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All Journal Jurnal TAM (Technology Acceptance Model) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Informasi dan Komputer JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Jurnal Informatika Global Jurnal Teknologi Komputer dan Sistem Informasi JPP Jurnal Kesehatan Poltekkes Palembang Ihsan: Jurnal Pengabdian Masyarakat Jurnal Sains Teknologi dan Sistem Informasi Informatics and Enginering Dedication Jurnal Teknologi Sistem Informasi Publikasi Hasil Pengabdian Kepada Masyarakat. DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY MDP Student Conference Jurnal Penelitian Sistem Informasi Journal Of Artificial Intelligence And Software Engineering Jurnal TAM (Technology Acceptance Model) JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Dafid Dafid
Program Studi Sistem Informasi, Fakultas Ilmu Komputer Dan Rekayasa, Universitas Multi Data Palembang
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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SISTEM INFORMASI MANAJEMEN HUBUNGAN PELANGGAN PADA PT. XYZ PALEMBANG Fransisca Fransisca; Imelda Imelda2; Dafid Dafid
Jurnal TAM (Technology Acceptance Model) Vol 8, No 1 (2017): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v8i1.80

Abstract

PT. XYZ is distributor and sales of mobile phone in Palembang city. PT. XYZ is not maximal for giving services to customers where it need more time in purchase order and sale products . There’s no easiness in interaction process between customer and company where company when interacting with customers only by phone and face to face. Information delivery about products, promotions, customers critique and suggestions can not informed quickly. For customer data management by this day can not used and maximized for analysing customers needs and customers purchase behaviors. In the development of this system use Iteration methodology with PHP language programming and MySQL database. The system that is being develop has feature like product order, purchase, critique and suggestions, and live chat that make communication more communicative and interactive. These system also generates customers report, best customers report, transactions report, and best sales product report. The result of this research is a design of customer relationship management system that easier PT. XYZ to manage relationship to customer
Metode WebQual 4.0 Untuk Analisis Kualitas Web Pembelajaran Dafid Dafid; Dien Novita
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 1, No 2 (2018): JTKSI
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jtksi.v1i2.566

Abstract

Web Pembelajaran merupakan sistem pembelajaran online dan interaktif sebagai bentuk layanan akademik yang diberikan oleh Perguruan Tinggi. Bahkan penggunaannya di beberapa perguruan tinggi sudah menjadi hal yang wajib dilakukan untuk meningkatkan kualitas pembelajaran. Sehubungan dengan itu, perlu adanya pengukuran untuk mengetahui kualitasnya sehingga dapat ditentukan perbaikan yang perlu dilakukan agar tetap dapat memberikan layanan pendidikan yang terbaik. Penelitian ini menggunakan metode WebQual 4.0 untuk mengukur kualitas web yang dimaksud berdasarkan persepsi dari pengguna akhir terhadap beberapa indikator yang telah ditentukan. Pengumpulan data dilakukan dengan melakukan kuesioner terhadap mahasiswa STMIK XYZ Palembang. Analisis regresi linier berganda digunakan untuk menguji hubungan antara variabel usability(U), information quality(I), interaction quality(A) dengan variabel user satisfaction(S). Hasil dari penelitian ini menunjukan korelasi positif yang cukup berarti untuk variable U dan I terhadap S dengan nilai 0,4 kk ≤ 0,7, sedangkan untuk variabel A dan S menunjukkan adanya korelasi positif yang tinggi atau kuat dengan nilai 0,7 kk ≤ 0,9.
Sistem Pendukung Keputusan Penentuan Pegawai Terbaik Menggunakan Metode TOPSIS Alexander, Jason; Dafid, Dafid
MDP Student Conference Vol 4 No 1 (2025): The 4th MDP Student Conference 2025
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v4i1.10994

Abstract

The Decision Making System plays a crucial role in the intricate and dynamic landscape of modern business. The TOPSIS method is a prominent technique within this domain, utilized to generate various alternatives by evaluating multiple criteria. In the TOPSIS framework, each criterion is assigned a weight, and the ratio between each alternative and the respective criteria is calculated. These ratios are aggregated to produce a total score, facilitating the identification of the most favorable alternative. This study elucidates the fundamental principles of TOPSIS and examines its application in business decision-making processes. This method empowers decision-makers to navigate the complexities of selecting the optimal choice amid limited and often contradictory information. The benefits of TOPSIS include its capacity to simultaneously address multiple criteria and offer a structured evaluation framework. The findings of this study can yield a ranking of employees based on specified criteria such as performance, responsibility, communication, and absenteeism, utilizing the TOPSIS approach.
Analisis Pola Pembelian Pelanggan dengan Algoritma Apriori pada Perusahaan Distributor Besi Jesisca, Jesisca; Dafid, Dafid
MDP Student Conference Vol 4 No 1 (2025): The 4th MDP Student Conference 2025
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v4i1.11095

Abstract

In the digital era, transaction data analysis has become crucial for enhancing business competitiveness. PT XYZ, a steel distributor in Palembang City, faces challenges in understanding customer purchasing patterns, which impacts the optimization of marketing strategies and sales volume. This study aims to analyze customer purchasing patterns using the Apriori algorithm to develop more effective marketing strategies. The research follows the CRISP-DM methodology, which includes data collection, cleaning, analysis, and visualization through an interactive dashboard. Sales transaction data from August 2023 to August 2024 is analyzed to identify frequently purchased product combinations. The results indicate that the Apriori algorithm generates association rules that can be leveraged to design bundling packages that align with customer preferences. With the interactive dashboard, the analysis results can be visually presented, supporting faster and more accurate business decision-making. This study offers a data-driven strategy to improve operational efficiency, optimize sales, and strengthen the company's competitiveness.
Pelatihan Peningkatan Pengetahuan Artificial Intelligence Untuk Pengembagan Kurikulum Pembelajaran Guru-Guru SMA Kota Prabumulih Dafid, Dafid; Artina, Nyimas; Keristin, Usniawati; Rachmadi, Muhammad
IHSAN : JURNAL PENGABDIAN MASYARAKAT Vol 7, No 1 (2025): Ihsan: Jurnal Pengabdian Masyarakat (April)
Publisher : University of Muhammadiyah Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/ihsan.v7i1.23830

Abstract

Artificial Intelligence (AI) menjadi salah satu bidang yang semakin relevan dalam dunia pendidikan, khususnya dalam pengembangan kurikulum yang adaptif dan inovatif. Guru sebagai penggerak utama pembelajaran perlu memiliki pemahaman yang memadai tentang AI agar dapat mengintegrasikannya secara efektif dalam proses belajar-mengajar. Kegiatan pengabdian ini bertujuan untuk meningkatkan pengetahuan guru SMA di Kota Prabumulih tentang konsep, aplikasi, dan dampak AI dalam pendidikan. Pelatihan dilakukan melalui pendekatan berbasis praktik dan studi kasus, sehingga peserta dapat memahami cara mengimplementasikan AI dalam kurikulum sekolah. Hasil evaluasi menunjukkan peningkatan pemahaman guru terhadap AI dan kesiapan mereka dalam merancang pembelajaran berbasis teknologi. Diharapkan, kegiatan ini dapat menjadi langkah awal dalam transformasi pendidikan berbasis AI di sekolah-sekolah menengah.
Application of K-Means Clustering Algorithm for Disease Grouping at Blessing Dental Care Clinic Fransiska, Cintiya Aulya; Dafid, Dafid
Journal of Artificial Intelligence and Software Engineering Vol 5, No 3 (2025): September
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Blessing Dental Care Clinic is a clinic that provides dental practice services and general practitioner practices located in Palembang. This clinic offers general care and dental care managed by experienced doctors in their fields. The focus of the data used is medical record data, especially from general practice. Grouping large data into several groups based on similar pattern characteristics by utilizing the K-Means Clustering algorithm in CRISP-DM data mining was chosen to be more effective in handling various complaints of various diseases through the Clustering process. The results showed that the form of cluster 1 was 220 dominant data in the respiratory disease category, cluster 2 was 335 dominant data in the cardiovascular disease category, cluster 3 was 584 dominant data in the cardiovascular disease category, cluster 4 was 363 dominant data in respiratory disease, cluster 5 was 70 dominant data in respiratory disease, cluster 6 was 254 dominant data in cardiovascular disease and cluster 7 was 165 dominant data in ENT disease. In cluster 7 with an SSE value of 3189.16, the decrease is getting smaller and the spread pattern is starting to be optimal with a tendency for the pattern to be more spread out.
PENERAPAN DATA MINING ASOSIASI DALAM MENGANALISIS DATA PENJUALAN UNTUK MENINGKATKAN STRATEGI PENJUALAN PADA PD JUMBO Wilhelmus, Aloysius Michael; 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.
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.
Co-Authors Alexander, Jason Daniel Udjulawa Dien Novita Dorie P. Kesuma Farisi, Ahmad Fransisca Fransisca Fransiska, Cintiya Aulya Imelda Imelda2 Inayatullah, Inayatullah Indah Aprilia Jesisca, Jesisca Johannes Petrus Keristin, Usniawati M. Haviz Irfani Mardiani Mardiani Markopa, Andre Muhammad Akbar Muhammad Rachmadi, Muhammad Muliawan, Steven Nyimas Artina Rais, Falatehan Revina Trisna Aini Rizani Teguh Santosa, Stefen Wijaya Sherly Valentina Steven Steven Tinezia Octavia Triyana Widya Ningrum Valensia Valensia Veratiwi Veratiwi Veratiwi, Veratiwi Wahyu Sudrajat Wilhelmus, Aloysius Michael Wiwik Handayani Yulistia Yulistia