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All Journal Panrannuangku Jurnal Pengabdian Masyarakat Innovative: Journal Of Social Science Research Jurnal Hasil-Hasil Pengabdian dan Pemberdayaan Masyarakat (JHP2M) Journal of Mathematics, Computation and Statistics (JMATHCOS)
Rahman, Muhammad Fatur
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Humanities Computer Science & IT Education Engineering Health Professions Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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Karakteristik Malformasi Anorektal di RSUP Dr. Tadjuddin Chalid Makassar Tahun 2021-2024 Rahman, Muhammad Fatur; Gani, Aziz Beru; Darma, Sidrah; Purnamasari, Reeny; Lestari, Nur Ayu
Innovative: Journal Of Social Science Research Vol. 5 No. 1 (2025): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v5i1.17316

Abstract

This study aims to analyze the characteristics of anorectal malformation (AMR) patients treated at Dr. Tadjuddin Chalid General Hospital, Makassar City in the period 2021 to 2024. Using univariate analysis methods with medical record data, this study presents an overview of gender, initial age at surgery, anorectal malformation variants, and types of surgery performed on patients. The results showed that male patients dominated MAR cases with a proportion of 74.6%, while the other 25.4% were female. The initial age of surgery in most patients was ≤ 2 days (44.4%). The most common type of malformation found was the type without fistula (87.3%), followed by several types of rectovaginal, rectovesical, and other fistulas. Colostomy was the most common first surgical procedure performed, with 69.8% of patients undergoing the procedure. These findings are consistent with previous studies showing a male predominance in the incidence of MAR and a tendency to perform colostomy in the early stages of treatment. This study is expected to provide a clearer picture of the characteristics of MAR patients in Indonesia and the importance of early diagnosis and treatment to prevent complications.
Bimbingan Belajar Mahasiswa Matematika KKNT 2022 Sebagai Upaya Peningkatan Pengetahuan Akademik Anak-Anak Desa Mallongi-Longi, Kabupaten Pinrang, Sulawesi Selatan Side, Syafruddin; Irwan, Irwan; Farhan, Muhammad; Rahman, Muhammad Fatur; Ahmar, Ansari Saleh
Panrannuangku Jurnal Pengabdian Masyarakat Vol. 3 No. 1 (2023)
Publisher : Lembaga Penelitian dan Pengembangan Teknologi dan Rekayasa, Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/panrannuangku1628

Abstract

Bimbingan belajar yang diadakan pada kegiatan KKN Tematik merupakan suatu kegiatan yang bertujuan untuk meningkatkan pengetahuan akademik dan meningkatkan kualitas karakter dari anak-anak yang sedang menempuh pendidikan di Desa Mallongi-Longi, Kabupaten Pinrang, Sulawesi Selatan. Kegiatan tersebut diadakan di luar jam sekolah dan dilaksanakan sebanyak dua kali dalam sepekan. Sasaran dari kegiatan ini ialah anak-anak yang sedang berada di tingkatan SD dan SMP sederajat.
PKM Kegiatan Bakti Sosial “Delapan” (Delta Peduli Lingkungan) sebagai Wujud Kepedulian dan Cinta Lingkungan Bersama Masyarakat Desa Lerang, Kecamatan Lanrisang, Kabupaten Pinrang Arwadi, Fajar; Sidjara, Sahlan; Armasari, Fanny; Djam'an, Nurwati; Rahman, Muhammad Fatur; Safitri N.N, Novi; Mutmainnah MR, Luthfiah; Sutamrin; Zaki, Ahmad
Jurnal Hasil-Hasil Pengabdian dan Pemberdayaan Masyarakat Vol. 2 No. 1 (2023): Volume 02 Nomor 01 (April 2023)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jhp2m.v2i1.175

Abstract

Real Work Lecture (KKN) is one form of community service activities by universities carried out by students under the guidance of lecturers and local government leaders. Through KKN, students can apply the knowledge they have acquired in college into real life. KKN-T students who have the post in Lerang Village made a work program in the form of “Eight” Social Service activities (Delta Cares for the Environment). Social service is an activity carried out by individuals or groups as a form of concern for the surrounding environment. Social service is carried out by cleaning the environment. The targets of social service activities are mosques, village offices, fields and the surrounding environment. In general, the “eight” social service activities (Delta Cares for the Environment) went well and smoothly. and get full support from the community and with this social service activity, it is hoped that the community will have the motivation to keep the environment clean.
Generalized Space-Time Autoregressive Moving Average Model with Rainfall as Exogenous Variable for Inflation Data in Sulawesi Island Rahman, Muhammad Fatur; Ihsan, Hisyam; Sanusi, Wahidah
Journal of Mathematics, Computations and Statistics Vol. 8 No. 2 (2025): Volume 08 Nomor 02 (Oktober 2025)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v8i2.8798

Abstract

The Generalized Space-Time Autoregressive Moving Average with Exogenous Variables (GSTARMAX) model is an extension of the Generalized Space-Time Autoregressive Moving Average (GSTARMA) model, incorporating an exogenous variable (X) to enhance model accuracy while accounting for external factors. The advantage of the GSTARMAX model is its ability to accommodate location heterogeneity and generate a picture of an event for several future periods while considering other factors outside the scope of observation. This study applies the GSTARMAX model approach to analyze inflation data in Sulawesi Island, considering rainfall as an exogenous variable. Given the extreme and unpredictable climate changes, particularly rainfall in the Sulawesi region, which have become an annual phenomenon in recent years. This not only impacts community activities but also triggers uncertainty in future inflation. Uncontrolled inflation affects the decline in purchasing power, increases production costs, and disrupts goods distribution. Therefore, the objective of this study is to develop a model that can describe inflation in Sulawesi Island based on historical inflation and rainfall data. This study discusses the application of the Generalized Space-Time Autoregressive Moving Average with Exogenous Variables (GSTARMAX) model to analyze inflation in Sulawesi Island during the period 2020-2024. The data collected are from six provinces in Sulawesi Island: South Sulawesi, Southeast Sulawesi, West Sulawesi, Central Sulawesi, North Sulawesi, and Gorontalo. This study uses inverse distance weighting and cross-correlation normalization to build the model. The results indicate that the GSTARMAX (11;0;0) (1;2;0) or GSTARX (11) (1;2;0) model using cross-correlation normalization weights is the best model for inflation data in Sulawesi Island, with residuals that meet the white noise assumption. This means the model can be used to forecast future inflation.
Co-Authors Ahmad Zaki Ahmar, Ansari Saleh Armasari, Fanny Darma, Sidrah Djam'an, Nurwati Fajar Arwadi Gani, Aziz Beru Hisyam Ihsan Irwan Irwan Lestari, Nur Ayu Muhammad Farhan Mutmainnah MR, Luthfiah Purnamasari, Reeny Safitri N.N, Novi Sidjara, Sahlan Sutamrin Syafruddin Side Wahidah Sanusi