Article Per Year (5 Year)
p-Index From 2021 - 2026
4.447
P-Index
This Author published in this journals
All Journal IAES International Journal of Artificial Intelligence (IJ-AI) EKSAKTA: Journal of Sciences and Data Analysis Katalogis Jurnal Raushan Fikr International Journal of Advances in Intelligent Informatics Al-Ahwal: Jurnal Hukum Keluarga Islam Prosiding Seminar Nasional INDOCOMPAC Asy-Syir'ah: Jurnal Ilmu Syari'ah dan Hukum JOIN (Jurnal Online Informatika) Desimal: Jurnal Matematika BAREKENG: Jurnal Ilmu Matematika dan Terapan Unisda Journal of Mathematics and Computer Science (UJMC) Jurnal Riset Informatika PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Dialog Jurnal Berdaya Mandiri Indonesian Journal of Electrical Engineering and Computer Science Mathematics and Applications (MAp) Journal Enthusiastic : International Journal of Applied Statistics and Data Science MAQASIDI Jurnal Ilmiah Mahasiswa Raushan Fikr Bulletin of Applied Mathematics and Mathematics Education Bulletin of Social Informatics Theory and Application Al-Hukama: The Indonesian Journal of Islamic Family Law Jurnal Akuakultur SEBATIN PENGAMATAN: Jurnal Pengabdian Masyarakat untuk Ilmu MIPA dan Terapannya
Muhammad Muhajir, Muhammad
Department Of Statistics, Universitas Islam Indonesia
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering 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 Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 38 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 38 Documents
Search

 1   2   3   4 
The Views of Contemporer Mut'ah Marriage among Yogyakarta Shi’ite Leaders Muhammad Muhajir; Muhammad Fadli Kamil
Jurnal Dialog Vol 44 No 2 (2021): Dialog
Publisher : Sekretariat Badan Litbang dan Diklat Kementerian Agama RI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47655/dialog.v44i2.478

Abstract

This paper explicates the views of Shia leaders in Rausyan Fikr Foundation Yogyakarta on mut'ah marriage. There have been various views related to mut'ah marriage law by Rausyan Fikr leaders. On one side, Shi’ite school of thought is hitherto the only proponent to the mut'ah marriage. This research is descriptive-analytic study using normative approaches by examining the views of Yogyakarta Shi’ite leaders in justifying the marriage using Islamic law including the Qur'an, Hadith, and Fiqh principles or ushuliyyah. The study finds that there are three opinions among Shi’ite leaders in Yogyakarta; 1) Some leaders strictly prohibit due to the differences in places and conditions between Indonesia and Iran, 2)Some of them allow it with the condition that marriage must be conducted with fellow Shi’ite, 3) Some believe it is allowed according the Ja'fari school of thought without considering conditions and places. Despite the differences of views among Yogyakarta Shia leaders, these differences can be compromised by seeing that mut'ah marriage is unacceptable under normal circumstances, but in an emergency situation, it can certainly be justifiable by considering its maslahat (benefit) or mudarat (danger). Keywords: mut'ah marriage, Islamic law, Yogyakarta Shia leaders Tulisan ini membahas tentang nikah mut’ah dan penerapannya dalam pandangan tokoh Syiah di Yayasan Rausyan Fikr Yogyakarta. Diketahui bahwa terjadi perbedaan pandangan terkait hukum nikah mut’ah oleh para tokoh Rausyan Fikr. Di sisi lain, kita ketahui bahwa mazhab Syiah adalah satu-satunya mazhab yang konsisten dengan argumentasi bahwa nikah mut’ah tetap berlaku hingga akhir zaman. Penelitian ini merupakan penelitian lapangan (field research) bersifat deskriptif-analitik dengan menggunakan pendekatan normatif dengan mengkaji pandangan para tokoh Syiah Yogyakarta menggunakan hukum Islam secara mayoritas meliputi al-Qur’an, Hadis dan kaidah-kaidah fiqhiyyah ataupun ushuliyyah. Hasil penelitian ini adalah terdapat tiga pendapat dari tokoh Syiah di Yogyakarta; yaitu 1) melarang secara mutlak dengan alasan perbedaan tempat dan kondisi antara Indonesia dan Iran, 2) membolehkan dengan syarat pernikahan harus dilakukan dengan sesama penganut Syiah, 3) membolehkan secara mutlak berlandasan pada fikih mazhab Syiah Ja’fari tanpa mempertimbangkan perbedaan kondisi dan tempat. Terlepas perbedaan pandangan di kalangan tokoh Syiah Yogyakarta, perbedaan tersebut dapat dikompromikan dengan melihat bahwa nikah mut'ah tidak dapat diterima dalam keadaan normal, namun dalam keadaan darurat tentu dapat dipertimbangkan dan dilihat mana lebih besar maslahat dan mudaratnya. Kata Kunci: nikah mut’ah, hukum Islam, tokoh Syiah Yogyakarta
K-affinity propagation clustering algorithm for the classification of part-time workers using the internet Novendri Isra Asriny; Muhammad Muhajir; Devi Andrian
Indonesian Journal of Electrical Engineering and Computer Science Vol 24, No 1: October 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v24.i1.pp464-472

Abstract

There has been a significant increase in the number of part-time workers in the last 3 years. Data collected from sakernas BPS showed that the number of part-time workers was 125,443,748 in the second period of 2016. This number rapidly increased in 2017, 2018 and 2019 in the same period, by 128,062,746, 131,005,641, and 133,560,880 workers. Based on the increase in the last 3 years, East Java province has the highest number of part-time workers that use the internet. This research aims to determine the number of part-time workers that use the internet by using the k-affinity propagation (K-AP) clustering. This method is used to produce the optimal number of cluster points (exemplar) is the affinity propagation (AP). Three clusters were used to determine the sum of the smallest value ratio. The result showed that clusters 1, 2, and 3 have 3, 23, and 5 members in Bondowoso, Jombang, and Surabaya districts.
Random Forest Method Approach to Customer Classification Based on Non-Performing Loan in Micro Business Muhammad Muhajir; Julia Widiastuti
JOIN (Jurnal Online Informatika) Vol 7 No 2 (2022)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v7i2.842

Abstract

This study aims to classify potential customers’ characteristics based on non- performing loans through the random forest method. This research uses data obtained from Syariah Mandiri Bank branch in Jambi, which includes data on micro-financing customers in years 2016–2020. The random forest method is used for analysis. The novelty of this work is that, unlike existing researches that used other soft-computing methods, we employ Random Forest method, specifically using an imbalanced class sampling technique. The obtained results show that credit risk can be estimated by taking into account factors such as age, monthly installments, margin, price of insurance, loan principal, occupation, and long installments. The research results indicate that the sensitivity, precision, and G-mean value increase compared to using the original data. Random forest with oversampling technique has the high Area Under the ROC Curve score that is equal to 66.69%.
APPLICATION OF FUZZY PRINCIPAL COMPONENT ANALYSIS FOR THE BEST ALTERNATIVE TOURIST ATTRACTION IN YOGYAKARTA Aditya Rizq Herlandy Karjawan; Muhammad Muhajir
MAp (Mathematics and Applications) Journal Vol 5, No 1 (2023)
Publisher : Universitas Islam Negeri Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/map.v5i1.6046

Abstract

One of the regions in Indonesia that depends on the tourism sector is the Special Region of Yogyakarta Province. The Province of the Special Region of Yogyakarta itself every year becomes a tourist destination province for vacations, many tourists do not know which places are the best choices for tourists. Therefore, this research aims to make it easier for tourists to obtain information on the best tourist spots in the Province of the Special Region of Yogyakarta. Based on the data obtained from the results of distributing online questionnaires during June 2022 – July 2022. The results of the study using the Fuzzy Principal Component Analysis method, it was found that the best tourist attraction is the Prambanan Temple tourist attraction with a PCA score of 0.677057 which means that Prambanan Temple becomes a tourist attraction. The most sought after by tourist visitors, followed by the Malioboro Street Area with a PCA score of 0.48146 and Parangtirtis Beach with a PCA score of 0.369162. The results of this study are expected to help tourists determine
COMPARISON OF ACCURACY BETWEEN NEURAL NETWORK AND REGRESSION MODELS IN FORECASTING Hermansah Hermansah; Muhammad Muhajir
MAp (Mathematics and Applications) Journal Vol 5, No 1 (2023)
Publisher : Universitas Islam Negeri Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/map.v5i1.5949

Abstract

This research discusses the forecasting of the median value of owner occupied homes (MEDV) using all the other continuous variables available in the Boston dataset. The Boston dataset is a collection of data about housing values in the suburbs of Boston. The used method is Feed Forward Neural Network (FFNN) and the multiple linear regression method as a comparison. The result of the research indicates that the FFNN method is better than multiple linear regression in forecasting the median value of owner occupied homes (MEDV) using all the other continuous variables available in the Boston dataset. It is proven that the MSE and MAPE value of using the FFNN method is 15.7518 and 0.14563, whereas the value of multiple linear regression is 31.2630 and 0.21040. Based on this result, the research can be concluded that the FFNN method has the smaller MSE value, the result of the forecasting is more accurate.
ANALYSIS CLASSIFICATION SENTIMENT OF THE LARGE PRIEST OF FPI’S RETURN USING SVM CLASSIFICATION WITH OVERSAMPLING METHOD Zetta Nillawati Reyka Putri; Muhammad Muhajir
Jurnal Riset Informatika Vol. 4 No. 1 (2021): December 2021
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1061.096 KB) | DOI: 10.34288/jri.v4i1.132

Abstract

At the end of 2020, Habib Rizieq's return to Indonesia drew criticism from the public for causing crowds during the Covid-19 pandemic. News and opinions about Habib Rizieq fill internet platforms, including Twitter. The researcher wants to classify the opinion text data of Habib Rizieq's return from Twitter into positive and negative sentiments using the Support Vector Machine method. Opinion data comes from Twitter, so the data is analyzed by text mining through the preprocessing stage. The SVM classification of unbalanced data between positive and negative classes resulted in 95.06% accuracy with a negative class precision value of 84% and better than 72% recall, in the positive class the precision value was 96% less than 2% of recall 98%. While the SVM classification with the oversampling method gets 100% accuracy, precision, and recall. The results of positive sentiments are known that the public will always support and want freedom for Rizieq, for negative sentiments it is known that many people are disappointed with Rizieq regarding the lies of his swab test results.
ANALYSIS OF DYNAMIC TIME WARPING IN THE DEVELOPMENT OF GROSS REGIONAL DOMESTIC PRODUCT YOGYAKARTA Inggrid Septa Narendra; Muhammad Muhajir
Jurnal Riset Informatika Vol. 4 No. 4 (2022): September 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (880.11 KB) | DOI: 10.34288/jri.v4i4.175

Abstract

Poverty in Indonesia has become a common thing that is still difficult to handle due to the presence of the covid virus outbreak attacks are causing the inability to buy and sell transactions, export and import goods and services, then the level of inequality increases. The tool measures the inequality level in an area seen from the Gini Ratio value. The Gini Ratio notes that the DI Yogyakarta province had the highest index value in Indonesia of 0,437 in September 2020. So this study aims to minimize the inequality in the DI Yogyakarta province by using the clustering method and Dynamic Location Quotient (DLQ). The clustering method with a hierarchical algorithm using the Dynamic Time Warping (DTW) distance and the DLQ method to predict regional economic sectors. Based on the result of the clustering analysis, there were 2 clusters, and the DLQ analysis obtained as many as 11 essential and 6 NPN-base sectors. Cluster 1 has 10 GRDP sectors with two industries that will become non-base sectors in the future, while cluster 2 has 7 GRDP sectors with three sectors it will become base sectors in the future.
Improving the term weighting log entropy of latent dirichlet allocation Muhammad Muhajir; Dedi Rosadi; Danardono Danardono
Indonesian Journal of Electrical Engineering and Computer Science Vol 34, No 1: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v34.i1.pp455-462

Abstract

The process of analyzing textual data involves the utilization of topic modeling techniques to uncover latent subjects within documents. The presence of numerous short texts in the Indonesian language poses additional challenges in the field of topic modeling. This study presents a substantial enhancement to the term weighting log entropy (TWLE) approach within the latent dirichlet allocation (LDA) framework, specifically tailored for topic modeling of Indonesian short texts. This work places significant emphasis on the utilization of LDA for word weighting. The research endeavor aimed to enhance the coherence and interpretability of an Indonesian topic model through the integration of local and global weights. Local Weight focuses on the distinct characteristics of each document, whereas global weight examines the broader perspective of the entire corpus of documents. The objective was to enhance the effectiveness of LDA themes by this amalgamation. The TWLE model of LDA was found to be more informative and effective than the TF-IDF LDA when compared with short Indonesian text. This work improves topic modeling in brief Indonesian compositions. Transfer learning for NLP and Indonesian language adaptation helps improve subject analysis knowledge and precision, this could boost NLP and topic modeling in Indonesian.
Application of rule association with algorithm apriori of disaster residental fires Muhajir, Muhammad; Gusmayyeni, Gusmayyeni; Sari, Redita Anggita; Rahmatika, Tusriana
Bulletin of Social Informatics Theory and Application Vol. 1 No. 2 (2017)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v1i2.27

Abstract

Data mining is a technique of decision making by means of extracting information based on historical data of existing data in a large database. One of technique in data mining, is association rule algorithm where the method is searching for a set of items that frequently appear together. This study will use data association rule mining method for data processing Fire Disaster settlements in Indonesia because we want to know what information is often occur together in the event of fire disaster settlement. From the analysis associative relationship, event's pattern that occur from residential fires in Indonesia which the data is from the beginning of January 2015 to June 2015, support the highest value that the event of catastrophic fires in settlements in the afternoon resulted in broken homes with a value of 0.8148148 support and confident value of 1.0292398.
The Effectiveness of the Golek Garwo Matrimonial Tradition in Forming Harmonious Families Hasibuan, Rizky Ardiansyah; Muhajir, Muhammad
Jurnal Ilmiah Mahasiswa Raushan Fikr Vol 13 No 1 (2024): Jurnal Ilmiah Mahasiswa Raushan Fikr
Publisher : Lembaga Kajian dan Pemberdayaan Mahasiswa UIN Prof. KH. Saifuddin Zuhri Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24090/jimrf.v13i1.10332

Abstract

This article examines the effectiveness of the Golek Garwo matchmaking initiative organized by the Forum Ta'aruf Indonesia in facilitating the formation of harmonious families. The Golek Garwo event took place in Sewon Bantul Yogyakarta. This study adopts a descriptive-analytical approach within the field research category. The primary data is sourced from alumni who have maintained successful marriages for 5 to 7 years. The findings indicate that the Golek Garwo program, managed by the Forum Ta’aruf Indonesia, has effectively contributed to the formation of harmonious family dynamics through arranged marriages. Predominantly, religiosity emerged as the principal determinant of marital harmony. Besides religiosity, several other supporting factors, including partner adjustment, effective communication, mutual openness, mutual understanding, and collaborative problem-solving, also strengthen marital cohesion
Co-Authors Abdullah, Ahmad Hussain Aditya Rizq Herlandy Karjawan Akmalia Fitri Mafaza Alhaidar, Nihrul Bahi Ali, Asriyanti Alvita, Salma Annisa Ayunda Permata Sari Ayu, Devina Gilar Baehaqi Berky Rian Efanna Cahyani, Amalia Rizki Canas Rodrigues, Paulo Danardono Danardono Danardono, Danardono Dedi Rosadi Devi Andrian Fatahillah, Zahrul Guritno, Muhammad Wahyu Suryo Gusmayyeni, Gusmayyeni Hasibuan, Rizky Ardiansyah Henni Syawal Hermansah Hermansah Hermansah Iesje Lukistyowati Inggrid Septa Narendra Jaka Nugraha Julia Widiastuti Kamila, Juanita Jihan Makhtum, Ahmad Rohiqim Muhaimin Muhaimin Muhammad Fadli Kamil Mustain, Riefyal Arshyza Novendri Isra Asriny Nurirwan Saputra, Nurirwan Nurkamiden, Sukrin Pandri Ferdias Pandri Ferdias, Pandri Pratiwi, Lathifah Aliya Primananda, Dhea Laksmita Arsya Puspita, Ersa Riga Qurratul Uyun, Qurratul Rachmad Febrian Rafendra Agustianda Putra Rahmadi Yotenka Rahman, Iqbal Fathur Rahmatika, Tusriana Riefyal Arshyza Mustain Rohmatul Fajriyah Rosadi , Dedi Sari, Redita Anggita Syamsud Dhuha Uswatun Hasanah Widiastuti, Julia Wulandari, Kanth Yayi Diyah Palupi Yotenka, Rahmadi Zetta Nillawati Reyka Putri