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All Journal SAMUDERA Jurnal Informatika dan Teknik Elektro Terapan e-Jurnal Arus Elektro Indonesia Sistemasi: Jurnal Sistem Informasi RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Information System for Educators and Professionals : Journal of Information System JOURNAL OF APPLIED INFORMATICS AND COMPUTING METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Journal on Education Jurnal Informatika Kaputama (JIK) JATI (Jurnal Mahasiswa Teknik Informatika) STEAM Engineering : Journal of Science, Technology, Education And Mechanical Engineering MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Medika Teknika : Jurnal Teknik Elektromedik Indonesia Jurnal Sistem Informasi dan Sains Teknologi Jurnal Pengabdian kepada Masyarakat Nusantara International Journal of Engineering, Science and Information Technology Jurnal Tika Malikussaleh Journal of Mechanical Science Technology Jurnal Abdi Masyarakat Indonesia Andalasian International Journal of Applied Science, Engineering, and Technology Jurnal Mandiri IT Jurnal Janitra Informatika dan Sistem Informasi Jurnal Minfo Polgan (JMP) Journal of Renewable Energy, Electrical, and Computer Engineering Journal Of Human And Education (JAHE) Jurnal Pendidikan dan Pembelajaran Jurnal Sains dan Teknologi Jurnal Energi Elektrik Jurnal Teknologi Terapan and Sains 4.0 Mafaza : Jurnal Pengabdian Masyarakat INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System International Review of Practical Innovation, Technology and Green Energy (IRPITAGE) Saree : Research in Gender Studies Innovative: Journal Of Social Science Research Jaliye: Jurnal Abdimas, Loyalitas, dan Edukasi Jurnal Malikussaleh Mengabdi Jurnal Polimesin PUSAKA: Jurnal Pengabdian Masyarakat Indonesian Journal of Technical and Vocational Education Training Jurnal Pendidikan Teknik Mesin Jurnal Informatika Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Jurnal Ilmu Komputer Aceh ITEJ (Information Technology Engineering Journals) Jurnal Pengabdian Masyarakat Teknologi Informasi (PERANTI)
Taufiq Taufiq
Universitas Malikussaleh
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Design of an Internet of Things (IoT)-Based Fish Feeder System Using an Android Application Ariyandi, Zulham; Taufiq, Taufiq; Nunsina, Nunsina
Journal of Applied Informatics and Computing Vol. 9 No. 4 (2025): August 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i4.10072

Abstract

Fish farming plays a crucial role in aquaculture, where feed management is a key factor affecting productivity and operational costs. This research presents the design and implementation of an Internet of Things (IoT)-based automatic fish feeder system, integrated with a custom Android application. The system uses an ESP32 microcontroller to control a load cell sensor for accurate feed weighing, an ultrasonic sensor to monitor feed availability, servo motors for feed release mechanisms, and a DC motor for feed dispersion. Firebase Realtime Database serves as the data communication medium between the hardware and mobile application, enabling real-time control and monitoring. A rule-based control logic is implemented to execute scheduled or manual feeding processes. Experimental results show a feed weight accuracy of ±5 grams, with feeding operations completed within 1.5 minutes and an average throw distance of 287.8 cm. The system supports automatic alerts, scheduling, feed history logging, and remote access via the application. Compared to conventional manual methods, the system reduces feed waste, increases portion accuracy, and decreases feeding time by over 75%. These features demonstrate the system’s capability to enhance feeding efficiency, reduce labor dependency, and support sustainable and scalable fish farming practices through automation and real-time monitoring.
Penerapan Model Program Belajar Bekerja Terpadu untuk Menciptakan Lapangan Kerja Nurdin, Nurdin; Taufiq, Taufiq; Maryana, Maryana; Fadlisyah, Fadlisyah
Jurnal Malikussaleh Mengabdi Vol. 4 No. 2 (2025): Jurnal Malikussaleh Mengabdi, Oktober 2025
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jmm.v4i02.24825

Abstract

Transformasi digital di era ekonomi modern menuntut integrasi yang lebih erat antara dunia pendidikan tinggi dan dunia usaha, khususnya UMKM sebagai tulang punggung perekonomian nasional. Di sisi lain, lulusan program studi sering menghadapi tantangan dalam memperoleh pengalaman kerja nyata dan peluang kerja yang sesuai kompetensi. Untuk menjawab tantangan tersebut, diperlukan suatu pendekatan kolaboratif yang mampu menjembatani kebutuhan dunia industri, terutama UMKM, dengan potensi dan kompetensi alumni perguruan tinggi. Program pengabdian ini bertujuan untuk menerapkan model Belajar Bekerja Terpadu (Work Integrated Learning) yang melibatkan alumni program studi Teknik Informatika dari desa lingkungan Universitas Malikussaleh dalam upaya menciptakan lapangan kerja sekaligus mendukung pengembangan Usaha Mikro, Kecil, dan Menengah (UMKM). Melalui kolaborasi ini, alumni tidak hanya memperoleh pengalaman kerja riil dan peningkatan kompetensi, tetapi juga berperan aktif dalam digitalisasi dan peningkatan produktivitas UMKM. Model ini dirancang untuk menjembatani kesenjangan antara dunia pendidikan dan kebutuhan industri kecil, dengan pendekatan yang berfokus pada pemecahan masalah riil di lapangan. Hasil yang diharapkan dari kegiatan ini meliputi peningkatan kemampuan kerja lulusan, terciptanya peluang usaha baru, serta transformasi digital pada UMKM mitra. Program ini sekaligus menjadi strategi konkret dalam memperkuat peran perguruan tinggi dalam pembangunan ekonomi berbasis masyarakat
Analisa Implementasi Sistem Absensi Sidik Jari Guru Min Peukan Baro Munar, Munar; Iqlima, Iqlima; Taufiq, Taufiq
Jurnal Tika Vol 8 No 1 (2023): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/tika.v8i1.1938

Abstract

The development of science in all fields in the current era of globalization is so rapid, especially in the field of Information Technology (IT) which is increasingly advancing along with user needs. Min Peukan Bada School is one of the many government agencies or schools that utilize information technology in their operational activities. One of the information technologies applied at Min Peukan Bada is attendance software using a fingerprint. The purpose of this study is to analyze the existing fingerprint system at MIN Peukan Bada which is already running. The method used in analyzing the system is how to find the standard error value and find the percentage of success from the fingerprint system that is already running. The results of the study are a desktop-based application that can be used to manage employee data and conduct training and testing of employee fingerprint images so that the final result is the percentage of success in employee fingerprint recognition at the MIN Peukan Baro school
Mapping of Flood and Landslide Prone Areas using Composite Mapping Analysis Method Based on Geographic Information System in East Aceh Maulita, Maya; Nurdin, Nurdin; Taufiq, Taufiq
Sistemasi: Jurnal Sistem Informasi Vol 13, No 6 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i6.4483

Abstract

Disaster is an event that causes great losses to the community. Disasters are destructive, very detrimental, and require a long time to recover. To overcome the impact of natural disasters on the community in East Aceh Regency, research is needed related to the mapping system for multi-disaster prone areas (floods and landslides) in East Aceh Regency. The application used for the mapping process is ArcGIS Desktop and the research methodology used for mapping is Composite Mapping Analysis which consists of the process of determining the class of each parameter, determining the weight of each parameter by combining each parameter. The method of combining them consists of a scoring process for each parameter, then overlaying the parameters used, calculating and producing relative weights or spatial means, and combining spatial means to produce a value from the weight of each parameter for floods and landslides. The results of the study showed that the percentage of area for the class very prone to flood disasters was 232,156.13 Ha (42.3%), the vulnerable class had an area of 228,634.01 Ha (41.7%), and the non-vulnerable class had an area of 87,687.40 Ha (16%). The percentage of area for the class that is very vulnerable to landslides is 49,998.13 Ha (9.5%), the vulnerable class has an area of 301,863.93 Ha (57.2%), and the non-vulnerable class has an area of 175,542.56 Ha (33.3%). The contribution of this research is to provide information on disaster-prone areas, causal factors, characteristics of vulnerability to natural disasters such as floods and landslides and provide a basis for more effective decision-making in disaster mitigation and management efforts. This approach offers a new contribution to the technology of mapping and classifying disaster-prone areas.
ANALISIS PENGARUH TINGKAT AKURASI KLASIFIKASI CITRA MEBEL MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK Alqhifari, Azka; Nurdin, Nurdin; Taufiq, Taufiq
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 2 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i2.6199

Abstract

Furniture is a household necessity that serves to complement a room. The design models of furniture are varied, ranging from general or mass-market designs to those made for specific needs. Sofas, tables, chairs, swivel chairs, TV cabinets, wardrobes, beds, and bookshelves are the items analyzed in this study. The fact that there are always more and better furniture models available is one of the reasons the researcher chose these furniture items. The goal of furniture object classification is to help categorize objects automatically, making it easier for users to quickly search for the furniture products they want, and the system can recommend items based on the classification results. This study uses 3 architectures with 3 testing scenarios. The architectures used are MobileNetV1, ResNet-50, and VGGNet-19. Scenario S1 uses image dimensions of 128x128 with 50 epochs, scenario S2 uses image dimensions of 128x128 with 100 epochs, and scenario S3 uses image dimensions of 128x128 + grayscale with 50 epochs. The accuracy results are differentiated according to the scenarios used, namely S1, S2, and S3. The detailed accuracy results are as follows: Scenario S1 using the MobileNetV1 architecture achieved an accuracy of 94.31%. The highest accuracy in scenario S2 was also achieved with the MobileNetV1 architecture at 94.31%. For the highest accuracy in scenario S3, MobileNetV1 achieved an accuracy of 72.61%. The fastest computation time for S1 was 871.97 seconds, for S2 it was 1763.04 seconds, and for S3 it was 436.32 seconds. Among the three architectures used, MobileNetV1 stands out as the best architecture in terms of accuracy and classification speed in this study
Implementation of the Double Exponential Smoothing Method in Predicting Palm Oil Harvest Yields Muhammad Raihan Rangkuti; Taufiq; Hafizh Al Kautsar Aidilof
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Double Exponential Smoothing (DES) is a forecasting method that combines two main components: level and trend. This method is used for data that shows a trend pattern, meaning data that tends to increase or decrease over time. This study aims to implement the Double Exponential Smoothing method to predict oil palm yields at PT. Amal Tani. The data used in this study consists of historical oil palm yield data from 2019 to 2023. The prediction system designed is web-based, utilizing PHP programming language and MySQL database. The performance evaluation of the prediction model is conducted using the Mean Absolute Percentage Error (MAPE) and Mean Absolute Error (MAE) metrics. The study demonstrates that the Double Exponential Smoothing method can produce accurate and effective predictions. The implementation of this system facilitates data processing and the dissemination of information related to oil palm yields. The results indicate that this prediction model can assist the management of PT. Amal Tani in making more accurate yield forecasts, thereby increasing productivity and operational efficiency. The implementation of this method is also expected to ease the company’s decision-making process regarding production planning and seed planting. This study concludes that the Double Exponential Smoothing method is an effective and accurate tool for predicting oil palm yields and provides positive contributions to data management and decision-making processes at PT. Amal Tani. This study offers insights into the application of the Double Exponential Smoothing method in forecasting oil palm yields.
HC-SR04 Sensor Implementation in an IoT-Based Fresh Fruit Bunch Filling Prototype for Vertical Sterilizer Selamat Meliala; Yogi Satya; Rosdiana Rosdiana; Muhammad Daud; Taufiq Taufiq
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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Abstract

This study develops an IoT-based Fresh Fruit Bunch (FFB) filling prototype for vertical sterilizers using the HC-SR04 ultrasonic sensor to enhance the accuracy and efficiency of the filling process in palm oil mills. The system incorporates a non-contact distance sensor to ensure precise measurement and integrates IoT technology and a Telegram bot for real-time monitoring and automation. Testing results indicated that the HC-SR04 sensor achieved high accuracy, maintaining a low tool failure rate of 0.036%, making it highly reliable for industrial applications. Visual and audio indicators, including LEDs and buzzers, were used to enhance user awareness and safety during the filling process. By automating and optimizing FFB loading, the system minimizes operational inefficiencies commonly associated with manual filling methods and improves safety by reducing human intervention. These findings suggest that the developed prototype can provide significant operational benefits to the palm oil industry and other sectors requiring similar improvements in productivity and sustainability. Future research will focus on refining the prototype and evaluating its scalability for broader industrial use.
Type Design of Control System in Hydroponic Plants Based on Arduino Uno Arnawan Hasibuan; Rita Sovianto; Ezwarsyah; Asri; Taufiq; M. Sayuti
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The decreasing availability of agricultural land due to urbanization threatens farmers' income and agricultural sustainability. Hydroponic cultivation offers a solution by maximizing limited land, especially in urban areas. However, challenges in managing nutrients and watering systems remain a key research focus to enhance hydroponic efficiency and support environmental sustainability and food security. This research aims to control water flow, watering, and nutrition based on a schedule regulated by the RTC DS3231 and to manage the water volume in the reservoir using the HC-SR04 sensor. Based on data analysis and testing, it is concluded that the system operates effectively, regulating water flow from 08:00 to 17:00 at a flow rate of 0.001464 m³/s, watering pests at 09:00 and 17:00 for 5 minutes at a flow rate of 0.0016 m³/s, providing nutrients every three days at noon for 2 minutes at a flow rate of 0.0007917 m³/s, and managing water volume in the reservoir between a minimum of 92% and a maximum of 97%, with a total capacity of 5,214 liters. This system works well, allowing the owner/farmer to only monitor the hydroponic plants.
Comparison of Logistic Regression and Random Forest Methods in Predicting Vehicle Tax Payment Compliance Khairul Fuadi; Taufiq Taufiq; Arnawan Hasibuan; Dahlan Abdullah; Nurdin Nurdin
Jurnal Informatika Vol. 13 No. 1 (2026): April
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/informatika.v13i1.11944

Abstract

Motor vehicle tax is a major source of Regional Original Income (PAD). However, the level of motor vehicle tax payment compliance in North Aceh Regency is still suboptimal, particularly related to late payments. A data-driven approach is needed to predict and understand taxpayer compliance patterns more accurately. This study aims to compare the performance of the Logistic Regression and Random Forest methods in predicting motor vehicle tax payment compliance, as well as to identify factors that influence taxpayer compliance behavior at the North Aceh Samsat (Sat). This study uses secondary data in the form of motor vehicle tax payment transactions at the North Aceh Samsat for the 2022–2024 period, totaling 100,000 observations. The response variable is the tax payment compliance status (compliant and non-compliant), while the predictor variables include vehicle age, type of ownership, vehicle type, and vehicle brand. The data is divided into 70% training data and 30% testing data. The performance evaluation model is conducted using accuracy, precision, recall, and Area Under Curve (AUC) metrics. The analysis results show that Random Forest has better predictive performance than Logistic Regression, with higher accuracy and AUC values. Vehicle age and type of ownership are the most influential variables in predicting tax payment compliance, while vehicle brand has a relatively smaller influence. Logistic Regression provides a clear interpretation of the variable relationship, but has lower discrimination ability than Random Forest. Random Forest has proven to be more effective as a prediction model for motor vehicle tax payment compliance at the North Aceh Samsat. The application of machine learning-based predictive models has the potential to support more targeted policy making in an effort to improve motor vehicle tax payment compliance, especially in reducing late payments.
EMPOWERING VILLAGE COMMUNITIES OF SURVIVORS THROUGH MASS CIRCUMCISION SERVICES Taufiq; Zulmiardi; Ratna; Yanita; Syukriah; Bakhtiar
International Review of Practical Innovation, Technology and Green Energy (IRPITAGE) Vol. 6 No. 1 (2026): March-June 2026
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The 2025 flood disaster in Ujong Pacu Village, Lhokseumawe City, disrupted access to preventive health services for children, including circumcision, which has medical, social, and religious aspects. This community service research aims to improve the health of flood survivor children through a community-based mass circumcision program. The implementation method uses a community-based intervention approach that includes preparation, medical procedures, and post-procedure monitoring and evaluation. Data were collected through activity observations, participant documentation, and post-circumcision health evaluations. The results of the activity indicate that the mass circumcision program, implemented continuously from 2015 to 2026, served 260 children with a 100% success rate without serious complications. This program not only improves children's preventive health but also strengthens social solidarity and the role of universities in post-disaster social rehabilitation. These findings confirm that community-based health interventions are effective as a community empowerment strategy in disaster-affected areas.
Co-Authors Abdul Rasyid Abubakar Abubakar Dabet Adi Setiawan Agustival, Refi Alchalil Alchalil Alqhifari, Azka Amri Amri Andre Heri Bakriansyah Ar Razi Ariyandi, Zulham Arnawan Hasibuan Asran Asran Asri Asri Asrianda Asrianda Azwinur Azwinur Badriana, Badriana Bakhtiar Bakhtiar Chairil Pratama Cut Yuliani Sari cut Dahlan Abdullah Dedi Fariadi Defry Hamdhana Desy Sary Ayunda Diana Khairani Sofyan Diana, Diana Edo Roska Ezwarsyah Ezwarsyah Fadlisyah Fadlisyah Fajriana Fakhruddin Ahmad Nasution Fatimah Fatimah Ferri Safriwardy Gery Ulayya Hardi Hafizh Al Kautsar Aidilof Hamdhana, Defry Hamzani Hamzani Hardi, Gery U. Hardiansyah, Juni Hermansyah Hermansyah Husni Husni Ikramullah Ikramullah Iqlima Iqlima Iqlima, Iqlima Ishak Ishak Islami Fatwa Johan, T.M. Jumadi Khairul Fuadi Khalsiah Khalsiah M Azkal Azkia M Furqan M Sayuti Madanhar Manik Maizuar Maizuar Maryana Maryana Maryana Maulita, Maya Meutia Fadilla Misbahul Jannah Muchlis Abdul Muthalib Muhammad Daud Muhammad Ikhwanus Muhammad Raihan Rangkuti Muhammad Ridhani Muhammad Sayuti Muhammad Yusuf Muhammad Zakaria Muhammad, Muhammad Muhibuddin Muhibuddin Mujahid, Alvin Munar Munar Munar Munirul Ula Munirul Ula Munzir Absa Nasrah, Sayni Nasution, Fakhruddin A Novi Sylvia Nunsina, Nunsina Nurdin Nurdin Nurdin Nurdin Nursyafri Hafniza Pathia Pathia Pranata, Fajar Putra, Ardiansyah Rahmatina Rahmatina Raihan Putri Rajudin Rajudin Rangkuti, Irsan Efendi Ratna Rita Sovianto Riza Andriani Riza Andriani Riza Mirza Rizki Suwanda Rosdiana Rosdiana Ruwaida Ruwaida Salahuddin Salahuddin Selamat Meliala Siraj Suhaili Sahibul Muna Sujacka Retno Sulaiman . Sulhatun Sulhatun Syahri, Alfis Syamsul Bahri Syamsul Bahri Syarifah Muliana Syukriah Syukriah Syukriah Taufik Taufik Teguh Brahmana Trisna Trisna Wawan Syahputra YANITA YANITA Yasir Amani Yogi Satya Zara Yunizar Zulfikar Ali Buto Zulmiardi zura, zuraimi