Pendeteksian topik adalah solusi untuk mengungkap struktur laten dalam sebuah dokumen. Kerangka umum pendeteksian topik berbasis clustering terdiri dari dua langkah: pembelajaran representasi dan pendeteksian topik melalui clustering. Dalam penelitian ini, Bidirectional Encoder Representations from Transformers (BERT) digunakan untuk pembelajaran representasi karena BERT mampu menangkap konteks setiap kata berdasarkan kata-kata di sekitarnya. Representasi teks yang diperoleh dari BERT digunakan untuk pendeteksian topik dengan clustering. Deep Embedded Clustering (DEC) dan Improved DEC (IDEC) adalah model clustering berbasis deep learning yang digunakan dalam penelitian ini untuk pendeteksian topik. DEC dan IDEC mampu mengubah data ke dalam ruang dimensi yang lebih rendah serta mengoptimalkan cluster secara simultan. Output dari teknik clustering berupa kata-kata kunci yang menggambarkan setiap topik cluster. Setelah mendapat kata kunci yang mewakili topik, evaluasi model dilakukan dengan melakukan perbandingan nilai topic coherence menggunakan Topic Coherence - Word2Vec (TC-W2V) sebagai analisis kuantitatif. Penelitian ini merupakan perluasan dari penerapan DEC dan IDEC pada pendeteksian topik dengan menambahkan analisis visualisasi dan kata kunci. Simulasi menunjukkan bahwa DEC dan IDEC mengungguli Uniform Manifold  Approximation and Projection (UMAP)-based k-means (UKM) dan Eigenspace-Based Fuzzy C-Means (EFCM) dari segi nilai TC-W2V, hasil visualisasi, dan kata kunci.
 
Kata kunci: analisis teks, deep clustering, pemrosesan teks

Perubahan iklim global dan peningkatan variabilitas cuaca membuat prediksi temperatur udara menjadi salah satu kebutuhan penting di berbagai sektor. Temperatur udara merupakan parameter penting dalam meteorologi yang mempengaruhi berbagai aspek kehidupan manusia. Predisi temperatur udara saat ini banyak memanfaatkan algoritma machine learning, namum nilai akurasi masih belum optimal. Tujuan dari penelitian ini untuk meningkatkan akurasi prediksi temperatur udara rata-rata dengan menggunakan pendekatan berbasis machine learning. Metode dalam penelitian ini menggunakan algoritma Linear Regression dan Support Vector Regression (linier dan gaussian non linear) karena memiliki akurasi prediksi data yang cukup baik di berbagai bidang termasuk bidang hidrologi. Penelitian ini menggunakan data dari Badan Meteorologi Klimatologi dan Geofisika (BMKG) lokasi Stasiun Klimatologi Jawa Timur periode data tahun 2019-2023 dengan parameter cuaca temperatur rata-rata (TAV), kelembaban udara (HAV), kecepatan angin (WAV), curah hujan (RR), tekanan udara (PPP), Penyinaran matahari (SUN) dan titik embun (DEW_POINT). Kinerja model dievaluasi menggunakan pengukuran metrik MSE, RMSE, MAE, MAPE dan R². Hasil pengukuran kinerja model algoritma Gaussian support vector Regression (non linier SVR) lebih baik dibanding dengan linear support vector Regression (linear SVR) dan  algoritma linear regression dengan nilai yang lebih tinggi R² sebesar  0,9891 ± 0,0011 dan nilai error yang lebih rendah pada semua metrik pengukuran.
Kata kunci: Prediksi temperatur udara, machine learning, Linear Regression,  Suport Vektor Regression

Pendidikan Kewarganegaraan berperan penting dalam membentuk warga negara yang memahami hak dan kewajibannya. Penelitian ini bertujuan menganalisis persepsi mahasiswa generasi Z terhadap pembelajaran Pendidikan Kewarganegaraan di Universitas Negeri Semarang. Metode penelitian yang digunakan yaitu metode kualitatif dengan pendekatan studi kasus. Teknik pengumpulan data dengan wawancara, observasi, dan dokumentasi. Wawancara terstruktur dilakukan terhadap 487 responden mahasiswa yang terdiri atas 114 laki-laki dan 373 perempuan berasal dari 9 fakultas di Universitas Negeri Semarang angkatan masuk 2022, 2023, dan 2024. Dokumentasi dengan menggunakan kajian studi pustaka yang relevan. Indikator yang diteliti yaitu 1) permasalahan yang dihadapi mahasiswa, 2) materi pembelajaran, 3) metode pembelajaran, dan 4) efektivitas pembelajaran Pendidikan Kewarganegaraan. Hasil penelitian ini menunjukkan bahwa 1) permasalahan yang dihadapi responden sekarang ini yaitu sifat individualis, pelanggaran terhadap tata tertib, kurangnya penghormatan terhadap nilai-nilai moral, dan sosial. Sementara itu, 2) materi pembelajaran yang penting menurut persepsi responden yaitu materi bela negara, hak asasi manusia, dan demokrasi., 3) persepsi resonden terhadap metode/model pembelajaran yang disukai yaitu diskusi berbasis opini dalam bentuk esai, metode tatap muka (luring), pembelajaran kooperatif, dan pendekatan aktif yang mendorong mahasiswa menjadi kritis, 4) persepsi responden terhadap efektifitas pembelajaran Pendidikan Kewarganegaraan memiliki skor cukup positif berada pada interval 7-9. Kesimpulan penelitian ini yaitu persepsi responden terhadap pembelajaran Pendidikan Kewarganegaran cukup positif dengan keinginan responden untuk memberikan pelatihan pendidikan karakter dan kurikulum kewarganegaraan global.
 

The purpose of this community service activity is to enhance the innovation and product visualization of the Micro, Small, and Medium Enterprise (MSME) Dapur 80 to increase consumer awareness and familiarity with its products. Through observations and interviews, several challenges were identified, including Dapur 80 lacked a consistent visual identity, used simple product packaging, had an unorganized menu, and did not have an appealing business location marker. To address these issues, the activity focused on designing and producing menu catalogs, product stickers, and a neon box—each playing a crucial role in enhancing product appeal. The results indicated successful implementation: catalogs were distributed to resellers, 100 stickers were printed and applied to product packaging, and one neon box was installed at the business location. An evaluation with the owner revealed satisfaction with the developed promotional media. Within just ten days of use, Dapur 80 recorded an increase of 11 new customers. However, the project was limited by its relatively short duration of one month, which constrained the measurement of long-term impacts. Despite this limitation, the community service activity contributed significantly to improving Dapur 80’s sales performance, demonstrating that enhanced product visualization can attract consumer attention, stimulate demand, and increase turnover.

The light steel roll forming machine is a tool used in the manufacturing industry to continuously shape steel sheets into specific profiles. Efficiency and accuracy in production heavily depend on the control system employed. This article discusses the implementation of an automatic control system in a light steel roll forming machine, focusing on the use of sensors, actuators, and a microcontroller-based control system. Additionally, the system is equipped with a digital printing machine to directly print product branding and light steel specifications. The research results indicate that the application of an automatic control system enhances product precision, improves production efficiency, and reduces the defect rate.

This research was conducted at The Ministry of Religion of Bekasi where there is a special division to serve Hajj Program for prospective Hajj at Bekasi City. The benefits of this research is every employees who working in The Ministry of Religion of Bekasi and prospective pilgrims user can using this information system of Haji Pintar with a efficiently by the time. There is two division that get attention in this research between Hajj and Umroh Services Agency also the employees that working inside The Ministry of Religion of Bekasi. Information System of Haji Pintar will be used very useful from doing the process of sign up in online way so there is no need to visit again. Beside that make it easier for every employees to processing data entry into the haji pintar database. In the future all the things of people is already familiar with the method of hajj sign in by online with this application to make it easier for valid providing information regarding the hajj program.

Energy audit is a technique used to obtain the efficiency of a building with a certain method. Continuous research implementation is expected to be able to identify electrical efficiency and the purpose of data analysis is to obtain electrical energy efficiency to calculate the Energy Consumption Intensity (IKE) value in the building. Energy audits can also be carried out at any time or according to a predetermined schedule. Regular monitoring of energy usage is a must to find out the amount of energy used in each part of the operation during a certain period of time. Thus, savings efforts can be made.

In the beginning, the Natural and Social Sciences (IPAS) Learning Activities in Grade III of Elementary School 116/X Lambur II used a learning model that was not varied, especially still using conventional learning models, so that the learning process in the classroom did not use technology at all. The lack of use of learning models that were less varied, coupled with learning media that only relied on books, made students feel bored and less interested in participating in learning. This research is a Classroom Action Research (CAR) which was carried out in two cycles consisting of planning, implementation, observation and reflection. The subjects in this study were Grade III students of Elementary School 116/X Lambur II. Data analysis techniques: data reduction, data presentation, and conclusions or verification, while data sources: resource persons, documentation, and teaching and learning processes. The results of this study indicate that there is an increase in students' creative thinking skills. Starting from the pre-cycle of learning activities that have not used the Game Based Learning model, student learning outcomes are only 5 out of 20 students who are said to have completed with a percentage of 20% with an average score of 49. Furthermore, from the results of the cycle I action, the minimum score has not been reached, so the study was continued in the cycle II action by making several improvements from the results of the cycle I reflection. From the results of the cycle II action, there was an increase where 18 out of 20 students were declared complete with a percentage of completion of 90% and obtained an overall average score of 85.

This study aims to examine the Influence of Leadership Style, Work Environment, and Rewards on Employee Performance at Lulu Hypermarket Department Store BSD Tangerang Branch. The method used is multiple linear regression analysis method using SPSS software version 22. And the technique used is Non Probability Sampling with saturated sampling type. The results of this study indicate the regression value is Y = 34.997 + 0.401 X1 -0.409 X2 +0.082 X3 + ? That Leadership Style (X1) has a significant effect on Employee Performance, This shows the importance of the role of a leader/manager in improving employee performance to achieve organizational goals. Work Environment (X2) has a negative and significant effect on Employee Performance, This shows that an unsupportive Work Environment can reduce Employee Performance. While Rewards (X3) have no effect and are not significant on Employee Performance (Y), Recognition or giving gifts is still very important to improve Employee Performance. The contribution of the three independent variables R2 is 33.3% to Employee Performance (Y) and the remaining 66.7% is influenced by other factors.

Learning interest is the tendency of students to engage in learning activities driven by the desire to achieve optimal results. However, the learning interest of fifth-grade students at MIS Nurul Yaqin remains low. This study aims to enhance students' learning interest in IPAS subjects through the implementation of the Quantum Teaching and Learning model, which focuses on teachers' management of the learning process, from planning and instruction to evaluation. The research method used is the Kemmis and McTaggart action research model, which consists of four stages. The findings indicate that teacher activity increased from 73% in cycle I to 91% in cycle II, classified as very good. Similarly, student activity improved from 70.53% in cycle I to 86.25% in cycle II, also categorized as very good. These results demonstrate that the implementation of the Quantum Teaching and Learning model effectively enhances students' learning interest in IPAS subjects in fifth grade at MIS Nurul Yaqin.