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All Journal JSM (Jurnal SIFO Mikroskil) Jurnal Teknologi Pendidikan Jurnal Teknologi Informasi dan Ilmu Komputer Indonesian Journal of Information System Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Pengabdian Masyarakat Indonesia Instal : Jurnal Komputer Jurnal Sains Teknologi dan Sistem Informasi Jurnal Pengabdian Kepada Masyarakat Jurnal IPTEK Bagi Masyarakat JURNAL TEKNOLOGI INFORMASI & KOMUNIKASI DALAM PENDIDIKAN Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Jurnal Pengabdian Pada Masyarakat METHABDI
Ali Akbar Lubis
Program Studi Pendidikan Teknik Elektro, Fakultas Teknik, Universitas Negeri Medan, Indonesia
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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PENGEMBANGAN APLIKASI PEMBELAJARAN ALGORITMA GLCM DAN KNN DALAM PENGENALAN PENYAKIT PADA DAUN Lubis, Ali Akbar; Dewy, Mega Silfia; Isnaini, Muhammad
JURNAL TEKNOLOGI INFORMASI & KOMUNIKASI DALAM PENDIDIKAN Vol. 10 No. 2 (2023): Desember - Jurnal Teknologi Informasi dan Komunikasi dalam Pendidikan
Publisher : Pascasarjana Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jtikp.v10i2.54010

Abstract

Abstrak: Kemajuan teknologi memberikan dampak yang besar dalam kemajuan bidang Pendidikan. Dengan kemajuan ini menyediakan sumber belajar yang beragam, salah satunya pembelajaran sebuah algoritma/metode. Terkadang sebuah implementasi sebuah algoritma atau metode tidaklah mudah. Karena prosesnya yang kompleks dan membutuhkan waktu untuk memahami langkah-langkahnya. Penelitian ini bertujuan untuk membangun sebuah aplikasi pembelajaran dalam menerapkan algoritma Gray Level Co-Occurance Matrix (GLCM) dan KNN dalam pengenalan penyakit pada daun. Algoritma GLCM (Gray Level Co-Occurance Matrix) dan KNN memproses citra yang diinput dengan pengenalan pola untuk mendeteksi penyakit yang terdapat pada tanaman. Hasil dari penelitian ini berupa aplikasi pembelajaran yang dapat menunjukkan langkah-langkah dalam proses pengenalan pola pada daun yang ditampilkan secara detail. Dengan adanya aplikasi ini maka dapat menjadi alternatif bagi masyarakat untuk mempelajari kedua algoritma ini. Kata Kunci: GLCM, KNN, aplikasi pembelajaran  Abstract: Technological advances have had a major impact on the progress of the education sector.  This progress provides various learning resources, one of which is learning an algorithm/method. Sometimes implementing an algorithm or method is not easy.  Because the process is complex and takes time to understand the steps. This research aims to build a learning application in applying the Gray Level Co-Occurance Matrix (GLCM) and KNN algorithms in recognizing disease on leaves.The GLCM (Gray Level Co-Occurance Matrix) and KNN algorithms process the input image with pattern recognition to detect diseases in plants. The results of this research are in the form of a learning application that can show the steps in the pattern recognition process on leaves which are displayed in detail.  With this application, it can be an alternative for people to learn about these two algorithms. Keywords: GLCM, KNN, Learning application
Digitalisasi Operasional UMKM Indekos: Implementasi Aplikasi Manajemen Penghuni, Pembayaran, dan Keluhan di Kota Medan Ali Akbar Lubis; Frans Mikael Sinaga; Riche, Riche; Huzaifah, Ade Sarah; Pangaribuan, Jefri Junifer
ABDIKAN: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Vol. 4 No. 4 (2025): November 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/abdikan.v4i4.6655

Abstract

MSME 'Indekos' (boarding houses) in Medan City are generally still managed manually, causing partners to face fundamental problems in service and administration. The billing process, reliant on face-to-face meetings, makes tracking payments difficult, while tenants are often late paying due to a lack of reminders. Furthermore, the absence of a documented complaint channel means owners often forget to follow up on issues. This community service (PKM) activity aimed to overcome these problems through operational digitalization. The priority problems addressed were (1) the digitalization of billing and payments to provide real-time arrears information, and (2) the provision of a documented complaint channel with status tracking. The PKM method involved Training and Mentoring for 3 'indekos' owners in Medan City. The science-and-technology (ipteks) solution, a web-based management application, was developed using the adaptive Extreme Programming (XP) methodology, allowing iterative improvements based on partner feedback. Implementation included business process mapping (Planning), application installation (Small Releases), and guided testing (Testing/Feedback). The result of this activity is a ready-to-use application (PHP/MySQL) delivered to partners, along with operational SOPs and training modules. The implementation successfully improved the owners' administrative efficiency and service transparency for tenants.
Geographic Information System for Tourism in Dairi Regency with Circular Method Hutahaean, Harvei Desmon; Ali Akbar Lubis; Rosma Siregar
Bahasa Indonesia Vol 17 No 10 (2025): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v17i10.445

Abstract

There are plenty of tours in Indonesia, however not all tourist destinations are adequately run by the local government, and associated parties are less equipped to advertise travel online. As a result, many visitors avoid tourist destinations with poorly maintained information. The solution to the issues facing the tourism industry is the Geographic Information System. Geographic information systems are created using a circular approach, which can subsequently assist potential travelers who wish to visit a location by looking for tourist attractions to visit. Travelers can view the locations they wish to visit along with maps, and related parties will also benefit from foreign exchange input from tourists. Therefore, it is anticipated that this research will result in a geographic information system that aids in recommending various tourist places that are appropriate to visit.
Optimalisasi Penggunaan Software Pengolah Kata Bagi Siswa Madrasah Aliyah Al-Washliyah Medan Ali Akbar Lubis; Muhammad Dedi Irawan
Jurnal IPTEK Bagi Masyarakat Vol 1 No 1 (2021)
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (704.732 KB) | DOI: 10.55537/jibm.v1i1.4

Abstract

Microsoft Office Word is one of the most widely used word processing applications in Indonesia. At Madrasah Aliyah Al-Washliyah, students have learned how to use Microsoft Office Word, but are limited to the basic features. In this community service, students and students of Madrasah Aliyah Al-Washliyah are trained to use the References feature in creating a table of contents and bibliography automatically. The purpose of this community service is to improve the ability of students in optimizing the use of Microsoft Office Word, especially in making a table of contents and bibliography.
Co-Authors Adi Widarma, Adi Adithya Maulana Agnes Irene Silitonga Albert - Andri Chan Andrya Tanrisiono Andy - Andy Angkasa Anna Agustiana Ariwibowo, Suminar Aulia Rizky Muhammad Hendrik Noor Asegaff Bakti Dwi Waluyo Belferik, Ronald Berto Eben Ezer Br Sibarani, Sabrina Adela Br Tarigan, Sintya Verina Florida Nirma Sanny Damanik Frans Mikael Sinaga Gohzali, Hernawati Haryono Angkasa Husnul Wasufi Siregar Hutahaean, Harvei Desmon Huzaifah, Ade Sarah Irfan Arfiandi Irpan Pardosi Lubis, Elizar Hamdan Marsangkap Silitonga Mega Silfia Dewy, Mega Silfia Megawaty Simamora Mirza Ilhami Muhammad Dedi Irawan Muhammad Isnaini Muhammad Isnaini Munthe, Andreas Nelson Sinaga Ng Poi Wong Pahala Sirait Pangaribuan, Jefri Junifer R. Mursid Rahman Sembiring, Muhammad Aulia Riche Riche Ronsen Purba Rosma Siregar Segar Napitupulu V. Immanuel Damanik Wenripin Chandra Yoakim Simamora Yudhistira Adhitya Pratama