Optimization of CNC Turning Parameters for Surface Roughness of Brass 36000 Using the Taguchi Method

Brass is widely used in industrial applications due to its excellent machinability and durability, making it well suited for CNC turning operations. Although numerous studies have investigated the optimization of turning parameters, variations in machine tools and cutting conditions often lead to differing conclusions. This study aims to optimize surface roughness in the CNC turning of Brass 36000 using the Taguchi method. An L9 orthogonal array was employed to evaluate the effects of spindle speed, feed rate, depth of cut, and coolant type. Experimental data were analyzed using signal-to-noise (S/N) ratio analysis and analysis of variance (ANOVA) to identify the most influential parameters and optimal cutting conditions. The results indicate that feed rate is the dominant factor affecting surface roughness, contributing 95.54% of the total variation, followed by spindle speed (1.88%), depth of cut (0.33%), and coolant type (0.18%). The optimal machining parameters were determined as a spindle speed of 1700 rpm, feed rate of 0.1 mm/rev, depth of cut of 1.0 mm, and the use of synthetic coolant (GT41), resulting in a minimum surface roughness of 0.67 µm. These findings demonstrate that precise control of feed rate is critical for achieving improved surface quality in CNC turning of brass

PELATIHAN DAN PENDAMPINGAN GURU MIS RAUDHATUL JANNAH DALAM IMPLEMENTASI KURIKULUM KODING DAN KECERDASAN ARTIFISIAL (AI)

Madrasah Ibtidaiyah Swasta (MIS) Raudhatul Jannah menghadapi tantangan dalam mengintegrasikan teknologi koding dan Kecerdasan Artifisial (AI) ke dalam kurikulum pembelajaran akibat keterbatasan infrastruktur dan kompetensi guru. Kegiatan pengabdian masyarakat ini bertujuan untuk menjembatani kesenjangan tersebut melalui pelatihan dan pendampingan intensif bagi tenaga pendidik. Metode pelaksanaan menggunakan pendekatan Participatory Action Research (PAR) yang meliputi fase sosialisasi, workshop teknis, pendampingan kelas (co-creation), serta evaluasi. Hasil kegiatan menunjukkan adanya eskalasi kompetensi digital guru yang signifikan, dengan peningkatan skor rata-rata dari 42,0 menjadi 88,7. Transformasi paling menonjol terlihat pada kemahiran Prompt Engineering dan penggunaan platform kreatif. Selain itu, implementasi metode Game-Based Learning (GBL) terbukti efektif sebagai solusi substitutif atas keterbatasan perangkat keras, meningkatkan retensi pemahaman siswa hingga 65%. Program ini juga berhasil membentuk kemandirian institusional melalui Kelompok Kerja (Pokja) Teknologi dan penyerahan aset repositori digital. Kesimpulannya, melalui pendekatan pedagogik yang adaptif, madrasah mampu mentransformasi keterbatasan sarana menjadi peluang inovasi pembelajaran digital yang berkelanjutan

Analysis of Spotify Song Popularity Based on Audio Features Using Random Forest

The rapid growth of digital music streaming platforms such as Spotify has significantly increased competition among songs, making popularity an important yet difficult aspect to predict. Understanding the factors that influence song popularity is essential for musicians, producers, and digital platforms in developing effective promotion strategies and recommendation systems. This study aims to analyze the relationship between Spotify audio features and song popularity using a data science approach. The dataset used in this study consists of songs described by various audio features, including danceability, energy, loudness, tempo, acousticness, instrumentalness, valence, and track duration, with popularity serving as the target variable. An exploratory data analysis (EDA) was conducted to examine the distribution of popular and non-popular songs, analyze correlations among audio features, and visualize the relationships between selected audio features and popularity. The results show that the dataset is highly imbalanced, with non-popular songs dominating the overall distribution. Correlation analysis indicates strong relationships between certain audio features, particularly between energy and loudness, while the linear correlation between individual audio features and popularity is relatively weak. Scatter plot visualizations suggest that popular songs tend to have higher levels of danceability, energy, and loudness compared to non-popular songs. However, no single feature can adequately explain popularity on its own, suggesting that a combination of multiple audio characteristics influences song popularity. This research provides an initial insight into the relationship between Spotify audio features and song popularity and serves as a foundation for future studies applying machine learning models, such as Random Forest, for popularity prediction

PEMANFAATAN KECERDASAN BUATAN UNTUK UMKM DAN MASYARAKAT DALAM MENINGKATKAN KESEJAHTERAAN MELALUI PEMANFAATAN TEKNOLOGI DIGITAL

Transformasi digital merupakan kunci peningkatan daya saing dan kesejahteraan masyarakat di era ekonomi digital untuk meningkatkan literasi digital dan pemanfaatan teknologi kecerdasan buatan (AI) bagi pelaku Usaha Mikro, Kecil, dan Menengah (UMKM) di Kelurahan Duri Kepa, Jakarta Barat. Masalah utama yang dihadapi masyarakat setempat adalah rendahnya pemahaman terhadap teknologi digital serta minimnya penerapan AI dalam proses produksi dan pemasaran usaha. Kegiatan dilakukan melalui pelatihan dan pendampingan intensif dengan melibatkan pelaku UMKM. Evaluasi dilakukan dengan pendekatan kuantitatif dan kualitatif melalui pre-test, post-test, observasi, serta wawancara mendalam. Hasil kegiatan menunjukkan adanya peningkatan signifikan pada aspek pengetahuan, keterampilan, dan sikap peserta terhadap penggunaan teknologi AI. Sebagian besar peserta 80% menyatakan bahwa penggunaan teknologi AI, seperti ChatGPT dan Canva, sangat membantu mempercepat proses promosi dan komunikasi dengan pelanggan. Hal ini membuktikan bahwa pendekatan pelatihan yang berbasis praktik langsung sangat efektif. Sekitar 65% peserta menyadari adanya peningkatan interaksi pelanggan, terutama di media sosial setelah menerapkan AI untuk membuat konten digital dan menjawab pertanyaan pelanggan. Ini mengindikasikan AI mampu meningkatkan engagement pelanggan terhadap produk/layanan UMKM. Tingginya minat untuk pelatihan lanjutan (68%) menunjukkan bahwa kegiatan ini membangkitkan kesadaran dan semangat belajar berkelanjutan di kalangan pelaku UMKM.Kegiatan ini berpotensi direplikasi di wilayah lain sebagai strategi pemberdayaan ekonomi masyarakat berbasis teknologi

PENGARUH KUALITAS PRODUK, HARGA DAN CITRA MEREK TERHADAP KEPUTUSAN PEMBELIAN SMARTPHONE APPLE DI JAKARTA

Penelitian ini meneliti tentang faktor yang mempengaruhi keputusan pembelian Smartphone Apple dengan variabel kualitas produk, harga dan citra merek. Objek penelitian ini adalah konsumen Smartphone Apple. Penelitian ini dilakukan terhadap 132 responden dengan menggunakan pendekatan deskriptif kuantitatif. Pendekatan yang digunakan dalam penelitian ini adalah Structural Equation Model (SEM) dengan alat analisis Smart-PLS. Hasil penelitian ini menyatakan bahwa variabel kualitas produk, harga dan citra merek berpengaruh positif dan signifikan terhadap keputusan pembelian Smartphone Apple Di Jakarta.Kata Kunci: Kualitas Produk, Harga, Citra Merek, Keputusan Pembelian

Exploring the Psychosocial Dynamics of Pornography Consumption among Young Adult Women

Pornography consumption among women has received limited attention in psychological research, as most studies primarily focus on men while female sexuality often remains socially sensitive. This study explores the psychosocial dynamics of pornography consumption among young adult women. A qualitative approach using thematic analysis was employed. Five women aged 18–25 years participated in semi-structured in-depth interviews. The findings indicate that pornography use commonly began with curiosity or accidental exposure through digital media and gradually developed into habitual behavior. For several participants, pornography functioned as a coping strategy to regulate negative emotions such as stress, loneliness, and emotional distress. Participants also reported various psychological and relational impacts, including guilt, intrusive thoughts, reduced concentration, and conflicts with personal moral and religious values. Social and cultural expectations toward women further intensified feelings of shame and negative self-evaluation. Beyond addictive behavioral patterns, the study also identified recovery processes involving emotional reflection and identity reconstruction. These findings highlight that pornography use among young adult women reflects complex psychosocial processes shaped by emotional needs, gender norms, and sociocultural contexts, emphasizing the importance of gender-sensitive psychological services and digital sexual education

Religiosity and Sense of Meaning in Life among Undergraduate Students

Meaning in life is a fundamental element that shapes how individuals interpret their world. Religion serves as one of the primary sources of meaning in life. This study aimed to examine the relationship between religiosity and sense of meaning in life during emerging adulthood. A non-experimental correlational design with quantitative primary data was employed, collected through the CRS-15 TII questionnaire and the Meaning in Life Questionnaire. Convenience sampling was utilized; however, participant representativeness was enhanced through probability sampling across various faculties at Universitas Padjadjaran. A total of 71 respondents were recruited through questionnaires distributed via Google Form, Line, and WhatsApp. Results indicated a substantial relationship between religiosity and the presence of meaning, but no significant association with the search for meaning. The majority of respondents demonstrated high scores in religiosity, presence of meaning, and search for meaning. These findings underscore the importance of religiosity as a source of meaning in life during emerging adulthood and open avenues for further research and the development of faith-based programs

Analisis Efisiensi Penyerapan Daya Solar Tracker Dual Axis Dinamis dan Statis Pada Beban 250 Watt

Kebutuhan energi listrik yang besar adalah salah satu tantangan nasional yang perlu menjadi prioritas kita bersama. Dengan memanfaatkan energi matahari yang lebih efisien berbasis solar panel mungkin bisa menjadi salah satu upaya dalam menyediakan sumber energi alternatif yang lebih baik. Memang, saat ini masih banyak perdebatan manakah yang memiliki efisiensi lebih baik, menggunakan sistem solar panel bergerak (dinamis, sistem tracker) atau sistem yang tidak bergerak (statis). Penelitian ini dilakukan menggunakan metode kualitatif dengan pengumpulan data percobaan selama 6 hari: 3 hari pertama tidak menggunakan beban dan 3 hari berikutnya menggunakan beban. Data yang didapat seperti tegangan (V) dan arus (I) dari solar panel berdasarkan iradiasi intensitas cahaya matahari (watt/m²) telah dihitung dan dibandingkan untuk mencari efisiensi antara kedua sistem tersebut. Kita tahu bahwa besar kecilnya intensitas iradiasi matahari terhadap sistem solar panel statis dan dinamis sangat dipengaruhi oleh cuaca. Perubahan cuaca selama proses penelitian cukup mempengaruhi output tegangan dan arus sistem keseluruhan. Semakin besar iradiasi matahari maka akan menghasilkan daya yang lebih besar. Sedangkan efisiensi dipengaruhi oleh hubungan P(in) dan P(out). Semakin besar P(out) yang dihasilkan maka hasil perhitungan efisiensi terhadap P(in) semakin besar. Hasil pengujian menggunakan beban solar panel dinamis dan statis memiliki rata-rata selisih sebesar 1,53 % dimana efisiensi solar panel dinamis 3,68% dan solar panel statis 2,15%. Pengujian menggunakan beban rata-rata efisiensi solar panel dinamis 3,42% dan statis 2,64%, maka efisiensi kedua sistem tersebut memiliki selisih sebesar 0,78 %

ANALISIS POSITIONING KEDAI COFFE KATA RASA BERDASARKAN PERSEPSI PELANGGAN DI JAKARTA

Abstrak Coffe Shop yang tumbuh di kota – kota besar tumbuh dengan pesat, sejalannya dengan meningkatnya gaya hidup dan mobilitas tinggi, pertumbuhan coffe shop di Jakarta sangat pesat, sebagai salah satu kota industri. Tujuan dari penelitian ini untuk Menyusun peta posisi (positioning map) dari top brand coffee shop di Jakarta berdasarkan persepsi pelanggan. Top brand coffee shop di Jakarta adalah Janji Jiwa,, Kopi Kenangan, Fore Coffe dan Family Mart. Metode penelitian yang digunakan adalah metode analitis deskriptif kualitatif dalam positioning map antar coffee shop yang meliputi lima parameter menurut persepsi pelanggan dengan jumlah responden sebanyak 60 orang. Hasil penelitian bahwa pelanggan kedai kopi Kata Rasa memiliki harga yang kompetitif dibandingkan kompetitor lain. Dengan demikian, analisa SWOT untuk kedai Kopi Kata & Rasa mempertimbangkan strategy S-O untuk memperluas marke

STRATEGI COPYWRITING PADA IKLAN TIKTOK: ANALISIS KUALITATIF ATAS DAYA TARIK PESAN DI MEDIA VIDEO PENDEK

The rapid development of the TikTok platform has transformed how brands build marketing communication in the digital environment. With its short-video format, advertising messages must be concise, clear, and engaging within a very limited time. Copywriting plays a crucial role in determining whether audiences stay, interact, or take further action. This study aims to analyze the application of copywriting techniques in TikTok advertisements and identify patterns that contribute to message effectiveness, supported by the AIDA model as a persuasive communication framework. This research employed a descriptive qualitative approach by observing 15 TikTok advertisements from beauty, culinary, education, digital applications, and service categories. Data were collected through video observation, caption documentation, audience responses, and narrative transcription, then analyzed using thematic analysis. The results show that effective TikTok copywriting is influenced by strong opening hooks, relevant mini storytelling, casual language styles, and explicit calls to action. These findings emphasize the importance of adapting persuasive communication strategies to the characteristics of short-video platforms and provide practical insights for brands in optimizing TikTok advertising content