This research aims to analyze population and economic welfare in Nagori Bosar by focusing on the differences between residents who work outside the village (migrant workers) and those who continue to work within the village. This study uses simple research by collecting data through short interviews conducted directly with the village head of NAGORI BOSAR. The research results show that 40% of Nagori Bosar residents work outside the village, while the other 60% work inside the village. Migrant workers tend to have higher income levels compared to local residents who work in villages. However, economic prosperity is not only determined by income but also by access to health, education and infrastructure facilities. This research also found that poverty and unemployment rates in Nagori Bosar are still high, especially among residents who do not have permanent jobs. The source of income for the people in this village is dominated by the agricultural, small trade and service sectors. Overall, this research reveals that although labor migration makes a significant contribution to increasing family income, there is an urgent need to improve the well-being of local residents through improving infrastructure and increasing access to basic services. The implications of this research indicate the need for more targeted policy interventions to reduce poverty and unemployment in Nagori Bosar.

This research analyzes the impact of the multinational company Samsung Electronics Co., Ltd.  Against national income in Indonesia.  Using secondary research methods, data from various sources, including the Central Statistics Agency, Samsung’s financial reports, market studies,and previous academic research, was analyzed to understand Samsung’s contribution to the Indonesian economy.  The analysis results show that Samsung’s presence has made a significant contribution to Indonesia’s economic growth through foreign direct investment, jobcreation, increased exports and tax contributions.  Apart from that, positive impacts are also felt through the development of supporting industries, increasing human resource capacity, and support for the MSME sector.  However, it is also necessary to pay attention to negative impacts such as unhealthy competition and the potential for market domination.  Therefore, appropriate regulatory and supervisory measures are  needed to maximize the positive impact and minimize the negative impact of Samsung’s presence.  Overall, Samsung’s role in driving the  Indonesian economy to wards more advanced and sustainable grow this very significant.  Collaboration between companies, government and society needs to be improved to ensure the benefits are felt fairly and sustainably.

Pada tahun 2021 Kabupaten Kendal memiliki total produksi kopi sebesar 1.806,3 ton, terbesar ke 4 di Jawa Tengah, dimana penghasilnya adalah Kecamatan Limbangan dan Kecamatan Boja di lereng Gunung Ungaran. Hasil interview awal dengan Kelompok Tani Kopi Berkah Wana Desa menggambarkan bahwa hasil panen dijual dalam bentuk 4 jenis dengan harga yang belum optimal karena masih rendahnya daya saing produk kopi yang dihasilkan karena tidak memiliki kekhasan cita rasa. Kegiatan pengabdian ini dilakukan sebagai rintisan untuk memberikan solusi dari permasalahan tersebut dengan pengembangan potensi indikasi geografis Kopi Gunung Ungaran. Terdapat beberapa kegiatan yang dilakukan dalam pengembangan potensi indikasi geografis kopi, diantaranya penyuluhan terkait potensi indikasi geografis dan mutu kopi, uji cita rasa kopi dan penyusunan basis data kopi. Hasil uji cita rasa kopi menunjukan bahwa kopi Robusta dan Arabika memiliki skor cita rasa sebesar 80.50 yang masuk dalam kategori excellent dengan ciri khas seperti gula merah, beraroma mirip santan. Berdasarkan hasil pemetaan partisipatif yang dikombinasikan dengan survey lapangan dapat teridentifikasi 75 lahan kopi yang dilengkapi dengan data atribut, dimana sebanyak 74 lahan membudidayakan jenis Robusta dan 1 lahan jenis Arabika. Berdasarkan hasil yang telah dicapai berupa database dan cita rasa kopi dapat digunakan sebagai dokumen pendukung usulan indikasi geografis. 

Discord, which was originally created for the gamer community, can now be found used by hobby groups and communities that are used for shared learning purposes. But the downside is the gamer culture that comes with it. Rude and toxic words that are synonymous with the gamer community should be avoided in study group communities. Meanwhile, the facilities for minimizing harsh and toxic words are still limited to word filters that can be tricked so that they can still be sent to the chat room. This can trigger conflict and interfere with learning activities together. This paper proposed an information assistance chatbot that is able to answer question, and conflict prevention with detection toxic sentences using pre-processing from NLP (Natural Language Processing) and text classification so that the chatbot is able to limit toxic sentences a little more accurately than the word filter feature alone. Also, Chatbots are given the ability to determine the value / level of toxic conversations so that they are had been able to determine the punishment action to be carried out by warning, suspending, or even being issued for the most severe cases. In addition, by looking at the frequency of sending messages from several senders, which indicates toxic, it was able to determine when the conflict occurs. The result shows that chatbot can work fine to answer question and detecting toxic include do punishment to toxic sender. With 10% error on detecting conflict and 30% error on answer question. That 30% error false positive on make an answer that should not be answered.

Bencana banjir menerjang Kota Bima, Nusa Tenggara Barat. Badan Penanggulangan Bencana Daerah (BPBD) Kota Bima telah melakukan upaya penanganan darurat merespons bencana tersebut. Seperti dikutip dari siaran pers BNPB, BPBD Kota Bima telah mengevakuasi warga yang terdampak banjir di 4 kecamatan, yaitu Kecamatan Asakota, Rasanae Barat, Raba dan Mpunda. BPBD dibantu personel TNI dan Polri dalam mengevakuasi warga. Langan bencana, metode penelitian yaitu observasi, wawancara, dan dokumentasi. Adapun strategi komunikasi yang dilakukan oleh pemerintah kelurahan dalam menanggulangi bencana, baik itu yang bersifat mengantisipasi bencana maupun setelah terjadinya bencana atau pasca bencana terjadi sangat beragam dan menggunakan metode yang berbeda-beda. Pemerintah Kelurahan dalam hal ini, telah melakukan berbagai upaya strategis dalam menangulangi bencana banjir tersebut terutama dalam hal melakukan koordinasi dengan berbagai pihak terkait, agar pihak-pihak terkait dapat membantu dan menentukan langkah strategis guna mempercepat pemulihan masyarakat yang terkena dampak banjir baik pemulihan secara fisik maupun non fisik. Terkait langkah strategi komunikasi yang dibangun oleh Pemerintah Kelurahan dalam melakukan komunikasi baik secara vertikal maupun horizontal kepada semua unsur yang ada pada Pemerintahan Daerah maupun Pemerintah Propinsi, dalam hal ini seluruh komponen masyarakat juga dilibatkan dalam upaya pemulihan dan pencaian perbaikan aspek sarana dan parasana pasca banjir..
 
 

Stock investments that provide high returns, but the higher the benefits offered, the higher the risk that will be faced in investing, especially if it is not supported by knowledge of analyzing stocks. This study utilizes the Data Mining prediction technique with the Linear Regression algorithm on the shares of PT. Aneka Tambang Tbk or ANTM. The dataset that will be used is downloaded through the Yahoo Finance website in the period January 2016 - March 2021. In this study the analytical method used is SEMMA (Sample, Explore, Modify, Model, Assess). With RapidMiner Studio 9.9 tools. The result of testing the RMSE (Root Mean Squared Error) value is 17.135, MSE (Mean Squared Error) is 293.599 and the MAPE (Mean Absolute Percentage Error) value is 1.87%. Based on the MAPE, the accuracy of the Linear Regression algorithm in predicting the stock price of PT. Aneka Tambang Tbk provides high-accuracy predictions.