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ATRIBUT ANCAMAN HANGING IN THE WILD ANDROID Neilin Nikhlis; Edy Siswanto
Informatika: Jurnal Teknik Informatika dan Multimedia Vol. 3 No. 1 (2023): Mei : JURNAL INFORMATIKA DAN MULTIMEDIA
Publisher : LPPM Politeknik Pratama Kendal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/informatika.v3i1.237

Abstract

Android adalah sistem yang kompleks, yang komponen dan aplikasinya dimaksudkan untuk bekerja bersama, menimbulkan hubungan saling ketergantungan yang sangat rumit di antara. Sementara itu, ekosistem Android dikenal sangat beragam dan terdesentralisasi: setiap versi OS dikustomisasi dan dikustomisasi ulang oleh berbagai pihak hampir secara independen dan digunakan oleh siapa saja yang dapat membuat aplikasi untuk versi tersebut. Android melindungi aset informasinya melalui kotak pasir aplikasi dan model izin, di mana setiap aplikasi berjalan dalam kompartemennya sendiri dan hanya dapat mengakses sumber daya global yang sensitif dan komponen aplikasi lainnya (penyedia konten, layanan, aktivitas, penerima broadcast) dengan izin yang tepat. Penelitian ini menggunakan pengurkuran Harehunter dengan tujuan untuk mendeteksi kerentanan Hare dalam aplikasi sistem Android secara otomatis. Eveluasi kinerja Harehunter dan HareGuard dilakukan dalam penelitian ini, yang keduanya terbukti sangat efektif. Pendekatan yang diguanakan disini adalah analisis diferensial, dengan mencari semua kode yang diekstrak, didekompilasi, dan file manifes untuk definisi atribut yang ditargetkan sebagai langkap awal, dan menjalankan parser XML. Hasil penelitian ini menunjukkan bahwa dampak Hares sangat signifikan. Penerapan HareGuard dalam penelitian ini terbukti efektif dalam mendeteksi semua aplikasi serangan yang dibuat. Evaluasi lebih lanjut terhadap kinerja berdampak pada inang sistem minimum. Untuk penelitian dimasa depan, agar Harehunter lebih efektif, disarankan untuk menggunakan pengaalisa yang lebih mumpuni. Sehingga arah ini dapat dieksplorasi lebih dalam lagi.
SISTEM INFORMASI KEUANGAN BERBASIS WEB DI KANTOR NOTARIS DAN PPAT SULISTIYANI,S.H.,M.Kn Anita Nur Setiyani; Ahmad Ashifuddin Aqham; Munifah; Edy Siswanto
Informatika: Jurnal Teknik Informatika dan Multimedia Vol. 5 No. 2 (2025): Oktober : JURNAL TEKNIK INFORMATIKA DAN MULTIMEDIA
Publisher : LPPM Politeknik Pratama Kendal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/informatika.v5i2.1415

Abstract

An The development of information significantly impacts the legal field, particularly in the administration and financial management of the Notary and PPAT Office of Sulistiyani, S.H., M.Kn. The conventional methods used often lead to errors and reporting delays. This research aims to develop a computer-based financial information system using the Research and Development (R&D) method. The system is designed to improve efficiency, accuracy, and data security. The results show that the developed system successfully minimizes recording errors and accelerates the financial reporting process. In conclusion, the implementation of this computer-based information system is effective and efficient in supporting the notary office's financial management.
PERANCANGAN SISTEM INFORMASI PENJUALAN BERBASIS WEB PADA UMKM MADU ASLI ZHAFIRA DENGAN MENGGUNAKAN DATABASE MYSQL Edy Siswanto; Zhafira Fikri Nada; Moh Muthohir; Teguh Setiadi
Informatika: Jurnal Teknik Informatika dan Multimedia Vol. 5 No. 2 (2025): Oktober : JURNAL TEKNIK INFORMATIKA DAN MULTIMEDIA
Publisher : LPPM Politeknik Pratama Kendal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/informatika.v5i2.1433

Abstract

The purpose of this study is to overcome problems occurring at UMKM Madu Asli Zhafira by creating a Web-Based Sales Information System using PHP & HTML programming languages and a MySQL database. The author used the RAD (Rapid Application Development) method for designing the information system, as this method uses an object-oriented approach to development. Using this method also speeds up the process and minimizes costs. The newly built system produces structured outputs that include product data, price data, product stock, product category data, account data, user data, and sales report data. In addition, this system offers important reports that enable UMKM Madu Asli Zhafira to collect information efficiently and accurately.
MACHINE LEARNING TECHNIQUE FOR CREDIT CARD SCAM DETECTION Fujiama Diapoldo Silalahi; Toni Wijanarko Adi Putra; Edy Siswanto
Journal of Technology Informatics and Engineering Vol. 1 No. 1 (2022): April: Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v1i1.143

Abstract

Credit Card (CC) scam In financial markets is a growing nuisance. CC scams increasing rapidly and causing large amounts of financial losses for organizations, governments, and public institutions, especially now that all payment methods for e-commerce shopping can be done much more easily through digital payment methods. For this reason, the purpose of this study is to detect scam CC transactions from a given dataset by performing a predictive investigation on the CC transaction dataset using machine learning techniques. The method used is a predictive model approach, namely logistic regression models (LR-M), random forests (RF), and XGBoost combined along particular resampling techniques that have been practiced to anticipate scams and the authenticity of CC transactions. Model performance was calculated grounded Re-call Curve (RC), precision, f1-score, PR, and ROC. The experimental results show that the random forest in combination with the hybrid resampling approach of SMOTE and removal of Tomek Links works better than other models. The random forest model and XGBoost accomplished are preferred over the LR-M as long as their global f1 score is without re-sampling. This demonstrates the strength of one technique that can provide greater achievement alike in the existence of class inequality dilemmas. Each approach, at the same time when used with Ran-Under, will give a great memory score but fails cursedly in the language of accuracy. Compared to the coordinate model sine re-sampling, the accuracy and RS are not repaired in cases where Tomek linker displacement was used. RF and xgboost perform quite well in terms of f1-S when Ran-Over is used. SMOTE increases the random forest draw score and xgboost but the precision score (PS) decreases slightly. Completely, during a hybrid solution of Tomek delinker and SMOTE was practiced with random forest, it gave equitable attention and RS in the PR-AUC. XGboost failed to increase the PS even though the same re-sampling technique was used. For future research, a fee-delicate study method can be applied as long as fee misclassifications. So for future research, it is very necessary to consider this behavior change and it is also very important to develop predictive models. In addition to this, much larger data is needed so that detailed studies on handling non-stationary properties in CC scam detection can be carried out better.
User Interface Berbasis Web Pada Perangkat Internet Of Things Sigit Umar Anggono; Edy Siswanto; Laksamana Rajendra Haidar Azani Fajri; Munifah
Teknik: Jurnal Ilmu Teknik dan Informatika Vol. 3 No. 1 (2023): Mei: Teknik: Jurnal Ilmu Teknik dan Informatika
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/teknik.v3i1.326

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Tujuan Utama: Tujuan utama dari penelitian ini adalah untuk menyediakan User-Interface (UI) berbasis web yang dapat mengatasi tantangan dan memberikan kontrol data secara real-time. Oleh karena itu, kami telah membuat prototipe User Interface yang dapat mendemonstrasikan konsep situs web pengelola IoT dan memberikan bukti penerapan konsep tersebut. Platform yang diusulkan dimaksudkan untuk berkontribusi dalam meningkatkan persepsi pengguna terhadap perangkat IoT. Background problem: Dengan kemajuan yang berkembang dalam teknologi Internet of Things (IoT), yang menggabungkan berbagai perangkat dengan fungsi, kemampuan, dan protokol komunikasi yang berbeda, penting untuk menyediakan platform yang memungkinkan pengguna IoT untuk berinteraksi dengan perangkat IoT mereka secara langsung dan dapat kelola mereka dengan mudah melalui platform itu dari berbagai lokasi kapan saja untuk melindungi privasi mereka saat menggunakan perangkat IoT. Metode Penelitian: Metode eksperimental dan survei digunakan dalam penelitian ini untuk mengevaluasi persepsi pengguna terhadap penggunaan sebuah platform yang menggabungkan semua perangkat IoT mereka dan memungkinkan mereka mengelola perangkat berdasarkan preferensi mereka melalui platform tersebut dan melindungi privasi mereka. Temuan: Temuan menunjukkan perlunya membuat platform di mana pengguna dapat mengontrol berbagai perangkat IoT dari jarak jauh. Ini juga menunjukkan bahwa prototipe situs web adalah platform yang mudah digunakan, dan dapat digunakan dengan mudah tanpa pengalaman teknis apa pun. Pengguna dapat mengakses informasi tentang perangkat IoT yang terhubung serta mengontrolnya. Kesimpulan: Prototipe dapat digunakan untuk mendemonstrasikan konsep aplikasi web yang diusulkan, sementara hasil survei menunjukkan kebutuhan untuk platform yang mudah digunakan untuk mengontrol perangkat IoT dari jarak jauh dan meningkatkan persepsi privasi pengguna di lingkungan IoT.
Smart Marketing Transformation: Optimalisasi Promosi UMKM Melalui Ai, Chatgpt, Dan Sistem Informasi Manajemen Teguh Setiadi; Edy Siswanto; Dendy Kurniawan; Ahmad Ashifuddin Aqham
Seminar Nasional Teknologi dan Multidisiplin Ilmu (SEMNASTEKMU) Vol. 5 No. 1 (2025): SEMNASTEKMU
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/b279z146

Abstract

Micro, Small, and Medium Enterprises (MSMEs) contribute significantly to Indonesia’s economy; however, technological advancements and shifts in consumer behavior require MSMEs to adapt more rapidly to remain competitive. Digital transformation has become a strategic and inevitable step in facing the dynamics of the modern market. This study offers novelty through the integration of Generative AI (ChatGPT) with Management Information Systems (MIS) as an innovative model to enhance MSMEs’ digital marketing capabilities. Using a literature review method with a qualitative approach based on 2020–2025 publications from Google Scholar, this study identifies that the utilization of ChatGPT not only accelerates information processing and service automation but also supports real-time, data-driven marketing decision-making. The findings demonstrate that the ChatGPT–MIS collaboration can create a smart marketing ecosystem that strengthens MSMEs’ competitiveness by improving operational efficiency, personalizing customer services, and optimizing digital promotional strategies. Case studies on TikTok and Tokopedia Kenangan confirm that the adoption of AI-based digital technologies can expand market reach, increase sales conversion, and improve inventory management. Nevertheless, challenges such as uneven digital infrastructure and low technological literacy need to be addressed through continuous training and mentoring. This study asserts that integrating ChatGPT into MIS presents a relevant and innovative approach for MSMEs to adapt to an increasingly dynamic digital business ecosystem.
ANALISIS MANAJEMEN ORGANISASI PADA PT TSP Hendri Rasminto; Edy Siswanto; Munifah Munifah; Ahmad Mansur
JURNAL AKADEMIK EKONOMI DAN MANAJEMEN Vol. 2 No. 4 (2025): JURNAL AKADEMIK EKONOMI DAN MANAJEMEN 
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jaem.v2i4.8854

Abstract

This study aims to analyze organizational management at PT TSP through the implementation of management functions including planning, organizing, leadership, and controlling. The research method used is a literature review by examining various secondary sources such as company annual reports, official documents, as well as journals and previous research relevant to organizational management, particularly in the pharmaceutical and consumer product industries. The results of the analysis show that PT TSP has a structured and integrated organizational management system, characterized by strategic planning based on SWOT analysis, a clear organizational structure, a defined division of tasks, and the application of an adaptive leadership style. In addition, the company also implements a performance control system through financial ratio measurements and effective risk management. Despite facing challenges such as intense industry competition and the impact of the Covid-19 pandemic, PT TSP is able to maintain the company's stability and performance through continuous evaluation and control. This research is expected to provide theoretical and practical contributions as a reference for similar organizations in improving the effectiveness of organizational management in a sustainable manner.
ROBOTIC AUTOMATION ON COMPUTER NUMERICAL CONTROL MACHINE Danang Danang; Zaenal Mustofa; Edy Siswanto
Journal of Engineering, Electrical and Informatics Vol. 2 No. 2 (2022): Juni: Journal of Engineering, Electrical and Informatics:
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v2i2.914

Abstract

Along with the advancement of robot technology, Computer Numerical Control (CNC) machine robot automation is becoming more popular. While some Computer Numerical Control engine process independently with a part catcher, a perpendicular granting center requires an extraneous individual to keep the engine processing. Collective and Mechanical robots be the main options for robotize perpendicular Computer Numerical Control grating machines. This study aims to specifically investigate and find the most effective type of robot to be used as a machine capable of maintaining the Haas VF-2 perpendicular crushing center. The method used in this study is the Overal Equipment Effectiveness (OEE) model approach with five different actions, starting with scope, unit setting, evaluation, fee calculation, and integration of the evaluation to present the value of each cell. The purpose of the model used in this study is to determine which robot is more effective for use in industry. As the result, this study demonstrates the important difference between the robot cells on the site and the overall effectiveness of the equipment, besides that the fee differences in the production of robot cells are not too large, but if the focus is on adding robots then the fee differences must be considered carefully. The hazard assessment proved surprising. This study shows that the risk factors in VF-2 treatment using cooperative robots and mechanical robots can be ignored. The impact of takt time also has an important role. Taking each factor into account for the production machining of the VF-2 mechanical robot is more conducive to use because its performance level is almost two times better and in terms of use, it is also much safer. For future work, maintaining a continual level of danger estimate during working on various parts is a very important thing to pay attention to. In addition, when the geometry and materials of machine parts are developed, the collective allocation is no longer valid, so danger estimates must be carried out more carefully to ensure operator safety.