Desain Informasi Cara Bayar Penerimaan Negara menggunakan Pemodelan Finite State Automata

Sheep are one of the livestock that can provide benefits such as meat, milk, and skin which are used as a source of income for the community, especially in the Asahan regency area. However, still, the farmer's knowledge in terms of care and knowledge of sheep diseases can result in the sheep being able to die. The purpose of this study was to create an expert system to diagnose sheep disease using the theory of Bayes. The waterfall is used as a model in this study with stages, analysis, design, implementation, and testing. analysis was carried out to find the required data using observations and interviews. The design of this system consists of Unified Modeling Language (use case ), diagram classes, flowcharts, and interfaces. Testing the system uses a black box which aims to find out the functionality of the system that has been implemented, and data analysis using the theory of Bayes. Our findings resulted in bayes having an expert system for the diagnosis of diseases in sheep. The results of Bayes analysis with the theory of Bayes showed that the disease experienced in sheep is deworming with a probability level of 60.71%. The results of the black box test show that the functionality of this system is already running well

Section: Metodeunclassified

Penerapan Teorema Bayes pada Sistem Pakar Pendeteksi Penyakit Domba

Andika¹,

Maharani²,

Mardalius³

2022

“…Pengembangan E-SCM harus terjadi dalam fase yang sesuai dengan siklus yang digunakan dalam pembuatan atau pengembangan sistem informasi untuk penyelesaian masalah yang efektif. System Development Life Cycle (SDL) adalah model siklus dalam membangun aplikasi atau sistem dengan tahapan analisis (Fadhlurrahman & Capah, 2020;Mahmud et al, 2022), desain, implementasi (Muntohar, 2020), dan pengujian (Rizki & Mulyati, 2020). Tahap analisis kami melakukan agar tidak terjadi kendala dalam pemecahan masalah dan proses dapat berjalan dengan baik.…”

Section: Metodeunclassified

Sistem E-SCM untuk Manajemen Suplai Barang Produksi Pecah Belah berbasis Web

Ramadhani¹,

Hambali²,

Akmal³

2022

E-SCM is a system that can manage the delivery of goods that can be integrated between consumers, suppliers and traders. The purpose of this research is to create a web-based E-SCM system for glassware inventory management, which will be implemented at the Glosir Raju store. The model used to build this system is the system development life cycle, which includes the analysis, design, implementation, and testing phases. Data collection techniques were carried out by interview and observation. While the design phase in this research consists of making interfaces, use case diagrams, and class diagrams. Our result is a web-based E-SCM system for managing the distribution of glassware. The test results show that all functions work well in this system and follow the set design. Therefore, the E-SCM system for glassware shops makes the delivery of raw materials faster, and there are no delays in delivery, making the production process faster, more effective, and efficient, especially at the Glosir Raju store.

“…Membangun atau membuat sistem peramalan ini kami menerapkan model waterfall menggunakan tahapan analisis, desain, implementasi dan ujicoba (testing) (Afif et al, 2020;Afuan et al, 2021;Jardim et al, 2020;Kramer, 2018;Mahmud et al, 2022;Savard & Cyr, 2018). Pada tahapan analisis dilakukan pengumpulan informasi mengenai permintaan kantong darah dari masing-masing jenis golongan darah A, B, O dan AB berdasarkan permintaan di PMI dengan cara wawancara, observasi, dan dokumentasi.…”

Section: Metodeunclassified

Sistem Peramalan Permintaan Darah dengan Metode Simple Moving Average

Muttaqin¹,

Ramdhan²,

Kifti³

2022

Simple Moving Average (SMA) is a method used to forecast a state of affairs in the next period. This method is applied to determine the number of blood requests in PMI in the Asahan Regency area. Blood stock is an important factor to support activities in this PMI organization by paying attention to the condition of this month /period and predicting the next period. The purpose of this study is to build a blood demand forecasting system with the SMA method. The model used to build this system is a waterfall with stages of analysis, design, implementation and testing. The data we use for this forecasting is the demand for blood from July 2021 to June 2022. Data analysis used the SMA method to determine the rate of prediction errors in this system, while testing this system used a black box. The results of our products are in the form of a web consisting of the login menu, the main menu, the calculation results. The calculation results using the SMA method in our system are appropriate, and can display the number of blood demand stocks in each period. The results of testing the system using black box show that this system is running properly without any errors, and it is working properly. Therefore, the existence of this system can help pmi to determine the number of requests based on blood type.