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All Journal Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi
Setyo Permadi , Ginanjar
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Computer Science & IT

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GAME EDUKASI UNTUK ANAK DENGAN MENGUNAKAN METODE PATHFINDING ALGORITMA A STAR DALAM ENEMY BERBASIS ANDROID Syaifudin , Achmad; Setyo Permadi , Ginanjar
Inovate Vol 8 No 2 (2024): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i2.6162

Abstract

Game is a medium that bridges the interaction between humans and technological devices so that interaction is created between the two to produce the final result of an interaction. Games can be included in the media or learning tools. For children aged 7-14 years. Game is a tool or media to channel feelings and energy to get pleasure. Games played by children can be traditional games or modern games. When playing, children do not maintain cleanliness in playing traditional games. Not maintaining health results in germs that will enter the body. This game is intended for children's education using the A Star algorithm pathfinding method. The result of the problem above is an Android-based application. The method in this study is applied to enemies who can search for players by reading the range of available path maps. From the results of this android application there are several changes that are adjusted from the results of the data provided to 33 students. Have an average final result of each question for the android application is 4.64, 4.64, 4.48, 4.67, 4.39. Game updates are carried out on the results of the fifth question point which has the fewest points. This game is expected to educate to better maintain health. Keywords: pathfinding, A Star, games, education.
SISTEM-PENDUKUNG KEPUTUSAN PENERIMA-BEASISWA DENGAN METODE WEIGHTED-PRODUCT PADA MTS. MIFTAHUL ULUM JARAKKULON-JOGOROTO JOMBANG Marpuad; Setyo Permadi , Ginanjar; Fatkhur Rizal , Muhammad
Inovate Vol 8 No 2 (2024): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i2.6179

Abstract

Decision support system (DSS) is a computer-based system that helps during the decision-making process. Decision support systems are computer-based information systems through adaptability, interaction and flexibility, and are specifically developed to support unstructured management problem solving to improve decision quality. This decision support system can assist schools in the decision-making process to determine scholarship recipients at Mts Miftahul Ulum Jarakkulon-Jogoroto Jombang. In this decision support system, criteria are needed to be able to determine who will be selected as receiving the scholarship. In developing this decision support system, the authors use the methodweighted product as a method for decision making. Methodweighted product chosen because it is a weighted sum to find the weighted sum of the performance ratings for each alternative across all attributes. So the decision to receive a scholarship with the highest score in this system is the 27th choice with a value of 0.043 Keywords : Decision Support System, Selection of Scholarship Recipients, Weighted-Product.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN TEKNISI MITRA PSB TERBAIK MENGGUNAKAN SIMPLE MULTI ATTRIBUTE RATING TECHNIQUE (SMART) BERBASIS WEBSITE (STUDI KASUS TELKOM JOMBANG) Rendy Sahala , Mohammad; Setyo Permadi , Ginanjar
Inovate Vol 8 No 1 (2023): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i1.6185

Abstract

Employees are one of the company's assets that must also be managed properly, because they play an important role in an existing institution or company. One of them is an employee in the field of PSB partner technicians. Where the task of a PSB partner technician is very important in Telkom Jombang, namely being responsible for carrying out installation, maintenance and repair of fiber optic network integration. So it is important for Telkom Jombang. The data is in the form of Productivity Value, Speed Neatness, Quality, Installation, Responsiveness and Attendance. All data will get weight criteria and later the Company will determine the best new partner based on the Final Utility Value obtained by each employee. With 6 criteria, namely productivity, neatness, speed, quality of installation, responsiveness and attendance, the top 3 results obtained are the best PSB partner technicians, namely the first rank is Alternative-16 with the name IRVAN ADI PRASETIYO with a score of 90, the second rank is Alternative-34 with the name SUHERMAN with a score of 89 and the third rank is Alternative-27 with the name NICO WIJAYA with a scor of 88. Keywords: Employee,The SMART, Decision Support System
SISTEM PENENTU KEPUTUSAN PEMILIHAN KONTEN YOUTUBE LAYAK TONTON UNTUK ANAK DENGAN METODE ARAS (ADDITIVE RATIO ASSESSMENT) BERBASIS WEB Jimly Assidiqi , Achmad; Setyo Permadi , Ginanjar
Inovate Vol 8 No 1 (2023): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i1.6186

Abstract

This research aims to assist parents in monitoring what their children watch on the YouTube platform. YouTube is a social media site which allows users to watch and share videos. However, due to the large number of videos that are inappropriate for children, such as those containing violence, pornography, or other bad things, it is important for parents to choose appropriate and safe content. The ARAS (Additive Ratio Assessment) method is used this research as a decision system that assists in selecting content that is appropriate for children to watch. DSS (Decision support systems) play an important role helping parents overcome the problem of selecting appropriate content for their children. This can help parents make accurate and targeted decisions. This study found that of the 15 alternatives that have been selected, the highest ranking is Nussa animation with a Ki value of 1, followed by Pada Zaman Dahulu animation with a Ki value of 0.8425. Therefore, this research suggests Nussa animation as a worthy spectacle for children. Keywords: SPK, ARAS Method, Youtube, Children.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KARYAWAN TERBAIK DENGAN METODE SMART BERBASIS WEB (STUDI KASUS TELKOM JOMBANG) Solikhan; Setyo Permadi , Ginanjar; Fatkhur Rizal , Muhammad
Inovate Vol 8 No 1 (2023): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i1.6192

Abstract

PT. Telkom Jombang is still carried out with subjective perceptions by the team leader only, so that the assessment given is still not inaccurate. This can cause an injustice to the results of the best employee decisions. The Decision Support System method used in this study is the. The author chose this method because it has several advantages compared to other decision-making methods, one of which is being able to add/subtract alternatives The system can automatically provide ranking results so that it does not require manual calculations and allows the selection process to be carried out quickly, precisely and accurately. In several system tests carried out by the system, there was an error. From some of these tests, it can be taken that the system accuracy comparison value is 90%. Keywords: Employee,The SMART, Decision Support System
SISTEM REKOMENDASI JURUSAN BERBASIS WEB DENGAN MENGGUNAKAN METODE K-MEANS (STUDI KASUS : SMKN 1 JOMBANG) Nur David , Muhammad; Setyo Permadi , Ginanjar
Inovate Vol 8 No 1 (2023): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i1.6194

Abstract

Vocational education is a part of education that prepares students to work in a specific field and enables them to perform in a particular group of occupations. Therefore, in every new academic year, every student who wishes to enroll in a vocational school (SMK) will have to choose a major during their time at the school. The usual selection process for new students in vocational schools involves considering their academic records and other criteria. In order to address this issue and take into account students' interests, the author will develop a website that incorporates a department recommendation system for new students, applying the K-means method as a means of clustering new students. This is expected to provide a solution to the school's problem and assist in guiding new students based on their interests. K-Means clustering is a non-hierarchical clustering method that groups data into clusters or groups. The data will be grouped into clusters with similar characteristics, resulting in less variation in the shapes of the grouped data.The result of this research is the creation of a department recommendation system that is useful for prospective new students to receive recommendations on the major they should pursue through the department recommendation system. This is achieved by clustering the scores obtained by the students from the questions they have answered. The system aims to facilitate prospective new students in choosing the major they will pursue. keywords : Department Recommendation System, K-Means, value.
SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN KARYAWAN BARU TEBUIRENG ONLINE MENGGUNAKAN METODE MULTI OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS (MOORA) Amirudin Hidayatulloh , Muhammad; Setyo Permadi , Ginanjar
Inovate Vol 8 No 2 (2024): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i2.6206

Abstract

Employees are one of the most important assets owned by a company in its efforts to maintain survival, development, ability to compete and earn profits. researchers are interested in conducting research at the Tebuireng online Agency using the Multi-Objective Optimizaton on Basis of Ratio Analysis (MOORA) method. The application of the MOORA method is expected to provide benefits to obtain optimal alternative values from a number of alternatives and certain criteria which are then followed by a ranking process. Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) is a multi-objective system that optimizes two or more conflicting attributes simultaneously. This method is applied to solve problems with complex mathematical calculations. researchers created a website-based system to make it easier to make decisions easily and get results that match what the Tebuireng online agency wants. This decision support system is only a system to assist decision makers in determining the optimal choice, not a decision making system. Keywords: Employee, Decision Support System, Moora, Website
PERAMALAN PENJUALAN MAKANAN KERING TOKO IKM MART JOMBANG MENGGUNAKAN METODE DOUBLE EXPONENTIAL SMOOTHING BERBASIS WEB Fatimatuz Zahro , Siti; Setyo Permadi , Ginanjar
Inovate Vol 8 No 2 (2024): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i2.7006

Abstract

The IKM Mart Jombang store was chosen as the object of research study because sales at this company show a consistent growth trend every year. To deal with uncertainty and assist in decision making, the Double Exponential Smoothing method is used. This method has the advantage of handling situations with limited data and providing fairly accurate forecasting results. However, this method also has weaknesses, namely the difficulty in carrying out maintenance on a large scale. Because the Smoothing process is carried out twice, parameter maintenance is required so that the forecasting results remain accurate. Based on analysis with an alpha value of 0.3 on dry food sales with the smallest MSE value, namely alpha 0.3. In a comparison between system sales and dry food sales, system sales produce less scrap than dry food sales. For one year, from January 2022 to December 2022, testing the accuracy of dry food sales reached an average accuracy of 86%. Keywords: forecasting, Double Exponential Smoothing, sales
Co-Authors Amirudin Hidayatulloh , Muhammad Fatimatuz Zahro , Siti Fatkhur Rizal , Muhammad Jimly Assidiqi , Achmad Marpuad Nur David , Muhammad Rendy Sahala , Mohammad Solikhan Syaifudin , Achmad