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<![CDATA[VILLAGE GROUPING BASED ON THE NUMBER OF HEALTH FACILITIES IN WEST JAVA USING K-MEANS CLUSTERING ALGORITHM ]]>
<![CDATA[Frieyadie Frieyadie]]>;
<![CDATA[Anggie Andriansyah]]>;
<![CDATA[Tyas Setiyorini]]>
<![CDATA[ Jurnal Riset Informatika Vol 4 No 1 (2021): Period of December 2021 ]]>
Publisher : <![CDATA[Kresnamedia Publisher ]]>
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DOI: 10.34288/jri.v4i1.300
<![CDATA[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.]]>
<![CDATA[Covid-19 Social Aid Admission Selection Using Simple Additive Weighting Method As Decision Support ]]>
<![CDATA[Tyas Setiyorini]]>;
<![CDATA[Frieyadie Frieyadie]]>;
<![CDATA[Aditiya Yoga Pratama]]>
<![CDATA[ Jurnal Riset Informatika Vol 5 No 3 (2023): Priode of June 2023 ]]>
Publisher : <![CDATA[Kresnamedia Publisher ]]>
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DOI: 10.34288/jri.v5i3.553
<![CDATA[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.]]>
<![CDATA[SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PENERIMA PIALA 5 TINGKAT EFL DI KUMON DANAU SUNTER DENGAN METODE AHP ]]>
<![CDATA[Frieyadie Frieyadie]]>
<![CDATA[ Jurnal Riset Informatika Vol. 1 No. 1 (2018): Periode Desember 2018 ]]>
Publisher : <![CDATA[Kresnamedia Publisher ]]>
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<![CDATA[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.]]>
<![CDATA[PENERAPAN METODE AHP SEBAGAI PENUNJANG KEPUTUSAN PENERIMAAN KARYAWAN PADA PT. ARKONIN ]]>
<![CDATA[Warosatul Ilmiyah]]>;
<![CDATA[Frieyadie Frieyadie]]>;
<![CDATA[Frisma Handayanna]]>
<![CDATA[ Jurnal Riset Informatika Vol. 1 No. 3 (2019): Periode Juni 2019 ]]>
Publisher : <![CDATA[Kresnamedia Publisher ]]>
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<![CDATA[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%).]]>
<![CDATA[PENGGUNAAN MODEL WATERFALL DALAM PERANCANGAN APLIKASI PENJUALAN KOSMETIK BERBASIS WEB ]]>
<![CDATA[Frieyadie Frieyadie]]>;
<![CDATA[Ummi Fatayat]]>
<![CDATA[ Jurnal Riset Informatika Vol. 1 No. 4 (2019): Periode September 2019 ]]>
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<![CDATA[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.]]>
<![CDATA[PENERAPAN METODE WEIGHTED PRODUCT SEBAGAI PENDUKUNG KEPUTUSAN SELEKSI KARYAWAN BARU PT. HI-LEX INDONESIA ]]>
<![CDATA[Frieyadie Frieyadie]]>;
<![CDATA[Fariati Fariati]]>
<![CDATA[ Jurnal Riset Informatika Vol. 2 No. 1 (2019): Periode Desember 2019 ]]>
Publisher : <![CDATA[Kresnamedia Publisher ]]>
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<![CDATA[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.]]>
<![CDATA[IMPLEMENTATION OF INVENTORY INFORMATION SYSTEM DESIGN USING ECONOMIC ORDER QUANTITY METHOD ]]>
<![CDATA[Frieyadie Frieyadie]]>;
<![CDATA[Tyas Setiyorini]]>
<![CDATA[ Jurnal Riset Informatika Vol. 3 No. 2 (2021): March 2021 Edition ]]>
Publisher : <![CDATA[Kresnamedia Publisher ]]>
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DOI: 10.34288/jri.v3i2.61
<![CDATA[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]]>
<![CDATA[Covid-19 Social Aid Admission Selection Using Simple Additive Weighting Method as Decision Support ]]>
<![CDATA[Tyas Setiyorini]]>;
<![CDATA[Frieyadie Frieyadie]]>;
<![CDATA[Aditiya Yoga Pratama]]>
<![CDATA[ Jurnal Riset Informatika Vol. 5 No. 3 (2023): June 2023 ]]>
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DOI: 10.34288/jri.v5i3.231
<![CDATA[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.]]>
<![CDATA[Comparison of the Application of Linear Regression with Sliding Window Validation and K-Fold Cross-Validation for Forecasting Covid-19 Recovered Cases ]]>
<![CDATA[Setiyorini, Tyas]]>;
<![CDATA[Frieyadie, Frieyadie]]>
<![CDATA[ Jurnal Riset Informatika Vol. 6 No. 3 (2024): June 2024 ]]>
Publisher : <![CDATA[Kresnamedia Publisher ]]>
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DOI: 10.34288/jri.v6i3.288
<![CDATA[The increase in confirmed cases and deaths due to Covid-10 continues to spread and increase day by day throughout the world. This has resulted in a world health crisis that impacts all sectors of life. The government declared a movement to suppress the spread of Covid-19, so it is necessary to understand the pattern of Covid-19 problems. Researchers contribute scientifically to finding patterns of death or recovery due to COVID-19 by applying Machine Learning methods. The Linear Regression and Sliding Window preprocessing methods are appropriate for forecasting time series data. This research obtained RMSE results at 0.320 with linear regression with sliding window validation and RMSE at 0.320 with linear regression with K-Fold cross-validation. This proves that Linear Regression with Sliding Window Validation can improve performance much better than k-fold cross-validation in forecasting COVID-19 recovery cases in China. The sliding window validation method has been proven to increase accuracy for forecasting with time series data compared to other standard preprocessing methods, namely K-Fold cross-validation. In the future, further research is needed to test different types of time series data by comparing the application of sliding window validation and K-Fold cross-validation or developing other validation models.]]>
<![CDATA[VILLAGE GROUPING BASED ON THE NUMBER OF HEALTH FACILITIES IN WEST JAVA USING K-MEANS CLUSTERING ALGORITHM ]]>
<![CDATA[Frieyadie, Frieyadie]]>;
<![CDATA[Andriansyah, Anggie]]>;
<![CDATA[Setiyorini, Tyas]]>
<![CDATA[ Jurnal Riset Informatika Vol. 4 No. 1 (2021): December 2021 ]]>
Publisher : <![CDATA[Kresnamedia Publisher ]]>
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DOI: 10.34288/jri.v4i1.140
<![CDATA[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.]]>
