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Klusterisasi Penyandang Masalah Kesejahteraan Sosial (PMKS) Di Kabupaten Bojonegoro Menggunakan Algoritma K-Medoids Elisa Syafaqoh; Nurissaidah Ulinnuha; Lutfi Hakim
KUBIK Vol 7, No 2 (2022): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v7i2.21653

Abstract

Persons with Social Welfare Problems (PMKS) are individuals, community groups, or families who cannot adequately and properly meet their economic, physical, mental, and social needs, both spiritually and physically, because of an obstacle, difficulty, or disturbance. This study aimed to classify sub-districts in Bojonegoro Regency based on the level of social welfare problems using the K-Medoids Clustering (PAM) Analysis method. There are 2 clusters formed with an Average Silhouette of 0.73. Cluster 1 is a sub-district group with common social welfare problems, and Cluster 2 is a sub-district group with high social welfare problems. Each silhouette value of the cluster is 0.74 and 0.70 with the specifications of a well-formed and strong structure.
Perbandingan Ekstraksi Fitur Untuk Klasifikasi COVID-19, MERS, dan SARS Menggunakan Algoritma Extreme Learning Machine Zahroh, Khofifah Auliyatuz; Dian Candra Rini Novitasari; Lutfi Hakim
Jurnal Fourier Vol. 13 No. 1 (2024)
Publisher : Program Studi Matematika Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/fourier.2024.131.30-41

Abstract

Pada tahun 2019, terjadi kemunculan suatu wabah penyakit COVID-19. Wabah penyakit tersebut telah mengguncang dunia sehingga menyebabkan pandemi secara global. Selain COVID-19, terdapat dua wabah penyakit lain juga diakibatkan oleh virus corona yaitu MERS (Middle East Respiratory Syndrome) dan SARS (Severe Acute Respiratory Syndrome) yang sudah menjadi ancaman serius pada beberapa dekade terakhir. Ketiga wabah penyakit tersebut menyebabkan jutaan kasus serta ribuan orang yang meninggal di seluruh dunia. Berdasarkan permasalahan tersebut, perlu adanya penelitian yang dilakukan untuk klasifikasi penyakit COVID-19, MERS, dan SARS berdasarkan hasil pemeriksaan X-ray menggunakan perbandingan ekstraksi fitur GLCM (Gray Level Co-occurrence Matrix) dan GLDM (Gray Level Difference Matrix) serta klasifikasi ELM (Extreme Learning Machine). Pada penelitian ini menggunakan beberapa parameter uji coba diantaranya yaitu arah sudut, jumlah pada k-fold, serta jumlah hidden node. Hasil terbaik pada penelitian ini diperoleh menggunakan metode ekstraksi fitur GLDM dengan uji coba pada sudut , k-fold 10, serta hidden node 25 yang menghasilkan akurasi, sensitivitas, dan spesifisitas masing-masing sebesar 100% dengan waktu yang dibutuhkan yaitu 0.00042 detik. Sehingga, dapat disimpulkan bahwa hasil ekstraksi fitur GLDM lebih unggul daripada ekstraksi fitur GLCM.
Strategi Peningkatan Kualitas Guru PAI dalam Manajemen Pembelajaran Humaira Chairunnisa’; Lutfi Hakim; Suahrul Ramadhan; Gusmaneli Gusmaneli
Dewantara : Jurnal Pendidikan Sosial Humaniora Vol. 3 No. 2 (2024): Juni: Dewantara: Jurnal Pendidikan Sosial Humaniora
Publisher : Universitas 45 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30640/dewantara.v3i2.2436

Abstract

The article is entitled "Strategy for Improving the Quality of PAI Teachers in Learning Management." This article was written because of the poor quality of PAI teacher management in implementing the teaching and learning process. This article focuses on how to improve the quality of PAI teachers in managing learning. The learning process requires learning activities based on concepts and principles to achieve learning goals effectively, efficiently and productively, starting with determining and planning strategies. Teachers play an important role in determining the quantity and quality of learning that takes place. Teachers need to think carefully and make learning plans to improve students' ability to listen to lessons and master learning objectives to improve the quality of teaching. The pattern above shows that being a teacher and simply providing material to students is not an easy thing and requires a mature strategy as well. Therefore, in this article we will explain learning strategies and learning management that teachers must understand in an effort to improve training and the quality of PBM.
Modeling the Farmer Exchange Rate in Indonesia Using the Vector Error Correction Model Method Yuniar Farida; Afanin Hamidah; Silvia Kartika Sari; Lutfi Hakim
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 23 No. 2 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v23i2.3407

Abstract

The agricultural sector plays a crucial role in the Indonesian economy. However, the farm sector still has serious problems, including agricultural product prices, which often fall when the harvest supply is abundant. So often, the income obtained is not proportional to the price spent by farmers, which has an impact on decreasing the welfare of farmers. An indicator to observe changes in the interest of Indonesian farmers is the Farmer Exchange Rate Index (NTP). This study aims to form a model and project the welfare level of farmers in Indonesia, focusing on NTP indicators, which are caused by the influence of variables such as inflation, Gross Domestic Product (GDP), interest rates, and the rupiah exchange rate. The method used is the Vector Error Correction Model (VECM), used when there are indications that the research variables do not show stability at the initial level and there is a cointegration relationship. The results of this study show that in the long run, significant factors affecting NTP are inflation, interest rates, and the rupiah exchange rate. Meanwhile, in the short term, the variables that have an impact are GDP and the rupiah exchange rate. The resulting VECM model shows a MAPE error rate of 1.79%, indicating excellent performance, as the MAPE error rate is below 10%. The implication of this research is provides information related to NTP projection that can be used to formulate strategies to strengthen Indonesia's agricultural sector.
Unequal Socioeconomic Impacts of the Java Integrated Industrial and Port Estate Special Economic Zone on Coastal Communities in Gresik Lutfi Hakim; Auditya Purwandini Sutarto; Havy Wardana; Tomi Indarto; Anik Nur Kholifah
SOSIOHUMANIORA: Jurnal Ilmiah Ilmu Sosial dan Humaniora Vol 12 No 1 (2026): February 2026
Publisher : LP2M Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/sosio.v12i1.21037

Abstract

This study investigates how local communities perceive and experience the socioeconomic impacts of the Java Integrated Industrial and Port Estate (JIIPE), a flagship Special Economic Zone (SEZ) in Gresik, Indonesia. Although SEZs are intended to stimulate regional economic development, increase employment, and attract investment, their benefits often fail to reach all affected populations. Using a parallel approach that integrates structured household surveys and in-depth qualitative interviews across four directly impacted villages—Kramat, Tajungwidoro, Peganden, and Yosowilangun—this study captures community-level variations in perceptions and lived experiences. Quantitative data highlight limited long-term employment opportunities, a decline in traditional livelihoods such as farming and aquaculture, and uneven social infrastructure improvements. Qualitative findings further reveal concerns regarding weak community engagement, symbolic corporate social responsibility (CSR) programs and environmental degradation. While some respondents acknowledged improved access to transportation and economic diversification, others expressed disillusionment with unfulfilled expectations of inclusive growth. This study emphasizes the need for SEZ governance models to include transparent, participatory mechanisms and long-term capacity-building initiatives. These findings contribute to the literature on industrial development and community welfare by offering actionable policy insights to guide more inclusive and sustainable industrial transition.
Etika Tasawuf Guru: Studi Pemikiran Imam al-Ghazali dan Syekh Muhammad Amin al-Kurdi Akh Syaiful Rijal; Lutfi Hakim
TADRIS: Jurnal Pendidikan Islam Vol 16 No 1 (2021)
Publisher : State Islamic Institute of Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19105/tjpi.v16i1.4351

Abstract

This study aims: (1) to identify how the ethics of teacher Sufism according to Imam al-Ghazali and Sheikh Muhammad Amin al-Kurdi; and (2) To find out how the teacher's Sufism ethical thinking compared between the two. This research method includes the type of library research. The main data sources are the book Ihya 'Ulumiddin, Ayyuhal Walad by Imam al-Ghazali, and the book Tanwirul Qulub by Sheikh Muhammad Amin al-Kurdi. The analysis uses content analysis and comparison methods. As a result, the ethics of teachers from the Sufism perspective according to Imam al-Ghazali and Sheikh Muhammad Amin al-Kurdi are in the form of ethical-religious so that the ethics of teachers are more directed at the Sufism behavior of a mursyid to his students. Second, the similarity of the teacher’ ethic based on Sufism perspective according to Imam al-Ghazali and Sheikh Muhammad Amin al-Kurdi is that the teacher must be care to their students and know their students’ intellectual competence. The difference, Imam al-Ghazali recommends that the teachers guide their students to be real human through an exemplary approach. Meanwhile, Sheikh Muhammad Amin al-Kurdi also emphasized compassion in interacting with students, but in internalizing values it ​​uses a verbal approach, namely giving advice.