Article Per Year (5 Year)
p-Index From 2020 - 2025
8.527
P-Index
This Author published in this journals
All Journal Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer @is The Best [Accounting Information System & Information Technology Business Enterprise] Jurnal Sistem Informasi, Teknologi Informasi, dan Edukasi Sistem Informasi (JUST-SI)
Nanang Yudi Setiawan
Fakultas Ilmu Komputer, Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

Published : 147 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 147 Documents
Search

 10   11   12   13   14 
Analisis Sentimen Masyarakat terhadap Penggunaan Masker di Masa Pandemi Covid-19 berdasarkan Tweet menggunakan Metode SVM Ihza Razan Alghifari; Nanang Yudi Setiawan; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 13 (2021): Publikasi Khusus Tahun 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

Untuk dipublikasikan di Jurnal Sistem Informasi Bisnis (JSINBIS)
Pengembangan Data Warehouse menggunakan Metode Kimball (Studi Kasus: Ekspor & Impor Fauna dan Flora Hias Air Laut) Tito Rhenaldi Priono; Welly Purnomo; Nanang Yudi Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 8 (2021): Agustus 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

PT Agung Aquatic Marine or PT AAM is engaged in the field of export and import of ornamental saltwater fauna and flora, so the data from transactions and the availability of products became important in running their business operations. But those data are managed on separate divisions inside PT AAM, this could slow down the process of decision making by the executives of PT AAM. Because of that, PT AAM plans to integrate these data into a centralized source that helps in decision-making. One of the solutions to that problem is the development of a data warehouse so that the data can be integrated and makes it easier to make a decision. In the development of the data warehouse, a flow or method is used to make it easier to design and implement the data warehouse that is the Kimball or Nine-Step Kimball methodology. The data warehouse that has been developed, produces 4 dimension tables with 2 fact tables, that is fact table of ordering and purchasing. Then a requirement validation test is carried out which results in a valid status on all of the test cases. Other than that, an ETL process performance test is carried out that shows the average time of execution is ± 24 seconds for each ETL process of fact and dimension tables. Next, an ETL process scheduling test is carried out that produces the task that runs automatically and without any problems.
Analisis Hasil Evaluasi Kinerja Kelompok Jabatan Fungsional Pemeriksa Pajak Kantor Pelayanan Pajak PMA Dua menggunakan Metode Naive Bayes Agustinus Ryan Wicaksono; Satrio Hadi Wijoyo; Nanang Yudi Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 9 (2021): September 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

Employee Performance Evaluation is an evaluation process conducted by an agency, both government agencies and private agencies to measure the performance and quality of employees in the agency. PMA Dua Tax Service Office is one of the govenrment agency that run the performance evaluation to measure the performance of the Tax Auditor Functional. However, in the implementation of the performance evaluation, PMA Dua Tax Service Office encountered obstacles where the data variables were used and there were still a lot of scattered data. So it needs accuracy in processing the data used to assess employee performance. Therefore, the author conducted an analysis using naice bayes on the tax audit functional performance evaluation data in onder to fund out how the employee's performance was. The author uses the 2019 employee data as much as 64 data which is used to train the naive bayes model. The resultsof the application of data mining produce an accuracy of 93.75% using the Accuracy Score method and an accuracy of 82,5% using the K-Fold Cross Validation method. The naive bayes model that has been built is also used to predict employee performance in 2020 using 52 data. The dashboard that has been formed has an average score of 80, which means that the dashboard is acceptable and can be used by the PMA Dua Tax Service Office.
Pemodelan dan Analisis Proses Pelaksanaan Tesis menggunakan Process Mining (Studi Kasus: Magister Ilmu Komputer Universitas Brawijaya) Anggie Tamara Blanzesky; Ahmad Afif Supianto; Nanang Yudi Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 13 (2021): Publikasi Khusus Tahun 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

Untuk dipublikasikan di JITeCS (Journal of Information Technology and Computer Science)
Analisis dan Perbaikan Proses Bisnis menggunakan Metode Business Process Improvement (BPI) (Studi Kasus Divisi Simpan Pinjam KPRI UB) Imam Setyo Wibowo; Nanang Yudi Setiawan; Buce Trias Hanggara
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 10 (2021): Oktober 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

Simpan Pinjam Division of KPRI UB is a division or unit in KPRI UB that has savings and loan as the main service. Simpan Pinjam Division of KPRI UB has loan application as one of the business processes. In operating the business process, Simpan Pinjam Division still has a problem, such as the completion time of the loan application business process that takes a long time to finish or still has not met the expected time target. Therefore, it is necessary to analyze and improve business process to handle the problem and optimize the performance of the loan application business process. This research uses the Business Process Improvement (BPI) method from the organizing for improvement phase, then the understanding the process phase, to the streamlining phase. BPMN or Business Process Model and Notation is used for modelling the process business, and Five Whys Analysis is used for root cause finding. After obatining the current business process model and business process recommendation model, a simulation is performed to idenfity process validity and to determine the results of time analysis comparison using Bizagi Modeler. From the simulation, it is found that every business process is able to run validly and from the time analysis comparison there is an increase in the average completion time of 53%. It can be concluded from the results that the business process that has been improved is more efficient than the current business process in the Simpan Pinjam Division of KPRI UB.
Evaluasi Proses Bisnis Sistem Peminjaman Ruangan Online menggunakan Metode Quality Evaluation Framework (QEF) (Studi Kasus PT. Omah Pioner Ngalam) Wildan Dery Rahadi; Buce Trias Hanggara; Nanang Yudi Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

PT. Omah Pioner Ngalam or Ngalup Coworking Space is a company engaged in online space rental. The main business process running at Ngalup.co at this time is the process of borrowing space that runs online by consumers to companies. There are several problems with this online room borrowing system at Ngalup.co, among others, potential customers when they want to rent a room online still have to ask again regarding the implementation time available at Ngalup.co because there are several SOPs that have not been implemented by the party. company to enter data on which dates have been ordered by other customers. To be able to find out the current business process flow used the Busisneess Process Model (BPMN) method with the results of current business process modeling, then it is necessary to evaluate using a method, namely the Quality Evaluation Framework (QEF) with the results that there are three quality factors not in accordance with the code Q1, Q4, and Q9 and Root Cause Analysis (RCA) produces root causes that cause the business process to be obstructed.
Analisis Perilaku Pengguna pada PT Antar Surya Jaya : Harian Surya Surabaya menggunakan Metode K-Means Clustering Kevin Gusti Farras Fari' Utomo; Fitra Abdurrachman Bachtiar; Nanang Yudi Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

Surya Daily, one of the leading newspapers in Surabaya and part of Tribbunnews, always strives to maintain user satisfaction in obtaining accurate, reliable and equitable information in the aspect of its distribution of various types of published news. Newspaper development continues to increase in line with the rapid development of technology, causing competitive conditions in the information and journalism fields. Analysis of user behavior through Cyber ​​Profiling is one way to find out the patterns and trends that are being of interest based on the application of Log Analysis. The application of this analysis requires a classification of data and information, which in this study applies K Means Clustering as a method of classifying log data from the Surya Surabaya Daily website. This study resulted in grouping users into 2 and 3 clusters through silhouette coefficients with validation values ​​of 0.48896 and 0.53899, then analysis information related to the most accessed Health category (29.5%) and the number of page views (53.2%) of all categories available on the website. Surya Daily. The results of the identification of cluster groups with low-high-moderate characteristics which refer to the level of distribution of categories and the number of activities in each category, and visualized in the form of a dashboard which is tested through SUS which produces a value of 97.5 and represents Grade "A" and "Excellent" based on adjective rating, and best imaginable for stakeholders.
Analisis Metode Fuzzy C-Means dengan Model LRFM terhadap Segmentasi Pelanggan pada Toko Butik (Studi Kasus: Diva Collection Kota Cilegon) Adityo Dwirahmawan; Nanang Yudi Setiawan; Djoko Pramono
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 12 (2021): Desember 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

Diva Collection boutique shop is a boutique store that sells various types of women's clothing that was established in 2019 in Cilegon City. The store still has not implemented a Customer Relationship Management strategy by providing different services to each customer, so that the boutique treats each customer the same. Therefore, customer segmentation is needed to find out how the nature or characteristics of customers with certain similarities are. This is useful for finding information about profitable customers. Observed customer behavior is from the LRFM process. Length (difference between the last transaction and the beginning), Recency (difference between purchase dan research), Frequency (the amount of purchase), and Monetary (total consumer spending). The clustering method used is C-Means to segment customers. The results of the K-Means and Silhoutte graphs are used to determine the optimal number of clusters before clustering. The data used is data for the period August 2019 to December 2019 as many as 560 customer transaction data. the number of groups produced is 2 segments and 3 segments. Group 2 is the most optimal group, this is based on a ranking based on the highest F, M, L values and the lowest R. The Dashboard visualization of the grouping results is described in the form of diagrams and graphs. There are 3 pages that display information on the results of grouping and are given to the Diva Collection Boutique Store for testing. The average result obtained from 3 respondents is 72.5. This value is classified as good, where the Diva Collection Boutique can receive the results of the Dashboard visualization..
Evaluasi dan Perbaikan Proses Bisnis Pembacaan Meter Pascabayar di PT PLN (Persero) UP3 Malang Muhammad Indra Firdaus; Ismiarta Aknuranda; Nanang Yudi Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 12 (2021): Desember 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

PT PLN (Persero) UP3 Malang is one of the PLN business units which has the obligation to serve prospective customers and the public related to the sale of electricity. Postpaid meter reading is one of the important business processes at PT PLN (Persero) UP3 Malang. There are several problems that occur in the postpaid meter reading business process, including errors when inputting data, customers included in incorrect meter reading route, errors in meter reading, and difficulties in taking meter readings because the house is closed or the fence is locked which results in losses for PLN because they do not get accurate calculation results. Therefore, it is necessary to evaluate the postpaid meter reading business process to assess whether the postpaid meter reading business process is appropriate with performance indicators in the postpaid meter reading business. To evaluate the business process, the root cause of the problem in the postpaid meter reading business process was identified using the 3 x 5 Whys technique. After that, for problematic activities, recommendations are given using the 12 streamlining tools contained in the Business Process Improvement (BPI) method. The recommended business process is then simulated and compared with the current business process to see the average time. The simulation results show that there is a decrease in the average time of 4 hours 8 minutes 18 seconds or 3.26% so it can be said that improvements in postpaid meter reading business process can solve the problems contained in the business process.
Analisis Penggunaan Model Regresi untuk Prediksi Penjualan Spare Part pada AHASS Nur Andhita Grogol Hilmi Rezkian Aziz Dama; Ahmad Afif Supianto; Nanang Yudi Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 12 (2021): Desember 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

AHASS Nur Andhita Grogol is one of officially honda's Workshop that located on Nur Andhita Grogol street Depok. so that AHASS can still serve a good service, AHASS need an available spare part stock. however spare part stok usually is not available. while spare part delivery from subsidiary take one to two days. this condition causes provision of service, on AHASS Nur Andhita Grogol is not maximum. therefore to maximalize the provision of service, AHASS need a prediction of spare part sales so that AHASS can make a decision to provide spare part stock in the future. predictions are made on the three most sold spare parts, those are SPX2 Oil, Fluid Injection, and Scooter gear Oil. prediction model were used is polynomial regression third order using data of spare part that sold in maret 2020 until november 2020. prediction on SPX2 Oil generate RMSE value 20.81, on Fluid injection 49,99, and on Scooter gear oil 16.93. prediction results visualized at dashboard form using google data studio platform and usability tested using system usability scale(SUS) which produces a value of 75.00 which is included in the Acceptable category with a rating of "Good".
Co-Authors Achmad Nofandi Ade Ayu Puspitasari Adeyaksa Galuh Waluyo Adha Apriliosusworo Adhitira Febrieztha Ramadhan Adilla Widyandhana Nuriman Aditya Rachmadi Adityo Dwirahmawan Agustinus Ryan Wicaksono Ahmad Afif Supianto Ain Nur Anisa Akbar Ilham Aldhila Meykasari Alya Paramitha Ayuningsih Amanda Puti Wibawa Ananda Risqi Amalia Andhika Akbar Saputra Andhika Mifta Alauddin Andi Reza` Perdanakusuma Anggara Cahya Nugraha Anggie Tamara Blanzesky Annisa Arifa Sesyazhade Apriyanti Apriyanti Arieftia Wicaksono Aulia Dwi Fitriani Ayu Pramadita Dewi Azhari Arsyad Azri Putri Rahmatika Bayu Rahayudi Bella Karina Sari Buce Trias Hanggara Budi Santoso Cahyaningtyas Sekar Wahyuni Carellia An-nisa Monik Citra Hemas Jati Inayu Claudio Canigia Guntara Daniel Austin Dominicus Deafinansia Nurido Andiyani Dedi Romario Desy Miladiana Devi Septiani Devita Widyasari Diah Priharsari Dian Eka Ratnawati Dicky Ilham Mualfi Dimas Hariyanto Sudarpi Dimounitif Nelaspaba Dinar Indah Dwi Utami Dinda Agnes Putri Dinda Ayu Rudyana Putri Dio Hilmi Habibi Dio Rahmat Putra Djoko Pramono Djoko Purnomo Dorothy Gabriel Sihombing Dwi Asri Nuryulianti Dwija Wisnu Brata Dzurriyatul Iflahah Ellen Yanuarti Erni Dwi Hartini Erzhal Risan Wikata Fajar Ubaidillah Ahmad Faqih Hidayatur Rahman Faris Wibowo Putro Farisa Aidilla Alfas Fawwaz Roja Mahardika Febiko Ramadina Febrian Pandu Widhianto Fitra A. Bachtiar Fitra Abdurrachmad Bachtiar Fitra Abdurrachman Bachtiar Frydo Tio Fernando Hafizh Yuwan Fauzan Hamim Nizar Yudistira Hanifah Muslimah Az-Zahra Haris Surya Wijayanto Harisul Ikrom Amin Heraspati Yudha Pratama Herman Tolle Hetty Mukammilah Higam Saiful Sadzali Hilmi Rezkian Aziz Dama Hilwa Aminatus Sholihah Ibnu Irawan Pratama Iffa Aulia Ulwani Ihza Razan Alghifari Ilma Bunga Sahara Imam Setyo Wibowo Indra Fahrizal Inggrid E. A. Siahaan Inka Setya Anggraini Intan Rumaysha Intan Sartika Eris Maghfiroh Iqbal Taufiq Ahmad Nur Ismiarta Aknuranda Istania Salma Jesy Thesalonica Mononimbar Juara Hutagalung Kartika Utami Kelvin Yabes Sitompul Kevin Gusti Farras Fari' Utomo M. Iqbal Farras Pratama Mega Isma Juwita Merlien Yuliana Permatasari Moch. Rosul Zein Mochamad Chandra Saputra Mohammad Malik Abdul Azis Muhamad Fauziawan Agung Rewanda Muhammad Aswin Muhammad Averous Mahdafikiyah Muhammad Ferdyandi Muhammad Hanif Hasanain Muhammad Ibrahim Al Ghazi Saragi Muhammad Indra Firdaus Muhammad Iqbal Muhammad Rasyad Fauzan Muhammad Rayhan Ravandika Muhammad Rizqi Ramadhan Muhammad Taufik Dharmawan Muhammad Tri Hermawan Mumtazah Rizti Arini Nabilah Iftah Nella Nadhif Mahendra Putra Nafiani Nafiani Nanda Petty Wahyuningtyas Nashihul Ibad Al Amin Nasita Ratih Damayanti Nazva Abiya Niken Hendrakusma Wardani Niken Hendrakusma Wardani Nourman Hajar Novira Azpiranda Nur Fatimah Nur Laita Rizki Amalia Prakoso Adi Bagaskara Prasetyo Iman Nugroho Priyambadha, Bayu Putera Iga Arrahma Putri Puspitasari Raditya Rizky Putra Rafi Audian Retno Indah Rokhmawati Rista Yasin Lamohammad Hende Rizal Halim Adirasyid Rois Yanuar Rahman Wahyudi Rokhmah Vira Santi Ryan Dwi Pambudi Salsabilla Syafta Sandrian Yulian Firmansyah Noorihsan Sarah Anggina Satrio Agung Wicaksono Satrio Arif Budiman Satrio Dwiartono Satrio Hadi Wijoyo Sheila Maulidia Sholachuddin Al Ayubi Syifa Basyasyah Bysi Theresia Emiliana Boleng Tirta Saraswati Tito Rhenaldi Priono Topan Prakoso Tri Afirianto Tri Susanto Victor Axelius Kristianto Siren Welly Purnomo Whita Parasati Wildan Arrizal Wahyu Sutomo Wildan Dery Rahadi Wira Kumara Wiratama Ahsani Taqwim Yoga Tika Pratama Yusi Tyroni Yusi Tyroni Mursityo Zaenal Kurniawan Zulfiar Ryanda Putra