25 Coffee has increased sales every day. This situation causes service to consumers to be disrupted because raw materials often run out. Some consumers do not get good service and some even wait too long but do not get the desired item. This situation will cause consumers to be reduced because they move to another seller's place. So this research is carried out to predict sales in maintaining the availability of raw materials so that services are guaranteed and improved. The method used in this study is Monte Carlo by processing sales data in 2019, 2020, and 2021. The results of this study are able to predict the number of beverage sales in the following years with an average accuracy rate of 91%, in 2020 , and 89% in 2021. So this prediction becomes a reference material for 25 COFFE parties to make decisions and improve services.

The increasing need for salt in the West Sumatra area is inversely proportional to the raw material for making salt. So the stock of salt for consumption becomes less. This causes the purchasing power to be cut off for the needs of regional consumers. Based on these problems, a research was conducted by conducting simulations to predict the amount of salt sales in controlling stock. This study aims to predict sales in maintaining service to consumer demand. The method that can be used in making predictions is the Monte Carlo Method by processing Salt sales data in 2019, 2020, and 2021 at PT. Prosperous Grace. The results of the study are able to predict sales of salt in the form of kilograms (kg) in the future. The average accuracy rate in 2020 is 88% and in 2021 is 91%. So that this research can be a reference in decision making by PT. Kurnia Sejahtera to improve services.

Menteri Pendidikan indonesia telah menetapkan wajib belajar 12 tahun namun hanya pada saat Sekolah Menengah Atas (SMA) saja peserta didik baru bisa menentukan jurusan yang diminatinya. Disetiap tahun ajaran baru panitia PPDB (Penerimaan Peserta Didik Baru) mengalami kesulitan dalam menentukan jurusan dikarenakan penentuan jurusan masih dilakukan manual sehingga adanya ketidakcocokan dengan minat bakat peserta didik yang diakibatkan oleh human erorr. Maka perlu dilakukan sebuah penelitian dengan tujuan untuk membantu panitia PPDB dalam menentukan jurusan secara akurat dan efektif agar minat dan bakat peserta didik dapat tersalurkan dengan tepat. Oleh karena itu digunakanlah metode algoritma C4.5 yang merupakan salah satu algoritma data mining yang menghasilkan pohon keputusan (decision tree) yang cocok dalam pengklasifikasian data yang banyak. Data yang dipergunakan dalam penelitian ini diambil dari nilai rapor peserta didik kelas IX tahun 2022 sebanyak 44 data rapor yang memiliki 11 variabel nilai mata pelajaran yaitu IPA, IPS, Bahasa Indonesia, PKN, Pendidikan Agama Islam, MTK, bahasa inggris, BAM Seni Budaya, TIK dan Penjas. Hasil dari penelitian ini didapatkan pohon keputusan (decision tree) dengan 17 rule (knowledge) yang telah di cocokkan dengan data real dengan tingkat akurasi yang sangat tinggi. Sehingga menjadikan penelitian ini dapat membantu serta menjadi patokan bagi panitia PPDB dalam menentukan jurusan peserta didik baru setiap dimulainya ajaran baru di SMA pertiwi 2 Padang

The increase in the number of patient visits that often occur at community health centers / puskesmas has caused some activities in health services to be slightly hampered, disturbed and less than optimal, resulting in some patients not getting comprehensive services and some even waiting too long in queues. The purpose of this study was to provide information to the health center about the prediction of an increase in the number of patient visits that might occur in the future. The data used in this study were patient visit data at the IX Koto Sungai Lasi health center from 2019, 2020, and 2021 to extract the data that was obtained. The method used in this study was the Monte Carlo method. The results of the study can predict patient visit rates in the following years with an average accuracy rate of 91%, in 2020, and 85% in 2021, the results of these predictions can be a reference for the Puskesmas to take action and policies to improve quality of service at the Puskesmas.

This research has been done research on the promotion of the rank of POLRI Members in this process is essentially the examination of the requirements for the proposed promotion of members of POLRI. this research is done design and manufacture of expert systems based rules (Rule Based) to help calculation requirements in the process determination of promotion in the process of appointing the promotion of members of POLRI. The inference method used is forward chaining where the tracking starts from the destination ie the type of the intended rank, then sought the rules of conditions that have tujua it for the conclusion. Tests conducted on this expert system include testing of police data that has prepared the requirements for the promotion process. The results of this study are expected to provide solutions and ease along with accurate information in the process of determining the promotion of members of POLRI Keywords: Expert system; forward chaining; promotion; rule based. Abstrak: Pada penelitian ini berisi tentang kenaikan pangkat Anggota POLRI yang proses intinya adalah pemeriksaan syarat-syarat untuk usulan kenaikan pangkat anggota POLRI. Dalam penelitian ini dilakukan perancangan dan pembuatan sistem pakar berbasiskan aturan(Rule Based) untuk membantu perhitungan syarat-syarat dalam proses penetuan kenaikan pangkat anggota POLRI. Metode inferensi yang digunakan adalah forward chaining dimana pelacakan dimulai dari tujuan yaitu jenis pangkat yang dituju, selanjutnya dicari aturan syarat-syarat yang memiliki tujuan tersebut untuk kesimpulannya. Pengujian yang dilakukan pada sistem pakar ini meliputi pengujian terhadap data polisi yang telah mempersiapkan syarat-syarat untuk proses kenaikan pangkat.Hasil dari penelitian ini diharapkan mampu memberikan solusi dan kemudahan beserta informasi yang akurat dalam proses penentuan kenaikan pangkat anggota POLRI. Kata kunci: Sistem pakar; Forward Chaining; kenaikan pangkat; Rule Based