Palembang is one of the regions in Indonesia which is known for having culinary which has a distinctive and delicious taste. Besides having a distinctive taste, Palembang cuisine also has its own story related to the history of Palembang City and the development of people's lives there. The many types of culinary and culinary tourist attractions in the city of Palembang provide its own obstacles for tourists and local residents in choosing a culinary meal and the route to the culinary location. The solution to the problem proposed is to make the application for the shortest route search for culinary locations typical of Palembang using the Euclidean Distance and A * algorithm. Euclidean Distance algorithm which is a calculation of the distance from two points as a basis in finding the shortest route and gives the user information about the location that is around the user by comparing the distances and applying the A * algorithm as a basis in finding the shortest route using the smallest estimated cost to achieve the goals to be achieved, and has a heuristic value that is used as a basis for consideration. The final results of the study showed that the algorithm performed had a high degree of accuracy in determining the shortest culinary route location in Palembang, namely the Mean Mean percentage error (MAPE) of 4.4%.

This application of an expert system for identification of oil palm plant diseases aims to make it easier for employees of the Oil Palm Research Center of Sungai Lilin Musi Banyuasin Business Unit to identify oil palm plant diseases based on the symptoms seen then this application provides solutions and appropriate control methods for plant diseases. the oil palm. The data used in this study are data on 10 diseases that exist in oil palm plants and 47 symptoms that appear. The method used in this expert system for identification of oil palm plant diseases uses the Forward Chaining method and the depth-first search tracking technique so that the tracking process will be tested from the first symptom to the last to get a conclusion in the form of the name of the disease along with its causes and how to control it. in this expert system, namely functional testing and expert system testing. Functional testing uses the Black Box method with the Equivalence Patitioning (EP) technique. System testing is carried out by system users, namely. Based on the results of testing with the Black Box method, the developed system functions as expected. Furthermore, expert testing is a test that compares the results of the system diagnosis with the results of expert diagnoses. Expertise test results also show good results. Furthermore, external testing, this test is by giving questionnaires to 35 respondents to get an assessment of the system. The results of the questionnaire (Expert) obtained a satisfaction value of 89.2%Keywords: Oil Palm Disease, Expert System, Forward Chaining Method, depth-first search

This research was conducted with the aim of knowing the performance of the PLN Peduli TJSL program organizers in 2021 and to determine the level of theecommunity satisfactioniindex((IKM) towards the implementation of the 2021 PLN Peduli Social and Environmental Responsibility (TJSL) program forrthe beneficiaries of the program. included in the descriptive research model using a quantitative approach and using the community satisfaction index analysis method. This research was carried out in a shop business by Bumi Sari which was managed by members of the multi-business cooperative (KSU) Gapoktan Rukun Santoso, Natar, Lampung Regency during October 2021. This research is classified as field research or field research. The population included in this study were all members of the Multipurpose Cooperative (KSU) Gapoktan Rukun Santoso. The sample collection method here is Non Probability Sampling with a total sample of 36 respondents who are beneficiaries of the PLN Peduli TJSL. The technique for collecting data is using observation, documentation and questionnaires using a questionnaire. The measurement is carried out using 14 indicators of the Community Satisfaction Index (IKM) based on the Decree of the Minister of State Apparatus Empowerment Number: 25/KEP/M.PAN/ 2/2004. The results of this study show that the IKM indicator with the largest indicator value (IKM) is 3.28 after being converted, which is 82.00 and theequality oftthe serviceeis in the service equality category "A" (Very good). Keywords: Satisfaction, Performance, Service, Community Satisfaction Index (IKM).

Kemajuan ilmu pengetahuan dan teknologi (IPTEK), khususnya teknologi informasi dan komunikasi (Information and Communication Technology, ICT) demikian pesat. Kemajuan ini tentu saja berpengaruh terhadap berbagai bidang kehidupan, termasuk di dalamnya pendidikan. Keberhasilan pelaksanaan otonomi dan globalisasi pendidikan hanya mungkin dapat dicapai dengan memanfaatkan teknologi informasi dan komunikasi dalam proses pendidikan. Khususnya di era pandemi COVID-19 ini pemerintah meminta seluruh pelajar di Indonesia untuk belajar di rumah untuk mencegah terjadinya penularan virus Covid-19. Di kutip dari jurnal posmedia.com bahwa Menteri Pendidikan dan Kebudayaan (Mendikbud), Nadiem Makarim mendukung kebijakan Pemerintah Daerah (Pemda) untuk meliburkan sekolah. Hal tersebut menyusul penyebaran virus Corona (Covid-19) yang semakin mengkhawatirkan. Selain itu, Ia juga mengapresiasi langkah swasta dalam menerapkan kebijakan yang sama. Berbagai perguruan tinggi dan sekolah mulai menerapkan sistem pembelajaran online. Seperti E-Learning, Google Classroom, Edmodo dan lain sebagainya. Pembelajaran jarak jauh mendorong munculnya perilaku social  distancing  dan  meminimalisir munculnya  keramaian  mahasiswa  sehingga  dianggap  dapat mengurangi potensi penyebaran Covid-19 (Firman and Rahayu, 2020). Sistem tersebut dinilai tepat karena pelajar tidak perlu khawatir ketinggalan materi. Dengan pembelajaran daring penggunaan aplikasi-aplikasi yang digunakan saat pembelajaran daring berlangsung selama pandemi covid-19.Kata kunci: IPTEK,  Aplikasi Pembelajaran Daring Selama Pandemi Covid-19.

With the COVID-19 outbreak and many conveniences in building mobile-based service applications. The Information System application can monitor children's health during the actual covid 19 pandemic online which can provide preventive and treatment measures during this pandemic period that we can do independently at home. By synergizing the e-counselling program for mobile-based child health services at the Kenten Palembang Health Center. Through a mobile-based e-counselling information system, it becomes a forum for information for mothers with toddlers who need health counseling services for children's diseases in the vicinity. The forward chaining method used in collecting data and information from the management and doctors of the Kenten Health Center with knowledge of the disease process by means of interviews, it was found that the facts most experienced by the surrounding community were the first types of facts, complaints, symptoms and suggestions for handling the two research rules by The third disease is how to implement E-Counseling for mobile-based Child Health Services. With the characteristics of the disease, symptoms, treatment, prevention. While the potential for online-based software development uses the waterfall method with technical use case diagrams, activity diagrams and class diagrams. MySql server application, Web server is used to support database creation. The results of this study can provide input and benefits, especially in child health service activities around the Kenten Palembang Health Center.Keywords: E-Counseling, forward chaining, waterfall, mobile-based