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All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Fisika FLUX RABIT: Jurnal Teknologi dan Sistem Informasi Univrab IKRA-ITH Informatika : Jurnal Komputer dan Informatika Al Qalam: Jurnal Ilmiah Keagamaan dan Kemasyarakatan Jurnal Nasional Komputasi dan Teknologi Informasi IJISTECH (International Journal Of Information System & Technology) Jurnal Mantik Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Technologia: Jurnal Ilmiah G-Tech : Jurnal Teknologi Terapan Jurnal Sistem Komputer dan Informatika (JSON) Journal of Computer Networks, Architecture and High Performance Computing IJISTECH Infotech: Jurnal Informatika & Teknologi Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Journal of Information Technology (JIfoTech) International Journal of Educational Review, Law And Social Sciences (IJERLAS) Journal of Dinda : Data Science, Information Technology, and Data Analytics Sistem Pendukung Keputusan dengan Aplikasi Journal of Computers and Digital Business Innovative: Journal Of Social Science Research Jurnal Komputer dan Teknologi (JUKOMTEK) Edumaspul: Jurnal Pendidikan Bianglala Informatika
Armansyah Armansyah
Computer Science Study Program, Universitas Islam Negeri Sumatera Utara
Religion Aerospace Engineering Humanities Automotive Engineering 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 Neuroscience Physics Public Health Social Sciences Transportation Other

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Tuanku Burhanuddin Reviews West Sumatra Armansyah Armansyah; Abd Mukti; Sapri Sapri
Edumaspul: Jurnal Pendidikan Vol 8 No 1 (2024): Edumaspul: Jurnal Pendidikan
Publisher : Universitas Muhammadiyah Enrekang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33487/edumaspul.v8i1.8185

Abstract

One of the famous reform scholars in West Sumatra is Sheikh Burhanuddin. The purpose of this article is to find out about the life history, scientific spirit and educational system of Tuanku Burhanuddin Ulakan, West Sumatra. The method used in the research is through literature study by carrying out an inventory of all the literature sources used and then carefully verifying them to ensure the level of relevance of the material collected to the object that is the focus of the study in the research. This method is to provide a guarantee of the level of objectivity of the data used. The conclusions from this article are: (1) Sheikh Burhanuddin is thought to have been born in 1056 Hijiriah/1646 AD to a family that adhered to Buddhism. He comes from the Guguk Sikaladi Pariangan area, Padang Panjang, then his parents moved to Sintuak Lubuk Alung. (2) Sheikh Burhanuddin's way of imparting Islamic teachings to the children of Tanjung Medan was in a gradual, soft way. He didn't want to do it hard. The way to do this is to apply one of the verses of the Koran which reads: "Lā Iqraha Fiddīn" (there is no compulsion in religion). (3) It is important to understand that through the Syattariyah congregation which is Sheikh Burhanuddin's means of preaching Islam, Islamic teachings seem to be more easily accepted by the Minangkabau people. Because he presented the Islam of the tarekat which prioritizes the importance of spiritual qualities and inner purification compared to the practices and rituals of the tarekat in general
Klasifikasi Biner Bipolar Pada Data Kusioner Pelamar Asisten Laboratorium Menggunakan Model Hebbian Dan Perceptron Muhammad Fathir Aulia; Armansyah Armansyah
Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Vol 8, No 2 (2025): Juli
Publisher : Akademi Ilmu Komputer Ternate

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47324/ilkominfo.v8i2.324

Abstract

Abstrak: Penelitian ini bertujuan untuk mengimplementasikan model Hebbian dan Perceptron untuk klasifikasi data kuesioner pelamar Asisten Laboratorium yang dikonversi ke format biner dan bipolar. Data kuesioner mengukur ketertarikan dan pengetahuan pelamar terkait bidang ilmu komputer guna menganalisis efektivitas, kecepatan, dan akurasi masing-masing model. Hasil implementasi menunjukkan bahwa model Hebbian dengan input biner tidak mengenali pola hingga epoch ke-10, sedangkan dengan input bipolar berhasil pada epoch ke-2. Model Perceptron dengan input biner mengenali pola pada epoch ke-2, sementara dengan input bipolar pada epoch ke-3. Kedua model dilatih dengan bobot dan bias awal = 0, serta parameter Perceptron berupa threshold (θ) = 0.5 dan learning rate (η) = 0.1. Dari empat pelamar, dua berminat mendaftar. Data dianalisis menggunakan model Hebbian dan Perceptron untuk mengevaluasi ketepatan, kecepatan, akurasi, serta efektivitas. Hasilnya, model Perceptron lebih direkomendasikan karena fleksibel dan mampu bekerja dengan format biner serta bipolar. Temuan ini memberikan wawasan dalam memilih model klasifikasi yang tepat untuk seleksi pelamar Asisten Laboratorium.Kata kunci: Klasifikasi, Hebbian, Perceptron, Biner - BipolarAbstract: This research aims to implement the Hebbian and Perceptron models for the classification of Laboratory Assistant applicant questionnaire data converted to binary and bipolar formats. The questionnaire data measures the applicant's interest and knowledge related to the field of computer science to analyze the effectiveness, speed, and accuracy of each model. The implementation results show that the Hebbian model with binary input does not recognize patterns until the 10th epoch, while with bipolar input it succeeds at the 2nd epoch. The Perceptron model with binary input recognized the pattern at the 2nd epoch, while with bipolar input at the 3rd epoch. Both models were trained with initial weight and bias = 0, and Perceptron parameters of threshold (θ) = 0.5 and learning rate (η) = 0.1. Of the four applicants, two were interested in applying. The data was analyzed using Hebbian and Perceptron models to evaluate precision, speed, accuracy, and effectiveness. As a result, the Perceptron model is more recommended as it is flexible and able to work with binary as well as bipolar formats. The findings provide insights in choosing the right classification model for Laboratory Assistant applicant selection.Keywords: Classification, Hebbian, Perceptron, Binary - Bipolar
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 : Universitas 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.
Implementation of the Taḥfīẓ al-Qur’an Flagship Program at the Ibadurrahman Stabat Islamic Boarding School in Langkat Regency Armansyah Armansyah; Yusnaili Budianti; Mohammad Al Farabi
Al Qalam: Jurnal Ilmiah Keagamaan dan Kemasyarakatan Vol. 20, No. 3 : Al Qalam (May 2026)
Publisher : Sekolah Tinggi Ilmu Al-Qur'an (STIQ) Amuntai Kalimantan Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35931/aq.v20i3.6577

Abstract

This study aims to identify the planning of the Quranic Recitation Program, analyze its implementation, analyze the resulting evaluation, and analyze the supporting and inhibiting factors of its implementation at the Ibadurrahman Islamic Boarding School in Stabat.The method used is qualitative with a case study approach. Data collection is conducted through interviews, observations, and documentation. Data analysis is carried out through data reduction, data presentation, and drawing conclusions. Meanwhile, data validity is tested through source triangulation.The research results indicate that the Taḥfīẓ Al-Qur'an Program at Pondok Pesantren Ibadurrahman Stabat runs according to the stages of management, namely planning, implementation, and evaluation. Planning is carried out by setting objectives based on the needs, age, and abilities of the students, although there is not yet a written curriculum. The program's goal is to create a generation capable of reading the Al-Qur'an according to tajwid and to develop children’s characters with Quranic values. The implementation of this program includes setting tiered memorization targets (3, 5, 10, 15, 20, and 30 juz). Evaluation is carried out to measure the achievement of program targets through assignments such as creating content and translating word by word, as well as submitting memorization to the Taḥfīẓ Al-Qur'an teacher.
Penentuan Komunitas Literasi Terbaik Dengan Menerapkan Metode SMART Armansyah Armansyah; Adnan Buyung Nasution; Devi Apriani; Zepi Yarti Simpa
Sistem Pendukung Keputusan dengan Aplikasi Vol 1 No 1 (2022)
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (682.215 KB) | DOI: 10.55537/spk.v1i1.104

Abstract

Saat ini karena banyak komunitas literasi yang sudah terbentuk, kita harus memilah komunitas literasi mana yang baik untuk diikuti, ada beberapa komunitas literasi yang hanya berdiri dan sistem dan jadwalnya tidak teratur dan jadwalnya lebih dominan. tidak sesuai dengan konsep literasi. Tujuan dari penelitian ini adalah untuk menemukan atau menentukan komunitas mana yang merupakan tempat terbaik untuk belajar menulis oleh penulis pemula. Dengan menggunakan metode SMART (Simple Multi Attribute Rating Technique) yang fleksibel dan sederhana dalam merespon pengambilan keputusan dan respon analitis yang cepat, dimungkinkan untuk menentukan komunitas mana yang terbaik. Dengan bobot dan kriteria yang digunakan yaitu Anggota Aktif (20%), Anggota Tidak Aktif (5%), Aktif Komunitas (15%), Kegiatan Komunitas Eksternal (15%), Kegiatan Internal Komunitas (20%), Kreativitas Komunitas (25% ). Alternatif yang digunakan adalah komunitas yang ada. Dari 25 alternatif yang digunakan, hasil yang didapat adalah komunitas Freedom Literacy dengan rangking tertinggi 0,94. Dari penelitian ini dengan menggunakan metode SMART telah dipilih komunitas terbaik untuk dijadikan tempat belajar menulis oleh penulis pemula yaitu komunitas Feedom Literacy.
MODEL KEPUTUSAN PEMILIHAN ASISTEN LABORATORIUM MENGGUNAKAN LOGIKA FUZZY TSUKAMOTO : LABORATORY ASSISTANT SELECTION DECISION MODEL USING TSUKAMOTO FUZZY LOGIC Mhd. Galih Khairi; Armansyah
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.5881

Abstract

The selection of the right laboratory assistant is very important to support the smooth running of the practicum process in the academic environment. However, conventional selection methods still have weaknesses, such as subjectivity in assessment and time-consuming processes. Therefore, this study develops a decision model based on Tsukamoto fuzzy logic to improve the objectivity and efficiency of laboratory assistant selection. This model uses five main criteria in the assessment, namely academic grades, expertise, ethics, programming tests, and communication skills. The results of the study indicate that the Tsukamoto fuzzy method can produce more transparent and accurate decisions compared to conventional methods. Trials with several candidates show that this model is able to categorize candidates based on the level of eligibility with high accuracy and a margin of error of 0%. Thus, the implementation of this method is expected to improve the effectiveness of the laboratory assistant selection process more fairly and efficiently.
PEMODELAN TOPIK PEMBERITAAN KESEHATAN MASYARAKAT DI MEDIA ONLINE MENGGUNAKAN LATENT DIRICHLET ALLOCATION: TOPIC MODELING OF PUBLIC HEALTH NEWS IN ONLINE MEDIA USING LATENT DIRICHLET ALLOCATION Nur Bainatun Nisa; Armansyah
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 1 (2026): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i1.7172

Abstract

Online media has become the primary source of public health news due to its ease of access and wide dissemination of information. However, the abundance of information makes it difficult to identify key issues and map public opinion trends, resulting in a mismatch between information needs and the necessary policy responses. This study aims to automatically model public health news topics in online media to reveal latent structures and quantify media attention to various health issues. A total of 8,799 public health news articles from the national news portals Detik and Kompas were analyzed using text pre-processing, numerical corpus formation using the Bag of Words method, topic modeling using Latent Dirichlet Allocation, and evaluation using the C_v coherence metric. The test results showed that the optimal model was obtained for three main topics with a coherence C_v value of 0.61. The distribution of media attention to these three topics can be quantified as follows: free health services at 46.4%, community lifestyle and nutrition at 35.3%, and health insurance policies and systems such as BPJS and JKN at 18.4%, which are visualized with clear topic separation and stable semantic relationships using pyLDAvis.  
Peramalan Harga Ayam Berdasarkan Pola Musiman Menggunakan Long Short-Term Memory Tengku Syahvina Rival Dini; Armansyah
Journal of Computers and Digital Business Vol. 5 No. 2 (2026)
Publisher : PT. Delitekno Media Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56427/jcbd.v5i2.990

Abstract

Harga ayam broiler merupakan komoditas pangan yang mengalami fluktuasi signifikan dan memiliki karakteristik pola musiman, sehingga diperlukan metode peramalan yang akurat. Penelitian ini bertujuan untuk memprediksi harga ayam broiler di Kabupaten Deli Serdang menggunakan metode Long Short-Term Memory (LSTM). Data yang digunakan berupa data harga harian periode Januari 2022 hingga Maret 2026 sebanyak 1.551 data. Tahapan penelitian meliputi preprocessing data, pembentukan sequence menggunakan sliding window, pembagian data latih dan data uji, serta pembangunan model LSTM. Analisis time series menggunakan Augmented Dickey-Fuller (ADF), Autocorrelation Function (ACF), dan Partial Autocorrelation Function (PACF) dilakukan untuk mengidentifikasi karakteristik data. Evaluasi model menggunakan Mean Absolute Error (MAE), Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE), dan koefisien determinasi (R²), serta dibandingkan dengan metode baseline regresi linear. Hasil penelitian menunjukkan bahwa model LSTM menghasilkan nilai MAPE sebesar 1,6180% dan MAE sebesar Rp507,68, sedangkan metode baseline menghasilkan MAPE sebesar 1,4083% dan MAE sebesar Rp455,90. Namun, model LSTM memperoleh nilai RMSE sebesar Rp946,43 yang sedikit lebih rendah dibandingkan baseline sebesar Rp947,43 serta nilai R² sebesar 0,8842 yang lebih tinggi dibandingkan baseline sebesar 0,8839. Hasil tersebut menunjukkan bahwa kedua model memiliki performa yang kompetitif dengan keunggulan pada metrik evaluasi yang berbeda. Penelitian ini memberikan kontribusi dalam penerapan metode LSTM untuk peramalan harga ayam broiler harian di Kabupaten Deli Serdang.
PENERAPAN METODE RAD UNTUK PENGEMBANGAN SISTEM PENGELOLAAN DATA KEPEGAWAIAN T. Tanzil Azhari Risky; Armansyah
Jurnal Komputer dan Teknologi Vol 5 No 1 (2026): JUKOMTEK JANUARI 2026
Publisher : Yayasan Pendidikan Cahaya Budaya Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64626/jukomtek.v5i1.548

Abstract

Employee data management at the Medan Religious Training Center includes personal data, employment documents, educational history, work history, performance, and family data, requiring an integrated system for fast and accurate recording, updating, and reporting. This study developed a web-based Personnel Management Information System using the Rapid Application Development (RAD) method through needs analysis, prototyping, user evaluation, and implementation. Research data was obtained through observation, interviews, SOP document studies, and user questionnaires. The results showed that the system was able to integrate all personnel data, provide verification features, and generate PDF and Excel reports. Black Box testing of 10 main functions showed a 100% success rate with an average score of 5.0 (category “Very Good”). The system is considered feasible and effective in improving the efficiency and accuracy of personnel data management at the Medan Religious Training Center.
Perancangan Model Sistem Informasi Pengaduan Masyarakat Wily Supi Ramadani; Anggi Jelita Sitepu; Armansyah
Bianglala Informatika Vol. 13 No. 1 (2025): Maret 2025
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/bianglala.v13i1.12007

Abstract

Penelitian ini bertujuan untuk merancang model sistem informasi pengaduan masyarakatberbasis mobile di Kantor Desa Tuntungan I guna mengatasi masalah pengelolaan pengaduan yangmasih bersifat tradisional, yang menyebabkan ketidakefisienan dan kurangnya transparansi.Pendekatan yang digunakan adalah metode prototipe, dimulai dengan pengumpulan data melaluiobservasi dan wawancara untuk memahami kebutuhan pengguna. Prototipe awal dikembangkan dandiuji secara bertahap berdasarkan umpan balik pengguna, sehingga menghasilkan sistem yang lebihsesuai dengan kebutuhan masyarakat. Evaluasi kelayakan dilakukan untuk memastikan efektivitasdan kepuasan pengguna selama proses pengembangan. Model yang dihasilkan diharapkan dapatmeningkatkan efisiensi, transparansi, dan akuntabilitas dalam pengelolaan pengaduan masyarakat.Sistem ini memberikan gambaran komprehensif tentang proses pengajuan, pemrosesan, danpemantauan status pengaduan secara real-time. Berdasarkan hasil evaluasi, kelayakan model sistemmencapai 88%, menunjukkan bahwa sistem ini dapat diimplementasikan dengan baik di Kantor DesaTuntungan I. Selain itu, sistem ini diharapkan mampu memberikan manfaat signifikan bagi masyarakatdalam menyampaikan keluhan dan mendapatkan tanggapan yang cepat serta tepat waktu.
Co-Authors Abd Mukti Adnan Buyung Nasution Anggara AlFaridzi Tamba Anggi Jelita Sitepu Cici Melisma Devi Apriani Dimas Kurniawan Dita Desliani Fitri Handayani Siregar Guntur Syahputra Heri Santoso Lely Sahrani Lisma Autia M. Idris Masthura, Masthura Mhd Furqan Mhd. Galih Khairi Mia Audina Rambe Moch Iswan Perangin-angin Mohammad Al Farabi Muhammad Fathir Aulia Muhammad Ikhsan Muhammad Ikhsan Muhammad Ramadhan Nur Adillah Nur Bainatun Nisa Nurhasanah Nurhasanah Rahmat Kurniawan Razzaq H. Nur Wijaya Ridho Wahyudi Pulungan Sapri Sapri Sonia Wanda Mafriza T. Tanzil Azhari Risky Tengku Syahvina Rival Dini Wily Supi Ramadani Yenni Samri Juliati Nasution Yusnaili Budianti Yusuf Ramadhan Nasution Zepi Yarti Simpa