Journal of Intelligent Software Systems


Journal title

Journal of Intelligent Software Systems - JISS

Initials JISS
AbbreviationJ. Int. Intl. Sys. Soft
FrequencyBiannual  (July and December)
Type of JournalAcademic/Scholar Journals
ISSN2962-7702
DOI10.26798
Editor-in-chiefDr. Bambang P.DP.
Publisher

Magister of Information Technology
Universitas Teknologi Digital Indonesia (d.h STMIK AKAKOM)

Citation AnalysisGoogle Scholar| Sinta | Garuda

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 publishes articles in all Intelligent Software Systems specialties of interest to Intelligent Software Systems, physicians, and researchers.

 


Journal Homepage Image

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.

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Vol 1, No 1 (2022): July

Table of Contents

Articles

Building a Knowledge Graph on Video Transcript Text Data
Bagas Triaji, Widyastuti Andriyani, Bambang Purnomosidi DP, Faizal Makhrus
PDF
1--13
PDF
14--26
PDF
27--54
Determining the Target of Independent Graduation for Beneficiary Families of the Hopeful Family Program
Andre Argisitawan, Widyastuti Andriyani, Bambang Purnomosidi DP, Dommy Kristomo
PDF
55--74
The Prediction on the Students’ Graduation Timeliness Using Naive Bayes Classification and K-Nearest Neighbor
Anwarudin Anwarudin, Widyastuti Andriyani, Bambang Purnomosidi DP, Dommy Kristomo
PDF
75--88