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All Journal Teknika Sistemasi: Jurnal Sistem Informasi ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA J-SAKTI (Jurnal Sains Komputer dan Informatika) JURIKOM (Jurnal Riset Komputer) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jusikom: Jurnal Sistem Informasi Ilmu Komputer Jurnal Ilmu Komputer dan Bisnis JTIK (Jurnal Teknik Informatika Kaputama) Journal of Computer System and Informatics (JoSYC) TIN: TERAPAN INFORMATIKA NUSANTARA Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) MEANS (Media Informasi Analisa dan Sistem) Journal of Computer Networks, Architecture and High Performance Computing Jurnal Pengabdian kepada Masyarakat Nusantara Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) JINAV: Journal of Information and Visualization Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Pendidikan dan Teknologi Indonesia Syntax: Journal of Software Engineering, Computer Science and Information Technology Journal La Multiapp Instal : Jurnal Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal IPTEK Bagi Masyarakat Jurnal Sistem Informasi Bisnis (JUNSIBI) Journal of Artificial Intelligence and Digital Business Journal Of Informatics And Busisnes Jurnal Pengabdian Masyarakat
Yusuf Ramadhan Nasution, Yusuf Ramadhan
Universitas Islam Negeri Sumatera Utara Medan
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Wahdatul Ulum Course Mobile Application Using Software Development Life Circle (SDLC) Method Nasution, Yusuf Ramadhan; Hasugian, Abdul Halim
Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i3.4092

Abstract

During a pandemic like now, ways to improve the quality of learning activities really require the application of technology and learning tools to support the process of teaching and learning activities. Technological developments make it easier to access existing learning tools. Today's learning tools must be accessible to many people and without any limitations of space and time. The application will be made as attractive and interactive as possible for its users. The application is designed to be mobile based and uses the Android operating system. Application development is supported by Google Android. The designed learning mobile device application includes syllabus, RPS, open materials and other supports. The application will be made as attractive and interactive as possible for its users. The application is designed to be mobile based and uses the Android operating system. Application development is supported by Google Android. The software development model used is the Software Development Life Circle (SDLC) model.
Application of Text File Steganography on Video using Least Bit Significant (LSB) Method Mellynda, Nabila; Nasution, Yusuf Ramadhan
Sistemasi: Jurnal Sistem Informasi Vol 13, No 2 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i2.3933

Abstract

In the era of rapid development of information technology, data security is a crucial aspect that must be considered. The transfer and storage of information involves various media, including text and video. Unfortunately, most data sent or stored tends to be vulnerable to security threats. The purpose of this research is to implement text file steganography on video using the Least Bit Significant (LSB) method that can be used to hide secret messages. The method used in this research are LSB and Waterfall development method. The results of the study concluded that the LSB algorithm can be used in the process of insertion and extraction of text messages on video, text messages in this study are text contained in a text file with the txt extension. Videos that have been inserted text messages will have an extension of mp4 and cannot be played on video file playback media, The application produced in this study can be run through a web browser application, The application in this study was built using Visual Studio Code software using the HTML and Javascript programming languages.
Analisis Sentimen Terhadap Kinerja Wakil Presiden Pada Tahun 2025 Menggunakan Metode Support Vector Machine Fani, Try; Nasution, Yusuf Ramadhan
JURNAL RISET KOMPUTER (JURIKOM) Vol. 12 No. 4 (2025): Agustus 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i4.9021

Abstract

This study examines public perception of the performance of Indonesia’s Vice President in 2025 by utilizing opinion data from social media X/Twitter. The research addresses the lack of up-to-date quantitative insights into public sentiment polarity following the inauguration, particularly regarding Gibran Rakabuming Raka, whose appointment has sparked mixed reactions. The objective of this study is to classify sentiments as positive or negative and to evaluate the performance of the classification model on a corpus of user posts. The dataset consists of 898 tweets collected using the hashtags #wapres, #Gibran, and #WapresGibran. Data processing involved cleaning the text, converting all characters to lowercase (case folding), tokenization, normalization, removal of stopwords, and stemming. Feature representation was carried out using Term Frequency–Inverse Document Frequency (TF-IDF), while modeling was performed with the Support Vector Machine (SVM) algorithm. Results show 647 tweets with positive sentiment and 251 tweets with negative sentiment, indicating a generally positive tendency while maintaining some diversity of opinion. The SVM model achieved an accuracy of 80.68%, demonstrating reliable performance on high-dimensional textual data. These findings provide a concise overview of public opinion that can serve as a reference for policymakers and government communication strategies. The study’s main contribution lies in offering empirical evidence from social media on sentiment dynamics toward the Vice President’s performance, while also highlighting the effectiveness of combining TF-IDF and SVM in contemporary political sentiment analysis.
SISTEM INFORMASI GEOGRAFIS LOKASI DISTRIBUSI USAHA MIKRO, KECIL DAN MENEGAH DI KOTA SIBOLGA MEMANFAATKAN ALGORITMA DIJKSTRA BERLANDAS ANDROID Nisah, Anisah Nasution; Nasution, Yusuf Ramadhan; Nasution, Septiana Dewi
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 8 No. 1 (2024): Volume 8, Nomor 1, Januari 2024
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v8i1.493

Abstract

Koperasi, usaha mikro, dan badan usaha merupakan badan usaha produksi yang melakukan pengawasan terhadap standar produksi bagi perorangan atau kelompok usaha.Usaha kecil dan menengah terlibat dalam produksi makanan jenis ini di kota-kota.Wisatawan yang mencari tempat berbisnis yang baik akan menemukan usaha kecil dan menengah di Sibolga Penelitian dilakukan dengan menggunakan bahasa pemrograman Java dan database MySQL, query pencarian dikembangkan untuk usaha kecil dan menengah di desa Sibolga. Tujuan dari penelitian ini adalah untuk mengembangkan GIS berbasis Android yang membantu pengunjung dan menemukan rute terpendek bagi usaha menengah dan menengah di Sibolga menggunakan Google Fire Field Shows.
Perancangan Sistem Informasi Data Project PED (Planning, engineering & Development) Telkom Regional 1 Indonesia Berbasis WEB Hanafi, Muhammad Rizky; Nasution, Yusuf Ramadhan; Nazar, Muhammad
Jurnal Ilmu Komputer dan Bisnis Vol. 15 No. 2 (2024): Vol. 15 No. 2 (2024)
Publisher : STMIK Dharmapala Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47927/jikb.v15i2.775

Abstract

Dengan banyaknya pembangunan akses jaringan oleh unit Network Deployment & Project Supervision yang di awasi oleh bagian Planning Engineering dan Deployment (PED) dikarenakan kebutuhan pengguna telekomunikasi semakin banyak,Oleh karena itu penulis berupaya untuk menemukan solusi dengan cara melakukan perancangan aplikasi dengan merancang aplikasi sistem informasi berbasis web agar dapat mengolah dan mengakses data project menjadi lebih efesien. Dengan menerapkan tampilan yang sederhana yang akan memberikan kemudahan dalam penggunaannya termasuk pada saat mengakses dan mengolah data project tersebut. Aplikasi yang dirancang merupakan bentuk suatu aplikasi berbentuk WEB yang dirancang bersama menerapkan bahasa PHP, serta database manajemen berupa sistem MySQL dan dengan tampilan interface menggunakan CSS.
SEGMENTASI PENYAKIT MATA KATARAK DENGAN METODE K-MEANS Nurdy, Ayu Mestika; Nasution, Yusuf Ramadhan; Suhardi, Suhardi
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4274

Abstract

Abstract:Cataracts are.one.ofthe.mostcommon visual impairme.nts, e.spe.ciallyamongthe.e.lde.rly. In Indone.sia, the.numbe.rofcataractpatie.ntsisalarminglyhighandpose.s a se.riouspubliche.althconce.rn. Itise.stimate.dthataround 50% of global blindne.sscase.s are.cause.dbycataracts, with approximate.ly 90% ofpatie.ntsre.siding in de.ve.lopingcountrie.s, includingIndone.sia. AccordingtoNourkinan, Indone.sia has the. highe.st numbe.rofcataractcase.s in Southe.ast Asia, with approximate.ly 2 millionindividualsaffe.cte.dandanadditional 240,000 ne.wcase.se.ach ye.ar atriskofblindne.ss. Althoughcataracts are.typicallyassociate.dwithindividualsove.rthe.age.of 55, re.ce.nttre.ndsindicate. a growingnumbe.rofcase.samongyounge.rpe.ople.age.dbe.twe.e.n 35 and 40.In re.sponse.tothisissue., thisre.se.archaimstode.signanimage.se.gme.ntationsyste.mtode.te.ctcataractdise.ase.usingthe. K-Me.ansalgorithm. The.syste.mise.xpe.cte.dtose.rve. as ane.ducationaltoolforstude.ntsand le.arne.rs tobe.tte.runde.rstandhow digital image.analysiscanbe.use.dtoide.ntifycataractsymptoms. This study utilize.s a datase.t consistingof 330 re.tinalimage.s. Base.donte.stingusing a confusionmatrix, the.se.gme.ntationproce.ssachie.ve.danaccuracyrate.of 94.84%. To furthe.rimprove.the.syste.m’spe.rformance., incre.asingthe.numbe.roftraining data isre.comme.nde.dtoe.nhance.se.gme.ntationaccuracy.  Keyword:K-Me.ansCluste.ring, Se.gme.ntation, Cataract E.ye.Dise.ase.  Abstrak: Katarak me.rupakan salah satu gangguan pe.nglihatan yang umum te.rjadi, te.rutama pada individu lanjut usia. Di Indone.sia, jumlah pe.nde.rita katarak te.rgolong tinggi dan me.njadi masalah ke.se.hatan yang cukup se.rius. Dipe.rkirakan bahwa se.kitar 50% kasus ke.butaan di dunia dise.babkanole.h katarak, dan se.kitar 90% pe.nde.ritanyabe.rada di ne.gara-ne.garabe.rke.mbang, te.rmasukIndone.sia.Be.rdasarkanpe.rnyataanNourkinan, Indone.siame.ne.mpati posisi te.ratas di Asia Te.nggarade.ngan jumlah pe.nde.rita katarak me.ncapaise.kitar 2 juta orang, dan se.tiap tahunnya te.rdapatpe.nambahanse.kitar 240 ribu kasus baru yang be.risikome.ngalamike.butaan. Walaupun umumnya dide.ritaole.h masyarakat be.rusia di atas 55 tahun, kasus katarak juga mulai banyak dite.mukan pada usia yang le.bih muda, yakni antara 35 hingga 40 tahun. Maka dari itu, pe.nulisbe.rtujuanme.mbuatsiste.mse.gme.ntasipe.nyakit mata katarak de.nganme.nggunakanme.tode.K-Me.ansuntuk me.mbantu para mahasiswa dan pe.lajar untuk me.mahamile.bih dalam te.ntang bagaimana citra mata dapat dianalisis se.carate.knis untuk me.nge.nali indikasi pe.nyakit mata katarak. Datase.t yang digunakan pe.ne.litian ini be.rjumlah 330 datase.t, be.rdasarkanpe.ngujian yang te.lah dilakukan dalam me.nse.gme.ntasime.nggunakanconfussionmatrix tingkat ke.be.rhasilan 94.84%. Untuk me.maksimalkan hasil pe.ne.litian dibutuhkan pe.nambahan jumlah data latih untuk me.ningkatkan akurasi dari prose.sse.gme.ntasi.   Kata kunci: K-Me.ansCluste.ring, Se.gme.ntasi, Pe.nyakit Mata Katarak 
IMPLEMENTASI SISTEM ABSENSI MAGANG BERBASIS GEOLOCATION MENGGUNAKAN METODE PROTOTYPING Lestari, Tiara Amanda; Al-mutawalli, Haidar; Nasution, Yusuf Ramadhan
Syntax : Journal of Software Engineering, Computer Science and Information Technology Vol 6, No 2 (2025): Desember 2025
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/syntax.v6i2.7957

Abstract

Proses absensi pada kegiatan magang sering kali masih dilakukan secara manual atau menggunakan aplikasi berbasis web yang belum dilengkapi dengan validasi lokasi secara akurat, sehingga berpotensi menimbulkan kecurangan, seperti melakukan absensi dari luar area kerja. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem absensi magang berbasis geolocation dengan menggunakan metode pengembangan Prototyping. Sistem ini memanfaatkan Geolocation API untuk memperoleh koordinat lokasi pengguna serta menggunakan arsitektur serverless Firebase Cloud Functions sebagai backend dalam memproses data kehadiran. Validasi lokasi dilakukan dengan membandingkan posisi pengguna terhadap titik lokasi kantor menggunakan perhitungan jarak berdasarkan rumus Haversine. Pengujian dilakukan melalui tiga skenario, yaitu absensi di dalam radius, di luar radius, dan saat izin lokasi ditolak. Hasil pengujian menunjukkan bahwa sistem mampu mendeteksi lokasi dengan akurasi tinggi dan menolak absensi di luar area yang ditentukan. Dengan demikian, sistem ini efektif meningkatkan keaslian data kehadiran serta mengurangi potensi kecurangan dalam absensi magang.
PENERAPAN ALGORITMA K-MEANS CLUSTERING PADA APLIKASI MENENTUKAN BERAT BADAN IDEAL Nasution, Yusuf Ramadhan; Eka, Muhammad
Algoritma: Jurnal Ilmu Komputer dan Informatika Vol 2, No 1 (2018): April 2018
Publisher : Universitas Islam Negeri Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (380.867 KB) | DOI: 10.30829/algoritma.v2i1.1620

Abstract

One application of computer technology in the medical world is to determine the ideal body weight (BMI) of a patient by comparing the body weight, height, and size of the patient's own skeleton, so doctors can determine the diet menu that is most suitable for such patients. This becomes very important, especially in the field of medicine, such as the field of beauty, athletes, or other fields that require ideal body shapes such as models, artists and so forth. This ideal body weighting system is done by the ratio of height to body weight, and the size of the patient's frame. While the K-Means Clustering algorithm is an algorithm that can classify data based on benchmark values given and calculate the data group. This system can be used to determine ideal body weight by applying BMI values as X coefficients and the patient frame size values as the Y coefficients and cluster central points are set first. However, this system still needs further development because there is no change facility to clustering data category, grouping process is shown in the form of animation, and the need of clustering category in store in one structured database. Keywords: Ideal Weight, K-Means Clustering Algorithm
Pemberdayaan Masyarakat Desa Pematang Serai melalui Pengabdian Mahasiswa Berbasis Moderasi Beragama dan Lingkungan Marpaung, Hamdan Sudirman; Al Khoir, Akhyar; Putra, Irham Prasetyo; Utami, Dian Aulya; Nasution, Yusuf Ramadhan
Jurnal IPTEK Bagi Masyarakat Vol 5 No 2 (2025)
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/j-ibm.v5i2.1333

Abstract

Community Service Program (KKN) is a form of student community service implemented as part of the Tri Dharma of Higher Education. This article discusses the implementation of KKN in Pematang Serai Village, Tanjung Pura District, Langkat Regency, North Sumatra, with a focus on the role of students in carrying out community service. The background of this activity focuses on how KKN students are able to synergize with the community and support community development in terms of economics, religion, and education. This activity aims to be a means for students to learn so they are able to face problems that occur in the community. The method used is a qualitative descriptive research approach. By actively involving the community in the planning, implementation, and evaluation of the program, this study aims to understand in depth how the KKN program has impacted the lives of village communities. The results of this activity indicate that the role of KKN students has had significant benefits for the village community. In its implementation, this also helps students understand the needs and problems of the community directly. The Community Service Program in Pematang Serai Village, which includes the Indonesian Pious Children Festival, Tabligh Akbar, Planting Movement, Fish Seed Distribution, and Compost Making, is a real effort to realize religious moderation, improve environmental quality, and empower the community.
Peramalan Stok Produk Meubel Menggunakan Metode Single Moving Average dan Exponential Smoothing Ritonga, Tomi; Nasution, Yusuf Ramadhan; Suhardi, Suhardi
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 1 (2026): Februari - April
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i1.7126

Abstract

Permasalahan perekonomian global yang terjadi dalam beberapa tahun terakhir memberikan dampak signifikan terhadap berbagai sektor industri, termasuk industri meubel. Ketidakstabilan kondisi pasar menyebabkan fluktuasi permintaan yang berdampak langsung pada perencanaan produksi dan pengelolaan persediaan barang. Kesalahan dalam memperkirakan jumlah permintaan sering menimbulkan penumpukan stok atau kekurangan barang, sehingga perusahaan berpotensi mengalami kerugian akibat biaya penyimpanan yang tinggi maupun kehilangan peluang penjualan. Kondisi ini juga terjadi pada PT. Wira Utama yang beralamat di Jl. Prof. H. M. Yamin No. 23, Gg. Buntu, Kota Medan yang bergerak di bidang penjualan meubel di Kota Medan, dimana proses peramalan sebelumnya masih dilakukan secara konvensional berdasarkan perkiraan tanpa perhitungan matematis yang terukur. Penelitian ini bertujuan untuk meramalkan kebutuhan stok dan produksi pada periode berikutnya dengan menerapkan metode Single Moving Average dan Exponential Smoothing berbasis data historis penjualan tahun 2019–2022. Kedua metode dibandingkan menggunakan parameter pengukuran kesalahan, yaitu Mean Absolute Deviation (MAD), Mean Squared Error (MSE), dan Mean Absolute Percentage Error (MAPE) untuk menentukan tingkat akurasi peramalan. Hasil penelitian menunjukkan bahwa penerapan metode peramalan berbasis time series mampu menghasilkan estimasi yang lebih objektif dan sistematis dibandingkan metode manual. Nilai rata-rata MAPE sebesar 14% menunjukkan tingkat kesalahan yang relatif rendah, sehingga model yang diterapkan dinilai layak digunakan sebagai dasar pengambilan keputusan dalam perencanaan produksi, pengendalian persediaan, dan optimalisasi manajemen stok perusahaan.
Co-Authors Abdul Halim Hasugian Akbar, Muhammad Zidan Al Farizi, Alif Al Khoir, Akhyar Al-mutawalli, Haidar Aqillah H, Sayyidah Ayu Siregar, Silviana Budiarti, Dinda Edji, Syahdani Nazwa Eka, Muhammad Fadilah Lubis, Rizki Nur Fadillah, Rini Fani, Try Fikri, Muhammad Ihsanul Hanafi, Muhammad Rizky Harahap, Ahdi Alfein Harahap, Fachrul Hanafi Harahap, Indah Uzrisa Hasibuan, Maria Hikmah Heri Santoso Hutabarat, Fatur Padilla Ibnu Rusydi Idris Siregar, Idris Ilka Zufria Lbs, Rahma Tania Mawaddah Lestari, Umi Hani Linda, Nuramal Marpaung, Hamdan Sudirman Maulida, Dzikra Mellynda, Nabila Mhd Furqan Muhamad Alda Muhammad Nazar Muhammad Siddik Hasibuan Nasution, Septiana Dewi Nisah, Anisah Nasution Nurdy, Ayu Mestika Octavia, Cindi Pasaribu, Defri Ananda Prananda, Dimas Raka Prayoga, Dio Putra, Irham Prasetyo Putri, Ajeng Kiana Rahim, Fitra Raissa Amanda Putri Ramadhan, Gema Rangkuti, M. Naufal Rifda, Rifda Ritonga, Tomi Riyadi, Bagas Yowan Rizqi Hanafi Parapat Sari, Shella Fahdila Sibarani, Fathiya Hasyifa Sinaga, Meri Suhardi Suhardi Suhardi Suhardi, Suhardi Supiyandi Supiyandi Tiara Amanda Lestari Utami, Dian Aulya Wahyu Arli Wahyu Ramadhan Wahyuda, Agung Taufik Wiranti, Yuke