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All Journal Bulletin of Electrical Engineering and Informatics JURNAL NASIONAL TEKNIK ELEKTRO JITK (Jurnal Ilmu Pengetahuan dan Komputer)
Zulhelmi .
Syiah Kuala University
Computer Science & IT Electrical & Electronics 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
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
Co-Authors ., Zulfikar Afdhal Afdhal Amri, Khairul Fakhrus Syakir Khairul Amri Melinda Melinda Muhammad Irhamsyah Rizka Miftahujjannah Teuku Yuliar Arif Yunidar Yunidar Zulfikar . Zulfikar Zulfikar