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SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PENYAKIT PADA TANAMAN TERONG MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING Ismun Naufal; Nurdin Nurdin
TECHSI - Jurnal Teknik Informatika Vol 12, No 1 (2020)
Publisher : Teknik Informatika Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/techsi.v12i1.2379

Abstract

Dinas Pertanian Lhokseumawe selaku pengawas pertanian setempat, dalam prakteknya juga memberikan penyuluhan serta observasi tentang permasalahan yang terjadi pada petani seperti serangan hama penyakit tanaman pangan, seperti menentukan penyakit yang sering menyerang tanaman khususnya tanaman terong, masalah  yang  sering  terjadi  adalah lamanya proses observasi yang dilakukan secara manual. Untuk mengatasi masalah tersebut, diperlukan suatu sistem komputerisasi yang dapat membantu menentukan kesesuaian penyakit yang sering menyerang tanaman terong, yaitu sistem pengambilan keputusan menggunakan metode SAW, Selanjutnya diharapkan dapat membantu dalam mengevaluasi keputusan terhadap penentuan penyakit. Hasil dari sistem yaitu, Mosaik dengan bobot nilai 0,86 peringkat pertama, kedua Rebah Semai 0,6465, ketiga Antraknosa 0,5145, dan yang terkahir adalah Busuk Buah dengan bobot nilai 0,4375.
SISTEM PENGUJIAN HAFALAN AL-QUR’AN STUDI KASUS SURAH AL-ANFAAL AYAT 1-11 MELALUI SUARA MENGGUNAKAN METODE TRANSFORMASI FOURIER DISKRIT DAN TRANSFORMASI SINUS DISKRIT Fadlisyah Fadlisyah; Nurdin Nurdin; Intan Nuriani
TECHSI - Jurnal Teknik Informatika Vol 10, No 1 (2018)
Publisher : Teknik Informatika Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/techsi.v10i1.603

Abstract

Al-Qur’an adalah Kalamullah, sebagai mu’jizat, yang telah diturunkan kepada penutup para Nabi dan Rasul Muhammad dengan perantara Jibril yang termaktub dalam mushaf-mushaf yang dinukil sampai kepada kita secara mutawatir. Pada umumnya didalam dunia pengolahan suara untuk mengenali sebuah suara dapat diberikan beberapa pelatihan terlebih dahulu. Didalam penelitian ini pengenalan suara surah AL- Anfaal ayat 1-11 dengan dua algoritma yang berbeda, yaitu algoritma Discrete sine Transform (DST) dan Discrete Fourier Transform (DFT). Hasil penelitian menunjukkan bahwa sistem Perbandingan Kinerja Algoritma Discrete sine Transform (DST) Dan Discrete Fourier Transform (DFT) untuk sistem pengujian hafalan Al-Qur’an Surah Al- Anfaal ayat 1-11, memiliki kisaran deteksi kebenaran sebesar 73 % untuk algoritma DST sedangkan dengan menggunakan algoritma DFT memiliki kisaran deteksi kebenaran sebesar 45%, sehingga dari persentase menunjukkan bahwa dari segi hasil tingkat deteksi tersebut menyatakan bahwa algoritma Discrete sine Transform (DST) lebih efisien. Sistem ini memiliki beberapa kelemahan yaitu memiliki tingkat kesalahan yang tinggi, dapat dilihat pada unjuk kerja dari sistem pengujian hafalan Al-Qur’an Surah Al-Anfaal ayat 1-11 melalui suara, proses keakurasiannya dapat dilakukan dengan memberikan pelatihan lebih lanjut dengan tambahan data training yang lebih banyak dan lebih bervariasi. Walaupun begitu, sistem hafalan Al-Qur’an ini tidak memungkiri pentingnya guru untuk membimbing dalam belajar membaca Al-Qur’an sesuai dengan hukum-hukum Tajwid yang benar. Kata kunci : Discrete sine Transform (DST), Discrete Fourier Transform (DFT).
Pentingnya Penulisan Karya Ilmiah Bereputasi Bagi Para Dosen Universitas Malikussaleh Dahlan Abdullah; Nurdin; Fadlisyah; M Farhan Aulia Barus; Muhammad Riansyah
Jurnal SOLMA Vol. 10 No. 3 (2021)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v10i3.9412

Abstract

Background: Kewajiban dosen selain melaksanakan pendidikan dan pengajaran adalah melakukan penelitian dan kemudian mempublikasikannya pada berkala ilmiah. Jumlah publikasi pada berkala ilmiah merupakan salah satu indikator kepakaran dosen pada bidang yang dia tekuni. Namun, jumlah publikasi karya ilmiah yang dilakukan oleh dosen-dosen Universitas Malikussaleh relatif sedikit. Metode: Ada dua kemungkinan penyebab hal ini, informasi yang minim tentang sumber-sumber pendanaan penelitian dan belum terasahnya ketampilan menulis dosen. Berdasarkan pemikiran tersebut maka penulis berusaha untuk melaksanakan kegiatan pengabdian kepada masyarakat (intern) berupa pelatihan penulisan karya ilmiah bagi dosen di Universitas Malikussaleh dengan melakukan penyegaran ketrampilan menulis karya ilmiah dan penyebarluasan informasi sumber pendanaan penelitian, khususnya yang berasal dari Universitas Malikussaleh. Hasil: Pendanaan sangat dibutuhan oleh penulis, untuk meningkatkan ketrampilan menulias karya ilmiah dosen di Universitas Malikussaleh dan sekaligus melaksanakan kegiatan pengabdian kepada masyarakat bagi penulis. Semoga proposal pengabdian kepada masyarakat ini bermanfaat. Kesimpulan: Tingginya minat Publikasi para dosen maka diperlukan berbagai kegiatan pelatihan dan strategi pendanaan yang memadai.
Be Wise in Using Social Media and Implementing the UU-ITE Against Hoax Prevention Fadlisyah; Dahlan Abdullah; Nurdin; M Farhan Aulia Barus; Muhammad Riansyah
Jurnal SOLMA Vol. 10 No. 3 (2021)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v10i3.9451

Abstract

Background: Media sosial merupakan salah satu media yang berkembang paling pesat. Sekitar 70% dari pengguna internet diseluruh dunia, juga aktif dalam media sosial. Media sosial seperti Facebook dan Twitter, sampai saat ini masih sangat tinggi tingkat penggunanya. Penggunaan media sosial telah menyebabkan segudang masalah apalagi dengan penerapan UU ITE yang belakangan ini juga sangat sering dibicarakan di Indonesia, antara lain pergeseran budaya dari budaya tradisional menjadi budaya digital. Generasi yang tumbuh dalam budaya digital memiliki kecenderungan bersifat menyendiri (desosialisasi). Metode: Pendekatan yang akan dilakukan adalah dengan memberikan pembelajaran atau pengetahuan tentang pentingnya orang tua, memiliki kemampuan melek media, atau bersikap kritis terhadap media dan arti pentingnya media sosial, UU ITE dan Hoax. Hasil: Namun bagaikan pedang bermata dua, disatu sisi media sosial juga memiliki banyak manfaat. Pengabdian ini dibuat untuk membahas segala permasalahan yang ditimbulkan pada media sosial dan bertujuan agar media sosial dapat digunakan dengan lebih bijak dengan menggunakan metode literatur bersifat deskriptif-analitis dan tidak bertentangan dengan UU ITE. Kesimpulan: Hasil dan kesimpulan dalam pengabdian ini, semoga bisa dirasakan oleh masyarakat umum yang ada di sekitar kampus Universitas Malikussaleh.
Clustering the Distribution of COVID-19 in Aceh Province Using the Fuzzy C-Means Algorithm Nurdin Nurdin; Suci Fitriani; Zara Yunizar; Bustami Bustami
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 6, No 3 (2022): July
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v6i3.8576

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COVID-19 is a virus that attacks the respiratory system in humans and spreads rapidly. The government has taken various ways to reduce the rate of transmission of COVID-19, including by providing a COVID-19 information center that can be accessed by anyone, but there is no grouping of regional zones with high to low COVID-19 cases. Therefore, a clustering process system for the spread of COVID-19 is needed so that it is able to provide information on clusters of COVID-19 distribution areas in Aceh with the highest case zone (red zone), medium case zone (yellow zone), and low case zone (green zone). The steps carried out in this study using the Fuzzy C-Means Algorithm are collecting data (input data), conducting the clustering process (determining the number of clusters, weighting rank, maximum iteration and epsilon), displaying clustering results. In this study, the authors collected COVID-19 data from 23 districts/cities in Aceh using 6 variables consisting of confirmed, in care, healed, died, suspected, and probable. The results of the clustering study on the spread of COVID-19 are as follows: One district/city in cluster 1 (red zone), the four districts/cities in cluster 2 (yellow zone), eighteen districts/cities in cluster 3 (green zone). Based on the results of this study, the Fuzzy C-Means Algorithm can be used and applied properly in clustering the spread of COVID-19 in the Province of Aceh. 
I MPLEMENTASI APLI KASI e- BOARDI NG HOUSDI KOTA LHOKSEUMAWE MENGGUNAKAN ALGORI TMA LEVENSHTEI N DI STANCE Agami Iqbal; Nurdin Nurdin
Sisfo: Jurnal Ilmiah Sistem Informasi Vol 1, No 1 (2017): Sisfo: Jurnal Ilmiah Sistem Informasi Volume 1 Nomor 1, Mei 2017
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v1i1.251

Abstract

Seiring dengan kebutuhan masyarakat akan teknologi informasi sangatlahpenting, semakin berkembangnya teknologi informasi, semakin besar pulakebutuhan atau ketergantungan masyarakat akan teknologi informasitersebut. Maka dengan sewajarnya akan memaksa para masyarakat dalammemanfaatkan teknologi tersebut dengan semaksimal mungkin dari segalasegi kehidupan. Informasi tentunya bermacam-macam, salah satunyaadalah untuk para mahasiswa yang akan menjalani studi tour ataupunmenjalani kuliah ditempat yang jauh dari tempat tinggal. Untuk itu jelaspada saat tersebut membuat mahasiswa tersebut harus segera mencaritempat tinggal sementara untuk dijadikan domisili meraka sampai studiselesai. Algoritma Levenshtein Distance adalah salah satu algoritmapencocokan string yang dapat digunakan untuk karakter/string. Denganmenggunakan algoritma levenshtein distance dapat memudahkanmenentukan pencarian berdasarkan String secara efektif dan efesien .Munculnya e-Boarding House berbasis web sangat memudahkan penggunadalam memperoleh informasi mengenai rumah sewa, diantaranyainformasi lokasi dan jarak.Kata Kunci : e-Boarding House, Levenshtein Distance.
Design of A Real-Time Object Detection Prototype System with YOLOv3 (You Only Look Once) Chichi Rizka Gunawan; Nurdin Nurdin; Fajriana Fajriana
International Journal of Engineering, Science and Information Technology Vol 2, No 3 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (202.102 KB) | DOI: 10.52088/ijesty.v2i3.309

Abstract

Object detection is an activity that aims to gain an understanding of the classification, concept estimation, and location of objects in an image. As one of the fundamental computer vision problems, object detection can provide valuable information for the semantic understanding of images and videos and is associated with many applications, including image classification. Object detection has recently become one of the most exciting fields in computer vision. Detection of objects on this system using YOLOv3. The You Only Look Once (YOLO) method is one of the fastest and most accurate methods for object detection and is even capable of exceeding two times the capabilities of other algorithms. You Only Look Once, an object detection method, is very fast because a single neural network predicts bounded box and class probabilities directly from the whole image in an evaluation. In this study, the object under study is an object that is around the researcher (a random thing).  System design using Unified Modeling Language (UML) diagrams, including use case diagrams, activity diagrams, and class diagrams. This system will be built using the python language. Python is a high-level programming language that can execute some multi-use instructions directly (interpretively) with the Object Oriented Programming method and also uses dynamic semantics to provide a level of syntax readability. As a high-level programming language, python can be learned easily because it has been equipped with automatic memory management, where the user must run through the Anaconda prompt and then continue using Jupyter Notebook. The purpose of this study was to determine the accuracy and performance of detecting random objects on YOLOv3. The result of object detection will display the name and bounding box with the percentage of accuracy. In this study, the system is also able to recognize objects when they object is stationary or moving.
Acehnese Traditional Clothing Recognition Prototype System Design Based On Augmented Reality Chicha Rizka Gunawan; Nurdin Nurdin; Fajriana Fajriana
International Journal of Engineering, Science and Information Technology Vol 2, No 3 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (444.224 KB) | DOI: 10.52088/ijesty.v2i3.314

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Acehnese traditional clothing is one of the cultural heritages in Indonesia. In today's modern era, the problem faced is the lack of media to introduce cultural heritage in Aceh. Therefore, a media was formed that could introduce Aceh's traditional clothing, namely Southeast Aceh. The press utilizes Augmented Reality (AR) technology so that users can add virtual objects to the natural environment that are easy to use. In this study, a system design using Unified Modeling Language (UML) diagrams has been carried out, including use case diagrams, activity diagrams, and sequence diagrams. This system is built using the C++ language using the Unity application and the vuforiaSDK platform. Then the test results were obtained on the Southeast Aceh traditional clothing recognition application. Namely, the minimum distance that can display 3d objects is a distance of 5 cm, and the maximum distance that can be detected is 80 cm. Based on the test results in the distance test table, the best distance obtained, which results in the detection of markers that are still clear and bright, is at a distance between 5 cm to 70 cm. Meanwhile, at a distance of more than 80 cm, the marker cannot detect markers to display 3D objects because the distance between the camera and the marker is too far. Likewise, with the angular slope, the minimum angle of inclination detected is an angle of 0°, while the maximum angle of inclination detected is an angle of 75°. Based on the test results on the angle slope table, the best angle is obtained, which results in detecting markers that are still clear and bright at a distance between 0-60°. After that, testing is also carried out based on the lighting, where if the light is too bright or too dark, the camera cannot detect the marker.
Tokopedia and Shopee Marketplace Performance Analysis Using Metrix Google Light-house Suhaili Sahibul Muna; Nurdin Nurdin; Taufiq Taufiq
International Journal of Engineering, Science and Information Technology Vol 2, No 3 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (346.909 KB) | DOI: 10.52088/ijesty.v2i3.312

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The development of the marketplace is growing very rapidly and has become familiar in the lives of Indonesian people. The term marketplace has also been imprinted in the general public as a place for buying and selling online without having to meet physically. In practice, the marketplace has also provided a lot of convenience and comfort in shopping, starting from transaction security and selection of varied shopping items, also equipped with estimates in shipping. It doesn't stop there; the development of the marketplace has also penetrated almost all products, including services, food, music, books, household products, airline tickets, and even investments that can be made in the marketplace. Google Lighthouse is a complex metric where the assessment includes in terms of Performance, Accessibility, Best Practices, and SEO, which is presented with a score of 0 to 100 in other words, Google will assess a website with a predetermined metric and then audit it to improve accessibility and SEO. a website. The results of this study are expected to be able to present actual analytical information based on the matrix determined by Google Lighthouse for future improvements where the Tokopedia marketplace gets a performance value with a yellow score of 85, which can be optimized by minimizing the speed index 3.7s, time to interactive 5.9s and total blocking time is 390s to be more optimal in terms of performance and Shopee has decreased in performance with a value of 13 red on first contently paint 2.8s, speed index 16.8s, time to interactive 26.5s, largest contently paint 16.3s, cumulative layout shift 0.484 and total blocking time of 1,710ms to be further assessed for optimal results. Based on this test, it can be concluded that Tokopedia is superior to Shopee from various aspects of the matrix tested.
Information and Communication Technology Competencies Clustering For Students For Vocational High School Students Using K-Means Clustering Algorithm Muhammad Faisal; Nurdin Nurdin; Fajriana Fajriana; Zahratul Fitri
International Journal of Engineering, Science and Information Technology Vol 2, No 3 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (439.246 KB) | DOI: 10.52088/ijesty.v2i3.318

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The k-Means Clustering algorithm is intended to partition data into one or more groups, where data that has similarities in one group and data has differences in another. Information and Communication Technology (ICT) Competency data clustering in educational units is considered necessary to facilitate educational facilitation based on the differences in student abilities, determine advanced ICT guidance groups and become a reference in determining the place of Industrial Work Practices (Prakerin). This study aims to find out how the K-Means Clustering algorithm can be applied in clustering the ICT competencies of students at the State Vocational High School (SMK) 3 Lhokseumawe. The benefits generated in this study are in the form of visualization of data clustering that can help teachers and school management in formulating ICT policies at SMKN 3 Lhokseumawe. The data used in this study is the Information and Communication Technology (ICT) competency test score data for the 2021/2022 academic year. The data was obtained through a competency test process that refers to the Minister of Education and Culture Regulation Number 45 of 2015 concerning the Role of ICT/KKPI Teachers in the Implementation of the 2013 Curriculum where ICT competence includes the skills to search, store, process, present and disseminate data and information. Data processing in this study uses the K-means Clustering method and the RapidMiner application. Data processing using the RapidMiner application starts with data preparation, determining the number of clusters, and configuring the method. This study uses 3 (three) cluster configurations, namely the Very Competent, Competent, and Less Competent clusters. Testing data processing using the RapidMiner application resulted in 80 (eighty) students in cluster_0 with a Very Competent rating, 64 (sixty-four) students in cluster_1 with a Competent rating, and 10 (ten) students in cluster_2 with a Less Competent rating.