Abstract:Student grade data is personal data that must be protected under Indonesian Law Number 27 of 2022 on Personal Data Protection, yet the rising number of data breaches in the education sector shows that such protection has…
not been optimally implemented. This study implements the 128-bit Advanced Encryption Standard (AES) algorithm combined with Huffman compression to protect the confidentiality and integrity of student grade files in Excel (.xlsx) format, and evaluates its effectiveness through functional, performance, and security testing. The system was developed as a Python desktop application with a CustomTkinter interface, in which the encryption process runs Huffman compression before AES-128, while integrity verification uses SHA-256 hashing. Testing was conducted on seven student grade files from MA Ma'ahid Kudus. The results show that all files were successfully encrypted and decrypted without failure or data alteration, with encryption times of 0.0142-0.0828 seconds and decryption times of 0.0046-0.1417 seconds. The SHA-256 hash values of the original and decrypted files were identical for all samples, yielding 100% recovery accuracy, while the file size increase from padding and header insertion ranged only from 1,092 to 1,101 bytes. The study concludes that the combination of AES-128 and Huffman compression is an effective and efficient solution for protecting student grade data in educational institutions.
Abstract:The low level of agility among elementary school students has become an important issue in Physical Education, Sports, and Health (PJOK) learning, particularly due to the limited variation in instructional methods and the…
e decline in students’ physical activity in the digital era. This condition causes students to be less physically active, resulting in underdeveloped abilities in changing direction, body coordination, and movement balance. This study aimed to determine the effect of the traditional Galah Asin game on improving the agility of fifth-grade students at SD Swasta Advent Barusjulu. The research employed a quantitative approach using a quasi-experimental method with a One-Group Pretest–Posttest Design. The research sample consisted of 37 students selected through the total sampling technique. Data were collected using a 4x10 meter shuttle run test to measure students’ agility levels before and after the treatment. The findings revealed that the average pretest score of 25.63 seconds decreased to 22.41 seconds in the posttest, indicating an improvement difference of 3.22 seconds. The paired sample t-test results showed that the calculated t-value of 9.87 was greater than the t-table value of 2.045 with a significance level of p < 0.000, indicating that the traditional Galah Asin game had a significant effect on improving students’ agility. The game was proven to enhance agility skills, active participation, learning motivation, and students’ social interaction during PJOK learning activities. The novelty of this study lies in the utilization of the traditional Galah Asin game as a local culture-based PJOK learning strategy that not only improves students’ agility but also supports cultural preservation and strengthens elementary school students’ physical activity in the modern era.
Abstract:This article investigates patterns of Hegelian Dialectics in 5 Seconds of Summer’s song lyrics entitled Good Girl. The background of this study lies on such stereotypes whether new literary works may still contain philosophical…
osophical ideas. The research question of this paper is whether 5 Seconds of Summer’s song lyrics entitled Good Girl can be analyzed through Hegelian Dialectics. Through qualitative method, this paper shows how the situation of the girl is covered by old and new knowledge in the scheme of thesis-antithesis-synthesis as theorized by G. W. F. Hegel. This approach emphasizes how traditional and modern understandings interact, highlighting how dynamic identity building is. Using explorative approach, the components of the song lyrics are discussed through subtextual understandings that Hegelian Dialectics may erode such stereotype and later shape another stigma as well. It is analyzed that the girl lives the stigma that a good girl is a nerd and should not have fun outside the house. The song lyrics then accentuate that a smart girl could also be a bad girl and it indeed breaks the stigma of a clever girl is always a good girl. In conclusion, the song lyrics show how ideas of a good and a bad girl are not that simple since those reflect complex situation between common, social, and even academic norms. By stating so, the novelty of this article is evident; such new literary works may still always contain certain philosophical presuppositions.
Abstract:Abstract: Automated batik motif classification is challenged by high inter-class similarity and texture complexity. This study proposes a hybrid model integrating MobileNetV2 as a feature extractor and Support Vector Machine…
hine (SVM) as the classifier to optimize accuracy and efficiency. Utilizing a Kaggle dataset of 8,640 images across 20 batik categories, the data was partitioned into 420 training images per class (Dayak: 360) and 15 testing images per class. The results demonstrate superior performance with 96.00% accuracy, exceeding the 90% target. The system showed high computational efficiency with a total execution time of 359.92 seconds and feature extraction taking only 22.63 seconds. This hybrid approach provides an ideal performance balance for resource-constrained mobile applications.
Keywords: batik classification; MobileNetV2; support vector machine; hybrid model; computational efficiency
Abstrak: Klasifikasi motif batik secara otomatis menghadapi tantangan kemiripan visual antar-kelas yang tinggi. Penelitian ini bertujuan mengoptimalkan akurasi dan efisiensi pengenalan batik menggunakan model hibrida MobileNetV2 sebagai pengekstraksi fitur dan Support Vector Machine (SVM) sebagai klasifikator. Menggunakan dataset Kaggle berisi 8.640 citra dari 20 kategori batik, data dibagi menjadi 420 citra latih per kelas (kecuali Batik Dayak 360) dan 15 citra uji per kelas. Hasil eksperimen menunjukkan performa impresif dengan akurasi 96,00%, melampaui target awal 90%. Sistem ini sangat efisien dengan total waktu eksekusi 359,92 detik, di mana ekstraksi fitur hanya membutuhkan 22,63 detik. Kombinasi MobileNetV2 dan SVM memberikan keseimbangan performa ideal untuk implementasi pada perangkat bergerak dengan sumber daya terbatas.
Kata kunci: klasifikasi batik; MobileNetV2; Support Vector Machine; Hybrid Model; efisiensi komputasi
Abstract:Abstract: The implementation of dress code regulations in university environments is generally still carried out conventionally, requiring significant time and effort and potentially leading to subjective assessments. This…
is study develops an automatic student dress code compliance detection system using computer vision based on the YOLOv8 model. The dataset consists of 1,800 annotated images divided into eight clothing categories, split into 78% training (1,404 images), 14% validation (254 images), and 8% testing (143 images). All images underwent preprocessing and data augmentation before training the YOLOv8 model with an input size of 640×640 pixels for 50 epochs. During testing, the YOLOv8 model achieved an overall performance of Precision 0.844, Recall 0.773, F1-Score 0.802, and mAP@0.5 0.841, and was able to detect clothing objects with good accuracy and stable performance under various image conditions. The system was integrated with a Flask-based backend and a web-based frontend to enable real time detection and compliance classification, with a response time of less than 2 seconds, supporting automatic and consistent identification of student dress code compliance as “Compliant” or “Violation.”
Keywords: compliance detection; computer vision; dress code regulations; real time detection; YOLOv8.
Abstrak: Penerapan aturan berpakaian di lingkungan kampus umumnya masih dilakukan secara konvensional sehingga membutuhkan waktu dan tenaga yang relatif besar serta berpotensi menimbulkan subjektivitas penilaian. Penelitian ini bertujuan mengembangkan sistem pendeteksi kepatuhan berpakaian mahasiswa secara otomatis berbasis visi komputer menggunakan model YOLOv8. Dataset yang digunakan terdiri dari 1.800 citra beranotasi yang terbagi ke dalam 8 kategori pakaian, dengan pembagian data sebesar 78% data latih (1.404 citra), 14% data validasi (254 citra) dan 8% data uji (143 citra). Seluruh citra diproses melalui tahapan pre-processing dan data augmentation, kemudian digunakan untuk melatih model YOLOv8 dengan ukuran input 640×640 piksel selama 50 epoch. Pada tahap pengujian, model mencapai performa keseluruhan dengan Precision 0.844, Recall 0.773, F1-Score 0.802, dan mAP@0.5 0.841, serta mampu mendeteksi objek pakaian dengan akurasi baik dan performa stabil pada berbagai kondisi citra. Sistem kemudian diintegrasikan dengan backend berbasis Flask dan frontend web untuk mendukung proses deteksi waktu nyata dan klasifikasi kepatuhan, dengan waktu respons sistem kurang dari 2 detik, sehingga mampu mengidentifikasi status kepatuhan berpakaian mahasiswa ke dalam kategori “Aman” dan “Melanggar Aturan” secara otomatis dan konsisten.
Kata kunci: aturan berpakaian; deteksi waktu nyata; pendeteksi kepatuhan; visi komputer; YOLOv8.
Abstract:Abstract: The development of digital learning systems requires not only effective content delivery but also database consistency and performance, particularly when used at scale by lecturers and students. Weaknesses in database…
atabase design can lead to data duplication, relational violations, and transaction failures that compromise system reliability. This study designed the Royal Mengajar application using PHP and MySQL, supported by JavaScript, HTML, and Bootstrap 5. The Crowdsourced Academic Content model enables lecturers to contribute learning materials openly, while students evaluate them through a user rating system. The objective of this research is to design and optimize the database architecture of the Royal Mengajar application by implementing multiple control mechanisms—namely views, triggers, transactions, and constraints—to enhance data efficiency, consistency, and integrity in digital learning environments. Database optimization focuses on the use of views to improve query efficiency, triggers to maintain automatic consistency, transactions to ensure atomicity in multi-table operations, and constraints to preserve data integrity. The results show that views reduced the average query execution time to 0.12 seconds, triggers maintained consistency without manual intervention, and constraints achieved 100% referential integrity. The application of these mechanisms significantly improved system speed, reduced data redundancy, and enhanced information reliability, thus reinforcing the sustainability of Royal Mengajar as a community-driven learning platform
Keywords: crowdsourced academic content; constraint; database optimization; trigger.
Abstrak: Pengembangan sistem pembelajaran digital tidak hanya menuntut penyajian materi, tetapi juga konsistensi serta kinerja basis data ketika sistem digunakan secara masif oleh dosen dan mahasiswa. Kelemahan rancangan database dapat menimbulkan duplikasi data, pelanggaran relasi, dan kegagalan transaksi yang memengaruhi keandalan sistem. Penelitian ini merancang aplikasi Royal Mengajar berbasis PHP dan MySQL dengan dukungan JavaScript, HTML, dan Bootstrap 5. Model Crowdsourced Academic Content memungkinkan dosen berkontribusi secara terbuka, sedangkan mahasiswa melakukan evaluasi melalui user rating system. Tujuan penelitian ini adalah untuk merancang dan mengoptimalkan basis data aplikasi Royal Mengajar melalui penerapan berbagai mekanisme pengendali, seperti view, trigger, transaction, dan constraint, guna meningkatkan efisiensi, konsistensi, dan integritas data dalam sistem pembelajaran digital. Optimalisasi database difokuskan pada penerapan view untuk efisiensi query, trigger untuk menjaga konsistensi otomatis, transaction untuk memastikan atomicity pada operasi multi-tabel, serta constraint guna menjamin integritas data. Hasil pengujian menunjukkan view menurunkan rata-rata waktu eksekusi query menjadi 0,12 detik, trigger menjaga konsistensi tanpa intervensi manual, dan constraint memastikan integritas referensial tercapai 100%. Penerapan mekanisme ini berdampak pada peningkatan kecepatan sistem, berkurangnya redundansi, serta keandalan informasi yang lebih tinggi, sehingga mendukung keberlanjutan Royal Mengajar sebagai platform pembelajaran berbasis kontribusi komunitas.
Kata kunci: basis data; optimasi; trigger; constraint; crowdsourced academic content.
Abstract:Abstract: Conventional water reservoir filling systems often cause inefficiencies due to delays in monitoring or failure of the float system which results in overflowing water from the reservoir. this research aims to develop…
velop an ESP32-based water level monitoring and control system by utilising IoT technology and ultrasonic sensors, this system can facilitate users in monitoring water levels and automating pump control. this research uses the experimental method, starting from system design to system testing and analysis, as well as testing which includes sensor accuracy, system response, and communication stability with the IoT server. based on the results obtained. The test results show that the system has an average accuracy rate of 98.4% with an average response time of 1.8 seconds. based on the results obtained, this system shows a positive accuracy value and response time in its application.
Keywords: blynk; internet of things; monitoring; water level
Abstrak: Sistem pengisian tandon air secara konvensional sering kali menimbulkan ketidakefisienan karena keterlambatan dalam pemantauan atau kegagalan sistem pelampung yang mengakibatkan meluapnya air dari tandon. penelitian ini bertujuan untuk mengembangkan sistem monitoring dan kontrol ketinggian air berbasis ESP32 dengan memanfaatkan teknologi IoT dan sensor ultrasonik, sistem ini dapat memudahkan pengguna dalam memonitoring ketinggian air dan mengotomatisasi kontrol pompa. Penelitian ini menggunakan metode eksperimen, mulai dari perancangan sistem hingga pengujian dan analisis sistem, serta pengujian yang meliputi akurasi sensor, respon sistem, dan kestabilan komunikasi dengan server IoT. Hasil pengujian menunjukkan bahwa sistem memiliki tingkat akurasi rata-rata sebesar 98,4% dengan waktu respon rata-rata 1,8 detik. berdasarkan hasil yang diperoleh, sistem ini menunjukkan nilai akurasi dan waktu respon yang positif dalam pengaplikasiannya.
Kata kunci: blynk; internet of things; pemantauan; tingkat air
Abstract:Abstract: Basically, this region experiences growth every year. The negative impact of uncontrolled population growth will cause social inequality and poverty and affect the progress and prosperity of the region. Judging…
from the number of residents registered with the Population and Civil Registration Service, Siantar Martoba District has a fairly high population growth rate, so it is necessary to predict the future population. In making a prediction, a good method is needed to solve a problem. In this research, a backpropagation algorithm was used using five architectures, namely architecture 4-71-1, 4-31-1, 4-16-1, 4-72-1, 4-83-1. From the results of tests carried out using data on the population of Siantar Martoba, the best architecture was obtained, namely architecture 4-31-1 with a mean squared error for training of 0.00009960 and a mean squared error for testing of 0.000099957 and obtained an epoch of 14012 iterations with a time of 01 minutes 40 seconds. It was concluded that this method can predict the population of Siantar Martoba in the future using Matlab R2011a, thus obtaining a population of Siantar Martoba of 36470 people.
Keywords: architecture; backpropagation; pematangsiantar; population; welfare
Abstrak: Pada dasarnya, wilayah ini mengalami pertumbuhan setiap tahunnya. Dampak negatif pertumbuhan penduduk yang tidak terkendali akan menyebabkan kesenjangan sosial dan kemiskinan dan mempengaruhi kemajuan, kesejahteraan daerah tersebut. Dilihat dari jumlah penduduk yang terdaftar pada Dinas Kependudukan dan Pencatatan Sipil Kecamatan siantar martoba mempunyai laju pertumbuhan penduduk yang cukup tinggi, sehingga perlu dilakukan prediksi jumlah penduduk masa depan. Dalam melakukan sebuah prediksi dibutuhkan sebuah metode yang baik dalam menyelesaikan sebuah permasalahan, dalam penelitian ini digunakan algoritma backpropagation dengan menggunakan lima arsitektur yaitu arsitektur 4-71-1, 4-31-1, 4-16-1, 4-72-1, 4-83-1. Dari hasil pengujian yang telah dilakukan dengan menggunakan data jumlah penduduk siantar martoba diperoleh arsitektur terbaik yaitu arsitektur 4-31-1 dengan nilai mean squared error pelatihan 0.00009960 dan mean squared error pengujian 0.000099957 dan memperoleh epoch 14012 iterations dengan waktu 01 menit 40 detik. Disimpulkan bahwa metode ini dapat memprediksi jumlah penduduk Siantar Martoba di masa depan dengan menggunakan Matlab R2011a, sehingga memperoleh jumlah penduduk siantar martoba sebanyak 36470 Jiwa.
Kata kunci: arsitektur; backpropagation; pematangsiantar; kependudukan; kesejahteraan
Abstract:Abstract: Motorcycles are the main and affordable choice for the majority of Indonesian people, two-wheeled vehicles are chosen as the transportation that is commonly used. Indonesia has many motorcycle users, in 2019 there…
ere were 112,771,136 units. In 2020 there were 115. 023. 039 units, and in 2021 there were 120 .042 .298 units. The many motorcycles, increasing the theft of motorcycles (curanmor), and accidents caused by underage use. The purpose of conducting research to minimize theft, and the use of motorbikes by minors, this research uses quantitative methods. The results of the study found that when the user places the KTP on RC522, the condition of relay 1 will become NC to turn on the motorcycle's ignition system, then relay 2 will turn on the motorcycle's starter for 5 seconds, then it will turn off automatically. for relays, arduino provides pure 5VDC voltage. The conclusion from this study , RFID cards and KTP is have different serials, and different numbers, RFID cards have a serial combination of 9 numbers and letters, while KTP has a serial combination of 27 numbers and letters.
Keywords: KTP; microcontroller arduino; sepeda motor; start enggine.
Abstrak : Sepeda motor menjadi pilihan utama dan terjangkau untuk mayoritas masyarakat Indonesia, kendaraan roda dua dipilih sebagai transportasi yang umum digunakan. Indonesia memiliki banyak pengguna sepeda motor, tahun 2019 sebanyak 112. 771. 136 unit. Tahun 2020 sebanyak 115. 023. 039 unit, dan tahun 2021 sebanyak 120 .042 .298 unit. Banyak nya sepeda motor, meningkatkan pencurian sepeda motor (curanmor), dan kecelakaan yang diakibatkan penggunaan dibawah umur. Tujuan dilakukannya penelitian untuk meminimalisir curanmor, dan pemakaian sepeda motor oleh anak dibawah umur, penelitian ini menggunakan metode kuantitatif. Hasil penelitian mendapati ketika user meletakan KTP pada RC522, maka kondisi relay 1 akan menjadi NC untuk menyalakan sistem pengapian sepeda motor, kemudian relay 2 akan menyalakan stater sepeda motor selama 5 detik, kemudian akan mati secara otomatis. untuk relay, arduino memberikan tegangan 5VDC murni. Kesimpulan dari penelitian ini,kartu RFID dan KTP memiliki serial yang berbeda, dan jumlah yang berbeda, kartu RFID memiliki serial kombinasi 9 angka dan huruf, sementara untuk KTP memiliki serial kombinasi 27 angka dan huruf.
Kata Kunci : KTP; microcontroller arduino; sepeda motor; start enggine.
Abstract:Abstract: Technology is growing rapidly and has become one of the human needs that must be owned to solve the problems being faced. The development of touchless input devices or hand gesture recognition using a camera is…
a form of machine learning. Gestures can define as physical movements of the hands, arms, or body as expressive messages, besides that this hand gesture system can explain the contents of commands that have meaning. In this research, a virtual mouse system will be developed using hand gesture recognition based on the hand landmark model for pointing devices. The resulting application can be run on a desktop device using a webcam. The results of the tests carried out to analyze the implementation of the hand landmark model into the system show that the average system accuracy reaches 96% and the speed reaches 0.05 seconds.
Keywords: hand gesture recognition, hand landmark models, machine learning, virtual mouse
Abstract: Teknologi semakin pesat dan sudah menjadi salah satu kebutuhan manusia yang harus dimiliki untuk menyelesaikan permasalahan yang sedang dihadapi. Perkembangan piranti masukan tanpa sentuhan atau hand gesture recognition menggunakan kamera adalah salah satu bentuk dari machine learning. Gestur mampu mendefinisikan sebagai gerakan fisik dari tangan, lengan, maupun badan sebagai pesan yang ekspresif, selain itu sistem gestur tangan ini mampu menjelaskan isi perintah yang memiliki arti. Dalam penelitian ini akan dikembangkan sebuah sistem virtual mouse menggunakan hand gesture recognition berbasis hand landmark model untuk pointing device. Aplikasi yang dihasilkan dapat dijalankan pada perangkat desktop dengan menggunakan webcam. Hasil dari pengujian yang dilakukan untuk menganalisa penerapan hand landmark model kedalam sistem menunjukkan rata-rata akurasi sistem mencapai 96% dan kecepatan mencapai 0.05 second.
Keywords: hand gesture recognition, hand landmark models, machine learning, virtual mouse