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All Journal Indonesian Journal of Electronics and Instrumentation Systems GEMA TEKNOLOGI BERKALA FISIKA SAINS DAN MATEMATIKA JURNAL SISTEM INFORMASI BISNIS Jurnal Ilmu Lingkungan YOUNGSTER PHYSICS JOURNAL Jurnal Sistem Komputer Program Kreativitas Mahasiswa - Karsa Cipta Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research Jurnal Penelitian Pendidikan IPA (JPPIPA) INDONESIAN JOURNAL OF APPLIED PHYSICS Journal of Physics and Its Applications Indonesian Journal of Electrical Engineering and Computer Science Jurnal Teknik Informatika (JUTIF) Jurnal Pengabdian Vokasi Scientific Journal of Informatics
Jatmiko Endro Suseno
Department Of Physics, Faculty Of Science And Mathematics, Diponegoro University, Semarang
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Physics Other

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Smart Fish Feeder Dengan Medeteksi Jumlah Getaran Permukaan Air Kolam Berdasarkan Tingkat Kelaparan Ikan Jatmiko Endro Suseno; Agus Setyawan; Thessa Putri Aulia
Jurnal Penelitian Pendidikan IPA Vol 11 No 3 (2025): March
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i3.10342

Abstract

Suboptimal fish feeding management can affect the growth rate of fish. Fish   Feeding management consists of aspects of feed nutritional content, quantity, and feeding system. A system that still relies on humans or manual labor is very likely to cause human error in the process, so utilizing technology can be an option to improve the feeding system. This study aims to design and test the Smart Fish Feeder Design as an innovation in technology-based freshwater fish feeding. The fish Feeder works by providing fish feeding scheduling using the RTC DS3231 and detecting vibrations in pond water, which aims to determine the feeding process using the SW-420 Vibration Sensor. If a certain vibration is used as a parameter that the fish are still consuming feed, then the feeding process continues. The duration of the influence of sensor readings in adding feed lasts for one minute and can be adjusted according to pond conditions or the number of research subjects. The results show that the design can provide fish feed on a scheduled basis with high accuracy and can detect water vibrations as an indicator of feed consumption by fish.
Optimization of Mineral Fuel Export Forecasting Using Attention-based Long Short-Term Memory Ananda Prasetya; Jatmiko Endro Suseno; Sutikno
Scientific Journal of Informatics Vol. 13 No. 1: February 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v13i1.38381

Abstract

Purpose: This study aims to optimize the forecasting of the Net Value of Indonesia's mineral fuel exports using the Attention-based Long Short-Term Memory (LSTM) model, supported by Dropout and Recurrent Dropout techniques that are combined to produce an optimal model. Methods: Modeling uses an LSTM architecture equipped with an Attention mechanism, as well as Dropout and Recurrent Dropout. The research procedure uses the CRISP-DM (Cross-Industry Standard Process for Data Mining) methodology. The research material used is the Indonesian mineral fuel export dataset with HS code 27 from 2014 to 2025. Model was built using the Random Search method to optimize hyperparameters such as the number of neurons (units), activation functions (Tanh, ReLu), and optimizers (Adam, Nadam, RMSprop). Result: The Attention-based LSTM model with Dropout and Recurrent Dropout techniques achieved a MAPE of 7.76%, which was better than the other models tested. Attention analysis shows that lag 12 has the greatest dominance, while lags 11 to 10 also contribute significantly, indicating an annual seasonal pattern. Projections for the next 12 months show a moderate decline in Net Value, in line with seasonal trends and historical data. Novelty: The main contribution of this research is the optimization of an Attention-based LSTM model using a combination of Dropout and Recurrent Dropout techniques, which is effective in forecasting Indonesia's mineral fuel export values because it is able to capture annual seasonal patterns, thereby improving the accuracy and stability of the forecast results.
Benchmarking Lightweight Machine Learning for Disaster Prediction: Accuracy, Latency, and Readiness Muhammad Amanulloh Mz; Oky Dwi Nurhayati; Jatmiko Endro Suseno
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 4 (2026): August 2026 (in progress)
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i4.7570

Abstract

Natural disaster early warning systems are often constrained by high computational latency, which impedes the timely dissemination of critical information. This study proposes a disaster impact prediction framework designed to optimize inference speed through a lightweight machine learning approach. Utilizing a comprehensive historical dataset from the Indonesian National Board for Disaster Management (BNPB) comprising 28,773 disaster records across 34 provinces from January 2018 to May 2024, this research evaluates the performance of XGBoost and LightGBM against a Gated Recurrent Unit (GRU) model for predicting infrastructure damage. SMOTE was applied exclusively during the training phase to address class imbalance without affecting inference speed. The results demonstrate that tree-based models significantly outperform GRU in both accuracy and speed. XGBoost achieved the lowest Mean Absolute Error (MAE of 1.1649) and the fastest inference latency (0.0026 ms per sample), followed by LightGBM (MAE of 1.4006, latency of 0.0064 ms), while GRU yielded a substantially higher error (MAE of 1.4189) and latency (0.2493 ms). Statistical validation via the Wilcoxon signed-rank test confirmed the significance of these performance differences (p < 0.001). Beyond technical benchmarking, these findings support the development of Intelligent Decision Support Systems for disaster mitigation, where organizational readiness and technology acceptance are critical for successful adoption. This study discusses practical implications for deploying lightweight models on resource-constrained edge computing devices such as Raspberry Pi 4, demonstrating sub-millisecond response speed, horizontal scalability, and affordability under $100 per node.
Integrated Maturity Assessment of Information Security for Land and Building Tax Management System Using National Institute of Standards and Technology Cybersecurity Framework 2.0, International Organization for Standardization/International Electrotechnical Commission 27002:2022, and Cybersecurity Capability Maturity Model 2.1. Paramesvari, Dhenok Prastyaningtyas; Suseno, Jatmiko Endro; Widodo, Catur Edi
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 2 (2026): JUTIF Volume 7, Number 2, April 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.2.5551

Abstract

Regional tax information systems such as the Sistem Informasi Manajemen Objek Pajak (SISMIOP) are vulnerable to cybersecurity threats due to the sensitivity of taxpayer data and the persistence of ad-hoc security management practices. These conditions pose risks to data confidentiality, integrity, and service availability, potentially undermining public trust and the effectiveness of local government services. This study aims to assess the information security maturity of SISMIOP operated by the Badan Pengelolaan Pendapatan, Keuangan, dan Aset Daerah (BPPKAD) through an integrated application of the NIST Cybersecurity Framework (CSF) 2.0, ISO/IEC 27002:2022, and the Cybersecurity Capability Maturity Model (C2M2) 2.1. A qualitative case study approach was employed. An organizational profile was developed using interviews, observations, and document analysis, followed by mapping 38 relevant NIST CSF subcategories to ISO/IEC 27002 controls and C2M2 capability domains. Security maturity was evaluated using questionnaires and interviews based on the C2M2 Maturity Indicator Levels (MIL0-MIL3), and a gap analysis was conducted against the target maturity level of MIL2. The results show that most cybersecurity functions, Govern, Identify, Detect, Respond, and Recover, remain at MIL1, indicating that practices are performed but not yet formalized or consistently implemented. The Protect function partially achieved MIL2. The largest gaps were identified in governance and risk management domains. Based on these findings, 38 prioritized strategic recommendations were formulated to improve policy formalization, risk management, technical controls, monitoring, and incident handling. This study contributes a practical and replicable multi-framework maturity assessment model to strengthen information security governance in public-sector tax information systems.
Rancang Bangun Sistem Ultrasound Assisted Extraction (UAE) dengan Otomasi Pengaturan Suhu dan Volume Pelarut Humairoh Ratu Ayu; Suryono Suryono; Jatmiko Endro Suseno
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 10, No 01 (2020): April
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (387.954 KB) | DOI: 10.13057/ijap.v10i01.35032

Abstract

Pada penelitian ini telah dilakukan rancang bangun sistem pengaturan suhu dan volume pelarut pada ultrasound assisted extraction. Sistem ini terdiri dari pompa, mikrokontroler, termocouple, termocontroller dan sensor suhu LM35 yang bertujuan untuk menghindari pengenceran ekstrak dan meningkatkan transfer massa sehingga mendapatkan hasil ekstraksi yang lebih baik. Pompa menyala sesuai dengan perintah yang diberikan ke mikrokontroler selanjutnya dilakukan pembacaan nilai ADC oleh sensor suhu LM35 yang kemudian dikonversi ke dalam nilai temperatur. Berdasarkan hasil penelitian yang telah dilakukan, sistem mampu mengontrol volume pelarut dengan nilai error sebesar 2,38%, memantau suhu dalam wadah ekstraksi menggunakan sensor suhu LM35 dengan nilai error sebesar 0,70% dan mengontrol suhu menggunakan termokontroler dengan kestabilan sistem sebesar 96,16%.
Co-Authors Achmad Supriyadi, Achmad Agus Setyawan Agus Subagio Agus Sulistiyo Agus Syafrudin Ainie Khuriati Ali Khumaeni Anak Agung Istri Sri Wiadnyani Ananda Prasetya Andri Wibowo Ari Bawono Putranto Arlien Siswanti Asep Yoyo Wardaya Binu Soesanto, Qidir Maulana Catur Edi Widodo Dian Anggraini Djalal Er Riyanto Evi Setiawati Fatkhur Rohman Figur Humani Fitria L Giga Verian Pratama Glar Donia Deni Habib Sabil Rosyidi Hadi, Muhammad Rafli Irsyad Heri Sugito Hudzaifah Hazazi Zia Kusuma Humairoh Ratu Ayu I Gusti Ngurah Antaryama I Nyoman Sujana Ibnu Arimono Inayatul Inayah Irwan Agus Saputro Isnaeni Isnaeni Isnain Gunadi Isnain Gunadi K. Sofjan Firdausi Karyadi, Kukuh Kasto Wijoyo Teguh Guntoro Kusworo Adi Megarini Hersaputri Moch. Abdul Mukid Much. Azam Muchammad Azam, Muchammad Muhammad Amanulloh Mz Muhammad Hidayat Muhammad Nur Muhammad Nur Mustafid Mustafid Nurhady Mustofa Oky Dwi Nurhayati Pandji Triadyaksa Paramesvari, Dhenok Prastyaningtyas Prabowo, Muhammad Nur Priyono Priyono Putra, Hisbicus Dwi Surya Putra, Satrio Sandi Putri, Yurixa Sakhinatul R Rizal Isnanto Ratna Dewi Winesthi Ratu Bilqis Redemtus Heru Tjahjana Reza Lutfi Ismai Rin Hafsahtul Asiah Rinaldo Turang, Rinaldo Ririn Sulpiani S. Suryono Sari, W.T. Satriyo Adhy Sela Ade Otaviana Sudarno Sudarno Sumariyah Sumariyah Suryono Suryono Susilo Hadi Susilo Hadi, Susilo Sutikno Thessa Putri Aulia Tomy Kusbramanto Udi Harmoko Widiasmoro, Andi Wiktasari Sari, Wiktasari Windarta, Jaka Yundari, Yundari Yusup Hidayat Yuyu Wahyudin Zaenal Arifin Zaenul Muhlisin Zakiyyah, A.Z.