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All Journal PROSIDING SEMINAR NASIONAL MEDIA ELEKTRIKA Traksi : Majalah Ilmiah Teknik Mesin Bulletin of Electrical Engineering and Informatics Jurnal Karya Pendidikan Matematika JITEK (Jurnal Ilmiah Teknosains) Media Keperawatan Indonesia To Maega: Jurnal Pengabdian Masyarakat Jambura Journal of Electrical and Electronics Engineering Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Jurnal Abdi Insani Journal of Intelligent Computing and Health Informatics (JICHI) Jurnal Penelitian Inovatif Jurnal Hilirisasi Technology kepada Masyarakat (SITECHMAS) Jurnal Pengabdian Masyarakat Waradin Jurnal Sains dan Ilmu Terapan Journal of Data Insights Riwayat: Educational Journal of History and Humanities Prosiding Seminar Nasional Unimus Jurnal Teknik Informatika dan Teknologi Informasi
Achmad Solichan
Universitas Muhammadiyah Semarang
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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Enhanced Semarang batik classification using deep learning: a comparative study of CNN architectures Winarno, Edy; Solichan, Achmad; Putra Ramdani, Aditya; Hadikurniawati, Wiwien; Septiarini, Anindita; Hamdani, Hamdani
Bulletin of Electrical Engineering and Informatics Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i5.9347

Abstract

Batik is an important part of Indonesia’s cultural heritage, with each region producing unique designs. In Central Java, Semarang is known for its distinctive batik patterns that reflect rich local traditions. However, many people are still unfamiliar with these designs, which threatens their preservation. This study develops an automated system to classify Semarang batik patterns, showing how technology can help safeguard cultural heritage. A convolutional neural network (CNN) approach was used to recognize ten batik types, including Asem Arang, Asem Sinom, Asem Warak, Blekok, Blekok Warak, Gambang Semarangan, and Kembang Sepatu. Pre-processing steps—such as image resizing, cropping, flipping, and rotation—improved model performance and reduced complexity. Five CNN architectures (MobileNetV2, ResNet-50, DenseNet-121, VGG-16, and EfficientNetB4) were tested using 224×224 input size, Adam optimizer, ReLU activation, and categorical cross-entropy loss. Results show VGG-16, ResNet-50, and DenseNet-121 achieved perfect accuracy (1.0) on a dataset of 3,000 locally collected images. These findings highlight CNN models’ strong potential for batik pattern recognition, supporting digital preservation of Indonesian culture.
Media Pembelajaran Interaktif untuk Mengoptimalkan Pembelajaran Sanggar Belajar di Malaysia Solichan, Achmad; Sari, Nova Christina; Marutho, Dhendra; Ramdani, Aditya Putra; Al Amin, Muhammad Zainudin; Ansor, Basirudin; Puterizahra, Arviza
Jurnal Hilirisasi Technology kepada Masyarakat (SITECHMAS) Vol. 6 No. 2 (2025): Vol. 6 No. 2 Oktober 2025
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/sitechmas.v6i2.6131

Abstract

Dalam era digital yang terus berkembang, penggunaan teknologi dalam pendidikan telah menjadi semakin penting. Salah satunya di negara Malaysia, banyak sanggar belajar berusaha untuk mengintegrasikan teknologi dalam metode pengajaran mereka untuk meningkatkan efektivitas pembelajaran. Salah satu inovasi yang menjanjikan adalah penggunaan media pembelajaran interaktif melalui aplikasi permainan. Media pembelajaran interaktif menawarkan berbagai keunggulan dalam proses belajar-mengajar. Metode ini mampu menarik minat siswa melalui elemen interaktif dan gamifikasi, yang dapat membuat proses belajar menjadi lebih menyenangkan dan memotivasi dapat lebih cenderung untuk terlibat aktif dalam pembelajaran dan dapat meningkatkan retensi informasi. Aplikasi permainan sebagai media pembelajaran juga memberikan kesempatan untuk pembelajaran yang lebih personalisasi. Siswa dapat belajar sesuai dengan kecepatan mereka sendiri dan mendapatkan umpan balik langsung, yang membantu mereka memahami konsep dengan lebih baik. Pengabdian masyarakat di sanggar belajar Malaysia berlangsung dengan sangat baik. Motivasi guru dan siswa dalam proses pembelajaran interaktif, meningkat. Peningkatan hasil dari pembelajaran interaktif dapat dilihat pada survei hasil kepuasan peserta terhadap metode pembelajaran ini. Survei kepuasaan menghasilkan nilai 19% puas, dan 81% sangat puas, terhadapa kegiatan ini.
Deteksi Kerentanan SQL Injection pada Website Menggunakan Vulnerability Assessment Nova Christina Sari; Achmad Solichan; Basirudin Ansor; Aditya Putra Ramdani; Muhammad Zainudin Al Amin; Mulil Khaira; Auliya Rohman Riquelme Al Ubaidah
Journal of Data Insights Vol 2 No 1 (2024): Journal of Data Insights
Publisher : Department of Sains Data UNIMUS Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jodi.v2i1.393

Abstract

Website merupakan sumber informasi yang terus berkembang mengikuti perkembangan teknologi dimasa sekarang, dan penggunaan website telah banyak diterapkan di berbagai bidang. Penggunaan cyber security berkembang sangat pesan mengikuti perkembangan teknologi dan penelitian-penelitian dalam tema cyber security semakin banyak. Metode vulnerability asesement dalam penelitian ini digunakan untuk melakukan scanning terhadap suatu website untuk mendeteksi kerentananan website tersebut terhadap SQL Injection. SQL Injection. SQL Injection merupakan salah satu teknik peretasan dengan cara menyalahgunakan celah keamanan yang ada di lapisan SQL berbasis data pada suatu aplikasi atau website. Vulnerability scanner menggunakan Zap, memberikan hasil 22 alert, 3 diantaranya memiliki kerentanan yang tinggi (high risk). Hasil dari kerentanan website memiliki SQL Injenction yang tinggi. Terdapat 5 dari 10 ancaman yang terdapat pada OWASP Top 10
Design and Build a Water Pump Control System Using a Monitoring System Based on Telegram Communication Muntasiroh, Laily; Solichan, Achmad; Ikhwanuddin, Muhammad
Jambura Journal of Electrical and Electronics Engineering Vol 6, No 2 (2024): Juli - Desember 2024
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v6i2.24604

Abstract

creatures which is very important in a everyday, therefore ensuring that there is always water available in the reservoir is very important. However, in the process of controlling and monitoring water in the reservoir there are several problems, for example the location of the reservoir is on the top floor of the building and access is too difficult for monitoring the water reservoir. By designing a water pump control system with NodeMCU ESP 8266 using a Telegram communication-based monitoring system, system design using research and development methods can provide solutions and resolve existing problems. Via Smartphone, computer or laptop you can control water pumps and monitor water levels based on Telegram communication anytime and anywhere with Internet of Things (IoT) technology. Using an ultrasonic sensor type HC-SR04 to detect the water level in the reservoir, the process with the NodeMCU ESP 8266 board can be controlled and monitored using the Telegram massager application. The design has been carried out to test the function of every aspect of the components used, such as manual control, automatic systems, results read by ultrasonic sensors, Telegram communications and Telegram notifications that can run and optimally.   
Optocoupler Sensor Optimization for an Arduino Nano–Based Ocean Current Velocity Measurement System Masud Baihaqi, Ahmad Syah; Solichan, Achmad; Muntasiroh, Laily
Jambura Journal of Electrical and Electronics Engineering Vol 8, No 1 (2026): Januari - Juni 2026
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v8i1.32897

Abstract

This study aims to optimize the use of an optocoupler sensor in an Arduino Nano–based ocean current velocity measurement device that is simple, cost-effective, and sufficiently accurate. The measurement system employs a propeller mechanism driven by ocean currents, where the optocoupler sensor detects rotational pulses and the Arduino Nano processes the data to calculate current velocity. The research methodology includes hardware design, software development, and performance evaluation. A comparative testing method was conducted by comparing the measurement results of the developed device with those obtained from a standard ocean current measurement instrument as a reference. Initial test results indicated measurement deviations with an average error of 13.54%, influenced by technical factors such as sensor orientation relative to flow direction, water depth, current turbulence, and data acquisition delay.
Kalibrasi Sensor TDS Menggunakan Metode Regresi Linear untuk Sistem Kontrol Nutrisi Hidroponik Berbasis IoT Dava Abi Wardhana; Achmad Solichan; Aris Kiswanto
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 5 No. 1 (2025): April: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v5i1.6094

Abstract

Modern agriculture faces increasingly complex challenges that demand innovative technological solutions to improve efficiency, precision, and sustainability. The Internet of Things (IoT) offers significant potential for agricultural automation, particularly in hydroponic cultivation systems. This study presents the design and development of an IoT-based automatic nutrient control and monitoring system for vertical hydroponics. The system utilizes an ESP32 microcontroller to regulate the distribution of nutrient solutions enriched with essential macro- and micronutrients. Nutrient concentration is measured as Total Dissolved Solids (TDS) and monitored in real time through the Blynk mobile application. Users can operate the system in either automatic or manual mode. Experimental results show that the developed prototype achieves high accuracy in TDS measurement, with an average accuracy of 97.38%, and effectively maintains nutrient concentration within the desired range. The proposed system demonstrates reliable control performance and contributes to enhancing nutrient delivery precision, productivity, and land-use efficiency in modern smart farming practices.
Co-Authors - Purnomo - Subronto Aditya Putra Ramdani Al Amin, Muhammad Zainudin Anindita Septiarini, Anindita Apondala Apondala Arief Hendra Saptadi Arief Hendra Saptadi Aris Kiswanto Auliya Rohman Riquelme Al Ubaidah Basirudin Ansor Dava Abi Wardhana Devina Puspa Wulandari DEWI RAHMAWATI Dhendra Marutho Diaz Aditya Dina Mariani Dini Cahyandari Dwi Sulistyaningsih Edy Winarno Fadli, Rifqi Nur Fahri Fahri Febyliana, Eva Fitri Nuroini Fitri Nuroini Hamdani Hamdani Hanif Caesar Rachmad Hanityo Adi Nugroho Heri Suryo Hernanda Afrizal Lisna Gifhari Ikhwanuddin, Muhammad Ilham Yustar Afif Indri Astuti Purwanti Karima Elsami Khoeri - Kilala Mahadewi Luqman Assaffat M. Toni Prasetyo Mahadewi, Kilala Masud Baihaqi, Ahmad Syah Moh. Sabiqul Faiz Muchamad Faris Chakim Mulil Khaira Muntasiroh, Laily Musoffiyah, Nurul Luayli Naimatul Husna Ni Putu Pramanasari Nova Christina Sari Purnomo . Puterizahra, Arviza Putra Ramdani, Aditya R. Ery Wibowo Agung Radiktyo Nindyo Sumarno Rohmalia Shoffi Salsabila Rohmatul Fitri Ummumah Rokhani Rokhani* Rudy Haryanto Saefudin, Slamet Samsudi Raharjo Shokhibul Kahfi Sri Rejeki SRI REJEKI Syarif Mahmud Venissa Dian Mawarsari Wiwien Hadikurniawati