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All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Fisika FLUX Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal Nasional Komputasi dan Teknologi Informasi J-SAKTI (Jurnal Sains Komputer dan Informatika) IJISTECH (International Journal Of Information System & Technology) Jurnal Mantik Technologia: Jurnal Ilmiah G-Tech : Jurnal Teknologi Terapan JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Sistem Komputer dan Informatika (JSON) Journal of Computer Networks, Architecture and High Performance Computing IJISTECH Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) J-SAKTI (Jurnal Sains Komputer dan Informatika) Sistem Pendukung Keputusan dengan Aplikasi International Conference on Sciences Development and Technology Innovative: Journal Of Social Science Research Jurnal Pengabdian Masyarakat
Armansyah Armansyah
Computer Science Study Program, Universitas Islam Negeri Sumatera Utara
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering 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 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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Algoritma Genetika Untuk Perancangan Aplikasi Penjadwalan Mata Pelajaran Mhd Furqan; A Armansyah; Rizki Ananda
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.476

Abstract

The schedule is one of the important activities to help the teaching and learning process in schools, the schedule planning process is still done manually so there are still conflicting schedules between classes. because of the large number of classes and a lot of time ordering a certain day so that sometimes up to 3 times the revision schedule, and the implementation of learning becomes late. To overcome this, one of the appropriate ones is used so that the scheduling process can run well. One of the algorithms used for scheduling the genetic algorithm is one of the improvement algorithms that can be used in various types of problems such as scheduling, the schedule will be tested on classes that clash, which are selected randomly. random or random in each class, the test will be asked to input or fill in the crossover probability number = 0.70 and mutation probability = 0.40 and the number of generations = 1000, then executed. After that it will occur and program execution in the form of selection, crossover, and mutation that will occur in the background of the screen, so that the results of applying 17 classes and 1 laboratory room using the genetic algorithm method can be used to compile a list of lessons.
Analisis Sentimen Mahasiswa Terkait Pembelajaran Tatap Muka Menggunakan Metode Naive Bayes Classifier Heri Santoso; Armansyah Armansyah; Dita Desliani
Techno.Com Vol 21, No 3 (2022): Agustus 2022
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/tc.v21i3.6262

Abstract

Pemerintah Indonesia melalui 4 kementerian yaitu Menteri Kesehatan, Menteri Dalam Negeri, Menteri Agama serta Menteri Pendidikan dan Kebudayaan, menerbitkan surat keputusan bersama mangenai Panduan Penyelenggaraan Pembelajaran Di Masa Pandemi Coronavirus Disease 2019. Berdasarkan SKB, pemerintah memfasilitasi pelaksanaan pembelajaran jarak jauh dan pembelajaran tatap muka terbatas disemua tingkatan pendidikan. Keputusan pemerintah tersebut ditanggapi beragam oleh masyarakat, termasuk mahasiswa  yang terlibat langsung dalam penerapan kebijakan ini. Banyak mahasiswa yang menyampaikan pendapat terkait kebijakan ini, baik pendapat positif ataupun negatif. Pada penelitian ini, dilakukan analisis sentimen yang bertujuan untuk mengetahui sentimen yang diberikan mahasiswa terkait penerapan pembelajaran tatap muka tahun ajaran 2021/2022 diperoleh melalui kuisioner (angket) serta menerapkan metode Nave Bayes Classifier. Menggunakan dataset sebanyak 5350 opini yang berasal dari 1070 responden. Berdasarkan proses analisis sentimen yang dilakukan, dapat disimpulkan bahwa mahasiswa/i dari Universitas Islam Negeri Sumatera Utara Medan mendukung penerapan pembelajaran tatap muka (PTM) dilingkungan UIN-SU Medan pada semester genap tahun ajaran 2021/2022. Akurasi yang dihasilkan oleh metode Nave Bayes Classifier saat melakukan klasifikasi sentimen (opini) dapat dikatakan baik, yaitu sebesar 84%. Setelah melakukan proses validasi sistem dengan menerapkan K-Fold Cross Validation, nilai K=10 ternyata metode Nave Bayes Classifier berhasil memperoleh akurasi yang baik, dengan rata – rata akurasinya sebesar 83%. Kata kunci:  analisis sentimen, nave bayes classifier, k-fold cross validation, pembelajaran tatap muka
Implementation of Naïve Bayes Method in Classification of Nutritional Status of Toddlers at Pasar Ujungbatu Sosa Public Health Center Heri Santoso; A Armansyah; Fitri Handayani Siregar
IJISTECH (International Journal of Information System and Technology) Vol 6, No 3 (2022): October
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i3.254

Abstract

Health is a very important field in human life, there have been many studies or studies conducted in the health sector, for example nutrition problems. Nutrients are needed by humans to live healthy in order to be able to move and carry out daily activities. For the fulfillment of nutrition in toddlers is usually influenced by social and economic factors of the family. Toddlers' bodies need balanced nutrition to be able to grow and develop properly. The results of the SSGI in 2021 the stunting rate nationally decreased by 1.6% per year from 27.7% in 2019 to 24.4% in 2021. The data used in this study was 1114 toddler data. From the results of training and data testing consisting of 5 attributes, namely gender, age, weight, height, and upper arm circumference and there are 4 classes for class division, namely over nutrition, good nutrition, less nutrition and poor nutrition. And it is known that the accuracy by using 10 data samples gets an accuracy value of 80%. Thus, the system built using the Naive Bayes method is considered successful in classifying the nutritional status of children under five
Comparison of the Analytical Hierarchy Process Method and the Simple Additive Weighting Method in the Selection of the Best Fiction Books in the 1990s Armansyah Armansyah; Yustria Handika Siregar; Muhammad Dedi Irawan; Cici Armayani; Maulana Habib
International Conference on Sciences Development and Technology The 1st ICoSDTech 2021
Publisher : International Conference on Sciences Development and Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (613.666 KB)

Abstract

A fiction book is a story book written based on the imagination of an author, the stories contained in fiction books are stories that entertain readers. In the era of the 1990s fiction books were books that had a lot of interest among the people at that time. This study aims to determine the feasibility of fiction books to be categorized as the best fiction books. The problem of this research is in the assessment process which only judges from reader reviews, it is not effective for making a selection of fiction books, so to solve this problem, a decision support system will be implemented using the Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods. system with multi-attribute decision making. In this study, the criteria for copies with a value of 35% will be used as a benchmark for assessing the selection of fiction books. Then the results issued by the system using the AHP method will show the transparency of the assessment with each value and have a certain weight according to the priority and the final results of ranking the two AHP and SAW methods will produce the same alternative with the highest alternative value which will be recommended as a fiction book that has the right to be the best fiction book in the 1990s era.
Implementasi Jaringan Syaraf Tiruan Backpropagation Pada Klasifikasi Grade Teh Hitam Muhammad Ikhsan; Armansyah Armansyah; Anggara AlFaridzi Tamba
Jurnal Sistem Komputer dan Informatika (JSON) Vol 4, No 2 (2022): Desember 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v4i2.5312

Abstract

Black tea is the most widely produced type of tea in Indonesia, where Indonesia itself is the 5th largest black tea exporter in the world. According to the provisions of SNI-1902-2016, the quality requirements of black tea through appearance include the shape, size and weight (density), and the color of the black tea particles themselves. This study aims to determine the workings of the backpropagation method and the implementation of python on black tea grade classification, and to determine the level MSE of accuracy in the results of black tea grade classification using backpropagation. The model used in this study uses 4 input layers, 5 hidden layers, and 3 output layers. In the input layer, 4 input variables are used, namely shape, size, density, and color. The results of the classification using backpropagation with a number of iterations of 1000 iterations on the training data obtained an error of 0.096.
Utilization of Solar Panels as a Source of Electrical Energy in Alternating Current (AC) Water Pump Masthura Masthura; Armansyah Armansyah
Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat Vol 20, No 1 (2023): Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat
Publisher : Lambung Mangkurat University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/flux.v20i1.14421

Abstract

Solar panels are an alternative power generation system sourced from the absorption of solar energy. The solar energy absorbed will convert into a source of electricity. The solar panel's power drives an alternating current (AC) water pump. This study aims to determine the performance of the AC water pump by utilizing electrical energy sourced from solar panels. The parameters measured are voltage, current, and power generated by the AC water pump at varying times. The solar panels used with a capacity of 100 WP were connected to a solar charge controller (SCC), which was connected to a battery, and an inverter functions as a tool to convert DC  to AC. The results were obtained from solar panels that can optimally drive the AC water pump. At 10.00 WIB, the electric voltage was 17.68 volts, the electric current was 4.98 amperes, and the electric power was 88.04 Watts. At 15.00 WIB, with clear weather conditions,  an electric voltage of 18.90 volts, an electric current of 6.22 amperes, and an electric power of 117.55 Watts were obtained.
PENDEKATAN SDLC MODEL WATERFALL DALAM PERANCANGAN APLIKASI PENDAFTARAN KURSUS Dimas Kurniawan; Armansyah .
Technologia : Jurnal Ilmiah Vol 14, No 3 (2023): Technologia (Juli)
Publisher : Universitas Islam Kalimantan Muhammad Arsyad Al Banjari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/tji.v14i3.11399

Abstract

Perkembangan teknologi informasi (TI), harus mampu mendukung proses bisnis yang menekankan pada prinsip efisiensi, efektifitas dan validitas di bidang pendidikan nonformal. Salah satu teknologi yang sedang populer adalah aplikasi Google Form yang dapat digunakan untuk berbagai kebutuhan pendataan. Sanger Learning yang merupakan lembaga pendidikan non formal di Medan telah menggunakan aplikasi ini dalam menerima pendaftaran peserta kursusnya. Meskipun fasilitas ini telah mendukung proses bisnisnya, namun data lembaga ini tidak benar-benar terkoordinir seperti yang diharapkan dan memerlukan rekonfigurasi untuk tahap yang lebih lanjut. Permasalahan tersebut akan dipecahkan dengan merancang sebuah aplikasi berbasis web yang menjadi tujuan dari penelitian ini. Penelitian ini menggunakan pendekatan System Development Life Cycle (SDLC) dengan model Waterfall. Dari penelitian ini, perancangan aplikasi pendaftaran mahasiswa kursus berjalan dengan baik dan mendukung tahapan pengolahan data lebih lanjut seperti pendaftaran program, pengelolaan kelas, dan pembayaran program kursus.
Rancang Bangun Alat Bantu Pengenalan Warna Untuk Penyandang Buta Warna Menggunakan Metode Coloring Filters (Cf) Dan K-Means Clustering Berbasis Mikrokontroler Lisma Autia; Muhammad Ikhsan; Armansyah Armansyah
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.v3i4.4348

Abstract

Mata merupakan indra penglihatan yang sangat vital fungsinya bagi manusia dalam kehidupan sehari-hari. Mata pada dasarnya memiliki kepekaan terhadap cahaya dan warna. Jika kepekaan terhadap warna terganggu maka akan dialami oleh sebagian orang yang menyandang kelainan buta warna. Penyakit Buta warna (color blindness) merupakan penyakit yang banyak ditemukan kasusnya di dunia. Terdapat bermacam buta warna, yaitu buta warna total dan buta warna parsial. Agar penderita buta warna dapat mengenali pola warna yang dibentuk, maka dirancang dan dibangun sebuah alat bantu pengenalan pola warna menggunakan sensor TCS3200-DB yang digabungkan dengan mikrokontroler jenis Arduino IDE dan metode coloring filter(cf) dan metode k-means clustering. Dengan tujuan Menerapkan metode coloring filter (cf)dan metode k-means clustering dalam pengenalan warna.Mengetahui rancangan berupa alat bantu pengenalan warna bagi penyandang buta warna berbasis mikrokontroler. Mengetahui hasil dari rancang bangun alat bantu pengenalan warna untuk penyandang buta warna menggunakan metode coloring filters (cf)dan k-means clustering berbasis mikrokontroler.Teknik pengumpulan data dengan langsung terjun kelapangan untuk mengamati permasalahan yang terjadi secara langsung dan studi literatur dalam mencari informasi. Dari hasil penerapan segmentasi citra, penelitian yang dilakukan penulis dalam menganalisis jenis warna berdasarkan nilai RGB. Dalam proses identifikasi benda, warna dominan yang terdeteksi adalah warna biru, hal ini terjadi karena pada sensor warna, warna biru menjadi warna kalibrasi untuk warna lain. Sistem yang dibuat dalam alat bantu deteksi buah warna ini dapat mengenali warna dengan skala yang baik, dari segi tingkat pengenalan warna hingga waktu pendeteksian.
Perbandingan Algoritma Run Length Encoding (RLE) dan Algoritma Variable Length Binary Encoding (VLBE) dalam Mengkompresi File Video Untuk Menghemat Penyimpanan Nur Adillah; Yusuf Ramadhan Nasution; Armansyah
G-Tech: Jurnal Teknologi Terapan Vol 7 No 4 (2023): G-Tech, Vol. 7 No. 4 Oktober 2023
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v7i4.3020

Abstract

Kompresi dilakukan guna membuat ukuran file tersebut lebih kecil. Algoritma merupakan urutan langkah-langkah yang bertujuan untuk menyelesaikan suatu persoalan. Pada penelitian ini menggunakan algoritma Run Length Encoding (RLE) dan algoritma Variable Length Binary Encoding (VLBE). Format file video yang dalam penelitian ini adalah .avi dan .mp4 dan menggunakan Microsoft Visual Studio dengan bahasa pemrograman C# berbasis desktop. Hasil dari penelitian ini adalah file yang video yang telah dikompresi akan memperlihatkan performanya dan parameter perbandingan berdasarkan Ratio of Compression (RC), Compression Ratio (CR), dan Redudancy (RD) diantara algoritma Run Length Encoding (RLE) dan algoritma Variable Length Binary Encoding (VLBE). Dengan permasalahan tersebut penulis ingin membuat suatu penelitian skripsi yang berjudul ‘Perbandingan Algoritma Run Length Encoding (RLE) Dan Algoritma Variable Length Binary Encoding (VLBE) Dalam Mengkompresi File Video Untuk Menghemat Penyimpanan’.
Penutupan Kompetensi Keahlian SMK dengan Pendekatan Klasifikasi Minat Siswa Menggunakan Jaringan Syaraf Tiruan Muhammad Ihsan Nugraha; Armansyah Armansyah
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 6 No. 3 (2023): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

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

Abstract

The lack of intereset in audio and video engineering competencies at SMK Muhammadiyah 9 Medan City causes the minimum number of students in the competence. Therefore, the school needs additional information as a tool to assist them in making a policy to continue or terminate the competency. By utilizing the Artificial Neural Network (ANN) approach, the researcher intends to build a student interest classification model based on student psychological datasets that can be used as a tool in analyzing student interest in  audio and video engineering competencies. The classification model was built using 115 data divided into 92 training data and 23 testing data. Where the data will be transformed into binary numbers (1 and 0) in order to perform algorithm properly. The results of this study show that the model can classify student interest very well into the class labels "interested" and "not interested" as evidenced by the accuracy value of 98.9% on training data and 95.65% on testing data.
Co-Authors Abdul Halim Hasugian Adnan Buyung Nasution Aidil Halim Lubis Anggara AlFaridzi Tamba Cici Armayani Devi Apriani Dimas Kurniawan Dita Desliani Fitri Handayani Siregar Guntur Syahputra Heri Santoso Ilka Zufria Ilka Zurfia Lely Sahrani Lisma Autia Masthura, Masthura Maulana Habib Mhd Furqan Moch Iswan Perangin-angin Muhammad Dedi Irawan Muhammad Ihsan Nugraha Muhammad Ikhsan Muhammad Ikhsan Muhammad Rifqi Al Fauzan Muhammad Rifqi Al Fauzan Rifqi Muhammad Siddik Hasibuan Nur Adillah Nurhasanah Nurhasanah Razzaq H. Nur Wijaya Ridho Wahyudi Pulungan Rizki Ananda Siti Khalizah Suhardi Suhardi Teddy Yogi Pratama Toibatur Rahma Matondang Yustria Handika Siregar Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution Zepi Yarti Simpa