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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) CAUCHY: Jurnal Matematika Murni dan Aplikasi IQTISHODUNA Progresiva : Jurnal Pemikiran dan Pendidikan Islam Sinergi Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat MIX : Jurnal Ilmiah Manajemen Ekonomi Bisnis BAREKENG: Jurnal Ilmu Matematika dan Terapan Journal of Multidisciplinary Applied Natural Science Bulletin of Applied Mathematics and Mathematics Education Economics & Islamic Finance Journal Journal of Research on Community Engagement
Angga Dwi Mulyanto
Jurusan Matematika, UIN Maulana Malik Ibrahim Malang
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation

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MODEL HYBRID MARS ARIMA FOR TRIBAL-BASED MALARIA PREDICTION IN TANAH BUMBU DISTRICT, SOUTH KALIMANTAN Abdul Khair; Bambang Widjanarko Otok; Noraida Noraida; Angga Dwi Mulyanto; Cindy Cahyaning Astuti
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 20 No 3 (2026): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol20iss3pp1923-1936

Abstract

Tanah Bumbu Regency has the highest rate of malaria in South Kalimantan Province. Due to the non-linear fluctuations in malaria cases by ethnicity, a hybrid model combining Autoregressive Integrated Moving Average (MARS ARIMA) and Multivariate Adaptive Regression Splines was proposed for time series forecasting. The purpose of this study is to use the MARS ARIMA hybrid model to predict malaria cases by ethnicity in Tanah Bumbu Regency. The findings demonstrate that the best inputs for MARS modeling are significant lags found using ACF and PACF. The hybrid MARS ARIMA model performs better than standalone ARIMA or MARS models, according to predictions. Key findings show that the number of patients over 35 during the preceding two periods influences increases in malaria cases for the Banjar ethnic group. Cases exceeding 13 in two prior periods and 19 in one prior period are associated with increases for the Javanese group. Cases of more than two or fewer than two in the preceding two periods and more than eleven in one preceding period have an impact on increases among the Bugis. Prior cases below 26 have an impact on Banjar case declines, whereas prior cases below 13 and above 3 have a significant impact on Javanese case declines. This study demonstrates how well the MARS ARIMA hybrid model predicts malaria cases according to ethnicity.
Professional Networks, Innovative Motivation, and Learning Innovation Among Islamic Religious Education Teachers at Schools in Indonesia: An Analysis of SEM-PLS M. Mujab; Nur Ali; Angga Dwi Mulyanto; Anis Malik Thoha; Benny Afwadzi; Mahbub Humaidi Aziz
Progresiva : Jurnal Pemikiran dan Pendidikan Islam Vol. 14 No. 01 (2025): January-June
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/progresiva.v14i01.37589

Abstract

The purpose of this study is to explore the influence of professional networks and innovative motivation on learning innovation, especially in Islamic Religious Education (IRE/PAI, Pendidikan Agama Islam) teachers at schools in Indonesia. This study uses a quantitative approach with Structural Equation Modeling - Partial Least Squares (SEM-PLS) analysis. There were 241 IRE teacher respondents from various schools in Indonesia who participated in this study. The results of this analysis confirm that professional network significantly positively influences innovative motivation and learning innovation. Similarly, innovative motivation has a significant effect on learning innovation. Innovative motivation also significantly mediates the effect of social network on learning innovation. These findings mean that if professional networks are strong and innovative motivation is also great, learning innovation will increase. This research is limited to IRE teachers in Indonesia. This research adds value by focusing on the importance of professional networks and innovative motivation in encouraging increased learning innovation. It also provides new insights to education policy makers and school administrators on strategies to increase teachers' involvement in professional networks. In addition, encouraging teachers' motivation to innovate is also very important to improve their learning innovation.
SEM-PLS Training at Universitas Islam Negeri Maulana Malik Ibrahim Bambang Widjanarko Otok; Cindy Cahyaning Astuti; Angga Dwi Mulyanto; Purhadi Purhadi; Shofi Andari; Achmad Choiruddin; Santi Wulan Purnami
JRCE (Journal of Research on Community Engagement) Vol 7, No 1 (2025): Journal of Research on Community Engagement
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrce.v7i1.32959

Abstract

At Universitas Islam Negeri Maulana Malik Ibrahim Malang in 2024 SEM-PLS training will develop data analysis capabilities for lecturers and students to enhance their work on quality scientific publications. The Department of Mathematics at Faculty of Science and Technology conducted the session on May 21, 2024, where 40 people participated. Training and mentoring stands as the service method which features instruction about SEM-PLS theory alongside practical utilization of SmartPLS software for implementation. Observation activities together with documentation assessment and satisfaction questionnaire responses determine the program's outcome. Participant satisfaction reached an exceptional level because they showed positive feedback about the material presented. Time constraints together with a constrained space area negatively affected  this event. This training achieved success in providing extensive SEM-PLS understanding to students and lecturers. The activity builds campus research capacity. The organization of similar consecutive training courses is highly suggested because it will boost academic knowledge in data analysis fields.
Co-Authors Abdul Aziz Abdul Khair Achmad Choiruddin Agung Surya Mahendra Agung Surya Mahendra, Agung Surya Agus Maimun Agus Mulyono Ahmad Abtokhi Akbar Wiguna Akyunul Jannah Alfin Mustikawan Ali Djamhuri Andi Tenri Ampa Andyan Pradipta Utama Anis Malik Thoha Aqsari, Hasri Wiji Ari Kusumastuti Bambang Widjanarko Otok Bambang Widjanarko Otok Bambang Widjanarko Otok Benny Afwadzi, Benny Cindy Cahyaning Astuti Cindy Cahyaning Astuti Dewi Saroh Dwi Suheriyanto Dwi Trijoyo Purnomo, Jerry Elly Susanti Endang Widhiyastuti Erry Rimawan Fachrur Rozi Farida Elmi Fitria Nur Hasanah Hairur Rahman Hartanti, Oktarina Eka Heni Widayani Hisyam Fahmi Indah Tri Susilowati Jannah, Akyunnul M. Al Musadieq M. Al Musadieq, M. M. Mujab Mahbub Humaidi Aziz Makkulau Makkulau Muhammad Saefi Ni Wayan Surya Wardhani Nofiantoro, Ugi Noraida Noraida Noviana Dewi Novita Sari Nugroho, Oktavianto Ashror Nur Ali Pannangngareng Makkulau, Andi Tenri Purhadi Purhadi Purwanto S. Katidjan Purwati Purwati Rahmania Sri Untari Rofiaty, Rofiaty Santi Wulan Purnami Setyo Riyanto Setyowati, Ernaning Shofi Andari Sholahuddin, Mohammad Solimun, Solimun Sri Harini Sri Harini Suharno Pawirosumarto Sutarman, Novia Nila Syaiful Mustofa Tarranita Kusumadewi Tri Harningsih Try Noviyanti Wibawa, Gusti N.A.