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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) CESS (Journal of Computer Engineering, System and Science) Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Teknologi Sistem Informasi dan Aplikasi JOURNAL OF SCIENCE AND SOCIAL RESEARCH Journal of Information Systems and Informatics JTIK (Jurnal Teknik Informatika Kaputama) Journal of Applied Science, Engineering, Technology, and Education Journal of Computer Networks, Architecture and High Performance Computing Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal IPTEK Bagi Masyarakat Journal of Computer Science and Informatics Engineering Edu Society: Jurnal Pendidikan, Ilmu Sosial dan Pengabdian Kepada Masyarakat Malcom: Indonesian Journal of Machine Learning and Computer Science
Fakhriza, M.
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering Physics Public Health Social Sciences Other

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Implementasi Algoritma K-Means Clustering untuk Penilaian Kinerja Anggota Organisasi Rangkuti, Syawaliah Putri; Fakhriza, M.
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 11, No 2 (2025): Volume 11 No 2
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v11i2.96420

Abstract

Organisasi Pramuka Madrasah Aliyah Laboratorium UINSU menghadapi tantangan dalam melakukan evaluasi kinerja anggotanya secara objektif. Penempatan anggota yang tidak sesuai dengan kompetensinya menyebabkan ketidakefisienan kerja dan menurunnya motivasi organisasi. Penelitian ini bertujuan untuk membangun sistem penilaian kinerja berbasis algoritma K-Means Clustering dengan menggunakan Kamus Kompetensi Spencer sebagai indikator penilaian. Data diperoleh dari 80 anggota aktif melalui form penilaian dan, lalu diolah menggunakan bahasa pemrograman Python dan dijalankan di Google Colaboratory. Metode Elbow digunakan untuk menentukan jumlah optimal cluster. Hasil penelitian menunjukkan bahwa anggota berhasil dikelompokkan ke dalam tiga kategori utama: anggota dengan kinerja sangat baik, baik dan cukup. Sistem ini terbukti mampu meningkatkan objektivitas dalam evaluasi, mempermudah pengambilan keputusan, serta memberikan dasar pengembangan potensi anggota secara tepat sasaran.
Algoritma Decision Tree dalam Menentukan Rekomendasi Pakaian Berdasarkan Fitur Fisik dan Preferensi Gaya Silalahi, Dinah Makhroza; Fakhriza, M.
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 11, No 2 (2025): Volume 11 No 2
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v11i2.97413

Abstract

Banyak individu mengalami kesulitan dalam memilih pakaian yang sesuai dengan karakteristik fisik dan preferensi gaya pribadi, sehingga sering menimbulkan ketidakpuasan dalam penampilan. Permasalahan ini menuntut adanya solusi berbasis data yang mampu memberikan rekomendasi secara objektif. Penelitian ini mengembangkan sistem rekomendasi pakaian berbasis web dengan algoritma decision tree, yang menggunakan lima atribut utama yaitu jenis kelamin, tinggi badan, berat badan, warna kulit (skintone), dan gaya berpakaian. Dataset yang digunakan berjumlah 180 kombinasi data hasil studi pustaka, referensi fashion, serta validasi melalui wawancara dengan ahli. Model Decision Tree dibangun dengan perhitungan Entropy dan Information Gain sehingga menghasilkan struktur pohon keputusan dengan atribut "style" sebagai faktor dominan dalam klasifikasi. Pengujian dilakukan dengan 3 data uji baru, dan hasil evaluasi menggunakan Confusion Matrix menunjukkan tingkat akurasi sebesar 100%. Selain itu, uji coba responden melalui kuesioner menunjukkan bahwa mayoritas pengguna merasa puas terhadap kualitas rekomendasi dan kemudahan penggunaan sistem. Hasil ini membuktikan bahwa sistem yang dikembangkan tidak hanya mampu meningkatkan objektivitas dalam pemilihan pakaian, tetapi juga memberikan pengalaman yang lebih praktis dan personal bagi pengguna.
Apriori Algorithm to Predict Availability of Beauty Products Hasibuan, Maria Hikmah; Fakhriza, M.
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4259

Abstract

This study introduces the Apriori algorithm in beauty product availability prediction system as a solution to enhance stock prediction accuracy and mitigate inventory risks in the beauty industry. By applying data mining technology, specifically the Apriori algorithm, Kazana Kosmetik aims to gain insights into consumer purchasing patterns to optimize operations. The research analyzes transaction data to identify key buying patterns and improve stock management strategies. The results reveal seven main purchasing patterns with an average confidence value of 0.414, offering valuable guidance for Kazana Kosmetik in inventory control and marketing tactics. By leveraging data mining techniques, companies like Kazana Kosmetik can streamline sales strategies and enhance customer satisfaction. This research underscores the effectiveness of the Apriori algorithm in predicting beauty product availability and its potential to revolutionize operational efficiency in the cosmetics market.
ROC and COPRAS Algorithms in a Decision Support System for Employee Career Assessment Ritonga, Fazrul Umri; Fakhriza, M.; Harahap, Aninda Muliani
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 4 (2024): Articles Research October 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i4.4716

Abstract

PT. Union Confectionery, a long-established company in the confectionery production industry, had encountered significant challenges in managing employee career progression, including transfers, demotions, and promotions. The primary issue faced was the difficulty in conducting objective employee performance assessments and determining the appropriate criteria for career development. These assessments involved various complex factors such as work experience, discipline, education level, age, job performance, attendance, teamwork, and work ethics. To address these challenges, this study proposed the implementation of a web-based Decision Support System (DSS) utilizing the Rank Order Centroid (ROC) method for criteria weighting and the Complex Proportional Assessment (COPRAS) method for ranking decisions. The implementation of this system was expected to assist the management of PT. Union Confectionery in making more accurate and transparent decisions, while also improving employee satisfaction and operational efficiency. This research also compared previous studies that used similar methods for performance assessment, albeit with a narrower focus, specifically at the supervisory level. The findings from this study were anticipated to provide a comprehensive and innovative solution for employee career management across all levels of PT. Union Confectionery’s organization, as well as contribute to the development of more effective human resource management practices.
Mobile Platform for Building Applications at the Integrated Services Office Medan City Astuti, Andriani Dwi; Fakhriza, M.; Harahap, Aninda Muliani
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 4 (2024): Articles Research October 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i4.4769

Abstract

The advancement of computer technology has developed rapidly and has been applied in various aspects of life. At that time, computers were considered one of the most efficient tools in supporting technological development. At the Office of Investment and One-Stop Integrated Services (OI-OIS) in Medan City, the process of applying for Building Permits (BP) was still conducted manually and had not been computerized, resulting in slow and inefficient licensing processes. Applicants were required to fill out forms manually and deliver physical documents to the village and sub-district offices, which extended processing times. Furthermore, application reports were often piled up, hindering prompt and accurate handling. The lack of efficiency in managing applicant data further exacerbated the situation and slowed down the completion of applications. Therefore, an integrated digital system was needed to expedite and facilitate the submission and management of IMB applications. This research aimed to develop an Android-based Information System for Building Permit Applications at DPMPTSP in Medan City using the R&D (Research and Development) method. It was hoped that this application would make it easier for staff to manage IMB application data. The research results indicated that the development of the Android-based Information System for Building Permit Applications successfully addressed the issues encountered in the previously manual IMB application process. This application expedited and simplified the filling out and submission of applications, eliminating the need for applicants to deliver physical documents. Additionally, the management of applicant data became more efficient and computerized, reducing the backlog of reports and speeding up the verification process.
The Application of the FMADM Electre Algorithm in Diagnosing the Level of Drug Addiction in Adolescents Muchain, Alfira Nafhan; Zufria, Ilka; Fakhriza, M.
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 1 (2025): Article Research January 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i1.5151

Abstract

Drug abuse among adolescents was difficult to identify early without official examinations, while manual methods were often inaccurate. The process of determining rehabilitation also faced challenges due to the lack of technology-based support systems capable of effectively analyzing the level of addiction and type of drug used, resulting in rehabilitation that was often not well-targeted. To address this issue, the algorithm was utilized to diagnose drug addiction in adolescents by providing scores or rankings indicating addiction levels: scores of 1 and 2 represented mild addiction, 3 and 4 indicated moderate addiction, and 5 or higher represented severe addiction. The FMADM-ELECTRE algorithm recommended various types of rehabilitation actions for recovery. It offered precise evaluation ranges and scores, simplifying the classification and determination of appropriate detoxification measures for each type of drug-addicted adolescent. This system classified three levels of drug addiction among adolescents, corresponding to three stages of rehabilitation for drug addicts: non-medical (social) rehabilitation, medical rehabilitation (detoxification), and aftercare (post-rehabilitation). Additionally, the web-based support system was designed to be accessible across various devices, including laptops, computers, tablets, and smartphones, facilitating quicker and more efficient decision-making for relevant institutions. This approach also integrated multi-criteria methods to ensure fairness and accuracy in analysis, supporting a comprehensive rehabilitation process.
Sistem Informasi Pemesanan Produk Teh Menggunakan Midtrans Payment Gateway Berbasis Android Haerani, Sintia; Fakhriza, M.
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 1 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i1.38270

Abstract

The development of technology today is very rapid, thus encouraging people to use technology more developed. Nowadays, marketing systems and product promotion via the internet are experiencing rapid growth. Many companies use information technology as a corporate strategy to provide products to all consumers without limiting space and time. marketing of tea products carried out by PTPN IV is less efficient because it is only distributed in supermarkets and minimarkets. the lack of marketing to the public such as shop owners or wholesalers makes it difficult for consumers to reach these tea products, especially consumers who are far from supermarkets or minimarkets. by building a tea product ordering information system integrated with midtrans payment gateway. With the construction of this system consumers can make purchases directly to the center and can make direct payments with the payment methods provided by midtrans. this system can minimize existing problems related to ordering and marketing. This system allows the admin to easily manage marketing and ordering data. For consumers (users) can better maintain the security of order data.
Sistem Informasi Pemesanan Produk Teh Menggunakan Midtrans Payment Gateway Berbasis Android Haerani, Sintia; Fakhriza, M.
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 1 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i1.39282

Abstract

Currently, the system of marketing and product promotion via the internet is experiencing rapid growth. Many companies use information technology as a corporate strategy to provide products to all consumers without limiting space and time. From large companies to small and medium businesses have made online sales systems as cheap and affordable promotional facilities. With advances in technology, business people can certainly take advantage and minimize the impact that will occur. Tea garden factories can use consumers' smartphones to order products and payments directly from the application, making it easier and shorter the waiting time for consumers. Tea plantation factories can also cooperate with Midtrans as a third-party payment gateway in transactions with their consumers. The factory can also control the flow of transactions and revenue volume on the Midtrans website in real time without having to wait for employees to make daily bookkeeping. The development method used is the RAD method. The goal is to minimize existing problems and better maintain the safety of consumers.
SISTEM INFORMASI MANAJEMEN STOK BARANG PADA PEMELIHARAAN MESIN RUBBER TYRED GANTRY (RTG) DI PT PELINDO Ardiansyah, Angga; Fakhriza, M.; Sinaga, Imam Adlin
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 8 No. 2 (2024): Volume 8, Nomor 2, Juli 2024
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v8i2.849

Abstract

PT. Pelindo sebuah perusahaan yang bergerak dalam bidang jasa kepelabuhan yang merupakan operator pelabuhan terbesar di Indonesia. PT. Pelindo memiliki beberapa gudang yang menjadi pendukung kegiatan perusahaan. Berdasarkan hasil pengamatan dan wawancara yang dilakukan peneliti dengan kepala gudang di gudang Rubber Tyred Gantry (RTG), diketahui beberapa permasalahan persediaan stok barang pada saat proses pemeliharaan mesin yaitu terjadinya kekosongan stok barang dikarenakan lamanya proses pembelian stok barang yang berdampak terhadap kinerja mesin sehingga mesin tidak dapat digunakan menyebabkan konsumen kecewa. Pengembangan sistem berbasis web yang mengintegrasikan metode Reorder Point (ROP) dan Weighted Moving Average (WMA) diharapkan dapat menyelesaikan permasalahan dalam pengendalian persediaan stok barang dan pemeliharaan mesin. Sistem ini akan memungkinkan kepala gudang untuk dengan mudah mengontrol stok barang, melakukan pembelian stok secara efektif, dan menghasilkan laporan kegiatan pemeliharaan yang lebih terstruktur dan ter-update.
Penerapan Customer Satisfaction Index untuk Mengukur Tingkat Kepuasan Tamu terhadap Pelayanan di DeliHomestay Armanda, Akbar Agustama; Fakhriza, M.
CESS (Journal of Computer Engineering, System and Science) Vol. 9 No. 2 (2024): July 2024
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v9i2.61693

Abstract

Delihomestay adalah penginapan di Kecamatan Medan Deli yang bertujuan memberikan pengalaman menginap menyenangkan dengan fasilitas dan layanan berkualitas tinggi. Penelitian ini bertujuan untuk meningkatkan pemahaman tentang kepuasan tamu dan menemukan solusi untuk masalah yang dihadapi, seperti ketidakpuasan akibat kurangnya keramahan staf dan kebersihan kamar. Khususnya bagi tamu yang check-in tanpa aplikasi, mereka tidak memiliki tempat untuk menyampaikan keluhan. Oleh karena itu, diperlukan sistem penilaian online yang dianalisis menggunakan Customer Satisfaction Index (CSI) untuk mengevaluasi tingkat kepuasan tamu secara cepat dan akurat. Hasil perhitungan menggunakan metode CSI menunjukkan bahwa nilai CSI sebesar 70.22%, yang tergolong dalam kategori puas. Meskipun demikian, hasil ini menunjukkan adanya ruang untuk perbaikan lebih lanjut dalam aspek-aspek tertentu. Dengan adanya sistem penilaian online ini, tamu akan lebih mudah melakukan penilaian secara fleksibel, dan Delihomestay dapat dengan cepat mengetahui tingkat kepuasan tamunya dan mengambil langkah-langkah yang diperlukan untuk meningkatkan kualitas layanan. Penelitian ini menyimpulkan bahwa penerapan metode CSI sangat membantu dalam memantau dan meningkatkan kepuasan tamu di Delihomestay
Co-Authors Abdul Halim Hasugian Andini Wulandari Angga Ardiansyah Aninda Muliani Armanda, Akbar Agustama Astuti, Andriani Dwi Baihaqi, Abdullah Afif Baratih, Ira Iranda Isyha Br Sembiring, Nadia Dayatila, Nada Fadilla, Nurul Haerani, Sintia Hafidz, Hasbanur Harahap, Putri Sari Febrianty Hasibuan, Maria Hikmah Hasibuan, Salsabila Arifa Heri Santoso Hidayati, Lily Ilka Zufria Irawati, Cici Lubis, Desy Ramadhani Manurung, Haidar Azra Muchain, Alfira Nafhan Muhammad Dedi Irawan Nasution, Adnan Buyung Nasution, Muhammad Adnan Buyung Raissa Amanda Putri Rangkuti, Syawaliah Putri Ritonga, Fazrul Umri Salim, Putra Silalahi, Dinah Makhroza Sinaga, Imam Adlin Sitorus, Andriani Situmeang, Monica Tarigan, Putri Amelia Triutami, Anggun