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All Journal Journal of Electrical Technology METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Sisfokom (Sistem Informasi dan Komputer) International Journal of Engineering, Science and Information Technology JURNAL ILMIAH GLOBAL EDUCATION International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Algoritma Jurnal Teknologi Terapan and Sains 4.0 Jurnal Malikussaleh Mengabdi Journal of Advanced Computer Knowledge and Algorithms INOVTEK Polbeng - Seri Informatika
Fuadi, Wahyu
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Religion 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 Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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PERAMALAN PENJUALAN ELEKTRONIK MENGGUNAKAN METODE SINGLE EXPONENTI SMOOTHING DAN DOUBLE EXPONENTIAL SMOOTHING PADA TOKO LINA MANDIRI ELEKTRONIC CUNDA Karmawati, Karmawati; Fuadi, Wahyu
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 1 No. 1 (2017): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2017
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v1i1.255

Abstract

Toko Lina Mandiri Elektronic adalah salah satu merupakan toko yang bergerakdalam bidang penjualan barang-barang elektronik di cunda. Hasil nilai error MSEyang terkecil pada ramalan Kulkas/LG/GN-V191RL terdapat pada metode (SES)adalah 64.5833. Ramalan penjualan TV/LG/32LF550A memiliki nilai MSE yangterkecil terdapat pada metode (SES) adalah 46.8590. Ramalan penjualanAC/LG/T09NLA memiliki nilai MSE yang terkecil terdapat pada metode (SES)adalah 35.4012. Ramalan penjualan Mesin Cuci/LG/WP-905R memiliki nilai MSEyang terkecil terdapat pada metode (SES) adalah 48.0187. Ramalan penjualan RiceCooker/Miyako/MCM-608 memiliki nilai MSE yang terkecil terdapat padametode (SES) adalah 65.4379. Ramalan penjualan Kipas Angin/Miyako/KAD-927memiliki nilai MSE yang terkecil terdapat pada metode (SES) adalah 68.1184.Ramalan penjualan Dispenser/Miyako/WD-588HC memiliki nilai MSE yangterkecil terdapat pada metode (SES) adalah 81.1303. Ramalan penjualan VCDPlayer /Polytron/3500 memiliki nilai MSE yang terkecil terdapat pada metode(SES) adalah 64.9826. Ramalan penjualan Speaker Aktif/Polytron/PAS 200memiliki nilai MSE yang terkecil terdapat pada metode (DES) adalah 36.9455.Peramalan penjualan elektronik yang tertinggi pada metode Single ExponentialSmoothing dan metode Double Exponential Smoothing terdapat pada barang RiceCooker/Miyako/MCM-608. Peramalan penjualan elektronik yang terendah padametode Single Exponential Smoothing dan metode Double Exponential Smoothingterdapat pada barang AC/LG/T09NLA.Kata kunci : Single Exponential Smoothing, Double Exponential Smoothing,Peramalan, MSE, Penjualan Elektronik.
Cosmetic Shop Sentiment Analysis on TikTok Shop Using the Support Vector Machine Method Rahmawati, Rahmawati; Fuadi, Wahyu; Afrillia, Yesy
International Journal of Engineering, Science and Information Technology Vol 4, No 2 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i2.498

Abstract

User reviews are crucial in today's digital world for determining a product's quality. Nevertheless, these remarks are frequently disorganized and erratic, which confuses people and makes it challenging for them to make wise purchases. The erratic character of these reviews breeds uncertainty and makes determining a product's actual value more difficult. To help consumers more effectively evaluate and select products on platforms such as TikTok Shop, this study uses sentiment analysis tools. It hopes to accomplish this by improving the overall shopping experience and empowering customers to make more confident and informed selections. This research aims to assist consumers in evaluating and selecting products on TikTok Shop, an online shopping platform, by employing sentiment analysis techniques that help consumers make more informed decisions. In this study, a total of 500 comments from TikTok Shop users were collected as data. 350 comments have been set aside for training and 150 comments were set aside for testing. Data was gathered employing scraping, an automated process that makes use of the Python library's Selenium module to retrieve data from the internet. We employed the Support Vector Machine approach, an efficient machine learning tool for text classification, to assess the comments. 121 comments were categorized as having positive sentiment and 29 as having negative sentiment based on the test results. The system successfully recommended the "Ourluxbeauty" cosmetics store as a shop with many positive sentiments, indicating a recommendation level of 0.7 on the positive sentiment scale. The system's accuracy was measured using a Confusion Matrix, resulting in an accuracy rate of 78% and an inaccuracy rate of 22%. This demonstrates that the system can accurately classify comment sentiments and has significant potential for application in e-commerce practices to enhance the online shopping experience.
Application of Off-Grid Solar Panels System for Household Electricity Consumptions in Facing Electric Energy Crisis Meliala, Selamat; Muhammad Jalil, Saifuddin; Fuadi, Wahyu; Asran, Asran
International Journal of Engineering, Science and Information Technology Vol 2, No 1 (2022)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1122.382 KB) | DOI: 10.52088/ijesty.v2i1.199

Abstract

At this time the cost of electricity is very expensive which is felt by the community because the government is still exploring oil and natural gas which is the need for non-renewable energy sources that are running low. This non-renewable energy still dominates for power generation in the thousands of Mega Watts. To anticipate the problem of non-renewable energy that is so big, you can use the On Grid-Tie System, sunlight is converted into DC voltage through the Solar Module, a pure DC voltage that comes out of the solar module. And Off Grid-Tie System namely sunlight is converted into DC voltage through the Solar Module, pure DC voltage generated from the solar module. Then the pure DC voltage uses a DC to DC regulation module or is called a DC regulator. DC regulator which aims to regulate the storage of DC current into the battery. Then the battery is used to supply power to the inverter. The method used in this study uses an off-grid solar home system as a power supply for households that are far from the electricity network or save electricity consumption due to expensive electricity rates. For settings for the intensity of sunlight using a portable holder, the solar panels are shifted manually in order to get the optimal light intensity to produce large output power. In off-grid application testing at household loads, from a load test of 93.5 watts to 750 watts, it shows that the load current is getting bigger and the discharging current is also large so that the duration of using the off-grid system from a load of 93.5 watts is 6 hours long and at a load of 750 watts. up to 15 minutes. This is because the condition of the lead-acid battery is maintained from 13.56 to 11.5 Volt DC, the battery should not be forced below the 11.5 Volt voltage because it will cause damage to the battery. For the use of loads that respond to very high instantaneous currents such as electric irons, dispensers, rice cookers should use more batteries and use an off-grid system voltage higher than 12 Volt DC.
ANT COLONY OPTIMIZATION PADA E-TOURISM UNTUK PEMILIHAN LOKASI TEMPAT WISATA fuadi, wahyu; Fariadi, Dedi; Aqsa, Dina Alfini
Jurnal Teknologi Terapan and Sains 4.0 Vol 4 No 3 (2023): Jurnal Teknologi Terapan & Sains
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/tts.v4i3.14616

Abstract

Kota Lhokseumawe dan Kabupaten Aceh Utara merupakan kawasan yang menyuguhkan aneka ragam pesona yang tak kalah menarik dengan daerah lainnya, terutama pada bidang pariwisata, namun minimnya media untuk mendapatkan informasi mengenai tempat wisata di daerah tersebut membuat para wisatawan kesulitan untuk mendapatkan akses ke tempat tujuan wisata. Oleh karena itu, sangat dibutuhkan suatu aplikasi e-tourism untuk membantu para wisatawan dalam mempermudah akses ke tempat tujuan. E-tourism akan menjadi pemandu virtual untuk para penggunanya dimana didalamnya terdapat beberapa fitur seperti data informasi mengenai tempat wisata hingga memberikan rekomendasi rute yang optimal kepada penggunanya. Penentuan rute ke tempat tujuan menggunakan algoritma ant colony optimization sebagai metode dalam mengkalkulasikan jarak dari titik awal ke titik tujuan. Tahapan dalam petancangan aplikasi dimulai dari inisialisasi parameter dengan menentukan nilai node dari lokasi user berada ke titik tujuan, inisialisasi parameter seperti tetapan intensitas jarak semut (), pengendali visibilitas (), jumlah siklus semut (Q), visibilitas ditentukan dari node pada tabel list, menghitung probabilitas pada node dan melakukan update pheromone. Nilai dengan preferensi terbesar pada node akan dipilih sebagai hasil dari rute optimal. Hasil yang diperoleh berdasarkan pegujian, metode ant colony optimization dapat mencari rute terbaik berdasarkan kriteria tertentu seperti jarak, tikungan pada jalur yang ditentukan, maupun posisi user. Aplikasi e-tourism diharapkan dapat membantu wisatawan dalam memilih rute terdekat ke objek wisata yang dituju agar menghemat waktu dan pengeluaran selama melakukan perjalanan.
Meningkatkan Penulisan Karya Tulis Ilmiah dan Publikasi Guru di SMA Negeri 1 Lhokseumawe Ula, Mutammimul; Badriana, Badriana; Dinata, Rozzi Kesuma; Bintoro, Andik; Fuadi, Wahyu
Jurnal Malikussaleh Mengabdi Vol. 2 No. 1 (2023): Jurnal Malikussaleh Mengabdi, April 2023
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jmm.v2i1.12357

Abstract

Peningkatan penulisan karya tulis ilmiah guru dapat dilihat dari berapa banyaknya tulisan/karya yang dihasilkan yang sesuai kompetensi yang dimiliki. Guru tidak hanya mengajar siswa di kelas namun juga dituntut untuk dapat menuliskan gagasan atau ide yang dapat dituangkan dalam tulisan yang dipublish di buku maupun jurnal ilmiah baik itu terakreditasi nasional maupun internasional. Salah satu ragam Dewasa ini kompetensi seseorang bisa dilihat dari berapa banyaknya tulisan yang dia buat sesuai kompetensi yang dimiliki. Tujuan pengabdian ini adalah untuk dapat meningkatkan kemampuan menulis dan pengembangan profesi guru yang dipublish di buku maupun jurnal ilmiah baik itu terakreditasi nasional maupun internasional. Metode pelaksanaan pengabdian ini dengan menggunakan library research. Dengan adanya pelaksaan pengabdian ini dapat meningkatkan kemampuan profesionalisme guru sekaligus memperbaiki kualitas pembelajaran dalam mengajar dengan siswa dikelas. selanjutnya publikasi ilmiah bagi guru sebagai prasyarat dalam kenaikan pangkat dan jabatan sehingga memberikan motivasi yang lebih kepada guru untuk dapat membuat karya ilmiah yang lebih berkualitas. Hasil dari pelaksanaan pengabdian ini Dapat menjadi acuan dalam membuat publikasi guru dan dapat menjadi salah satu syarat kenaikan pangkat dan jabatan guru. Eksistensi kompetensi guru bersangkutan dan juga mengembangkan dan menyebarluaskan keilmuan. Kemudian dengan adanya  pelatihan penulisan karya ilmiah bagi guru-guru dapat meningkatkan publikasi imiah bagi guru-guru tersebut. Kegiatan ini dapat membantu peserta guru dalam  menyusun  dan  memperbaiki kerangka  artikel  yang telah dibuat sebelumnya sehingga telah disertakan materi dan wawasan secara teknis maupun teoretis mengenai cara menulis jurnal yang akan diterbitkan jurnal nasional akreditasi.
The Use of Brown's Double Exponential Smoothing Method to Predict Harvest Yields in Horticultural Crops Mutiara, Mutiara; Fuadi, Wahyu; Maryana, Maryana
Journal of Advanced Computer Knowledge and Algorithms Vol 1, No 4 (2024): Journal of Advanced Computer Knowledge and Algorithms - October 2024
Publisher : Department of Informatics, Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jacka.v1i4.17806

Abstract

Agriculture stands as a pivotal sub-sector within the economy of North Aceh. Among its primary commodities are horticultural crops, encompassing the cultivation of vegetables, fruits, medicinal plants, and ornamental flora. In endeavors to boost agricultural productivity and efficiency, the utilization of harvest prediction methodologies has grown increasingly indispensable. This study relies on historical harvest data spanning from 2017 to 2022 to forecast crops such as leafy greens, fruits, and medicinal plants. The selected plants for prediction include spinach, water spinach, cucumber, banana, durian, rambutan, ginger, lesser galangal, and turmeric. Data analysis employs Brown's double exponential smoothing method, selecting the α (alpha) parameter that minimizes the Mean Absolute Percentage Error (MAPE) for accurate forecasting. Spinach is anticipated to yield 1239.9508 quintals, with an α (alpha) parameter of 0.9 and a MAPE of 38.46%. Water spinach is forecasted to yield 2069.75 quintals, with an α (alpha) parameter of 0.5 and a MAPE of 18.14%. Cucumber is projected to yield 1023.22432 quintals, with an α (alpha) parameter of 0.4 and a MAPE of 31.51%. Consequently, the highest projected yield is for water spinach at 2069,75 quintals.
Geographic Information System for Mapping Drug Abuse Areas in Lhokseumawe City Using the Average Linkage Method Syintia, Icut; Fuadi, Wahyu; Yunizar, Zara
Journal of Advanced Computer Knowledge and Algorithms Vol 2, No 1 (2025): Journal of Advanced Computer Knowledge and Algorithms - January 2025
Publisher : Department of Informatics, Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jacka.v2i1.17804

Abstract

Aceh is one of the provinces in Indonesia where the development of drug abuse has increased. The system that runs at BNN Lhokseumawe City in recording data and information about drug abuse cases has not been integrated with the mapping of drug abuse areas. Therefore, BNN and Lhokseumawe City Police need a drug abuse area mapping system in the Lhokseumawe City area. This research aims to build a webgis-based geographic information system using the Google Maps API for map visualization. The data mining method used is Average Linkage, clustering is done based on the number of cases, number of suspects and population in each sub-district in Lhokseumawe City. Cluster 1 consists of 1 sub-district, namely Banda Sakti, which in cluster 1 has a relatively high average value compared to clusters 2 and 3 so that it is included in a very vulnerable level. In cluster 2 consists of 2 sub-districts, namely Muara Satu and Muara Dua, because this cluster has a medium average value compared to clusters 1 and 3 so that it is included in the vulnerable level. Whereas the cluster in cluster 3 consists of 1 sub-district, namely Blang Mangat, which in cluster 3 has a relatively lower average value than clusters 1 and 2 so that it is included in the moderately vulnerable level.
Pelatihan Penggunaan Alat Internet Of Things (IoT) untuk Monitoring Suhu dan kualitas Air Tambak di Kecamatan Dewantara Multazam, Teuku; Erliana, Cut Ita; Bakhtiar, Bakhtiar; Zulfia, Anni; Fuadi, Wahyu; Irwansyah, Defi
Jurnal Malikussaleh Mengabdi Vol. 3 No. 2 (2024): Jurnal Malikussaleh Mengabdi, Oktober 2024
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jmm.v3i2.20480

Abstract

Penerapan dalam penggunaan alat internet of things mengenai monitoring dan pengembangan pengukuran kadar kualitas iar garam ramah lingkungan pada masing-masing meja. Langkah penting dalam pemanfaatan teknologi untuk meningkatkan kualitas dan keberlanjutan produksi garam ramah lingkungan. Tujuan pengabdian ini untuk mengedukasi para petani garam tentang pentingnya pemantauan berkelanjutan dengan internet of things dan penerapan IOT dalam melihat kadar air garam yang akan di produksi yang tidak hanya meningkatkan kualitas, namun juga mengurangi dampak lingkungan. Adapun teknologi yang digunakan dalam proses ini meliputi perangkat pemantauan kualitas air, mengukur kualitas air garam dan kondisi air garam pada masing-masing meja secara real-time, serta penerapan metode produksi yang meminimalkan limbah dan menghemat energi ramah lingkungan. Hasil pengabdian ini diharapkan para petani garam mampu memahami pentingnya menjaga keseimbangan ekosistem dalam proses produksi dan mampu memanfaatkan teknologi IOT dalam monitoring kualitas air garam untuk meningkatkan efisiensi produksi garam. Selanjutnya diharapkan dapat berkontribusi dalam membangun kesadaran akan pentingnya produksi garam ramah lingkungan dan mendukung pembangunan ekonomi berkelanjutan.
Clustering Agricultural Productivity by Type and Results Using K-Medoids Method in Districts North Aceh Zahara, Mutia; Fuadi, Wahyu; Meiyanti, Rini
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.699

Abstract

This research aims to develop a web-based application that can cluster sub-districts in North Aceh District based on the type and yield of agricultural productivity, focusing on increasing the ease of visualization and data analysis by users. The method applied in this research is K-Medoids, a clustering technique used to group sub-districts based on high, medium, and low harvest levels. The application will use data from the North Aceh District Agriculture Office, covering 2021 to 2023, including various food crops such as rice, corn, peanuts, green beans, cassava, sweet potatoes, and soybeans. This research will analyze the sub-district name, type of agriculture, year of production, planting area, and harvest area to identify clusters of sub-districts with similar agricultural yield patterns. The system is developed using the PHP programming language to facilitate implementation and data access by stakeholders. As an evaluation tool for clustering results, the Davies-Bouldin Index (DBI) is used to measure the quality of clustering results. The results of this study are expected to provide insights into agricultural productivity in North Aceh District and assist policymakers in designing more effective strategies to increase agricultural yields, especially in low-yielding sub-districts. In addition, this application also provides an interactive platform for users to analyze agrarian data quickly and efficiently.
Sistem Pendeteksi Tingkat Kesegaran Daging Ayam pada Citra Menggunakan Metode Convolutional Neural Network (CNN) Berbasis Android Naturizal, Rayhan; Fuadi, Wahyu; Rosnita, Lidya
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp301-312

Abstract

This research develops a chicken meat freshness detection system based on image processing, implemented on an Android platform using the Convolutional Neural Network (CNN) method optimized with TensorFlow Lite. The system classifies chicken meat into three categories: fresh, less fresh, and rotten. The CNN model uses 32 filters to enhance feature extraction from the meat images. Testing on 30 samples, with each category tested 10 times, showed an accuracy of 90%, with 27 correct detections and 3 errors in the less fresh category. While the system effectively identifies fresh and rotten categories, there is a challenge in distinguishing the less fresh category due to its ambiguous visual characteristics. One limitation is the lack of a bounding box, causing the application to still provide detection results even when the scanned object is not chicken meat. This application is specifically designed to detect chicken meat pieces, so it is not recommended for use outside this context.
Co-Authors Aidilof, Hafizh Al Kautsar Akbar, Andry Maulana amri, maulana Andik Bintoro Aqsa, Dina Alfini Asran Asran Auji, Muhammad Fathah Badriana, Badriana Bakhtiar Bakhtiar Cut Ita Erliana Dedi Fariadi Eva Darnila Eva Darnila Fadlisyah Fadlisyah Fajriana, Fajriana Halimatun Sakdiah, Halimatun Harahap, Lina Mardiana Irwanda Syahputra Irwansyah, Defi Jabbar, Salamul Jalila, Muhammad Mulkan Kamilaini, Kamilaini Karmawati Karmawati Kausar, M Reza Khairawati Khairawati, Khairawati Kurniawati Kurniawati Kurniawati Lidya Rosnita Maryana Maryana Maryana Maryana, Maryana MUHAMMAD TEGUH, MUHAMMAD Munawarah Munawarah, Munawarah Mutammimul Ula Muthmainnah Muthmainnah Mutia Zahara mutiara mutiara Naturizal, Rayhan Novita, Lilis Nunsina, Nunsina Pohan, Muhammad Wahyu Putri, Husna Moetia Rahma, Putri Rahmawati M, Rahmawati Rahmawati, Rahmawati Ramadhansyah, Rizki Razi, Ar Rini Meiyanti Risawandi, Risawandi RISKA YANTI, RISKA Riza, Saiful Rozzi Kesuma Dinata Safwandi Sahputra, Ilham Saifuddin Muhammad Jalil Selamat Meliala Sofyan, Diana Khairani Sukatin, Sukatin Syintia, Icut Taufik, Nugraha Muhammad Teuku Multazam wandi, risa Yesy Afrillia Zahratul Fitri, Zahratul Zara Yunizar Zulfia , Anni Zuraida Zuraida