing a power of 2313 kWh/year with a ratio of 48.7% from wind energy sources, 20.8% from solar energy sources, and 9.7% from PLN sources. The investment value of the system is IDR 32,910,770 for NPC, with the resulting IRR of 13%. Based on the results of the feasibility study analysis, the investment used in this hybrid system is lossless and feasible to realize.Keywords: hybrid power plant, feasibility study, HOMER, solar, wind.
Single Nucleotide Polymorphism of LDLR Gene as Atherogenesis Markers on Macaca fascicularis and Macaca nemestrina
Authors: Saepuloh Uus , Nenden Shanazvira Azizah  , Darusman Huda S , Farajallah Dyah Perwitasari 
Published: July 2023

Long-tailed macaques (Macaca fascicularis) and pig-tailed macaques (M. nemestrina) are non-human primate species that most commonly used as animal model in the study of atherosclerosis. Genetic variation in the low density lipoprotein receptor gene (LDLR) has been associated with normal variations in plasma lipid profile and the risk of coronary heart disease (CAD) in humans. In this study, the screening of nucleotide polymorphisms on LDLR genes as molecular markers of atherogenesis in M. fascicularis and M. nemestrina was performed. The LDLR gene of exon region 6 is amplified with a specific primers. The nucleotide sequences of the amplicons is determined by the sequencing technique and the results were bioinformatic analyzed. Analysis of exon 6 region LDLR gene in M. fascicularis and M. nemestrina revealed no SNP in this exon. Based on the alignment results, the entire sample has a type of haplotype I. The type of haplotype owned by the six animals is related to the hyper-repons. Both of this species are a potential species for animals model in the study of atherosclerotic disease. The use of exon 6 as a genetic marker of M. fascicularis and M. nemestrina on a fat cholesterol diet makes the animal selection of hypo- from hyper-responder are more efficient.
Konya Ekolojik Şartlarında Kültürü Yapılan Aynısefa (Calendula officinalis L.) Bitkisinin Farklı Ekim Zamanlarının Kalite Özellikleri Üzerine Etkisinin Belirlenmesi
Authors: AYRAN İrem , KAN Yüksel 
Published: July 2023

Amaç: Aynısefa (Calendula officinalis L), Asteraceae familyasına ait tek yıllık, otsu gövdeli bir bitkidir. Eski çağlardan bu yana halk arasında tıbbi ve kozmetik amaçlı kullanılmaktadır. Aynısefa bitkisi kimyasal kompozisyonu nedeniyle geleneksel ve tamamlayıcı tıp uygulamalarında soğuk algınlığında, yara tedavilerinde, ateşli hastalıklarda, böcek ısırıklarında, bebek pişiklerinde, diş eti hastalıklarında, hemoroidde, mide kramplarında ve fitoterapide kullanılmaktadır. Bitkinin parlak sarı ve turuncu renkteki güzel çiçekleri peyzaj alanlarında ve kesme çiçekçilikte süs bitkisi olarak kullanım alanı bulmaktadır. Bu çalışma ile Konya ekolojik koşullarında yetiştirilen aynısefa (Calendula officinalis L.) bitkisinde ekim zamanlarının bazı kalite özellikleri üzerine etkisi incelenmiştir.
Materyal ve Yöntem: Tarla çalışmaları Mart- Ağustos 2017 yetiştirme döneminde “Tesadüf Blokları Deneme Desenine” göre 3 tekrarlamalı olarak kurulmuştur. Kültüre alınan aynısefa çiçeklerinde toplam fenolik ve flavonoid miktarı, uçucu yağ verim ve bileşenleri, sabit yağ verim ve bileşenleri incelenmiştir.
Araştırma Bulguları: Yapılan analiz sonuçlarına göre; toplam fenolik miktarı 513.25 - 575.15 mg GAE/L, toplam flavonoid miktarı 91.08 - 110.13 mg QEs/L, çiçek uçucu yağ verimleri % 0.02 - 0.08, çiçek uçucu yağ major bileşenlerinden alfa-kadinol miktarı % 35.6 - 39.9, çiçek sabit yağ verimi % 5.52 - 6.17 ve çiçek sabit yağ bileşenlerinden doymamış yağ asitlerinin toplamı % 41.53 - 49.15 arasında belirlenmiştir.
Sonuç: Çalışmada aynısefa çiçeklerinin uçucu ve sabit yağ verimi ekim zamanı geciktikçe artmasına rağmen, farklı ekim zamanlarının uçucu yağ ve sabit yağ bileşenlerinde farklılığa neden olmadığı tespit edilmiştir. Toplam flavonoid miktarının ekim zamanı geciktikçe arttığı, toplam fenolik miktarının ise Nisan ayının ilk haftası yapılan ekimlerde yüksek olduğu sonucuna varılmıştır.