Article Per Year (5 Year)
p-Index From 2019 - 2024
0.778
P-Index
This Author published in this journals
All Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Informatika Global Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Jurnal Dinamika Informatika (JDI) Proceeding of International Conference Health, Science And Technology (ICOHETECH)
Arif Wicaksono Septyanto
Institut Teknologi Kalimantan,Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Education Health Professions Industrial & Manufacturing Engineering Mathematics Medicine & Pharmacology

Published : 7 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 7 Documents
Search

 1 
Fuzzy Topsis System Untuk Pemilihan Atlet Balap Sepeda Terbaik Arif Wicaksono Septyanto; Faulinda Ely Nastiti; Joni Maulindar; Dwi Hartanti
Jurnal Dinamika Informatika Vol 9 No 2 (2020): Jurnal Dinamika Informatika
Publisher : Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1211.734 KB)

Abstract

Balap sepeda merupakan salah satu olahraga yang di membutuhkan atlet dalam perlombaannya. Atlet yang terbaik merupakan salah satu hal yang wajib dimiliki oleh sebuah komunitas. Masalah yang ada pada penentuan atlet balap sepeda masih secara manual belum terdapatnya teknologi dalam penentuan atlet balap sepeda. Tujuan dari penelitian ini adalah untuk penentuan atlet balap sepeda terbaik.Dalam penentuan atlet balap sepeda terbaik kriteria yang akan digunakan seperti kriteria tinggi badan, berat badan, lari, sit and reach, push up, sit up,ergo, beep/balke, kayuh. Metode fuzzy dan topsis dapat diterapkan dalam pendukung keputusan penentuan atlet balap sepeda terbaik yang tersajikan dalam bentuk perangkingan atlet balap sepeda terbaik. Hasil dari penelitian yang telah dilakukan didapatka nilai paling tinggi sehingga didapat atlet balap sepeda terbaik dengan nilai 0.878.
A Fuzzy Rule-Based Fog Cloud Computing untuk Menganalisis Faktor Penyebab Kematian Ibu Meninggal Masa Postpartum Arif Wicaksono Septyanto
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 8 No 4 (2021): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v8i4.1262

Abstract

Analysis of the causes of post-partum maternal death is very important in reducing maternal mortality. The post-partum maternal mortality rate in Indonesia is very high, around 359 in 100,000 births. The factors of post-partum maternal mortality are rarely analyzed more deeply so that there is no sustainable treatment. In this study, the authors used a fuzzy rule-based fog cloud computing system to monitor maternal mortality based on vital signs and physical signs using 10 parameters of the causes of postpartum maternal death. Fog cloud is used for data processing on a local server in order to reduce the burden when using cloud computing. The initial analysis of maternal mortality parameters was changed to low, medium and high ranges and then monitored on seven days post-partum. From the results of the analysis, it was found that the dominant factor of post-partum maternal mortality for vital signs was influenced by Blood Pressure with an MF value of 0.44 with status " High” for physical signs affected by Anogenital Lochea Sanguinolenta with an MF value of 0.46 with status in the “High” system. Other parameters that have little effect on maternal mortality tend to decrease from the first day to the seventh post-partum day.
Fuzzy Topsis System Untuk Pemilihan Karyawan Terbaik Pada PT. Delta Dunia Textile Arif Wicaksono Septyanto; Nugroho Arif Sudibyo; Ardymulya Iswardani; Tiyan Ganang Wicaksono
Jurnal Informatika Global Vol 12, No 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v12i1.1545

Abstract

This research implements a fuzzy topsis based system for selecting the best employees at PT. Delta World Textil. One of the matters, especially in the management of Human Energy Resources (HR) is the selection of the best employees periodically, so that those who are elected will be given an award in the form of a bonus in order to motivate employees to improve their service and performance. The best and quality employees are the legacy of the industry that wants to make the industry grow rapidly. Several methods have been proposed for selecting the best employees. However, the method used is inaccurate because it only uses one method with few criteria. This study aims to select the best employees by looking at several criteria in the form of discipline, teamwork, attitudes, presence, skills, loyalty, tenure, and productivity for initial processing using fuzzy logic. Initial values are obtained in the form of membership function values which are used as input into the topsis method. The first stage of the topsis method is carried out in the normalized decision metric stage, the results of this stage are used to find a weighted normalized decision matrix according to the weight of the criteria for each criterion, the results of this stage are used to ensure positive ideal solving and negative perfect solutions after that the distance between the values is determined. each alternative with a positive perfect solution matrix and a negative perfect solution matrix. In the last session, the highest preference value was sought so that the best employees were obtained. The results show that the system established is very feasible in ensuring the best employees in performance evaluation. Keywords : Fuzzy Logic, Topsis, Best Employees, Decision Support System
Penerapan Data Mining untuk Memprediksi Jumlah Produk Terlaris Menggunakan Algoritma Naive Bayes Studi Kasus (Toko Prapti) Robi Wariyanto Abdullah; Dwi Hartanti; Hanifah Permatasari; Arif Wicaksono Septyanto; Yuda Abi Bagaskara
Jurnal Informatika Global Vol 13, No 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v13i1.2060

Abstract

Toko Prapti is a small privately owned company that sells basic necessities,. So far, the prapti shop produces sales data every day, but the results obtained show that the prapti shop has not maximized the data so that it becomes a data accumulation. Therefore, the researcher conducted a study on product sales data by utilizing and applying data mining using the nave Bayes classifier algorithm to determine the interest in purchasing goods at the prapti shop. data. In this study, the author uses the waterfall system development method. The author implements this research using a web programming language, namely PHP, using the CodeIgniter framework with MySQl database. The system built with the nave Bayes algorithm includes product sales data, nave calculations of each attribute and reporting. This system produces 4 attributes that greatly affect the results of the classification. The attributes used in this research are the attributes are quarter 1, quarter 2, quarter 3 and quarter 4. Prediction results obtained using the nave Bayes algorithm produce information that can be used by stores to identify the best-selling products purchased by consumers so that it can help prapti shops to find and determine the target market more accurately. Sources of data taken from the previous 1 year with system accuracy using a confusion matrix resulted in 83.3% accuracy, 84.2% precision and 88.9% recall.    Keywords : Data mining, Nave bayes Classifier, Code Igniter, Confusion Matrix
Rancang Bangun Sistem Informasi Tracking Sales dengan Integrasi Kartu Radio Frequency Identification Mita Kharisma Permata Zion Putri; Rudi Susanto; Arif Wicaksono Septyanto
Jurnal Informatika Global Vol 13, No 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v13i1.2088

Abstract

CV. Multi Banyu Satwa is a distributor of livestock medicines and vitamins where the company sells its products to shops that sell animal needs, especially livestock. In marketing its products, this company uses a canvasing sales system where the salesperson sells for several days by directly bringing the product and will return when the goods brought have started to run out. So that there can be a risk of losing the product if the salesperson is not honest, besides that the company owner does not know the presence of the sales directly. In this regard, the purpose of this research is to build a sales canvasser tracking information system with the integration of Radio Frequency Identification (RFID) cards. The method used in building this information system uses waterfall and needs analysis using PIECES, while the system modeling design uses Unified Modeling Language (UML). This information system is web-based and there are 3 access rights, namely owner, admin, salesman. Based on the test results from testing the sales canvasser tracking information system with the integration of this RFID card using the black-box method, it can be seen that this information system can run well. Meanwhile, from the results of user testing using a questionnaire, the results showed a percentage score of 55% Agree and 45% Strongly Agree.Keywords : Information System, Tracking, Sales, RFID
PREDIKSI INFLASI DI INDONESIA MENGGUNAKAN METODE MOVING AVERAGE, SINGLE EXPONENTIAL SMOOTHING DAN DOUBLE EXPONENTIAL SMOOTHING Nugroho Arif Sudibyo; Ardymulya Iswardani; Arif Wicaksono Septyanto; Tyan Ganang Wicaksono
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 1 No. 2 (2020): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v1i2.25

Abstract

Tujuan dari penelitian ini adalah untuk mengetahui model peramalan yang paling baik digunakan untuk meramalkan inflasi di Indonesia dengan data inflasi Januari 2015 sampai dengan Mei 2020. Penelitian ini menggunakan beberapa metode peramalan. Berdasarkan metode peramalan yang dilakukan didapatkan hasil peramalan yang paling baik dilihat dari MAPE, MAD dan MSD adalah single exponential smoothing. Selanjutnya, hasil peramalan menunjukkan bahwa tingkat inflasi di Indonesia pada Agustus 2020 sebesar  1,41746%.
Internet Of Things Based Plant Watering System Design Afu Ichsan Pradana; Harsanto; Retna Dewi Lestari; Rudi Susanto; Arif Wicaksono Septyanto
Proceeding of International Conference on Science, Health, And Technology 2021: Proceeding of the 2nd International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (919.399 KB) | DOI: 10.47701/icohetech.v1i1.1126

Abstract

The productivity of plant cultivation can be increased through intensive care and maintenance. Maintenance and maintenance consist of applying fertilizers or nutrients, weeding, pruning, and watering. Watering systems in hydroponic, aquaponic, and other plant cultivation will affect crop yields. Watering is important in maintaining lost moisture during the day, and at night as a substitute for the moisture lost at night. This study aims to design a watering tool for plant cultivation using the help of digital Internet of Things (IoT) technology. To make plant cultivation there is no lack and excess of water and nutrients. This tool can do watering remotely and can monitor moisture and soil temperature conditions via a smartphone device. Apart from helping farmers, this tool can be installed in plantations, nurseries, city parks, hotels, offices, and homes.
Co-Authors Afu Ichsan Pradana Ardymulya Iswardani Faulinda Ely Nastiti Hanifah Permatasari Harsanto Hartanti, Dwi Maulindar, Joni Mita Kharisma Permata Zion Putri Nugroho Arif Sudibyo Retna Dewi Lestari Robi Wariyanto Abdullah Rudi Susanto Tiyan Ganang Wicaksono Tyan Ganang Wicaksono Yuda Abi Bagaskara