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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal TIMES CESS (Journal of Computer Engineering, System and Science) InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi JurTI (JURNAL TEKNOLOGI INFORMASI) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Query : Jurnal Sistem Informasi METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi JURIKOM (Jurnal Riset Komputer) JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Jambura Journal of Electrical and Electronics Engineering JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) TIN: TERAPAN INFORMATIKA NUSANTARA JPM: JURNAL PENGABDIAN MASYARAKAT International Journal of Engineering, Science and Information Technology Yayasan Cita Cendikiawan Al Khwarizmi Djtechno: Jurnal Teknologi Informasi JIKEM: Jurnal Ilmu Komputer, Ekonomi dan Manajemen Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) INCODING: Journal of Informatics and Computer Science Engineering EXPLORER Prosiding Snastikom Jurnal ABDIMAS Budi Darma Journal of Practical Computer Science (JPCS) Jurnal Informatika Teknologi dan Sains (Jinteks) PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Prioritas : Jurnal Pengabdian Kepada Masyarakat Jurnal Indonesia Sosial Teknologi Jurnal Ilmu Komputer dan Sistem Informasi Jurnal Pengabdian Masyarakat (Jubdimas) CompTech : Jurnal Ilmu Komputer dan Teknologi
Rahman, Sayuti
Universitas Medan Area, Medan, Indonesia
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Penyuluhan Manfaat Pendaftaran Tanah Untuk Menjamin Kepastian Hukum di Kecamatan Wampu Kabupaten Langkat Isnaini; Adam; Sayuti Rahman; Taufik Siregar; Beby Suryani; Deseari Baeha; Wiraswan Duha
Prioritas: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 02 (2023): EDISI SEPTEMBER 2023
Publisher : Universitas Harapan Medan

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Abstract

Pendaftaran tanah merupakan instrumen hukum yang bertujuan memberikan kepastian dan perlindungan hukum bagi pemegang hak atas tanah. Namun, masih terdapat masyarakat yang belum memahami pentingnya pendaftaran tanah dan manfaat Sertifikat Hak Milik (SHM) sebagai alat bukti kepemilikan yang sah. Kegiatan pengabdian kepada masyarakat ini bertujuan meningkatkan pemahaman dan kesadaran hukum masyarakat di Kecamatan Wampu Kabupaten Langkat mengenai manfaat pendaftaran tanah dalam menjamin kepastian hukum. Kegiatan dilaksanakan pada tanggal 26–27 Agustus 2023 melalui metode ceramah dan diskusi interaktif dengan melibatkan 54 peserta. Dampak kegiatan diukur melalui perbandingan kondisi baseline dan setelah penyuluhan pada aspek pengetahuan, sikap, dan komitmen tindakan. Hasil menunjukkan adanya peningkatan signifikan pada pemahaman manfaat SHM, prosedur pendaftaran tanah, kesadaran akan kepastian hukum, serta niat mendaftarkan tanah. Kegiatan ini menunjukkan bahwa pendekatan penyuluhan hukum berbasis partisipatif efektif dalam meningkatkan literasi hukum masyarakat di bidang pertanahan. Oleh karena itu, kegiatan serupa perlu dilakukan secara berkelanjutan untuk mendukung tertib administrasi pertanahan dan meminimalkan potensi sengketa tanah.
Penguatan Legalitas UMKM Melalui Edukasi Perizinan Usaha Berbasis Partisipatif dan Berkelanjutan Terintegrasi Rafiqi; Windy Sri Wahyuni; Yuni Syahputri; Beby Suryani Fithri; Sayuti Rahman; Abdul Malik; Riki Agusetiawan
Prioritas: Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 01 (2025): EDISI MARET 2025
Publisher : Universitas Harapan Medan

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Abstract

Legalitas usaha merupakan faktor penting dalam meningkatkan daya saing dan keberlanjutan Usaha Mikro, Kecil, dan Menengah (UMKM). Namun, rendahnya literasi hukum perizinan masih menjadi kendala utama dalam pengembangan usaha di tingkat desa. Kegiatan Pengabdian kepada Masyarakat ini bertujuan memperkuat legalitas UMKM melalui edukasi perizinan usaha berbasis partisipatif dan berkelanjutan terintegrasi. Kegiatan dilaksanakan pada 11 Januari 2025 di Desa Kutomulyo, Kecamatan Biru-Biru, Kabupaten Deli Serdang, dengan metode presentasi interaktif, diskusi, simulasi pengurusan Nomor Induk Berusaha (NIB) melalui sistem Online Single Submission (OSS), serta evaluasi melalui pre-test dan post-test terhadap 36 peserta. Hasil menunjukkan peningkatan rata-rata pemahaman peserta dari 53% menjadi 84%, dengan kenaikan sebesar 31 poin pada seluruh indikator, termasuk pemahaman NIB, prosedur OSS, P-IRT, sertifikasi halal, dan manfaat legalitas usaha. Temuan ini menunjukkan bahwa pendekatan edukatif dan partisipatif efektif dalam meningkatkan literasi hukum dan kesadaran kepatuhan pelaku UMKM. Program ini berkontribusi dalam mendorong transformasi UMKM menuju usaha yang legal, profesional, dan berdaya saing.
Rancang Bangun Miniatur Sistem Alat Pengukur Standar Kebisingan Knalpot Sepeda Motor Berbasis Arduino Uno Budi Santoso; Sayuti Rahman; Arnes Sembiring
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 2 No. 1 (2023): Januari 2023
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v2i1.40

Abstract

Sound is one of the vibrations of an object where the vibration occurs around the air that propagates from all directions where the results vary and the air pressure that applies to the surface of the eardrum that hear. Motorcycles are vehicles that are often heard on the road and there are some motorcycles that have some non-standard exhausts used on these motorcycles. Based on this problem, the author designed a miniature motorcycle exhaust noise measuring device system. Using this design uses Arduino Uno as the center of control rangkian LM393 sound sensor to measure the noise level of the sound produced by the exhaust and OLED displaying the sensor value. For the application of this tool, simply close the sensor to the motorcycle exhaust that will be tested, then the sound value produced by the motorcycle will be displayed on the miniature OLED of the exhaust noise standard measuring device, to determine whether the value produced by the user can see the result on the OLED screen.
PELATIHAN PENERAPAN SISTEM PENDUKUNG KEPUTUSAN PENENTUAN JUMLAH PEMBERIAN PAKAN IKAN DI DESA MARIENDAL II Zuhanda, Muhammad Khahfi; Hartono, Hartono; Rahman, Sayuti; Sembiring, Arnes; Syah, Rahmad; Ramdan, Dadan; Aritonang, Mendarissan; Rahmadhani, Citra; Suswati, Suswati; Satria, Habib; Ongko, Erianto
JUBDIMAS ( Jurnal Pengabdian Masyarakat) Vol 5 No 1 (2026): Artikel Pengabdian Maret 2026
Publisher : Yayasan Cita Cendikiawan Al Kharizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jubdimas.v5i1.403

Abstract

This community service activity aims to improve the efficiency of fish feeding management through the implementation of a Decision Support System (DSS) using the Simple Additive Weighting (SAW) method in Mariendal II Village. The main problem faced by fish farmers is the manual feeding process based on estimation, leading to inefficiency and suboptimal fish growth. The method used in this activity is a participatory approach consisting of socialization, training, technology implementation, and evaluation. The developed system considers several criteria, including fish biomass, age, population, water quality, feeding time, and feed type. The results show that participants experienced significant improvements in knowledge and skills in using the DSS. The system successfully provided optimal feeding recommendations and was integrated with an automatic feeder, resulting in more consistent and efficient feeding practices. This activity also increased farmers’ awareness of technology adoption in aquaculture. Overall, the implementation of DSS contributes to reducing feed waste, improving productivity, and supporting sustainable fish farming practices.
Evaluasi Recursive Feature Elimination Untuk Klasifikasi Kanker Payudara Menggunakan Berbagai Algoritma Machine Learning Syarifah Yusnaini Putri; Sayuti Rahman; Nia Ramadani; Novalia Aprianti Ginting; Layla Syalsyadilla; Dedi Agustriaman Zebua
Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Vol. 8 No. 1 (2026): Edisi April
Publisher : Universitas Harapan Medan

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Abstract

Early detection of breast cancer requires classification models that are not only accurate but also efficient and interpretable. This study evaluates the effect of Recursive Feature Elimination (RFE) on the performance of several machine learning algorithms for breast cancer classification. The dataset used is the Wisconsin Diagnostic Breast Cancer (WDBC) dataset from the UCI Machine Learning Repository, consisting of 569 samples and 30 numerical features. The research stages include data preprocessing, removal of non-informative attributes, feature standardization using StandardScaler, train-test splitting with an 80:20 ratio, feature selection using Logistic Regression-based RFE, and training and testing of 11 classification algorithms. Model performance was evaluated using accuracy, precision, recall, F1-score, confusion matrix, and Receiver Operating Characteristic (ROC) curve. The results show that before feature selection, Support Vector Machine, Logistic Regression, and Voting Classifier achieved the highest accuracy of 98.25%. After applying RFE, the accuracy of these models decreased slightly to 97.37%, while the number of features was reduced from 30 to 15. Several algorithms, including Nearest Centroid, Naïve Bayes, and AdaBoost, showed improved accuracy after RFE. These findings indicate that RFE does not always improve the best model accuracy, but it can produce a more compact, efficient, and interpretable classification model.
Co-Authors Abdul Malik Adam Adinda Titania Aditya Pratama, Bayu Ady Pratama, Ramadhan Alfyanang Fattulah Andi Marwan Elhanafi Ari Usman Aritonang, Mendarissan Arnes Sembiring Arnes Sembiring Arnes Sembiring Arnes Sembiring Arnes Sembiring Arnes Sembiring Arwadi Sinuraya Asih, Munjiat Setiani Asmah Indrawati Bayu Aditya Pratama Bayu Syah, Rahmad Beby Suryani Beby Suryani Fithri Budi Santoso Budi Santoso Chairul Rizal Chairul Rizal Chiuloto, Kalvin Dadan Ramdan Daffa, Daffa Zain Shahriza Dedi Agustriaman Zebua Deseari Baeha Desi Yanti Dodi Siregar Dodi Siregar Emil Fitranshah Aliff S Erianto Ongko Eswanto, Eswanto Fera Damayanti Finta Aramita Fiqi Arfian Habib Satria Hafifah, Febri Haida Dafitri Haida Dafitri Haida Dafitri, Haida Halawa, Agung Y S Harahap, Herlina Hartono Hartono Hartono Hartono Hartono Hartono Hasibuan, Ade Zulkarnain Hasibuan, Muhammad Ridwan Hasibuan, Nasaruddin Nur Herdianto Herdianto, Herdianto Herlina Andriani Simamora Hutajulu, Olnes Yosefa Ilham Faisal Ilham Faisal Irfandi Irfandi, Irfandi Irwan Irwan Isnaini Kharunnisa Kharunnisa Layla Syalsyadilla Lili Suryati Liza, Risko Lubis, Husni lubis, ihsan M F Verri Anggriawan Manurung, Dionikxon Mardiatul Hasanah Marischa Elveny, Marischa Martini, Dewi Marwan Ramli Marwan Ramli Muchzakhir Bustari Mufida Khairani Mufida Khairani Muhammad Khahfi Zuhanda Muhammad Rizky Irwansyah Muhammad Zen Muhammad Zen, Muhammad Munadi Munadi Muzdalifah Ulfayani Nia Ramadani Novalia Aprianti Ginting Pratama, Bayu Aditya Putra, Andre Kurnia Rachmat Aulia Rachmat Aulia, Rachmat Rafiqi Rahmad B.Y Syah Rahmad Syah, Rahmad Rahmadhani, Citra Retna Astuti Kuswardani Riki Agusetiawan Risko Liza Ritonga, Iqbal Giffari Robby Darwis Rudi Salman Sembiring, Arnes Setyadi, Rahmat Arief Siregar, Rosyidah Siti Sundari Sri Eka Riyani Harahap Sultan Shidqi Sumi Khairani Suriati Suriati Suriati Suriati Suriati, Suriati Suswati suswati suswati Syarifah Yusnaini Putri Tanjung, Rino Nurcahyo Fauzi Tanjung, Shabila Shaharani Taufik Siregar Tengku Mhd Diansyah Tengku Mohd Diansyah, Tengku Mohd Ulfa Sahira Winanda, Icha Windy Sri Wahyuni Wiraswan Duha Yasir, Amru Yessi Fitri Annisah Lubis Yuni Syahputri Zealtiel, Billiam