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All Journal INFORMAL: Informatics Journal JMAI (Jurnal Multimedia & Artificial Intelligence) Jurnal Pengabdian Nasional (JPN) Indonesia Indonesian Community Journal Journal Of Information System And Artificial Intelligence Jurnal Pengabdian Nasional (JPN) Indonesia

Anief Fauzan Rozi

Universitas Mercu Buana Yogyakarta

Author-ID : 2421907

Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

Published : 15 Documents Claim Missing Document

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Articles

Title

Penerapan Data Mining Untuk Memprediksi Jumlah Data Pasien Di Puskesmas Haekesak Menggunakan Metode ARIMA Ermelinda Novita De Jesus; Anief Fauzan Rozi
Journal Of Information System And Artificial Intelligence Vol. 1 No. 2 (2021): Journal of Information System and Artificial Intelligence Vol I, No II Mei.2021
Publisher : Universitas Mercu Buana Yogyakarta

ABSTRACT The purpose of this study was to determine the Arima method equation model, to find out the resultsof the analysis to predict the number of patients in the haekesak health center using Minitab tools. and knowingthe results of predicting the number of patients treated at the Hasekesak health center from 1 January to 10February and the method used in this study was the ARIMA method. The results of the prediction of the totalnumber of patients who will come to the Haekesak Health Center using the ARIMA method, this analysis endswith the number of patients who will come on the 26th-35th day where the total number of patients does notincrease or decrease significantly so that the puskesmas does not need to increase their mental health. or theaddition of excessive drug stock.Keywords: Forecasting, ARIMA, Disease

Prediksi Kelulusan Mahasiswa Fakultas Teknologi Informasi Umby Menggunakan Metode Decision Tree Penerapan Algoritma C4.5 Vidya Anggraini Nurislamiaty; Anief Fauzan Rozi
Journal Of Information System And Artificial Intelligence Vol. 1 No. 2 (2021): Journal of Information System and Artificial Intelligence Vol I, No II Mei.2021
Publisher : Universitas Mercu Buana Yogyakarta

Kelulusan merupakan salah satu unsur penting bagi pihak fakultas dalam penilaian akreditasi. Sehingga jika mahasiswa lulus tepat waktu maka akan membantu penlaian akreditasi terhadap penilaian suatu fakultas hingga perguruan tinggi. Kelulusan tepat waktu sendiri merupakan salah satu tolak ukur hasil kinerja akademik mahasiswa. Pada Fakultas Teknologi Informasi (FTI) Universitas Mercu Buana Yogyakarta masih banyak ditemui permasalahan mengenai mahasiswa yang menyelesaikan masa studi lebih dari waktu yang ditetapkan, hal ini tentu saja merugikan pihak fakultas yang akan membuat akreditasi fakultas kurang maksimal, serta terlalu banyaknya mahasiswa aktif yang membuat kegiatan belajar mengajar kurang ideal. Berdasarkan hal tersebut, maka dirasa diperlukan untuk melalukan analisis dan klasifikasi pola-pola kriteria kelulusan mahasiswa tepat waktu, untuk melakukan hal tersebut maka dirasa metode paling cocok yang digunakan ialah data mining Algoritma C4.5. berdasarkan dari perhitungan Algoritma C4.5 dengan atribut input berupa Indeks Prestasi Semester 5-7, Program Studi, serta sks tempuh hingga semester 7 maka menghasilkan akurasi sebesar 82,8897% dengan IPS semester 7 menjadi root tree dan SKS kamulatif hingga semester 7 menjadi child node.

Penerapan Data Mining Dalam Menentukan Kinerja Karyawan Terbaik Dengan Menggunakan Metode Algoritma C4.5 ( Studi Kasus : Universitas Mercu Buana Yogyakarta ) Alfi Novia Zahrotul Hidayah; Anief Fauzan Rozi
Journal Of Information System And Artificial Intelligence Vol. 1 No. 2 (2021): Journal of Information System and Artificial Intelligence Vol I, No II Mei.2021
Publisher : Universitas Mercu Buana Yogyakarta

Selama ini penilain kinerja dosen pada Universitas Mercu Buana Yogyakarta masih dilakukan secara manual dengan hanya menggunakan form penilaian sehingga dirasa perlu dilakukan analisa dan klasifikasi kinerja karyawan pada Universitas Mercu Buana Yogyakarta dengan menggunakan pendekatan data mining Algoritma C4.5. Pada penelitian ini dilakukan klasifikasi atau segmentasi atau pengelompokan dan bersifat prediktif yang digunakan untuk membentuk pohon keputusan (Decision Tree). Analisa ini akan membantu mempermudah pihak Pusat Penjaminan Mutu (PPM) Universitas Mercu Buana Yogyakarta dalam menentukan dosen terbaik. Penerapan Algoritma C4.5 dalam penilaian dosen terbaik di Universitas Mercu Buana Yogyakarta dalam penelitian ini memiliki tingkat akurasi yang termasuk dalam klasifikasi sangat baik yaitu sebesar 85,52% yang didapat dari hasil uji coba menggunakan tools Rapid Miner dengan 80% data sebagai data training dan 20% data uji.

Sistem Pendukung Keputusan Menentukan Kelayakan Kenaikan Gaji Karyawan Menggunakan Metode Topsis Eko Junianto; Anief Fauzan Rozi
Journal Of Information System And Artificial Intelligence Vol. 1 No. 1 (2020): Journal of Information System and Artificial Intelligence Vol I, No I Nov.2020
Publisher : Sistem Informasi Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (830.441 KB)

Dalam menentukan proses penetapan kenaikan gaji karyawan di perusahaan banyak terdapat kendala- kendala atau masalah yang harus dihadapi perusahaan antara lain efisiensi waktu, banyak perbandingan variabel yang diuji, pengambilan keputusan apakah karyawan tersebut berhak naik gajinya atau tidak dan Banyaknya berkas data yang diolah yaitu data karyawan. Pada penelitian ini studi kasus yang digunakan adalah toko roti Mama Bakery, dimana pada perusahaan ini masih belum efektif dan efisien dalam penghitungan kenaikan gaji. Maka untuk memudahkan proses tersebut perlu dibuat sebuah sistem berupa sistem pendukung keputusan penentuan kenaikan gaji karyawan dengan Topsis (Technique for Order Preference by Similarity to Ideal Solution) yang diharapkan dapat membantu mengatasi permasalahan. Dalam penelitian ini untuk mendapatkan solusi pengambilan keputusan penentuan kenaikan gaji, perlu disusun beberapa kriteria dan alternatif. Untuk membantu proses penilaian maka dibuat sebuah sistem pendukung keputusan penentuan kenaikan gaji karyawan yang terdapat menu untuk memasukkan data alternatif dan kriteria serta hasil perhitungan sesuai dengan metode diatas yang diharapkan dapat membantu dalam menentukan kenaikan gaji karyawan. Sistem pendukung keputusan berguna untuk mengolah data kriteria dengan input penilaian karyawan dan menghasilkan output perangkingan rekomendasi kenaikan gaji berdasarkan bobot dan kriteria yang telah di tetapkan. Hasil perhitungan sistem dengan jumlah usulan 10 dalam satu periode mencakup semua cabang toko, semua bagian dan semua jabatan menghasilkan nilai tertinggi yaitu 0.85429377 dengan nomor pegawai P-0003, dan nilai terendah yaitu 0.66617808 dengan nomor pegawai P-0054.

Sistem Pakar Diagnosa Penyakit Gigi dan Mulut Menggunakan Metode Certainty Factor Bayu Adji Sukarno; Anief Fauzan Rozi
Journal Of Information System And Artificial Intelligence Vol. 1 No. 2 (2021): Journal of Information System and Artificial Intelligence Vol I, No II Mei.2021
Publisher : Universitas Mercu Buana Yogyakarta

Teeth are one of the most important organs in the human body. As an organ that cannot heal itself, teeth need to be carefully taken care of. The data on dental health in Indonesia obtained from the Center for Data and Information (Pusdatin) of the Ministry of Health, Republic of Indonesia Year 2014 revealed that the percentage of Indonesians with dental health problems in 2007 and 2013 increased from 23.2% to 25.9%. The population receiving dental medical care increased from 29.7% in 2007 to 31.1% in 2013. People need a quick response to get their teeth checked before going to a dentist whose location might be far from their home. An early response to handle a dental disease that someone may suffer is essential. Therefore, a quick way to diagnose a dental disease that can be done by everybody is needed. This research is to develop an expert system to diagnose dental and oral diseases. This system is to assist people with an early diagnosis so that a more severe disease can be prevented.

Sistem Pendukung Keputusan Pemilihan Pelanggan Terbaik Menggunakan Metode MOORA Studi Kasus CV Sinar Indah Sejahtera Sahroni; Anief Fauzan Rozi
Journal Of Information System And Artificial Intelligence Vol. 3 No. 1 (2022): Journal of Information System and Artificial Intelligence Vol III, No I Novembe
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v3i1.110

CV Sinar Indah Sejahtera is one of the businesses engaged in trading/marketing where CV Sinar Prosperity acts as a provider and also as a distributor of basic necessities. For basic necessities, including rice, sugar, salt, peanuts, green beans, and also various other basic necessities. In order to improve the quality of sales and to establish communication and trust in consumers, CV Sinar Indah Sejahtera has the initiative to provide discounts/rebates to the best customers owned by CV Sinar Indah Sejahtera. Based on the above ideas, therefore we need a system that can process customer data which produces the best customer decision output, CV Sinar Indah Sejahtera. One of the roles of a Decision Support System (DSS) is to manage data using certain calculation methods which will produce a recommendation for a decision sequence. In this case CV Sinar Indah Sejahtera will use a decision support system using the MOORA calculation method to determine the best customer. From the test results that have been carried out from 5 alternative data, the best results are Mrs. Afui with a value of 35.9678 and second place is Aseng with a value of 29.5007 and the percentage of system performance is 80% which has been explained in the sub-chapter 4.2.4.2 Validation of Ranking Results with Facts.

Sistem Pendukung Keputusan Penentuan Prioritas Bantuan Stimulan Perumahan Swadaya Menggunakan Metode SMART Ongki Firdian Afandi; Anief Fauzan Rozi
Journal Of Information System And Artificial Intelligence Vol. 3 No. 2 (2023): Vol. 3 No. 2 (2023): Journal of Information System and Artificial Intelligence
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v3i2.111

The self-help home assistance program is an annual work program at the Sleman Regency Public Works Department. In determining the recipient of home self-help assistance at the Sleman district public works service, it is still done manually so that a lot of data is not stored properly and even is lost. In this study, the researcher aims to create a system that can assist in determining the recipients of self-help housing in Sleman district so that data can be well documented and the process of determining beneficiaries does not take time. This study uses the SMART (Simple Multi Attribute Rating Technique) method with an assessment of 13 criteria, namely roof covering damage, roof truss damage, column and ring block damage, brick and wall damage, frame damage, window shutter damage, door leaf damage, substructure damage. , damage to the floor covering, damage to the sloof, damage to the bathroom, damage to the bathroom, damage to drains. Based on the results of the study, it can be concluded that the application of decision-making using the SMART (Simple Multi Attribute Rating Technique) method resulted in a 100% match between manual calculations and the system with 75% test data.

Implementasi Sistem Pendukung Keputusan Menentukan Suplier Bahan Baku Minuman Terbaik Menggunakan Metode Smart (Studi kasus Sedot.idn) Awaludin Yusrizal; Anief Fauzan Rozi
Journal Of Information System And Artificial Intelligence Vol. 3 No. 2 (2023): Vol. 3 No. 2 (2023): Journal of Information System and Artificial Intelligence
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v3i2.123

Currently, the beverage business competition is getting tougher, making each business owner want to provide the best for customers. Sedot.idn has been doing the selection of raw material suppliers manually so that the work done is less efficient because every time there is a change in price, quality, service and delivery time, sedot.idn business owners have to calculate and re-determine the supplier they will choose. With these problems, it is deemed necessary to make it easier to make work more effective and efficient by creating a system to help Sedot.idn business actors determine the best raw material suppliers for their business with the criteria of quality, price, service, and delivery accuracy. This system will be made using the Simple Multi Attribute Rating Technique or commonly abbreviated as SMART. In this study, data collection and analysis will be carried out to draw conclusions to determine research recommendations for the best minimum raw material suppliers and produce a system that can help business actors Sedot.Idn Making a decision support system with the SMART method can help provide solutions for the head of the outlet owner in choosing the best supplier so that Sedot.idn business owners do not need to manually calculate in the supplier selection process.

Co-Authors Alfi Novia Zahrotul Hidayah Awaludin Yusrizal Bayu Adji Sukarno Eko Junianto Ermelinda Novita De Jesus Johana Harjayanti Markus Monemnasi Nafida Hetty Marhaeni Nurul Arifianti Nuryadi Nuryadi Ongki Firdian Afandi sahroni Sidiq Purnomo, Agus Vidya Anggraini Nurislamiaty

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