Resolusi : Rekayasa Teknik Informatika dan Informasi

Pengembangan Aplikasi Pembukuan Praktis Untuk UMKM Berbasis Software as a Service Menggunakan Metode Prototype

Gufron — 2024-09-07

Financial bookkeeping in a business activity is extremely important. With proper bookkeeping, business owners can monitor cash flow and create financial reports more easily and promptly, thereby helping and facilitating the development of their business into a more professional creative industry. However, many business owners face challenges in creating financial bookkeeping. The main issue is the knowledge of how to prepare accurate and proper financial reports. Additionally, business owners consider focusing on their business activities to be better than learning or creating financial bookkeeping. The purpose of this research is to produce an application that can assist micro, small, and medium enterprises in creating bookkeeping reports. The application development uses a Software as a Service (SaaS) approach because it offers several advantages for users, especially in terms of accessibility and cost. A SaaS-based application allows users to access the bookkeeping system anytime and anywhere as long as they have an internet connection. Furthermore, the SaaS model can reduce the cost burden required for purchasing software licenses. A prototype is used as the method for developing the application because it is one of the strategic steps in supporting the growth of micro, small, and medium businesses. With the increasing need for efficient digital solutions by MSMEs, the SaaS-based bookkeeping application produced in this research can provide ease in financial management, transaction recording, and financial reporting. In this context, the use of the prototype method allows developers and business owners to collaboratively build a purpose-built solution tailored to the specific needs of end users.

Penerapan Algoritma Random Forest Untuk Prediksi Penjualan Dan Sistem Persediaan Produk

Muhammad Syahrul Efendi — 2024-09-30

This study aims to optimize sales prediction and inventory management of Bolen Crispy products in Pekalongan Village using the Random Forest algorithm. Bolen Crispy entrepreneurs face challenges in the form of large sales fluctuations and difficulties in managing inventory efficiently. Mistakes in estimating the amount of sales can lead to shortages or excess stock, which has an impact on increasing operational costs and reducing customer satisfaction. This problem of overstocking and understocking has the potential to cause financial losses. The Random Forest algorithm was chosen because of its ability to handle complex data and produce more accurate predictions. By utilizing historical sales data, this algorithm is applied to predict product demand. Testing was carried out using sales data for one year, with a division of 80% for training and 20% for testing. Initial results show that the use of the Random Forest algorithm can increase the accuracy of sales predictions by up to 85%, compared to conventional methods. With more accurate predictions, inventory management becomes more efficient, reducing the risk of shortages and excess stock.

Implementasi Metode SAW dan TOPSIS Dalam Sistem Pendukung Keputusan Untuk Seleksi Calon Penegak Saka Bhayangkara

Maulida Syahri Ramadhani Damanik — 2024-09-30

Selection of Bhayangkara Saka Enforcer candidates at SMA Negeri 6 Pematangsiantar is done manually in the absence of weighted criteria that have an impact on prospective enforcers who will be selected based on the best abilities and criteria so that the system runs accordingly and efficiently. Prospective enforcers who qualify each year will be sent to participate in Saka Bhayangkara activities so that the selection is carried out annually and the system can be used continuously. So that Decision Support System technology can be applied as a solution. One of the methods that can be used is the SAW and TOPSIS method, this method was chosen because it is simple and easy to apply. The combination of SAW and TOPSIS methods in the decision support system is able to determine the best value from the assessment of 5 criteria with weights determined from the Bhayangkara Saka selection committee. This system can rank the highest to lowest score of each candidate. The accuracy of this system reaches 100% because the final result of the manual calculation matches the system calculation.

Klasifikasi Data Mining Pada Bibit Pertanian Dengan Menggunakan Algoritma Naïve Bayes

Pandu Rahmat Aprianto — 2024-09-30

Choosing the right oil palm seedlings is one of the efforts to increase the productivity of oil palm plants. At the time of seedling selection, the problem that is often faced is that not all types of seeds can be as desired by farmers against the conditions of different types of oil palm fruit seeds. Therefore, a system is needed that helps in determining the type of superior seedlings according to the needs of farmers. In this research the author applies a machine learning prediction model in determining oil palm seedlings based on leaf type, stem type, seed origin and stem candidates. The purpose of this research is to produce a classification model for determining oil palm seedlings and can provide accurate training for farmers in choosing superior seeds and also can farmers know the characteristics of superior seeds. The method used in this research is naïve bayes. In the first test, both models managed to achieve an accuracy of 84% and an F1-score value of 66%. However, the best performing Naïve Bayes model is the one used in the second test scenario, which is applied as a prediction model in determining oil palm seedlings through the website developed in this study, in the form of a Data Mining Classification System on Agricultural Seedlings at the Agricultural Extension Center of Tuah Negeri District, Musi Rawas Regency Based on Website which can assist in the selection process of oil palm seedlings that will be planted and get superior seedling results.

Analisis Supply Chain Management (SCM) Menggunakan Metode Value Stream Mapping (VSM)

Rosa Audya — 2024-09-30

Micro, Small and Medium Enterprises or commonly called (UMKM) is one of the businesses that can survive during a crisis, one of which is during the economic crisis and food crisis due to the Covid-19 outbreak that occurred in 2020. The activities of umkm have been regulated by the government in Law Number 20 of 2008 concerning micro, small and medium enterprises, Pondok Roti is one of the Micro, Small and Medium Enterprises (Umkm) engaged in the food industry in Lubuklinggau City. This business has been established for 4 years starting in June 2020 until now. Pondok Roti business can produce approximately 670 pieces of bread / day consisting of 11 types of flavors. One method that can be used in Supply Chain Management (SCM), namely the Value Stream Mapping (VSM) method is Value Stream Mapping is a visual method for mapping the production path of a product which includes materials and information from each work station. So, value stream mapping is one of the lean techniques commonly used to analyze the current flow of materials and information needed to bring a product or service to the consumer. The research results of this scientific work are if the PCE (Process Cycle Efficiency) value is less than 30% then it is included in the un-leand, or lean production process. And from the calculation of activities that are NVA (non value added) disebuat waste (waste). From the calculation process that was carried out, the net profit of Pondok Roti in one month was IDR 84,831,200 every month.

Perancangan Sistem Bot Alert Telegram Sebagai Notifikasi Deteksi Serangan Ping of Death Berbasis Snort

Dicky Rachman Juliandi — 2024-09-30

The Ping of Death attack is a type of denial of service (DoS) attack that exploits a vulnerability in the Internet Control Message Protocol (ICMP). This attack is carried out by sending a large number of pings that exceed the maximum limit allowed by the network, causing the server or network device to become slow or even unresponsive. This attack can have a severe impact on server and network performance, especially for services that require high availability such as the Sinanan Lubuklinggau server. This research aims to design a Telegram Bot alert system as an automatic notification tool to detect Ping of Death attacks on the Sinanan Lubuklinggau server, using Snort, a detection system software that is infiltrating the "NIDS" network. Snort is used to detect attacks by examining data packets passing through the network. If Snort detects suspicious activity such as a Ping of Death attack, the system will immediately send an alert via the Telegram bot. The alert contains detailed information about the attack, including the IP address, attacker, timestamp, and location of the affected network. This system has also been proven to work well in high-traffic network environments without disrupting server performance. By implementing this system, network administrators can act more quickly to prevent and manage the threat of Ping of Death attacks, thereby maintaining the stability and security of the Sinanan Lubuklinggau server.

Sistem Keamanan Rumah Berbasis IoT Menggunakan Sensor PIR

Dwika Jayusman — 2024-09-30

The rapid development of technology has had a significant impact on various aspects of life, including in the field of home security. One of the innovations in home security systems is the application of Internet of Things (IoT) technology that utilizes PIR (Passive Infrared) sensors to detect human presence in the room. This research aims to design and implement an IoT-based home security system using Node MCU ESP8266 V.3 as a microcontroller and PIR sensor as a motion detector. Currently, theft often occurs in homes especially when the house is empty. This can cause hassle for homeowners. For this reason, it is necessary to have a system that allows users to monitor the condition of their homes. This system can be used in real-time via Websever on a smartphone device, which is connected to the internet network. With this system, it is expected that homeowners can quickly get notifications when there is suspicious activity in the house, especially when the house is empty. This research is also expected to contribute to the development of IoT-based security technology that is more effective and efficient. The results of this research show that the home security system built is able to function properly, provide real-time notifications, and improve overall home security. Based on the test results with several providers such as Indosat, 3 (Three) and Telkomsel, the results obtained are: if the distance between the sensor and the object ranges from 1 to 5 meters, the sensor will read and give a signal “There is Movement”, but if the sensor is rare from the object ranging from 6 to 10 meters, the sensor cannot read the movement.

Rancang Bangun Sistem Informasi Manajemen Laporan Keuangan Dengan Menggunakan Metode Rapid Application Development (RAD)

Mega Retno Pratiwi — 2024-09-30

This study aims to design and build a web-based financial report management information system at PT Sapta Alamku Jaya to improve efficiency and effectiveness in managing financial reports. Currently, the company still uses Microsoft Excel, which causes problems in the reporting process and data storage, so inefficiencies often occur. To overcome this, the proposed system uses the Rapid Application Development (RAD) method, which allows rapid system development with an iterative approach. The system uses PHP Framework for web development and MySQL as the database. The results showed that the developed system could facilitate the admin in managing financial data and improve the accuracy and speed of the reporting process.

Impelentasi User Experience Questionnaire Untuk Analisa Kuliatas Online Travel Agent Terhadap Pengalaman Pengguna

Hary Juni Kurniawan — 2024-09-30

The development of advanced technology in Indonesia today allows various activities to be carried out digitally, including in the tourism and travel sector. Users often choose Online Travel Agent (OTA) applications that are easy to use in planning their trips, currently there are many Online OTA applications but the most commonly used are Traveloka, Tiket.com, and Agoda. These applications have the same characteristics, namely providing online ticketing, reservation, and accommodation services. This study aims to compare the three OTA applications using the User Experience Questionnaire (UEQ) method to measure application quality based on user experience assessed through six scales. Data collection was conducted using Google Forms distributed to users of Traveloka, Tiket.com, and Agoda applications, and obtained 214 respondents, consisting of 105 Traveloka user respondents, 66 Tiket.com users, and 43 Agoda users. The results of the user experience analysis from the UEQ Questionnaire show a positive impression because all applications get an evaluation with an average value above 0.8 on the six UEQ scales. From the comparison results of the three applications, Agoda is superior on the efficiency scale compared to Traveloka and Tiket.com despite having fewer respondents. This research provides an overview of the quality of user experience on the three OTA applications and can be a reference for application developers to improve the quality of their services.