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All Journal Jurnal Teknologi dan Manajemen Informatika Jurnal IPTEK INFORMAL: Informatics Journal JURNAL MEDIA INFORMATIKA BUDIDARMA JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Jurnal Teknologi Terapan Pangripta Jurnal Ilmiah Kajian Perencanaan Pembangunan
Saputra, Pramana Yoga
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences

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Improvisasi Teknik Oversampling MWMOTE Untuk Penanganan Data Tidak Seimbang Saputra, Pramana Yoga; Abdullah, Moch Zawaruddin; Kirana, Annisa Puspa
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 2 (2021): April 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i2.2811

Abstract

Imbalance data is a condition which there is a distinction in the quantity of data that results withinside the majority class (classes with very many members) and minority class (classes with very few members). It can complicate the classification process since the machine learning algorithm method is designed to classify already balanced data. The oversampling process technique is used to resolve data imbalance by applying synthetic data to the minority class in such a manner that it has the same volume of data as the majority class. MWMOTE is an oversampling technique that generates synthetic data based on members of the minority class clusters that are close to the majority class. This approach is capable of generating synthetic data well. The resulting synthesis data remains in the nearby majority region and too dense on the border of the cluster. It is hence permitting the resulting synthetic data to go into the majority class classification. This study is objectives to improve the process of generating synthetic data on MWMOTE so that the resulting data is extensively dispensed withinside the minority class. The outcomes of the test show that the proposed method is capable of enhancing the classification performance for KNN and C4.5 Decision Tree classification sequentially by 0.46% and 0.96% compared to MWMOTE
Information System for Predicting Warehouse Stock and Utilities (Case Study: PT KERAMIK XYZ) Pramitarini, Yushintia; Saputra, Pramana Yoga; Putri, Alindya Kirana
Jurnal IPTEK Vol 25, No 1 (2021)
Publisher : LPPM Institut Teknologi Adhi Tama Surabaya (ITATS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.iptek.2021.v25i1.1192

Abstract

PT KERAMIK XYZ is one of the companies engaged in the production of ceramics. The company sometimes subjected to declining wall tiles on the market and at warehouses where wall ceramic stocks are sometimes subjected to buildup. Therefore, the research of "Information System Prediction Stock and Warehouse Utility" uses the Fuzzy Time Series Markov Chain method and Fuzzy Mamdani Method. So that the problem of ceramic wall stock and the layout of the placement of ceramic wall stock in the warehouse does not occur again and can be resolved. In the Fuzzy Time Series Markov Chain method, the calculation of prediction results of ceramic stocks of the Base Tile dCaliza Valle type results in forecasting values of (0, 717, 483, 483), then by means of the MAPE (Mean Absolute Percent Error) test method produces an error percentage of 13%. The results of the calculation of the level of accuracy are good and can be used in this case study. So, the results of the calculation of the level of accuracy are good and can be used in this case study. Then for the results of the prediction of the layout of the ceramic stock placement in the warehouse using the Fuzzy Mamdani method get an accurate calculation of 22%.
Prediksi Kuantitas Hasil Budidaya Ikan Konsumsi Menggunakan Penerapan Metode Regresi Data Syaifudin, Yan Watequlis; Al Masyriqi, Syifa’ul Ikrom Syifa’ul Ikrom; Saputra, Pramana Yoga; Fatmawati, Triana
INFORMAL: Informatics Journal Vol 9 No 1 (2024): INFORMATICS JOURNAL (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v9i1.43292

Abstract

In the present era, the industrial 4.0 revolution marks technological advancements in the fisheries sector, making fish farming industries increasingly effective and efficient. Predictions related to future fish harvest production can be used as considerations in planning. This research aims to build a prediction system for fish farming harvests by comparing four regression methods: linear regression, polynomial regression, random forest regression, and support vector regression to obtain accurate predictions. With the existence of this harvest prediction system, it is expected to provide information about the quantity of future harvests, enabling harvest partners to take appropriate steps to enhance their profitability. Based on the research results, the best regression model is polynomial regression. This model yields an average Root Mean Square Error (RMSE) value of 4.39 and an average Mean Absolute Percentage Error (MAPE) value of 0.41%. This indicates that the regression model has good and accurate prediction capabilities.
Model and Urgency of the Role of Academics in the CreativeIndustry Ecosystem of Malang City Syaifudin, Yan Watequlis; Siradjuddin, Indrazno; Mundzir, Hudriyah; Fatmawati, Triana; Saputra, Pramana Yoga
PANGRIPTA Vol. 7 No. 1 (2024): Pangripta Jurnal Ilmiah Kajian Perencanaan Pembangunan
Publisher : Badan Perencanaan Pembangunan Kota Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (90.359 KB) | DOI: 10.58411/44grz161

Abstract

The popularity of the creative industries continues to rise around the world, both among consumers and entrepreneurs who are due to a variety of factors, including technological advances and changes in consumer behavior. Malang City has also been recognized as one of the cities that has great creative economic potential. The direction of development of Malang City is also increasingly clear leading to strengthening its status as a creative economy city marked by three milestones. To build an optimal industrial ecosystem in the creative economy sector, especially in Malang City, requires a hexahelix synergy approach which refers to cooperation between six entities in developing a better and sustainable innovation ecosystem. Collaboration between industry and academia has a very strategic role because it can provide significant benefits for the quality of innovation and research development of the creative industry. The government also strongly encourages academics to collaborate with industry, government, media, and society, where various programs are directed to encourage collaboration between universities and industry to conduct joint research and development. A concrete example is the existence of an independent research center called ISDEI (Intelligent Systems and Digital Economic Innovation) which has collaborated for research and community service. With great academic research potential with the existence of more than 50 higher education institutions, the Association of Creative Economy Academics (AACE) is committed to being an aggregator in the creative economy ecosystem at the Malang Creative Center (MCC) that synergizes academic activities from academics with creative industry players, the Malang City government, and the creative economy community in Malang City.
Implementasi Platform Match Making sebagai Strategi Pemberdayaan UMKM Ekonomi Kreatif Kota Malang Saputra, Pramana Yoga; Syaifudin, Yan Watequlis; Mundzir, Hudriyah; Fatmawati, Triana
Jurnal Teknologi dan Manajemen Informatika Vol. 10 No. 2 (2024): Desember 2024
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmi.v10i2.14769

Abstract

Creative Economy SMEs (Small and Medium Enterprises) Indonesia, as part of micro, small, and medium enterprises, play a vital role in the national economy with their creative and innovative value addition. This sector encompasses 17 subsectors, including culinary, film, and applications. Malang City, recognized as one of Indonesia's creative cities, exhibited significant growth with 12,345 creative economy MSMEs in 2022, a 10.5% increase from the previous year. The three dominant subsectors are culinary, applications and games, and film, video, and animation. However, MSMEs in Malang face challenges such as lack of capital, low product quality, unappealing packaging, and difficulty in reaching markets. To address these issues, an innovative collaboration platform has been developed, connecting MSMEs with communities, investors, academics, and the government. Through these efforts, MSMEs are expected to enhance competitiveness, product quality, and market access, supporting sustainable growth in the creative economy sector.
Utilizing OpenStreetMap for Collaborative Mobile Reporting System in Irrigation Infrastructure Management Syaifudin, Yan Watequlis; Saputra, Pramana Yoga; Abdullah, Zaed; Kyaw, Htoo Htoo Sandy; Rahmadani, Alfiandi Aulia; Fatmawati, Triana
JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Vol. 8 No. 1 (2025): February 2025
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jeemecs.v8i1.14233

Abstract

Irrigation involves the artificial application of water to the soil, crucial to promoting crop growth where rainfall is insufficient, thus supporting healthy plant development and increasing yields. In Indonesia, a large part of the irrigation infrastructure is in disrepair, affecting agricultural productivity and causing food shortages and economic instability, especially among low-income populations. To manage this, local organizations oversee the maintenance of irrigation systems categorized into primary, secondary, and tertiary canals, prioritizing repairs based on severity. Meanwhile, mobile phones have become an essential part of everyday life in Indonesia due to their affordability and utility, which facilitate access to digital resources. Anticipated to reach 97% smartphone penetration by 2029, particularly with Android devices, this technology supports an innovative mobile application strategy for irrigation maintenance. This app enables farmers and community members to report issues collaboratively, accelerating the identification and repair process to improve agricultural management. Complementing this approach, OpenStreetMap (OSM) provides an editable global map resource, continuously updated by users and leveraging tools such as Leaflet JS to offer developers the ability to create interactive and customizable maps, enhancing infrastructure management through community participation. This study introduces a mobile reporting system for managing irrigation infrastructure, integrating several technical components to effectively address maintenance needs. Requiring compatible browsers like Chrome and Safari with specific minimum versions and at least Android 4.0 for accessibility, the system features a public-facing mobile website using OpenStreetMap for mapping. It includes a back-end server that serves mobile and monitoring applications and uses Firebase to store images of irrigation damage while managing database operations with PostgreSQL. The technical setup involves Windows 11, Visual Studio Code, PHP with Laravel for backend operations, and React JS with Leaflet JS for front-end design, running on hardware featuring an Intel Core i5 CPU and NVIDIA GTX 1650 GPU. Key APIs like Get Close Segments, Post Report, and Get The system facilitates data submission with locations and photos, provides report history viewing and filtering, and enhances user engagement through transparency in infrastructure management. The test with local farmers demonstrated the responsiveness and compatibility of the system across various platforms, ensuring that user reports are processed efficiently with reliable admin access for monitoring and tracking.  
SISTEM PREDIKSI JUMLAH PENGUNJUNG WISATA PANTAI MENGGUNAKAN METODE DOUBLE EXPONENTIAL SMOOTHING Dian Febrianti, Siti Zumaroh; Harijanto, Budi; Saputra, Pramana Yoga
Jurnal Teknologi Terapan Vol 11, No 2 (2025): Jurnal Teknologi Terapan
Publisher : P3M Politeknik Negeri Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31884/jtt.v11i2.696

Abstract

Tourism plays an important role in the economic growth of a region. One of the factors that affect the tourism revenue sector is the number of visitors. An unexpected increase in the number of visitors can cause difficulties for tourism managers in providing the best facilities and comfort and safety for vacationing visitors. A prediction system for the number of visitors is needed as an overview of the level of tourism visitors for the coming period and can provide information to tourism managers to prepare better facilities and infrastructure and be able to manage revenue. Prediction of the number of visitors to Kelapa Beach Tourism can be done by applying the Double Exponential Smoothing method. In this study, the data used were 69 data on the number of monthly visitors to Kelapa Beach Tourism from 2018 to 2024. The test results show that the average minimum MAPE value generated is 16.36%. Based on the MAPE criteria scale, it is included in the good category and it can be concluded that this system helps the Kelapa Beach Tourism management team in predicting the number of visitors in the next period.
IMPLEMENTASI GAMIFIKASI DALAM PLATFORM PEMBELAJARAN PEMROGRAMAN BAHASA JAVA BERBASIS WEBSITE Saputra, Pramana Yoga; Yunianto, Dika Rizky; Rozi, Imam Fahrur; Nurhasan, Usman; Wijanarko, Eko Setio; Al Huda, Muhammad Iqbaluddin
Jurnal Teknologi Terapan Vol 10, No 2 (2024): Jurnal Teknologi Terapan
Publisher : P3M Politeknik Negeri Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31884/jtt.v10i2.637

Abstract

The Industry 4.0 era is characterized by a revolution involving automation and artificial intelligence, distinguishing it from previous generations. This automation is driven by machine learning, a system that enables machines to learn from experience and data. Machine learning requires strong programming skills, which are developed through effective learning processes. However, many students encounter difficulties in learning programming, particularly during the pandemic, which has hindered face-to-face instruction. These difficulties include a lack of motivation and understanding in problem-solving. To address these issues, researchers conducted a study by developing a web-based programming learning platform that implements Gamification learning methods. This technology-enhanced learning platform is specifically designed for the Java programming language and aims to enhance student motivation and understanding through online learning modules and practical exercises. The results of this study demonstrate that the use of the learning platform has a significant positive impact, as evidenced by Wilcoxon test results. The testing results show that 20 users of the system experienced improved learning outcomes. The Asymp.Sig (2-tailed) value of 0.000 indicates that there is a significant effect of using the learning platform on the Java programming learning outcomes for users..
Co-Authors Abdullah, Zaed Al Huda, Muhammad Iqbaluddin Al Masyriqi, Syifa’ul Ikrom Syifa’ul Ikrom Annisa Puspa Kirana Astiningrum, Mungki Budi Harijanto, Budi Dian Febrianti, Siti Zumaroh Dian Hanifudin Subhi Dika Rizky Yunianto, Dika Rizky Dwi Puspitasari Faisal Rahutomo Fatmawati, Triana Fidyawan, Miftahul Agtamas Hudriyah Mundzir, Hudriyah Imam Fahrur Rozi Kyaw, Htoo Htoo Sandy Moch Zawaruddin Abdullah Prakoso, Ilham Agung Pramitarini, Yushintia Putra, Carfin Febriawan Pratama Putri, Alindya Kirana Rahmadani, Alfiandi Aulia Rohmah, Maya Shoburu Siradjuddin, Indrazno Usman Nurhasan Wijanarko, Eko Setio Winatama, Fahmi Zain Afif Yan Watequlis Syaifudin