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​REFORMASI HUKUM KELUARGA ISLAM TUNISIA PASCA ARAB SPRING: Antara Liberalisme dan Konservatisme Muhajir, Muhammad
Al-Ahwal: Jurnal Hukum Keluarga Islam Vol. 14 No. 1 (2021)
Publisher : Universitas Islam Negeri (UIN) Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ahwal.2021.14103

Abstract

After the Arab Spring, which was distinguished by the development of liberalism, Tunisia's personal status law became more progressive. This liberalism is exemplified by the enactment of a law permitting Muslim women to marry non-Muslim men. Tunisia's efforts to liberalize Islamic family law appear to be impeded, however, by the rejection of a proposal to change the law on inheritance equality between men and women. The purpose of this study is to examine the liberalism of Islamic family law in Tunisia. Using information media such as news, articles, and other sources, the research utilizes a descriptive-qualitative strategy with a theoretical and fact-based approach. This article argues that there are at least three reasons for Tunisia's modest liberalization of Islamic family law 1) Avoiding confrontations with secularists as much as possible. 2) Learning from the failure of the 2014 parliamentary general election, which revealed that Tunisians prefer non-religious parties. 3) The idealistic and pragmatic reasons of Ennahdha members.Pasca terjadinya Arab Spring, sistem perpolitikan di Tunisia menjadi lebih demokratis menyebabkan liberalisme pemikiran semakin menguat. Liberalisme tersebut ditunjukan dengan disahkanya undang-undang pernikahan wanita muslimah dengan laki-laki non-muslim. Namun upaya liberalisme hukum keluarga Islam Tunisia tampaknya masih terbatas dengan ditolaknya penyeruan amandemen undang-undang persamaan hukum waris antara laki-laki dan perempuan. Penelitian artikel ini adalah penelitian pustaka (library research). Metode yang penulis gunakan adalah metode deskriptif-kualitatifdengan pendekatan teoritis dan fakta melalui media informasi baik berita, artikel, maupun sumber lainya. Hasil penelitian menyimpulkan bahwa terjadinya liberalisme terbatas hukum keluarga Islam di Tunisia disebabkan tiga alasan. 1) Menghindari ketegangan dengan kaum sekuler 2) Belajar dari pengalaman kekalahan dalam pemilihan umum legislatif pada tahun 2014 yang menujukan masyarakat Tunisia cenderung memilih partai yang tidak berbasis agama, 3) Motif idealis dan pragmatis anggota partai Ennahdha].
Sentiment Analysis and Topic Modelling of Bjorka Using Support Vector Machine and Latent Dirichlet Allocation Muhajir, Muhammad; Rosadi , Dedi
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 5, ISSUE 1, April 2024
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol5.iss1.art7

Abstract

A wide range of data is now easily accessible via the microblogging service Twitter thanks to the rapid advancement of technology. The Bjorka controversy, one of the most talked-about topics right now, has generated numerous comments from the general public and thus has risen to the top. The Bjorka phenomenon is an obvious example of cybercrime, with a sharp uptick in incidents occurring in Indonesia during the COVID-19 pandemic. Sentiment analysis employing the Support Vector Machine technique allows for the statistical analysis of public opinion about Bjorka as it appears on the Twitter social network. Latent Dirichlet Allocation (LDA) will be used to analyze the sentiment analysis with SVM results, which have been separated into positive and negative sentiments. In this study, using LDA for sentiment analysis resulted in an accuracy of 89.5%. Dismantling government data, including personal data and government crimes, was the most positively predicted topic, with 75.2% of all predictions leaning in that direction. It is hoped that the government will be able to use the information gleaned from this study to better understand the public’s perspective and the trust deficits that need to be addressed
PENERAPAN TEKNOLOGI MESIN PEMOTONG SINGKONG UNTUK MENINGKATKAN PRODUKTIVITAS UMKM DI DUSUN MIRI, POLOKARTO, SUKOHARJO Guritno, Muhammad Wahyu Suryo; Muhajir, Muhammad; Saputra, Nurirwan
Jurnal Berdaya Mandiri Vol. 6 No. 2 (2024): JURNAL BERDAYA MANDIRI (JBM)
Publisher : Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jbm.v6i2.6425

Abstract

This research aims to design and develop an efficient and effective cassava-cutting machine for use by MSME players in Miri, Bulu, Polokarto, Sukoharjo Regency. Cassava is one of the important natural resources in the region, and cutting cassava manually often takes significant time and effort. The research method used is a field survey to identify the needs and problems faced by MSMEs in Miri sub-village. The results of this survey became the basis for designing a cassava-cutting machine that suits local conditions. This machine is designed by considering aspects of ergonomics, efficiency, and user safety. The results showed that the designed cassava cutting machine can cut cassava quickly and accurately, reducing the time and effort required in the cutting process. In addition, this cassava-cutting machine has the potential to increase the productivity of MSMEs. With the use of this machine, it is expected to reduce heavy manual labor and allow MSME players to focus on other more value-added activities. This research is a positive contribution to supporting the development of MSMEs in Miri sub-village and can be a model for the development of similar machines in other areas. This cassava-cutting machine is expected to provide significant benefits for MSME actors.  Keyword: Cassava, Cutting Machine, MSMEs
Pelatihan Pemanfaatan Limbah Plastik Menjadi Eco-Paving Block Di Desa Karangluas Kamila, Juanita Jihan; Alvita, Salma; Muhajir, Muhammad; Yotenka, Rahmadi
PENGAMATAN: Jurnal Pengabdian Masyarakat untuk Ilmu MIPA dan Terapannya Vol 3 No 2 (2025): PENGAMATAN: Jurnal Pengabdian Masyarakat untuk Ilmu MIPA dan Terapannya
Publisher : Jurusan Matematika FMIPA Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/pengamatanv3i2p60-66

Abstract

The challenge of plastic waste management persists in several nations, including Indonesia. Society's increasing use of plastic garbage exacerbates this issue. Karangluas village faces challenges in managing plastic garbage. Consequently, this community service initiative offers a solution for the conversion of plastic garbage into eco-paving blocks. The methodology employed in the training activity includes the preparatory phase to ascertain community issues and requirements through interviews, surveys, and observations. The implementation stage encompasses the production of eco-paving blocks, beginning with trash sorting and culminating in the fabrication of the paving blocks. This initiative aims to mitigate environmental and waterway pollution while enhancing the comprehension and economic welfare of the Karangluas village community.
Normative Disharmony Regarding the Duration of Marital Conflict in Divorce Law and Its Impact on the Protection of Women Zahrul Fatahillah; Muhajir, Muhammad; Hasanah, Uswatun
MAQASIDI: Jurnal Syariah dan Hukum Vol. 5, No. 2 (Desember 2025)
Publisher : MAQASIDI: Jurnal Syariah dan Hukum published by the Islamic Criminal Law Program of the Sharia and Islamic Economics Department at the Sekolah Tinggi Agama Islam Negeri Teungku Dirundeng Meulaboh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47498/maqasidi.v5i2.5878

Abstract

This study aims to analyze the normative disharmony regarding the time limit of disputes and quarrels as grounds for divorce within the Indonesian legal system, specifically between Government Regulation Number 9 of 1975, the Compilation of Islamic Law (KHI), and Supreme Court Circular Letter (SEMA) Number 1 of 2022. The inconsistency among these three regulations gives rise to practical issues in judicial proceedings, particularly in ensuring effective legal protection for women. Both the Government Regulation and the KHI do not stipulate a minimum duration of conflict as a requirement for divorce, whereas the SEMA explicitly requires that the dispute must have lasted for at least six months. This provision potentially obstructs women’s access to justice, especially in cases involving unhealthy or violent domestic circumstances. Employing a normative legal research method through statutory and conceptual approaches, this study finds that the time limit regulation in the SEMA is not aligned with the provisions set forth in the Government Regulation and the KHI. The norms within the SEMA are deemed insufficiently responsive to the legal needs of women, thereby necessitating regulatory harmonization to establish a just, adaptive legal system that guarantees equal protection in divorce cases. SEMA Number 1 of 2022 sets a six-month dispute requirement for divorce. This norm restricts judicial discretion and impedes legal protection for women, particularly victims of domestic violence. From a juridical perspective, the SEMA also exceeds its authority by regulating substantive matters without formal legislative processes. Consequently, substantive justice and human rights are at risk of being neglected. An urgent evaluation of this provision is necessary to ensure fair and responsive protection.
ANALYSIS CLASSIFICATION SENTIMENT OF THE LARGE PRIEST OF FPI’S RETURN USING SVM CLASSIFICATION WITH OVERSAMPLING METHOD Putri, Zetta Nillawati Reyka; Muhajir, Muhammad
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 Narendra, Inggrid Septa; Muhajir, Muhammad
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.