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PELATIHAN PENGGUNAAN PLATFORM MICROSOFT SEBAGAI MEDIA PEMBELAJARAN DARING Gohzali, Hernawati; Lubis, Ali Akbar
Jurnal Pengabdian Pada Masyarakat METHABDI Vol 3 No 2 (2023): Jurnal Pengabdian Pada Masyarakat METHABDI
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methabdi.Vol3No2.pp159-165

Abstract

The unconducive pandemic situation has greatly affected various aspects of human life, including education. Learning that used to be done face-to-face must change to online learning. Online learning is distance learning based on internet network technology such as video conference, video call or text chat. The ability to use devices that can support the online learning process is needed by students in order to have a better learning experience. An application that can facilitate students in collaborating, communicating, and sharing learning documents is Microsoft Teams. Based on the results of the perception test conducted, it was found that the participants were familiar with several software that support online learning process. But for Microsoft platform itself, they are not familiar with and understand its use. To overcome the students' problems, a service activity was carried out to provide training on the use of Microsoft Teams application. Training activities were carried out twice and the evaluation process was carried out by giving assignments and working on pre-test and post-test questions. Various features from Microsoft are used by the students for online learning, including conversation features, meeting, cloud storage (onedrive), collaboration on the same worksheet in Microsoft Office, and so on. From the results of working on pre-test and post-test questions, it shows that there is an increase in students' skills in using the Microsoft Teams application.
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.