Bangsal Village is in the South Sumatra region within the district of Pampangan Ogan Komering Ilir. The village has potential including buffalo milk, sugar puan, sagon, penjem (a kind of yoghurt), curd (a kind of butter for cooking oil), smoked-fish, fish-crackers and swamp-rice with high iron mineral (Fe). Majority of Bangsal villagers are buffalo breeders. The potential possessed by Bangsal Village can be expected to make the villages has food sovereignty, economic independence and local wisdom in culture. The Computer and Information Technology (ICT) is one of the tools to develop Website. The Website can be a media for promotion of potentials and products owned by Bangsal Village. Everyone can easily search for information and knowledge about the village without having to go directly to the village. The development of the village Website requires an active role from the Bangsal Village community and community itself. Website management training has given to several village community participants with good results. These can be seen from the ability of participants to complete more than 70% of the tasks given by the trainer.Abstrak Desa Bangsal merupakan wilayah Sumatera Selatan yang berada dalam kabupaten Ogan Komering Ilir Kecamatan Pampangan. Desa Bangsal Memiliki Potensi yang sangat baik diantaranya susu kerbau, gula puannya, sagon, penjem (semacam yoghurt), dadih (semacam mentega untuk minyak goreng), ikan asap, kerupuk ikan dan padi rawa yang termasuk beras yang kaya zat besi (Fe). Selain itu hampir mayoritas masyarakat desa adalah peternak kerbau. Potensi yang dimiliki oleh Desa Bangsal bila dikembangkan, maka diharapkan dapat menjadikan desa sebagai salah satu desa yang memiliki kedaulatan pangan, kemandirian ekonomi dan kearifan lokal sebagai kepribadian dalam budaya. Pengembangan potensi desa yang dapat dilakukan adalah memanfaatkan Teknologi Komputer dan Informasi melalui pengembangan website desa. Website desa dapat menjadi media promosi potensi dan produk yang dimiliki Desa Bangsal. Semua orang dapat dengan mudah mencari informasi dan mengenal desa tanpa harus langsung ke desa melalui website. Pengembangan website Desa Bangsal memerlukan peranan aktif dari perangkat dan masyarakat desa. Pelatihan pengembangan dan pengelolaan website yang diberikan ke masyarakat desa menunjukkan hasil yang baik, terlihat dari tugas yang diberikan 70% dari dapat diselesaikan dengan baik.

Classification is one method of data analysis in data mining that is used to form a model in order to describe the appropriate data class or model that predicts data trends. The Usage of classification has been applied in various areas, including in health areas. One of the classification methods used is Naive Bayes. This study aims to predict the weight of infants in maternal hypertensive and nonhypertensive conditions with Naive Bayes method. Data were taken as many as 219 data from pregnant women based on the medical record in Obstetrics and Gynecology of Muhammadiyah Palembang Hospital from January 1017 until September 2017. Data is divided into two groups, 188 for training data and 31 data for testing data. The performance data analysis was using WEKA and the results showed that the Naive Bayes’s accuracy is 80.372%. the accuracy score means Naive Bayes works well to predict the weight of infants in maternal hypertensive and nonhypertensive mothers. The result is expected to be a reference for others research by comparing it with other classification methods and incorporating other factors in pregnancy and multiple births or other factors.

<span id="docs-internal-guid-cd6caed5-7fff-5f99-0341-cb32fa5ad787"><span>The imbalanced data affect the accuracy of models, especially for precision and sensitivity, it makes difficult to find information on minority class. The problem is identified in the tracer study dataset Universitas Sriwijaya that has 2934 data. The label attribute is divided into several label classes, namely not tight, somewhat-tight, tight, very tight, and tightest. The number of the tightest and very tight is 27% and 38.6% of the number majority classes. In the study, the SMOTE is combined with eliminating the missing value of data to handle the imbalanced data. The method was evaluated by the classification methods KNN, ANN, and C4.5. The results of these methods show a significant increase in accuracy as a whole and a significant increase in the precision and sensitivity of minority classes. The precision and sensitivity of both the majority and minority are not too different, although the number of the minority is very less compared to the majority class. the information on minority classes can be obtained with quite high precision and sensitivity. As a conclusion, the proposed method is passably to improve accuracy and greatly affects the increase in sensitivity and precision.</span></span>

South Sumatera songket woven cloth is one of the cultural assets of South Sumatera Province which is usually used at weddings and other traditional ceremonies. One of the villages which is famous as a producer of songket cloth is a Penyandingan Village. The songket cloth industry in Penyandingan Village experienced a decline in turnover of up to 60% during the Covid-19 pandemic. This is supported by the lack of knowledge of society regarding marketing strategies and technology in marketing products. For this reason, Shopee market management training is needed for songket cloth craftsmen and the Penyandingan Village society through the Sriwijaya University Thematic Community Service team program so that the marketing of songket fabrics can reach a wide market and be able to compete with other products. The method used is the lecture method including data collection planning and implementation of activities. The research analysis uses descriptive analysis to provide a general description of the implementation of the Shopee marketplace training. After the training was carried out, Penyandingan Village society was able to understand the material and apply it directly using the Shopee application, and could be applied on a sustainable scale so that sales of songket cloth could increase. AbstrakKain tenun songket Sumatera Selatan merupakan salah satu aset budaya dari Provinsi Sumatera Selatan yang biasanya digunakan pada acara pernikahan dan upacara adat lainnya. Desa Penyandingan merupakan salah satu desa sebagai penghasil kain tenun songket di Sumatera Selatan. Selama masa pandemi Covid-19, industri kain tenun songket di Desa Penyandingan mengalami penurunan pemesanan sehingga kehilangan omzet sampai 60% dari biasanya. Hal ini didukung dengan minimnya pengetahuan masyarakat penyandingan mengenai strategi pemasaran dan teknologi dalam memasarkan produk. Untuk itu diperlukan pelatihan pengelolaan marketplace Shopee bagi pengrajin kain songket dan masyarakat Desa Penyandingan melalui program tim pengabdian KKN Tematik Universitas Sriwijaya. Kegiatan ini bertujuan memberikan pemahaman dan pengetahuan pemanfaatan marketplace

The study period pattern of student can facilitate the stakeholders to improve education services in their institutions. This study investigated the study period pattern of the graduated students from January 2014 until February 2018 with the C4.5 algorithm. The obtained data from three academic years 2011, 20112, and 2013 is 140 students with 18 frequently repeated subjects. The total attributes that used in the study are 19 attributes. These attributes contain 18 frequently repeated subject and one attribute for the label is from the study period of a student (punctual or not punctual). This study used the method of K-fold cross-validation with K = 10 and the percentage split with the percentage is 66% to measure the performance of the algorithm C4.5. The results of both methods showed that the subjects that affect sequentially in the study period of the student are a complex function, numerical methods, introduction to computer science, computer programs and basic physics. The accuracy of the results obtained from both the training process K-fold cross-validation amounted to 84.29% and 72.92% for percentage split. It shows that algorithm C4.5 is quite well in predicting the pattern of the study period of a student majoring in mathematics, Department of Universitas Sriwijaya.