Abstract:Good financial management has a very important role in the long-term success of a company. However, currently, there are still many companies that experience problems in terms of managing their company's finances, one of…
which is PT. Anak Rantau Riau. This company is a service and goods company engaged in sports, namely fitness and workout sports. PT. Anak Rantau Riau experienced problems in the form of differences between the money received in the company account and the revenue recorded in the point on-sales system and several times made payments twice for the same invoice. Seeing this, of course, there needs to be steps to follow up so that nothing like that happens in the future. To follow up on this, discussions with company employees were held to determine what platforms and techniques were suitable and easy to implement to overcome the company's problems. Then, followed by providing direction to employees regarding the utilization of Microsoft Excel and spreadsheets as well as knowledge about the importance of even the smallest difference in money in finance. Finally, there will be an assessment of the results of the training. The result of the follow-up is that the problem of discrepancies between the money in the account and the revenue recorded in the point on-sales system can be minimized and there is no need to pay invoices twice for one invoice.
Keywords: Internal Financial Management, Debt Management, Point on Sales System
Abstract:The village of Margamulya Tj. Kait is one of the foster villages of LPPM Ukrida. From the results of interviews and direct observations, there are several main issues faced by partners, including: limited access and dissemination…
emination of financial information and village profiles to external parties as well as to the villagers themselves. Community service is conducted by utilizing technology to develop a digital village community ecosystem where social media-based platforms serve as everyday communication, socialization, and collaboration tools. The implementation method is carried out through: (1) development of social media platforms; (2) training on platform usage. With the developed social media platform program, the target output is achieved through the evaluation of activities, where the benefit of interaction between village officials and villagers, as well as the dissemination and access to important information, becomes easier.
Keywords: digital platform; village digitalization; digital village; margamulya village
Abstract:MSMEs in Indonesia are a potential basis for a strong national economy because of their large number, especially micro businesses, and their labor absorption capacity is very large. Sendangtirto Village, which is part of…
the Berbah District Area, Sleman Regency, DIY, also has quite large MSME potential. By knowing and mapping the potential of MSMEs in Sendangtirto and assisting by providing training outreach and mentoring on the digitalization of Sendangtirto MSMEs, it is hoped that it will advance and be able to develop MSMEs, increasing competitiveness with the integration of digital platforms. This service function aims to apply and disseminate the knowledge and skills possessed by academics to the wider community, as well as contributing directly to improving the quality of life and sustainable development. The results of data analysis from the questionnaire showed a significant increase in participants' understanding after the socialization. The participants' positive response to the benefits and ease of use of digital platform robots for ease in digitalizing MSMEs illustrates the success of this socialization.
Keywords: digitalization; socialization;potential of MSMEs
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:Digital technology has been used very often in this era, especially for all ages. One is utilizing digital technology to develop business businesses for products owned by creative actors. However, there is still a lack of…
f knowledge in the form of insight and education that is owned by the actors, causing people to understand still not the use of technological platforms/tools, which hinders the business from being carried out less optimally. One of the uses of technology in marketing business ventures is digital marketing, which is a promotional activity for a product using digital media or the internet. The partners in this service are BUMDes Panyanggar Cipta Karya Village. This devotional method is carried out by utilizing several applications such as; canvas, Instagram, and Facebook promotion by introducing and educating about digital marketing, marketing, and products, as well as introducing the canvas application which functions as a material for creating content and social media (Instagram and Facebook) as a tool for promoting products through technology networks. The e-commerce platform is a marketplace for selling business through the internet. Implementation stages are carried out such as literature studies, socialization, data collection, and implementation in the form of training). Through this activity, the local community gains insight and education as creative business actors in increasing the promotion of digitalization-based products.
Keywords: bumdes; digital marketing; training; digitization
Abstrak: Teknologi digital sudah sangat sering dimanfaatkan di era sekarang terkhusus semua usia. Salah satunya dengan memanfaatkan Teknologi digital untuk mengembangkan usaha bisnis terhadap produk yang dimiliki oleh pelaku kreatif. Namun masih kurangnya pengetahuan berupa wawasan dan edukasi yang dimiliki oleh para pelaku, menyebabkan dalam memanfaatkan platform/tools teknologi masih jauh belum paham sehingga menghambat kurang optimalnya usaha yang sedang dijalankan. Salah satu memanfaatkan teknologi dalam pemasaran usaha bisnis adalah digital marketing yang merupakan kegiatan promosi sebuah produk menggunakan media digital atau internet. Adapun mitra dalam pengabdian ini yaitu BUMDes Panyanggar Desa Cipta Karya. Metode Pengabdian ini dilakukan adalah dengan memanfaatkan beberapa aplikasi seperti; canva, instagram dan facebook dengan memperkenalkan dan mengedukasi tentang marketing digital, pemasaran dan promosi produk, dan juga memperkenalkan aplikasi canva yang fungsinya sebagai bahan pembuatan konten dan sosmed (instagram dan facebook) sebagai tools untuk mempromosi produk melalui jaringan teknologi. Platform e-commerce sebagai marketplace tempat penjualan usaha bisnis melalui jaringan internet. Tahapan pelaksanaan dilakukan seperti studi literatur, sosialisasi, pengumpulan data dan pelaksanaan berupa pelatihan). Melalui kegiatan ini masyarakat setempat mendapatkan wawasan dan edukasi sebagai pelaku usaha bisnis kreatif dalam meningkatkan promosi produk berbasis digitalisasi.
Kata kunci: bumdes; digitalisasi; digital marketing; pelatihan
Abstract:Abstract: The existence of the Covid-19 pandemic makes the learning process in early childhood ineffective, including in the delivery of national insight material. The use of online platforms apparently cannot be done in…
n the learning process in Purwantoro District, Wonogiri Regency because many parents do not understand about the operation of online learning, parents who work full time, and geographical conditions that do not support it so that signaling is difficult. This community service activity is carried out in collaboration by the University of Muhammadiyah Ponorogo and the Institute of Kebangsaanic Studies Muhammadiyah Pacitan in collaboration with HIMPAUD, Purwantoro District, Wonogiri Regency. This activity aims to assist teachers in increasing students' understanding of national insight through the insertion method in learning materials. Activities are carried out online with the implementation stages being pre-activity, activity implementation, activity evaluation, and follow-up activities. From the results that have been carried out, it can be concluded that 94% of participants have understood the use of the insertion method in the implementation of learning so that students can understand the national insight in every material presented by the teacher
Keywords: insertion; PAUD; national insights
Abstrak: Adanya pandemi Covid-19 menjadikan proses pembelajaran pada anak usia dini tidak efektif, termasuk dalam penyampaian materi wawasan kebangsaan. Penggunaan platform online ternyata tidak bisa dilakukan pada proses pembelajaran di kecamatan Purwantoro kabupaten Wonogiri karena banyak orang tua yang belum paham tentang pengoperasionalan pembelajaran online, orang tua yang bekerja secara fulltime, serta kondisi geografis yang tidak mendukung sehingga sulitnya sinyal. Kegiatan pengabdian kepada masyarakat ini dilaksanakan secara kolaborasi oleh Universitas Muhammadiyah Ponorogo dan Institut Kebangsaan Studies Muhammadiyah Pacitan bekerjasama dengan HIMPAUD kecamatan Purwantoro kabupaten Wonogiri. Kegiatan ini bertujuan untuk membantu guru dalam meningkatkan pemahaman siswa tentang wawasan kebangsaan melalui metode insersi dalam materi pembelajaran. Kegiatan dilaksanakan melalui dalam jaringan (online) dengan tahap pelaksanaan adalah pra kegiatan, pelaksanaan kegiatan, evaluasi kegiatan, dan tindak lanjut kegiatan. Dari hasil yang telah dilaksanakan diperoleh hasil bahwa 94% peserta telah paham tentang penggunaan metode insersi dalam pelaksanaan pembelajaran sehingga siswa dapat memahami tentang wawasan kebangsaan dalam setiap materi yang disampaikan oleh guru.
Kata kunci: insersi; PAUD; wawasan kebangsaan
Abstract:Abstract: Pandemic Covid-19 has had a direct impact on the world of education. The limitation of the crowd in community activities in public places causes the world of education to maximize the use of information and communication…
munication technology as a medium for distance learning or online. This encourages educators/ teachers to formulate alternatives for distance learning media by adapting them according to the conditions of available facilities and infrastructure, and mastering the use of a number of digital platforms that can be used as alternative learning media. This digital-based learning innovation training activity aims to introduce and assist the use of several digital learning media in one of the schools, namely SMK Lingua Prima Indralaya. Assessment of the success of the training held was carried out through a pretest and post-test. Assistance is carried out so that teachers understand and gain insight in formulating innovative learning methods in the implementation of the distance or online teaching and learning process. In this training, introduction and assistance were carried out related to the use of audio podcasts, maximizing the function of social media and also designing materials with attractive and innovative PowerPoint templates.
Keywords: digital based learning; effective learning; pandemic period
Abstrak: Pandemi Covid-19 telah berdampak secara langsung terhadap dunia pendidikan. Dibatasinya kerumunan dalam aktivitas masyarakat ditempat umum menyebabkan dunia pendidikan harus memaksimalkan penggunaan teknologi informasi dan komunikasi sebagai media pembelajaran jarak jauh atau daring. Hal ini mendorong tenaga pendidik / guru harus merumuskan alternatif-alternatif media pembelajaran jarak jauh dengan cara mengadaptasinya sesuai dengan kondisi sarana dan prasarana yang tersedia, serta menguasai penggunaan sejumlah platform digital yang dapat digunakan sebagai media pembelajaran alternatif. Kegiatan pelatihan inovasi belajar berbasis digital ini bertujuan untuk melakukan pengenalan dan pendampingan penggunaan beberapa media pembelajaran digital di salah satu sekolah, yakni SMK Lingua Prima Indralaya. Penilaian terhadap keberhasilan pelatihan yang diselenggarakan ini dilakukan melalui pretest dan post-test. Pendampingan dilakukan agar para guru memahami dan menambah wawasan dalam merumuskan metode pembelajaran yang inovatif dalam pelaksanaan proses belajar mengajar jarak jauh atau daring. Pada pelatihan ini dilakukan pengenalan dan pendampingan terkait penggunaan podcast audio, memaksimalkan fungsi media sosial dan juga merancang materi dengan template powerpoint yang menarik dan inovatif.
Kata Kunci: masa pandemi; pembelajaran berbasis digital; pembelajaran efektif
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 growing intensity of cyber attacks, marked by rapid, large-scale, automated, and adaptive execution, requires analytical methods that represent the diversity of network environments, including variations in…
target platforms such as IoT, traditional networks, and hybrid infrastructures. This study compares machine learning models for cyber attack classification under heterogeneous environmental conditions and formulates a conceptual optimization framework based on model performance. Four publicly available benchmark datasets were used, namely UNB CIC IoT 2023, UNB CIC IDS-2018, UNSW-NB15, and a Kaggle cyber security attacks dataset, comprising approximately 40,000 to over 3.6 million records and 25 to 80 features across IoT, conventional, and mixed network environments. Random Forest, XGBoost, Multilayer Perceptron, and Transformer were implemented within a unified pipeline involving preprocessing, feature selection, and Bayesian Optimization-based hyperparameter tuning. All models achieved F1-score and Cohen's Kappa above 96%, with XGBoost performing best (97.80%, 97.26%), followed by Random Forest (97.78%, 96.96%) and Transformer (97.44%, 96.82%), while MLP scored lowest (96.74%, 96.00%), a gap below one percentage point. Confusion matrix analysis revealed persistent misclassification in minority and overlapping attack classes, informing a proposed adaptive cyber attack simulation optimization framework.
Keywords: cyber attacks; optimization; machine learning; environmental variability.
Abstrak: Meningkatnya intensitas serangan siber yang berlangsung cepat, masif, otomatis, dan adaptif menuntut pendekatan analitis yang merepresentasikan keragaman lingkungan jaringan, termasuk perbedaan karakteristik platform sasaran seperti Internet of Things (IoT), jaringan konvensional, dan infrastruktur hibrida. Penelitian ini membandingkan model machine learning untuk klasifikasi serangan siber pada kondisi lingkungan heterogen, sekaligus menyusun kerangka optimasi konseptual berdasarkan performa model. Empat dataset benchmark publik digunakan, yaitu UNB CIC IoT 2023, UNB CIC IDS-2018, UNSW-NB15, serta dataset Kaggle cyber security attacks, dengan jumlah data berkisar 40.000 hingga lebih dari 3,6 juta rekaman dan 25 sampai 80 fitur, mewakili lingkungan IoT, konvensional, dan campuran. Random Forest, XGBoost, Multilayer Perceptron, dan Transformer diimplementasikan melalui pipeline terpadu mencakup pra-pemrosesan, seleksi fitur, dan optimasi hyperparameter berbasis Bayesian Optimization. Seluruh model mencapai F1-score dan Cohen's Kappa di atas 96%, dengan XGBoost menunjukkan performa terbaik (97,80%, 97,26%), diikuti Random Forest (97,78%, 96,96%) dan Transformer (97,44%, 96,82%), sementara MLP mencatat skor terendah (96,74%, 96,00%), dengan selisih kurang dari satu poin persentase. Analisis confusion matrix mengungkap misklasifikasi yang konsisten pada kelas minoritas dan serangan dengan karakteristik serupa, yang menjadi dasar kerangka optimasi simulasi serangan siber adaptif yang diusulkan.
Kata kunci: serangan siber; optimasi; machine learning; variabilitas lingkungan
Abstract:Abstract: The rapid growth of the cosmetics industry on e-commerce platforms has intensified competition, creating a critical need for effective, data-driven marketing strategies. This study aims to conduct a comparative…
analysis of machine learning algorithms to predict the sales categories (High, Medium, Low) of cosmetic products on the Tokopedia marketplace. Four classification models; Random Forest, XGBoost, Logistic Regression, and Naive Bayes were trained and evaluated on data collected via web scraping. The methodology incorporates the Synthetic Minority Over-sampling Technique (SMOTE) to address significant class imbalance and GridSearchCV for hyperparameter optimization to ensure a fair and robust comparison. The experimental results conclusively show that the Random Forest model achieved the best performance, yielding the highest F1-Score Macro Average of 0.75 and an accuracy of 85.3%. The superior model was subsequently implemented in a simple recommendation system to simulate optimal discount strategies, demonstrating its practical utility in providing actionable insights for business decisions.
Keywords: classification; comparative analysis; machine learning; sales prediction; SMOTE
Abstrak: Pertumbuhan pesat industri kosmetik pada platform e-commerce telah membuat persaingan ketat, sehingga menciptakan kebutuhan krusial akan strategi pemasaran yang efektif dan berbasis data. Penelitian ini bertujuan untuk melakukan analisis komparatif terhadap algoritma machine learning untuk memprediksi kategori penjualan (Tinggi, Sedang, Rendah) produk kosmetik di marketplace Tokopedia. Empat model klasifikasi, yaitu Random Forest, XGBoost, Regresi Logistik, dan Naive Bayes, dilatih dan dievaluasi menggunakan data yang dikumpulkan melalui web scraping. Metodologi penelitian ini menerapkan Synthetic Minority Over-sampling Technique (SMOTE) untuk mengatasi ketidakseimbangan kelas yang signifikan dan GridSearchCV untuk optimisasi hyperparameter guna memastikan perbandingan yang adil. Hasil eksperimen menunjukkan bahwa model Random Forest mencapai performa terbaik, dengan menghasilkan F1-Score Macro Average tertinggi sebesar 0,75 dan akurasi 85,3%. Model unggul ini kemudian diimplementasikan dalam sebuah sistem rekomendasi sederhana untuk menyimulasikan strategi diskon yang optimal, yang menunjukkan kegunaan praktisnya dalam memberikan wawasan yang dapat ditindaklanjuti untuk pengambilan keputusan bisnis.
Kata kunci: analisis komparatif; klasifikasi; machine learning; prediksi penjualan; SMOTE