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All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Jurnal Statistika Universitas Muhammadiyah Semarang Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Jurnal Ibriez : Jurnal Kependidikan Dasar Islam Berbasis Sains BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Kreativitas PKM Variance : Journal of Statistics and Its Applications Jurnal Varian Proceedings of Annual Conference for Muslim Scholars Jurnal Statistika dan Aplikasinya Parameter: Journal of Statistics WISDOM: Jurnal Pendidikan Anak Usia Dini Journal of Research Applications in Community Services Eksponensial STATISTIKA
M. Fathurahman
Universitas Mulawarman
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Health Professions Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Mengeksplorasi Masalah Kejahatan dari POV Statistik dengan Regresi Binomial Negatif Dani, Andrea Tri Rian; Fathurahman, M.; Ni'matuzzahroh, Ludia; Putri Permata, Regita; Putra, Fachrian Bimantoro
Jurnal Varian Vol. 8 No. 2 (2025)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v8i2.4445

Abstract

Criminality is a complex issue in Indonesia that is very important to the government, law enforcement agencies, and society. The underlying causes of Indonesia's crime problem are complex and impacted by various circumstances. The aim of this research is to model the crime problem in Indonesia and determine the influencing factors.  The method used in this research is Negative Binomial Regression. The results of the study show that the negative binomial regression model can be used to model criminal problems because the variance value is more significant than the average. Based on the parameter significance test results, both simultaneously and partially, the open unemployment rate, Gini ratio, average years of schooling, and prevalence of inadequate food consumption significantly affect the crime rate, with an Akaike’s Information Criterion Corrected (AICc) value of 698,098. These findings suggest that addressing economic inequality, unemployment, education, and food security could help reduce crime in Indonesia. Policies aimed at improving job opportunities, reducing income disparity, and enhancing education and food security are crucial in mitigating crime. This study provides valuable insights for policymakers and law enforcement agencies, offering a foundation for more targeted and effective crime prevention strategies. Future research could employ the robust Poisson Inverse Gaussian Regression method to avoid the overdispersion problem. 
INVERSE GAUSSIAN REGRESSION MODELING AND ITS APPLICATION IN NEONATAL MORTALITY CASES IN INDONESIA Fathurahman, M.
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 4 (2022): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (416.488 KB) | DOI: 10.30598/barekengvol16iss4pp1197-1206

Abstract

Inverse Gaussian Regression (IGR) is a suitable model for modeling positively skewed response data, which follows the inverse Gaussian distribution. The IGR model was formed from the Generalized Linear Models (GLM). This study aims to model the IGR with applied to model the factors influencing the infant mortality cases of provinces in Indonesia. Estimation of the IGR model parameters was employed by the Maximum Likelihood Estimation (MLE) and Fisher scoring methods. The Likelihood Ratio Test (LRT) and Wald test were used for hypothesis testing of significance parameters. The IGR model was applied to the infant mortality cases of provinces in Indonesia in 2020. The data for modeling infant mortality cases using IGR were obtained from the Ministry of Health of the Republic of Indonesia and the Central Bureau of Statistics. The result shows that the factors influencing the infant mortality cases of provinces in Indonesia based on the IGR model were: the percentage of pregnant women who received blood-boosting tablets, the percentage of low birth weight, the percentage of complete neonatal visits (KN3), the percentage of toddlers who received early initiation of breastfeeding, the percentage of toddlers who are exclusively breastfeeding, the percentage of toddlers who received complete primary immunization, the percentage of households with access to adequate drinking water, and the percentage of households with access to appropriate sanitation.
Pendampingan Desain Infografis dengan Statistika dan Sains Data Bagi Siswa/Siswi MAN 1 Kota Samarinda Muhammad Fathurahman; Dani, Andrea Tri Rian; Fauziyah, Meirinda; Darnah; Goenjatoro, Rito; Hayati, Memi Nor; Prangga, Surya; Siringoringo, Meiliyani; Oroh, Chiko Zet
Journal of Research Applications in Community Service Vol. 4 No. 3 (2025): Journal of Research Applications in Community Service
Publisher : Universitas Nahdlatul Ulama Sunan Giri Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/jarcoms.v4i3.5158

Abstract

Kegiatan pengabdian masyarakat ini bertujuan untuk memberikan pendampingan desain infografis yang mengintegrasikan ilmu statistika dan sains data serta meingkatkan literasi data bagi siswa dan siswi MAN 1 Kota Samarinda. Dalam era digital yang ditandai dengan kemudahan akses informasi, masih terdapat kekurangan pemahaman di kalangan siswa mengenai pemanfaatan teknologi, khususnya dalam desain infografis berbasis statistika dan sains data. Infografis merupakan alat yang efektif untuk menyajikan informasi secara visual yang membantu mempercepat pemahaman data kompleks menjadi lebih mudah dipahami. Aplikasi Canva dipilih sebagai platform dalam pendampingan ini karena kemudahan penggunaannya, yang memungkinkan siswa untuk berkreasi secara mandiri. Berdasarkan hasil tes awal, siswa belum memanfaatkan dengan optimal pengembangan ilmu data sains dalam pembuatan desain infografis. Oleh karena itu, kegiatan ini dirancang untuk memberikan pemahaman dan keterampilan praktis kepada peserta agar mereka dapat menggunakan teknologi visual dalam mengelola dan menyampaikan informasi berbasis data dengan lebih efektif dan inovatif. Melalui metode pengabdian ini, diharapkan terjadi peningkatan pemahaman dan keterampilan dalam penggunaan desain infografis serta pemanfaatan sains data literasi siswa yang dapat diterapkan dalam kegiatan belajar mengajar, terutama dalam pengolahan dan penyajian data statistik.
IMPLEMENTASI METODE NEIGHBOR WEIGHTED K-NEAREST NEIGHBOR PADA PENGKLASIFIKASIAN STATUS GIZI BALITA DI WILAYAH KERJA PUSKESMAS WONOREJO KOTA SAMARINDA Aisha, Putri; Fathurahman, M.; Prangga, Surya
VARIANCE: Journal of Statistics and Its Applications Vol 6 No 1 (2024): VARIANCE: Journal of Statistics and Its Applications
Publisher : Statistics Study Programme, Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/variancevol6iss1page11-20

Abstract

Neighbor Weighted K-Nearest Neighbor (NWKNN) merupakan salah satu metode klasifikasi dalam machine learning yang dikembangkan dari metode K-Nearest Neighbor (KNN). Metode NWKNN memiliki kelebihan dibanding KNN, terutama untuk menangani masalah jumlah kelas yang tidak seimbang dalam pengklasifikasian data mining. Konsep dari metode NWKNN adalah pemberian bobot yang besar untuk kelas minoritas dan bobot yang kecil untuk kelas mayoritas. Metode NWKNN dalam penelitian ini diterapkan pada pengklasifikasian status gizi balita di Kota Samarinda. Menurut World Health Organization (WHO), Indonesia merupakan salah satu negara dengan prevalensi stunting pada balita tertinggi di regional Asia Tenggara pada Tahun 2005 sampai dengan 2017, dengan rata-rata prevalensi stunting pada balita sebesar 36,4%. Status gizi adalah salah satu faktor penyebab terjadinya stunting pada balita. Penelitian ini bertujuan mendapatkan hasil pengklasifikasian status gizi balita menggunakan metode NWKNN dan nilai akurasinya. Data yang digunakan adalah data balita di wilayah kerja Puskesmas Wonorejo Kota Samarinda Tahun 2022. Berdasarkan hasil klasifikasi status gizi balita menggunakan metode NWKNN, terdapat 93 balita yang diklasifikasikan secara tepat dari 128 balita dengan nilai akurasi sebesar 72,65%. Nilai akurasi ini termasuk cukup baik dan menunjukkan bahwa metode NWKNN layak digunakan untuk memprediksi ketepatan klasifikasi status gizi balita di wilayah kerja Puskesmas Wonorejo, Kota Samarinda. .
INTERELASI NILAI MORAL DALAM SERAT WEDHARAGA TERHADAP SUBSTANSI MATA KULIAH PEMBELAJARAN DAN MATERI AKIDAH AKHLAK DI SD/MI Fathurahman, M; Nila Puspitasari, Ratna
Ibriez : Jurnal Kependidikan Dasar Islam Berbasis Sains Vol 8 No 2 (2023)
Publisher : Universitas Islam Negeri Kiai Ageng Muhammad Besari Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21154/ibriez.v8i2.435

Abstract

Penelitian ini dilatarbelakangi oleh kegelisahan akademik peneliti perihal minimnya pembahasan secara intens terkait serat-serat peninggalan para pujangga era terdahulu. Padahal jika kita menengok kebelakang sesungguhnya banyak sekali substansi yang disuguhkan oleh serat-serat tersebut yang senyatanya masih relevan jika dipelajari dewasa ini. Selain itu, dengan mempelajari karya para pujangga pada era silam semakin meneguhkan bahwa para pendahulu bangsa ini bukan saja memiliki pengetahuan yang mumpuni bahkan memiliki peradaban yang sesungguhnya tidak kalah dengan temua-temuan yang ada di negara luar. Pada penelitian ini peneliti menemukan bahwa terdapat interelasi yang nyata antara nilai moral yang ada dalam serat Wedharaga karya Ranggawarsita dengan nilai moral dalam Akidah Akhlak SD/MI. Adapun upaya dalam memadu padankan agar benar-benar sampai pada peserta didik yakni dengan cara. Pertama, mengenalkan nilai moral dari kedua sumber terkait atau yang disebut dengan moral knowing. Langkah kedua adalah moral loving yakni memberikan kebiasaan nilai moral tertentu agar anak menyukainya. Ketiga dengan cara moral doing, membiasakan nilai moral yang baik dalam kehidupan harian.
EKO-TEOLOGI AL-QURAN: INTERNALISASI KARAKTER SADAR LINGKUNGAN BAGI GENERASI ALPHA INDONESIA Fathurahman, M.
Ibriez : Jurnal Kependidikan Dasar Islam Berbasis Sains Vol 7 No 2 (2022)
Publisher : Universitas Islam Negeri Kiai Ageng Muhammad Besari Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21154/ibriez.v7i2.715

Abstract

Persoalan kerusakan lingkungan merupakan persoalan global yang sampai hari ini masih terjadi. Beragam upaya sudah dilakukan, dari pembuatan undang-undang hingga konferensi setingkat dunia, namun hasilnya masih belum optimal. Persoalan kerusakan ini sudah bukan lagi pada level etis-ekologis namun sudah masuk pada level etis-teologis, yaitu perlunya agama turut berbicara dalam mencari solusi. Sebenarnya seluruh agama memiliki pandangan masing-masing terkait problem lingkungan ini, yang umumnya menunjukkan tingkat kekhawatiran yang sama yakni ketakutan jika bumi ini menjadi rusak secara permanen, akan tetapi peneliti hanya memfokuskan pada agama Islam saja. Islam dalam hal ini memiliki satu solusi yang tepat yakni eko-teologi al-qur’an dimana pembahasannya mengarah kepada perlunya melakukan kelanjutan ekologi guna menjawab tantangan modernitas industrial. Ayat di dalam al-qur’an banyak sekali menganjurkan tentang pentingnya tanggung jawab seorang wakil Tuhan di bumi yakni dengan cara melestarikan, melakukan pemanfaatan namun memperhatikan kelestariannya. Menjauhkan dari eksploitasi, yang berakibat memunculkan anomali cuaca yang sangat mengganggu warga bumi. Disamping itu, eko-teologi juga menganjurkan agar sebuah negara juga turut serta memiliki aturan yang jelas untuk menjaga kelestarian bumi ini.
THE VALUE OF GENDER INCLUSIVENESS IN THE NOVEL PELABUHAN TAK BERTEPI AND ITS URGENCY FOR CHILDREN'S PSYCHIC DEVELOPMENT (SARA MILLS CRITICAL DISCOURSE ANALYSIS STUDY) Fathurahman, M; Kalsum, Umi
Ibriez : Jurnal Kependidikan Dasar Islam Berbasis Sains Vol 10 No 1 (2025)
Publisher : Universitas Islam Negeri Kiai Ageng Muhammad Besari Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21154/mmn2qm49

Abstract

This study raises a theme that actually has a strong relevance to the psychological development of children. It is gender inclusiveness where the purpose of this material is to provide a basic understanding of the attitudes that children should have in relation to the relationship between men and women. The approach in this study uses discourse analysis which is divided into 3. (1) macro, which studies the global meaning of a text that can be observed. (2) superstructure, which is discourse related to the framework of a text. (3) microstructure, which is the essence of discourse seen from the micro part of a sentence. Furthermore, in general, what can be concluded from this research is the mission that the main subject wants to convey in the storytelling of the novel. First, the resistance to the patriarchal system. Second, the exploration of women's attitudes in carrying out their responsibilities both in the domestic and public sectors, which actually do not need to be positioned as second or third. In addition, this material is also in line with the theory built by Vygotsky, namely the concept of socioculture and scaffolding.
Klasifikasi Data Pasien Penyakit Tuberkulosis Paru Menggunakan Metode Probabilistic Neural Network  (Studi Kasus: Puskesmas Telaga Sari Kota Balikpapan) Ramadhini, Laila Thalia; Fathurahman, M.; Wulan Sari, Nariza Wanti
EKSPONENSIAL Vol. 16 No. 2 (2025): Jurnal Eksponensial
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/eksponensial.v16i2.1514

Abstract

Pulmonary tuberculosis is an infectious disease that remains a major health problem in Indonesia. Early detection of this disease is very important to improve the effectiveness of treatment and prevention of its spread. The purpose of this study is to classify laboratory test data of pulmonary tuberculosis patients using the Probabilistic Neural Network method. The data used are medical records of patients with pulmonary tuberculosis disease at Puskesmas Telaga Sari, Balikpapan City in 2023-2024. The variables used are age, weight, systolic blood pressure, diastolic blood pressure, cough duration, fever duration, shortness of breath, and loss of appetite. The classification process involves the stages of encoding, data normalization, division of training data and testing data using a proportion of 80:20, and calculation of accuracy using confusion matrix. The results showed that classification using the Probabilistic Neural Network method was appropriate in classifying pulmonary tuberculosis disease and obtained the best smoothing parameter ( ) value of 0.1 with an accuracy value of 82.95% for training data and 95.45% for testing data.
Environmental Ethics in Ali Yafie`S Perspective and Its Significance for Environmental Conservation in Indonesia Fathurahman, M.; Suryaningsih, Ruliq
Proceedings of Annual Conference for Muslim Scholars Vol 3 No 1 (2019): AnCoMS 2019
Publisher : Koordinatorat Perguruan Tinggi Keagamaan Islam Swasta Wilayah IV Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (321.151 KB) | DOI: 10.36835/ancoms.v3i1.232

Abstract

The real environmental problems are not just a problem of garbage, pollution, illegal logging, burning of forests and so on, but it is already in the field of human life point of view. Thus, the environmental problem actually comes from the mindset and egocentric attitude of humans in seeing themselves and their surroundings. The human self needs with all its aspects then fulfilling by sacrificing the environment is precisely the essence of the environmental problem itself. If that happens, then the problem might not be finished by curative actions (restoration, reforestation, etc.). Therefore, putting environmental ethics as a solution is the right thing. This is because environmental ethics includes not only technical issues, but also provides awareness that environmental damage is not only physically harmful but it is actually morally harmful. Hence, there are areas that are considered more crucial than the occurrence of environmental problems, namely aspects of morality. So that providing learning about environmental ethics is considered more principle and effective in reducing environmental problems
Penanaman Karakter Peduli Lingkungan Melalui Pengajaran Fikih Ekologi Pada Anak Usia Dini Fathurahman, M
WISDOM: Jurnal Pendidikan Anak Usia Dini Vol. 2 No. 2 (2021)
Publisher : Institut Agama Islam Negeri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21154/wisdom.v2i2.3367

Abstract

This research is a library research, with the title Cultivating Environmentally Concerned Characters through Teaching Ecological Jurisprudence in Early Childhood. This research uses library materials as the main data source, and the main references in this research are ecological and Islamic books, character education and books on early childhood. The purpose of this study is combining two materials at once, namely environmental fiqh material and its role in shaping the character of early childhood. The results showed. First, environmental damage or the current ecological crisis is not actually due to ecological succession factors. However, the damage occurred precisely because of an anthropogenic disaster by human activities. Second, in environmental fiqh it contains material that is very important to study, namely maqoshidu shari'ah, especially hifdzu al-bi'ah. Thirdly, environmental care character is very urgent, especially given to early childhood, and for now studying this section is an obligation.
Co-Authors Abidin, Ahmad Aliful Aisha, Putri Andrea Tri Rian Dani Annisa Zuhri Apridayanti Apridayanti, Annisa Zuhri Arif, Zainul Astafira, Ilyas Dani, Andrea Tri Rian Darnah Darnah, Darnah Dini Elizabeth Erlyne Nadhilah Widyaningrum Fachrian Bimantoro Putra Fauziyah, Meirinda Goenjatoro, Rito Hasanah, Siti Hadijah Ika Purnamasari Khairun Nida Khasanah, Lisa Dwi Nurul Meiliyani Siringoringo Meirinda Fauziyah Memi Nor Hayati Memi Nor Hayati Muh. Irfan Murdani, Endah Mulia Nariza Wanti Wulan Sari Ni'matuzzahroh, Ludia Ningsih, Eva Lestari Nurmayanti, Wiwit Pura Oroh, Chiko Zet Orvanita Patiallo, Surya Randang Putra, Fachrian Bimantoro Putri, Ditha Reginna Ramadhini, Laila Thalia Rasidia, Fikri Ratna Nila Puspitasari Regita Putri Permata Rito Goejantoro, Rito Roejantoro, Rito Rut Esra Sekar Nur Utami Sifriyani Sifriyani Sinaga, Julia Oriana Siringoringo, Meiliyani Sri Wahyuningsih Surya Prangga Suryaningsih, Ruliq Suyitno Suyitno Suyitno Suyitno Suyono, Ari Krisna Umi Kalsum Yusrian Paliling