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All Journal International Journal of Community Service Learning Jurnal Sains dan Teknologi Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Jurnal Masyarakat Indonesia Jurnal Intelek Dan Cendikiawan Nusantara
Frans Mikael Sinaga
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Aerospace Engineering Agriculture, Biological Sciences & Forestry 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 Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Veterinary Other

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Pendampingan Pembelajaran Kreatif pada Guru Menggunakan Aplikasi Interaktif Mentimeter Sophya Hadini Marpaung; Sunaryo Winardi; Frans Mikael Sinaga; Evi Juita Wailan’An; Sonya Enda Natasha S. Pandia
International Journal of Community Service Learning Vol. 9 No. 2 (2025): May
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/ijcsl.v9i2.94800

Abstract

Perkembangan era digital menuntut peningkatan kompetensi guru dalam penguasaan teknologi guna mendukung pembelajaran interaktif. Namun, masih terdapat tantangan dalam penerapan teknologi digital di dalam kelas sehingga diperlukan strategi pendampingan yang efektif. Kegiatan Pengabdian kepada Masyarakat ini bertujuan untuk menjawab tantangan tersebut dengan mengembangkan keterampilan guru dalam mengintegrasikan teknologi digital, terutama melalui platform Mentimeter dalam proses pembelajaran interaktif berbasis partisipatif. Metode pelaksanaan kegiatan terdiri atas beberapa tahapan, yaitu presentasi materi mengenai Mentimeter, demonstrasi penggunaan Mentimeter, pendampingan praktis secara langsung, diskusi interaktif, praktik kolaboratif antarguru, serta evaluasi berbasis umpan balik. Data dikumpulkan melalui dua instrumen utama, yaitu kuesioner yang diisi oleh peserta setelah pelatihan dan rekaman interaksi selama proses pembelajaran berlangsung. Data yang diperoleh kemudian dianalisis secara deskriptif untuk melihat sejauh mana perkembangan kompetensi guru dalam mengintegrasikan teknologi digital ke dalam proses pembelajaran setelah mengikuti pelatihan. Hasil pelaksanaan kegiatan menunjukkan bahwa pendampingan berbasis teknologi yang dilakukan secara daring melalui platform konferensi Ms. Teams memberikan dampak positif terhadap peningkatan keterampilan guru dalam mengintegrasikan teknologi digital ke dalam pembelajaran. Kegiatan ini memberikan kontribusi terhadap pemahaman implementasi teknologi dalam pendidikan serta rekomendasi strategis bagi institusi pendidikan dalam merancang peningkatan kompetensi tenaga pendidik di era digital masa kini.
Penggunaan Chat Gpt Sebagai Alat Bantu Dalam Proses Pembelajaran Dan Implikasinya Terhadap Motivasi Belajar Mahasiswa arya, Arya Raj Prambudi; Frans Mikael Sinaga
Jurnal Intelek Dan Cendikiawan Nusantara Vol. 1 No. 6 (2024): Desember 2024 - Januari 2025
Publisher : PT. Intelek Cendikiawan Nusantara

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Abstract

This research aims to analyze the use of GPT Chat as a tool in the learning process and its implications for student learning motivation. In an increasingly advanced digital era, artificial intelligence technology, especially Chat GPT, offers great potential in improving the quality of education, including in the context of learning in higher education. This research uses a literature study method to collect and analyze various literature related to the use of GPT Chat in education and its impact on student learning motivation. The study results show that Chat GPT can function as an effective tool in enriching learning material, providing instant feedback, and supporting independent learning. The implications of this research show that the integration of GPT Chat in the learning process has the potential to increase student involvement in academic activities and encourage more active and technology-based learning. 
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.
Upaya Peningkatan Kelola Keuangan di Kantin Dinas Pertanian Kabupaten Langkat Nurhayati; Arisman; Frans Mikael Sinaga; Ronald Belferik; Tuti Andriani; Irfan Nainggolan; Suhendra Simangunsong
Jurnal Masyarakat Indonesia (Jumas) Vol. 4 No. 03 (2025): Jurnal Masyarakat Indonesia (Jumas)
Publisher : Cattleya Darmaya Fortuna

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Abstract

The canteen is one of the key facilities that supports the activities of employees as well as visitors in government institutions. However, a frequent issue encountered is financial management, which is still recorded manually in notebooks and not properly documented. This community service program was conducted at the Canteen of the Department of Agriculture, Langkat Regency, with the aim of providing guidance in manual financial recording, cash flow management, and monthly financial reporting. The methods applied in this program included observation, socialization, training, and evaluation. The results indicated an improvement in the manager’s ability to prepare daily and monthly financial reports, understand income and expenditure flows, and implement a recording system using Microsoft Excel. Through this program, it is expected that the canteen managers will be able to maintain transparency and accountability, thereby ensuring the sustainability of the canteen’s operations effectively.
Model Data Mining untuk Penetapan Plafon Kredit dengan Algoritma C4.5 Frans Mikael Sinaga; Jefri Junifer Pangaribuan; Noor Asegaff, Aulia Rizky Muhammad Hendrik; Chandra, Wenripin; Riche, Riche
INSOLOGI: Jurnal Sains dan Teknologi Vol. 4 No. 6 (2025): Desember 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/insologi.v4i6.6656

Abstract

Manual credit limit determination in distributor companies is often subjective and inconsistent, increasing the risk of bad debts. This research aims to design an objective data mining model to support customer credit limit decisions at CV. XYZ. The method used is the Decision Tree with the C4.5 algorithm, applied to 66 historical records of customer payment data. Data analysis was performed by calculating Entropy and Information Gain values to build the decision tree, which was then validated using RapidMiner Studio software. The research successfully built a valid and consistent classification model. The "Piutang" (receivables/transaction volume per invoice) attribute was identified as the main determinant (root node), followed by the "Pembayaran" (payment history) attribute as a branch node. This model generates three interpretable decision rules, including the discovery of a risky pattern where high-volume customers with poor payment histories are associated with large credit limits. The proposed model can be implemented as a decision support tool to standardize credit policies, reduce subjectivity, and minimize the company's financial risk.
Co-Authors Ali Akbar Lubis Arisman arya, Arya Raj Prambudi Chandra, Wenripin Evi Juita Wailan’An Huzaifah, Ade Sarah Irfan Nainggolan Noor Asegaff, Aulia Rizky Muhammad Hendrik Nurhayati Pangaribuan, Jefri Junifer Riche Riche Ronald Belferik Sonya Enda Natasha S. Pandia Sophya Hadini Marpaung Suhendra Simangunsong Tuti Andriani Winardi, Sunaryo