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All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal INKOM Jurnal Simetris Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Jurnal Teknologi JURNAL ELEKTRO International Journal of Advances in Intelligent Informatics Majalah Ilmiah MOMENTUM ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JOIV : International Journal on Informatics Visualization Jurnal Elementer (Elektro dan Mesin Terapan) JMM (Jurnal Masyarakat Mandiri) KACANEGARA Jurnal Pengabdian pada Masyarakat Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) MIND (Multimedia Artificial Intelligent Networking Database) Journal JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Teknologi Informasi dan Multimedia JMECS (Journal of Measurements, Electronics, Communications, and Systems) Indonesian Journal of electronics, electromedical engineering, and medical informatics Journal of Applied Engineering and Technological Science (JAETS) Indonesian Journal of Electrical Engineering and Computer Science Aiti: Jurnal Teknologi Informasi Prosiding Konferensi Nasional PKM-CSR Jurnal Nasional Teknik Elektro dan Teknologi Informasi eProceedings of Engineering Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Advance Sustainable Science, Engineering and Technology (ASSET) INTECH - Informatika Dan Teknologi
Achmad Rizal
Universitas Telkom
Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Nursing Public Health Social Sciences Other

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Comparative Deep Learning Models for Indonesian Gold Price Forecasting Albi Pernata Jomantara Putra; Baginda Mi’raj Williamsyah; Achmad Rizal; Favian Dewanta; Anggunmeka Luhur Prasasti; Said Ziani
Advance Sustainable Science Engineering and Technology Vol. 8 No. 3 (2026): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i3.2608

Abstract

This study evaluates LSTM, CNN-LSTM, LSTM-GRU, and CNN-LSTM-GRU architectures for forecasting Indonesian gold prices using 1,269 daily observations (2022–2025). Models utilized Bayesian-optimized hyperparameters and were benchmarked against ARIMA-GARCH and Random Forest baselines across 30-day and 365-day horizons. Performance was assessed via MAE, RMSE, R², and MAPE, confirming deep learning’s superiority in capturing non-linear dynamics over classical methods. The LSTM-GRU achieved the best numerical results, with MAPEs of 1.21% (short-term) and 1.32% (long-term). However, qualitative evaluation revealed that the highest-scoring model produced unstable long-term predictions, indicating a critical trade-off between numerical accuracy and forecast realism. These findings suggest financial model selection must prioritize stability alongside statistical metrics. A key limitation is the exclusive use of univariate data, necessitating future multivariate validation with macroeconomic indicators. 
Lung Sounds Classification Based on Time Domain Features Achmad Rizal; Istiqomah Istiqomah
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 8 No. 2 (2022): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v8i2.24007

Abstract

Signal complexity in lung sounds is assumed to be able to differentiate and classify characteristic lung sound between normal and abnormal in most cases. Previous research has employed a variety of modification approaches to obtain lung sound features. In contrast to earlier research, time-domain features were used to extract features in lung sound classification. Electromyogram (EMG) signal analysis frequently employs this time-domain characteristic. Time-domain features are MAV, SSI, Var, RMS, LOG, WL, AAC, DASDV, and AFB. The benefit of this method is that it allows for direct feature extraction without the requirement for transformation. Several classifiers were used to examine five different types of lung sound data. The highest accuracy was 93.9 percent, obtained Using the decision tree with 9 types of time-domain features. The proposed method could extract features from lung sounds as an alternative.
PENERAPAN PANEL SURYA SEBAGAI MEDIA PEMBELAJARAN ENERGI TERBAHARUKAN DAN ENERGI LISTRIK TAMBAHAN DI SEKOLAH ALAM GAHARU Istiqomah Istiqomah; Arif Abdul Aziz; Achmad Rizal; Muhammad Fahriza Bahrudin; Soediponegoro Soediponegoro; Azriansyah Azriansyah; Naufal Widad Sundawa; Abdillah Nur Isnaini; Vincentius Adisurya Fransisco Antu
JMM (Jurnal Masyarakat Mandiri) Vol 8, No 2 (2024): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v8i2.21562

Abstract

Abstrak: Sekolah Alam mengedepankan alam sebagai aspek utama objek pembelajaran, sehingga kewajiban menjaga alam menjadi hal penting untuk diajarkan ke peserta didik. Salah satu upaya untuk menjaga alam adalah dengan menggunakan energi baru dan terbarukan sebagai alternatif energi bersih. Sehingga hal tersebut menjadi misi yang sedang digiatkan di Sekolah Alam Gaharu. Pada pelaksanaan kegiatan pengabdian masyarakat ini, tim berusaha memenuhi kebutuhan sekolah alam yaitu penerapan EBT berupa panel surya sebagai media pembelajaran dan energi listrik tambahan untuk kegiatan outdoor di sekolah alam tersebut. EBT yang diterapkan adalah panel surya yang kiranya mudah dirancang menyesuaikan kebutuhan Sekolah Alam Gaharu. Panel surya yang menghasilkan listrik DC diintegrasikan dengan sistem lain seperti Aki dan inventer DC ke AC agar catu daya bisa langsung digunakan perangkat elektronik di Sekolah Alam Gaharu. Diharapkan kegiatan masyarakat ini menjadi media pembelajaran EBT di Sekolah Alam Gaharu. Diakhir kegiatan akan ada survei kepada 15 guru di Sekolah Alam Gaharu untuk melihat keefektifan penerapan panel surya sebagai media pembelajaran di sekolah alam. Dari hasil survei yang dilakukan tersebut disimpulkan 100% kegiatan memenuhi kebutuhan dari Sekolah Alam Gaharu.Abstract: The Nature School prioritizes nature as the main aspect of learning objects, so the obligation to protect nature is an important thing to teach to students. One effort to protect nature is to use new and renewable energy as a clean energy alternative. So this has become a mission that is being carried out at the Gaharu Nature School. In carrying out this community service activity, the team tried to meet the needs of the natural school, namely the application of new renewable energy in the form of solar panels as a learning medium and additional electrical energy for outdoor activities at the natural school. The new renewable energy implemented is solar panels which can be easily designed to suit the needs of the Gaharu Nature School. Solar panels that produce DC electricity are integrated with other systems such as batteries and DC to AC inverters so that the power supply can be directly used by electronic devices at Alam Gaharu School. It is hoped that this community activity will become a medium for new renewable energy learning at Gaharu Nature School. At the end of the activity there will be a survey of 15 teachers at Gaharu Nature School to see the effectiveness of implementing solar panels as a learning medium in natural schools. From the results of the survey conducted, it was concluded that 100% of the activities met the needs of the Gaharu Nature School.
A three-dimensional STFT representation for EEG alcoholism classification using 3D convolutional networks Ayu Sekar Safitri; Achmad Rizal; Inung Wijayanto
International Journal of Advances in Intelligent Informatics Vol 12, No 3 (2026): August 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v12i3.2319

Abstract

Alcohol consumption can alter electrical activity in the brain, and these changes can be captured through electroencephalogram recordings. Automatically recognizing such patterns may help support early identification and reduce the reliance on subjective screening methods. In this work, a three-dimensional Short-Time Fourier Transform (3D STFT) representation is developed to encode temporal, spectral, and spatial characteristics contained in multichannel EEG data. Each electrode receives the STFT in order to produce a unique time-frequency map, which are then combined into a 3D tensor that preserves how the signal evolves across channels. Unlike 2D spectrogram, the 3D representation preserves spatial interactions across electrodes within the time-frequency domain. This multidimensional structure allows the model to interpret the EEG not as separate slices but as a unified volume. The 3D tensor is subsequently used as a 3D CNN's input for classifying EEG trials into alcoholic and non-alcoholic categories. Evaluation is performed using publicly available UCI Alcoholic EEG dataset. The proposed approach yields strong performance, producing accuracy, precision, and recall reaching 98.96%, 98.76%, and 99.17%, respectively, alongside an F1-score of 98.96 and AUC of 99.50%.. These results indicate that combining temporal, spectral, and spatial information within a single representation allows the network to extract deeper and more informative neural patterns compared to conventional 1D features or 2D spectrogram-based inputs. While STFT’s fixed window length limits its ability to represent rapid or highly irregular non-stationary changes, the overall results show that the 3D representation provides a comprehensive view of EEG dynamics and enables effective classification of alcoholic versus non-alcoholic subjects.
Co-Authors Abdillah Nur Isnaini Achmad Ibnu Abas Aditya, Muhammad Billy Agung Muliawan Agung Surya Wibowo Agustina Trifena Dame.S Albi Pernata Jomantara Putra Alfaruq, Akhmad Alfian Akbar Gozali Alvin Oktarianto Alvy Suhandi Nataprawira Amalia, Qoriina Dwi Andi Farmadi Andi Wahyu Adi Arryansyah Andjar Pudji Andro Harjanto Anggit Syorgaffi ANGGUNMEKA LUHUR PRASASTI Anita Miftahul Maghfiroh Arif Abdul Aziz Arifah Putri Caesaria Aurick Daffa Muhammad Ayu Sekar Safitri Ayu, Devina Dara Aziz, Burhanuddin Azriansyah Azriansyah Azriansyah Azriansyah Baginda Mi’raj Williamsyah Bambang Guruh Irianto Bambang Hidayat Bandiyah Sri Aprillia Bella Fatonah Nur Anisya Beu, Donny Setiawan Bhagas Nugroho Brahmantya Aji Pramudita Burhanuddin Aziz Chandra Purna Darmawan Chandraditya Aridela Deni Saepudin Deny Sugiarto Wiradikusuma Desri Kristina Silalahi Devi Anggraini Dien Rahmawati Djoko Kurnia Putra Dyah Ayu Pratiwi Eka Nuryanto Budi Susila Elfrida Ratnawati Ellia Nurazizah Endro Yulianto Enzel D. S. Situmorang Estananto Fadlillah Muharam Saeful Fajra Octrina Faqih Alam Fardan Fathul Fajar Fatma Indriani FAUZI FRAHMA TALININGSIH Favian Dewanta Fiky Y. Suratman Fively Darmadi Freyssenita Kanditami P Hanan, Hafizh Khoirul Hanung Adi Nugroho Hanung Tyas Saksono Hasbian Fauzi Perdana Hezron Eka Lattang Hilman Fauzi, Hilman I Nyoman Apraz Ramatryana Ig. Prasetya Dwi Wibawa Ilham Edwian Berliandhy Ilham Rabbani Des Chandra Aziz Inung Wijayanto Istiqomah Istiqomah Iswahyudi Hidayat Jafar Hifdzullisan Jatmiko Kuntoro Nugroho Jidan Sandika Hidayat Jondri Junartho Halomoan Khilda Afifah Koredianto Usman La Bamba Puang P T S Kami Lestari, Rahma Dania Aleem Liliek Soetjiatie Luthfiyah, Sari M. Ary Murti Mazaya 'Aqila Meidiana Ajeng Lestari Mohamad Ramdhani Mohamad Sofie Mohamad Sofie Mohamad Sofie, Mohamad MUHAMMAD ADNAN PRAMUDITO Muhammad Afif Ridwansyah Muhammad Al Makky Muhammad Ary Murti Muhammad Fahriza Bahrudin Muhammad Fahriza Bahrudin Muhammad Hablul Barri Muhammad Hasbi Ashshiddieqy MUHAMMAD JULIAN, MUHAMMAD Muhammad Nadim Mubaarok Muhammad Nashih Rabbani Muhammad Rafiqy Zulfahmi Muhammad Ridha Makruf Muhammad Satya Annas Muhammad Thariq Machaz Muhammad Yusuf Salman Muliadi Naufal Widad Sundawa Ni Wayan Ratna Juami Novi Prihatiningrum Nur Afifah Nuril Hidayanti Nurina Listya Hakim Nursanto Nursanto NURSANTO NURSANTO, NURSANTO Nurul Fathanah Muntasir Philip Tobianto Daely Purba Daru Kusuma Putri Famela Azhari R. Yunendah Nur Fu’adah Radian Sigit Raditiana Patmasari Ramdhan Nugraha Ratri Dwi Atmaja Reza Budiawan, Reza Rheza Faurizki Rahayu Risanuri Hidayat Rita Magdalena Rizkia Dwi Auliannisa Ruri Octari Dinata Said Ziani Sang Made Lanang Prasetya Sania Marcellina Bryan Saragih, Triando Hamonangan Sigit, Radian Soediponegoro Soediponegoro Soediponegoro Soediponegoro Sofia Naning Hertiana Sony Sumaryo Sugondo Hadiyoso Suryani Alifah Suryo Wibowo Syamsul Rizal Tedy Gumilang Sejati Triwiyanto Triwiyanto Unang Sunarya Vania Rei Syifa Vera Suryani Viko Adi Rahmawan Vincentius Adisurya Fransisco Antu Wahmisari Priharti Widiawan, Babel Willy Anugrah Cahyadi Wisudantyo Wahyu Priambodo, Wisudantyo Wahyu YULI SUN HARIYANI Ziani Said Ziani, Said