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All Journal Epsilon: Jurnal Matematika Murni dan Terapan AKSIOMA: Jurnal Program Studi Pendidikan Matematika Desimal: Jurnal Matematika BAREKENG: Jurnal Ilmu Matematika dan Terapan Journal of Fundamental Mathematics and Applications (JFMA) Pattimura Proceeding : Conference of Science and Technology Jurnal Pengabdian Pada Masyarakat OMNICODE Journal (Omnicompetence Community Developement Journal)
Hijriati, Naimah
Program Studi Matematika Fakultas MIPA Universitas Lambung Mangkurat
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STATISTICAL CONTROL ANALYSIS OF THE STUDENT’S FINAL ASSIGNMENT COMPLETION PERIOD AT THE MATHEMATICS AND NATURAL SCIENCES FACULTY Febriani, Arika; Susanti, Dewi Sri; Hijriati, Na'imah
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 2 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (573.525 KB) | DOI: 10.30598/barekengvol16iss2pp385-392

Abstract

The final assignment is one of the requirements to get a bachelor’s degree for college students at the Faculty of Mathematics and Natural Sciences (FMIPA) University of Lambung Mangkurat (ULM). The average period of completion of the final assignment in the year 2015 until 2019 is 8 months, while the determined specification by the guideline is 6 months. The aim of this research is to identify the quality control of the final assignment completion process and whether satisfy the determined specification using statistical quality control. The used data in this research is the student’s final assignment completion period (variable data) and the nonconforming proportion of data (attribute data). The and control charts are used for variable data and control chart for attribute data and process capability analysis. The result of variable data is that the average period of final assignment completion is statistically in control with a control limit of months. For attribute data concluded that final assignment completion is statistically in control with a big average proportion that is . For the capability analysis process by index and value sequentially is and for the DPU value is . This shows that the completion period of the student’s final assignment of FMIPA ULM is not capable to fulfill the specified standard of the period.
THE CONSTRUCTION OF SOFT SETS FROM FUZZY SUBSETS Hijriati, Na'imah; Yulianti, Irma Sari; Susanti, Dewi Sri; Anggraini, Dewi
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 3 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss3pp1473-1482

Abstract

Molodtsov introduced the concept of soft sets formed from fuzzy subsets in 1999. The soft set formed from a fuzzy subset is a particular form of a soft set on its parameter set. On a soft set formed from a fuzzy subset, the parameter used is the image of a fuzzy subset which is then mapped to the collection of all subsets of a universal set. This research explains the construction of soft sets formed from fuzzy subsets. We provide the sufficient condition that a soft set formed from a fuzzy subset is a subset of another soft set. Also, give some properties of the soft sets formed from a fuzzy subset related to complement and operations concepts in soft sets
LOWER LEVEL SUBGRUPOID Abdurrahman, Saman; Hijriati, Na'imah; Thresye, Thresye; Idris, Moch; Lestia, Aprida Siska
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol 19, No 2 (2025)
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/epsilon.v19i2.15332

Abstract

This study investigates the structure of anti-fuzzy subgroupoids within the framework of groupoids, extending the theory of fuzzy subgroups beyond traditional group-based algebraic systems. While numerous fuzzy approaches have been applied to groups and semigroups, the exploration of groupoids algebraic structures without the necessity of identity or inverse elements remains limited, particularly in the context of anti-fuzzy theory. This research addresses that gap by developing a mathematical characterization of anti-fuzzy subgroupoids and systematically analyzing their relationship with lower-level subsets. A key result demonstrates that every subgroupoid can be represented as a lower-level subset of a suitably constructed anti-fuzzy subgroupoid. Furthermore, it is shown that equality of two lower-level subsets occurs if and only if no element exists with a membership value strictly between the corresponding thresholds. Employing a deductive and axiomatic approach, this work contributes to the theoretical advancement of fuzzy structures in non-classical algebra. It offers a foundation for future applications in uncertainty-based decision systems
Integrated Artificial Intelligence Mentoring to Enhance Teacher Competence at SMP Negeri 12 Banjarbaru Lissa, Hermei; Hijriati, Na'imah; Abdurrahman, Saman; Idris, Moch; Lestia, Aprida Siska; Shiddiq, Muhammad Mahfuzh; Sa’adh, Yalela; Oktaviani, Yeni Rahma
OMNICODE Journal (Omnicompetence Community Developement Journal) Vol. 5 No. 1 (2025)
Publisher : UrbanGreen Central Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55756/omnicode.v5i1.230

Abstract

The integration of Artificial Intelligence (AI) in school learning can enhance instructional quality and efficiency; however, its use by teachers remains fragmented. This community development activity, conducted by the Department of Mathematics at Universitas Lambung Mangkurat, aimed to improve teachers’ knowledge and skills through training and mentoring that emphasized the integrated use of ChatGPT, Gamma AI, and Presentations.AI. The program was implemented at SMP Negeri 12 Banjarbaru, Indonesia, involving teachers from various subject areas. Activities included AI-based training, hands-on mentoring, and pre- and post-activity evaluation. Data were analyzed using the Wilcoxon Signed-Rank Test. Results showed that improvements related to ChatGPT were not statistically significant (p > 0.05), whereas improvements with Gamma AI were statistically significant (p < 0.05). Improvements in Presentations.AI usage and integrated AI application skills were highly significant (p < 0.01). These findings indicate that integrated AI-based mentoring effectively enhances teacher competence at the junior high school level.
Co-Authors Achmad Riduansyah Adelia Niken Puspitasari Ahmad Madani Aisjah Juliani Noor Amalia, Zharfa Rizqi Andi Tri Wardana Andriani, Asfia Audinta Sakti Firmansyah Ayu Nanie Maretha Dewi Anggraini Dewi Sri Susanti Faisal Faisal Febriani, Arika Fiqriani Noor Geofani Setiawan Geofani Setiawan Gunawan, I Wayan Ari Gusti Muhammad Rosyadi Hasibuan, Lilis Harianti I Gede Adhitya Wisnu Wardhana Idris, Moch Idris, Mochammad Indah Emilia Wijayanti Ismania Tanjung Sari Juwita Lasterina Lestia, Aprida Siska Lissa, Hermei Mardiyana Mardiyana Maulana, Fariz Mochammad Idris Muhammad Mahfuzh Shiddiq Muhammad Rifaldy Yanwar Nailah Nailah Nooriman, Raihan Nor Hidayati Noviliani Noviliani Oktaviani, Yeni Rahma Pratama, Rendi Bahtiar Purnamayanti Purnamayanti Rahmi Hidayati Raihan Nooriman Raihan Nooriman Ridha Mahmudah Rohmalita Rohmalita Rosyadi, Gusti Muhammad Saman Abdurrahman Sa’adh, Yalela Setiawan, Geofani Sheryn Amelia Puteri Shiddiq, Muhammad Mahfuzh Sinar Ismaya Thresye Thresye Yulianti, Irma Sari Yuni Yulida