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All Journal Jurnal Infomedia INFOKUM Jurnal Real Riset Jurnal Informatika dan Teknologi Komputer ( J-ICOM) jeti Journal of Embedded Systems, Security and Intelligent Systems Journal Of Artificial Intelligence And Software Engineering Jurnal Polimesin
Azhar Azhar
Jurusan Teknologi Informasi Dan Komputer Politeknik Negeri Lhokseumawe
Agriculture, Biological Sciences & Forestry Automotive Engineering Computer Science & IT Control & Systems Engineering Education Engineering Environmental Science Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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SISTEM DIAGNOSA PENYAKIT CORONA DENGAN METODE CASE-BASED REASONING DAN CERTAINTY FACTOR Hendrawaty Hendrawaty; Alfiya Zahara; Azhar Azhar
Jurnal Real Riset Vol 4, No 2 (2022): Juni 2022
Publisher : Jurnal Real Riset

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Abstract

Expert systems are part of a general category of computers known as intelligence.Created an expert system to work on a particular domain. In artificialintelligence, an expertsystem is a computersystemthat imitates the decision-making abilities of humans who are experts in theirfields. The main thrust of artificial intelligence is in developing, solving problems,to build a knowledge-based system in the specific medical field in the domain toaim at diagnosing Covid-19 through the application of an expert system in theform of symptom input. This has prompted the creation of an expert system for diagnosing Covid 19 using the Case Base Reasoning and Certainty Factormethods based on the Responsive Web. The Certanty Factor method is used tofind the certainty value of the disease by calculating the probability value of thedisease symptoms and Case Based Reasoning to find the similarity value of thedisease with the previous case. Based on the calculation results, the expert systemcan be used for early diagnosis of the disease. The result of this study is that thesystem can assist experts in diagnosing Covid-19 disease based on the results ofsystem testing through surveys by conducting interviews with Covid-19 experts.This study also tested the software using the Black Box method.Keywords : casebased reasoning, certainty factor, covid-19,expert system
RANCANG BANGUN APLIKASI DATA BUKU DAN TOKO BUKU DENGAN METODE LOCATION-BASED SERVICE BERBASIS ANDROID Azhar Azhar
Jurnal Real Riset Vol 4, No 2 (2022): Juni 2022
Publisher : Jurnal Real Riset

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Abstract

This system is one of the online bookstore system that sells various categories of books, whose products are sourced from several suppliers. Bookstores located in Lhokseumawe have difficulty in disseminating product information. This research focus to Designing Data Book Apps And Bookstores Based on Location Based Service Methods and Android has a problem formula for how to design and build book-logging apps and bookstores. The purpose of this research is to make the app as a product promotion medium for booksellers and to provide nearby bookstore information for people from out of town by using. This research uses location based service methods. The data sources used are primary and secondary data from Google Maps. Based on the testing conducted, it is obtained the conclusion that users of this system do not have to have a physical store to sell books, and for bookstore seekers must enable GPS to locate the starting point to the nearest bookstore location point.Keywords : Bookstores, Location Based Service
IMPLEMENTASI METODE HUNGARIAN UNTUK OPTIMASI BIAYA SERVIS BERBASIS WEB Azhar; yunita
Jurnal Informatika dan Teknologi Komputer (J-ICOM) Vol 1 No 1 (2020): Jurnal Informatika dan Teknologi Komputer (JICOM)
Publisher : E-Jurnal Universitas Samudra

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Abstract

The matrix is the composition of a mathematical system that can assist all forms of calculations and is directly related to numbers or exact values that are large or small. The effectiveness of solving matrix problems that occur in everyday life can affect the profit side of a company, the Hungarian method is one way to solve this problem. The implementation of the Hungarian method is related to the matrix which is usually used for the case of placing an object or subject in a company. The assignment case that occurred at Bengkel Buyung Tambon-baroh relates to cost optimization for workers with their respective abilities and skills. The problem of cost optimization is very necessary considering the work schedule and the income of the workers depending on the circumstances of the institution or company concerned. Matrix calculation application using web-based Hungarian method can produce values that are considered effective for solving the problem. Based on the test results, the application produces a final value in the form of optimal costs for workers at the Buyung Tambon Baroh Workshop with their respective abilities and skills.
SISTEM INFORMASI TINDAK PIDANA KHUSUS PADA KEJAKSAAN NEGERI LHOKSEUMAWE BERBASIS WEB Azhar; Rizki Balia
Jurnal Informatika dan Teknologi Komputer (J-ICOM) Vol 1 No 2 (2020): Jurnal Informatika dan Teknologi Komputer (JICOM)
Publisher : E-Jurnal Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33059/j-icom.v1i2.5684

Abstract

Kejaksaan adalah bagian integral dari sistem ketatanegaraan (sistem hukum), sebagai aparatur yang mempunyai tugas dan tanggung jawab dibidang penegakkan hukum di Indonesia. Bagian tindak pidana khusus merupakan bagian yang melaksanakan dan mengendalikan penanganan perkara tindak pidana khusus yang meliputi prapenuntutan, pemeriksaan, penuntutan, penetapan hakim dan putusan pengadilan, pengawasan terhadap pelaksanaan pidana bersyarat, dan pengawasan terhadap pelaksanaan putusan lepas bersyarat dan tindakan hukum lainnya. Dosir adalah sekumpulan dokumen mengenai suatu perkara. Proses kerja manajemen berkas masih sangat manual, seperti bagian staff pidana khusus, saat mencari berkas-berkas perkara harus secara manual pada lemari dosir untuk dapat menyelesaikan permasalahan dari setiap data terdakwa, sehingga petugas pidana khusus banyak membuang. Tujuan dari penelitian ini adalah membuat sistem berbasis web untuk membantu petugas menginput, menyimpan, dan mencari dokumen. Hasil dari sistem akan memberikan sebuah QR Code, QR Code tersebut akan menunjukan letak surat yang diperlukan petugas dan mengeluarkan data yang berkaitan dengan isi surat tersebut.Kata kunci: kata kunci dituliskan dalam 5 kata yang sebaiknya merupakan subset dari judul makalah, ditulis dengan menggunakan huruf kecil kecuali untuk singkatan, dan dipisahkan dengan tanda baca koma untuk antar kata.
APLIKASI KLASIFIKASI GENRE MUSIK MENGGUNAKAN METODE NAIVE BAYES BERBASIS DESKTOP Hendrawaty; Dimas Rama Nugraa; Azhar
Jurnal Informatika dan Teknologi Komputer (J-ICOM) Vol 1 No 2 (2020): Jurnal Informatika dan Teknologi Komputer (JICOM)
Publisher : E-Jurnal Universitas Samudra

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Abstract

Voice recognition is a part of sound processing that can be used to recognize music. The use of music based on the genres contained in it has been used in everyday life. However, analyzing the genre of a music on a computer is a difficult thing to do. This study describes the results of the study of the genre classification system on a song. This research is to create a system that can detect the genres contained in the music. Literature study was carried out on each part of the system, then the approach that was considered the best in this design was formulated. This study used the Discreat Transform Fourier method. As a signal processing process, it is useful to find the features of the sound. For the classification process using the Naive Bayes method. Results of all tested genres that are recognizable 66%.
Sistem Informasi Repository Skripsi pada Jurusan Teknologi Informasi dan Komputer Menggunakan Metode Sequential Search Azhar, Amri
Jurnal Elektro dan Informatika Vol 1 No 2 (2020): September 2020
Publisher : LPPM-UNIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5201/jet.v1i2.94

Abstract

One aspect of the success of a company is the management of human resources. Power outlets help standardized integrated electricity services that provide convenience, transparency of information, quality assurance and safety protection for electricity users, while consistently maintaining and improving the services produced so that they are always in accordance with predetermined standards. The power outlet assessment can motivate the morale of each power outlet to improve the dedication and performance of a company. With 6 numbers of power outlets registered at PT. PLN up3 Lhokseumawe with various kinds of assessments it will be difficult to determine which outlets deserve an award. For this reason, a decision support system is needed using the Simple Additive Weighting Method to be able to assist in the assessment of power outlets. The Simple Additive Weighting method is to find the weighted sum of the performance ratings for each alternative on all attributes. The aim of this research is to design a best power outlet rating system. The calculation method uses the result of the largest value which will be selected as the best alternative. The criteria used are performance, finance, facilities, service quality, cooperation, and report results. The results of this study indicate that the best power outlet rankings with the highest value of 92.3 and the lowest value of 36.2 and have been proven by manual calculations and the results of system analysis are the same
Decision Support System Group Of Learning Evaluation At SMA Negeri Lhokseumawe Mulyadi; Azhar; Zulfan Khairil Simbolon; Hendrawati; Amirullah
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

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Abstract

Teachers as educators who have the main task of educating the nation's children to become the next generation who are intelligent and knowledgeable. Teachers can develop students' potential and motivate students to excel. The quality of teachers is influenced by the level of teacher performance in providing knowledge to students and the way of providing clear and appropriate material when teaching. Students must also be involved in the process of assessing the quality of the performance of teachers who have been teaching. Based on these problems, input from students about teacher performance is generally done manually by filling out a satisfaction questionnaire on the teaching and learning process. As a result, we require an assessment system and a model for the quality of learning, particularly in the core school subjects. The evaluation in teacher assessment uses the AHP (Analytical Hierarchy Process) method and group borda. The AHP model process is used to evaluate and improve the quality of student learning so that it can provide objective results. The stages of research using research and development include the first stage, namely the preliminary study stage, theoretical study, and planning stage. The variables measured included attendance, accuracy, ease of capturing material, and the ability to manage classes and formulate problems. The second stage is to test and revise the AHP and Borda models. The third stage is the feasibility test of the decision model with AHP and Borda. The result of the group model is to get the ranking value of each variable, and this value will be entered into the AHP model and the Borda group model. The Borda results are given by the school principal, vice principal, and policy makers. The results of the AHP Model value of K1 (Teaching Attendance Rate) with a priority weight value of 0.280, rank 2, K2 (Accuracy of Starting and Ending Study Hours) of 0.207, and ranking 4, K3 (Ease of Submission of Materials to Be Understood) of 0.295. 1, K4 (Ability to Manage Class Interaction) 0.217, ranking 3. The results of the board for selecting the best teacher: alternative A1 with a value of 0.24 ranking 3. Alternative A2 with a ranking value of 0.20; Alternative A3 with a value of 0.28 ranking 1. Alternative A4 with a value of 0.27 and a rating of 2. The results of this study are the assessment of students and each teacher from the AHP model. Furthermore, the results of the Borda group are in the form of rankings from policy makers. The results of the research are more objective because of the decision-making on the part of students and groups/policy-makers.
RANCANG BANGUN SISTEM APLIKASI E-PEMILU UNTUK PEMILIHAN KETUA HIMPUNAN MAHASISWA JURUSAN BERBASIS WEB Hendrawaty; Adieth Try Aulia Lastana; Azhar
Journal of Embedded Systems, Security and Intelligent Systems Vol. 1 No. 2 (2020): Vol 1, No 2 (2020): November 2020
Publisher : Program Studi Teknik Komputer

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Abstract

Pemilihan Umum Gubernur Jurusan merupakan kegiatan wajib tahunan di setiap kampus. Pada pemilihan suara secara manual menggunakan kertas, masih sering terjadi kecurangan, seperti pemilihan ganda dimana pemilih dapat memperoleh kertas lebih dari satu dan melakukan pemilihan lebih dari sekali, penyalahgunaan suara yang tidak terpakai oleh petugas yang tidak adil. Permasalahan tersebut akan mengundang kericuhan dari pihak mahasiswa yang merasa dirugikan dan akan membuat ricuh keadaan dalam pemilihan gubernur jurusan. Pada penelitian ini dibahas tentang rancangan dan pembuatan sistem epemilu berbasis website. Sistem ini dapat digunakan sebagai pengganti sistem pemilihan secara manual. Pada tahap pendataan mahasiswa, pemilihan gubernur, perhitungan suara, dan perolehan hasil akhir dari pemilihan gubernur, semua akan dilakukan oleh sistem. Dari hasil pengujian sistem e-pemilu ini, data yang tampil serta hasil perolehan hasil akhir sudah sesuai dengan banyaknya pemilihan yang telah dilakukan oleh mahasiswa berdasarkan masing-masing pilihan
Sistem Deteksi Wajah Untuk Pencatatan Kehadiran Mahasiswa Di Kelas Menggunakan Metode Convolutional Neural Network Syifa Zahrah; Azhar Azhar; Musta’inul Abdi
Journal of Artificial Intelligence and Software Engineering Vol 2, No 1 (2022)
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v2i1.3873

Abstract

Kehadiran mahasiswa dalam suatu pembelajaran di kelas seringkali menjadi syarat wajib dalam dunia pendidikan, dan menjadi tolak ukur dalam menilai mahasiswa. Terkadang masih dijumpai praktik curang oleh mahasiswa dalam absensi agar mencapai kehadiran minimal. Dari sisi administrasi, absensi berbasis kertas berpotensi pemborosan dan juga memperpanjang tahapan administrasi karena membutuhkan rekapitulasi manual. Metode yang digunakan dalam penelitian ini adalah pendekatan Deep Learning dengan arsitektur CNN untuk mengenali wajah. Selain gambar wajah, sistem juga akan memvalidasi absensi dengan kesesuaian lokasi dan waktu. Kehadiran mahasiswa dalam proses pembelajaran sangat diperlukan untuk mengetahui jumlah mahasiswa. Penelitian ini dilakukan untuk membuat sebuah sistem pendeteksian wajah dalam mengenali mahasiswa di dalam kelas, kemudian menangkap dan mendeteksi seluruh wajah mahasiswa secara akurat serta melakukan pengujian terhadap sistem, dimana hal ini dilakukan untuk mengetahui sejauh mana sistem dapat bekerja, dalam penerapannya penelitian ini menggunakan algoritma Convolutional Neural Network sebagai metode DeepLearning yang dapat digunakan untuk mengenali dan mengklasifikasi sebuah objek. Sistem ini berhasil mendeteksi 8 dari 10 wajah mahasiswa dan memiliki presentase keakuratan sebesar 80%, dengan jumlah data 300 uji gambar wajah.
Penerapan Metode Deteksi Canny Dan Template Matching Pada Pengenalan Motif Songket Aceh Nurul Fatani; Azhar Azhar; Musta’inul Abdi
Journal of Artificial Intelligence and Software Engineering Vol 2, No 1 (2022)
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v2i1.3872

Abstract

Songket merupakan jenis kain tenun yang dikenal di seluruh Indonesia. Cara penenunan dan motif-motif songket berbeda antara daerah yang satu dengan daerah lainnya masyarakat belum banyak mengetahui informasi tentang motif-motif songket. Kain songket aceh menjadi salah satu kain khas masyarakan Aceh, Untuk pengenalan jenis kain dan motif masih dilakukan secara manual dengan penjabaran dari mulut ke mulut oleh masyarakat Aceh sendiri namun tidak ada informasi yang detail mengenai jenis kain dan arti dari motif kain tersebut. Oleh karena itu dibutuhkam sebuah Aplikasi untuk membantu masyarakat mengenal lebih lanjut jenis kain dan arti motif dari kain tersebut. Sistem dibentuk dengan menggunakan pengolahan citra menggunakan metode deteksi tepi Canny dan Tamplate Matching. Metode deteksi tepi Canny digunakan untuk mendapatkan garis tepi objek, selanjutnya Tamplate Matching digunakan untuk mengenali dan mencocokan tiap bagian dari suatu citra dengan citra acuan. Hasil akurasi sistem sebesar 96.6%, dengan jumlah data 20 uji gambar songket. Berdasarkan pengujian, sistem dapat mengenali 19 citra songket yang diuji dari 5 jenis motif kain songket aceh dengan benar. Berdasarkan pengujian whitebox dan blackbox disimpulkan sistem dapat memberikan informasi kepada pengguna juga dapat memudahkan masyarakat dalam mengenali jenis kain dan arti dari motif kain tersebut.
Co-Authors Adieth Try Aulia Lastana Alfiya Zahara Amirullah Dimas Rama Nugraa Hendrawati Hendrawati Hendrawati Hendrawaty Huzeini Huzeini Irwin Syahri Cebro Maulida Syadzwina Mulyadi Musta’inul Abdi Nurdin Nurdin Nurul Fatani Rizki Balia Said Aiyub Simbolon, Zulfan Khairil Syifa Zahrah Toni Toni yunita