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All Journal SAMUDERA Jurnal Informatika dan Teknik Elektro Terapan e-Jurnal Arus Elektro Indonesia Sistemasi: Jurnal Sistem Informasi 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) 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 Janitra Informatika dan Sistem Informasi Journal of Renewable Energy, Electrical, and Computer Engineering Journal Of Human And Education (JAHE) 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) Innovative: Journal Of Social Science Research Jurnal Malikussaleh Mengabdi Jurnal Polimesin PUSAKA: Jurnal Pengabdian Masyarakat Jurnal Pendidikan Teknik Mesin Jurnal Informatika Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Jurnal Ilmu Komputer Aceh
Taufiq Taufiq
Fakultas Teknik Universitas Malikussaleh
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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.
PENGEMBANGAN MODUL PENGOPERASIAN DAN PERAWATAN ALAT RETORT KILN UNTUK LIMBAH BIOMASSA: DEVELOPMENT OF MANUAL OPERATION AND MAINTENANCE MODULE FOR BIOMASS WASTES RETORT KILN Cut Yuliani Sari cut; Adi Setiawan; Islami Fatwa; Taufiq; Riza Andriani
Jurnal Pendidikan Teknik Mesin Vol. 12 No. 1 (2025): Jurnal Pendidikan Teknik Mesin
Publisher : Program Studi Pendidikan Teknik Mesin Fakultas Keguruan dan Ilmu Pendidikan Universitas Sriwiajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36706/jptm.v12i1.48

Abstract

Penelitian ini bertujuan untuk mengembangkan modul pengoperasian dan perawatan kiln retort yang layak dan praktis, menentukan kelayakan modul, dan menentukan kepraktisan modul pengoperasian dan perawatan kiln retort berkapasitas 160 liter. Jenis penelitian yang digunakan dalam penelitian ini adalah Research & Development (R&D) atau penelitian pengembangan. Penelitian pengembangan ini mengacu pada model Borg dan Gall. Langkah-langkah dalam model pengembangan borg and gall terdiri dari 10 tahap, yaitu potensi dan masalah, pengumpulan data, desain produk, validasi desain, revisi desain, uji coba produk, uji coba pemakaian, revisi produk, dan produk massal. Prosedur penelitian yang dilakukan hanya sampai pada tahap keenam, yaitu pengujian produk. Subjek dalam penelitian ini adalah ahli materi, ahli media, dan pengguna/masyarakat. Instrumen yang digunakan dalam penelitian ini adalah angket. Teknik analisis data yang digunakan adalah teknik analisis deskriptif (kualitatif) yang terdiri dari hasil penilaian angket oleh ahli materi, ahli media, dan tanggapan pengguna/masyarakat. Data yang terkumpul akan dikonversi ke dalam bentuk kuantitatif dengan cara mengkonversi setiap item angket ke dalam bentuk skor. Hasil penelitian ini adalah: Produk yang dibuat divalidasi oleh ahli materi dan ahli media, dari hasil validasi ahli materi I untuk aspek kelayakan isi memperoleh presentase sebesar 98,75%, dan ahli materi II memperoleh presentase sebesar 95,75% dengan kategori “Sangat Layak ”. dan untuk kelayakan aspek bahasa, ahli materi I memperoleh persentase sebesar 96,52%, dan ahli materi II memperoleh persentase sebesar 87,50%. Sedangkan hasil validasi dari ahli media I memperoleh persentase sebesar 95,50%, dan ahli materi II memperoleh persentase sebesar 90,83%, dengan kategori “Sangat Layak”. Hasil uji coba responden yang dilakukan kepada 25 orang memperoleh presentase sebesar 87,45% dengan kategori “Sangat Praktis”.
Perancangan Aplikasi Toefl Di Universitas Almuslim Berbasis Cliet Server Rahmatina Rahmatina; Taufiq Taufiq
Jurnal Ilmu Komputer Aceh Vol 1 No 1 (2023): Jurnal Ilmu Koputer Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/ilka.v1i1.1824

Abstract

Pemerintahan Mahasiswa Kampus merupakan sebuah komunitas akademik yang mewakili mahasiswa tingkat universitas. Maksud dari Penelitian ini yaitu untuk membangun sebuah sistem yang dapat digunakan pada Test TOEFL di Laboratorium Lembaga Bahasa Universitas Almuslim Kabupaten Bireuen menggunakan soal yang di bagikan, sedangkan untuk bagian listening menggunakan komputer dan audio. Untuk persediaan komputer pada Lembaga Bahasa sepenuhnya sangat memadai. Dari sistem yang berjalan saat ini terdapat kekurangan yang dapat disimpulkan yaitu membutuhkan waktu dalam proses pemeriksaan TOEFL, membutuhkan kertas jawaban setiap adanya test TOEFL. Model proses sistem ini menggunakan metode Waterfall, di mana alat yang digunakan untuk merancang sistem yaitu Flow Map (Bagan Alir Dokumen), Contecx Diagram (Diagram Konteks), DFD (Data Flow Diagram), ERD (Entity Relationship Diagram). Sesuai dengan perkembangan teknologi pada saat ini, akan lebih baik test TOEFL sepenuhnya menggunakan perangkat komputer. Sehingga pemeriksaan jawaban akan lebih cepat dan dapat menghemat kertas jawaban
Co-Authors Abdul Rasyid Abubakar Dabet Adi Setiawan Agustival, Refi Alchalil Alchalil Alqhifari, Azka Amri Amri Andre Heri Bakriansyah Ariyandi, Zulham Arnawan Hasibuan Asran Asran Asri Asri Azwinur Azwinur Badriana, Badriana Bakhtiar Bakhtiar Chairil Pratama Cut Yuliani Sari cut Dahlan Abdullah Dedi Fariadi Diana Khairani Sofyan Diana, Diana Ezwarsyah Ezwarsyah Fadlisyah Fadlisyah Fajriana Fatimah Fatimah Ferri Safriwardy Furqan, M Hafizh Al Kautsar Aidilof Hardi, Gery U. Hardiansyah, Juni Iqlima Iqlima Iqlima, Iqlima Ishak Ishak Islami Fatwa Johan, T.M. Khairul Fuadi Khalsiah Khalsiah M Sayuti Madanhar Manik Maryana - Maryana Maryana Maryana Maryana, Maryana Maulita, Maya Meutia Fadilla Misbahul Jannah Muhammad Daud Muhammad Raihan Rangkuti Muhammad Ridhani Muhammad Yusuf Muhammad Zakaria Mujahid, Alvin Munar Munar Munar Nasrah, Sayni Nasution, Fakhruddin A Novi Sylvia Nunsina, Nunsina Nurdin Nurdin Nurdin Nurdin 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 Salahuddin Salahuddin Selamat Meliala Siraj Suhaili Sahibul Muna Sulaiman . Sulhatun Sulhatun Syahri, Alfis Syamsul Bahri Syamsul Bahri Syukriah Syukriah Syukriah Taufik Taufik Trisna Trisna YANITA YANITA Yogi Satya Zara Yunizar Zulmiardi zura, zuraimi