This study aims to: 1) Identify the price data pattern of Curly Red Chili and red chilies in Kolaka Regency; 2) Obtain the best time series forecasting method for forecasting the price of Curly Red Chili and ordinary red chilies in Kolaka Regency; 3) Get a forecast for the price of Curly Red Chili and regular red chilies for the coming year. This type of research is descriptive quantitative, the source of the data in this study is secondary data obtained from the office of industry and trade, Kolaka district. The data analysis method used is the time series forecasting method.The results showed that: 1) The results of the identification of data patterns on the plot of price data for Curly Red Chili and common red chilies in Kolaka Regency in 2015-2019 obtained a seasonal pattern. 2) The results of the application of the time series forecasting method for the price of curly red chilies, obtained the best time series forecasting method, namely the box-jenkins method of the SARIMA (1,0,0) (2,0,0) 12 model with the smallest MSE value, namely MSE = 41,534 590 While for the price of ordinary red chilies, the best time series forecasting method is the box-jenkins method of the SARIMA (1,0,0) (1,0,0) 12 model with the smallest MSE value, namely MSE = 44,764,512. 3) The results of forecasting the price of Curly Red Chili using the box-jenkins method SARIMA (1,0,0) (2,0,0) 12 with the help of the MINITAB 19 program is the highest price of IDR 47,355.4 / Kg which occurred in August 2020 and the lowest price is IDR 23,169 / Kg which occurred in January 2020, while the average price of Curly Red Chili in 2020 is IDR 32,487.3 / Kg. While the results of forecasting the price of ordinary red chilies using the box-jenkins method with the SARIMA (1,0,0) (1,0,0) 12 model with the help of the MINITAB 19 program is the highest price of Rp. 32,967.8 / Kg which occurred in August. 2020 and the lowest price is IDR 16,756.4 / Kg which occurred in December 2020, while the average price of ordinary red chili in 2020 is IDR 23,346.27 / Kg.

Dibalik pesona keindahannya, pantai kalomang dan pantai kembar masih menghadapimasalah terkait sampah yang berserakan di laut dan sampah dari masyarakat.Adapun metode yang digunakan dalam kegiatan ini yaitu metode observasi.Adapun yang dimaksud dengan metode observasi adalah cara mengumpulkan informasi dan data yang relevan dengan mengamati. Metode pelaksanaan dilakukan dengan terjun langsung di sekitaran pantai untuk melakukan pembersihan.Kegiatan bakti sosial pada minggu, 05 juni 2022 bertempat di pantai kalomang dan pantai kembar. Beberapa tim pengabdi dan petugas kebersihan pantai yang melibatkan untuk melakukan kegiatan ini.Sebelum memulai pengabdian, dilakukan survey lokasi dan kebutuhan pengabdian. Sebagian besar sampah yang ditemukan berupa jenis sampah plastik. Setiap jenis plastik ini memiliki sifat tertentu, seperti densitas. Ini membuat sampah plastik bisa berserakan di laut, misalnya permukaan dan tentu saja ke laut dalam.Pelaksanaan pelayanan tim terlbat dalam pekerjaan suka rela dimasyarakat. Program ini juga diharapkan meningkatkan pengetahuan masyarakat ataupun pengunjung tentang kebersihan lingkungan pesisir laut sehingga memungkinkan mereka untuk memperhatikan dan merawat lingkungan pesisir dan laut mereka.Saran selanjutnya agar sosialisai terkait kebersihan laut perlu dilakukan lebih luas lagi sehingga masyarakat semakin sadar untuk ikut serta terlibat dalam menjagapesisir dan laut kita bersama.

The productivity of rice farming is largely determined by the use of production factors such as land, seeds, fertilizers, pesticides and labor. High productivity will only be achieved when the allocation of production factors is done effectively and efficiently. This study aims to determine the effect of production factors on the production quantity of rice farming in the Polenga village, Watubangga district, Kolaka regency. The sample determination in this study was performed using the Slovin method, while the data analysis method used in this study was multiple linear regression analysis. The results showed that the production factor of land area had a significant effect on the quantity of rice farming production. Meanwhile, the production factors of the quantity of seeds, the amount of urea fertilizer, the amount of NPK fertilizer, the amount of pesticides and the quantity of workers did not have a significant effect on rice farming production in Polenga village.

Ketimpangan ekonomi regional di Provinsi Sulawesi Selatan masih cukup tinggi dan belum menunjukkan penurunan secara konsisten setiap tahunnya. Penelitian ini bertujuan untuk menganalisis pengaruh transfer fiskal terhadap ketimpangan ekonomi regional di Provinsi Sulawesi Selatan. Metode penelitian yang digunakan adalah kuantitatif dengan menggunakan teknik analisis regresi linier berganda. Hasil penelitian menunjukkan bahwa transfer fiskal dalam bentuk dana alokasi umum (DAU) memiliki pengaruh signifikan terhadap peningkatan ketimpangan ekonomi regional, sedangkan dana bagi hasil (DBH) berpengaruh signifikan terhadap penurunan ketimpangan ekonomi regional, adapun dana alokasi khusus (DAK) tidak memiliki pengaruh signifikan terhadap ketimpangan ekonomi regional di Provinsi Sulawesi Selatan. Oleh karena itu efektivitas pengalokasian transfer fiskal sangat diperlukan terutama pada pemerataan infrastruktur dan peningkatan kuantitas serta kualitas sumberdaya manusia sehingga pada gilirannya diyakini akan berdampak pada penurunan ketimpangan ekonomi regional di Provinsi Sulawesi Selatan.

East Kolaka Regency is one of the regencies in Southeast Sulawesi Province which was only formed in 2013, the development efforts that have been carried out are inseparable from the development problems that are still being faced including problems of economic growth and income inequality. This can be seen from economic growth which tends to decline and the Gini ratio index which has not shown a consistent decline over the past few years. This study aims to determine which economic sectors are categorized as economic sectors that have high, medium, and low potential in East Kolaka Regency. The type of research used is descriptive quantitative. The type of data used is secondary data in the form of GRDP data for East Kolaka Regency during 2014-2021. Data collection techniques were carried out through online searches on the official website of the Central Statistics Agency for East Kolaka Regency and Southeast Sulawesi Province. The data analysis techniques used to determine sectoral economic potential in East Kolaka Regency consist of three, namely: location coefficient analysis (Location Quotient), production growth rate, and the contribution of the economic sector to GRDP formation. The results showed that the economic sectors that have medium potential in East Kolaka district are agriculture, forestry and fisheries, mining and quarrying, construction, and wholesale and retail trade, car and motorcycle repair. While the rest are in the medium potential category.