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PENERAPAN METODE WEIGHTED PRODUCT (WP) MENENTUKAN SISWA DROP OUT PADA SMK SWASTA SINAR HARAPAN Bambang Krismoyo; Sagala, Jijon Raphita
Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Vol. 3 No. 2 (2020): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Sisfokomtek

Show Abstract | Download Original | Original Source | Check in Google Scholar

Drop Out adalah keluarnya siswa dari sekolah atau satuanpendidik sebelum pada waktunya atau lulusnya seorang siswa tersebut,maka dari itu berkaitan dengan akademik maupun non akademik olehkarena itu Drop Ou tmenjadi solusi terakhir pihak Sekolah untukmengurangi hal - hal yang melanggar aturan yang ada pada sekolah,pada kasus Drop Out ini masih banyak perdebatan, karena khususnyauntuk Sekolah Swasta, siswa adalah aset utama untuk sekolah swastaitu sendiri kemudian untuk mengatasi perdebatan dan kebingunganuntuk menentukan siswa tersebut layak di Drop Out atau tidaknya,maka dari itu kita memerlukan sebuah Sistem Pendukung KeputusanMetode Weighted Product (WP). Weighted Product adalah metodepenyelesaian dengan menggunakan perkalian untuk menghubungkanrating atribut, dimana rating harus dipangkatkan terlebih dahulu denganbobot atribut yang bersangkutan. Proses ini sama halnya dengan prosesNormalisasi.

Comparison Of Exponesial Smoothing With Linear Regression Predicting Amount Of Goods Sales Panggabean, Erwin; Sinaga, Anita Sindar Ros Maryana; Sagala, Jijon Raphita; Ramadhan, Alya Sophia; Josua, Alpon
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 3 (2024): Research Artikel Volume 8 Issue 3, July 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i3.13811

A trading business is a business that operates in the sales sector with the aim of obtaining maximum profits through sales activities. To be able to sell efficiently, a prediction system is needed, so that there is no excess or shortage of inventory and the sales process can run smoothly. Human limitations in solving prediction problems without using tools that apply prediction methods are one of the obstacles in finding the right prediction value. Therefore, we need a prediction system that can help find accurate and fast values. So the problem formulation is how to design and build a sales prediction system using exponential smoothing and linear regression methods, then compare the two and find out which method is the best, both of which use periodic data prediction models. The data collection method used is secondary data from previous research and journals, as well as combining library study methods, namely information obtained from books, references and scientific works related to predictions. The tool used to build applications is MS-Visual Studio 2010 and WEB based system

ANALYSIS OF THE C4.5 ALGORITHM IN PREDICTING FERTILIZER AND PESTICIDE SALES AT UD. MR ZEN AGRO Sagala, Jijon Raphita; Hasugian, Penda Sudarto; Breukelen, Melisa Van; Nantheni, W.S.Usha
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 7 No. 2 (2024): JUSIKOM: JURNAL SISTEM INFROMASI ILMU KOMPUTER
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v7i2.4816

ABSTRACT Fertilizer and Pesticide sales prediction is a process for finding, assessing, and predicting fertilizer and pesticide sales for the future based on sales results in the past few months. The increasing demand from customers for Fertilizers and Pesticides means UD. Mr Zen Agro, which operates in supplying and selling necessities, needs to record sales transactions so that stock shortages and excess stock of goods do not occur. Using data mining techniques and applying the C4.5 Algorithm can help UD. Mr Zen Agro predicts sales of Fertilizers and Pesticides as a reference or guideline in making decision trees, which are able to predict sales data with a high level of accuracy by calculating the entropy value, information gain, split info, and gain ratio until the matter can no longer be calculated or is zero. An application system exists to predict sales of fertilizers and pesticides, which applies the C4.5 algorithm to UD. Mr Zen Agro, it can be seen how big the sales prediction results obtained can be implemented in a decision tree where from the decision tree, it can be seen which fertilizers and pesticides are in demand and which are not for sale. This system was built using the PHP programming language and MySQL as the database. Keywords: Data Mining, Sales Prediction, Fertilizer and Pesticide, Algorithm C4.5. Keywords: Data Mining, Sales Prediction, Fertilizer and Pesticide, Algorithm C4.5.

Penerapan Metode SAW dalam Sistem Pendukung Keputusan Penetuan Calon Kepala Desa di Desa Situnggaling, Kec. Merek, Kab. Karo Hasugian, Penda Sudarto; Sagala, Jijon Raphita; Sulindawaty, Sulindawaty
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 5 No. 2 (2022): JURNAL SISTEM INFROMASI DAN ILMU KOMPUTER PRIMA (JUSIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v5i2.2495

Salah satu pesta demorasi masyarakat adalah pemilihan kepala Desa, pemilihan kepala desa dilakukan di tingkat desa secara langsug untuk menentukan pemimpin Desa atau kepala Desa. Sistem pendukung keputusan merupakan suatu alternatife sistem yang interaktif yang dapat membantu dalam pengambilan keputusan melalui penggunaan data dan model-model keputusan untuk memecahkan masalah yang bersifat semi terstruktur maupun yang tidak terstruktur. Sistem ini dibangun dengan menerapkan metode SAW (Simple Additive Weighting) dimana Konsep dasar metode SAW yaitu mencari penjumlahan terbobot dari rating kinerja pada setiap alternatif pada semua atribut. Pada perhitungan metode SAW ini hanya yang menghasilkan nilai terbesar yang akan terpilih sebagai alternatif yang terbaik. Perhitunganakan sesuai dengan metode ini apabila alternatif yang terpilih memenuhi kriteria yang telah ditentukan. Dengan Menggunakan sistem pendukung keputusan pemilihan calon kepala Desa yang memakai metode Simple Additive Weigtihng (SAW) ini membantu warga masyarakat untuk mengetahui perangkingan calon kepala Desa dari hasil bobot kriteria yang telah di tentukan, sehingga memberi informasi tambahan saat akan menetukan pilihan dalam pesta demokrasi warga masyarakat di desa situnggaling.

DECISION SUPPORT SYSTEM FOR TEACHER PERFORMANCE APPRAISAL WITH SIMPLE ADDITIVE WEIGHTING METHOD Sagala, Jijon Raphita; Hasugian, Penda Sudarto
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 7 No. 1 (2023): JUSIKOM: JURNAL SISTEM INFROMASI ILMU KOMPUTER
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v7i1.4122

Teachers are the most influential component in creating quality educational processes and outcomes. Therefore, improvement efforts are made to improve the quality of education. Schools will not make a significant contribution without the support of professional and qualified teachers. Teachers are really required to have high performance. To improve the quality of teacher performance, the 064022 State Elementary School conducts teacher performance appraisals every 3 months but the mechanism is less effective due to lack of transparency. Research on teacher performance appraisal using the system is applied for efficiency and transparency. The system was developed using the Simple Additive Weighting method. The Simple Additive Weighting method is part of the Decision Support System (DSS) used to help determine decisions based on alternative data and criteria data. Keywords: Decision Support System, Teacher Performance, Simple Addictive Weighting.

SISTEM PENDUKUNG KEPUTUSAN DALAM PENENTUAN JABATAN KAPOLRES DI JAJARAN KEPOLISIAN DAERAH SUMATERA UTARA (POLDA SUMUT)DENGAN METODE SIMPLE ADDITIVE WEIGHT (SAW) Sagala, Jijon Raphita
Journal of Computer Networks, Architecture and High Performance Computing Vol. 1 No. 1 (2019): Computer Networks, Architecture and High Performance Computing
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnapc.v1i1.4

Office in policing in the functions of Office, started after the Organization carry out the withdrawal and selection, that is, at the moment a prospective member of the police force was declared acceptable and ready to be placed on the Office or work unit in accordance with the educational unit.But it turns out thatthe problem is not that simple, because it is precisely the success of the overall program of the election office is located on the accuracy in placing personnel concerned.The placement process is a process that is crucial in getting the competent Office is required, because the proper placement will be able to help companies or agencies in achieving the expected objectives. With the method of Simple Additive Weighting (SAW) can assist decision makers in selecting prospective Kapolres who really fit the criteria required by police agencies.So with this system of North Sumatra Police can minimize errors caused by the performance of the Police Personnel, that is, by the way puts personnel at the position or field in accordance with its ability.

IQ Test Expert System for Selecting Candidates for New Students Arrosty, Mawaddah; Sagala, Jijon Raphita
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 1 (2020): Computer Networks, Architecture and High Performance Computing
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnapc.v2i1.364

The IQ test information system at the Taman Siswa Lubukpakam Private High School is still done by selling, after the which Recapitulation is done manually, the obstacle is that the school has Difficulties in delivering information on the results of IQ tests that are slow and not timely , and in the calculation of the IQ test results that require a long time, the resulting in slow work.The making of this system uses the methodology of field researchers, interviews and observations. This requires some Data Including student data. Data Reviews These are expected to be the basis of making this application system in order to present the required information quickly intervening and accurately. IQ tests in the determination and consideration of class Unmatched in schools are usually done manually and the make enough time to find out the IQ results in Determining prospective new students at school, besides calculating the IQ test results Because it is quite complicated, then to Facilitate the school in carrying out the IQ test to Determine the prospective new students required the existence of a computer-based application and to build applications that will be used by the web programming language. The results of the evaluation of the application that was built were very helpful and accelerated the school in Determining the selection of classrooms that adjusted Reviews their abilities and civilized the use of computers among students. then to Facilitate the school in carrying out the IQ Test to Determine the prospective new students required the existence of a computer-based application and to build applications that will be used by the Web programming language. The results of the evaluation of the application that was built were very helpful and accelerated the school in Determining the selection of classrooms that adjusted Reviews their abilities and civilized the use of computers among students. then to Facilitate the school in carrying out the IQ Test to Determine the prospective new students required the existence of a computer-based application and to build applications that will be used by the Web programming language. The results of the evaluation of the application that was built were very helpful and accelerated the school in Determining the selection of classrooms that adjusted Reviews their abilities and civilized the use of computers among students

Pengembangan Model Predictive Maintenance Untuk Kendaraan Menggunakan Algoritma Pembelajaran Mesin Hasugian, Penda Sudarto; Kumar, Prasanth; Aispriyani; Sagala, Jijon Raphita
Jurnal Sistem Informasi dan Teknologi Jaringan Vol 5 No 2 (2024): September
Publisher : CV. ADMITECH SOLUTIONS

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Vehicle maintenance is an important aspect to ensure optimal performance and vehicle life. Conventional maintenance approaches based on time or mileage (Time-Based Maintenance) are often ineffective, because they do not consider the actual condition of the vehicle. Predictive Maintenance supported by machine learning algorithms offers a more accurate solution in detecting potential vehicle damage before failure occurs, so that maintenance can be carried out according to actual needs. This study aims to develop a machine learning-based predictive maintenance model with a case study at the Payung Auto Solution workshop, which leads to the repair of Nissan, Datsun, and other vehicle brands. The methods used in this study include collecting operational data and vehicle maintenance history at Payung Auto Solution. This data is analyzed and processed using machine learning algorithms, such as Random Forest and Neural Network, to build a predictive model that is able to identify damage patterns in vehicle components. This model is tested and evaluated using prediction accuracy metrics, to determine the effectiveness of the model in predicting maintenance needs.

Penerapan Aplikasi Sistem Informasi Forkomling Pada Perumahan Bekala Asri Sagala, Jijon Raphita; Sudarto Hasugian, Penda; Sitorus, Martua; Van Breukelen, Melisa; Nantheni, W. S. Usha
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 5 No. 1 (2024): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN)
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v5i1.2917

Perkembangan Teknologi yang begitu pesat sekarang ini, masyarakat tentu tidak asing lagi dengan internet. Internet merupakan akses masyarakat untuk melihat atau mencari informasi yang dibutuhkan masyarakat. Melalui Penerapan Aplikasi Sistem Informasi Forkomling Pada Perumahan Bekala Asri, didapatkan hasil pengumpulan data serta analisis kebutuhan yang telah dilakukan pada Perumahan Bekala Asri, didapatkan hasil bahwa Aplikasi Sistem Informasi Forkomling yang telah dibangun dapat menyelesaikan pengolahan keamanan, kebersihan, pengutipan iuran dan lainya sehingga dapat berjalan dengan efektif dan menghasilkan informasi yang lebih akurat dan informatif sehingga memberikan manfaat dalam proses transparansi dan keterbukaan laporan keuangan iuran warga tersebut. Selain oleh petugas, semua warga juga sekarang dapat mengakses laporan keuangan warga secara langsung dan terbuka. Dalam Penelitian ini dibagun Aplikasi Sistem Informasi Forkomling di Perumahan Bekala Asri berbasis web mengunakan PHP dan HTML sebagai bahasa pemogramannya, MYSQL sebagai database, XAMPP sebagai server lokal, agar pengelolaan kemanan dan kebersihan bisa berjalan dengan baik.

PENERAPAN METODE WEIGHTED PRODUCT (WP) MENENTUKAN SISWA DROP OUT PADA SMK SWASTA SINAR HARAPAN Bambang Krismoyo; Sagala, Jijon Raphita
Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Vol. 3 No. 2 (2020): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Utility Project Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9767/jikomsi.v3i2.50

Drop Out adalah keluarnya siswa dari sekolah atau satuanpendidik sebelum pada waktunya atau lulusnya seorang siswa tersebut,maka dari itu berkaitan dengan akademik maupun non akademik olehkarena itu Drop Ou tmenjadi solusi terakhir pihak Sekolah untukmengurangi hal - hal yang melanggar aturan yang ada pada sekolah,pada kasus Drop Out ini masih banyak perdebatan, karena khususnyauntuk Sekolah Swasta, siswa adalah aset utama untuk sekolah swastaitu sendiri kemudian untuk mengatasi perdebatan dan kebingunganuntuk menentukan siswa tersebut layak di Drop Out atau tidaknya,maka dari itu kita memerlukan sebuah Sistem Pendukung KeputusanMetode Weighted Product (WP). Weighted Product adalah metodepenyelesaian dengan menggunakan perkalian untuk menghubungkanrating atribut, dimana rating harus dipangkatkan terlebih dahulu denganbobot atribut yang bersangkutan. Proses ini sama halnya dengan prosesNormalisasi.

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