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Penerapan Data Mining Menggunakan Algoritma pada Sistem Informasi Deteksi dini Parkinson Diseas Berbasis Rapidminer : Penelitian Taufiqurohman, Taufiqurohman; Febriyan, Adani; Aulia, Firman Nasty; Bogo, Hezron Perez Gelu; Basra, Muhamad Sadam; Rohim, Syahrul Abdul
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 3 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 3 (Januari 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i3.4977

Abstract

This study utilized a 20-sample dataset with 23 acoustic attributes reflecting the patient's vocal characteristics, including parameters such as MDVP:Fo(Hz), MDVP:Fhi(Hz), MDVP:Flo(Hz), jitter, shimmer, and harmonic values. The target attribute used was status, which indicates whether the patient is indicated as having Parkinson's (1) or not (0). The study aimed to build a data mining-based prediction model using RapidMiner to support an information system for early detection of Parkinson's Disease. The analysis stages followed the CRISP-DM framework, which includes data understanding, preprocessing, modeling, and evaluation. The algorithms tested included Support Vector Machine, Random Forest, and Naïve Bayes using a cross-validation scheme. The experimental results showed that Random Forest provided the most consistent performance on this small dataset with more stable accuracy and prediction confidence values ​​compared to other algorithms. These findings confirm that acoustic features of voice can serve as effective early indicators for detecting Parkinson's, while strengthening RapidMiner's role as an efficient analytical platform in data-driven medical research.
Public Policy-Based Disaster Mitigation Strategy In Sembalun Taufiqurohman, Taufiqurohman; Suryanto, Totok; Adnyana, I Made Susila; Shoum A, Sholahuddin
Indonesian Journal of Social Science Research Vol. 6 No. 1 (2025): Indonesian Journal of Social Science Research (IJSSR)
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijssr.06.01.22

Abstract

Sembalun is a disaster-prone region facing threats such as earthquakes, landslides, and extreme weather. This study aims to analyze non-structural disaster mitigation strategies implemented through public policy in Sembalun. The research employs a qualitative approach through literature review and case studies. The findings reveal that non-structural mitigation policies still face challenges in regulatory implementation, community participation, and institutional capacity. However, there is significant potential in integrating local wisdom, such as the nengah bulan system, and using culturally-based disaster education. Community agroforestry initiatives in buffer zones highlight the crucial role of grassroots efforts in disaster risk reduction. This study recommends the need for adaptive policies that bridge modern technology with indigenous knowledge and promote a paradigm shift toward community-based planning
The Evolution of the Islamic Calendar and The Role of Department of Islamic Development Malaysia: Insight and Implementation in Malaysia Azhari, Susiknan; Shobahussurur, Shobahussurur; Nawawi, Mohd. Saiful Anwar Mohd; Taufiqurohman, Taufiqurohman
Al-Mazaahib: Jurnal Perbandingan Hukum Vol. 14 No. 1 (2026): Al-Mazaahib
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/al-mazaahib.v14i1.4776

Abstract

This research explains the idea of an Islamic calendar system that grew in Malaysia as one of the Muslim countries that contributed to the falac science development in Southeast Asia. This article is a literature research with a historical approach to describe how the process of developing and adapting the Islamic calendar in Malaysia. The results shows that the system has changed five times, and the first period (before 1969-1986) used the Istilahi calendar. Meanwhile, the second (1986-1991) and third (19922-1994) periods used Ijtimak Hakiki and Ijtimak Wujudul Hilal. From 1995 to 2021, the fourth period used Imkanur Rukyat or Takwim Rukyat. In practice, the Imkanur Rukyat is similar to Imkanur Rukyat MABIMS (2,3,8). Since 1 Muharam 1443 H/2021, the fifth period employs a new criterion to determine the beginning of the lunar month, namely the MABIMS Hilal Neo-Visibility (3,6.4). Main efforts to unify the Islamic calendar in Malaysia are made by publishing the Hijri Almanac based on the MABIMS hilal visibility theory, which is used as an administrative and worship reference. The hilal observations are still carried out, and can change the dates in the almanac, as happened in the determination of beginning of Shawwal 1443 H/2022. Penelitian ini menguraikan gagasan sistem kalender Islam yang berkembang di Malaysia sebagai salah satu negara Muslim yang berkontribusi terhadap perkembangan ilmu falak di Asia Tenggara. Artikel ini merupakan penelitian pustaka dengan pendekatan historis untuk menggambarkan proses pengembangan dan adaptasi kalender Islam di Malaysia. Hasil penelitian menunjukkan bahwa sistem tersebut telah mengalami lima kali perubahan, dan periode pertama (sebelum 1969–1986) menggunakan kalender Istilahi. Sementara itu, periode kedua (1986–1991) dan ketiga (1992–1994) menggunakan Ijtimak Hakiki dan Ijtimak Wujudul Hilal. Dari tahun 1995 hingga 2021, periode keempat menggunakan Imkanur Rukyat atau Takwim Rukyat. Dalam praktiknya, Imkanur Rukyat mirip dengan Imkanur Rukyat MABIMS (2,3,8). Sejak 1 Muharam 1443 H/2021, periode kelima menerapkan kriteria baru untuk menentukan awal bulan lunar, yaitu MABIMS Hilal Neo-Visibility (3,6.4). Upaya utama untuk menyatukan kalender Islam di Malaysia dilakukan dengan menerbitkan Almanak Hijriyah berdasarkan teori visibilitas hilal MABIMS, yang digunakan sebagai acuan administratif dan ibadah. Pengamatan hilal masih dilakukan, hasilnya dapat mengubah tanggal dalam almanak, sebagaimana kasus yang terjadi dalam penentuan awal Syawal 1443 H/2022 M.