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All Journal Jurnal Simetris E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Elkom: Jurnal Elektronika dan Komputer JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Informatika Upgris CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro Joined Journal (Journal of Informatics Education Scientific Journal of Informatics Jurnal Teknologi Informasi dan Komunikasi Journal of Engineering, Electrical and Informatics (JEEI) Jurnal Pengabdian Pada Masyarakat Indonesia (JPPMI) INFORMATIKA Jurnal Publikasi Ilmu Komputer dan Multimedia Hexagon Community: Jurnal Pengabdian Pada Masyarakat Journal of Technology Informatics and Engineering Seminar Nasional Teknologi dan Multidisiplin Ilmu Jurnal Ilmiah Sistem Informasi Router : Jurnal Teknik Informatika dan Terapan LogicLink: Journal of Artificial Intelligence and Multimedia in Informatics Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Saturnus: Jurnal Teknologi dan Sistem Informasi Systematic Literature Review Journal Router : Jurnal Teknik Informatika dan Terapan Journal of Engineering, Electrical and Informatics Global Science: Journal of Information Technology and Computer Science

Dani Sasmoko

Universitas Sains Dan Teknologi Komputer

Author-ID : 2668055

Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Nursing Public Health Social Sciences Other

Published : 59 Documents Claim Missing Document

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Articles

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Systematic Literature Review on CNN and YOLO Algorithms for Detecting Plant Diseases in Precision Agriculture Dani Sasmoko; Eko Siswanto; Febryantahanuji Febryantahanuji
Systematic Literature Review Journal Vol. 1 No. 1 (2025): Januari: Systematic Literature Review Journal
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/slrj.v1i1.50

Computer vision-based algorithms, especially Convolutional Neural Networks (CNN) and You Only Look Once (YOLO), have become the leading approaches in plant disease detection. CNN excels in extracting complex visual features for disease classification, while YOLO provides high-efficiency real-time object detection capabilities. Both algorithms have shown promising results in various studies, especially with controlled datasets. However, challenges remain in their application in real-world conditions, such as environmental diversity, overlapping symptoms, and poorly annotated data. Future research has the potential to optimize these algorithms through the development of lighter models, the use of transfer learning techniques, and multi-modal data integration. In addition, further exploration of a wider range of diseases, crops, and environmental conditions can expand the application of these algorithms. By leveraging these innovations, computer vision-based plant disease management can be improved to support sustainable precision agriculture.

Sistem Pendukung Keputusan Penentuan Pembelian Laptop Kualitas Terbaik Di Guava Komputer Dengan Metode AHP Berbasis Web Laksono, Bagas Aji; Dani Sasmoko; Candra Supriadi; sasmoko, dani
Jurnal Ilmiah Sistem Informasi Vol. 3 No. 3 (2024): November : Jurnal Ilmiah Sistem Informasi
Publisher : LPPM Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/avceqq43

Guava Komputer adalah toko yang menyediakan berbagai produk komputer dan laptop, termasuk laptop, desktop, aksesori, perangkat keras, dan perangkat lunak dari merek-merek terkemuka. Namun, dalam proses bisnisnya, toko ini menghadapi masalah dimana pelanggan sering kesulitan memilih laptop yang sesuai dengan kebutuhan mereka, akibat banyaknya tawaran yang diberikan oleh pegawai toko. Selain itu, pegawai juga merasa kesulitan saat melayani banyak pengunjung. Untuk mengatasi masalah ini, diterapkan sistem pendukung keputusan berbasis web menggunakan metode Analytical Hierarchy Process (AHP), yang dikembangkan dengan bahasa pemrograman PHP dan basis data MySQL. Metode AHP membantu dalam menentukan urutan alternatif dan memilih alternatif terbaik berdasarkan kriteria yang ditetapkan. Hasil penelitian ini menunjukkan bahwa sistem ini efektif membantu pelanggan menemukan laptop yang sesuai dengan kebutuhan mereka, dengan nilai tertinggi yang disarankan. Sistem ini diuji dengan skor validitas 4,63 (sangat baik) dan efektivitas 90% (sangat efektif), serta telah berhasil diuji oleh penguji internal dan eksternal, menunjukkan bahwa sistem ini bekerja sesuai harapan dan memberikan informasi yang valid dan efektif.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/avceqq43

Iot-Based Cattle Pen Security System Prototype with Wemos Sasmoko, Dani; Veliyanti, Reni; Ra’ifa, Muhammad Naufal
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol. 8 No. 2 (2024)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/crc.v8i2.23399

Cattle theft in cow barns frequently occurs in Central Java, Indonesia, highlighting the need for a monitoring system to prevent such thefts. The system developed uses Wemos integrated with a PIR sensor, employing Internet of Things (IoT) methods to detect human movement within the cow barn. A magnetic sensor will be installed on the barn door to provide remote monitoring. The monitoring system activates a buzzer and sends theft data to the cow barn owner from different locations. Testing of this monitoring system was successful, as evidenced by the PIR and magnetic sensors detecting breaches by triggering the buzzer. However, test results indicated that sending data to smartphones requires an internet connection within the barn. Compared to a CCTV system, this setup can deter theft by emitting a loud sound from the buzzer, but it lacks video and photo recording capabilities since it does not include a camera. Based on the design and testing results, it can be concluded that this cattle theft monitoring system has effectively detected suspicious movements in the barn

Rancang Bangun Sistem Keamanan Ruang Persandian Menggunakan RFID dan Sensor PIR Berbasis IOT Eni Muhadi; Sulartopo Sulartopo; Danang Danang; Dani Sasmoko; Nuris Dwi Setiawan
Router : Jurnal Teknik Informatika dan Terapan Vol. 2 No. 1 (2024): Maret : Router: Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Profesi Telekomunikasi dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v2i1.47

This Space Security System is a system that utilizes the existing Internet Network to monitor a room remotely or from a different location. With the aim of making it easier to limit employee access rights and monitor the presence of people in the room.So the author made a room security system tool using the Internet of Things (IOT) which was implemented at the Demak Regency Communication and Information Service. The way this system works is only employees who have access rights who can enter the room by attaching an RFID card to the RFID Reader sensor, and the way the PIR sensor works is to monitor human presence, when there is infrared or human emission it will send data to the web if it is in the room has people and the red LED lights up and the buzzer sounds, while the push button button is when the push button button is pressed the solenoid will open. By making this design, it will help improve room security at the Demak Regency Communication and Information Service, especially the Encryption Room

Desain dan Implementasi Smart Classroom Berbasis Sensor PIR dan DHT22 untuk Efisiensi Energi Reni Veliyanti; Dani Sasmoko; Fatahul Febry Dzuhur
Joined Journal (Journal of Informatics Education) Vol 8 No 1 (2025): Volume 8 Nomor 1 (2025)
Publisher : Universitas Ivet

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31331/joined.v8i1.3812

Permasalahan pemborosan energi listrik di lingkungan pendidikan, terutama akibat lampu dan kipas yang sering dibiarkan menyala saat ruangan kosong, menjadi latar belakang penelitian ini. Penelitian ini bertujuan merancang sistem otomatisasi lampu dan kipas angin berbasis Internet of Things (IoT) dengan memanfaatkan mikrokontroler ESP32, sensor PIR untuk mendeteksi keberadaan manusia, dan sensor DHT22 untuk mengukur suhu ruangan. Sistem ini terhubung dengan aplikasi Blynk guna memudahkan pemantauan dan pengendalian secara real-time. Penelitian dilakukan di SMKS Budi Luhur Guntur selama satu bulan dengan pendekatan eksperimen terapan. Hasil pengujian menunjukkan bahwa sistem berfungsi dengan baik, mampu memberikan respons cepat dan akurat terhadap perubahan kondisi di ruangan. Efisiensi energi meningkat signifikan, dengan penghematan estimatif sebesar 25–30% di satu ruang kelas. Jika diimplementasikan secara menyeluruh, sistem ini berpotensi mengurangi konsumsi listrik hingga lebih dari 66 kWh per bulan. Penelitian ini memberikan kontribusi nyata dalam penerapan teknologi IoT untuk efisiensi energi di sektor pendidikan.

Development Of A Web-Based Information System For Proposing Academic Functional Positions For Lecturer At Stekoms Semarang Ester Yuli Suprapti; Dani Sasmoko; Neilin Nikhlis
Journal of Engineering, Electrical and Informatics Vol. 3 No. 1 (2023): Februari : 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.v3i1.2863

Semarang College of Electronics and Computers (STEKOM) which is based on Jl. Majapahit 605, has several campuses in Semarang and outside Semarang. With such campus location conditions, it makes it difficult for lecturers and related parties to process applications for Academic Functional Positions (JAFA). Lecturers have to repeatedly go to the central campus to process JAFA proposals and lecturers cannot know directly the extent of the credit figures that have been generated. Other related parties such as the personnel department, the Credit Score Assessment Team (TPAK) and STEKOM leadership find it difficult to monitor lecturers' activities in carrying out their tridharma duties. The Web-Based Information System for Proposing Academic Functional Positions for Lecturers which was developed using the Research and Development (R&D) method produces an application that will solve the problems surrounding JAFA proposals at STEKOM and can answer STEKOM's need for a JAFA lecturer proposal information system without being limited by place and time. . In creating this system, the author used Macromedia Dreamweaver MX 2004 software as the design medium and PHP as the programming language used, as well as the MySql database as the storage medium.

Information System Inventory Of Office Writing Equipment At PT Lion Super Indo Majapahit Semarang Branch Herlina Dini Damayanti; Dani Sasmoko; Andik Prakasa Hadi
Journal of Engineering, Electrical and Informatics Vol. 3 No. 2 (2023): 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.v3i2.2866

A computerized system is the use of a computer as a tool in data processing activities that are carried out manually. Inventory is all kinds of company goods that are available to be processed in the production process or sold. PT LION SUPER INDO is a company operating in the trading sector. PT LION SUPER INDO has 151 branches, one of which is PT Lion Super Indo Majapahit branch. The problem that often arises is the management of office stationery, the availability of which is not maintained, because there are obstacles in the process of using office stationery activities which are recorded manually. This can result in excess, shortage, or running out of Office Stationery. The method used is through the process of observation and interviews, namely by observing the management of office stationery supplies and obtaining the data the author needs in implementing the system. Implementation takes the form of the final result achieved, namely the formation of an information system based on visual basic programming, because by using this system you will be able to process data quickly and accurately. From this research it can be concluded that with the design of an office stationery supply information system at PT LION SUPER INDO Majapahit Branch based on Visual Basic, it can provide accurate information services. If there is an order transaction, the office stationery data can also be added to the store warehouse data automatically. Likewise, if there is a usage transaction, it will automatically reduce the stock in the store's warehouse data, so that the office stationery data will match the physical goods. And makes it easier for leaders to make office stationery decisions in ordering in each period.

Explainable End-to-End Autonomous Driving Using Vision-Based Deep Learning in Safety-Critical Scenarios Sasmoko, Dani; Adi Supriyono, Lawrence; Wijanarko Adi Putra, Toni
Global Science: Journal of Information Technology and Computer Science Vol. 1 No. 4 (2025): December: Global Science: Journal of Information Technology and Computer Scienc
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/globalscience.v1i4.185

End-to-end autonomous driving has emerged as a promising paradigm in which deep neural networks directly map raw visual inputs to continuous control actions. Despite its effectiveness, this approach suffers from limited transparency, posing significant challenges for deployment in safety-critical driving scenarios. This study addresses the lack of interpretability in vision-based end-to-end autonomous driving systems and aims to analyze model decision-making behavior under critical conditions such as sharp steering maneuvers and abrupt control transitions. To this end, an explainable end-to-end autonomous driving framework is proposed, combining a convolutional neural network trained via imitation learning with gradient-based visual attribution techniques, including Grad-CAM. The model predicts continuous steering, throttle, and braking commands directly from front-facing camera images, while explainability mechanisms are applied to reveal input regions influencing each control decision. Model performance is evaluated using both prediction accuracy and safety-oriented behavioral metrics. Experimental results show that the proposed explainable model achieves lower control prediction errors compared to a baseline end-to-end CNN, reducing steering mean squared error from 0.034 to 0.031, throttle error from 0.021 to 0.019, and brake error from 0.018 to 0.016. Moreover, safety-oriented analysis indicates improved driving stability, with steering variance reduced from 0.087 to 0.072 and abrupt control changes decreased from 14.6 to 10.3 events. Visual explanations consistently highlight road surfaces and lane-related structures during complex maneuvers, indicating reliance on semantically meaningful cues. In conclusion, the results demonstrate that integrating explainability into end-to-end autonomous driving not only preserves predictive performance but also correlates with smoother and more stable driving behavior. This framework contributes to the development of transparent and trustworthy autonomous driving systems suitable for safety-critical applications

Co-Authors Agus Priyadi Ahmad Zainudin Aminuyati Andik Prakasa Hadi Andre maulana Andre maulana Ari Rahmadani Arie Atwa Magriyanti Arie Mahendra ARS Wicaksana Arsito Ari Kuncoro Candra Supriadi Danang Danang Danang, Danang Daniel Rudjiono Dewi Widyaningsih Doni Marhab Dzyo Bachtiar Eddy Sanjaya Eka Kiki Rachmawati Eko Siswanto Endang Swastuti Eni Muhadi Ester Yuli Suprapti Farhan Afif Ilmi Fatahul Febry Dzuhur Febryantahanuji Febryantahanuji Feriyanto Feriyanto Hartadi, Lingga Haryo Kusumo Hendra Cahya Ardhy Syahputra Hendri Rasminto Herlina Dini Damayanti Iman Saufik Suasana Indra Irawan Wahyudi Jarot Dian Susatyono Kasih Purwantini Kusumajaya, Robby Andika Laily Eka Andrianni Laksono, Bagas Aji Lawrence Adi Supriyono Mahendra, Arie Marhab, Doni Mateus Bimahatma Migunani Migunani Muhammad Ainun Najib Muhammad Sidik Neilin Nikhlis Nur Afifah Nuris Dwi Setiawan Priyadi Priyadi Ra’ifa, Muhammad Naufal Reni Veliyanti Reni Veliyanti Reni Veliyanti Rizki Hadi Rozi Azwar Pradana Rozi Azwar Pradana S. Anang Wijayanto sri wahyuning Sulartopo Sulartopo Sumaryanto Sumaryanto Sumaryanto, Sumaryanto Toni Wijanarko Adi Putra Yanuar Arief Wicaksono Zaenal Mustofa

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