Garuda - Garba Rujukan Digital

p-Index From 2021 - 2026

P-Index

This Author published in this journals

All Journal International Journal of Electrical and Computer Engineering Jurnal Ilmiah KOMPUTASI Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL SIMTIKA (Sistem Informasi dan Informatika) Jurnal Informatika Ekonomi Bisnis Jurnal Komtekinfo Jurnal Sistim Informasi dan Teknologi

Julius Santony

Universitas Putra Indonesia YPTK Padang

Author-ID : 2376612

Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering

Published : 16 Documents Claim Missing Document

Claim Missing Document

Articles

1 2

Optimalisasi Prediksi Biaya Komisi Penjualan Mobil Menggunakan Metode Monte Carlo Zupri Henra Hartomi; Yuhandri; Julius Santony
Jurnal KomtekInfo Vol. 7 No. 2 (2020): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Sales are the main source of income for every company. Every company in marketing a product, should control the potential market for profit. Predicting the number of sales is important in analyzing sales progress. This study aims to assist companies in predicting car sales and car commission cost budgets based on sales data from the previous year.The data used in the study are car sales data for 2017 and 2018 in the Arengka Automall Pekanbaru Showroom (SAA Pekanbaru).Data processing in research uses the Monte Carlo method.The results of tests that have been carried out state that car sales by Marketing within 1 year resulted in an average accuracy rate of 94% and sales commission fee of Rp 411.000.000.From these results in accordance with calculations performed manually so that with a large accuracy value, the application of the simulation using this Monte Carlo Method feasible to be applied by companies in future decision making to plan the estimated budget for the cost of a car sales commission and as a means to assess Marketing performance at SAA Pekanbaru.

Sistim Pakar Konseling Mata Pelajaran Pilihan UNBK Menggunakan Metode Forward Chaining Kiki Hariani Manurung; Julius Santony
Jurnal Sistim Informasi dan Teknologi 2019, Vol. 1, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

The choice of computer-based national exams is a choice of a student that must be adjusted to his interests and talents, so in this case the selection of majors is very important for the future of a student who will continue his studies to college. But in reality the decisions taken in choosing majors often cause problems, because the majors taken only follow the choice of friends or on the basis of coercion from parents. Causing the large number of students who feel out of line with expectations or abilities and want to change majors. For this reason, an expert system has been made that can make it easy for students to consult early to determine elective subjects for computer-based national examinations. The method used in making this expert system is the Forward Chaining method to determine conclusions. The process of this application is to receive input in the form of types of problems experienced by students. The result of the application is that it can provide early instructions for subjects that match the talents and interests of students. With the application of the forward chaining method that is applied to the system that is governed by the rule type problem. From the accuracy of 89.29%, the system can be said to be good enough to be implemented.

Analisis Perkiraan Jumlah Produksi Tahu Menggunakan Metode Fuzzy Sugeno Siti Nurdini; Gunadi Widi Nurcahyo; Julius Santony
Jurnal Sistim Informasi dan Teknologi 2019, Vol. 1, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Tofu industry XYZ is a small industry that is managed in the form of a home industry, where the process of estimating the amount to be produced is still manual. For that, a calculation process is needed that can be used to save or buy. Of the existing problems used in the Sugeno Fueno Method. In this method uses three variables, namely, demand variables, purchase variables and production variables. Each variable has three sets of Fuzzy, the demand variable consists of down, medium and up. Variables consist of few, medium and many. And the production variable consists of reduction, tolerable and increasing. From the results of the test data conducted by the Sugeno Method there is a difference of error of 2.148% means that the truth level is 97,852%. Determining this method can be applied to the tofu industry XYZ in estimating the amount of tofu production for the next period.

Akurasi Keputusan dalam Penentuan Guru Berprestasi dengan Menggunakan Metode Simple Additive Weighting W Wahyudi; Julius Santony; Gunadi Widi Nurcahyo
Jurnal Sistim Informasi dan Teknologi 2020, Vol. 2, No. 1
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

This study aims to obtain decision accuracy in determining teacher achievement using the Simple Additive Weighting method. Problems in Batam Muhammadiyah Vocational High School in determining the achievement of teachers using assessment criteria with the weight of educational qualifications, discipline, neatness, character, personality and teaching methods. The ranking process stage determines the alternatives of selected teacher achievement using the input of criteria weights. The results of this study get an accuracy rate of 80% with an accurate, fast, objective value. In the future, this research will be used as a new standard in determining teacher achievement.

Sistem Pendukung Keputusan Program Kerja Pengawasan Tahunan Menggunakan Metode Simple Additive Weighting Indra Gunawan; Julius Santony; S Sumijan
Jurnal Sistim Informasi dan Teknologi 2020, Vol. 2, No. 2
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

The Annual Supervision Work Program (ASWP) is a measure of efficiency and effectiveness in implementing supervision in supporting Inspectorate performance. For the preparation of this ASWP using a Risk-Based Supervision Planning (RBSP) based on certain criteria. Decision Support System (DSS) is a system used to determine alternative ASWP to be implemented. The criteria are determined using the Simple Additive Weighting (SAW) method. The basic concept of the SAW method is to find the total weighting of the performance rating for each alternative. Testing is done from ASWP alternative normalized according to the type of attribute criteria (benefit or cost). The final result is obtained from the calculation process, namely from the 10 test data there is 80% compatibility of the data from the system calculation. The sum of the normalized matrix with weights per criterion shows an alternative ranking of the regional apparatus organization that is closest to the criteria to the most distant from the criteria. In order to get an alternative ASWP to be implemented.

Optimalisasi Tunjangan Kinerja Pegawai pada Badan Kesatuan Bangsa dan Politik Kabupaten Karimun Menggunakan Metode Monte Carlo: Array Eri Haryadi; Sumijan; Julius Santony
Jurnal Ilmiah Komputasi Vol. 19 No. 2 (2020): Jurnal Ilmiah Komputasi Volume: 19 No. 2, Juni 2020
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.19.2.87

Badan Kesatuan Bangsa dan Politik Kabupaten Karimun melaksanakan pembayaran tunjangan berbasis kinerja. Pemberian tunjangan ini harus terbuka dan transparan sesuai dengan prestasi kinerja pegwai. Penelitian ini bertujuan untuk menentukan kriteria yang tepat dalam perhitungan bobot kinerja, sehingga pemberian tunjangan sangat tepat. Penelitian ini akan menetapkan bobot kinerja pegawai sebagai acuan dalam pembayaran tunjangan kinerja setiap bulan. Data yang diolah dalam penelitian ini adalah nilai absensi dan nilai capaian kinerja setiap pegawai. Data ini dirangkum menjadi data sasaran kinerja pegawai dengan jumlah Pegawai Badan Kesatuan Bangsa dan Politik Kabupaten Karimun sebanyak 23 (dua puluh tiga) orang. Metode yang digunakan dalam penelitian ini adalah Monte Carlo. Hasil dari pengujian penelitian ini dapat menentukan prediksi sasaran kinerja pegawai yang akurat dengan tingkat akurasi 99%. Dengan ketepatan penelitian ini, maka ketepatan dalam penentuan tunjangan kinerja sangat tepat, sehingga penelitian ini menjadi acuan dalam meningkatkan kinerja pegawai secara tepat.

Co-Authors Bias Yulisa Geni Catur Suharinto Chairul Imam Elvin Syahrin Eri Haryadi Gunadi Widi Nurcahyo hamsiah hamsiah Hendro Zalmadani Indra Gunawan Johan Harlan Jufriadif Na`am, Jufriadif Manurung, Kiki Hariani Maulia Rahman Roni Roni S Sumijan Sarifuddin Madenda Siti Nurdini Sumijan Sumijan Sumijan W Wahyudi Yuhandri Yuhandri Yuhandri Yuhandri, Yuhandri Zupri Henra Hartomi

Title

Found 16 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 16 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 16 Documents
Search