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All Journal Jurnal Informatika Jurnal Inspiration Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Perspektif : Jurnal Ekonomi dan Manajemen Universitas Bina Sarana Informatika Paradigma Bina Insani ICT Journal Jurnal Pilar Nusa Mandiri JITK (Jurnal Ilmu Pengetahuan dan Komputer) Techno Nusa Mandiri : Journal of Computing and Information Technology JURNAL ILMIAH INFORMATIKA Jurnal Telematika Jurnal Informasi dan Komputer Jurnal Riset Informatika JISICOM (Journal of Information System, Infomatics and Computing) Journal of Electronics, Electromedical Engineering, and Medical Informatics INTI Nusa Mandiri Journal of Robotics and Control (JRC) Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Sains Komputer dan Teknologi Informasi Jurnal Sistem Informasi Jurnal AbdiMas Nusa Mandiri Jurnal Pengabdian Kreatif Cemerlang Indonesia Jurnal Aruna Mengabdi (ARMI)
Frieyadie
Universitas Nusa Mandiri
Aerospace Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PENERIMA PIALA 5 TINGKAT EFL DI KUMON DANAU SUNTER DENGAN METODE AHP Frieyadie Frieyadie
Jurnal Riset Informatika Vol. 1 No. 1 (2018): Periode Desember 2018
Publisher : Kresnamedia Publisher

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Abstract

Kumon memberikan penghargaan berupa piala sebagai bentuk penghargaan atas prestasi yang ditunjukkan siswa Kumon. Hal ini juga diharapkan dapat meningkatkan motivasi siswa Kumon dalam mengerjakan lembar kerja sesuai tingkatan levelnya secara mandiri. Di Kumon Danau Sunter, terdapat 2 tingkatan piala yang diberikan kepada siswa yaitu piala 3 tingkat dan 5 tingkat. Setiap Kumon harus memilih beberapa siswa yang memenuhi kriteria-kriteria yang sudah ditetapkan oleh Kantor Pusat. Kriteria-kriteria tersebut diantaranya adalah sikap dan perilaku selama berada di kelas, level yang dicapai dan kemampuan yang dimiliki siswa tersebut. Jumlah siswa yang semakin bertambah setiap tahunnya menyebabkan proses penentuan siswa yang berhak menerima piala 5 tingkat di Kelas EFL Kumon Danau Sunter masih kurang optimal yang dapat menghambat kinerja dari para pengambil keputusan. Hal ini dikarenakan pada saat ini proses penilaian perkembangan setiap siswa masih dalam bentuk hardcopy. Metode pemecahan masalah yang digunakan metode AHP. Tujuan penelitian yang dilakukan untuk mengoptimalkan proses penentuan siswa penerima piala 5 tingkat EFL di Kumon Danau Sunter. Mempermudah para pengambil keputusan dalam menentukan siswa penerima piala 5 tingkat EFL di Kumon Danau Sunter. Mempercepat proses pencarian data-data siswa yang memenuhi kriteria dan memberikan hasil yang valid mengenai siswa yang berhak menerima piala 5 tingkat EFL di Kumon Danau Sunter.
PENERAPAN METODE AHP SEBAGAI PENUNJANG KEPUTUSAN PENERIMAAN KARYAWAN PADA PT. ARKONIN Warosatul Ilmiyah; Frieyadie Frieyadie; Frisma Handayanna
Jurnal Riset Informatika Vol. 1 No. 3 (2019): Periode Juni 2019
Publisher : Kresnamedia Publisher

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Abstract

Perusahaan membuka lowongan pekerjaan, maka dalam waktu yang singkat biasanya akan dibanjiri oleh berkas-berkas dari para pencari kerja. Permasalahannya adalah terkadang perusahaan mengalami kesulitan dalam menyeleksi pelamar pekerjaan, sehingga pelamar yang sebenarnya tidak memenuhi kriteria atau kebutuhan diikutkan dalam proses wawancara, atau bahkan diterima bekerja di perusahaan tersebut. Akibatnya perusahaan akan memiliki tenaga kerja yang sebenarnya tidak sesuai dengan kebutuhan perusahaan. Penelitian ini memiliki tujuan untuk memudahkan menentukan pelamar mana yang benar-benar berkompeten dan layak menjadi karyawan untuk posisi tertentu di sebuah perusahaan dan memudahkan penempatan karyawan pada divisi yang tersedia sesuai dengan keahlian yang dimiliki dan kebutuhan. Metode yang digunakan untuk menjawab permasalahan yang dihadapi dengan metode AHP. Hasil AHP yang diperoleh dari kuesioner dengan 3 responden yang memberikan jawabannya dihitung dan didapat hasil akhir bahwa calon karyawan B unggul (52,3%) berbanding dengan calon karyawan A (37,2%) dan calon karyawan C (10,5%).
PENGGUNAAN MODEL WATERFALL DALAM PERANCANGAN APLIKASI PENJUALAN KOSMETIK BERBASIS WEB Frieyadie Frieyadie; Ummi Fatayat
Jurnal Riset Informatika Vol. 1 No. 4 (2019): Periode September 2019
Publisher : Kresnamedia Publisher

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Abstract

Perkembangan teknologi ini membawa pengaruh yang cukup besar dalam segala bidang, salah satunya di bidang penjualan barang. Peran perdagangan dalam persaingan bisnis menuntut lebih kreatif dan inovatif agar konsumen tetap tertarik dengan produk yang akan di pasarkan dan beberapa penjualannya masih konvensional sehingga mengalami kesulitan dalam pembuatan laporan penjualan dengan media kertas, yang menyebabkan dokumen sering hilang dan mudah rusak. Proses pemesanan barang kosmetik hanya dilakukan melalui telepon atau datang langsung ke tempat tersebut yang kemudian akan dicatat dalam buku pemesanan, sehingga memungkinkan pada saat proses berlangsung akan terjadi kesalahan dalam pencatatan. Untuk menjawab permasalahan diatas dibutuhkan suatu aplikasi sistem penjualan yang baik, terintegrasi dan dapat dijangkau oleh pengelola sistem, terlebih dijangkau oleh pembeli. Model pengembangan sistem yang digunakan untuk membuat aplikasi sistem penjualan tersebut yaitu Model Waterfall. Tujuan ini untuk menjawab permasalahan-permasalahan yang terjadi saat ini pada took kosmetik.
PENERAPAN METODE WEIGHTED PRODUCT SEBAGAI PENDUKUNG KEPUTUSAN SELEKSI KARYAWAN BARU PT. HI-LEX INDONESIA Frieyadie Frieyadie; Fariati Fariati
Jurnal Riset Informatika Vol. 2 No. 1 (2019): Periode Desember 2019
Publisher : Kresnamedia Publisher

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Abstract

Penerimaan karyawan dalam setiap perusahaan adalah kegiatan yang senantiasa dilakukan dalam suatu periode tertentu atau secara insidentil. Proses perekrutan ini memerlukan proses pengambilan keputusan sebagaimana halnya proses pengambilan keputusan lainnya dalam konteks yang berbeda Pada konteks penerimaan karyawan, sejumlah calon karyawan mengajukan diri dengan menyediakan segala berkas yang dipersyaratkan dan mereka juga mungkin diuji secara tertulis atau wawancara. Adapun metode yang saya gunakan dalam penelitian ini dengan menggunakan weighted product dan diperhitungkan secara kuantitatif. Dari hasil penelitian yang telah dilakukan adalah diperoleh 1 calon karyawan terbaik dari dari jumah sampel sebanyak 10 orang. Berdasarkan hasil penelitian yang dilakukan dimana Pemilihan bobot penilaian dapat dikembangkan dengan kriteria-kriteria yang lain sesuai dengan kebutuhan perusahaan, pengunaan metode Weighted Product lebih akurat untuk mendapatkan hasil perhitungan bobot kriteria, Hasil perhitungan dengan menggunakan metode Weighted Product, dengan acuan kriteria tes wawancara, tes psikotes, tes kesehatan, pengalaman kerja, pendidikan terakhir, usia dan penampilan, maka terpilih 1 (satu) orang calon karyawan, yang bernama Sukirman yang akan menjadi karyawan di PT.Hi-Lex Indonesia.
SYSTEMATIC LITERATURE REVIEW (SLR): DISEASE DETECTION IN MELONS USING DIGITAL IMAGE PROCESSING Frieyadie Frieyadie
Jurnal Riset Informatika Vol. 3 No. 1 (2020): December 2020 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v3i1.52

Abstract

Abstract¾Systematic Literature Review (SLR) is a technique used in this study that is used to study techniques for identifying leaf diseases using digital images as a basis for obtaining an understanding of disease identification techniques in melon leaves with digital images. Based on data from the Central Statistics Agency for the last 3 years from 2017-2019, melon production has increased considerably. Melon production data in 2017 was 92.43 tons, in 2018 was 118,708 and in 2019, overall melon production was 122,105 tons collected from 34 provinces in Indonesia. The problem that is often encountered in melon cultivation is the presence of plant pests that can harm and not maximize the yields of farmers. Several viruses cause mosaic disease that infects Cucurbitaceae plants, namely Cucumber aphid borne yellows virus (CABYV), Cucumber green mottle mosaic virus (CGMMV), Cucumber mosaic virus (CMV), Papaya ringspot virus (PRSV), Squash mosaic virus (SqMV), Squash leaf curl virus (SLCV), Watermelon mosaic virus (WMV). Information technology has now developed to be able to manage digital image data to identify problems faced by farmers. Several classification methods that can be used to answer problems include SVM, Artificial Neural Network, Decision Tree, Convolutional Neural Network.
IMPLEMENTATION OF INVENTORY INFORMATION SYSTEM DESIGN USING ECONOMIC ORDER QUANTITY METHOD Frieyadie Frieyadie; Tyas Setiyorini
Jurnal Riset Informatika Vol. 3 No. 2 (2021): March 2021 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v3i2.61

Abstract

The research problems faced are among others the cost of ordering goods which always changes every time there is an order. Poor product order data collection and less than optimal handling of product orders can harm the company. To solve the problem of controlling inventory management, the Economic Order Quantity (EOQ) method is used, which is proven to be effective in overcoming these problems. Contribution is generated by building an inventory management information system so that the problems faced are not repeated. The purpose of this study is to make the cost of ordering goods more stable and more optimal in handling product orders
VILLAGE GROUPING BASED ON THE NUMBER OF HEALTH FACILITIES IN WEST JAVA USING K-MEANS CLUSTERING ALGORITHM Frieyadie Frieyadie; Anggie Andriansyah; Tyas Setiyorini
Jurnal Riset Informatika Vol. 4 No. 1 (2021): December 2021
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v4i1.140

Abstract

Health is very important for the welfare and development of the Indonesian nation because as a capital for the implementation of national development, it is essentially the development of all Indonesian people and the development of all Indonesian people. Due to the outbreak of the Covid-19 virus, many health facilities must be provided for patients. Of course, the government must pay attention to the health facilities that can be used in every district/city in West Java in the future. Therefore, to determine the level of availability of sanitation facilities in each district/city in West Java, we need a technology that can classify data correctly. One method of data processing in data mining is clustering. The application of clustering to this problem can use the K-Means algorithm method to group the most frequently used data. The purpose of this study is to classify sanitation data on the highest sanitation facilities, medium sanitation facilities, and low sanitation facilities, so that areas/cities that are included in the low cluster will receive more attention from the government to improve/provide sanitation facilities.
COMPARISON OF LINEAR REGRESSIONS AND NEURAL NETWORKS FOR FORECASTING COVID-19 RECOVERED CASES Tyas Setiyorini; Frieyadie Frieyadie
Jurnal Riset Informatika Vol. 4 No. 3 (2022): June 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v4i3.184

Abstract

The emergence of the Covid-19 outbreak for the first time in China killed thousands to millions of people. Since the beginning of its emergence, the number of cases of Covid-19 has continued to increase until now. The increase in Covid-19 cases has a very bad impact on health and social and economic life. The need for future forecasting to predict the number of deaths and recoveries from cases that occur so that the government and the public can understand the spread, prevent and plan actions as early as possible. Several previous studies have forecast the future impact of Covid-19 using the Machine Learning method. Time series forecasting uses traditional methods with Linear Regression or Artificial Intelligence methods with neural networks. The research proves a linear relationship in the time series data of Covid-19 recovered cases in China, so it is proven that Linear Regression performance is better than the Neural Network.
SALES LEVEL ANALYSIS USING THE ASSOCIATION METHOD WITH THE APRIORI ALGORITHM Samuel Samuel; Asrul Sani; Agus Budiyantara; Merliani Ivone S; Frieyadie Frieyadie
Jurnal Riset Informatika Vol. 4 No. 4 (2022): September 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (822.013 KB) | DOI: 10.34288/jri.v4i4.194

Abstract

The company does not yet know the pattern of consumer purchases because, so far, the sales transaction data has not been used correctly and does not have a unique method to determine consumer buying patterns. The problems on the company, this research was done to reprocess sales transaction data for 2018-2019 using data mining techniques with association methods and apriori algorithms. RapidMiner is a supporting application to find association rules derived from transaction data. Processed transaction data using the Knowledge Discovery in Database approach. Thus, the company can determine consumer habits in buying goods from sales transaction data for 2018-2019. The results of this study are that in 2018, nine association rules were obtained, of which the best were CT G-246 ⇒ CT G-250 and CT G-250 ⇒ CT G-246. In 2019, nineteen association rules were received, of which the best were PN 0441, SK 0175 ⇒ SK 0530, and SK 0175, SK 0283, ⇒ SK 0530. From the best association rules, the goods in the Coat (imported), Pants, and Skirt categories are often bought together.
Covid-19 Social Aid Admission Selection Using Simple Additive Weighting Method as Decision Support Tyas Setiyorini; Frieyadie Frieyadie; Aditiya Yoga Pratama
Jurnal Riset Informatika Vol. 5 No. 3 (2023): June 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (826.739 KB) | DOI: 10.34288/jri.v5i3.231

Abstract

The process of receiving Covid-19 social assistance to residents who are recorded as social aid recipients in the RT.07 RW.10 Kp. Sukapura Jaya area is still uneven. The second problem is that there is no particular mathematical calculation to determine the value of the weight of the criteria, especially for residents who are recorded as receiving Covid-19 social aid in the RT.007 RW.10 Kp. Sukapura Jaya area. The gradual decline in social aid programs so that the number that falls does not match the data of social aid recipients. This caused a polemic for RT administrators in distributing social aid programs. The decline in social aid programs does not match the number of citizens recorded. It overcomes citizens who cause social jealousy—analyzing the problems experienced by the RT management in the distribution of Covid-19 social assistance, especially the RT.07 RW.10 Kp. Sukapura Jaya area to residents who are recorded as recipients. Selecting Covid-19 social assistance recipients, especially in the RT.07 RW.10 Kp. Sukapura Jaya area. So the application of methods as decision support is needed, and it is needed to help determine the weight of particular criteria for citizens who are recorded as more in need. This study proposes a decision support method using the Simple Additive Weighting (SAW) method, which is expected to help decision-making in solving problems for selecting Covid-19 social aid recipients in the RT.07 RW.10 Kp. Sukapura Jaya community. The purpose of the study is to select residents who are recorded to receive social aid who are more in need first will get Covid-19 social aid.
Co-Authors Achmad Bayhaqy Achmad Bayhaqy Ade Fitria Lestari Ade Priyatna Aditiya Yoga Pratama Agung Sudrajat Ahmad Baihaqi Angga Ardiansyah Anggie Andriansyah Anton Hindardjo Ari Puspita Asrul Sani Budiyantara, Agus Dedi Dwi Saputra Dedik Erwanto Deny Robyanto Dewi Alramuri Dian Ambar Wasesha Doharma, Rouly Dwiza Riana Eka Rini Yulia Eko Supriyanto Eni Heni Hermalani Eni Heni Hermaliani Ernawati, Siti Fachri Amsury Fajar Permadi Faldanu, Chaidir Rahman Fariati Fariati Febri Ainun Jariyah Frisma Handayanna Frisma Handayanna Gata, Windu Geby Oktaviani Hafifah Bella Novitasari Herlawati Herlawati Herlina Aryanti, Herlina Hilda Amalia Islamy, Faqih Thoriq Izni Nur Karimah Jordy Lasmana Putra Kaman Nainggolan, Kaman Khairunisa Hilyati Kristiana, Titin Laela Kurniawati Laela Kurniawati Lili Dwi Yulianto M. Daryono, Dadang Maryanah Safitri Mashyur, Riduan Syaiful Merliani Ivone Merliani Ivone S Muhamad Hasan Muhamad Ryansyah Muhammad Ifan Rifani Ihsan Muhammad Romadhona Kusuma Nita Merlina, Nita Nunung Hidayatun Nurajijah Nurajijah Nurmalasari Nurmalasari Rafly Pratama Rani Irma Handayani Rani Irma Handayani Rani Irma Handayani, Rani Irma Rezki, Muhammad Rizka Dahlia Rosadi Rosadi Samuel Samuel Sandra Jamu Kuryanti Setiyawan, Riki Sfenrianto, Sfenrianto Siti Aisyah Siti Fauziah Siti Fauziah Siti Fauziah Siti Nurdiani Sri Sri Hadianti Sri Rahayu SRI RAHAYU Suharyanto Suharyanto Sulistyowati, Daning Nur Surya Mahendra Ramadhan Syahriani Syahriani Titin Kristiana Titin Kristiana Titin Kristiana Tuti Haryanti Tuti Haryanti Tuti Haryanti Tuti Haryanti, Tuti Tyas Setiyorini Ummi Fatayat Virda Mega Ayu Warosatul Ilmiyah Windu Gata Windu Gata Windu Gata Yessica Fara Desvia