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All Journal Bulletin of Electrical Engineering and Informatics JURNAL NASIONAL TEKNIK ELEKTRO JITK (Jurnal Ilmu Pengetahuan dan Komputer) Sriwijaya Electrical and Computer Engineering (Selco) Journal Jurnal Komputer, Informasi Teknologi, dan Elektro (KITEKTRO)
Zulhelmi .
Department Of Electrical Engineering And Computer, Engineering Faculty, Universitas Syiah Kuala
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Desain Sistem Kontrol Penyalaan Lampu dan Perangkat Elektronik untuk Meniru Keberadaan Penghuni Rumah ., Zulfikar; ., Zulhelmi; Amri, Khairul
JURNAL NASIONAL TEKNIK ELEKTRO Vol 5, No 1: Maret 2016
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (366.877 KB) | DOI: 10.25077/jnte.v5n1.182.2016

Abstract

This paper proposes a system for controlling bulbs and electrical appliances in order to imitate the availability of owner in a house. The designed system is able to switch ON and OFF the equipments randomly for treating the availability the owners in their houses. The system generates a number randomly every 15 minutes. Each number associated with bulb or electrical device in the controlling list. The electrical devices will be ON or OFF based on specific duration times. The system is realized using an Arduino board, an RTC, power supply unit, and interface circuit of Arduino and electrical devices. The designed system has been tested for 5 consecutive days normalized to 2 hour normal time on the control device and house miniature. The miniature is used to mimic condition the real house. Electric consumption estimated about 0.42 kWh per dayKeywords : Arduino, Random Numbers, Electrical Appliances, Control Systems, Housing SecurityAbstrak—Pada penelitian ini dirancang sebuah sistem kontrol penyalaan lampu dan perangkat elektronik untuk meniru keberadaan penghuni rumah. Sistem dirancang untuk mengontrol penyalaan beberapa lampu dan perangkat elektronik secara acak. Hal tersebut bertujuan untuk menimbulkan kesan bahwa rumah yang ditinggalkan seakan-akan ada penhuninya. Sistem keamanan ini bekerja dengan cara membangkitkan sebuah bilangan acak setiap 15 menit. Setiap bilangan acak yang dibangkitkan mengacu kepada peralatan listrik yang dikontrol. Peralatan listrik rumah yang telah nyala akan padam ketika lamanya waktu yang ditetapkan tercapai. Sistem ini dirancang terdiri dari Arduino, catu daya, RTC dan interface perantara dengan perlatan listrik. Sistem telah diuji selama 5 hari waktu normalisasi terhadap sistem kontrolnya dan sistem miniatur rumah. Miniatur rumah dibuat untuk mewakili kondisi rumah yang sebenarnya. Konsumsi daya listrik perhari dari sistem yang dibuat adalah 0,42 kWh.Kata Kunci : Arduino, Bilangan Acak,  Peralatan Listrik, Sistem Kontrol, Keamanan Rumah
Image investigation using higher moment statistics and edge detection for recognizing abnormal skin Afdhal Afdhal; Zulfikar Zulfikar; Zulhelmi Zulhelmi; Teuku Yuliar Arif
Bulletin of Electrical Engineering and Informatics Vol 9, No 1: February 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (671.844 KB) | DOI: 10.11591/eei.v9i1.1287

Abstract

This paper discusses the recognition of skin abnormalities by investigating the images using high-level statistics and edge detection. Six images of skin diseases were analyzed using several statistical parameters, including high-level moments such as skewness and kurtosis. In comparison, some images from other categories such as animal, architecture, art, vehicle, food, people, and scenery have been analyzed as well. The results were compared to skin disease images. It is expected that the general pattern of statistical parameters can distinguish skin images against images from other categories. MatLab is used as a medium to calculate the values of statistical parameters. The mean and median of the skin disease image are much larger. Meanwhile, the standard deviation is the smallest compared to other categorical images. Almost all the analyzed images close to symmetry. Nearly all images category are distributed more leaning to the left, except for the images of the art category, which is slightly more leaning to the right. Moreover, the edge detection process has been done using the Sobel algorithm. The result, however, cannot clearly distinguish a skin's abnormality. This difficulty is because of the lack of accuracy in selection the intensity.
Desain Sistem Kontrol Penyalaan Lampu dan Perangkat Elektronik untuk Meniru Keberadaan Penghuni Rumah Zulfikar .; Zulhelmi .; Khairul Amri
JURNAL NASIONAL TEKNIK ELEKTRO Vol 5 No 1: Maret 2016
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (366.877 KB) | DOI: 10.25077/jnte.v5n1.182.2016

Abstract

This paper proposes a system for controlling bulbs and electrical appliances in order to imitate the availability of owner in a house. The designed system is able to switch ON and OFF the equipments randomly for treating the availability the owners in their houses. The system generates a number randomly every 15 minutes. Each number associated with bulb or electrical device in the controlling list. The electrical devices will be ON or OFF based on specific duration times. The system is realized using an Arduino board, an RTC, power supply unit, and interface circuit of Arduino and electrical devices. The designed system has been tested for 5 consecutive days normalized to 2 hour normal time on the control device and house miniature. The miniature is used to mimic condition the real house. Electric consumption estimated about 0.42 kWh per dayKeywords : Arduino, Random Numbers, Electrical Appliances, Control Systems, Housing SecurityAbstrak—Pada penelitian ini dirancang sebuah sistem kontrol penyalaan lampu dan perangkat elektronik untuk meniru keberadaan penghuni rumah. Sistem dirancang untuk mengontrol penyalaan beberapa lampu dan perangkat elektronik secara acak. Hal tersebut bertujuan untuk menimbulkan kesan bahwa rumah yang ditinggalkan seakan-akan ada penhuninya. Sistem keamanan ini bekerja dengan cara membangkitkan sebuah bilangan acak setiap 15 menit. Setiap bilangan acak yang dibangkitkan mengacu kepada peralatan listrik yang dikontrol. Peralatan listrik rumah yang telah nyala akan padam ketika lamanya waktu yang ditetapkan tercapai. Sistem ini dirancang terdiri dari Arduino, catu daya, RTC dan interface perantara dengan perlatan listrik. Sistem telah diuji selama 5 hari waktu normalisasi terhadap sistem kontrolnya dan sistem miniatur rumah. Miniatur rumah dibuat untuk mewakili kondisi rumah yang sebenarnya. Konsumsi daya listrik perhari dari sistem yang dibuat adalah 0,42 kWh.Kata Kunci : Arduino, Bilangan Acak,  Peralatan Listrik, Sistem Kontrol, Keamanan Rumah
Application of the Savitzky-Golay filter in multi-spectral signal processing Syahrial Syahrial; Melinda Melinda; Junidar Junidar; Safrizal Razali; Zulhelmi Zulhelmi
Sriwijaya Electrical and Computer Engineering Journal Vol. 1 No. 1 (2024): Sriwijaya Electrical and Computer Engineering Journal
Publisher : Control and Computational Intelligent System (CoCIS) Research Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62420/selco.v1i1.5

Abstract

Multi-spectral signals are the result of the interaction between electromagnetic energy and the test material, which is then displayed by the signal fluctuation pattern of the test material. Signal fluctuations are inaccuracies in the peak amplitude of a signal caused by noise in the data. This fluctuation pattern reflects the properties of the test material, especially in this case H2O. To overcome this problem, it is necessary to use the right filter to smooth the signal and reduce the noise in the data so that the fluctuation pattern obtained is clearer and more accurate. This research involves the segmentation of HF fluctuation patterns, followed by the application of a Savitzky-Golay filter for signal smoothing. Signal quality is assessed objectively by calculating the Signal to Noise Ratio (SNR) and Mean Square Error (MSE). The research results show that the Savitzky-Golay filter succeeded in reducing noise and producing clearer fluctuation patterns. The SNR value varies, with the largest value reaching 16.6146 dB, and the smallest value being 3.0171 dB. This research contributes to a new method, namely the Savitzky-Golay adaptive filter, to identify multi-spectral signal fluctuation patterns more effectively, thereby enabling more accurate identification of fluctuation patterns. Apart from that, this research also provides insight into the characteristics of H2O which can be identified through fluctuation patterns, especially in certain segments with high amplitude. This method has potential for applications in various fields, especially in precise multi-spectral signal analysis.
FORECASTING UPWELLING IN LAKE MANINJAU USING VECTOR AUTOREGRESSIVE, SUPPORT VECTOR MACHINE AND DASHBOARD VISUALIZATION Fakhrus Syakir; Muhammad Irhamsyah; Melinda Melinda; Yunidar Yunidar; Zulhelmi Zulhelmi; Rizka Miftahujjannah
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 2 (2025): JITK Issue November 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i2.6665

Abstract

Lake Maninjau experiences periodic upwelling events that disrupt water quality, harm fish stocks, and pose socioeconomic challenges to surrounding communities. This study aimed to enhance upwelling prediction accuracy by integrating Vector Autoregressive (VAR) time series modelling with Support Vector Machine (SVM) classification. A five-year dataset (2020–2024) of daily climate variables surface temperature, precipitation, and wind speed was collected from NASA. Data stationarity was confirmed using Box-Cox transformations and Augmented Dickey-Fuller tests, while Granger Causality analysis revealed bidirectional relationships among the variables. The optimal forecasting model, VAR(17), was selected based on the Akaike Information Criterion (AIC), ensuring residuals met white-noise criteria. K-means clustering then labelled potential upwelling days, and these labels were employed to train SVM classifiers. An interactive dashboard was developed using Python and Streamlit to facilitate real-time forecasts and classification outputs. The VAR(17) model produced highly accurate forecasts, reflected by minimal error metrics (e.g., RMSE < 0.60). SVM classification of potential upwelling events achieved strong performance, consistently attaining F1-scores above 0.95. By merging time series forecasts with event classification, the hybrid VAR–SVM framework outperformed single-method approaches in identifying and predicting upwelling episodes. This integrated modelling strategy effectively addresses the complexity of upwelling in Lake Maninjau, enabling timely decision-making for fisheries management and local tourism stakeholders. Future work may incorporate additional environmental indicators (e.g., dissolved oxygen, pH) and extend dashboard functionalities to bolster sustainable resource management and community resilience
Sistem Pemantauan Kualitas Air Sungai Secara Real Time Berbasis Internet of Things Fadlurrahman Al Hafizh Redi; Roslidar Roslidar; Mohd Syaryadhi; Alfatirta Mufti; Alfisyahrin Alfisyahrin; Zulhelmi Zulhelmi
Jurnal Komputer Informasi Teknologi dan Elektro Vol. 11 No. 1 (2026): April
Publisher : Departemen Teknik Elektro dan Komputer Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/kitektro.v11i1.1653

Abstract

Pencemaran air sungai akibat aktivitas manusia berdampak negatif terhadap lingkungan dan kesehatan masyarakat. Pemantauan kualitas air secara manual dinilai kurang efektif karena tidak mampu menyediakan data secara cepat dan berkelanjutan. Penelitian ini bertujuan untuk merancang sistem pemantauan kualitas air sungai secara real-time berbasis Internet of Things (IoT). Sistem ini dikembangkan menggunakan NodeMCU ESP8266 yang terintegrasi dengan sensor pH, dissolved oxygen (DO), kekeruhan, suhu, dan debit aliran. Data sensor diambil setiap 30 menit dan ditampilkan melalui aplikasi seluler. Hasil pengujian menunjukkan bahwa sistem mampu melakukan pemantauan secara otomatis serta mengklasifikasikan kondisi air menjadi tiga kategori: clean (bersih), polluted (tercemar), dan offline. Selain itu, sistem ini dilengkapi dengan alarm sebagai mekanisme peringatan dini. Dengan demikian, sistem yang dikembangkan dapat mendukung upaya pemantauan kualitas air secara efektif dan berkelanjutan.
Co-Authors ., Zulfikar Alfatirta Mufti Alfisyahrin Alfisyahrin Amri, Khairul Fadlurrahman Al Hafizh Redi Fakhrus Syakir Junidar Junidar Khairul Amri Melinda Melinda Melinda Melinda Mohd Syaryadhi Muhammad Irhamsyah Rizka Miftahujjannah Roslidar Roslidar Safrizal Razali Syahrial Syahrial Teuku Yuliar Arif Yunidar Yunidar Zulfikar . Zulfikar Zulfikar