Community Service Program (KKN) are one of the mandatory programs that must be carried out by students. This TOGA knowledge increasing activity is a form of the Community Service Program (KKN) work program which aims to increase the knowledge and skills of SMAN 2 Dumai students in cultivating family medicinal plants (TOGA). TOGA can be used to treat various diseases such as fever, fever, cough, stomach ache and itching. Usually the medicinal plants chosen are plants for first aid for minor illnesses such as fever and cough. Through training activities and TOGA planting practices on empty school land, students, especially PMR members, are actively involved in the cultivation process. The results of the activity showed an increase in students' awareness of the benefits of TOGA and their ability to identify and care for various types of medicinal plants. Apart from that, the presence of TOGA in the school environment also contributes to creating a healthier and more beautiful learning environment.

The purpose of this study is to determine the influence of factors that affect the level of public welfare in Balikpapan City in the period 2006-2023. The method used in the study is the quantitative data analysis method and the data analysis method using a path diagram with 4 dimensions of measurement, namely, the Level of Public Welfare measured by the Human Development Index (HDI), the Income Inequality Index measured by the Gini Ratio Index, Economic Growth, Population Growth Rate. The results of this study indicate that Economic Growth has a negative but insignificant effect on Income Disparity (Gini Ratio Index), Population Growth has a negative and significant effect on Income Disparity (Gini Ratio Index), Economic Growth directly has a positive but insignificant effect on the level of population welfare (Human Development Index), Population Growth directly has a negative but insignificant effect on the level of population welfare (Human Development Index), Income Disparity Level (Gini Ratio) has a positive and significant effect on the Level of Community Welfare (HDI) of Balikpapan City, Economic Growth through the Formation of Population Welfare (Gini Ratio Index) has a negative effect on the Level of Community Welfare (HDI) of Balikpapan City and Population Growth through the Formation of Population Welfare (Gini Ratio Index) has a negative effect on the Level of Community Welfare (HDI) of Balikpapan City.

Tobacco cultivation in Tejorejo Village is one of the community's main efforts to improve the village economy. This research uses a qualitative descriptive approach to analyze the challenges faced in tobacco cultivation and their impact on the economy of local communities. The challenges found include technical limitations due to climate change which affects the quality and quantity of harvests. Apart from that, fluctuations in tobacco prices on the market which are influenced by external factors such as government policy and global economic conditions also increase the instability of farmers' income. However, tobacco cultivation has a positive impact in encouraging village infrastructure development and attracting investment. Although progress in the tobacco farming sector can encourage rural infrastructure development and attract investment, over-reliance on tobacco as the sole source of income carries major risks, including economic uncertainty and the potential for crop failure which can impact the village economy as a whole.

The main objective of this kkn activity is to increase the visibility, competitiveness, and revenue of MSMEs through product promotion on social media platforms. The main problem faced by MSMEs is limited knowledge in developing innovative products, which hinders the ability to compete with foreign products. Therefore, the urgency of this project lies in the importance of supporting MSMEs in utilizing digital media to improve their competitiveness. The results of this video creation show significant positive impacts, including increased product visibility, increased sales, and improvements in the packaging process. Not only did the video capture the attention of consumers, but it also helped build closer relationships between producers and consumers through social media. These results confirm the importance of visual content in digital marketing strategies for MSMEs, as well as the need to innovate and develop the brand on an ongoing basis.

Mengelola dana bantuan desa secara efektif dan efisien merupakan salah satu tantangan terbesar dalam meningkatkan kesejahteraan masyarakat desa. Desa Kembangarum menghadapi kendala dalam pengalokasian dana bantuan yang seringkali tidak tepat sasaran dan kurang transparan. Penelitian ini bertujuan untuk merancang sistem pengelolaan dana bantuan desa dengan menggunakan metodologi Analytic Hierarchy Process (AHP). Metode AHP dipilih karena memungkinkan pengambilan keputusan yang kompleks berdasarkan berbagai kriteria. Sistem ini digunakan untuk mengidentifikasi, menganalisis, dan memprioritaskan kebutuhan pendanaan bantuan berdasarkan berbagai kriteria yang relevan seperti urgensi, dampak, dan ketersediaan sumber daya. Hasil studi menunjukkan bahwa penggunaan metodologi AHP dalam sistem pengelolaan  bantuan desa  meningkatkan akurasi dan transparansi alokasi dana serta memastikan  dana bantuan dialokasikan sesuai dengan prioritas kebutuhan masyarakat. Penerapan sistem ini diharapkan dapat menjadi model yang efektif dalam pengelolaan  bantuan di desa-desa lainnya.

Penelitian ini mengembangkan alat pengukur konsentrasi gas karbon monoksida (CO) berbasis Internet of Things (IoT) dengan sensor MQ-7 dan mikrokontroler NodeMCU ESP8266. Alat ini menyimpan data secara real-time pada database Firebase, dapat diakses melalui aplikasi mobile. Rekayasa metodologi meliputi desain konsep, detail desain, prototipe, dan instrumen pengujian. Hasil alat menunjukkan memberikan informasi konsentrasi CO secara real-time dan dapat mengidentifikasi kombinasi sistem pembakaran dan bahan bakar dengan konsentrasi terendah dan tertinggi. Klasifikasi menggunakan model Decision Tree Classifier dengan akurasi 60%. Penelitian ini kontributif dalam pengembangan pemantauan emisi gas kendaraan bermotor melalui pendekatan IoT yang efektif.

The purpose of the final work is to visualize the characteristics of antisocial traits in order to increase knowledge about antisocial traits and avoid them. The method of creation carried out in the final work has stages from the beginning of the process to the end, namely the preparation, elaboration, synthesis, concept realization, and completion or finishing stages in the work. In the process of making the final work measuring 50 cm x 40 cm using the Filter Printing technique, there are 10 pieces with the titles namely: Sharp Gaze, Charismatic, Impulsive, Foothold, Liar, No Regrets, Wolf in Sheep's Clothing, Manipulator v.1, Manipulator v.2, Manipulator v3.

Customer churn adalah kecenderungan pelanggan berhenti dan berpindah layanan dalam periode tertentu. Ini merupakan masalah utama dalam industri telekomunikasi karena mempengaruhi keuntungan perusahaan. Mempertahankan pelanggan lebih mudah dibandingkan mendapatkan pelanggan baru. Memprediksi churn membantu sektor CRM dalam merancang strategi retensi. Tingkat churn yang tinggi dapat menurunkan pendapatan dan mengganggu stabilitas bisnis. Berdasarkan studi, tingkat churn tahunan di industri telekomunikasi berkisar antara 15% hingga 30%. Data mining, yang memanfaatkan teknik pembelajaran mesin, digunakan untuk menganalisis dan mengekstraksi pengetahuan dari data. Penelitian ini bertujuan untuk membandingkan performa dua algoritma yaitu Random Forest dan Gradient Boosting. Hasil yang didapatkan menggunakan splitting data 80:20 menunjukkan bahwa klasifikasi lebih unggul menggunakan metode Gradient Boosting dibandingkan metode Random Forest dilihat dari tingkat akurasi dan nilai ROC AUC. Metode Gradient Boosting mendapatkan nilai akurasi dan ROC AUC sebesar 83% dan 0.89, Sedangkan metode Random Forest mampu menghasilkan nilai akurasi dan ROC AUC sebesar 81% dan 0.87.
 
Kata kunci: Churn, Gradient Boosting, Klasifikasi, Random Forest, Telco
 
 

Dalam dunia komputasi awan yang semakin berkembang, ancaman serangan Distributed Denial of Service (DDoS) menjadi isu yang sangat krusial. Penelitian ini bertujuan untuk mengembangkan dan mengimplementasikan model prediksi serangan DDoS menggunakan algoritma Random Forest dan analisis perilaku jaringan. Dataset CICIDS2017 digunakan sebagai sumber data utama untuk melatih dan menguji model prediksi yang dikembangkan. Pemilihan algoritma Random Forest didasarkan pada kemampuannya yang tinggi dalam menangani data besar dan kompleks serta kemampuannya dalam mengenali pola anomali yang sering menjadi indikasi serangan siber. Hasil pengujian menunjukkan bahwa model ini mencapai akurasi yang signifikan dengan precision sebesar 97,8%, recall sebesar 98,2%, dan F1-score sebesar 98,0%. Analisis perilaku jaringan yang diterapkan, melibatkan fitur-fitur dinamis seperti waktu antar paket (Inter-Arrival Time/IAT), ukuran rata-rata segmen, dan jumlah paket per detik, yang terbukti efektif dalam meningkatkan kemampuan deteksi model. Implementasi model dalam lingkungan komputasi awan menunjukkan bahwa metode ini dapat diintegrasikan dengan sistem deteksi intrusi (Intrusion Detection Systems/IDS) yang sudah ada untuk memberikan lapisan perlindungan tambahan terhadap serangan DDoS. Berdasarkan hasil yang diperoleh, penelitian ini merekomendasikan penggunaan kombinasi algoritma Random Forest dan analisis perilaku jaringan sebagai solusi yang efektif untuk mendeteksi serangan DDoS dalam lingkungan komputasi awan. Penelitian lanjutan disarankan untuk mengembangkan dan menguji model dengan dataset yang lebih beragam serta mengoptimalkan algoritma untuk meningkatkan performa deteksi.
 
Kata kunci: Random Forest, DDoS, Cloud Computing

This study aims to determine the Effect of Economic Growth and Inflation and Unemployment Rate on the Human Development Index and Poverty in East Kalimantan Province. Inferential data analysis techniques using Partial Least Squares (PLS). The results of the study indicate that the Human Development Index (HDI) has a significant effect on the unemployment rate in East Kalimantan Province, with a probability value smaller than the specified significance level. There are disparities that need to be considered in development in rural areas to ensure equal opportunities for all residents to achieve a better quality of life. Rural areas still face challenges in access to education and health services, as well as regional disparities in development, which need to be addressed through appropriate and sustainable policies. Assistance programs such as Direct Cash Assistance (BLT), National Health Insurance (JKN), and the Family Hope Program (PKH) have helped reduce the burden on the poor by providing access to basic needs. Efforts to improve the quality of education, health, and infrastructure in rural areas are the main focus to create a more prosperous and independent society. Although there has been progress in poverty alleviation, there are still challenges such as regional inequality, quality of education and health, and economic diversification that need to be addressed. Collaboration between the government, private sector, and civil society is needed to create sustainable and effective solutions to overcome poverty in East Kalimantan. Economic growth, inflation, and unemployment rates are interrelated and significantly affect the Human Development Index and poverty rates in East Kalimantan Province. Therefore, comprehensive and sustainable policies are needed to achieve inclusive and equitable development in this region.