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All Journal Techno.Com: Jurnal Teknologi Informasi Scan : Jurnal Teknologi Informasi dan Komunikasi Jurnal Informatika dan Teknik Elektro Terapan Jurnal Sistem Informasi dan Bisnis Cerdas INTEGER: Journal of Information Technology JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Applied Technology and Computing Science Journal Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Journal of Information Systems and Informatics bit-Tech Nusantara Science and Technology Proceedings Jurnal Teknologi dan Manajemen International Journal Of Computer, Network Security and Information System (IJCONSIST) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Ilmiah Edutic : Pendidikan dan Informatika
Mandyartha, Eka Prakarsa
Informatics Department, Faculty Of Computer Science, Universitas Pembangunan Nasional “Veteran” Jawa Ti-mur, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology Social Sciences

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Design of Integrated School Learning Information System Using CodeIgniter Framework Arista Pratama; Asif Faroqi; Eka Prakarsa Mandyartha
Nusantara Science and Technology Proceedings 7st International Seminar of Research Month 2022
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2023.3326

Abstract

The development of Information and Communication Technology (ICT) requires schools to always improve the quality of learning by utilizing the use of ICT. The development of ICT in schools provides many new opportunities that can support the learning process. The use of ICT plays an important role in improving the quality of education by increasing the development of educational content, supporting administrative processes in schools, and increasing access to education for teachers and students through distance learning. Utilization of ICT in the school environment can also assist in evaluating and improving the abilities and knowledge of each student. This study aims to design an integrated school learning information system using the CodeIgniter framework. The design of the integrated school learning information system model uses the Unified Modeling Language (UML). The design of the integrated school learning information system uses the PHP programming language and MySQL as the database. Integrated school learning information system includes various features e-modules, e-daily tasks, question banks, e-tests, e-reports, and e-monitoring. Integrated school learning information system is expected to improve the quality of learning so that it can improve students' abilities and knowledge. Integrated school learning information system is also expected to make it easier to obtain information on the results of evaluating students' abilities and knowledge as well as being a medium that can improve student achievement and quality of graduation.
Community Services on Website Development for Agripina Kindergarten Surabaya as a School Profiling Media Eka Prakarsa Mandyartha; Eva Yulia Puspaningrum
Nusantara Science and Technology Proceedings 7st International Seminar of Research Month 2022
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2023.33101

Abstract

Agripina Kindergarten Surabaya, located in Rungkut District, Surabaya City, is an educational institution for pre-school education for early childhood and kindergarten. Agripina Kindergarten as an educational institution must be active in advancing the institution. The progress of educational institutions can be seen from the effectiveness in promoting schools to the community so that they can attract public interest in schools to these educational institutions. The rapid development of technology can be utilized by institutions in building relationships with the community and providing various information and facilities related to schools. This can be realized through the school website. The school website serves as a school profiling media. for that required the ability of human resources or teachers there in creating and managing web applications. Through the website as a school profiling medium, the identity of the school, the school's vision and mission, curriculum, teachers, student activities, and school facilities and infrastructure can be displayed. Through community service activities carried out by a team of lecturers from UPN veterans of East Java, they will provide training in the field of web creation and management for teachers there. Creating a basic school website through WordPress is taught through this activity, which serves as a type of training. WordPress is a website-based Content Management System (CMS) platform that can be operated by the public, without having special skills in the field of information technology such as programming. This community service activity aims to provide training to Agripina Kindergarten teachers to have the insight and skills to build a simple school website, it is hoped that teachers can use the website to build school profiling media to present themselves in the world of online portals.
A Motorcycle Safety System Design based on the Internet of Things Annisaa Sri Indrawanti; Ridho Rahman Hariadi; Eka Prakarsa Mandyartha; Agung Mulyono
Jurnal Teknologi dan Manajemen Vol 5, No 2 (2024): July
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat ITATS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jtm.2024.v5i2.5983

Abstract

A huge number of motorbike thefts are still happening in Surabaya City. The most way the thief does to steal the motorbike is damaging the ignition lock using a "T key" so that the motorbike can be started and can be taken easily by thief. Besides that, there are still many other ways to thief the motorbike. The number of theft cases indicates that there are some weaknesses in the safety system on motorbikes made by manufacturers, especially on motorbikes that use the conventional ignition lock system. Along with the rapid development of increasingly sophisticated technology, it can be utilized to improve the security system on motorbikes. The conventional ignition lock is very easy to break into and is not effective in preventing theft. Designing a system that can turn on a motorcycle through an e-KTP scanning using RFID can be the respond to the huge number of theft cases in Surabaya City. This system uses NodeMCU ESP8266 as a microcontroller that is connected to modules such as RFID, GPS, and relays. Through this system, the owner can also monitor the position of his motorcycle through an application connected to the GPS and microcontroller placed in the motorcycle. In case of theft, the motorcycle owner can turn off the motorcycle through the application then the motorcycle will die and cannot be restarted.
Harmony Search Algorithm Optimization of Fuzzy C-Means for a Hybrid Filtering Movie Recommendation System Muftah Hi M Naser; Eka Prakarsa Mandyartha; M. Muharrom Al Haromainy
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3258

Abstract

In the era of increasingly abundant digital content, personalized recommendation systems play a critical role in helping users efficiently identify relevant movies. However, traditional approaches such as Collaborative Filtering (CF) and Content-Based Filtering (CBF) continue to suffer from data sparsity, cold-start limitations, and unstable clustering performance. To address these constraints, this study proposes a novel hybrid recommendation framework that integrates Harmony Search (HS) optimization with Fuzzy C-Means (FCM) clustering inside a Hybrid Filtering (HF) architecture. Using a subset of the MovieLens dataset consisting of 560 users who rated the same 37 movies, 60% of the rating values were randomly removed to simulate sparse conditions. HS is employed to optimize the initialization of FCM centroids, improving clustering stability and reducing susceptibility to local minima. The resulting clusters are then leveraged in a hybrid combination of CF and CBF to generate final predictions. Experimental results indicate that the optimal configuration (num_cluster = 4, m = 1.5, α = 0.7) achieves RMSE = 0.8974, MAE = 0.7011, Precision = 0.7515, and Recall = 0.4628. Compared to baseline models, the proposed HS–FCM–HF framework improves RMSE by 37.3% over CBF-only and maintains 7.4% better Precision than CF-only, demonstrating stronger robustness and balanced performance under high sparsity. These findings highlight the theoretical and practical value of integrating metaheuristic optimization with hybrid filtering to enhance both accuracy and generalization. Future work may incorporate multimodal features or real-time adaptive mechanisms to further strengthen personalization capability.
Mobile Legends Match Outcome Prediction Based on Players Statistics Using CatBoost and XGBoost Ciptaagung Firjat Ardine; Eka Prakarsa Mandyartha; Achmad Junaidi
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3259

Abstract

Mobile Legends: Bang Bang (MLBB) is a mobile-based Multiplayer Online Battle Arena (MOBA) game with a vast global community and professional ecosystem. Despite the extensive use of machine learning in desktop-based MOBAs such as Dota 2 and League of Legends, predictive modeling for MLBB remains underexplored. This study addresses this research gap by developing and comparing two advanced gradient boosting algorithms CatBoost and XGBoost for predicting match outcomes based on individual player statistics. The dataset, collected through web scraping from the official MPL Malaysia Season 14 website, comprises 1,430 player-level records representing professional-level competitive matches. Both models were trained and evaluated using 5-Fold Cross Validation to ensure stability and robustness. The results indicate that CatBoost achieved the highest predictive accuracy, with an average of 96.15%, outperforming XGBoost, which attained 94.75%. However, XGBoost exhibited exceptional computational efficiency, completing the prediction process 99.62% faster 0.76 seconds compared to CatBoost’s 3 minutes and 21 seconds. These findings highlight the trade-off between accuracy and processing speed in esports predictive modeling. The study demonstrates the potential of gradient boosting approaches for MLBB-specific analytics, providing a novel contribution to the limited body of research on mobile esports prediction. Accordingly, CatBoost is more suitable for analytical or strategic contexts where precision is essential, while XGBoost is better aligned with real-time predictive systems that demand rapid computation and scalability.
The Trade-off between Energy-Accuracy in the IoT-based Activity Monitoring System Annisaa Sri Indrawanti; Eka Prakarsa Mandyartha
IJCONSIST JOURNALS Vol 6 No 2 (2025): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v6i2.131

Abstract

Activity monitoring system is used in many fields such patient’s activity monitoring system for self-quarantine in their home. The IoT- based activity monitoring system uses the limited resources (e.g., bandwidth, battery and memory) for monitoring the user’s activity. The limited resources (such as battery) provide the limited lifetime battery in activity monitoring system. By resource efficiency, it will extend the battery lifetime. Resource efficiency is achieved by adaptively reporting user activity depending on the level of the user’s activity emergency. But, when the user’s activity reporting data is based on the emergency level, then it reduces the data detail and its activity recognition accuracy. So, we develop energy-savings techniques for user’s activity reporting and analyze the effect of energy-savings techniques to the accuracy of activity recognition using different methods. The results show the energy-savings techniques can save battery life up to 8%, bandwidth up to 146,5 bytes/sec and memory up to 2,8% compared to non-energy saving technique. But the energy-saving techniques give less accuracy in the four different activity recognition methods up to 11% in average.
KLASIFIKASI PENYAKIT DAUN PADI MENGGUNAKAN SUPPORT VECTOR MACHINE BERDASARKAN FITUR MENDALAM (DEEP FEATURE) Devina Margarita; Hendra Maulana; Eka Prakarsa Mandyartha
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 9, No 4 (2024)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v9i4.5634

Abstract

Tanaman padi memiliki peran yang sangat penting dalam menyediakan pangan bagi populasi global. Namun, serangan hama dan bakteri dapat menghambat produksi padi dengan mengganggu proses fotosintesis dan fase generatifnya, yang berakhir pada penurunan kualitas dan kuantitas panen. Untuk mengatasi tantangan ini, penelitian ini mengusulkan pemanfaatan teknologi pemrosesan citra dan pembelajaran mesin. Metode yang digunakan mencakup Convolutional Neural Network (CNN) dengan arsitektur VGG-19 untuk mengekstraksi fitur citra, serta Support Vector Machine (SVM) dengan pendekatan pelatihan menggunakan Sequential Minimal Optimization (SMO) untuk klasifikasi. Penelitian ini terdiri dari lima tahap utama: preprocessing , pembagian data, ekstraksi fitur CNN, pelatihan SVM, dan evaluasi hasil. Berbagai skenario dengan kernel SVM yang berbeda dievaluasi, di mana hasilnya menunjukkan bahwa kernel RBF dan linear mampu mencapai akurasi tertinggi, yaitu 93,94%. Penelitian ini menunjukkan bahwa penggunaan CNN dan SVM dalam mengatasi hambatan klasifikasi citra penyakit daun pada tanaman padi, dapat memberikan hasil yang signifikan.
Perancangan Sistem Kendali Pompa Submersible Dengan Fuzzy Type-2 Berbasis IoT Dan Android Nafis Pratama Putra; Basuki Rahmat; Eka Prakarsa Mandyartha
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol. 15 No. 4 (2026): Agustus 2026
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v15i4.3764

Abstract

Rice, as a strategic commodity, faces major challenges due to climate change and the wasteful use of water in manual irrigation, which is only 30–50% efficient. This study developed a smart submersible pump irrigation system based on the Interval Type-2 Fuzzy Logic System (IT2FLS), integrated with the Internet of Things (IoT) and an android mobile application. The system uses an ESP32 microcontroller as the main control unit, soil moisture sensors, rain sensors, and Type-2 fuzzy logic processing on the server to generate automated decisions that are more robust against sensor data uncertainty. Testing was conducted on rice paddy fields. The test results showed that the system was able to save up to 38.7% in water usage and up to 38.6% in electricity compared to manual irrigation. The android application functioned well for real-time monitoring and remote control. This study proves that the integration of IT2FLS, IoT, and mobile applications can improve rice paddy irrigation efficiency and support the implementation of smart farming. Kata kunci: Interval Type-2 Fuzzy Logic; IoT; rice field irrigation; android app; submersible pump  Abstrak Padi sebagai komoditas strategis menghadapi tantangan besar akibat perubahan iklim dan pemborosan air irigasi manual yang efisiensinya hanya 30–50%. Penelitian ini mengembangkan sistem irigasi cerdas pompa submersible berbasis Interval Type-2 Fuzzy Logic System (IT2FLS) terintegrasi dengan Internet of Things (IoT) dan aplikasi mobile android. Sistem ini menggunakan mikrokontroler ESP32 sebagai unit kendali utama, sensor kelembapan tanah, sensor hujan, serta pemrosesan logika fuzzy tipe-2 pada server untuk menghasilkan keputusan otomatis yang lebih robust terhadap ketidakpastian data sensor. Pengujian dilakukan pada lahan sawah. Hasil pengujian menunjukkan sistem mampu menghemat penggunaan air hingga 38,7% dan listrik hingga 38,6% dibandingkan irigasi manual. Aplikasi android berfungsi dengan baik untuk monitoring real-time dan kontrol jarak jauh. Penelitian ini membuktikan bahwa integrasi IT2FLS, IoT, dan aplikasi mobile dapat meningkatkan efisiensi irigasi sawah serta mendukung implementasi smart farming. Kata kunci: Interval Type-2 Fuzzy Logic; IoT; irigasi sawah; aplikasi android; pompa Submersible
Co-Authors Achmad Junaidi Agung Mulyono Akbar, Fawwaz Ali Annisaa Sri Indrawanti annisaa sri indrawanti annisaa sri indrawanti Arista Pratama Arista Pratama Arista Pratama Asif Faroqi Basuki Rahmat beni tiyas kristanti Ciptaagung Firjat Ardine Devina Margarita Dhian Satria Yudha K. Eristya Maya Safitri Eva Yulia Puspaningrum Frisda Dita Isnaini Hapsari Wiji Utami Henni Endah Wahanani I Gede Susrama Mas Diyasa M. Muharrom Al Haromainy Made Hanindia Prami Swari Maulana, Hendra Muftah Hi M Naser Muhammad Helmi Satria Fedianto Muttaqin, Faisal Nafis Pratama Putra Nugroho, Budi Prabowo, Aris Retno Mumpuni Ridho Rahman Hariadi Syahrul Munir Yisti Vita Via yisti vita via