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Journal of Information System and Artificial Intelligence

jisai
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Published by Universitas Mercu Buana Yogyakarta

ISSN : - EISSN : 27976777 DOI : https://doi.org/10.26486/jisai.v7i2.330

Core Subject : Science, Engineering,

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

Journal of Information System and Artificial Intelligence (JISAI) diterbitkan oleh Program Studi Sistem Informasi, Fakultas Teknologi Informasi Universitas Mercu Buana Yogyakarta. JISAI memuat naskah hasil-hasil penelitian dibidang Sistem Informasi, Teknologi Informasi dan Sistem Komputer. JISAI berkomitmen untuk memuat artikel berbahasa Indonesia yang berkualitas dan dapat menjadi rujukan utama par akademisi, peneliti dan praktisi dalam bidang Sistem Informasi, Teknologi Informasi dan Ilmu Komputer. Ruang Lingkup (Scope) Jurnal JISAI adalah : Data Mining E-Business / E-Commerce E-Government E-Health Enterprise Architecture Design and Management Geographic Information System (GIS) Human-Computer Interaction Human-Computer Behavior Information Security and Risk Management IS / IT Operation Management IS / IT Organization & Human Resource Management IS / IT Strategic Planning IT Governance IT Project Management Social Media in Business Big Data Research New Technology Acceptance and Diffusion Green Information System Smart City Smart Cloud Technology Web Science Information Management Information Assurance and Security Platform-based Development Parallel and Distributed Computing Software Engineering Computational Science Artificial Intelligent Decision Support System Data science Supply chain management (SCM)

Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)

Articles 115 Documents

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Pemetaan Lahan Dan Hasil Pertanian Dengan Metode Query Spatial Berbasis GIS (Sistem Informasi Geografis) Dinas Pertanian Kabupaten Manggarai Beatinus Brianevant Frananta Sitepu; Arita Witanti
Journal of Information System and Artificial Intelligence Vol. 4 No. 1 (2023): Vol. 4 No. 1 (2023): Journal of Information System and Artificial Intelligence
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v4i1.114

Indonesia is considered an agricultural country because agriculture is a strategic sector that impacts national economic growth. Agricultural products in Indonesia are influenced by geographical factors such as mountainous areas or highlands; usually, agricultural products are more dominant in vegetables and leaves. Meanwhile, for lowland areas, the type of agriculture is usually dominated by rice, secondary crops, soybeans, and grains and spices. Based on the types of agriculture above, there are differences in agricultural commodities due to differences in geographical location between the highlands and lowlands. Therefore, it is necessary to have a breakthrough in a system that can map the area based on the availability of land and types of agricultural commodities to monitor agricultural activity, especially in the Manggarai Regency agricultural office, which is currently trying to boost agricultural products. There seems to be no geographic information system for agricultural management in Manggarai Regency; thus, the researcher constituted the title "Mapping of Land and Agricultural Products Using Spatial Query Methods Based on Geographic Information Systems at the Manggarai Regency Agriculture Office" to be able to provide updated data regarding land availability and mapping. Agriculture throughout the Manggarai Regency area by displaying geographic information data that can be viewed based on the sub-district area village area to analyze the types and agricultural products within the region. This research is expected to improve the Manggarai Regency Agriculture Office to improve.

Implementasi Data Mining Menggunakan Neural Network Untuk Prediksi Penjualan (Studi Kasus: Burjo Burneo Seturan Raya) Detuer Wonda; Irfan Pratama
Journal of Information System and Artificial Intelligence Vol. 4 No. 1 (2023): Vol. 4 No. 1 (2023): Journal of Information System and Artificial Intelligence
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v4i1.162

Abstract Burjo burneo is effort business that sells various type product food and drink with fast serve. distribution process stock product conducted after inventory in warehouse _ _ run out. With supplier Process product like this precisely often affect _ profit targeted profit. Algorithm Neural Network so one solution alternative for manager for predict to sale goods for period time next with using sales data before. Prediction process started make modeling on rapidminer with hidden parameter conditions layer 3 and learning rate 0.03, next the model already formed will continued the running process for produce score desired prediction. _ Destination from prediction this is for look for score root mean square error (RMSE) with performance best for each input data. rmse is level error results regression, meaning the more small score rmse approach digit 0, then results regression will the more accurate. Sehinnga results from study this score accurate performance error _ obtained as big as 0.025.

Sistem Informasi Peramalan Stok Barang di Toko Al Umm Menggunakan Metode Single Moving Average Moch Khoirul Muna Muna; Irfan Pratama
Journal of Information System and Artificial Intelligence Vol. 4 No. 1 (2023): Vol. 4 No. 1 (2023): Journal of Information System and Artificial Intelligence
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v4i1.164

Al Umm store is a wholesale and retail store for Muslim clothing that provides various kinds of worship tools such as sarongs, mukena, caps and blankets. With the various kinds of goods available at the Al Umm store, it is difficult for the shop owner to know the stock of goods available in his shop with certainty. To record the stock of these goods, the shop owner still records it manually so the owner does not know for sure how much stock is still available in the store. Therefore, the authors took the initiative to build an application to forecast the stock of goods at the Al-Umm Store using the PHP programming language with the CodeIgniter 3 framework. The author also uses a single moving average forecasting method where this forecasting method is used to determine the amount or number of stock items which needs to be supplied at the Al-Umm shop.

Sistem Pendukung Keputusan Supplier Toko Bangunan Dengan Metode Electre Alfin Ainin Ramdhani; Putri Taqwa Prasetyaningrum
Journal of Information System and Artificial Intelligence Vol. 4 No. 1 (2023): Vol. 4 No. 1 (2023): Journal of Information System and Artificial Intelligence
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v4i1.194

Strategi Enterprise Arsitektur Teknologi Informasi Studi Kasus PT. Hikmah Pointau Moeng Sakmar
Journal of Information System and Artificial Intelligence Vol. 4 No. 1 (2023): Vol. 4 No. 1 (2023): Journal of Information System and Artificial Intelligence
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v4i1.221

The information technology used in the company is expected to provide an advantage in increasingly competitive competition over time that coincides with the development of industries in all sectors. PT. Hikmah Pointau is a bottled drinking water company (AMDK) by producing mineral water with various sizes of packaging. The production and business process combines synergy between technology and information systems to achieve the best service to consumers even though it is not yet optimized. Building a mature and integrated system in the company requires careful and measurable planning in order for business goals and customer satisfaction to be achieved. Enterprise Architecture (EA) is able to plan the overall system in the company which includes organizational and business aspects. EA’s can be used in terms of analysis, integration and documentation of the overall architecture of the organization as well as the company. In this proposal, TOGAF Framework is used to formulate and create blueprint architecture technology and SWOT analysis to support business and organizational activities to achieve the best business goals and services

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Google Scholar

Contact Name
Albert Yakobus Chandra

Contact Email
albert.ch@mercubuana-yogya.ac.id

Phone
+6285239280085

Journal Mail Official
jisai@mercubuana-yogya.ac.id

Editorial Address
Jl. Raya Wates-Jogjakarta, Karanglo, Argomulyo, Kec. Sedayu, Kabupaten Bantul, Daerah Istimewa Yogyakarta 55752

Location
Kab. bantul,

Daerah istimewa yogyakarta

INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Albert Yakobus Chandra

Contact Email albert.ch@mercubuana-yogya.ac.id

Phone +6285239280085

Journal Mail Official jisai@mercubuana-yogya.ac.id

Editorial Address Jl. Raya Wates-Jogjakarta, Karanglo, Argomulyo, Kec. Sedayu, Kabupaten Bantul, Daerah Istimewa Yogyakarta 55752

Location Kab. bantul, Daerah istimewa yogyakarta INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Albert Yakobus Chandra

Contact Email
albert.ch@mercubuana-yogya.ac.id

Phone
+6285239280085

Journal Mail Official
jisai@mercubuana-yogya.ac.id

Editorial Address
Jl. Raya Wates-Jogjakarta, Karanglo, Argomulyo, Kec. Sedayu, Kabupaten Bantul, Daerah Istimewa Yogyakarta 55752

Location
Kab. bantul,

Daerah istimewa yogyakarta

INDONESIA