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Dahboard Eksekutif sebagai Media Koordinasi dan Monitoring Kegiatan untuk Peningkat Kinerja Aparatur Pemerintah Mohammad Reza Maulana; Anas Syaifudin; Hari Agung Budijanto; Eko Budi Susanto
JURNAL LITBANG KOTA PEKALONGAN Vol. 18 No. 2 (2020)
Publisher : Badan Perencanaan Pembangunan, Penelitian dan Pengembangan Daerah (Bappeda) Kota Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54911/litbang.v19i0.126

Abstract

Pekalongan City Government continues to strive to improve good governance in maximizing the use of Information Technology, this is evidenced by the participation of the Pekalongan City Government in the Movement Towards 100 Smart City programs. One effort that can be made to optimize the use of information technology is the executive dashboard for monitoring RT / RW activities. In 2019, Pekalongan City has 340 RW and 1660 RT. The existence of this executive dashboard application can optimize the role of RT and RW and all information at the lower level can be obtained immediately, such as information on population data, submission of grants and assistance, and others. The information in the monitoring dashboard is the realtime data that currently exists. This research will make a dashboard monitoring RT / RW activities with a prototype model approach. The prototype model and Joint Application Development (JAD) are the most widely used models in creating executive dashboards. The research steps started from data collection, data analysis, application design, application development and testing. From the data collected, a functional and non-functional requirements analysis process was carried out. After that the application design process is carried out and conti nued with the design implementation in the application development process. Then from the results of the Alpha Test and Beta Test, the application can work according to functional and non-functional needs. In the future, this application prototype can be developed in conjunction with the One Data application in Dinas Komunikasi dan Informatikan (Diskominfo) Pekalongan City. Keywords: Executive dashboard, smart city, prototype.
PEMANFAATAN PIECES FRAMEWORK UNTUK ANALISA SISTEM INFORMASI RESERVASI DESTINASI WISATA DI KOTA PEKALONGAN Much. Rifqi Maulana; Frisca Frishiliani Putri; Anas Syaifudin; Prastuti Sulistyorini
JURNAL LITBANG KOTA PEKALONGAN Vol. 20 No. 2 (2022)
Publisher : Badan Perencanaan Pembangunan, Penelitian dan Pengembangan Daerah (Bappeda) Kota Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54911/litbang.v20i2.178

Abstract

The Tourism Destination Reservation Information System in Pekalongan City is an application that functions as a media for ordering tourist tickets online, managing tourist destination revenue results, displaying tourist locations, tourist details and the number of visitors to tourist destinations. Identification and evaluation of the system needs to be done to find out how satisfied users of the system. One method that can be used is the PIECES (Performance, Information and Data, Economics, Control and Security, Efficiency, and Service) Framework. Based on the results of the analysis that has been carried out by the Pieces Framework, it was found that the performance variable obtained a value of 2.30, information obtained a value of 2.47, economics obtained a value of 2.68, control obtained a value of 2.55, efficiency obtained a value of 2.46 and service obtained a value of 2.48. While the average number of each variable is 2.49 and is included in the VERY SATISFIED category. With these results it can be concluded that users are very satisfied with the Tourist Destination Reservation Information System in Pekalongan City. Keywords: Information System, tourist destination reservation, pieces framework
ANALISIS CLUSTER PENENTUAN PROMOSI PRODUK PASCA PANDEMI COVID 19 DENGAN METODE K MEANS Devi Sugianti; Arief Soma Darmawan; Anas Syaifudin; Risqiati Risqiati
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 7 No. 1 (2023): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol7No1.pp20-24

Abstract

The impact of the COVID-19 pandemic has been felt by all sectors, including the economic sector. UMKM have really felt the impact after the covid 19 pandemic with declining sales turnover. This study aims to classify products from UMKM that are not selling well and selling well. The K means method was chosen for grouping because it is simple and the K means method can group according to the same criteria grouped into a data cluster, for different data entered into another cluster. There are 28 data sets which will be grouped into 2 clusters . With the criteria of total goods sold, total transactions, difference in days and final stock. The data was taken from January 2022 to August 2022. After clustering, it was found that C1 had 12 products that were selling well, and for C2 there were 16 products that were not selling well. Therefore, UMKM can carry out sales promotion strategies that are fast and precise so that products that are not selling well can increase sales volume. Promotions can be carried out in the form of discounted promotions, mailer promotions, and fractional promotions.