bluuebunny/crossref_metadata_2025 huggingface dataset:
Genetic Fuzzy System untuk Klasifikasi Tutupan Lahan Berdasarkan Foto Udara Unmanned Aerial Vehicle (UAV)
Authors: Setiawan Budi Darma , Rusydi Alfi Nur
Published: February 2024

Pengamatan terhadap tata letak sebuah wilayah, terutama wilayah berpenduduk, penting dilakukan untuk mengetahui perkembangan dan perubahan yang terjadi. Salah satu pendekatan yang dapat digunakan untuk pengamatan perkembangan suatu wilayah dari waktu ke waktu adalah dengan dengan melihat perubahan tutupan lahan (land cover) secara spasial dengan menggunakan citra foto udara. Foto udara yang mencakup sebuah wilayah dianalisis dengan mengelompokan jenis tutupan lahan atau dikenal dengan land cover classification (klasifikasi tutupan lahan). Metode klasifikasi yang digunakan adalah dengan genetic fuzzy system, yaitu metode klasifikasi dengan menggunakan sistem fuzzy yang aturannya dan fungsi keanggotaannya dioptimasi dengan menggunakan algoritma genetika. Proses metode ini terdiri dari dua tahap yaitu training process, untuk mencari aturan fuzzy yang baik, dan kemudian dilanjutkan dengan tuning process, yaitu proses untuk menggeser batasan nilai pada fungsi keanggotaan himpunan fuzzy yang digunakan. Input program ini adalah nilai red (R), green (G), dan blue (B) dari tiap pixel di dalam citra, dan outputnya adalah kelas pixel yang dikelompokkan (tanah, air, vegetasi, bangunan, dan jalan). Hasil penelitian menunjukkan bahwa nilai fitness tertinggi yang diperoleh adalah hingga 0.84 atau 84%.
 
Abstract
Observation of the layout of an area, especially populated areas, is important to monitor what has been changed during the time period. To observe the development of an area from time to time, one approach that can be done is to observe land cover changes from above. Aerial imagery of an area is analyzed by grouping some subareas based on their land cover types or known as land cover classification. This study proposed the genetic fuzzy system to classify each pixel in the image. The genetic fuzzy system is a classification method using a fuzzy system whose membership function is optimized using a genetic algorithm. The process consists of two stages, namely the training process, to find good fuzzy rules, and then proceed with tuning processes, namely the process of shifting the value constraints on the membership function of the fuzzy set used. The input of this program is the red (R), green (G), and blue (B) values of each pixel in the image, and the output is the class in which the pixels are grouped (soil, water, vegetation, buildings, and roads). From the experimental results, the highest fitness value was obtained up to 0.84 or 84%.
Pengembangan Gim Simulasi Kehidupan untuk Peningkatan Literasi Grafik Menggunakan Framework DPE
Authors: Silitonga Erico , Muhammad Adams Jonemaro Eriq , Aminul Akbar Muhammad
Published: February 2024

Literasi grafik merupakan kemampuan untuk memahami dan menginterpretasikan informasi yang ditampilkan dalam bentuk grafik. Berdasarkan survei yang dilakukan oleh Tiro pada 155 mahasiswa di Universitas Negeri Makassar, didapatkan bahwa tingkat pemahaman konsep tabel dan grafik hanya sebesar 43%, selain itu, terdapat juga riset yang dilakukan oleh Mustain pada 59 murid yang duduk di bangku kelas 8 SMP, pada risetnya, didapatkan bahwa kurang dari 15% dari 59 murid tersebut memiliki nilai yang cukup untuk mendapatkan nilai Kriteria Ketuntasan Minimal dalam pembelajaran grafik. Hal ini terbilang mengkhawatirkan karena kemampuan untuk menginterpretasikan data dari membaca grafik merupakan kemampuan yang sangat penting dimiliki. Solusi yang ditawarkan pada penelitian ini adalah sebuah alternatif pembelajaran grafik menggunakan gim serius sebagai sumber pembelajaran. Pengembangan gim serius akan menggunakan kerangka kerja DPE pada proses desainnya. Pada penelitian ini akan dilakukan dua pengujian, yaitu pengujian black box, dan juga uji kompetensi pre-test dan post-test. Hasil dari pengujian black box menunjukan 100% valid pada pengujiannya, sehingga sistem terbukti dapat berjalan dengan baik. Dari pengujian uji kompetensi juga dapat dilihat peningkatan rata-rata nilai dari 70.657 menjadi 81.090, hasil ini membuktikan bahwa gim simulasi kehidupan dapat dijadikan sarana pembelajaran alternatif untuk grafik.
 
Abstract 
Graphic literacy is the ability to understand and interpret information presented in graphical form. Based on a survey conducted by Tiro on 155 students at Makassar State University, it was found that the level of understanding of the concept of tables and graphs was only 43%, besides that, there was also research conducted by Mustain on 59 students who were in grade 8 junior high school, in his research, it was found that less than 15% of the 59 students had sufficient scores to get the Minimum Mastery Criteria score in learning graphics. This is somewhat worrying because the ability to interpret data from reading charts is a very important ability to have. The solution offered in this study is an alternative to graphic learning using serious games as a learning resource. Serious game development will use the DPE framework in their design process. In this study, two tests will be carried out, namely black box testing, as well as pre-test and post-test competency tests. The results of the black box testing show 100% valid in the test, so the system is proven to work properly. From the competency tests it can also be seen that the average score has increased from 70,657 to 81,090. These results prove that life simulation games can be used as an alternative learning tool for graphics.
Implementasi Self Organizing Maps untuk Pengelompokan Kabupaten/Kota Berdasarkan Indeks Pembangunan Manusia
Authors: Midyanti Dwi Marisa , Bahri Syamsul
Published: February 2024

Indeks Pembangunan Manusia (IPM) merupakan indikator untuk mengukur keberhasilan dalam membangun kualitas hidup manusia. Di tahun 2022, empat indikator IPM berubah menjadi Umur Harapan Hidup Saat Lahir (UHH), Harapan Lama Sekolah (HLS), Rata-rata Lama Sekolah (RLS), dan Pengeluaran Kapita Pertahun. Namun empat indikator tersebut dianggap sebagian pihak kurang mewakili pembangunan. Penelitian ini bertujuan untuk melakukan pengelompokan IPM Kalimantan Barat dengan adanya penambahan variabel kepadatan penduduk, jumlah guru dan murid, dan jumlah pengangguran menggunakan Self Organizing Maps (SOM). Metode SOM dipilih karena memiliki kelebihan untuk memetakan data berdimensi tinggi kedalam bentuk peta berdimensi rendah. Selain itu digunakan normalisasi Min-Max normalization Benefit dan cost agar normalisasi sesuai dengan kriteria setiap variabel. Hasil penelitian ini menunjukkan bahwa, dengan menggunakan learning rate 0.001, maksimum iterasi 1100, dihasilkan sejumlah 4 cluster dengan nilai Silhouette Coefficients sebesar 0.331611 untuk penambahan variabel kepadatan penduduk, 0.290092 untuk penambahan variabel jumlah guru dan murid, 0.298582 untuk penambahan variabel jumlah pengangguran , dan 0.273734 untuk adanya penambahan variabel kepadatan penduduk, jumlah guru dan murid, dan jumlah pengangguran. Profiling cluster menghasilkan karakteristik dan anggota cluster yang berbeda di setiap penambahan variabel.
 
Abstract
The Human Development Index (IPM) is an indicator to measure success in building the quality of human life. In 2022, the four HDI indicators changed to Life Expectancy at Birth (UHH), Years of School Expectation (HLS), Average Years of Schooling (RLS), and Annual Capita Spending. However, some consider the four indicators to be less representative of development. This study aims to carry out the West Kalimantan IPM cluster by adding population density variables, the number of teachers and students, and the number of unemployed using Self Organizing Maps (SOM). The SOM method was chosen because it has the advantage of mapping high-dimensional data into low-dimensional maps. Besides that, Min-Max normalization Benefit and cost normalization are used so that normalization is in accordance with the criteria for each variable. The results of this study indicate that using a learning rate of 0.001, maximum iteration of 1100, a total of 4 clusters are produced with Silhouette Coefficients values of 0.331611 for the addition of the population density variable, 0.290092 for the addition of the number of teachers and students variable, 0.298582 for the addition of the number of unemployed variables, and 0.273734 for the addition of the variable population density, number of teachers and students, and number of unemployed. Cluster profiling produces different characteristics and cluster members in each variable addition.
Rancang Bangun Alat Pengenal Finger Vein Menggunakan Raspberry Pi dengan Metode Convolutional Neural Network (CNN)
Authors: Prasetio Barlian Henryranu , Jevandika  , Syauqy Dahnial
Published: February 2024

Terobosan teknologi sistem pengenalan biometrik saat ini berkembang dengan pesat dan sangat mempermudah urusan seperti pengenalan identitas atau validasi identitas, serta tidak jarang perusahaan dan institusi lain yang umum menerapkan sistem pengenalan berbasis biometrik manusia seperti sidik jari, pola telapak tangan, wajah, ataupun iris mata. Sebuah sistem pengenalan biometrik memiliki kelebihan dan tentunya beberapa keterbatasan dalam hal performa dan kenyamanan. Pengenalan sidik jari dan telapak tangan mengharuskan pengguna untuk menyentuh permukaan sensor. Dengan cara ini, pengguna dapat merasa tidak nyaman dan risiko penyebaran virus atau bakteri sangat tinggi, juga akurasi pendeteksian dapat dipengaruhi oleh faktor-faktor seperti kulit berkeringat dan kering serta distorsi kulit. Oleh karena itu pada penelitian ini akan mengusung judul Rancang Bangun Alat Pengenal Finger Vein Menggunakan Raspberry Pi Dengan Metode Convolutional Neural Network (CNN). Penelitian ini menggunakan sistem berbasis Raspberry Pi 4 dengan bantuan IR LED dan webcam untuk proses akusisi data citra pembuluh darah jari, yang diharapkan mampu melakukan proses pengenalan Finger Vein lebih cepat, dan penggunaan metode Convolutional Neural Network yang sudah teruji untuk menghasilkan akurasi yang lebih baik dengan proses Deep Learning. Dari 30 data yang digunakan sebagai penguji sistem bersama perangkat lunak dan perangkat keras tertanam, akurasinya mencapai 96,66%.
 
Abstract
 
Breakthrough in biometric recognition system technology is currently growing rapidly and greatly facilitates matters such as identity recognition or identity validation, and it is not uncommon for companies and other institutions to implement human biometric-based recognition systems such as fingerprints, palm patterns, faces, or irises. A biometric recognition system has advantages and certainly some limitations in terms of performance and convenience. Fingerprint and palm recognition requires the user to touch the surface of the sensor. In this way, users can feel uncomfortable and the risk of spreading viruses or bacteria is very high, also the detection accuracy can be affected by factors such as sweaty and dry skin and skin distortion. Therefore, this study will carry the title Design a Finger Vein Recognition Tool Using Raspberry Pi with the Convolutional Neural Network (CNN) Method. This research uses a Raspberry Pi 4-based system with the help of IR LEDs and webcams for the acquisition process of finger blood vessel image data, which is expected to be able to carry out the Finger Vein recognition process faster, and the use of the proven Convolutional Neural Network method to produce better accuracy with the Deep Learning process. Of the 30 data used as system testers alongside embedded software and hardware, the accuracy reached 96.66%.
Pengenalan Entitas Bernama Menggunakan Bi-LSTM pada Chatbot Bahasa Indonesia
Authors: Zulhilmi Anshar , Perdana Rizal , Indriati
Published: February 2024

Institusi publik perlu mengitegrasikan e-government ke dalam struktur pengelolaan mereka. Sistem pelayanan terpadu harus dapat menyelesaikan masalah yang dihadapi oleh pengguna layanan. Apabila sistem pelayanan terpadu hanya mengandalkan manusia, maka sistem pelayanan terpadu dapat terhambat. Chatbot adalah salah satu solusi untuk menggantikan peran manusia dalam sistem pelayanan terpadu. Salah satu komponen pada chatbot adalah pengenalan entitas bernama. Pada penelitian ini, pengenalan entitas bernama dilakukan dalam beberapa tahap. Tahapan-tahapan tersebut antara lain penghilangan noise, pelabelan data, pembuatan kamus kata dan label, encoding urutan dan pemisahan data, inisiasi model, dan pelatihan model. Model yang digunakan yakni bidirectional long-short term memory. Skor F1 terbaik yang didapat dari pengujian adalah 87,44% dengan hyperparameter jumlah layer sebanyak 2, hidden size sebanyak 100, dan learning rate sebesar 0,01. Kemudian, penambahan jumlah layer maupun hidden size kurang berpengaruh terhadap skor F1 yang dihasilkan oleh model. Learning rate memengaruhi seberapa cepat model mencapai solusi optimal.
 
Abstract
 
Public institutions must integrate e-government into their management structures. An integrated service system must be able to solve the problems faced by service users. If the integrated service system only relies on humans, then the integrated service system can be hampered. Chatbot is one of the solutions to replace the human role in an integrated service system. One component of the chatbot is named entity recognition. In this study, the named entity recognition was carried out in several stages. These stages include noise removal, data labeling, word and label dictionary creation, sequence encoding and data separation, model initiation, and model training. The model used is bidirectional long-short term memory. The best F1 score obtained from the test is 87.44% with hyperparameters of the number of layers of 2, hidden size of 100, and learning rate of 0.01. The addition of the number of layers and hidden size has little effect on the F1 score produced by the model. The learning rate affects how fast the model reaches the optimal solution.
Implementasi Algoritma Fuzzi Mamdani pada Sistem Pakar Menggunakan Software Aplikasi Matlab R2007B, Studi Kasus: Tanaman Hidroponik Selada Air
Authors: Purnawirawan Okta , Afirianto Tri
Published: February 2024

Hidroponik merupakan teknik bertanam dengan media tanam selain tanah. Jenis tanaman yang ditanam dengan teknik hidroponik, salah satunya menggunakan media tanam berupa air (hidro). Tanaman yang dapat tumbuh dengan menggunakan media tanam air yaitu Selada Air (Nasturtium Officinale). Berdasarkan hasil observasi dengan petani perkebunan selada air, bahwa tanaman tersebut dipengaruhi oleh beberapa faktor yaitu kadar nutrisi, tingkat keasaman dan suhu pada media air. Faktor tersebut dijadikan sebagai variabel data masukan sistem pakar untuk memprediksi tingkat nilai pertumbuhan dan perkembangan tanaman. Proses kerja sistem pakar dengan menerapkan algoritma fuzzy mamdani. Sistem pakar dibangun menggunakan fungsi dari Sistem Inferensi Fuzzy (Fuzzy Inference System/FIS) yang terdapat pada Fuzzy Logic Toolbox (FLT) dalam software aplikasi MATLAB R2007b. Selain itu untuk mengetahui pengaruh dari variabel masukan terhadap pertumbuhan dan perkembangan tanaman selada air dapat divisualisasikan dengan fungsi diagram keluaran surface FIS yang berbentuk tiga dimensi. Hasil analisis dari diagram keluaran surface FIS bahwa menunjukkan tanaman hidroponik selada air dapat tumbuh dan berkembang dalam kondisi: (1) tingkat kadar nutrisi 1000 sampai 1800 PPM; (2) tingkat keasaman 3 sampai 6 H+/liter; dan (3) tingkat suhu air 24o sampai 29o C.
 
Abstract
 
Hydroponics is a planting technique using growing media other than soil. Types of plants that are grown using hydroponic techniques, one of which uses a planting medium in the form of water (hydro). Plants that can grow using water growing media are Watercress (Nasturtium Officinale). Based on the results of observations with watercress plantation farmers, that the plant is influenced by several factors, namely nutrient levels, acidity levels and temperature in the water medium. These factors are used as masukan data variables for expert systems to predict the level of plant growth and development values. Expert system work process by applying the fuzzy mamdani algorithm. The expert system was built using the functions of the Fuzzy Inference System (FIS) contained in the Fuzzy Logic Toolbox (FLT) in the MATLAB R2007b application software. In addition, to determine the effect of the masukan variables on the growth and development of watercress plants, it can be visualized using the three-dimensional FIS keluaran surface diagram function. The results of the analysis of the FIS keluaran surface diagram show that watercress hydroponic plants can grow and develop under the following conditions: (1) nutrient levels of 1000 to 1800 PPM; (2) acidity level 3 to 6 H+/liter; and (3) temperature water level of 24o to 29o C.
Penerapan Blok SE-NET Pada Deep Learning Inceptionv3 untuk Meningkatkan Deteksi Penyakit Mpox pada Manusia
Authors: Rachman M. Bakhara Alief , Kurniasih Aliyah , Sundawijaya Andika , Nuraminah Ahlijati
Published: February 2024

Mpox atau cacar monyet adalah penyakit yang disebabkan oleh virus monkeypox. Penelitian terdahulu membuktikan sudah tersedia beberapa pre-trained model yang terbukti mampu mendeteksi penyakit mpox dengan menggunakan dataset MSLD (Monkeypox Skin Lesion Dataset) seperti VGG16, ResNet50, InceptionV3, dan penggabungan ketiga model tersebut. Dari penelitian tersebut didapatkan hasil model InceptionV3 memiliki tingkat akurasi paling rendah dengan nilai 74.07% berbanding jauh dengan ResNet50 yang mampu hingga 82.96% dan menjadikannya akurasi tertinggi. Namun, terdapat peluang akurasi model InceptionV3 mampu ditingkatkan. Oleh sebab itu, pada penelitian diimplementasikan arsitektur baru dan penambahan blok SE-Net (Squeeze and Excitation Networks) pada pre-trained model InceptionV3. Untuk training dan evaluasi model akan menggunakan dataset MSLD. Penelitian ini dilaksanakan dengan harapan mampu meningkatkan akurasi pre-trained model InceptionV3 dalam mendeteksi penyakit mpox. Dari hasil penelitian berdasarkan nilai confusion matrix penerapan arsitektur baru berhasil dilakukan terbukti dengan peningkatan akurasi dari 74.07% menjadi 82.22%. Selain itu, penambahan blok SE-Net terhadap arsitektur baru terbukti mampu meningkatkan akurasi menjadi 91.11% dan menjadikan performa InceptionV3 menjadi lebih baik dari akurasi ResNet50. Dari hasil penelitian tersebut memberikan rekomendasi untuk melakukan percobaan dengan mengganti pre-trained model, blok SE-Net, dan jumlah perbandingan dataset antara train, validation, dan test.
 
Abstract
 
Mpox or monkeypox is a disease caused by the monkeypox virus. Previous research has proven that there are several pre-trained models that are proven to be able to detect mpox disease using MSLD (Monkeypox Skin Lesion Dataset) datasets such as VGG16, ResNet50, InceptionV3, and a combination of these three models. From this research, it was found that the InceptionV3 model has the lowest level of accuracy with a value of 74.07% compared to ResNet50 which is capable of up to 82.96% and makes it the highest accuracy. However, there is a chance that accuracy can be improved. Therefore, this research will apply a new architecture and SE-Net blocks to the InceptionV3 pre-trained model using the MSLD dataset. From the results of research based on the value of the confusion matrix the application of the new architecture was successfully carried out as evidenced by an increase in accuracy from 74.07% to 82.22%. In addition, the addition of the SE-Net block to the new architecture is proven to be able to increase accuracy to 91.11% and make InceptionV3's performance better than ResNet50's accuracy. The results of this study provide recommendations for conducting experiments by changing the pre-trained model, the SE-Net block, and the number of dataset comparisons between train, validation, and test.
Analisis Kinerja Augmented Reality HyperText Markup Language (ARHTML) Melalui Pemanfaatan Web Graphics Library dan OpenGl Shading Language untuk Pengembangan 3D
Authors: Hamzaturrazak Multohadi , Jabbar Abdul , Setya Perdana Rizal , Pinandito Aryo
Published: February 2024

Di era digital ini, teknologi mengalami kemajuan pesat, termasuk penggunaan augmented reality yang semakin populer. Perpaduan elemen virtual dan dunia nyata oleh augmented reality menciptakan interaksi pengguna yang berkesan dan dinamis. Munculnya alat-alat ini mempermudah pengintegrasian augmented reality ke dalam aplikasi web. Dengan memanfaatkan mentahan shader mentah dari WebGL dan GLSL, tujuan penelitian ini adalah untuk menyelidiki dan membangun lingkungan augmented reality berbasis web melalui library Three.js. WebGL berfungsi sebagai standar otoritatif untuk rendering grafis 3D dalam antarmuka berbasis web, sedangkan GLSL berfungsi sebagai bahasa skrip yang bertanggung jawab untuk mengatur presentasi visual yang dihasilkan oleh WebGL. Three.js berfungsi sebagai perangkat JavaScript yang dirancang untuk membuat grafik 3D interaktif berbasis web. Dalam studi ini, eksplorasi shader mentah dari WebGL dan GLSL dilakukan untuk menganalisis pengalaman web augmented reality. Shader yang diimplementasikan digabungkan dengan Three.js dan AR.js untuk membangun atmosfer augmented reality yang menawan. Selanjutnya dilakukan perbandingan antara hasil penggunaan GLSL dan WebGL dalam konteks augmented reality di web. Analisis menunjukkan bahwa GLSL mengungguli WebGL dalam skenario augmented reality berbasis web. Shader GLSL memberikan kinerja yang lebih baik untuk menampilkan objek virtual di augmented reality.
 
Abstract
In this digital era, technology has changed rapidly advancements, including the usage of augmented reality, which has become increasingly popular. The fusion of virtual and real-world elements by augmented reality creates memorable and dynamic user interactions. The emergence of these tools has made it simpler to integrate augmented reality into web applications. By leveraging raw WebGL and GLSL shaders, we aim to investigate and establish web-based augmented reality environments via the Three.js library. WebGL serves as the authoritative standard for 3D graphical rendering within web-based interfaces, whereas GLSL functions as the scripting language responsible for regulating the visual presentation produced by WebGL. Three.js serves as a JavaScript toolset designed to create interactive, web-based 3D graphics. In this study, an exploration of raw WebGL and GLSL shaders is conducted to analyze the augmented reality web experience. The implemented shaders are combined with Three.js and AR.js tools to construct a captivating augmented reality atmosphere. Furthermore, a comparison is made between the results of using GLSL and WebGL in the context of augmented reality on the web. The analysis demonstrates that GLSL outperforms WebGL in web-based augmented reality scenarios. GLSL shaders provide better performance for displaying virtual objects in augmented reality.
Acts restricting fair competition: issues of criminalization and differentiation of criminal liability
Authors: Danilovskaia Anna Vladimirovna
Published: February 2024

The subject of the study is certain areas of criminal law policy in the field of protection of fair competition, namely the current state of criminalization of acts restricting fair competition, the signs of which directly or indirectly correspond to violations of the Federal Law "On Protection of Competition", disadvantages of criminalization of such acts, as well as violations of the rules of legislative technique in their design, differentiation of criminal liability for committing such crimes, law enforcement in the field of criminal law counteraction to the restriction of fair competition. The purpose of the work is to identify the problems of criminalization of acts restricting fair competition in their relation to the Federal Law "On Protection of Competition", the shortcomings of differentiation of criminal liability for their commission in the light of official recognition of the need to counter anticompetitive violations as a threat to economic security, and ways to eliminate them. The research methodology is based on general scientific and private scientific methods of cognition - system analysis, logical, comparative, formal dogmatic, legal forecasting, classification method. The novelty lies in the fact that the author: 1) a study of the provisions of the Criminal Code of the Russian Federation for the content of crimes in it, the signs of which are directly or indirectly related to violations of the prohibitions of the Federal Law "On Protection of Competition", an analysis of this ratio, as well as their reflection in law enforcement; 2) proposals on criminalization of collusion at auctions, depending on the subject of collusion; 3) given analysis of violations of legislative technique in the description of crimes, the signs of which may be associated with violation of the prohibitions of the Federal Law "On Protection of Competition"; 4) it is concluded that new qualifying or especially qualifying signs are included as means of differentiating criminal liability for encroachments on fair competition, the shortcomings of existing sanctions are studied and ways to eliminate them are proposed. The conclusions are that in order to solve the tasks of countering anti-competitive acts as a threat to economic security, it is necessary to reconsider the approach to criminalizing acts that restrict competition, in particular, by clarifying the signs of their objective side, expanding the grounds for criminal liability for anti-competitive agreements, differentiating responsibility for their commission by clarifying qualifying and especially qualifying signs, improving the sanctions mechanism.
Numerical Investigation of Partially Premixed Flames Under Transcritical Conditions
Authors: Lv Ziting , Gao Yushan , Hu Haifeng , Arumapperuma Geveen , Fu Qingfei , Han Wang , Yang Lijun
Published: February 2024

Understanding the characteristics of partially premixed flames (PPFs) under transcritical conditions is of critical importance for the development of fuel-rich staged rocket engines. While substantial progress has been achieved for transcritical non-premixed flames (NPFs), comparatively little effort has been made to investigate transcritical PPFs. To this end, a series of transcritical counterflow gaseous hydrogen/liquid oxygen (GH2/LOX) PPFs is simulated to investigate the thermodynamic structure of PPF and to examine the effects of molecular diffusion modeling, strain rate, and the equivalence ratio at the fuel-rich side on PPFs in physical space and mixture fraction space, as well as reduced temperature/reduced pressure space. The comparisons between the NPF and PPF demonstrate that the PPF exhibits a bimodal structure in physical space: a premixed reaction zone at the fuel inlet side and a non-premixed reaction zone at the oxidizer side. In mixture fraction space, the C-shaped structure of PPF is observed owing to the differential diffusion of species. It is found that the choice of molecular diffusion model has a significant impact on PPF structure. The presence of a loop at subcritical pressures in a reduced temperature/reduced pressure space is caused by the differential diffusion of species and the formation of [Formula: see text] in the non-premixed reaction zone. Furthermore, the results indicate that the premixed reaction zones in the PPFs are very sensitive to the change in strain rate and/or equivalence ratio of the premixed mixture at the fuel inlet side. For a given equivalence ratio, increasing strain rate can suppress the differential diffusion effect and the C-shaped structure, while it has a negligible impact on the non-premixed reaction and hence on loop formation.
Simulasi Sistem Pengendalian Motor Stepper dengan Metode Pulse Width Modulation
Authors: Timothy Wijaya Hans , Pangestu Devin , Timothy Sutjipto Marcellus , Surya Widjaja Williem , Octavianus Bachri Karel , Nur Tajuddin
Published: February 2024

This paper discusses the control of a stepper motor using Pulse Width Modulation (PWM) methods. In this paper, the author presents two designs: one using a stepper motor controller with an astable multivibrator as a pulse generator and the other utilizing a microcontroller as the pulse generator. The design of the stepper motor controller with an astable multivibrator involves using the IC timer 555 to control the stepper motor speed and a latch circuit to control the direction of the stepper motor rotation. Meanwhile, the design of the stepper motor controller with a microcontroller employs the Arduino UNO R3 to control both the direction and speed of the stepper motor. Testing is conducted through a simulation of the system design using Proteus software. From the test results, it is observed that an increase in the PWM value leads to a faster rotation speed of the stepper motor, conversely, a decrease in PWM value results in a slower rotation speed of the stepper motor.
Pengolahan Data Buah Menggunakan Metode Deep Learning
Authors: Satria Pratama Chrisantian , Kusuma Edward , Kristina Yanti Hutapea Duma
Published: February 2024

The use of artificial intelligence is increasingly widespread, one of which is in the use of detecting an object. In general, object detection is often used in tools that capture images such as cameras on cell phones or CCTV which is applied to e-tickets (electronic tickets). With deep learning technique in this article to detect fruit, it is hoped that it can be useful in everyday life such as a fruit sorting machine based on the level of maturity based on color or separating fruit from leaves in the fruit picking process.
Prediksi Ekspor Migas Indonesia Dengan Double Exponential Smoothing
Authors: Juli Christanto Henoch , Aprius Sutresno Stephen , Mavish Steven , Afrianto Singgalen Yerik , Dewi Christine
Published: February 2024

In Indonesia, there are several forms of exports, one of which is oil and gas exports. The Double Exponential Smoothing method is a forecasting method that can be used to forecast oil and gas export data. This method uses two smoothing parameters, namely the average smoothing parameter alpha (α), the trend smoothing parameter beta (β). In this study, the population used is data on oil and gas exports in Indonesia. And the sample used is Indonesia's oil and gas export data from January 2020 to October 2021, we get 22 data sourced from the Central Statistics Agency (BPS). The Double Exponential Smoothing method is used because the data to be processed has a trend, both an up and a down trend and gas exports in Indonesia have an up and down pattern. The Double Exponential Smoothing method can also predict the prediction of oil and gas exports in Indonesia in the next months, November 2021 to February 2022. To process the data, the researcher used the Holt Double Exponential Smoothing method .
Sistem Pemantauan Cerdas Berbasis Internet of Things pada Pusat Perbelanjaan
Authors: Mourio Sutio Peter , Eka Budiyanta Nova , Kristina Yanti Hutapea Duma , Indriati Kumala
Published: February 2024

Shopping centers in Indonesia are faced with the problem of corona virus pandemic. Shopping centers were temporarily closed by the government and experienced a decline in visitors and even income during the pandemic. In order for shopping centers to earn sufficient income, the government provides a policy for shopping centers by limiting the number of visitors, checking temperature using a thermo scanner or thermo gun, and using masks according to health protocol rules. For this reason, an intelligent monitoring system is needed to monitor the density of the number of visitors and check the temperature automatically to prevent transmission of the corona virus from crowded shopping centers. The intelligent monitoring system is realized in miniature using NodeMCU as a microcontroller, web pages as interface pages for shopping center managers in system monitoring, applications as interface pages for managers in monitoring systems and applications as interface pages for the public so they can see the number of visitors and remaining capacity. at a shopping center. The overall test results percentage obtained is 100% and it can be concluded that the intelligent monitoring system can work well.
Optimizing Secure Communication in Distributed Corporate Networks through PPTP and IPSec VPN Protocols
Authors: Angelina Azels Wilona , Ghozali Theresia , Siregar Marsul
Published: February 2024

In today’s industry, company’s activities are scattered in several locations and need internet for communication purposes. However, it will be dangerous if third-parties have access to their information. One of the solutions for securing information exchange is by using Virtual Private Network (VPN). The VPN protocols that will be used are Point-to-Point Tunneling Protocol (PPTP) with the help of Internet Protocol Security (IPSec). These protocols are simulated in VirtualBox that has been previously installed with two Mikrotik routers and two Windows 7 operating systems. The PPTP and IPSec protocols are configured in both routers through Winbox software. For the computers, the IP addresses are configured along with iPerf software for bandwidth analysis. In this VPN simulation, both computers can communicate with each other and have no problem in accessing the internet. In PPTP’s network, the average bandwidth is 1.293 Mbits/sec. Meanwhile, in PPTP with IPSec’s network, the average bandwidth is 0.853 Mbits/sec. There is a slight difference considering that in PPTP, the data packets are only encapsulated. On the other hand, the data packets in IPSec protocol are both encapsulated and encrypted.
Pengembangan Media Interaktif Pada Materi Peredaran Darah Menggunakan Metode ADDIE
Authors: Charmelita Pauelina , Bata Julius , W Pandjaitan MM Lanny
Published: February 2024

The subject of Natural Sciences plays a crucial role in Elementary School Education. One of the topics covered in elementary school Natural Sciences is the circulatory system. The topic of the circulatory system in Natural Sciences can be studied extensively, particularly focusing on the closed or double circulatory system. The circulatory system is one of the challenging topics for elementary school students to understand and absorb, especially in Grade V. Some elementary school students may also struggle to comprehend the structure of the circulatory system in humans, particularly the cardiovascular system from the top or bottom. There are many tools that assist students in learning a particular subject. One useful tool for learning Natural Sciences is interactive media. This research involves the development of interactive media using the ADDIE method (Analysis, Design, Development, Implementation, and Evaluation). This paper explains the ongoing development process.
Implementasi IoT dengan ESP 32 Untuk Pemantauan Kondisi Suhu Secara Jarak Jauh Menggunakan MQTT Pada AWS
Authors: Austin Calvin , Mulyadi Melisa , Octaviani Sandra
Published: February 2024

The development of the internet of things (IoT) creates many new innovations in the industrial sector aimed at increasing effectiveness. One of them is to monitor the condition of industrial process machines remotely as discussed in this study. This monitoring can be done using a device connected to the internet. The design of this system requires a microcontroller with an ESP32 wifi module as a data receiver and sender. The data sent is data from the temperature sensor. The data is in the form of simulation data generated from the program and has a random number. Machine-to- server data communication uses the Message Queuing Telemetry Transport (MQTT) protocol. The entire machine-to-server, server-to-server communication system will be carried out in the cloud using a cloud computing platform, namely Amazon Web Services (AWS). The test results show that the payload and temperature data sent from the microcontroller can be stored in the database. To see the reliability of the system, two Normal and Stress Tests were carried out, with a success percentage of 100% fo r data storage to the database on two tests and 16.67% failure in sending data on the Stress Test. The two tests were arranged under different conditions.
A Preliminary Survey of Color Discrimination Among Indonesia Female Subjects Using Farnsworth-Munsell Hue Color Test
Authors: TIUAJ Yanto , Hizkia Wicaksono Michael
Published: February 2024

This study aimed to conduct a preliminary survey of the color discrimination test among Indonesian samples. The study involved 26 participants of university students and office workers. To test the ability of color discrimination, the Farnsworth-Munsell (FM) 100 Hue Color Vision Test was used. Farnsworth-Munsell test scoring software was also used to obtain the total score of each participant. Using the FM 100-hue test, the participants were classified into superior, average and low color discrimination ability. The results showed that that 19.2% female participants were classified as superior for color discrimination ability. Majority of participants were classified as average. Meanwhile for low classification, only 3.9% were classified as low color discrimination ability. Currently, many companies and industries have great need for workers with good characterized and accurate color vision. However, the study of color discrimination is still limited and unknown in Indonesia. Through this study, hopefully attention for a broader study with a larger scale could be obtained.
Associação entre fatores de risco comportamentais e excesso de peso em mulheres adultas
Authors: Mendes Magda Swélly Ferreira , Cavalcante Deivyd Vieira Silva , Carvalho Joicy Lopes e Silva de , Silva Iane Gabriele Pimentel , Silva Lisandra Lays Gama , Padilha Luana Lopes , Melo Naruna Aritana Costa , Santos Samíria de Jesus Lopes , Soares Junior Nivaldo de Jesus Silva , Cavalcante Lilian Fernanda Pereira
Published: February 2024

Objetivo: O excesso de peso associado às doenças crônicas é uma das maiores causas de mortalidade no mundo, sendo um problema de saúde pública que afeta grande parte da população adulta. O objetivo do estudo foi avaliar a prevalência do excesso de peso e os riscos modificáveis em mulheres no município de São Luís, MA. Métodos: Trata-se de um estudo analítico, de caráter transversal, de base populacional, que foi realizado por meio de dados secundários coletados do Sistema de Vigilância de Fatores de Risco para Doença Crônica por Inquérito Telefônico Vigitel do ano de 2021. As variáveis categóricas foram apresentadas por meio de frequências e porcentagens. Para comparação das variáveis qualitativas utilizou-se o teste Qui-quadrado ou Exato de Fisher. Resultados: O nível de significância adotado foi de 5%. Os dados foram analisados no programa estatístico STATA®14.0. Foram avaliadas 383 mulheres adultas no ano de 2021 com prevalência de obesidade de 43,9%. Conclusão: Conclui-se que os resultados encontrados pelo Vigitel servem de fundamento para a elaboração de estratégias de ações governamentais, bem mais assertivas no controle de fatores de risco associados ao excesso de peso e demais doenças que estão interligadas.
EFFICIENT SYNTHESIS OF ZNO AS AN ELECTRODE OF PIEZOELECTRIC NANOGENERATORS
Authors: Salh Ribar A. , Ibrahem Mohammed A.
Published: February 2024

Piezoelectric nanogenerators (NGs) hold immense promise as self-powered devices for harvesting mechanical energy from the environment. This study introduces an efficient and scalable synthesis method for zinc oxide (ZnO) nanorods, a pivotal material in piezoelectric nanogenerators (NGs), with several key results. A Chemical Bath Deposition technique is employed, optimizing parameters such as growth time, temperature, and precursor concentrations to achieve well-aligned and high-quality ZnO nanorods. The structural and morphological characteristics of the synthesized nanorods are systematically investigated using advanced characterization techniques. The synthesized ZnO nanorods exhibit an average length of 400nm, demonstrating their slender shape. Furthermore, the study determines an energy gap value of 3.5 eV for multilayer zinc oxide thin films, indicating the transition from the valence band to the conduction band. Notably, thermal annealing at 500°C leads to a substantial increase in average output voltage, reaching 1.95 V, a fourfold improvement compared to as-deposited nanopowders. These findings emphasize the efficiency and potential of the proposed synthesis method and underscore its practical applications in enhancing energy harvesting capabilities for sustainable power generation from mechanical sources in piezoelectric NGs.
Pengaruh Islamic Branding Terhadap Keputusan Pembelian Konsumen Kosmetik Halal Pada Mahasiswi di Pontianak
Authors: Ardelia Aya Sofia , Luthfi Faishol
Published: February 2024

Islamic branding yang menjadi konsep yang relative baru dalam praktek branding secara islam sehingga menarik perhatian bagi para akademisi serta praktisi. Jumlah masyarakat muslim di Indonesia mencapai 241,7 juta jiwa, sehingga menjadikan konsumen muslim sebagai sasaran bagi produsen dalam memasarkan produk mereka. Produk kosmetik di Indonesia mengalami perkembangan yang pesat. Oleh karenanya, penting bagi konsumen muslim dapat lebih teliti dan selektif dalam memilih kosmetik yang aman dan halal sesuai syariat islam. Oleh karena itu, untuk memastikan produk aman dan halal konsumen muslim dapat memerikasa produk yang telah diperiksa oleh BPOM dan MUI. Hal ini tentunya karena masyarakat muslim berkewajiban untuk mengkonsumsi yang halal. Tujuan dilakukan penelitian ini adalah untuk mengkaji pengaruh Islamic Branding terhadap keputusan pembelian konsumen kosmetik halal pada mahasiswi di Pontianak. Penelitian ini merupakan penelitian lapangan yang bersifat kuantitaif dengan dilakukan penyebaran kuisioner yang kemudian dianalisis menggunakan Teknik analisis regresi linier sederhana yang dibantu dengan program SPSS. Hasil pada penelitian ini menunjukkan bahwa Islamic Branding tidak berpengaruh terhadap Keputusan Pembelian Konsumen Konsumen Kosmetik Halal pada mahasiswi di Pontianak.
Assessing How Rewards and Sanctions Shape Employee Performance at Rocky Plaza Hotel in Padang
Authors: Yandri Melani Sefrita , Alfian Alfian
Published: February 2024

This study investigates the implications of reward and punishment mechanisms on employee performance, focusing on the unique context of Rocky Plaza Hotel in Padang. Drawing on insights from organizational psychology and management studies, the study explores the dynamics between reward and punishment strategies and their influence on the hotel's workforce. The research employs a quantitative approach, involving data collection from 121 hotel employees through direct communication, questionnaires, interviews, and documentation. The study establishes the significance of effective reward systems in enhancing employee motivation and job satisfaction, contributing to improved performance and productivity. Conversely, the application of sanctions or punishments is found to deter undesirable behaviors, fostering a more disciplined and efficient work environment. The hotel implements a range of reward systems, including recognition programs, performance bonuses, and promotions, along with various forms of punishments such as verbal or written warnings, salary deductions, and demotions. The study recommends fostering a supportive work environment through leadership initiatives and suggests avenues for future research to explore additional variables and alternative research methods.
Kajian Ketahanan Bahasa Kelompok Bidayuh Pegunungan Kalimantan Barat
Authors: Gusmao Fernando H , Gusmao Fernando H
Published: February 2024

Penelitian ini mengkaji vitalitas bahasa pada masyarakat Bidayuh pegunungan untuk mengetahui faktor-faktor yang berkontribusi terhadap pergeseran dan melemahnya bahasa. Komunitas bahasa yang diteliti adalah Tamong, Liboy, Butok, Tawang, Tengon, Badeneh, Sapatoi, Suti Bamayo, Tadietn, dan Kowotn. Penelitian ini menggunakan pendekatan partisipatif dengan menggunakan alat Roda Ketahanan Bahasa dan observasi lapangan. Data dianalisis secara kualitatif dan skala vitalitas bahasa ditentukan dengan menggunakan skala EGIDS (Expanded Graded Intergenerational Disruption Scale). Hasil menunjukkan bahwa Tamong, Liboy, Butok, Tawang, Tengon, dan Badeneh memiliki vitalitas yang kuat (6a) dan dituturkan oleh semua generasi. Sapatoi, Suti Bamayo, Tadietn, dan Kowotn terancam vitalitasnya (6b), artinya hanya beberapa anak yang dapat berbahasa tersebut. Faktor utama yang mempengaruhi lek-lek di Bidayuh pegunungan menjadi lemah adalah motivasi orang tua yang memprioritaskan transmisi bahasa Indonesia kepada anak agar dapat mengikuti pendidikan formal dengan baik.
Studi Diakronis Pronomina Persona Pertama aku dan kami dalam Bahasa Jawa
Authors: Fitriana Atin
Published: February 2024

In Old Javanese, the personal pronouns aku and kami can appear simultaneously in a speech and refer to the same person. However, in Modern Javanese first-person pronouns of kami are no longer used in daily conversation; while aku was also limited in the ngoko register. This research focuses on changing the grammatical aspects of the personal pronouns aku and kami diachronically using a grammaticalization and corpus linguistics approach (Mair, 2004; 2012). The data sources used in this research come from literary texts in the form of prose and poetry from the 10th century to the 21st century. In this research, Antconc is used as a data processing tool by utilizing the concordance and frequency row features. Based on frequency, the use of the personal pronouns aku and kami competed with each other from the 10th century to the 18th century. The personal pronouns aku and kami also undergo grammatical development. Bound forms of personal pronouns aku and kami can be attached to nouns, verbs, and prepositions. However, in their development, the bound form can only be attached to nouns. The ability of the bound forms of the pronouns aku and kami to attach to verbs and prepositions is discontinued.
HYPERBOLIC EXPRESSIONS AMONG NEWLY MOTHERS IN TEXT-BASED VIRTUAL COMMUNICATION
Authors: Dian Budiarti
Published: February 2024

The present study examined the use of hyperbolic expressions in a text-based virtual communication context, specifically in an Indonesian newly mothers’ online chat room. The study employed a descriptive qualitative method to analyze 60 utterances containing hyperbolic expressions taken from the Mom Sharing WhatsApp group. Simak and catat methods were implemented to observe and take notes on the hyperbolic expressions used by the mothers identified based on McCarthy & Carter’s (2004) characterization. The collected data were then categorized into 7 forms of hyperbole proposed by Claridge (2010), and the possible functions behind the use of this figurative language were analyzed qualitatively based on the overall contexts. Results reveal that 6 forms of hyperbole were used in the chat room, namely single-word hyperbole, phrasal hyperbole, clausal hyperbole, numerical hyperbole, the role of superlative, and comparison. Furthermore, the expressions were found to serve various functions, namely to express emotions, to concretize the message and evoke imagination, to create humour, and to establish group identity. These findings contribute to the ongoing discourse on the use of hyperbole in everyday communication.