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All Journal Teknika Techno.Com: Jurnal Teknologi Informasi Jurnal Informatika PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Teknologi Informasi dan Ilmu Komputer CESS (Journal of Computer Engineering, System and Science) JURNAL PENGABDIAN KEPADA MASYARAKAT Jurnal Ilmiah KOMPUTASI Sistemasi: Jurnal Sistem Informasi JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING IT JOURNAL RESEARCH AND DEVELOPMENT Indonesian Journal of Artificial Intelligence and Data Mining JRST (Jurnal Riset Sains dan Teknologi) Jurnal Teknovasi : Jurnal Teknik dan Inovasi Mesin Otomotif, Komputer, Industri dan Elektronika JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jusikom : Jurnal Sistem Komputer Musirawas ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JISTech (Journal of Islamic Science and Technology) Jurnal Teknologi Sistem Informasi dan Aplikasi JSiI (Jurnal Sistem Informasi) IJISTECH (International Journal Of Information System & Technology) Journal on Education JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Teknik Elektro dan Komputer TRIAC Jurnal Riset Informatika INFOMATEK: Jurnal Informatika, Manajemen dan Teknologi METIK JURNAL Jurnal Ilmiah Ilmu Komputer Fakultas Ilmu Komputer Universitas Al Asyariah Mandar Jurnal Mantik Journal of Information Systems and Informatics INFOKUM U-NET Jurnal Teknik Informatika Journal of Computer Networks, Architecture and High Performance Computing Jurnal Teknologi Informasi dan Komunikasi Jurnal Teknik Informatika (JUTIF) IJISTECH Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Computer Science and Information Technology (CoSciTech) International Journal of Artificial Intelligence and Robotics (IJAIR) Jurnal Pendidikan dan Teknologi Indonesia Journal La Multiapp KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Info Sains : Informatika dan Sains Jurnal IPTEK Bagi Masyarakat Journal of Computer Science and Informatics Engineering Journal Of Human And Education (JAHE) Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram International Conference on Sciences Development and Technology Innovative: Journal Of Social Science Research Jurnal Pengabdian Masyarakat VISA: Journal of Vision and Ideas Cosmic Jurnal Teknik
Muhammad Siddik Hasibuan
Universitas Islam Negeri Sumatera Utara
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities 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 Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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ANALISIS PERHITUNGAN HPP MENENTUKAN HARGA PENJUALAN YANG TERBAIK UNTUK UKM Muhammad Siddik Hasibuan
Jurnal Teknovasi : Jurnal Teknik dan Inovasi Vol 3, No 2 (2016): Teknovasi Oktober 2016
Publisher : LPPM Politeknik LP3I Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55445/teknovasi.v3i2.65

Abstract

Penggunaan harga pokok produksi dengan metode full costing mempunyai peranan penting dalam keputusan manajemen untuk menentukan harga jual suatu produk. Tujuan jangka panjang yang ingin dicapai penulis dalam penulisan penelitian ini adalah untuk mengetahui perhitungan harga pokok produksi pada perusahaan serta mengetahui pembebanan BOP (Biaya Overhead Pabrik) dalam proses produksi. Sedangkan Target khusus dari penelitian ini adalah untuk menjadikan wirausaha yang memiliki ilmu pembelajaran dalam mengkalkulasikan beban biasa secara tersistem dan mendapatkan harga jual yang optimal. Metode penelitian yang dilakukan dalam penelitian ini meliputi : tahap persiapan berupa mengkaji permasalahan yang ada, tahap pengumpulan data berupa mengumpulkan data-data yang diperlukan untuk menyelesaikan masalah dan tahap terakir adalah tahap penyelesaian berupa melakukan pengolahan dan analisis dari data yang diperoleh dan memberikan kesimpulan dari hasil yang di peroleh.
KEYLOGGER PADA ASPEK KEAMANAN KOMPUTER Muhammad Siddik Hasibuan
Jurnal Teknovasi : Jurnal Teknik dan Inovasi Vol 3, No 1 (2016): Teknovasi April 2016
Publisher : LPPM Politeknik LP3I Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55445/teknovasi.v3i1.73

Abstract

Keamanan data dalam pengaksesan komputer adalah salah satu bentuk yang harus diperhatikan baik secara fisik maupun non fisik. Salah satu bentuk kejahatan pencurian data adalah merekam jejak keyboard komputer dengan bantuan hardware maupun software. Keylogger adalah teknik pencurian data dengan merekan ketikan di keyboard komputer, dengan merekam ketikan komputer tersebut pihak intruder dapat masuk dan mencuri. Tujuan dari penulisan ini adalah untuk memahami bagaimana cara kerja keylogger agar dapat dilakukan cara pencegahan dengan melakukan berbagai macam solusi dan juga untuk mempertahankan sistem keamanan data serta mengetahui software pendukung dan anti keylogger. Metode pencegahan terhadap keylogger dilakukan secara fisik dengan melihat hardware dan non-fisik yaitu software keylogger pada komputer tersebut. perekaman jejak ketikan adalah suatu hal yang dapat terjadi dimana saja tanpa kita sadari, hal yang paling penting untuk mengamankan data selalu mengawasi penggunaan suatu media penyimpan data, network dan selalu menggunakan anti virus yang terupdate.
AUTOMATIC FISH SORTER WITH MICROCONTROLLER BASED SUGENO FUZZY LOGIC Rakhmat Kurniawan R; Muhammad Siddik Hasibuan; Ivan Prayuda
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (506.408 KB)

Abstract

Sorting is a stage carried out by fish farmers during the harvesting process. So it is a tool that can help farmers do sorting during the harvest process. Automatic fish sorting tool with Sugeno Fuzzy logic based on a microcontroller is one solution to assist farmers in sorting. With this system we can reduce errors that often occur in the manual sorting process. The main cause of the manual sorting process is that many fish do not match market needs. This system is only used for the process of harvesting catfish for consumption. There are three classifications of weight categories on these tools including small, adequate and large, in the range of values ​​0-120g, moderately in the range of values ​​of 121-200g and large in the range of values ​​of 201-1000g. This study uses the Sugeno Fuzzy logic method because this method is suitable for use in most real-time problems such as making decisions to find things that are volatile and less certain. In this system there is a microcontroller that has been implanted with Sugeno Fuzzy logic. The sorting process is carried out using a Load Cell sensor as a fish weight counter and assisted by servo movement and the sorting results will be displayed on a 4x20 LCD.
PELATIHAN PENGENALAN APLIKASI BERBASIS WEB TINKERCAD SEBAGAI MEDIA SIMULASI MIKROKONTROLER PADA SMK TARUNA TEKNO NUSANTARA Mhd Ikhsan Rifki; Ali Darta; Aidil Halim Lubis; Muhammad Siddik Hasibuan; Suhardi Suhardi; Abdul Halim Hasugian; Yusuf Ramadhan Nasution
JURNAL PENGABDIAN KEPADA MASYARAKAT Vol 28, No 3 (2022): JULI-SEPTEMBER
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jpkm.v28i3.37227

Abstract

Implikasi penerapan mikrokontroler pada berbagai bidang menarik banyak minat untuk mempelajarinya. Namun terdapat beberapa pengetahuan dasar yang perlu dipersiapkan yaitu pengetahuan dasar terkait fungsi dan jenis komponen, analisa rangkaian elektronika, serta kemampuan dasar dalam pemrograman. Hal tersebut dapat diperoleh dari beberapa cara, salah satunya dengan menggunakan media simulasi. Pada kegiatan pelatihan, peserta pelatihan akan diperkenalkan dengan media simulasi mikrokontroler berbasis aplikasi web yaitu tinkercad. Aplikasi berbasis web tinkercad akan memberikan pengalaman pelatihan menarik bagi peserta pelatihan dengan visualiasi komponen elektronika yang mendekati bentuk aslinya. Selain itu aplilkasi web tinkercad memiliki fitur simulasi yang dapat mendeskripsikan hasil rancangan yang dibangun oleh perserta pelatihan. Pada pelaksanaan pelatihan masing-masing peserta akan disajikan materi dasar terkait fungsi dan jenis komponen elektronika serta mekanisme perancangan sistem kendali otomatis sederhana berbasis mikrokontroler yanng didemonstrasikan menggunakan aplikasi web tinkercad. Hasil evaluasi pelatihan menunjukkan antusiasme dan motivasi positif peserta pelatihan yang ditandai dengan nilai hasil evaluasi penyelenggaraan pelatihan memperoleh nilai rata-rata sebesar 96,3%. Pasca pelatihan diharapkan peserta pelatihan dapat mengasah kemampuan dan ketertarikan dalam bidang mikroprosesor dengan menggunakan media simulasi tinkercad sesuai dengan perkembangan teknologi.
Classification of Batu Bara Songket Using Gray-Level Co-Occurrence Matrix and Support Vector Machine Sriani Sriani; Muhammad Siddik Hasibuan; Rizkika Ananda
Jurnal Riset Informatika Vol 5 No 1 (2022): Priode of December 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i1.469

Abstract

Songket is a traditional woven cloth from the Malay and Minangkabau tribes. Songket can also be classified from the brocade woven family and woven with gold or silver thread. Songket cloth's beauty is the Indonesian people's wealth and preservation. Batu Bara Regency is one of Indonesia's regions with several Songket motifs characteristics. Public knowledge of Batu Bara Songket motifs is still minimal, and the differences between one motif and another are still unknown. This research provides information about the variety of Songket fabrics by classifying six types of Batu Bara Songket motifs, namely the Bunga Tanjung motif, Pucuk Betikam motif, Pucuk Cempaka motif, Pucuk pandan motif, Tampuk Manggis motif and Tolab Berantai motif based on the extraction of the Gray Level texture feature. The Co-Occurrence Matrix includes four parameters: Contrast, Correlation, Energy, and Homogeneity, as well as a classification method with a Support Vector Machine. The feature extraction values ​​ process as input for classification using a Support Vector Machine. The highest accuracy achieved in this study was 57%, using 60 training data and 30 test data.
Apriori to Analyze Sales Patterns of Building Tools and Materials Abdul Halim Hasugian; Muhammad Siddik Hasibuan; Siti Nurhaliza Sofyan
IT Journal Research and Development Vol. 7 No. 2 (2023)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2023.10544

Abstract

The accumulation of transaction data on the sale of building tools and materials, which is increasing day by day, should be used as information that can support sales in stores. Consumer purchasing patterns are the main source of data processing. In this study, it is necessary to have a system to process the transaction data based on trends that appear simultaneously in one transaction. The data used is 1000 sales data from December 2020 to May 2021 by calculating the minimum value of support and minimum confidence as a benchmark in the apriori algorithm process, results obtained are in the form of output which is an association rule that will be used by the store. Input the data in the application after that obtain results item set combination. After that these are obtained by calculating the minimum support. The results obtained are processed again with minimum confidence then the results are being final results of association rules that can be used by stores. If the minimum support is 0.1 (10%) and the minimum confidence is 0.5 (50%), then 122 association rules are obtained, one of which is in the 100th order, "If a customer buys a VSB Board, the customer also buys Jumbo Furing with a support value of 23, 3% and a confidence value of 82.9%”. Association rules as the final result are to evaluate, carry out sales strategies, alternative decisions in stocking goods and determine the placement of goods close together.
Identifikasi Tingkat Kemiripan Dokumen Teks Menggunakan Fungsi Hash Pada Algoritma Winnowing Dan Pattern Recognation Pada Algoritma Ratfliff/Obershelp Abdul Halim Hasugian; Yusuf Karim Rambe; Muhammad Siddik Hasibuan
U-NET Jurnal Teknik Informatika Vol. 7 No. 1 (2023): U-NET Jurnal Teknik Informatika | Februari
Publisher : LPPM Universitas Al Washliyah Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52332/u-net.v7i1.547

Abstract

The development of this very advanced technology in computers era, all document have turned into softcopy file, which can be accessed with computer or smartphone. So many people commit plagiarism by not listed the source and resulting copyright infringement. The plagiarism can be interpreted as an action that takes statements of theft other people’s ideas. In law, patents and intellectual property rights are already regulated In law. Therefore to make it easier for teachers and lecturers in academic. Identification of document is needed to know whether the document includes plagiarism by detecting the similarity of text between documents. Then the authenticity in each document can be maintained its authenticity. The process of identification are using Winnowing and Ratcliff/Obershelp algorithm. Winnowing algorithm is algorithm used to perform the process of checking word similarity (document fingerprint) to identify plagiarism of document. Ratcliff/Obershelp is also used to detect similarities, but it works by returning value that can be userd as a percentage to show the similarity of two strings by calculating the number of characters contained in two strings. Both of these algorithm can be used to identify percentage of similarity of text document.
Analisis Sentimen Kebijakan Pembelajaran Tatap Muka Menggunakan Support Vector Machine dan Naive Bayes Muhammad Siddik Hasibuan; Akbar Serdano
JRST (Jurnal Riset Sains dan Teknologi) Volume 6 No. 2 September 2022: JRST
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (765.587 KB) | DOI: 10.30595/jrst.v6i2.15145

Abstract

Analisis sentimen kebijakan pembelajaran tatap muka selama pandemi dapat dianalisis menggunakan data dari tweet di platform media Twitter. Dari hasil crawling data diperoleh 152 data, selanjutnya dilakukan proses pre-processing untuk memberikan data dari simbol, dan link serta mengubah kata menjadi bobot kata yang dapat dipahami dengan menggunakan teknik TF-IDF. Hasil pembobotan kata ini dianalisis pada kelas positif dan negatif, label positif terkumpul 96 dan negatif 16. Polaritas kelas hasil dari 108 data yang diketahui masyarakat memberikan respon positif terhadap kebijakan pemerintah untuk melakukan pembelajaran tatap muka. Pengujian model Support Vector Machine (SVM) dan Naive Bayes (NB) dari 108 data diperoleh hasil akurasi SVM sebesar 88,09% dan NB 75,92% pada penelitian ini SVM lebih baik dari NB.
Segmentasi Citra Telur Ayam Bardasarkan Perbedaan Ruang Warna RGB dan HSV menggunakan Metode Watersheed Sriani Sriani; Muhammad Siddik Hasibuan; Indah Permata Sari
Innovative: Journal Of Social Science Research Vol. 3 No. 4 (2023): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v3i4.4105

Abstract

Metode watershed digunakan untuk mensegmentasi citra telur berdasarkan perbedaan antara ruang warna RGB dan HSV. Segmentasi diperlukan agar tekstur citra telur dapat ditampilkan dengan menggunakan metode watershed. Pada pengujian ini digunakan 12 sample citra telur, dimana 6 telur akusisinya tanpa memakai pencahayaan senter dan 6 telur memakai pencahayaan senter. Hasil penelitian pada segmentasi mode warna RGB diperoleh nilai MSE rata-rata 90.29, PSNR sebesar 5.09 dan running time 7.62 detik. Hasil segmentasi untuk mode warna HSV nilai MSE rata-rata 101.66, PSNR sebesar 4.32 dan running time 7.81 detik. Hasil segmentasi mode warna RGB nilai MSE tertinggi terdapat pada citra Telur-4, nilai PSNR Telur-8 dan runningtime pada citra Telur-12 dan hasil segmentasi mode warna HSV nilai MSE tertinggi terdapat pada citra Telur-2, nilai PSNR Telur-3 dan running time pada citra Telur-5.
Litopenaeus Vannamei Shrimp Pond Water Temperature And PH Monitoring System Using IoT-Based Sugeno Fuzzy Method Sita Kirana Atikah; Rahmat Kurniawan R; Muhammad Siddik Hasibuan
Jurnal Info Sains : Informatika dan Sains Vol. 13 No. 02 (2023): Jurnal Info Sains : Informatika dan Sains , Edition September  2023
Publisher : SEAN Institute

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

Abstract

In order to make it easier for white shrimp (Litopenaeus vannamei) farmers to monitor pond water quality so as not to disrupt the growth process of white shrimp, a system was built that can be used to monitor and control pH and water temperature conditions remotely using pH sensors and temperature sensors based on IoT. Internet of Things or IoT is a technology that uses the internet to carry out a process of sending data to several devices without using the help of computers and humans. In this case the research was carried out using two water quality parameters, namely water temperature and pH level. This control uses two actuators, namely a water wheel which is useful for lowering the water temperature and a water pump for adding water with the aim of increasing or decreasing the pH level using the fuzzy Sugeno method. The results of the error presentation on the pH sensor were 0.002% and the precision behavior (accuracy) on the pH sensor circuit was 99.998%, the error presentation results on the temperature sensor were 0.038% and the precision behavior (accuracy) on the temperature sensor circuit was 99.962%. carried out by researchers, it can be concluded that the fuzzy sugeno method can fulfill the purpose of monitoring the pH and water temperature of Litopenaeus vannamei shrimp pond water based on IoT, by using 3 temperature rules, namely low temperature: 0-26, normal temperature: 27-30, high temperature: 31 - 45 and 3 rule pH, namely acid: 0 -7.4, normal: 7.5-8.5, alkaline: 8.6 – 14.
Co-Authors Abdul Halim Hasugian Ahmad Affandi Rasyad Nasution Ahmad al-Badawi, Abdullah Aidil Halim Lubis Aidil Halim Lubis Ali Darta Ananda, Rizkika Andi Andi Anisa Simanjuntak Armansyah Asti, Dini Aulia Nurhasanah, Dhea Aulia, Dhinanda Aulia, M. Arif Bela Sapitri Br Sembiring, Trisna Amanda Dicky Adityanta Sinuraya Efendi, Ayu Mahriza Agustin Erwin Nasution Fadhli Rizqi Haidar Pane Fatih Muhammad, Aji Haikal, Baginda Fikri Hamzah, Aldiva Handira, Dysa Harahap, Parlindungan Harahap, Raihan Hasibuan, Bunga Lestari Heri Santoso Hisbullah, Riki Hotmaidah Harahap Hutabarat, Dio Wahyu Habibi Ichsan Rafisyah Ilka Zufria Indah Permata Sari Ivan Prayuda Khairani Ritonga, Putri Kurniawan, Riski Askia Lestari, Rika Dinda Lipantri Mashur Gultom Lorena, Ayu Lubis, Muhammad Taufik Hakim Lubis, Putri Natasya Mahdiania, Diania Marpaung, Devi Aryani Mhd Furqan Mhd Ikhsan Rifki Mitha Rosadi Mrg, Ricky Aulia Muhammad Abi Muzaki Muhammad Dedi Irawan Muhammad Fadiga Muhammad Ikhsan Muhammad Zulfahmi Nasution Mukhairi Rizal, Muhammad Nasution, Yusuf Ramadhan Naufal, Rahmad Piramida, Piramida Pratama, Dian Agus Rahman, Anisa Rahmat Kurniawan Rahmat Kurniawan R Rakhmat Kurniawan R Ramadhan, Rizky Syahrul Rangkuti, M. Naufal Reza Adhitya Budiman Riska Hasibuan Rizkika Ananda Rosadi, Mitha Sandira, Sri Delwis Selian, Suci Nadillah Serdano, Akbar Sholihin, Sazili Siagian, Qori Azmi Ayasy Sinuraya, Dicky Adityanta Siregar, Putri Aprilia Sita Kirana Atikah Siti Nurhaliza Sofyan Sri Wahyuni Sriani Sriani Suendri Suhardi Suhardi Suhardi, Suhardi Supiyandi Supiyandi Syahputra, Surya Syahputri, Cindy Novi Syaqila, Saidatus Tanjung, Tajuddin Tarigan, Mayang Safhira Triase Triase, Triase Utomo, Imam Yudhistira, Yudhistira Yusuf Karim Rambe Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution, Yusuf Ramadhan