BIMASAKTI : Jurnal Riset Mahasiswa Bidang Teknologi Informasi

PERANCANGAN SISTEM INFORMASI MARKETPLACE USAHA MIKRO KECIL DAN MENENGAH DENGAN FOKUS PADA SISTEM KONSINYASI

Richard Soegiarto, Meme Susilowati — Mon, 27 May 2024 00:00:00 +0700

The digital market is increasingly becoming a foundation for Micro, Small and Medium Enterprises (MSMEs) in developing and marketing their products. This project report discusses the design and implementation of a marketplace information system specifically designed to support MSMEs. This system aims to increase visibility, accessibility and operational efficiency for MSME players, so that they can compete more effectively in the digital economy era. This project involves analyzing MSME needs, designing an intuitive user interface, integrating secure payment systems, and developing special features that support marketing and inventory management. In addition, this report discusses aspects of data security and customer privacy as an integral part of implementing a marketplace system. In the development process, thorough testing and evaluation was carried out to ensure system reliability and performance. The success of this project is measured through the parameters of user satisfaction, MSME sales growth and improved operational efficiency. The results of this project are expected to make a positive contribution to the growth of MSMEs, open up new opportunities for marketing local products, and increase their competitiveness in an increasingly connected global market. This project is a strategic step in supporting the digital transformation of MSMEs towards a more sustainable and inclusive future.

KLASIFIKASI TINGKATAN KALORI MENU RESTORAN FAST FOOD DI INDONESIA MENGGUNAKAN METODE NAIVE BAYES

Muchamad Syahrul Munir, Danang Aditya Nugroho, Moh Ahsan — Mon, 27 May 2024 00:00:00 +0700

Fast food is food that is easy to package, easy to serve, practical, or processed in a simple way. The more often people consume fast food, the more threats to health will be. This is because fast food contains lots of saturated fat, trans fat, and sodium. In addition, fast food also contains a high level of calories, but not balanced with the nutritional content needed by the body. This study aims to find out: (1) calorie levels on fast food restaurant menus; (2) The learning process carried out by Naive Bayes in determining decision making; (3) The level of accuracy of calorie level suitability on fast food restaurant menus using the naïve bayes method.
This research method is divided into two stages, namely pre-processing and processing. The pre-processing stage is divided into three stages, namely data collection, data cleaning and data transformation. The data collection stage was carried out by downloading from Kaggle's official website which amounted to 515 data. Then at the cleaning stage, the data was taken the menus of fast food restaurants in Indonesia and only took 4 attributes. Then at the data transformation stage, namely giving labels to each attribute. The processing stage is done in two ways, namely manually and using the RapidMiner tool.
The results of the study showed that the average accuracy value produced was 82.35%. With the accuracy of each class attribute, namely Normal Calories by 80.65%, High Calories by 75.00%, and Low Calories by 90.48%.
The conclusions of this study are: (1) Naive Bayes algorithm can be used to classify the calorie level of fast food restaurant menus in Indonesia based on the main nutritional parameters, namely carbohydrates, fats, and proteins; (2) The use of the Naive Bayes algorithm can produce a fairly high accuracy rate of 82.35% so that it can be concluded that the classification results carried out by the algorithm have a match rate with the original data of 82.35%.

SISTEM INFORMASI REKRUTMEN KARYAWAN BERBASIS WEBSITE

Mohamad Doris Sambodo Putro, Meme Susilowati — Tue, 28 May 2024 00:00:00 +0700

Advances in technology, this recruitment information system aims to develop an employee recruitment information system specifically for the marketing division in a company. Currently, many companies still rely on conventional methods in the recruitment process, so it is necessary to increase efficiency through the use of information systems. This research uses the Waterfall method approach in system development, with a focus on user needs analysis, system design, and implementation. The system developed allows admins, managers and prospective employees to access information related to the selection process more efficiently. Test results show significant improvements in time efficiency and employee selection accuracy. The conclusion of this research confirms that the implementation of a website-based recruitment information system provides an effective solution to speed up and simplify the recruitment process, support accurate decision making, and increase the efficiency of human resource management in companies.

KETERAMPILAN DALAM MELAKUKAN PENGUKURAN BESARAN FISIS (LANGSUNG DAN TIDAK LANGSUNG)

Muhammad Sayyadi — Mon, 27 May 2024 00:00:00 +0700

The problem that often occurs in students who will do practicum is the lack of experience / prerequisite skills to do practicum. With this condition, it means that practice does not have innate skills from the previous level of education. The purpose of this study is to describe the basic skills of students of the Physics Education Study Program at PGRI Kanjuruhan University Malang in the Basic Physics Practicum course in using basic measuring instruments and skills in analyzing direct and indirect measurement results. Data collection was carried out using observation sheets and interviews. Purposive sampling is a technique carried out by determining samples with certain considerations. The length measurement skills obtained from 12 students were using a crossbar 64.3% skilled, using a caliper 55.95% skilled, using a screw micrometer 57.14% skilled. The mass measurement skills obtained are using a digital balance of 65.48% skilled, using a three-arm balance of 54.76% skilled. The time measurement skills obtained are using an analog stopwatch 63.10% skilled and using a digital stopwatch 60.71%. The indirect measurement skills obtained are that in measuring the volume of the copper cube 56.47% skillful, the density of the iron ball there are 53.57% skilled students.

PERAMALAN PENERIMAAN MAHASISWA BARU DENGAN PERBANDINGAN METODE REGRESI LINIER SEDERHANA DAN SINGLE EKSPONENTIAL SMOOTHING

Iqbal Fauzy, Himawan Pramaditya — Mon, 27 May 2024 00:00:00 +0700

This forecast is specifically to provide information on the number of new students in 2024-2025 for the number of new students in 2024-2025 using data on the number of students from the last 10 years. By using error analysis, the results of which are simple linear regression methods which can be said to be successful in covering the shortcomings of single exponential smoothing.

INVESTIGASI PERBANDINGAN COSINE SIMILARITY DAN EUCLIDEAN DISTANCE DALAM DETEKSI PHISHING ATTACK MENGGUNAKAN METODE K-NEAREST NEIGHBOR

Bibiana Da Frosa, Akhmad Zaini, Muhammad Priyono Tri Sulistyanto — Mon, 27 May 2024 00:00:00 +0700

The development of information technology affects various aspects of life. However, this positive impact also opens up opportunities for growing cybercrime, known as cybercrime (Iman et al., 2020). These crimes, such as carding, hacking, and phishing, threaten security in the digital realm (Gulo et al., 2021). Phishing, as a form of cybercrime, involves sending fake links to steal victim information (Wibowo & Fatimah, 2017). In the midst of the development of information technology systems, data mining has emerged as a solution, enabling all valuable information from big data. K-Nearest Neighbors (KNN) is a machine learning algorithm used for classification and regression (Dewi Obert & Gusmana, 2018). In K-Nearest Neighbor, distance methods such as euclidean distance, Manhattan distance, cosine similarity, and jaccard similarity are commonly used. The focus of this research is on euclidean distance and cosine similarity which are considered efficient and commonly used. The evaluation results show that the second method, cosine similarity and Euclidean distance, has a similar level of accuracy and speed in detecting phishing attacks. However, Euclidean distance stands out in phishing detection with an accuracy rate of 87.70% and a speed of 0.0172. Meanwhile, cosine similarity reaches an accuracy rate of 87.57% with a speed of 0.0360. Looping analysis consistently confirms the Euclidean distance speed advantage. In phishing attack detection, Euclidean distance is proven to be more effective in accuracy and speed.

DESIGNING USER INTERFACE AND USER EXPERIENCE ON LAND MAPPING SYSTEM USING HUMAN CENTERED DESIGN APPROACH

Ahmad Rizal Ilmi, Alexius Endy Budianto, Wahyudi Harianto — Mon, 27 May 2024 00:00:00 +0700

Tanggung Village with all the diversity of its people requires that the need for agricultural land is still limited because the process of delivering information to the community in Tanggung Village regarding land mapping and distribution of subsidized fertilizers is still not optimal. In this case, researchers designed the Land Mapping System application with a User Interface that is easily understood by community users, to get feature specifications that are in accordance with the needs, the SIPETA Application must have a good User Interface (UI) and User Experience (UX) so as not to cause new problems and differences in interpretation in its use. Using mixed methods, this research applies Human Centered Design as the basis for designing an application design named SIPETA (Sistem Pemetaan Tanah). This research will focus on two main issues, namely related to the process of designing the SIPETA user interface and analyzing users of the Land Mapping Information System (SIPETA) in providing agricultural information to farmers in Tanggung Village. The result of this research is a concrete application that can be applied to the land data collection process and makes it easier for the village officials to manage it.