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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) EKSAKTA: Journal of Sciences and Data Analysis Katalogis 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 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
Muhammad Muhajir, Muhammad
Department Of Statistics, Universitas Islam Indonesia
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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
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 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.
Co-Authors Abdullah, Ahmad Hussain Aditya Rizq Herlandy Karjawan Alhaidar, Nihrul Bahi Ali, Asriyanti 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 Henni Syawal Hermansah Hermansah Hermansah Iesje Lukistyowati Inggrid Septa Narendra Jaka Nugraha Julia Widiastuti Makhtum, Ahmad Rohiqim Muhaimin Muhaimin Muhammad Fadli Kamil Mustain, Riefyal Arshyza Novendri Isra Asriny Nurirwan Saputra, Nurirwan 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 Zetta Nillawati Reyka Putri