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All Journal Majalah Ilmiah Warta Dharmawangsa Jurnal Pengabdian Masyarakat (ABDIRA) DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Journal of Computer Science Artificial Intelligence and Communications Proceedings of The International Conference on Computer Science, Engineering, Social Sciences, and Multidisciplinary Studies
Rahman, M. Arif
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Religion Aerospace Engineering Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Nursing Social Sciences Other

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Analisa Sistem Informasi Pengadaan PT. Medis Komplet Indonesia Situmeang, Nita Sari Repelita; Elyas, Ananda Hadi; Rahman, M. Arif
DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Vol 4, No 1 (2023)
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/device.v4i1.3435

Abstract

 Penulisan Tugas Akhir ini bertujuan untuk menciptakan ”Sistem Informasi Pengadaan Barang Pada perusahaan PT. MEDIS KOMPLET I NDONESIA ” agar dapat memudahkan proses pengadaan barang atas permintaan barang oleh petugas tehnical. Dengan demikian, pencatatan kegiatan pengadaan dapat dilakukan dengan lebih mudah. Adapun program yang di gunakan dalam tugas akhir ini adalah dengan menggunakan bahasa pemograman Microsoft Visual Studio 2008 sebagai antar muka (interfacace). Sql Server 2000 sebagai Basis data serta Crystal Report 8. 5 untuk pembuatan laporan permintaan barang, laporan pengadaan barang yang bertujuan untuk dijadikan alternative atas penyelesaian permasalahan data yang selama ini dihadapi. uji coba yang dilakukan untuk aplikasi ini dengan menggunakan program apakah sudah sesuai dengan yang di maksud dalam perancangan syste m dan verifikasi untuk memeriksa apakah masih ada kesalahan program yang di buat. Hasil program menunjukan bahwa pencatatan perangkat lunak dengan basis data yang terhubung sehingga dapat menyimpan berbagai arsip dan informasi yang di butuhkan oleh perusahaan . Aplikasi ini mencakup system pengadaan barang , stok barang dan penginputan data melalui komputerisasi.
Penerapan metode least square pada sistem forecasting persediann stok bakso kampoeng mas qirun berbasis website Alhamda, M Hafiz; Elyas, Ananda Hadi; Rahman, M. Arif
DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Vol 5, No 2: DESEMBER 2024
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/device.v5i2.4910

Abstract

Penelitian ini membahas sistem informasi peramalan (Forecasting) persediaan stok pada warung bakso kampoeng mas qirun berbasis website. Penelitian ini bertujuan untuk mengimplementasikan sistem forcasting persediaan stok bakso pada warung bakso kampoeng mas qirun. Teknik pengumpulan data yang digunakan pada penelitian ini adalah observasi, wawancara, dan studi pustaka, serta menggunakan metode Least Square. Berdasarkan hasil implementasi sistem informasi forcasting persediaan stok bakso kampoeng mas qirun berbasis web ini dapat mempermudah pihak karyawan dalam melakukan pengelolaan data barang dan memmberikan informasi stok barang yang habis maupun keseluruhan barang yang masih tersedia.
PENERAPAN METODE BARS DALAM PENILAIAN KINERJA GURU BERBASIS WEB DI MTS IT AL-FATHIN BELAWAN Zaman, Khamarul; Rahman, M. Arif; Zulham, Zulham
Jurnal Warta Dharmawangsa Vol 19, No 1 (2025)
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/wdw.v19i1.5867

Abstract

Sistem Pakar Diagnosis Penyakit Di Upt Puskesmas Belawan Menggunakan Metode Forward Chaining Sofina, Diana; Rusydi, Ibnu; Rahman, M. Arif
Jurnal Warta Dharmawangsa Vol 18, No 4 (2024)
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/wdw.v18i4.5205

Abstract

Evaluating the Impact of Knowledge Management Systems on Organizational Performance: A Technology Company Case Yasir, Amru; Apriadi, Deni; Siregar, Muhammad Noor Hasan; Handoko, Divi; Rahman, M. Arif
Journal of Computer Science, Artificial Intelligence and Communications Vol 2 No 1 (2025): May 2025
Publisher : Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/jocsaic.v2i1.27

Abstract

This study aims to evaluate the impact of Knowledge Management Systems (KMS) on organizational performance within a technology company. In the digital era, knowledge has become a critical asset that drives innovation, efficiency, and competitive advantage. By leveraging a case study approach, the research examines how the implementation of KMS influences various performance indicators, including productivity, decision-making quality, employee collaboration, and knowledge retention. Data were collected through interviews, observations, and internal documents, and analyzed using a mixed-method approach. The findings suggest that effective use of KMS significantly improves organizational agility and innovation capabilities. However, the study also identifies challenges such as resistance to change, lack of user training, and insufficient integration with existing workflows. To maximize the benefits of KMS, organizations must foster a knowledge-sharing culture, provide ongoing support, and align KMS strategies with business objectives. The insights from this research are expected to contribute to the development of more effective knowledge management practices in technology-based organizations.
Penerapan Konsep Ekonomi Sirkular Dalam Pengelolaan Sampah Untuk Menunjang Green Economy di Desa Nelayan Kondangmerak, Kabupaten Malang Setyawan, Fahreza Okta; Yona, Defri; Rahman, M. Arif; Firdaus, Naufal; Risqi, Mohammad Aditya
Jurnal Pengabdian Masyarakat (ABDIRA) Vol 4, No 1 (2024): Abdira, Januari
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdira.v4i1.410

Abstract

Waste management remains a challenge in Indonesia to this day. Several regions, including the fishing village of Kondangmerak in Malang Regency, East Java, still face obstacles in the waste disposal process. Due to its distance from the village's administrative center, 20 households in Kondangmerak are compelled to manage their own waste. Efforts involve waste incineration, but this poses new issues due to incomplete combustion. The objective of this initiative is to enhance the knowledge and well-being of the community through waste management activities. Various methods are employed, such as waste management and recycling training, the creation of plastic bottle waste bins, and the development of infographic banners on waste. The outcomes encompass improved community skills in waste management, the utilization of dedicated plastic waste bins, and the dissemination of information through infographic banners at various locations along the Kondangmerak Beach.
Fundamental Models of Digital Stimulus on Consumer Purchasing Decisions: Implications For AI-Based Marketing Strategies and The Digital Economy Nasution, Umar Hamdan; Zahri, Cut; Rahman, M. Arif
Proceedings of The International Conference on Computer Science, Engineering, Social Science, and Multi-Disciplinary Studies Vol. 1 (2025)
Publisher : CV Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/cessmuds.v1.11

Abstract

This research aims to develop a fundamental model that links digital stimulus to consumer purchasing decisions, with AI-based marketing strategies as a moderator variable. The development of digital technology has revolutionized consumer behavior in the purchase decision-making process. Digital stimuli, such as personalized advertising, artificial intelligence-based interactions (including chatbots and virtual assistants), automated product recommendations, and interactive UI/UX designs, are increasingly influencing consumer preferences. However, research that comprehensively examines the relationship between digital stimulus, AI-based marketing strategies, and purchasing decisions is still limited, especially in Indonesia. The novelty of this research lies in the integration of consumer behavior analysis with machine learning approaches to validate prediction models of purchase decisions. The method employed was a survey of 420 active digital consumers, followed by Partial Least Squares Structural Equation Modeling (PLS-SEM) analysis and algorithmic validation using Random Forest and Gradient Boosting. The results show that personalized advertising and UI/UX design have a significant positive effect on purchase intent, which is further the primary determinant of purchase decisions. Machine learning-based pricing strategies have been demonstrated to enhance the effectiveness of personalized advertising. At the same time, AI interactions, product recommendations, sentiment analysis, and customer engagement moderation are not significant. Algorithmic validation confirms a very high prediction accuracy (96.9%–98.3%), indicating that the model reliably maps the behavior patterns of digital consumers. Theoretically, this study enriches the literature on digital consumer behavior while providing practical recommendations for e-commerce to optimize ad personalization, enhance UI/UX design, and leverage AI-based pricing strategies. The implications of this research are also relevant for regulators in strengthening ethical policies and developing the national digital economy ecosystem
Co-Authors Alhamda, M Hafiz Cut Zahri, Cut Defri Yona Deni Apriadi Elyas, Ananda Hadi Firdaus, Naufal Handoko, Divi Ibnu Rusydi Muhammad Noor Hasan Siregar Nasution, Umar Hamdan Risqi, Mohammad Aditya Setyawan, Fahreza Okta Situmeang, Nita Sari Repelita Sofina, Diana Yasir, Amru Zaman, Khamarul Zulham, Zulham