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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA JOISIE (Journal Of Information Systems And Informatics Engineering) Informatika Indonesian Journal of Electrical Engineering and Computer Science Majalah Ilmiah UPI YPTK Journal of Computer Scine and Information Technology Jurnal Komtekinfo SATIN - Sains dan Teknologi Informasi Jurnal Pustaka Robot Sister BioHealth
M.Hafizh
Universitas Putra Indonesia
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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A hybrid data mining for predicting scholarship recipient students by combining K-means and C4.5 methods Halifia Hendri; Harkamsyah Andrianof; Riska Robianto; Hasri Awal; Okta Andrica Putra; Romi Wijaya; Aggy Pramana Gusman; Muhammad Hafizh; Muhammad Pondrinal
Indonesian Journal of Electrical Engineering and Computer Science Vol 33, No 3: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v33.i3.pp1726-1735

Abstract

This scholarly investigation delves into the strong desire for academic scholarships within the student body, especially prominent among socioeconomically disadvantaged individuals. The study aims to formulate a hybrid data mining paradigm by synergizing the K-means and C4.5 methodologies. K-means is applied for clusterization, while C4.5 facilitates prediction and decision tree instantiation. The research unfolds in sequential phases, commencing with data input and progressing through meticulous pre-processing, encompassing data selection, cleaning, and transformation. The novelty lies in successfully integrating the K-means and C4.5 methodologies, culminating in the hybrid data mining method. The dataset comprises 200 students seeking scholarships, revealing effective stratification into three clusters—cluster 0, cluster 1, and cluster 2—with 119, 48, and 33 students, respectively. The K-means method proves highly suitable, especially when combined with C4.5, for predicting scholarship recipients. A subset of 81 students from clusters 1 and 2 undergoes predictive modeling using C4.5, resulting in a commendable 85% accuracy, with 17 accurate forecasts and 3 minor inaccuracies. This research significantly enhances scholarship selection efficiency, particularly benefiting socioeconomically disadvantaged students.
Pemanfaatan IT Management untuk Kelayakan Pemberian Pinjaman pada Koperasi Serba Usaha Tunggal Jaya dengan Metode Simple Additive Weighting Reyga Primayudha T; Raja Ayu Mahessya; M. Hafizh
Jurnal Pustaka Robot Sister (Jurnal Pusat Akses Kajian Robotika, Sistem Tertanam, dan Sistem Terdistribusi) Vol 1 No 2 (2023): Jurnal Pustaka Robot Sister (Pusat Akses Kajian Robotika, Sistem Tertanam, dan Si
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakarobotsister.v1i2.766

Abstract

Koperasi adalah sebuah badan usaha yang melakukan kegiatan simpan pinjam kepada para anggota-anggotanya, maka semakin banyaknya proses simpan pinjam yang terjadi dalam usaha koperasi, maka semakin tinggi juga tingkat resiko kredit macet yang terjadi pada anggotanya, dalam kasus ini Koperasi Serba Usaha Tunggal Jaya Padang memerlukan sebuah sistem yang bertujuan untuk meminimalisir resiko terjadinya kemacetan kredit pada usaha koperasi tersebut. Dengan memanfaatkan Sistem Pendukung Keputusan dengan menggunakan Metode Simple Additive Weighting. Metode ini dipilih karena diharapkan menjadi sebuah jawaban akan masalah yang terjadi pada badan usaha ini, Sistem Pendukung Keputusan ini akan diaplikasikan kedalam sebuah website sehingga dapat lebih mudah untuk digunakan. Melalui Penerapan Sistem Pendukung Keputusan ini, diharapkan akan menjadi sebuah jalan keluar untuk menurunkan resiko kemacetan yang terjadi pada badan usaha tersebut.
Penerapan Metode FIFO Pada Sistem Inventory Obat dan Bahan Habis Pakai Di Klinik Kesehatan Masriadi; Muhammad Ikhlas; M. Hafizh
Biomedical and Environmental Health Technology Vol 2 No 2 (2025): Biomedical and Environmental Health Technology (BIOHEALTH)
Publisher : Institut Kesehatan dan Teknologi Al Insyirah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35328/xy35s370

Abstract

Pengelolaan persediaan obat dan bahan habis pakai merupakan aspek yang sangat penting dalam mendukung kualitas pelayanan di klinik kesehatan. Permasalahan yang sering muncul dalam pengelolaan persediaan adalah penumpukan stok, ketidaktepatan pencatatan, hingga tingginya risiko obat kedaluwarsa akibat sistem distribusi yang belum optimal. Penelitian ini bertujuan menerapkan metode First In First Out (FIFO) pada sistem inventory obat dan bahan habis pakai guna meningkatkan efisiensi alur masuk dan keluarnya barang serta meminimalkan kesalahan dalam manajemen stok. Metode penelitian mencakup analisis kebutuhan pengguna, pemodelan sistem, perancangan basis data, dan implementasi algoritma FIFO pada proses pengeluaran obat dan bahan habis pakai. Pengujian sistem dilakukan melalui uji fungsional dan evaluasi kinerja berdasarkan kecepatan pencarian barang, akurasi pencatatan stok, dan persentase pengurangan obat kedaluwarsa. Hasil penelitian menunjukkan bahwa penerapan metode FIFO mampu meningkatkan ketepatan pengelolaan persediaan sebesar signifikan, mempercepat proses distribusi internal, serta mengurangi risiko penumpukan stok. Dengan demikian, sistem inventory berbasis FIFO ini dapat menjadi solusi efektif dalam mendukung operasional klinik secara lebih terstruktur, efisien, dan akuntabel.
Utilization of IT Business Management for Marketing Development with the Analytical Hierarchy Process Method Andreas Malau; Sumijan; Muhammad Hafizh
Journal of Computer Scine and Information Technology Volume 9 Issue 3 (2023): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i3.75

Abstract

Marketing development is an important factor in a business that must be considered to increase market share. Choosing the right marketing strategy greatly influences the smooth running of sales. This study aims to determine a decision on the right marketing method so that it can be applied by Rozi Bike Shop in expanding its market share. Determination of the marketing strategy at the Rozi bicycle shop is determined based on four criteria, namely organization, product, place and distribution channel. The four criteria are analyzed and processed using the Analytical Hierarchy Process (AHP) method in order to obtain an appropriate marketing decision to implement. method The Analytical Hierarchy Process (AHP) is a multicriteria decision method for solving complex or complex problems, in unstructured situations into parts (variables) which are then formed into functional hierarchies or network structures. The results of calculations using the AHP method show that Strategy A (Technological Innovation) gets the highest value, namely 0.46984 . The results obtained from this study are a decision-making system designed using the AHP method and the application of IT business management in developing the store's marketing.
Co-Authors Adji Putra Pamungkas Aggy Pramana Gusman Andreas Malau Ayu Mahessya, Raja Deri Marse Putra Devia Kartika Dodi Guswandi Emil Naf'an Gema, Rima Liana Gushelmi Halifia Hendri Harkamsyah Andrianof Hasri Awal Ikhlas, Muhammad Liga Mayola Masriadi Muhammad Reza Putra Nasution, Annio Indah Lestari Novita Triana Okta Andrica Putra Pondrinal, Muhammad Randy Permana Ravhis Al Amin Reyga Primayudha T Riska Robianto Rita Selvi Zola Fenia Suci Wahyuni Sumijan Teri Ade Putra Wijaya, Romi Yanto, Musli