Journal title | Journal of Intelligent Software Systems - JISS |
Initials | JISS |
Abbreviation | J. Int. Intl. Sys. Soft |
Frequency | Biannual (July and December) |
Type of Journal | Academic/Scholar Journals |
ISSN | 2962-7702 |
DOI | 10.26798 |
Editor-in-chief | Dr. Bambang P.DP. |
Publisher | Magister of Information Technology |
Citation Analysis | Google Scholar| Sinta | Garuda | Scilit |
Journal of Intelligent Software Systems (JISS) is open access, peer-reviewed international journal that will consider any original scientific article that expands the field of Intelligent Software Systems. The journal aims to publish articles from experts and researchers interested in Intelligent Software Systems.
Our international journal will be published with a limited number of papers in each issue.

Manuscripts must be original and shown to be both original and educationally interesting to an international audience. JISS's goal is to promote Intelligent Software Systems by publishing relevant peer-reviewed critical and basic science information.
Any visitor to this site can browse the abstracts but to read the contents and download the PDF files, you need to be a registered user and log in. Registration is free and your contact information will only be used to inform you when a new issue is published.
Authors should submit only papers that have been carefully proofread and polished. Manuscripts are accepted with the understanding that they are an original or extended version of previously published papers in conferences and/or journals.
Before submission please make sure that your paper is prepared using the journal paper template. The authors must refer to JISS Journal for writing format and style (Please download and use as a template for initial manuscript submission in LATEX). This will ensure fast processing and publication. Any papers not fulfilling the requirements based on the guideline of the authors will not be processed.
Vol 2, No 1 (2023): July
Table of Contents
Articles
IOT BASED SOIL MOISTURE MONITORING AND SOIL MOISTURE PREDICTION USING LINEAR REGRESSION (CASE STUDY OF VINCA PLANTS)
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Kuindra Iriyanta, Bambang Purnomosidi Dwi Putranto, Widyastuti Andriyani
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1 -- 5
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ANALYSIS AND DESIGN OF DATA WAREHOUSE AND DATA MART BUDGET
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Hendra Maryanto, Bambang Purnomosidi Dwi Putranto, Rikie Kartadie, Muhammad Guntara, Robertus Saptoto
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6 -- 11
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ETL DATA WAREHOUSE ON PERFORMANCE MEASUREMENT
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Linda Sutriani, Indra Yatini Buryadi, Hera Wasiati, Sudarmanto Sudarmanto
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12 -- 17
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Polynomial Regression Method and Support Vector Machine Method for Predicting Disease Covid-19 in Indonesia
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Bambang Purnomosidi Dwi Putranto, Moh. Abdul Kholik, Muhammad Agung Nugroho, Danny Kriestanto
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18 -- 23
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Mushroom Image Classification Using C4.5 Algorithm
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Cucut Hariz Pratomo, Widyastuti Andriyani
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24 -- 26
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