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.

The crime of maltreatment is a deliberate act that causes injury, pain or even death to a person. However, efforts to resolve minor persecution crimes can be done through Restorative Justice. Restorative Justice can be done through mediation of victims of persecution. This research formulates the problem of knowing how the legal arrangements by the Prosecutor's Office on Restorative Justice and knowing how the efforts and obstacles to overcoming persecution crimes based on Restorative Justice by the North Padang Lawas State Attorney's Office. This research method is through empirical juridical research with field studies at the North Padang Lawas State Attorney's Office related to countermeasures against criminal acts of persecution based on Restorative Justice. The data collection technique used by the author in this research is Field Research, which includes data sourced from interviews with the Public Prosecutor at the North Padang Lawas State Attorney's Office. Data analysis used in this research is qualitative analysis. The process of applying Restorative Justice in the crime of persecution in the North Padang Lawas District Attorney's Office is carried out by means of the Public Prosecutor offering peace efforts to the victim and suspect. Based on cases that meet the criteria for Restorative Justice, the State Attorney's Office will write to the High Prosecutor's Office and the Deputy Attorney General's Office for General Crimes to seek approval for Restorative Justice. The North Padang Lawas District Attorney's Office prioritizes peace between victims and perpetrators in resolving cases of light maltreatment by involving the families of both parties, such as community leaders, without any pressure, coercion, or intimidation from the Public Prosecutor who acts as a facilitator.

This article discusses the Public Relations (PR) strategies implemented by the Department of Communication and Informatics (Diskominfo) of Binjai City to enhance the positive image of the Binjai City Government. This study adopts a qualitative approach, analyzing primary data from interviews with the head of the news and audiovisual division and the IKP (Public Communication and Information) team members of Diskominfo Binjai, along with secondary data from related documents. The analysis reveals that Diskominfo Binjai has employed various PR strategies, including information campaigns, social media activities, public events, and collaboration with local mass media. It was also found that the use of information and communication technology (ICT) is an integral part of their PR strategy. This study highlights the importance of PR in building and maintaining a positive image of local government in the current digital era, particularly concerning sensitive issues.

Education is a crucial element in developing an individual's potential and intelligence. To carry out education effectively, teachers are needed who can teach in both formal and non-formal contexts. Our Community Service Program (KKN) was conducted in Kangkung Village, Kangkung District, with the main objective of providing community service and supporting the improvement of children's education in the village. Although the enthusiasm and learning spirit of the children in Kangkung Village is very high, the shortage of teaching staff is a major obstacle in achieving maximum education. This article is entitled "Optimizing the Role of KKN Students as Teachers in Improving Education in Kangkung Village." This research uses the Participatory Action Research (PAR) method and conducts field observations to identify potential and problems in the village. The results of KKN activities provide an overview of the enthusiasm and enthusiasm of children and the community for the role of students as teaching staff in supporting education in Kangkung Village through various formal and non-formal education activities carried out by KKN Group 114.

The problem of recidivist narcotics is a significant complex issue in Indonesia, including in Batam Class IIA Prison. This phenomenon raises concerns because of its negative impact on society and social stability. This study aims to analyze the juridical factors that encourage recidivism of narcotics crimes and identify obstacles in the implementation of rehabilitation programs in Batam Class IIA Prison. The research methods used are normative juridical and empirical sociology. The normative juridical method is used to analyze various laws and regulations that are the legal basis for handling recidivism, such as Law Number 35 of 2009 concerning Narcotics. Meanwhile, empirical sociological methods are used to collect data through interviews and direct observations in the field to understand the implementation of rehabilitation programs and social factors that contribute to recidivism. The results of the study show that weaknesses in the criminal justice system, lack of post-release support, social stigma, and an unsupportive social environment are the main factors that encourage recidivists. A justice system that focuses more on punishment than rehabilitation leads to a lack of effective rehabilitation programs. Minimal post-liberation support, such as difficulty finding work and housing, also contributes to high rates of recidivism. Social stigma and discrimination exacerbate the condition of ex-convicts, hindering them from reintegrating into society. An unstable social environment, especially one with easy access to narcotics, is also a driving factor for recidivism. Based on these findings, this study provides several suggestions, including increasing the number and quality of professionals in the field of rehabilitation, adjusting skills training programs to be relevant to the needs of the job market, and closer cooperation between law enforcement agencies, the government, and the community in supporting the reintegration of former prisoners. It is hoped that these suggestions can help reduce recidivism rates and increase the effectiveness of the penitentiary system in Indonesia.