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All Journal SMARTICS Journal Jurnal Informatika Global JSAI (Journal Scientific and Applied Informatics) Jurnal Mantik
Dwi Asa Verano
Universitas Indo Global Mandiri
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Languange, Linguistic, Communication & Media

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GAME EDUKASI TEBAK GAMBAR BENDERA NEGARA MENGGUNAKAN METODE LINEAR CONGRUENTIAL GENERATOR (LCG) BERBASIS ANDROID Karli Ramadhan; Lastri Widya Astuti; Dwi Asa Verano
Jurnal Informatika Global Vol 6, No 2
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (396.443 KB) | DOI: 10.36982/jiig.v6i1.3

Abstract

The game is one of the entertainment media is the choice of children to relieve boredom or just for leisure. This game is not a means of entertainment, but it is a lesson to improve child development. This guessing game played in the form of image display using the following image is not moving so that the game felt static and monotonous. The development of the view of the games that begin to move with color graphics from the original form of dimensional approach. The games that will be made an interactive game. This is an interactive multimedia game with a controller that can be managed by the user, so the user can select any subsequent process of desired remedy, not menoton accompanied by images, sounds and features that attract so this game will be of interest to the game players have a number of criteria one of which is the educational game. Educational game that digital games designed for educational enrichment (support teaching and learning), using interactive multimedia technology and is expected to enhance learning to identify different countries flags. Applications developed flag game that has 10 levels of difficulty depending on each level, using a system based on Android Eclipse indigo are guessing. In the method of randomization flag was linear congruential generator (LCG). Linear congruential generator (LCG) is used to generate random numbers with uniform distribution, in the form of randomization in the state flag, the game design is intended to recognize the various state flag and its benefits for children to practice the logic ( analysis), training capacity spancial (intelligence picture), and the ability to read the game guess the state flag image, for parents like to give attention, accompanying them and monitor the child's development in the game
PENERAPAN ANALISA SWOT DALAM SISTEM PENDUKUNG KEPUTUSAN MANAJEMEN DI MUBAROK RESTO Ahmad Mubaroq; Rita Wiryasaputra; Dwi Asa Verano
Jurnal Informatika Global Vol 8, No 2
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (577.369 KB) | DOI: 10.36982/jiig.v8i2.321

Abstract

Information now become an absolute necessity for an organization or company to win a competition Along with the development of information needs, especially for restaurant owners to make decisions and to find out problems that occur in the restaurant, then developed an information system called decision support system. With decision support system information can be displayed in the form of a brief and displays the data in accordance with the needs so as to facilitate a restaurant owner in making decisions effectively, Problems that appear on Mubarok Resto that is not a system to help restaurant owners in making decisions on problems that occur in restaurants covers of internal and external factors of the restaurant.To overcome these problems is by applying SWOT analysis as a tool to analyze internal and external conditions in the development of decision support systems that specifically manage data information internal and external problems that occur in Mubarok Resto, the expected results of this research is to make a SWOT analysis application that can facilitate restaurant owners in making effective restaurant decisions.Keywords : Decision support system, SWOT, Management, Web applications.
Revitalizing health service with e-pharmacy: Technology integration in pharmacy service Dwi Asa Verano; Muhamad Risal Tawil; Kraugusteeliana; Tanti Widia Nurdiani; Diki Prayugo Wibowo
Jurnal Mantik Vol. 7 No. 1 (2023): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i1.3720

Abstract

To improve the quality and accessibility of services, health services must maintain pace with technological advancements. One of the technologies that can be implemented in pharmacy services is an e-pharmacy-integrated medication sales information system. This can accelerate drug data processing, inventory management, and drug sales transactions, as well as make it easier for users to obtain accurate and up-to-date drug information. The integration of technology in pharmacy services with drug sales information systems can enhance the effectiveness and efficiency of pharmaceutical services, as well as the management of drug stock in pharmacies. Through research, it is hoped to identify and analyze functional needs associated with designing and constructing e-pharmacy technology with information systems so that it can provide benefits for optimizing the use of information technology in providing users with easy access to information and enhancing the efficiency and effectiveness of technology-based services. As a consequence of the research, it is anticipated that the integration of technology in pharmacy services with a drug sales information system will yield greater community and health service benefits.
Benchmarking Kinerja Sistem Operasi Linux dan Windows dalam Pengelolaan Proses dan Memori Dwi Asa Verano; Evi Purnamasari
SMARTICS Journal Vol 11 No 2 (2025): Journal SMARTICS (Oktober 2025)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v11i2.13850

Abstract

The operating system plays an important role in managing computer resources, especially in the aspect of process and memory management. Currently, many do not know the level of operating system performance between Linux and Windows in managing processes and memory. This study aims to analyze and compare the performance of Linux and Windows operating systems in the context of multitasking process management and the efficiency of physical and virtual memory usage. The method used is a comparative experiment with direct testing using identical hardware and specifications. The parameters tested include CPU efficiency, context switching speed, idle memory usage, swap activation, and system response time when given a high load. The results of the study show that Linux has advantages in process load distribution, memory efficiency, and system stability when handling heavy loads. Windows, on the other hand, excels in application compatibility and ease of system monitoring through a graphical interface. Both systems have different characteristics that are suitable for different usage contexts. Recommendations are given based on the findings that Linux is more optimal for server environments and heavy computing, while Windows is more suitable for general desktop users with high graphics needs, with this the user can choose which operating system suits their needs.
Pendekatan Data-Driven untuk Pengembangan Model Prediksi Tingkat Kemiskinan di Provinsi Indonesia Evi Purnamasari; Dwi Asa Verano
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 1 (2025): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i1.7596

Abstract

Poverty in Indonesia remains a major issue that requires serious attention, particularly at the provincial level. Various factors, such as access to education, healthcare, and employment opportunities, affect the poverty rate. This study aims to develop a poverty prediction model using a data-driven approach through cluster analysis and classification. The methods used in clustering are K-Means, Hierarchical Clustering, and DBSCAN, while for classification, the algorithms applied are Random Forest, Naive Bayes, and Support Vector Machine (SVM). The clustering analysis results show that K-Means provides clearer cluster divisions with the highest Calinski-Harabasz Index value (179.45). In classification model testing, Naive Bayes provides the best results with an accuracy of 99.42%, which is higher than the other models. To address overfitting, cross-validation testing was conducted, yielding a Mean Accuracy of 99.32% and a Standard Deviatin of 0.23%. This study successfully identifies the factors influencing poverty levels in Indonesia’s provinces, which can be used as a basis for government policies in poverty alleviation efforts. The results achieved contribute significantly to the development of a more accurate and effective predictive model for addressing poverty issues in Indonesia.
Co-Authors Ahmad Mubaroq Diki Prayugo Wibowo Evi Purnamasari Karli Ramadhan Kraugusteeliana Kraugusteeliana Lastri Widya Astuti Muhamad Risal Tawil Rita Wiryasaputra Tanti Widia Nurdiani