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All Journal Jurnal TAM (Technology Acceptance Model) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Informasi dan Komputer Kurawal - Jurnal Teknologi, Informasi dan Industri JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Jurnal Informatika Global Jurnal Teknologi Komputer dan Sistem Informasi JPP Jurnal Kesehatan Poltekkes Palembang JATI (Jurnal Mahasiswa Teknik Informatika) Jatilima : Jurnal Multimedia Dan Teknologi Informasi Ihsan: Jurnal Pengabdian Masyarakat Jurnal Sains Teknologi dan Sistem Informasi Jurnal Pengabdian kepada Masyarakat Bina Darma Brilliance: Research of Artificial Intelligence Informatics and Enginering Dedication Jurnal Teknologi Sistem Informasi Klik - Jurnal Ilmu Komputer Jurnal Sains dan Teknologi Publikasi Hasil Pengabdian Kepada Masyarakat. Prioritas : Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmu Multidisplin DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Jurnal Teknik Mesin, Industri, Elektro dan Informatika Proceeding of International Conference Health, Science And Technology (ICOHETECH) MDP Student Conference Jurnal Penelitian Sistem Informasi Journal of Embedded Systems, Security and Intelligent Systems Journal Of Artificial Intelligence And Software Engineering Manaruko: Jurnal Pengabdian Masyarakat Jurnal Riset Multidisiplin Edukasi Journal of Informatics and Advanced Computing Jurnal TAM (Technology Acceptance Model) JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) UKMC International Conference (UKMC IC) Proceeding
Dafid
Universitas Multi Data Palembang
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PENERAPAN DATA MINING ASOSIASI DALAM MENGANALISIS DATA PENJUALAN UNTUK MENINGKATKAN STRATEGI PENJUALAN PADA PD JUMBO Aloysius Michael Wilhelmus; Dafid Dafid
DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Vol. 6 No. 2: DESEMBER 2025
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/device.v6i2.7411

Abstract

Penelitian ini membahas penerapan data mining asosiasi menggunakan algoritma apriori untuk menganalisis data transaksi penjualan di PD Jumbo, distributor makanan dan non-makanan di Palembang. PD Jumbo memiliki strategi pemasaran yang belum optimal akibat kurangnya pemanfaatan data transaksi. Tujuan penelitian ini adalah mengidentifikasi pola keterkaitan antar produk yang sering dibeli bersamaan untuk menghasilkan aturan asosiasi yang mendukung strategi promosi. Metodologi yang diterapkan di penelitian ini adalah CRISP-DM, meliputi pemahaman bisnis, pemahaman data, persiapan data, pemodelan, evaluasi, dan implementasi. Hasil analisis dengan minimum support 0,07 dan minimum confidence 0,7 menghasilkan sejumlah aturan asosiasi dengan nilai lift diatas 1, yang menunjukkan hubungan kuat antar produk. Aturan tersebut digunakan sebagai dasar rekomendasi strategi bundling produk untuk meningkatkan efektivitas promosi dan penjualan. Simpulan penelitian ini menunjukkan bahwa algoritma Apriori dapat menjadi alat bantu dalam pengambilan keputusan pemasaran berbasis data, sehingga mendukung peningkatan daya saing perusahaan.
Implementation of the Apriori Algorithm in Determining Menu Bundles at Café XYZ Lusia Evi Sinarudia; Dafid Dafid
Journal of Artificial Intelligence and Software Engineering Vol 6, No 2 (2026): Juni (OnProgress)
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v6i2.9271

Abstract

Café XYZ is a coffee shop that still faces challenges in menu management, such as the absence of a bundling strategy and the limited use of transaction data, which is currently confined to administrative functions. In fact, transaction data has the potential to be utilized in developing more targeted marketing strategies. This final project aims to implement the Apriori algorithm to analyze sales transaction data in order to identify consumer purchasing patterns and recommend appropriate menu bundles. The analysis process follows the CRISP-DM (Cross Industry Standard Process for Data Mining) approach, while the application development adopts the Waterfall method. The result of this project is a web-based dashboard application built using the Flask framework and Python programming language, which can display transaction summaries and product association analysis results in a direct and interactive manner.
PENERAPAN ALGORITMA K-MEANS CLUSTERING UNTUK PENGLOMPOKAN PASIEN BERDASARKAN DIAGNOSIS DI RUMAH SAKIT AL-RASYID PALEMBANG Nurcholis; Dafid
Jurnal Riset Multidisiplin Edukasi Vol. 3 No. 7 (2026): Jurnal Riset Multidisiplin Edukasi (Juli 2026)
Publisher : PT. Hasba Edukasi Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71282/jurmie.v3i7.2420

Abstract

The advancement of information technology has compelled hospitals to not only provide accurate and timely medical services but also to manage patient data effectively. Al Rasyid Islamic Hospital Palembang faces challenges in allocating medical personnel efficiently due to underutilization of medical record data. This study aims to develop a patient clustering system based on diagnoses using the K-Means Clustering algorithm. Utilizing outpatient medical record data from 2022 to 2024, the system groups patients based on diagnosis, age, and gender. The development process follows the CRISP-DM methodology, which includes business understanding, data understanding, data preparation, modeling, evaluation, and deployment stages. Clustering results are presented through a web-based dashboard to support hospital management in medical personnel allocation planning. This research is expected to improve the efficiency of healthcare services through data-driven analysis.
Perencanaan Strategis Sistem Informasi untuk Mendukung Integrasi Proses Bisnis pada PT Matra Digital Group Revina Trisna Aini; Dafid Dafid
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 4 No. 3 (2026): Agustus : JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v4i3.4220

Abstract

PT Matra Digital Group is a company operating in the digital and information technology sector, managing four business units: Dezainla (printing and apparel manufacturing), Mits (device repair services), Sewain (device rental), and Marco Digital Partner (digital marketing). This research was conducted to formulate a strategic information systems and information technology (IS/IT) plan capable of supporting data integration, real-time operational monitoring, and more effective management decision-making. The methodology implemented is the Ward and Peppard framework. This approach involved a profound evaluation of the external business environment (PEST and Porter's Five Forces), alongside an in-depth assessment of the organization's internal business environment (Value Chain) as well as its internal and macro IS/IT ecosystems. The study's findings indicate that the company's current information systems operate in isolation (siloed) across departments, thereby triggering data multi-interpretation and hindering operational alignment. Based on this evaluation, the outputs of this research formulate strategic recommendations for IS, IT, and IS/IT governance, as well as an application portfolio mapped via the McFarlan Strategic Grid. The primary implementation focus is directed toward an ERP-like Integrated Information System, a Business Intelligence Dashboard, and an Integrated Financial System, which are projected to accelerate the company's long-term digital governance.
The Effect of WebQual 4.0 Dimensions on SIMPONI User Satisfaction Chriestina Chriestina; Ahmad Farisi; Dafid Dafid; Adit Jansa
Brilliance: Research of Artificial Intelligence Vol. 6 No. 3 (2026): Brilliance: Research of Artificial Intelligence, Article Research August 2026
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v6i3.9452

Abstract

Universities increasingly run academic administration through dedicated web applications, yet the quality of these non-learning systems is rarely evaluated from the student's point of view. SIMPONI, the web-based academic administration application used at Universitas Multi Data Palembang, is one such case: students rely on it for course schedules, service requests, and attendance records, but its perceived quality had not previously been measured. This study analyzes the effect of the three WebQual 4.0 dimensions, usability quality, information quality, and service interaction quality, on user satisfaction with SIMPONI. A questionnaire covering sixteen WebQual 4.0 items and one satisfaction item was distributed by random sampling among 1,878 active users of SIMPONI version 1.46.4, yielding 236 usable responses. All items passed validity testing (corrected item-total correlation 0.694-0.859 against an r-table of 0.1277) and reliability testing (Cronbach's alpha of 0.957), after which the data were analyzed with multiple linear regression in SPSS. Usability quality, information quality, and service interaction quality each had a positive, significant effect on user satisfaction (p < .001 for all three) and jointly accounted for 59.3 percent of its variance. Usability quality carried the largest weight, with a standardized beta of 0.322. SIMPONI is well regarded by the students who use it, particularly for ease of use, while its service interaction quality is the dimension with the most room to improve. The study extends WebQual 4.0 research beyond e-learning platforms into non-LMS academic administration systems and gives SIMPONI's developers an evidence-based starting point for future development.
Sensitivity Analysis of Weight Normalization Schemes in McCall-Based Software Quality Measurement Ahmad Farisi; Dafid
Journal of Embedded Systems, Security and Intelligent Systems Vol 7 No 3 (2026): September 2026
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v7i3.11711

Abstract

Purpose – This study examines the sensitivity of McCall-based software quality measurement to alternative weight normalization intervals and rounding configurations. It specifically evaluates whether different weighting schemes produce consistent Total Quality scores and quality classifications when the evaluated system, criteria values, and aggregation procedures remain unchanged. Design/methods/approach – A quantitative experimental design was applied to the Product Operation dimension of the McCall model using Simponi, a web-based learning management system at Universitas Multi Data Palembang, as the case study. Criteria values were obtained from 166 student respondents, while indicator importance ratings were provided by two software engineering experts. Three normalization intervals, namely 0.1–0.5, 0.1–0.4, and 0.4–0.8, were evaluated using floor and ceiling rounding configurations. The resulting scores were calculated through hierarchical weighted additive aggregation. Findings – Weight normalization substantially influenced the resulting software quality assessment. The moderate and expanded weighting schemes produced comparable Total Quality outcomes and consistently classified the evaluated system at the highest quality level, whereas the compressed weighting scheme generated a lower overall assessment and shifted the system into a lower quality category. In contrast, differences between floor and ceiling rounding configurations were negligible and did not alter the resulting quality classification. Research implications/limitations – Weight normalization should be explicitly documented and standardized to improve comparability across McCall-based evaluations. The findings are limited to the Product Operation dimension, three predefined intervals, and one academic web application. Originality/value – This study provides empirical sensitivity evidence showing that weight interval selection is a substantive methodological decision that can alter software quality interpretations, whereas rounding configurations have negligible practical effects.
Analisis Perencanaan Strategis Sistem Informasi dan Teknologi Informasi Menggunakan Metode Ward and Peppard pada PT Pro Energi Mahendra Gilang Saputra; Dafid Dafid
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 5 No. 2 (2026): Jurnal Teknik Mesin, Industri, Elektro dan Informatika
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v5i2.6101

Abstract

The rapid development of information technology encourages companies to implement integrated information systems aligned with business strategies. PT Pro Energi, as an industrial diesel fuel distribution company, faces several challenges, including suboptimal system integration, delays in operational data synchronization, and limited real-time information to support distribution processes and decision-making. This study aims to develop a Strategic Information Systems and Information Technology Planning at PT Pro Energi using the Ward and Peppard method. The research applies a qualitative approach with data collection techniques consisting of observation, interviews, and documentation studies. The analytical tools used include SWOT, Value Chain, PEST, and McFarlan Strategic Grid to identify internal and external business conditions and map the application portfolio. The results indicate that PT Pro Energi requires the development of information systems strategy, information technology strategy, and IS/IT management strategy in an integrated manner. The recommendations include the development of a distribution system integration platform, strengthening technology infrastructure, improving data security, and preparing an IS/IT development roadmap as a long-term implementation guideline. The implementation of this strategic planning is expected to improve operational efficiency, enhance distribution service quality, and support more effective data-driven decision-making.
COBIT 2019 DSS BEST PRACTICES FOR SUSTAINABLE POINT-OF-SALE SYSTEMS: A SYSTEMATIC REVIEW Alfredo Valentino Setiawan; Antonius Wahyu Sudrajat; Dafid Dafid
UKMC International Conference (UKMC IC) Proceedings Vol. 3 No. 1 (2026): Proceedings of UKMC International Conference 2026 (UKMC-IC 2026)
Publisher : Catholic University Musi Charitas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32524/ukmcic.v3i1.2303

Abstract

Food and beverage businesses increasingly depend on Point of Sale systems, yet daily Point of Sale operations are frequently conducted without formal information technology governance. This study reviews how the Control Objectives for Information and Related Technologies two thousand nineteen Deliver, Service, and Support domain has been assessed in practice and what it offers for governing Point of Sale operations. Following the Preferred Reporting Items for Systematic Reviews and Meta Analyses two thousand twenty protocol, one hundred eighty six records from Google Scholar published between two thousand twenty one and two thousand twenty six were screened, leading to thirty four peer reviewed studies being synthesized. Reported operational risks were organized using Risk and Control Self Assessment logic, linking each identified risk directly to a specific Deliver, Service, and Support control objective. Most assessed organizations currently operate at capability level one, representing performed status, or level two, representing managed status, which falls one to three levels below their target operational capability, while few studies translate assessment results into practical procedures. Three recurring risk clusters emerged: infrastructure failure, security weaknesses, and software and data integrity problems. From these findings, the study derives a comprehensive five pillar standard operating procedure framework covering domain objectives Deliver, Service, and Support zero one through Deliver, Service, and Support zero six. Because only two included studies explicitly focus on food and beverage settings, the framework should be understood as a transferable starting point requiring pilot testing in food and beverage businesses prior to broader operational deployment.
Co-Authors Adhitya Hasan Adit Jansa Adit Jansa Ahmad Farisi Albet Septrio Alexander, Jason Alfredo Valentino Setiawan Aloysius Michael Wilhelmus Antonius Wahyu Sudrajat Ayu Ummi Choirunnisa Chriestina Chriestina Chriestina Chriestina Daniel Udjulawa Dien Novita Dorie P. Kesuma Ermatita - Farisi, Ahmad Fransisca Fransisca Fransiska, Cintiya Aulya Hasan, Adhitya Idham Cholid Iis Pardesan Iis Pradesan Ilham Indra Hidayat Imelda Imelda2 Inayatullah, Inayatullah Indah Aprilia Jesisca, Jesisca Johannes Petrus Joseph Eduard Uly Loni Julianti, Revicha Sri Aren Keristin, Usniawati Lusia Evi Sinarudia M. Haviz Irfani Mahendra Gilang Saputra Mardiani Mardiani Markopa, Andre Migel Orvin Febryan Muhammad Akbar Muhammad Aldiansyah Muhammad Aldo Nugraha Muhammad Attoriq Ilham Muhammad Rachmadi, Muhammad Muhammad Roihan Jannatun Adhen Muliawan, Steven Novan Wijaya Novita Chandra Nurcholis Nyimas Artina Rais, Falatehan Revicha Sri Aren Julianti Revina Trisna Aini Revina Trisna Aini Rizani Teguh Santosa, Stefen Wijaya Sherly Valentina Siska Amelia Siti Fatimah Az Zahrah Steven Steven Syalsabilla Valentisyesa Tinezia Octavia Triyana Widya Ningrum Valensia Valensia Veratiwi Veratiwi Veratiwi, Veratiwi Wahyu Sudrajat Wijang Widhiarso Wilhelmus, Aloysius Michael Wiwik Handayani Yohannes, Yohannes Yulistia Yulistia