Abstract:Young women in orphanages often experience psychosocial challenges, such as low self-esteem and experiences of bullying, which affect their emotional and social well-being. This service aims to improve self-concept through…
gh a peer group approach as a self-management strategy against the impact of bullying. The methods used include focused group discussions (FGD), education, peer group formation, role play, mentoring, and evaluation. The results show an increase in self-concept understanding, the formation of an active and supportive peer group, improvement in self-management skills, increased self-confidence, the development of peer group modules or guides, and the establishment of sustainable partnerships. Pre-test to post-test scores increased by an average of 1.4 points. Peer groups are effective in creating a safe environment and strengthening positive interactions between adolescents. This intervention has a positive impact on the psychosocial aspect and has the potential to be replicated in other orphanages as a form of promotive and preventive mental health. Cross-sectoral support, such as caregivers, educators, and health workers, is needed for sustainable programs and optimal results.
Keywords: bullying; self-concept; orphanage; peer group; young women
Abstrak: Remaja putri di panti asuhan sering mengalami tantangan psikososial, seperti rendahnya konsep diri dan pengalaman bullying, yang memengaruhi kesejahteraan emosional dan sosial mereka. Pengabdian ini bertujuan meningkatkan konsep diri melalui pendekatan peer group sebagai strategi manajemen diri terhadap dampak bullying. Metode yang digunakan meliputi diskusi kelompok terfokus (FGD), edukasi, pembentukan kelompok sebaya, role play, pendampingan, dan evaluasi. Hasil capaian menunjukkan peningkatan pemahaman konsep diri, terbentuknya peer group yang aktif dan suportif, peningkatan kemampuan manajemen diri, peningkatan rasa percaya diri, tersusunnya modul atau panduan peer group dan terjalinnya kemitraan berkelanjutan. Skor pre-test ke post-test naik rata-rata 1,4 poin. Peer group terbukti efektif menciptakan lingkungan aman dan memperkuat interaksi positif antarremaja. Intervensi ini memberikan dampak positif pada aspek psikososial dan berpotensi direplikasi di panti lain sebagai bentuk promotif dan preventif kesehatan mental. Dukungan lintas sektor seperti pengasuh, pendidik, dan tenaga kesehatan diperlukan agar program berkelanjutan dan hasilnya optimal.
Kata kunci: bullying; konsep diri; panti asuhan; peer group; remaja putri
Abstract:The increased use of technology in education has encouraged the development of e-learning platforms that can provide effective and affordable learning experiences. However, the scalability and viability of e-learning platforms…
tforms is often a challenge in the face of an increasing number of users and workloads. In this dedication, we propose the use of mi-croservice architecture in e-learning platforms to optimize scalability and maintain platform viability. We design and implement a microservice-based e-learning platform consisting of independent microservices, such as user management, course management, content management, and grading systems. We implement standardized API mechanisms for interactions between these microservices. We also vertically increase CPU capacity on each microservice instance to address increased workloads. We also observed that the use of microservices architecture makes it easy to maintain, develop, and integrate new features into the platform. In this overall dedication, we show that the implementation of microservices on e-learning platforms is able to provide optimal scalability and maintain the continuity of the platform in the face of increasing user needs
Keywords: e-learning; microservice; skalabilitas; kinerja; monolitik
Abstract: Peningkatan penggunaan teknologi dalam pendidikan telah mendorong perkembangan platform e-learning yang dapat memberikan pengalaman pembelajaran yang efektif dan terjangkau. Namun, skalabilitas dan kelangsungan platform e-learning sering menjadi tantangan dalam menghadapi peningkatan jumlah pengguna dan beban kerja. SMK Swasta As-Syifa Kisaran menggunakan platform E-learning berbasis monolitik yang menyebabkan semakin banyak aktivitas platform digunakan semakin berat. Beberapa tahapan dilakukan dimulai dengan identifikasi masalah, perencanaan dan desain program, pelaksanaan, evaluasi dan analisis, serta penyusunan dan publikasi laporan. Arsitektur monolitik sebelumnya yang diterapkan perlu diperbaharui dengan arsitektur microservice bertujuan untuk mengoptimalkan skalabilitas dan menjaga kelangsungan platform E-Learning. Permasalahan pada penggunaan traffic yang tinggi dan berfokus pada satu server semakin lama semakin membebani server. Berdasarkan masalah tersebut maka layanan dipecah menjadi beberapa layanan webservice menggunakan arsitektur microservice yang terdiri dari layanan-microservice independen, seperti manajemen pengguna, kursus, konten, dan sistem penilaian. Peningkatan kapasitas CPU secara vertikal diperlukan sehingga microservice dapat mengatasi peningkatan beban kerja server. Hasil implementasi microservice yang diterapkan pada platform e-learning SMK As-Syifa mampu memberikan skalabilitas yang optimal untuk kelangsungan platform dalam menghadapi peningkatan kebutuhan pengguna
Kata kunci: e-learning; microservice; scalability; performance; monolitik
Abstract:Abstract: The increasing cases of covid-19 have an impact on the economy in Indonesia, especially on micro, small and medium enterprises (MSMEs). local communities who during this pandemic experienced a decline in income.…
. Shoppers are starting to rarely come to the market and shop in person because of their fear of contracting Covid-19 and avoiding crowds that have been advised by the government. The digitalization of traditional people's markets is needed to improve the economy and reduce the spread of the covid-19 virus. The results of interviews with traders show the lack of sales at Rare Angon Market because few people know about the market. the method used by distributing questionnaires to find out in detail the existing problems. From these problems, a solution is needed to bridge between traders and buyers, this solution is in the form of digitizing the Rare Angon market by developing an application called "Rare Angon App" where the application is used for buying and selling interactions by traders and buyers. So that sales in the Rare Angon market can increase.
Keywords: E-commerce; traditional market; information technology
Abstrak: Meningkatnya kasus covid-19 berdampak pada perekonomian di Indonesia terutama pada usaha mikro kecil meneengah (UMKM) hal ini dapat dilihat dari pasar-pasar rakyat di Bali yaitu Pasar Rare Angon yang berlokasi di desa Gunaksa, kecamatan Dawan kabupaten Klungkung dengan mayoritas pedangannya adalah warga didaerah setempat yang dimasa pandemi ini mengalami penurunan pendapatan. Para pembeli mulai jarang datang ke pasar dan berlanja secara langsung karena ketakutan mereka tertular covid-19 dan menghindari kerumunan yang sudah dihimbau oleh pemerintah. Diperlukannya digitalisasi pasar rakyat yang bersifat tradisional untuk meningkatkan perekonomian dan mengurangi penyebaran virus covid-19. Hasil wawancara dengan pedagang menunjukkan minimnya penjualan di Pasar Rare Angon karena masih sedikit masyarakat yang tau pasar tersebut. metode yang digunakan dengan penyebaran kuesioner untuk mengetahui secara detail permasalahan yang ada. Dari permasalahan tersebut diperlukannya solusi untuk untuk menjembatanni antara pedagang dan pembeli, solusi ini berupa digitalisasi pasar Rare Angon ini dengan membuatkan aplikasi yang diberi nama “Rare Angon App†dimana aplikasi tersebut digunakan untuk interakasi jual beli oleh pedagang dan pembeli. Sehingga penjualan dipasar Rare Angon bisa mengalami peningkatan.
Kata kunci: E-commerce; pasar tradisional; teknologi informasi
Abstract:Abstract: The use of QR Codes in academic settings has increased with the digitization of attendance systems, but it has also introduced potential abuse in the form of quishing attacks (QR phishing). Previous studies have…
e mainly focused on user behavior, while forensic analysis of digital artifacts as evidence is still limited. This study aims to conduct a forensic analysis of browser artifacts resulting from interactions with dangerous QR Codes at Aisyiyah University Yogyakarta using the framework of the National Justice Institute (NIJ). Six investigation parameters are defined: domain identification, endpoint identification, identification of supporting resources, visualization of image artifacts, timestamp correlation, and HTML reconstruction. Data is obtained from the Google Chrome profile directory and analyzed using Autopsy, focusing on Web Cache, Browser History, and Cookies artifacts. The results showed that five parameters were successfully identified with an investigation success rate of 83.3%, while HTML reconstruction could not be fully achieved due to cache limitations. These findings show that Web Cache artifacts provide evidentiary value in the forensic investigation of QR Code-based attacks. Future research should focus on improving full-page reconstruction techniques.
Keywords: browser forensics; digital artifacts; NIJ; quishing; Web Cache
Abstrak: Penggunaan Kode QR di lingkungan akademik telah meningkat seiring dengan digitalisasi sistem absensi, tetapi juga menimbulkan potensi penyalahgunaan dalam bentuk serangan phishing (QR phishing). Studi sebelumnya sebagian besar berfokus pada perilaku pengguna, sementara analisis forensik artefak digital sebagai bukti masih terbatas. Studi ini bertujuan untuk melakukan analisis forensik artefak browser yang dihasilkan dari interaksi dengan Kode QR berbahaya di Universitas 'Aisyiyah Yogyakarta menggunakan kerangka kerja Lembaga Kehakiman Nasional (NIJ). Enam parameter investigasi didefinisikan: identifikasi domain, identifikasi titik akhir, identifikasi sumber daya pendukung, visualisasi artefak gambar, korelasi stempel waktu, dan rekonstruksi HTML. Data diperoleh dari direktori profil Google Chrome dan dianalisis menggunakan Autopsy, dengan fokus pada artefak Cache Web, Riwayat Browser, dan Cookie. Hasil menunjukkan bahwa lima parameter berhasil diidentifikasi dengan tingkat keberhasilan investigasi sebesar 83,3%, sementara rekonstruksi HTML tidak dapat sepenuhnya dicapai karena keterbatasan cache. Temuan ini menunjukkan bahwa artefak Cache Web memberikan nilai bukti dalam investigasi forensik serangan berbasis Kode QR. Penelitian selanjutnya harus fokus pada peningkatan teknik rekonstruksi halaman penuh.
Kata kunci: forensik peramban; artefak digital; NIJ; quishing; web cache
Abstract:Abstract: The rapid growth of e-commerce in Indonesia has increased consumer interactions with digital platforms, particularly Lazada, Tokopedia, and Blibli, resulting in a large volume of customer reviews that reflect consumer…
onsumer experiences and perceptions but have not been optimally utilized in business decision-making. The main issue addressed in this study is how to process customer review data to generate meaningful information regarding consumer opinions. This research aims to apply web scraping techniques to collect customer review data and conduct sentiment analysis to identify trends in consumer opinions across the three e-commerce platforms. The dataset consists of 3,000 customer reviews, with 1,000 reviews collected from each platform, covering aspects such as shopping experience, service quality, delivery process, and customer satisfaction. The research methodology includes data collection through web scraping, text preprocessing for data cleaning and normalization, sentiment analysis using machine learning approaches, and visualization of sentiment results. The findings indicate differences in the distribution of positive, negative, and neutral sentiments across platforms, reflecting variations in consumer experiences and service strategies. These results demonstrate that sentiment analysis based on customer reviews can serve as strategic input to improve service quality, business performance, and marketing strategies in Indonesia’s e-commerce sector.
Keywords: customer reviews; digital services; e-commerce; sentiment analysis; web scarping
Abstrak: Pertumbuhan pesat e-commerce di Indonesia meningkatkan interaksi konsumen dengan platform digital, khususnya Lazada, Tokopedia, dan Blibli, yang menghasilkan ulasan pelanggan dalam jumlah besar sebagai cerminan pengalaman dan persepsi konsumen, namun belum dimanfaatkan secara optimal dalam pengambilan keputusan bisnis. Permasalahan utama penelitian ini adalah bagaimana mengolah data ulasan tersebut agar dapat memberikan informasi yang bermakna mengenai opini konsumen. Penelitian ini bertujuan menerapkan web scraping untuk mengumpulkan data ulasan pelanggan serta melakukan analisis sentimen guna mengidentifikasi tren opini konsumen pada ketiga platform e-commerce tersebut. Data yang digunakan berjumlah 3.000 ulasan pelanggan, dengan masing-masing platform diwakili oleh 1.000 ulasan yang mencakup pengalaman berbelanja, kualitas layanan, proses pengiriman, dan tingkat kepuasan pelanggan. Metode penelitian meliputi pengambilan data menggunakan web scraping, pra-pemrosesan teks untuk pembersihan dan normalisasi data, analisis sentimen dengan pendekatan pembelajaran mesin, serta visualisasi hasil sentimen. Hasil penelitian menunjukkan adanya perbedaan distribusi sentimen positif, negatif, dan netral pada setiap platform, yang mencerminkan variasi pengalaman konsumen dan strategi layanan. Temuan ini menunjukkan bahwa analisis sentimen berbasis ulasan pelanggan dapat menjadi masukan strategis untuk meningkatkan kualitas layanan, kinerja bisnis, dan strategi pemasaran e-commerce di Indonesia.
Kata kunci: customer reviews; digital services;e-commerce;sentiment analysis;web scarping
Abstract:Abstract: The Halodoc application, as a digital healthcare service platform, has been widely used for various medical purposes, such as doctor consultations, medication purchases, and laboratory services. User interactions…
ns and reviews play a crucial role in enhancing service quality. Sentiment analysis was conducted using the Support Vector Machine (SVM) method to assess user perceptions and satisfaction based on reviews obtained from the Google Play Store platform. The analysis process included data collection, text preprocessing, data transformation using TF-IDF, and training an SVM model to predict sentiment. The model achieved its highest accuracy of 88.32% in the first scenario. However, accuracy slightly decreased in the second and third scenarios, reaching 86.25% and 86.94%, respectively. The analysis results indicated that the model performed best in the first scenario, with the lowest number of prediction errors. Additionally, the model was more accurate in classifying negative and positive sentiments than neutral ones.
Keywords: halodoc application; sentiment analysis; support vector machine algorithm
Abstrak: Aplikasi Halodoc, sebagai platform layanan kesehatan digital, telah banyak digunakan untuk berbagai keperluan medis seperti konsultasi dokter, pembelian obat, dan layanan laboratorium. Interaksi pengguna dan ulasan mereka memiliki peran krusial dalam meningkatkan mutu layanan. Analisis sentimen dilakukan dengan menggunakan metode Support Vector Machine (SVM) untuk mengetahui persepsi dan kepuasan pengguna berdasarkan ulasan yang diperoleh dari Platform Google Play Store. Proses analisis mencakup pengumpulan data, pra-pemrosesan teks, transformasi data menggunakan TF-IDF, dan pelatihan model SVM untuk memprediksi sentimen. Hasil pelatihan model dengan akurasi tertinggi sebesar 88,32% pada skenario pertama. Akurasi sedikit menurun pada skenario kedua dan ketiga, masing-masing sebesar 86,25% dan 86,94%, Hasil analisa menunjukkan bahwa model memiliki performa terbaik pada skenario pertama dengan jumlah kesalahan prediksi terkecil. Selain itu, model cenderung lebih akurat dalam mengklasifikasikan sentimen negatif dan positif dibandingkan netral..
Kata kunci: algoritma support vector machine; analisis sentimen; aplikasi halodoc
Abstract:This study aims to determine the effect of manure dosage and types of plant growth regulators (PGRs), as well as their interaction, on the generative phase of bird’s eye chili plants (Capsicum frutescens L.) in order to…
o improve productivity, which remains fluctuating due to suboptimal cultivation practices. The research was conducted from February to March 2026 at the experimental field of the Pusat Riset Bisnis Kopbun Suka Tani Sejahtera, Kota Juang District, Bireuen Regency, using a factorial Randomized Block Design (RBD) of 4 × 3 with three replications. The first factor was the dosage of manure (control, 1 kg/plant, 1.5 kg/plant, and 2 kg/plant), while the second factor was the type of natural PGR (onion extract, rice water, and coconut water). Data were collected through direct observations on several parameters, including number of fruits, fruit weight, fresh biomass weight, root fresh weight, and root length, and were then analyzed to determine the effects of treatments and their interactions.
The results showed that certain doses of manure had a significant effect on increasing yield and root growth, while natural PGRs were able to enhance flowering, reduce flower drop, and accelerate fruit formation. The interaction between both treatments indicated that the optimal combination produced higher results compared to single treatments. The novelty of this study lies in the use of a combination of manure and natural PGRs based on local materials as a strategy to improve the generative phase. The implications of this research are expected to serve as a scientific reference for the development of sustainable cultivation techniques, as well as learning material and further research in the fields of agronomy and horticulture.
Abstract:The rapid advancement of digital technology and artificial intelligence (AI) in the twenty-first century has fundamentally transformed the structure of modern constitutional governance. Digitalization has reshaped the interactions…
teractions between governments and citizens, altered the patterns of political participation, and presented major challenges to constitutional principles. This study aims to analyze the implications of technological development for constitutional law and propose the concept of a digital constitution as an adaptive framework in the AI era. This study employs a normative legal method, using both conceptual and statutory approaches. Legal materials consist of primary, secondary, and tertiary sources, which are analyzed qualitatively and descriptively. The findings reveal that, while digital transformation enhances governmental efficiency and public transparency, it also generates serious risks, including data misuse, digital surveillance, and political disinformation. These dynamics demand a reinterpretation of constitutional norms to protect citizens' digital rights in cyberspace. The concept of a digital constitution is proposed as a normative response that integrates digital rights into constitutional rights and reaffirms the principle of the rule of law within technological governance. To achieve a democratic and just constitutional order, it is crucial to strengthen regulatory frameworks, ensure algorithmic accountability, and foster collaboration among state institutions, civil society, and the private sector. Ultimately, constitutional law must evolve into an adaptive, transparent, and fair system that can address the profound challenges of the digital and AI-driven era.
Abstract:This study aims to develop a comprehensive constellation model and identify optimal strategies for strengthening lecturers’ professional commitment in the largest private universities in Bogor. Penelitian ini mengkaji secara…
secara mendalam bagaimana emosi dan belajar sosial memengaruhi proses pembelajaran di sekolah dasar melalui perspektif neuropedagogik dan brain‑based learning. A mixed methods approach was used by combining quantitative analysis (meta-analysis of 173 respondents and 47 indicators of NP, EC, OB, MS, BS) and descriptive qualitative analysis using thematic analysis techniques on semi-structured interviews with five elementary school teachers. The meta-analysis results showed a very strong average effect of the latent construct relationship (t(128) = 12.92; p < 0.001; r ≈ 1.00) with almost zero heterogeneity (Qₑ(128) = 1.67; τ² = 0; I² = 0%), and no significant moderating effects were found for all indicators; the partial meta-regression coefficients for all items were very close to zero and the R² value was 0.000. Qualitatively, three main themes emerged: (1) positive emotions as the foundation of learning readiness, (2) social interaction as a reinforcement of meaning formation, and (3) contextual learning that integrates cognitive, emotional, and social dimensions. Although most teachers have not yet mastered the concepts of neuropedagogy and brain-based learning theoretically, they have intuitively implemented its principles through motivation, praise, humor, group work, collaborative projects, and learning experiences relevant to students' real lives. These findings support the latest theory that places emotions and social interactions as the main drivers of brain function in learning (Immordino Yang, 2016; Tyng et al., 2017; Vygotsky, 1978; Jensen, 2008), and emphasizes the importance of strengthening teachers' competence in understanding and designing brain- and emotion-based learning to support the holistic development of elementary school students.
Abstract:Public service quality is one of the fundamental indicators in assessing the performance of government institutions, especially at the district level where direct interactions with citizens take place. This study aims to…
analyze the influence of employee motivation on the quality of administrative services at the Leihitu Sub-district Office, Central Maluku Regency. The research employs a quantitative approach with an explanatory design to identify causal relationships between variables. The population in this study consists of all employees involved in administrative services, and total sampling was used due to the manageable number of staff. Data were collected through a structured questionnaire using a Likert scale to measure motivation and service quality indicators. The data were analyzed using descriptive statistics and linear regression to determine the effect of motivation on service quality. The results show that employee motivation significantly and positively influences administrative service quality. Employees with higher intrinsic and extrinsic motivation tend to demonstrate better responsiveness, discipline, communication, and consistency in carrying out public service functions. The study concludes that strengthening motivation is essential to improve public service performance. Therefore, organizational leaders are encouraged to enhance work motivation through recognition, supportive leadership, fair reward systems, and professional development opportunities to ensure services meet community expectations.