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All Journal JURNAL PENGABDIAN KEPADA MASYARAKAT RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Journal of Information Technology and Computer Science (JOINTECS) Jurnal Sains Dan Teknologi (SAINTEKBU) Zero : Jurnal Sains, Matematika, dan Terapan INFOKUM Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknologi Informasi dan Komunikasi Syntax: Journal of Software Engineering, Computer Science and Information Technology Instal : Jurnal Komputer JUSTIN (Jurnal Sistem dan Teknologi Informasi) Journal of Mathematics and Scientific Computing With Applications Journal of Computer Science and Informatics Engineering Abdimas Indonesian Journal DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Jurnal Ilmiah Teknik Informatika dan Komunikasi Journal Of Informatics And Busisnes JENTIK Jurnal Ilmiah Research Student Jurnal Ilmu Komputer dan Sistem Informasi Jurnal Pengabdian Masyarakat Jurnal Media Teknik Elektro dan Komputer Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
Mhd Ikhsan Rifki
Universitas Islam Negeri Sumatera Utara
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Physics Social Sciences

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PEMODELAN ALGORITMA AHP DAN SMART PADA SISTEM REKOMENDASI PENERIMA BANTUAN RUMAH LAYAK HUNI DI DESA SIALAMBUE Hasibuan, Bunga Lestari; Hasibuan, Muhammad Siddik; Rifki, Mhd.Ikhsan
JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI Vol. 15 No. 2 (2024): September
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtikp.v15i2.894

Abstract

The Livable Home Assistance Program is determined by the Government based on Government Regulation Number 12 of 2021, namely looking at the walls of the house, roof of the house, bathroom, floor of the house and floor area of ​​the house. Sialambue Village is one of the places that receives this program, because the conditions in Sialambue Village also make it possible to participate in this program. Therefore, data collection needs to be done more objectively to get accurate data collection results. So this research was carried out using the AHP and SMART algorithms by applying them to the Matlab application
Web-Based Document Archiving Information System In Commission C DPRD Of North Sumatra Province Syamia, Nanda; Lubis, Amalina Shadrina; Nur Hera Zabni; Rifqi, Mhd Ikhsan
SAINTEKBU Vol. 16 No. 01 (2024): Vol. 16 No. 01 January 2024
Publisher : KH. A. Wahab Hasbullah University

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

Abstract

Commission C DPRD of North Sumatra Province is a commission that operates in the financial sector. In Commission C DPRD, the relationship between the budget and documents is closely related because documents are often used as a tool to record, track and present financial information. These documents assist Commission C in monitoring, evaluating and making decisions related to regional financial management. The document is an important reference to ensure transparency, accountability and efficiency of budget management in accordance with policies and community needs. The existence of documents is usually important because they record or record information that can be accessed and used as a reference in the future. Document management within Commission C DPRD of North Sumatra province still faces several obstacles, including manual processes that are vulnerable to human error, the time required to search for documents, and the risk of document loss or damage. Seeing this problem, a new system is needed that utilizes technology in the current era to deal with several obstacles related to document management. The aim is to design and implement a web-based document archiving information system at Commission C DPRD of North Sumatra province to increase efficiency, security and readability of information in document management. The research methods used in this study are Research and Development. Research and Development Research and development (R&D). This system was built by modeling several UML diagrams such as use case diagrams, activity diagrams, and class diagrams. It is hoped that Commission C DPRD of North Sumatra province can optimize document management performance and make a positive contribution to improving service quality and transparency within this institution.
IMPLEMENTASI SISTEM PAKAR DENGAN NAIVE BAYES DAN CERTAINTY FACTOR UNTUK DIAGNOSIS STROKE Theofil Rizky Fazry; Mhd Furqan; Mhd. Ikhsan Rifki
Jurnal Manajemen Teknologi Informatika Vol. 3 No. 3 (2025): Jurnal Manajemen Teknologi Informatika
Publisher : JENTIK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70038/jentik.v3i3.177

Abstract

Stroke merupakan penyakit dengan risiko tinggi terhadap kematian dan kecacatan permanen. Penelitian ini bertujuan membangun program aplikasi sistem pakar guna mengklasifikasikan jenis-jenis stroke melalui penerapan algoritma Naive Bayes dan Certainty Factor. Data penelitian diperoleh melalui wawancara dengan pakar pada RSU Full Bethesda serta studi literatur. Perancangan sistem difokuskan untuk mengidentifikasi lima varian stroke, diantaranya Transient Ischemic Attacks, stroke hemoragik intraserebral, stroke hemoragik subarachnoid, stroke iskemik trombolitik, dan stroke iskemik emboli. Implementasi dilakukan berbasis PHP dengan MySQL serta diuji menggunakan blackbox. Evaluasi diagnosis pasien menunjukkan Naive Bayes menghasilkan probabilitas 52,82% pada stroke hemoragik intraserebral pasien 1, sedangkan Certainty Factor memberikan hasil 100% pada beberapa jenis stroke. Hasil ini membuktikan Naive Bayes lebih fokus pada satu penyakit, sementara Certainty Factor lebih fleksibel dalam menampilkan kemungkinan beberapa penyakit. Sistem ini diharapkan menjadi alat bantu diagnosis awal yang efektif bagi tenaga medis.
Optimizing the use of sewing materials to maximize production output Rakhmawati, Fibri; Rifki, Mhd Ikhsan; Husein, Ismail; Cipta, Hendra; Lubis, Riri Syafitri; Sari, Rina Filia
Abdimas Indonesian Journal Vol. 5 No. 2 (2025)
Publisher : Civiliza Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59525/aij.v5i2.1043

Abstract

This Community Service Program aims to optimize the use of sewing materials to maximize production output at Rumah Jahit Nila through the application of a linear programming model in the allocation and use of sewing materials in planning and maximizing production output. The implementation methods include mapping processes and data requirements and formulating a linear programming model relevant to the scale of Nila Sewing House MSMEs, as well as training and live demonstrations using QM as software to determine optimization solutions. The evaluation was conducted on 15 participants using a 1–4 Likert scale instrument with four assessment indicators, namely, training content, presenter's subject-matter expertise, event facilities, and benefits of the program. Descriptive analysis showed an overall average of 3.43 on a scale of 4, with a percentage level of 85.8%, which is in the Very Good category. In order, the indicator achievements are Presenter’s Subject-Matter Expertise = 3.53 (88.33%), Benefits of the Program = 3.47 ( 86.67%), Training Content = 3.40 (85.00%), and Event Facilities = 3.33 (83.33%). These results confirm that the competence of the speakers and the relevance of the benefits are the main strengths, while the content and facilities of the activities are areas for priority improvement. This program has successfully improved participants' technical capacity in modeling and implementing linear program-based raw material optimization, while also providing a foundation for operational implementation to reduce waste and increase throughput.
Penerapan Algoritma K-Nearest Neighbors untuk Prediksi Negara-Negara Asia Berpotensi Lolos Piala Dunia 2026 Andrian Sahputra; Ilka Zufria; Mhd Ikhsan Rifki
DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Vol 7, No 1: JUNI 2026
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/device.v7i1.8589

Abstract

Penelitian ini bertujuan menerapkan algoritma K-Nearest Neighbors dalam memprediksi potensi kelolosan negara-negara Asia dari babak ketiga kualifikasi menuju putaran final Piala Dunia 2026. Data yang digunakan terdiri atas 36 data historis kualifikasi Piala Dunia periode 2014–2022 sebagai data latih dan 18 data peserta kualifikasi zona Asia tahun 2026 sebagai data uji. Pendekatan yang digunakan adalah kuantitatif dengan teknik data mining berdasarkan klasifikasi. Tahapan penelitian meliputi pengumpulan data, pra-pemrosesan melalui pembersihan dan transformasi fitur menjadi rasio kinerja, normalisasi data, serta pemodelan menggunakan algoritma K-Nearest Neighbors. Hasil evaluasi menunjukkan bahwa model dengan parameter k = 4 menghasilkan akurasi sebesar 83,33%, dengan performa yang baik pada kategori lolos dan tidak lolos, meskipun kategori play-off menunjukkan hasil yang lebih rendah. Nilai rata-rata makro untuk presisi , recall , dan f1-score masing-masing sebesar 0,79, 0,77, dan 0,77. Hasil prediksi menunjukkan enam negara berpotensi lolos langsung, empat negara berada di posisi play-off, dan delapan negara lainnya tidak lolos. Temuan ini menunjukkan bahwa algoritma K-Nearest Neighbors memiliki kemampuan yang cukup baik dalam memprediksi kelolosan tim berdasarkan kinerja historis.
Use of Data Visualization Techniques in Bioinformatics for Time-Based Gene Expression Pattern Analysis M. Khalil Gibran; Mhd Ikhsan Rifki; Amir Saleh
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 5 No. 2 (2025): Mei 2026
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v5i2.373

Abstract

This study explores data visualization techniques in bioinformatics for analyzing time-series gene expression patterns. It examines how different visualization approaches support the interpretation of large-scale temporal gene expression data. A dataset comprising 4,381 genes across 24 time intervals was analyzed using heatmaps, Principal Component Analysis (PCA), volcano plots, and dendrograms. Heatmaps were used to observe expression correlations, PCA was applied to reduce dimensionality, volcano plots identified differentially expressed genes between conditions, and dendrograms grouped genes with similar expression profiles. The PCA results showed that the first two principal components accounted for 42.32% of the total variance, indicating that these components captured a substantial but not complete portion of the data structure. Volcano plot analysis detected differentially expressed genes based on log2 fold change > 1 and p-value < 0.05, while dendrogram visualization revealed several major clusters with comparable temporal expression patterns. Overall, the findings suggest that combining multiple visualization methods can improve the exploratory analysis of temporal gene expression data by clarifying patterns, highlighting potentially relevant genes, and supporting further biological interpretation. Rather than serving as standalone evidence for clinical application, these visual approaches provide a useful analytical foundation for subsequent validation, biomarker investigation, and large-scale omics research.  
Pemberdayaan Usaha Mikro melalui Pelatihan Produksi Lilin Aromaterapi, Pemasaran Digital, dan Manajemen Keuangan Muhammad Bagas F; Salim Salim; Nur Azizah Lubis; Mhd Ikhsan Rifki; M. Khalil Gibran; Amir Saleh; Muhammad Arif Fadhillah Lubis; Nursiah Nursiah
Jurnal Pengabdian Masyarakat Vol. 5 No. 1 (2026): Juni 2026
Publisher : Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/japamas.v5i1.529

Abstract

Desa Bingkat, Kecamatan Pegajahan, Kabupaten Serdang Bedagai, berbasis ekonomi pertanian, namun peran perempuan dalam kegiatan produktif mandiri masih terbatas. Program pengabdian ini bertujuan memberdayakan kelompok perempuan melalui pelatihan terpadu produksi lilin aromaterapi alami, literasi pemasaran digital, dan manajemen keuangan sederhana, guna mendorong usaha mikro baru serta mendukung SDGs: pengentasan kemiskinan, kesetaraan gender, dan pekerjaan layak serta pertumbuhan ekonomi. Metode mencakup observasi awal, diskusi kebutuhan, praktik produksi, simulasi pemasaran digital via WhatsApp Business, dan pelatihan pencatatan keuangan. Peserta berjumlah 18 ibu rumah tangga. Evaluasi keberhasilan dilakukan melalui survei kepuasan empat aspek dan observasi unjuk kerja. Hasilnya, relevansi materi memperoleh 88,89% (sangat baik), kompetensi narasumber 90,28% (tertinggi), pengembangan wawasan dan kesempatan usaha 88,89% (sangat baik), serta kelayakan fasilitas 83,33% (baik). Dari sisi keterampilan, seluruh peserta mampu memproduksi lilin aromaterapi secara mandiri sesuai standar produksi. Sebanyak 15 peserta (83,33%) berhasil membuat katalog produk di WhatsApp Business dengan foto dan deskripsi, dan 14 peserta (77,78%) mampu mencatat keuangan terpisah dari rumah tangga serta menghitung harga pokok produksi. Integrasi pelatihan produksi, pemasaran digital, dan pengelolaan keuangan  diharapkan dapat membekali peserta dengan keterampilan yang mendukung kemandirian ekonomi perempuan pedesaan yang sejalan dengan agenda pembangunan berkelanjutan. Pendampingan lanjutan diperlukan untuk memastikan konsistensi penerapan dan perluasan jangkauan pasar.
KLASIFIKASI PENYAKIT PADA DAUN CABAI MENGGUNAKAN GRAY LEVEL CO-OCCURRENCE MATRIX DAN K-NEAREST NEIGHBOR Miftahul Rizky Pulungan; Mhd Furqan; Mhd Ikhsan Rifki
Syntax : Journal of Software Engineering, Computer Science and Information Technology Vol 5, No 2 (2024): Desember 2024
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/syntax.v5i2.5386

Abstract

Penyakit tanaman cabai dapat menyebabkan penurunan produksi yang signifikan, sehingga membuat keberlanjutan pertanian dan pangan. Penelitian ini mengembangkan sistem untuk mengkategorikan daun cabai menggunakan Gray Level Co-occurrence Matrix (GLCM) untuk ekstraksi tekstur dan K-Nearest Neighbors (KNN) untuk klasifikasi. Data citra daun cabai yang digunakan meliputi jenis penyakit virus mosaik cabai, layu fusarium, virus kuning, dan bercak daun. Proses tersebut meliputi pemilihan citra, ekstraksi fitur menggunakan GLCM, dan klasifikasi menggunakan KNN. Hasil penelitian menunjukkan bahwa rasio tersebut dapat mencapai hingga 90%, tergantung pada parameter K. Temuan ini penting bagi dunia pertanian, karena dapat menjadi dasar pengembangan sistem deteksi dini berbasis teknologi, sehingga petani dapat mengambil tindakan lebih cepat dan efektif dalam mengendalikan penyebaran penyakit. Implementasi metode ini memiliki potensi besar untuk meningkatkan efisiensi pengelolaan tanaman, mengurangi kerugian ekonomi, dan mendukung pertanian berkelanjutan.Kata kunci: Penyakit daun cabai, K-Nearest Neighbor, GLCM, Klasifikasi. ABSTRACT Chili plant diseases can cause significant production declines, thus making the sustainability of agriculture and food. This study develops a system to categorize chili leaves using Gray Level Co-occurrence Matrix (GLCM) for texture extraction and K-Nearest Neighbors (KNN) for classification. The chili leaf image data used includes types of chili mosaic virus diseases, fusarium wilt, yellow virus, and leaf spots. The process includes image selection, feature extraction using GLCM, and classification using KNN. The results of the study show that the ratio can reach up to 90%, depending on the K parameter. This finding is important for the world of agriculture, because it can be the basis for the development of a technology-based early detection system, so that farmers can take faster and more effective action in controlling the spread of disease. The implementation of this method has great potential to improve the efficiency of crop management, reduce economic losses, and support sustainable agriculture. Keywords: Chile leaf disease, K-Nearest Neighbor, GLCM, Classification.
PENERAPAN ALGORITMA K-MEANS DALAM ANALISIS DAN KLASIFIKASI TEKS ULASAN KEPUASAN PENGGUNA PERPUSTAKAAN Maulana Ihsan; Mhd Ikhsan Rifki
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.8276

Abstract

This study aims to analyze and classify user satisfaction review texts of the Faculty of Science and Technology (FST) Library into three categories: Dissatisfied, Satisfied, and Very Satisfied. The study used 1,096 library service survey reviews collected between 2023 and 2025 as the dataset for analysis. The research process comprises text preprocessing, such as stemming, stopword removal, tokenizing, case folding, and cleaning, and filtering), The study applied TF-IDF weighting, divided the dataset into 70:30 training and testing sets, and performed clustering with the K-Means algorithm into three clusters. The resulting clusters were assigned to satisfaction categories and evaluated using an accuracy, precision, recall, and F1-score confusion matrix. The model achieved 87.23% accuracy, 86.67% weighted precision, 87.23% weighted recall, and 86.85% weighted F1-score. These results showed that the K-Means algorithm can be used as a foundation for assessing and enhancing the quality of library services and is capable of efficiently classifying user satisfaction reviews.  
Rancang Bangun Sistem Informasi Pengelolaan Arsip Dokumen Berbasis WEB pada PT. BPRS Amanah Insan Cita Julianti, Miranda; Aulia, M. Arif; Rifki, Muhammad Ikhsan
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol. 3 No. 3 (2023): November: Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juritek.v3i3.2303

Abstract

Sistem informasi berbasis web adalah kombinasi dari teknologi informasi berdasarkan suatu situs pada jaringan internet yang dilengkapi dengan fitur-fitur dan didesain sedemikian rupa sesuai kebutuhan pada penginputan suatu data tertentu bertujuan untuk mempermudah dan mempercepat data yang diolah meskipun pengguna tersebut merupakan pemula. Perusahaan memanfaatkan perkembangan teknologi internet dan sistem Informasi yang berkembang pesat saat ini. PT. BPRS Amanah Insan Cita adalah lembaga keuangan yang kegiatannya menghimpun dana, menyediakan pembiayaan dan penempatan dana kepada masyarakat Indonesia khususnya masyarakat kota medan dan sekitarnya berdasarkan prinsip syariah dan bagi hasil yang telah disepakati kedua belah pihak baik nasabah maupun bank. Metode yang diterapkan dalam penelitian ini adalah metode waterfall yang merupakan sebuah model metode penelitian sistematis dan sequence yang layak diterapkan dalam melakukan penelitian ini karena metode ini menyajikan tahap demi tahap yang sangat sesuai dengan keadaan di lapangan. Dengan adanya sistem informasi ini, maka dapat memberikan informasi yang tepat dan cepat terkait data arsip dokumen pada PT BPRS Amanah Insan Cita.
Co-Authors Abdul Halim Hasugian Abdul Rasyid Adha Hasibuan, Aidillia Afandi Sahputra Aidil Akbar Simatupang Aidil Halim Lubis Ali Darta Amir Saleh Andilala Andrian Sahputra Aulia, M. Arif Dwi Prapita Sari Dysa Handira F, Muhammad Bagas Fadhillah Lubis, Muhammad Arif Fauzi Kurniawan Gibran, M. Khalil Haikal, Baginda Fikri Harjo, William Lutfir Rahman Harun Al Rasyid Hasibuan, Ainun Mardiah Hasibuan, Bunga Lestari Hendra Cipta Ikhwan, Ali Ilka Zufria Inneke Putri Ismail Husein, Ismail Juliana Sion Sihombing Julianti, Miranda Khairul Azis Khalil Gibran, M. Klause Roder Lubis, Amalina Shadrina Lubis, Nur Azizah M. Arif Fadhillah Lubis M. Khalil Gibran M. Khalil Gibran Maulana Ihsan Mhd Furqan Mhd Furqan Miftahul Rizky Pulungan Muhamad Alda Muhammad Ezar Raditya Muhammad Ikhsan Muhammad Ikhsan Muhammad Siddik Hasibuan Muhammad, Faisal Nasution, Fadhilah Ramadhani Nur Azizah Lubis Nur Hera Zabni Nursiah Ong, Russell Qisti Azraladiba Batubara Rakhmawati, Fibri Rambe, M. Riski Andika Rina Filia Sari, Rina Filia Rini Halila Nasution Riri Syafitri Lubis Sahputra, Andrian Salim Salim Siahaan, Ahmad Taufik Al Afkari Suhardi, Suhardi Syamia, Nanda Theofil Rizky Fazry Yusuf Ramadhan Nasution