bluuebunny/crossref_metadata_2025 huggingface dataset:
Analisis Perbandingan Thomas Aquinas dan Al-Farabi dalam Konsep Kebahagiaan untuk Membentuk Negara Ideal
Authors: Muhamad Fajar Pramono , Mohammad Latief , Allam Setiawan Nugroho , Qorib Khoffifa Assakhyyu
Published: January 2025

Penulisan artikel ini bermula bedasarkan kesalahpahaman manusia modern dalam mengartikan konsep kebahagiaan yang sesungguhnya. Masyarakat modern menganggap bahwa kebahagiaan bersifat materil. Penulisan artikel ini akan membahas perbandingan konsep kebahagiaan Thomas Aquinas dan konsep kebahagiaan Al-Farabi yang dapat menjadi asumsi dasar dalam membentuk negara Ideal. Untuk itu penulisan artikel ini merekontruksi pemahaman kebahagiaan yang sesungguhnya, Yaitu sebuah kebahagiaan yang menjadi tujuan akhir dalam kehidupan. Sebuah kebahagiaan yang berorientasi dengan Tuhan. Sebuah kebahagiaan yang tidak bersifat sementara melainkan sebuah kebahagiaan yang bersifat abadi. Selain itu Konsep kebahagiaan antara kedua tokoh tersebut mampu mengantarkan masyarakat dalam membentuk negara ideal. Negara menurut Thomas Aquinas dan Al-Farabi menjadi wadah manusia dalam mengorientaskan jalan menuju kebahagiaan. Untuk itu, makalah ini akan membahas konsep kebahagiaan menurut Thomas Aquinas, dan Al-Farabi yang mampu menjadi relevansi untuk membentuk sebuah negara ideal. Negara ideal yang didukung dengan tujuan Bersama yanitu menuju kebahagiaan yang hakiki. Dimana kebahagiaan yang hakiki ini didukung dengan moralitas yang sesuai dengan ajaran Tuhan. Untuk menyelesaikan artikel ini penulis mengugunakan metode deskriptif analisis guna mendeskripsikan dan menganalisa konsep kebahagiaan kedua tokoh dan mengimplementasikan untuk membentuk negara ideal.
Relevansi Pembiasaan Taḥfīẓul Qur'ān dalam Membentuk Karakter Religius pada Kader Muhammadiyah di Panti Asuhan Muhammadiyah Ajibarang Banyumas
Authors: Alaudin Salman Faiz , Firdaus Firdaus
Published: January 2025

Al-Quran merupakan firman Allah SWT yang keasliannya selalu terjaga. Salah satu kewajiban utama umat Islam terhadap al-Quran adalah membacanya dan menghafalnya dengan baik. Menghafal Al-Qur'an dapat membentuk karakter religius seseorang. Oleh karena itu, religiusitas merupakan modal utama untuk memecahkan masalah-masalah yang timbul di masyarakat. Tujuan penelitian ini untuk mengetahui model pembinaan taḥfīẓul Qur’an, menganalisis pembentukan karakter religius melaluitTaḥfīẓul Qur'ān dan menemukan faktor pendukung dan penghambat pembentukan karakter religius kader melalui program taḥfīẓul Qur’an di Panti Asuhan Muhammadiyah Ajibarang. Penelitian ini menggunakan penelitian kualitatif. Subjek penelitian yaitu pengasuh, 3 musyrif dan 4 kader Panti Asuhan Muhammadiyah Ajibarang. Teknik pengumpulan data menggunakan observasi, wawancara dan dokumentasi. Teknik analisis data menggunakan reduksi data, penyajian data dan penarikan kesimpulan. Hasil penelitian ini menunjukan bahwa: pertama, model pembinaan taḥfīẓul Qur’an di Panti Asuhan Muhammadiyah Ajibarang menggunakan model pembinaan pembiasaan, Pemberian reward dan pendekatan individual. Kedua faktor pendorong, jajaran pengurus mensuport besar dan memberikan tanggung jawab sepenuhnya kepada pengasuh dan jajaran asātidz. Sedangkan faktor penghambat, kekurangan tenaga musyrif, permasalahan waktu antara musyrif dan kader dan faktor kelelahan kader setelah mengikuti kegiatan belajar mengajar di sekolah.
Tradisi Rereb Bagi Masyarakat Siremeng: Perpaduan Nilai Budaya Jawa dan Ajaran Agama Islam
Authors: Hakim Arfin Aflahul , Khatimah Khusnul , Yurianto Ramdhan
Published: January 2025

Rereb adalah istilah lain dari tradisi menguburkan ari-ari atau placenta. Namun tradisi Rereb di Desa Siremeeng benanr-benar berbeda dengan tempat lain karena ada nilai budaya dan agama didalamnya. Latar belakang dari penelitian ini dari salah satu aktifitas budaya menguburkan ari-ari (Rereb) dimana didalamnya ada perpaduan budaya Jawa dan ajaran agama Islam dan dilakukan secara harmonis bagi masyarakat Desa Siremeng, Kec. Pulosari, Kab. Pemalang. Penelitian ini berjenis deskriptif kualitatif menggunakan pendekatan etnografi, dimana peneliti mengumpulan data dengan observasi, wawancara mendalam dan dokumentasi. Peneliti menemukan hasil yang menunjukan bahwa secara budaya jawa terdapat nilai yang terkandung dalam tradisi Rereb yaitu orang tua harus memperhatikan aspek a) sandang, pangan, papan seperti kebutuhan dasar manusia, namun ada satu hal yang peneliti temukan yaitu terdapat kebutuhan pendidikan dalam tradisi Rereb. Sedangkan dalam budaya Islam didalamnya terdapat aktifitas a) Pensucian ari-ari, yaitu memandikan dan mewudlukanya, b) Pemberian nasihat (wekas) berupa tidak durhaka kepada Tuhan/Allah (musyrik), kedua orang tua, guru-guru dan kepada sesama muslim. Tradisi Rereb sudah eksis dari sedia kala dan diwariskan lintas generasi, didalamnya mengandung nilai budaya jawa sekaligus ajaran agama Islam.
Sistem Pendidikan Daulah Umayyah Andalusia dan Implikasinya terhadap Pendidikan Islam Masa Kini
Authors: Hasanah Uswatun , Zulmuqim Zulmuqim , Kosim Muhammad , M. Hasbi Ash Shiddiqi
Published: January 2025

Perkembangan pendidikan islam selalu berkaitan dengan periodesasi sejarah Islam itu sendiri, salah satunya pendidikan pada masa Daulah Umayyah Andalusia. Tujuan penelitian ini untuk mengetahui 1) sejarah Daulah Umayyah Andalusia, 2) sistem pendidikan Daulah Umayyah Andalusia dan 3) implikasinya terhadap pendidikan Islam masa kini. Penelitian ini menggunakan pendekatan kualitatif dengan metode library research melalui pengumpulan data primer dan sekunder dari berbagai informasi yang berkaitan dengan sejarah Daulah Umayyah Andalusia, sistem pendidikannya. Penelitian ini menunjukkan, masuknya Islam ke Andalusia pada tahun 711 M di bawah pimpinan panglima Thariq bin Ziyad dengan gambaran Islam yang dinamis dan integral. Pendidikan Islam telah berhasil melahirkan pemikiran-pemikiran cemerlang hampir di semua disiplin ilmu. Selain itu, kemajuan budaya Andalusia terkait langsung dengan pengembangan pemerintahan yang lebih baik, peluang pendidikan, dan segala upaya dalam mengembangkan. Tanpa mengorbankan identitas Islam mereka, umat Islam masa kini harus beradaptasi dengan keadaan yang berubah dengan cepat, dengan memanfaatkan apa yang sudah diketahui untuk dikembangkan lebih baik tanpa meninggalkan identitas keislaman.
Konflik di Afghanistan di Bawah Kepemimpinan Taliban Perspektif Maqāṣid al-Syarī’ah al-Syathibi dan Jasser Auda
Authors: Abdillah Muhammad Torieq , Vijaini Akhmad , Habibah Nor , Parahdina Soraya
Published: January 2025

Penelitian ini bertujuan untuk memaparkan konflik yang terjadi di Afghanistan di bawah kepemimpinan Taliban dengan menjelaskan pelanggaran apa saja yang terjadi, lalu disertai dengan jawaban maqāṣid al-syarī’ah al-Syathibi dan Jasser Auda atas konflik tersebut sebagai bentuk mencari kemaslahatan. Penelitian ini merupakan penelitian kualitatif deskriptif dengan pendekatan hukum Islam dengan konsep maqāṣid al-syari’ah. Hasil penelitian ini menunjukan bahwa maqāṣid al-syarī’ah menginginkan manusia mencapai kemaslahatan di dunia dan di akhirat dengan menjaga lima aspek, yaitu agama, jiwa, keturunan, harta, dan akal, ditambah menuju maqāṣid al-syarī’ah dalam bentuk pengembangan dan hak-hak asasi. Apa yang terjadi di Afghanistan merupakan sebuah kehancuran yang memang tidak sejalan dengan maqāṣid al-syarī’ah karena konflik tersebut hanya mendatangkan kemudaratan. Sehingga masyarakat Afghanistan tidak mendapatkan kemaslahatan.
Corak Pemikiran dan Peradaban Islam Nusantara di Kerajaan Aceh Darussalam
Authors: Pradana Ryan Yusuf , Imawan Dzulkifli Hadi
Published: January 2025

Kajian ini menjelaskan tentang perkembangan pemikiran dan peradaban Islam Nusantara yang tentunya menjadi bahan yang sangat menarik untuk didiskusikan pada saat ini. Bagaimana perkembangan pemikiran dan peradaban pada saat kerajaan Aceh Darussalam berkuasa. Hal ini tidak juga tidak terlepas dari peran ulama dalam keikutsertaan mereka dalam membantu terkait dengan pemikiran Islam pada saat itu. Kajian ini mencoba untuk menjawab bagaimana pemikiran dan peradaban Islam nusantara yang berkembang pada kerajaaan Aceh Darussalam. Metodologi yang digunakan adalah studi Pustaka dengan menggunakan sumber data sekunder yang diperoleh dari buku dan jurnal yang relevan. Hasil penelitian ini menemukan bahwa pemikiran dan peradaban pada kerajaan Aceh Darussalam dipengaruhi oleh beberapa ulama yang ikut serta dalam menghiasi corak pemikiran Islam ulama ulama tersebut antara lain Hamzah al-Fansuri, Syamsuddin al-Sumatrani, Nuruddin Ar-Raniry dan Abdurrauf as-sinkili. Dimana ulama ulama tersebut mempengaruhi banyak pemikiran islam pada saat itu salah satunya di bidang tasawwuf.
Urgensi Sīrah Nabawiyyah bagi Pelajar Tingkat Aliyah dalam Memahami Konsep Moderasi Beragama
Authors: Nasihin Khoirun , Ningsih Febri Yunita
Published: January 2025

Nabi Muhammad Saw adalah sosok teladan ideal dalam mempresentasikan kehidupan muslim yang moderat. Sikap moderat beliau dapat diketahui melalui Sīrah nabawiyyah sebagai salah satu sumber pengambilan hukum dalam agama Islam. Oleh sebab itu, penelitian ini bertujuan untuk memaparkan beberapa fakta dan peristiwa dari sīrah nabawiyyah yang bisa menunjang pemahaman konsep moderasi beragama sesuai dengan indikator moderasi beragama dari kementerian agama, yaitu: komitmen kebangsaan, toleransi, anti radikalisme dan kekerasan, serta akomodatif terhadap budaya lokal. Data penelitian didapatkan dari sumber utama berupa buku dan jurnal terkait Sīrah nabawiyyah dan moderasi beragama, serta sumber lain dari buku keagamaan, majalah, website yang berkaitan. Teknik analisis data yang digunakan adalah model Miles dan Hubberman meliputi reduksi data, display data dan kesimpulan. Dari penelitian ini diketahui bahwa terdapat fakta sejarah dari Sīrah nabawiyyah yang menunjukkan sikap moderat nabi Muhammad Saw sejalan dengan indikator nilai-nilai moderasi dari kementerian Agama. Hal ini sangat penting bagi pelajar tingkat Aliyah dalam mempraktikkan nilai-nilai moderasi beragama, baik di lingkungan sekolah ataupun di masyarakat.
Analisis Reproduksi Makna Isra’ Mi’raj dalam Tafsir Ilmi Kemenag RI Perspektif Hermeneutika Schleiermacher
Authors: Abdulfatah Fikri , Hasyim Muh Fathoni , Razi Fahrur
Published: January 2025

Penelitian ini menyajikan analisis-deskriptif reproduksi makna ayat Isra’ Mi’raj dalam Tafsir Ilmi Kemenag RI. Melalui pemaparan yang sistematis, penelitian ini menganalisis bagaimana psikologi mufasir dapat mempengaruhi proses reproduksi makna suatu ayat atau lafaz. Dalam perubahan dinamika ilmu pengetahuan dan teknologi, penelitian ini tidak hanya relevan, tetapi juga esensial dalam pelestarian nilai-nilai akidah tentang peristiwa Isra’ Mi’raj. Keunggulan penelitian ini terletak pada dorongan mendalam untuk memahami ragam reproduksi makna ayat atau lafaz Isra’ Mi’raj melalui perspektif hermeneutika Schleiermacher. Hasil penelitian ini menghadirkan pandangan yang lebih tajam dan pemahaman atas ragam konteks yang mempengaruhi reproduksi makna pada ayat Isra’ Mi’raj. Harapannya, penelitian ini dapat menyajikan suatu pembahasan yang sistematis dan terstruktur sehingga keragaman makna Isra’ Mi’raj yang disajikan dalam Tafsir Ilmi Kemenag RI dapat dipahami dengan lebih baik.
Studi Pembangunan Ekonomi: Telaah atas Teori-Teori
Authors: Martono Martono , Dahlan Ahmad , Nurlaeli Ida
Published: January 2025

Setiap negara umumnya mencoba dan memiliki pendekatan alternatif untuk membangun negara yang sejahtera. Salah satu upaya yang dilakukan adalah melalui percepatan pembangunan ekonomi. Artikel ini bertujuan untuk membahas teori-teori dalam studi pembangunan ekonomi yang dijelaskan oleh beberapa tokoh pemikir ekonomi dan dianggap berpengaruh. Secara normatif, teori-teori tersebut masih dibutuhkan sebagai hazanah ilmiah di bidang ilmu ekonomi pembangunan. Metode dalam artikel ini berbasis pada data kepustakaan yang bersumber pada buku-buku, jurnal, atau surat kabar media yang dianggap layak dijadikan sebagai sumber ilmiah. Penelitian ini dilakukan dengan membaca, menelaah, dan menganalisis berbagai literatur yang ada. Hasil pembahasan menunjukkan bahwa terdapat banyak faktor persamaan yang dikemukakan oleh para peneliti dalam mempengaruhi pembangunan ekonomi suatu wilayah/negara. Investasi, kondisi politik, dan sumber daya manusia merupakan faktor yang paling banyak dalam mempengaruhi pembangunan ekonomi. Sedangkan infrastruktur adalah faktor pembangunan ekonomi yang paling sedikit yang dikemukakan oleh para peneliti. Infrastruktur mempunyai pengaruh terhadap pembangunan ekonomi bagi negara-negara tropis seperti Indonesia.
DEVELOPMENT OF SOFT SKILL-BASED INTERACTIVE MEDIA ON THEMATIC LEARNING AT ELEMENTARY SCHOOLS
Authors: Umayah Urip , Winandika Gigih
Published: January 2025

The purpose of this research is to develop soft skill-based interactive media, to know the quality of soft skill-based interactive media in thematic learning, and to know the level of effectiveness of using soft skills-based interactive media. This study uses the type of research R & D (Research and Development). The stages of developing soft skill-based interactive media are modified into four stages, namely analysis, design, development, and implementation. The interactive media testing developed has met the criteria of being valid, quality and effective. Validity is declared after instrument validation and product validation have been carried out by media experts. Soft skill-based interactive learning media is said to be of very high quality because teacher and student assessments of learning media are in the very quality category. Soft skill-based learning media is said to be effective because it has met the criteria for assessing teacher activity on learning media, which is in the very effective category. It was concluded that the soft skill-based interactive learning media developed had met the categories of validity, quality and effectiveness so that it was feasible to be used and developed not only in public and private elementary schools.
CRITICAL ANALYSIS OF THE IMPLEMENTATION OF THE MARKET DAY PROGRAM IN FOSTERING THE ENTREPRENEURIAL SPIRIT AMONG STUDENTS IN ELEMENTARY SCHOOL
Authors: Iriyani Muji , Andriani Ana
Published: January 2025

Education is one way to build an entrepreneurial spirit. One of the entrepreneurship programs is the market day program. The purpose of this study is to analyze the implementation of the market day program in fostering the entrepreneurial spirit of students at SD Negeri 1 Banjarkulon Banjarnegara. This research method uses a descriptive qualitative approach with a case study method. Data collection techniques using observation, interviews and documentation. The sources of informants used are students, teachers managing the market day program and parents of students The results of this study indicate that with the market day program most students have an entrepreneurial spirit such as self-confidence, creativity in making products, enthusiasm in selling, having a leadership spirit and taking risks. The conclusion of this study is that the implementation of the market day program at  SD Negeri 1 Banjarkulon Banjarnegara can foster the entrepreneurial spirit of students well.
Urgensi Perlindungan Data Pribadi pada Transaksi e-Commerce Terhadap Pembangunan Ekonomi di Indonesia
Authors: Fathaniyah Lidia , Makbul Mohammad , Makhrus M
Published: January 2025

Perkembangan teknologi digital sangat pesat setelah revolusi industri 4.0 sehingga menimbulkan ketergantungan terhadap borderless. Adanya teknologi memberikan kemudahan dan mempercepat dalam transaksi ekonomi digital, hanya dilakukan dengan genggaman jari bisa melakukan transaksi apapun dan dimanapun. Dalam dunia bisnis global, e-commerce sebagai tanda kemajuan teknologi bahwa transaksi digital suatu yang tidak bisa dihindari dan tidak dilakukan secara konvensional lagi. Kehadiran e-commerce sebagai bagian dari gaya hidup baik masyarakat di kota-kota besar maupun di pedesaan telah menajdikan e-commerce sebagai alat untuk bertransaksi baik sebagai penjual maupun pembeli. Penelitian dalam penelitian ini menggunakan jenis penelitian yuridis normatif dan menggunakan pendekatan statue approach. Sumber data yang digunakan yakni sumber data sekunder yang diperoleh dari bahan hukum primer yang dalam penelitian ini menggunakan bahan hukum dalam bentuk ketentuan hukum berupa perundang-undangan kemudian menggunakan bahan hukum sekunder berupa buku, jurnal, dan literatur sejenisnya. Teknik pengumpulan data yang digunakan yakni studi kepustakaan. Adanya Undang-Undang khusus mengenai perlindungan data pribadi merupakan angin segar bagi pengguna e-commerce karena merasa aman dalam bertransaski pada e-commerce dan memiliki kepastian hukum di dalam Undang-Undang Perlindungan Data Pribadi Pasal 57 terdapat ketentuan sanksi bagi pelaku kejahatan digital. Adanya Undang-Undang perlindungan data pribadi juga berdampak pada pembangunan nasional yang dalam hal ini yaitu pembangunan ekonomi karena industri e-commerce merupakan salah satu platform yang dapat membuka peluang usaha bagi siapapun.
Pengaruh Dilālah Al-Alfaẓ dalam Perkembangan Fatwa Zakat Kontemporer
Authors: Salim Mahmud Salim , Hafidhuddin Didin , Susanto Hari
Published: January 2025

Dilalah al-Alfaz merupakan metode yang digunakan untuk mengaktualisasikan hukum Islam dari teks Alquran dan as-Sunnah. Kurangnya pengetahuan terhadap ilmu ini di pihak para ahli hukum dapat menyebabkan kesalahan terhadap pemahaman suatu ayat atau hadits, sehingga terjadi kesalahan dalam penggalian hukum dari teks tersebut. Oleh karena itu, mengkaji dilalatul al-Alfaz sangat penting, khususnya dalam persoalan zakat yang terus berkembang mengikuti perkembangan zaman. Penelitian ini bertujuan untuk mengetahui metode dilalah al-Alfaz yang digunakan para ulama fikih terdahulu untuk memahami hukum-hukum Alqur'an dan Sunnah, sehingga dapat diterapkan dan dikembangkan lebih lanjut oleh para praktisi hukum modern. Metode yang digunakan dalam penelitian ini adalah penelitian kepustakaan, yang menggunakan sumber primer dari kitab Ushul Al-Fiqh dan sumber sekunder dari buku dan jurnal lain yang relevan. Teknik pengolahan data yang digunakan adalah kualitatif, dengan menggunakan bentuk analisis induktif dan deduktif. Hasil penelitian ini menunjukkan bahwa dilalah al-Alfaz merupakan faktor penting dalam pembangunan hukum Islam. Menurut aliran Mutakallimin urutan dilālah adalah mantūq sharih, iqtidha', ima', isyarah, mafhūm al-muwafaqah, dan mafhūm al-mukhlafah. Aplikasi kaedah di atas dan contoh penerapannya terhadap ayat zakat memberikan kesimpulan bahwa konsep dilalah al-alfaz sangat berpengaruh terhadap ijtihad ulama dalam pengembangan fatwa zakat kontemporer.
Kedudukan Fatwa Dewan Syariah Nasional dalam Kerangka Politik Hukum Nasional
Authors: Alamudi Ichwan Ahnaz , Kurdi Sulaiman , Hasan Ahmadi
Published: January 2025

Ekonomi Syariah berkembang seiring tuntutan masyarakat muslim yang menginginkan sebuah perekonomian yang bersaing dengan ekonomi ribawi yang bermuara kepada kapitalisme. Tentu perjuangan ini tidak semudah membalikan telapak tangan. Perjuangan politis, sosiologis, huokum, juga mewarnai terbitnya regulasi yang perbankan syariah di Indonesia. Dengan system negara yang tidak Islam, tentu menyulitkan perbankan syariah untuk melakukan transaksi muamalah perbankan syariah menurut kaidah fikih muamalah yang tertulis di kitab-kitab fikih Islam. Produk perbankan syariah yang “dipaksa” harus menyerupai produk perbankan konvensional tentu berpengaruh terhadap konsep teori akad dalam fikih klasik. Di sini peran fatwa DSN-MUI untuk menentukan hukumnya. Fatwa DSN-MUI ini akan menjadi hukum positif apabila diadopsi dalam regulasi yang disahkan menurut UU, seperti diadopsi sebagai pendapat hakim dalam putusannya, atau diadopsi dalam Peraturan Bank Indonesia, Peraturan OJK dan lain-lain. Fatwa DSN-MUI sangat berperan dalam perkembangan ekonomi syariah.
Sistem Kontrak Perdagangan Pada Bursa Berjangka Jakarta (Commidity Exchange) Dalam Perspektif Hukum Islam
Authors: Dewi Shandra Puspita , Sulfinadia Hamda , Efrinaldi Efrinaldi
Published: January 2025

Futures trading is conducted on the futures exchange, where this exchange trades futures contracts for various commodities. Investing in futures trading is like presenting two sides of a coin, namely the risk of loss and the potential for profit. The research problem in this study is how the mechanism of the trading contract system on the Jakarta Futures Exchange and how the trading contract system on the Jakarta Futures Exchange is viewed from the perspective of Islamic law and the fatwa of MUI number 80 of 2011. This study is a literature review (library research). The results of this study show that an investor in futures trading does not need to deposit an amount equal to the value of the contract being traded but only a small percentage of the contract value. Every investor can sell their contract before it expires. At the opening of the contract, investors are required to deposit a margin. If, during the contract period, the selling or buying position incurs losses exceeding the set margin limit, the investor will receive a margin call from the AB to provide additional margin funds until it meets the requirements of the initial margin amount. According to Islamic law and fatwa MUI Number 80 of 2011, transactions involving physically and cash-settled goods (spot market) in the perspective of Islamic law can be tolerated. Meanwhile, in futures exchanges, the trading system tends to lean towards prohibited transactions such as the presence of gharar, maysir, or agreements executed when transactions do not fulfill the pillars and conditions of agreements in islamic law.
Analysis of Hadith on "Poverty" and Its Correlation with the Hadith of "Production" (Study of the Thought Ali Mustafa Yaqub)
Authors: Fatah Hairil
Published: January 2025

Ali Mustafa Yaqub said that the hadith "poverty almost gives rise to disbelief" is weak or wrong. However, there is a hadith of the Prophet Saw., which asks to be kept away from poverty. Because poverty causes impacts such as crime, violence, theft, or loss of (religious) belief. So, hadiths about poverty essentially have the message that being productive is mandatory, just as the Prophet Saw., recommended production in managing land. The aim of this research is to find out Ali Mustafa Yaqub's thoughts about hadiths that talk about poverty and their correlation with production hadiths: farming. The method used is qualitative with the type of library research with primary and secondary sources from various literature. The results of the research show that Ali Mustafa Yaqub's thoughts about the hadith "poverty almost makes disbelief" are weak or false, because it was narrated by  Yazid bin Aban al-Raqqasyi who was accused of lying. Also, the Prophet SAW., asked to be kept away from poverty, This means that poverty will have a negative social and religious impact, does not claim (demands) the possibility of impacting one's faith. So that the hadith about poverty is understood not as a matter of whether it is true or not, but the meaning behind it is a recommendation to actively innovate, creativity, and productive in any way, including production, managing land. So that Muslims become an economically strong people, and are free from the shackles of poverty.
MODELING HOUSE SELLING PRICES IN JAKARTA AND SOUTH TANGERANG USING MACHINE LEARNING PREDICTION ANALYSIS
Authors: Maula Sugha Faiz Al , Setiawan Nicoletta Almira Dyah , Pusporani Elly , Jannah Sa'idah Zahrotul
Published: January 2025

The increasing demand for housing in urban agglomerations, particularly in areas like Jakarta, has made homeownership a significant challenge for many, especially first-time buyers and the lower-middle class. Post-pandemic shifts have further influenced housing preferences, driving interest towards suburban areas with green spaces. Despite government efforts through mortgage subsidy programs, affordability remains a concern, particularly in peripheral regions. This study aims to analyze housing prices in various Jakarta regions using machine learning models, including Multiple Linear Regression (MLR), Support Vector Regression (SVR), Light Gradient Boosting Machine (LGBM), and Random Forest. A dataset of 554 house prices from West Jakarta, South Jakarta, Central Jakarta, and South Tangerang was used. The analysis focused on key predictors like land area, building area, bedrooms, and carports, with R² and Mean Squared Error (MSE) metrics evaluating model performance. Results showed that LGBM and Random Forest outperformed others with 0.8 R2 and low MSE, with building and land area as the most significant factors influencing prices. The study concludes that property size is a primary determinant of house prices, and there is a need for policy interventions to make housing more affordable. Additionally, apartment rentals offer a viable alternative, especially in central urban areas, where proximity to economic activities and facilities is crucial. The findings suggest that enhancing marketplace features with predictive tools could further assist buyers in making informed decisions.
ANALYSING MARKET DYNAMICS: REVEALING OBSCURED PATTERNS IN LQ45 STOCKS (2021-2023) USING WARD’S HIERARCHICAL CLUSTERING
Authors: Theotista Giovanny , Febe Margareta , Ryan Michael Sannova
Published: January 2025

This study aimed to address the instability of the Indonesian stock market from 2021 to 2023 by analyzing the LQ45 index, a critical indicator of economic robustness and corporate performance. Hierarchical Ward clustering was employed to categorize LQ45 stocks based on fundamental metrics such as Return, Volume, Price, Price-Earnings Ratio (PER), Earnings Per Share (EPS), and Dividends. Data preprocessing involved feature creation, Max-Abs scaling for normalization, and binary encoding of categorical variables. The optimal number of clusters was identified using dendrograms, revealing two primary clusters: one focusing on core materials and the other on financial services, alongside other industry-specific clusters. This method, characterized by its ability to minimize variance within clusters and determine natural groupings without predefined assumptions, provided valuable insights for financial advisors, policymakers, and investors. The findings offer practical guidance for optimizing decision-making, minimizing risks, and leveraging opportunities within the Indonesian stock market during a period of significant economic uncertainty. By employing this strategy, investors and traders can gain a comprehensive understanding of the current condition of the stock market, offering a thorough comprehension of the connections between equities and the operational and financial issues currently under scrutiny.
STABILITY ANALYSIS OF THE SIQR MODEL OF DIPHTHERIA DISEASE SPREAD AND MIGRATION IMPACT
Authors: Soleh Mohammad , Nazvira Mutia , Wartono Wartono , Safitri Elfira , Sriningsih Riry
Published: January 2025

Diphtheria is an acute disease that affects the upper respiratory tract caused by Corynebacterium diphtheriae, which can also affect the skin, eyes, and other organs. This article analyzes the stability of the SIQR model of diphtheria disease spread in Mandau District by considering the migration factor. The SIQR model is a development of the SIR model by incorporating the quarantine process as an alternative to reduce morbidity. The purpose of this study is to see the effect of migration on the spread of diphtheria disease in Mandau District through mathematical model simulation. We calculated the disease-free and endemic equilibrium points and the basic reproduction number ( ) of the model. Model parameters were obtained using data from BPS Bengkalis Regency and UPTD Puskesmas Mandau. The calculation resulted in one disease-free equilibrium point and one endemic equilibrium point. If  < 1, then the disease-free equilibrium point is asymptotically stable, and if  > 1, then the endemic equilibrium point is also asymptotically stable. Based on the results of the data analysis, the value of. This value is less than 1, so the equilibrium point obtained is a disease-free and asymptotically stable equilibrium point. This means that the population will be free from diphtheria and the level of migration affects the presence of diphtheria disease in Mandau District.
KNOT OPTIMIZATION FOR BI-RESPONSE SPLINE NONPARAMETRIC REGRESSION WITH GENERALIZED CROSS-VALIDATION (GCV)
Authors: Al Barra Andre Fajry , Saputro Dewi Retno Sari
Published: January 2025

Nonparametric regression is a statistical method used to model relationships between variables without making strong assumptions about the functional form of the relationship. Nonparametric regression models are flexible and can capture complex relationships that may not be adequately represented by simple parametric forms. Spline is one of the approaches used in nonparametric regression. Splines have the disadvantage of having to use optimal nodes in the data. Therefore, this article discusses the retrieval of optimal knot points using the generalized cross-validation method in the nonparametric bi-response spline regression model. The research results showed that the generalized-cross validation method is the best method for selecting nodes from other methods such as CV, AIC, BIC, RSS, or a more explicit validation-based approach method because of the development of the Cross Validation (CV) method which automatically selects the optimal number of nodes based on the balance between bias and variance. The process of optimizing knot points with Generalized Cross Validation (GCV) on bi-response spline nonparametric regression is implemented using Python can provide optimization at optimal knot points. Based on the results of the generalized cross-validation model analysis, it is concluded that GCV can effectively optimize knot points for spline fitting, ensuring a balanced and efficient model in capturing data patterns without overfitting.
CONVOLUTIONAL LSTM FOR EGG PRICES FORECASTING IN INDONESIA’S HIGH STUNTING PREVALENCE PROVINCE
Authors: Pangastuti Sinta Septi , Agam Muhammad Restu , Santika Ananda Hilmi , Rosadi Juzma Fawwaza
Published: January 2025

The Sustainable Development Goals (SDGs) are a series of 17 goals fixed by the United Nations and adopted by 193 countries in 2015, including Indonesia. By 2030, to end all forms of malnutrition, targeting on stunting and wasting in children under 5 years of age is one of the targets from Goals Number 2. One affordable source of protein and nutrition used as a solution to overcome malnutrition problems such as stunting is eggs. Egg price modeling was carried out to see the affordability of prices for the community. Weekly dataset of egg price in NTT Province from 2018 to 2023 used to modeling with Convolutional LSTM. The Convolutional LSTM components are Adam optimizer, ReLU activation function, Huber loss function, with batch size and neurons of 32. The MAPE value obtained from the model is relatively small, with MAPE for training, validation, and testing of 1.97%, 1%, and 1.19% respectively. The results of egg price forecasting for December 11, 2023, to January 8, 2024, show that egg prices tend to continue to decline per week. Thus, a decrease in egg prices can be a good thing in providing more affordable nutrition for the community.
THE EXPLOITATION STATUS OF WORKING SCHOOL-AGE CHILDREN IN INDONESIA: A MULTILEVEL BINARY LOGISTIC REGRESSION ANALYSIS
Authors: Ariansyah Setiawan , Siagian Tiodora Hadumaon
Published: January 2025

Many children in Indonesia are exploited in the workforce. In 2022, 12.22 percent of school-age children worked more than 40 hours per week. Children are considered exploited if they work more than 20 hours a week. Children who work for a long time have serious impacts. This study aims to determine a general picture of the exploitation of working school-age children in Indonesia and its influence factors. This study uses the March 2023 Socioeconomic Survey (SUSENAS) data by utilizing multilevel analysis specifically the two-level binary logistic regression method. The study results showed that 54.22 percent of school-age children are working and exploited in Indonesia. The individual and regional contextual factors that are significantly associated with the exploitation status of working school-age children are age, sex, education level, education of household head, sex of household head, employment status of household head, Smart Indonesia Programme (PIP) ownership status, family size, expected years of schooling (HLS), and poverty level. This study finds that increasing age, male sex, lack of access to the PIP, low household head education, female-headed households, unemployed household heads, and larger household sizes increased the likelihood of child exploitation. Moreover, children residing in districts with lower HLS scores had a higher chance of being exploited. These findings highlight the importance of considering both individual and regional contextual factors when addressing child exploitation. A two-level binary logistic regression model with random effects provides a better fit than the intercept-only model. Therefore, it is recommended to prioritize interventions for children without access to the PIP and those from household heads with low education levels. Furthermore, programs emphasizing the importance of education for children should be strengthened.
COMPARISON OF SARIMA AND SARIMAX METHODS FOR FORECASTING HARVESTED DRY GRAIN PRICES IN INDONESIA
Authors: Yulianti Riska , Amanda Nabila Tri , Notodiputro Khairil Anwar , Angraini Yenni , Mualifah Laily Nissa Atul
Published: January 2025

Harvested dry grain (HDG) is a vital commodity for rice availability and plays a strategic role in Indonesia’s agricultural economy. Farmers typically sell HDG to rice millers post-harvest, yet disparities between farm-level selling prices and consumer-level purchase prices. This price gap can lead to financial losses for farmers, highlighting the need for accurate forecasting can lead to potential losses for farmers. SARIMA models are effective in capturing seasonality and trends but often fail to incorporate external factors influencing the dependent variable, resulting in less accurate forecasts when such factors have significant impacts. SARIMAX models, however, can include exogenous variables like the government purchase price (GPP), which supports farmer income by establishing a price floor for HDG and directly influencing farm-level price dynamics. This study aims to compare the SARIMA and SARIMAX models in forecasting HDG prices at the farm level in Indonesia, using GPP as an exogenous variable. The dataset, obtained from Statistics Indonesia, covers January 2008 to March 2024, and the forecasting accuracy is measured using Mean Absolute Percentage Error (MAPE). The findings indicate that the best model is the SARIMAX model (1,1,1)(0,1,2)12, achieving a MAPE of 10.919%. The forecasted results show that HDG prices in 2024 are expected to remain stable, with only a gradual increase throughout the year.
DEVELOPMENT OF NONPARAMETRIC PATH FUNCTION USING HYBRID TRUNCATED SPLINE AND KERNEL FOR MODELING WASTE-TO-ECONOMIC VALUE BEHAVIOR
Authors: Rohma Usriatur , Fernandes Adji Achmad Rinaldo , Astutik Suci , Solimun Solimun
Published: January 2025

Waste management remains a challenge, including in Batu City, East Java, Indonesia. Rapid population growth and economic activities in the city have resulted in a substantial increase in waste volume. One of the key factors in solving waste problems is the mindset of the community towards waste management. The application of statistical analysis methods can be an effective approach to solving problems related to waste management from an economic point of view. Nonparametric path analysis is a statistical method that does not rely on the assumption that the curve is known. Nonparametric path analysis is performed if the data does not fulfill the linearity assumption.  This study aims to determine the best nonparametric path function with a hybrid truncated spline and kernel approach among EV values of 0.5; 0.8; and 1. In addition, this study also aims to test the significance of the best path function obtained. The data used in this study are timer data obtained from the Featured Basic Research Grant. The results showed that the best model of hybrid truncated spline and kernel nonparametric path analysis is a hybrid model of truncated spline nonparametric path of linear polynomial degree 1 knot and kernel triangle nonparametric path at EV 0.5. In addition, the significance of the best nonparametric truncated spline and kernel hybrid path function estimation using jackknife resampling shows that all exogenous variables have a significant effect on endogenous variables as evidenced by a p-value smaller than (0.05).
THE LOCATING CHROMATIC NUMBER OF CHAIN(A,4,n) GRAPH
Authors: Welyyanti Des , Abel Latifa Azhar , Yulianti Lyra
Published: January 2025

Let  be a connected graph with a vertex coloringsuch that two adjacent vertices have different colors. We denote an ordered partition  where  is a color class with color-, consisting of vertices given color , for . The color code of a vertex  in  is a -vector: . where  is the distance between a vertex  in  and  for . If every two vertices  and  in  have different color codes, , then  is called the locating -coloring of . The minimum number of colors k needed in this coloring is defined as the locating chromatic number, denoted by . This paper determines the locating chromatic number of chain graph and the induction of two graphs . Graph  is a cyclic graph , which is the identification of , for n>2.
APPLICATION OF THE GENERALIZED SPACE TIME AUTOREGRESSIVE (GSTAR) METHOD IN FORECASTING THE CONSUMER PRICE INDEX IN FIVE CITIES OF SOUTH SULAWESI PROVINCE
Authors: Zaki Ahmad , Shafruddin Lutfiah , Thaha Irwan
Published: January 2025

Changes in the Consumer Price Index (CPI) over time reflect the rate of increase (inflation) or decrease (deflation) of goods and services for daily household needs. The CPI and inflation serve as barometers for economic growth stability, as controlled inflation can increase people's purchasing power over time. According to the Central Statistics Agency (2023), in December, the year-on-year (y-o-y) inflation for five cities in South Sulawesi (Bulukumba, Watampone, Makassar, Parepare, and Palopo) was 2.81 percent, with a CPI of 117.35. Of the five cities, the highest y-o-y inflation occurred in Makassar at 2.89 percent, with a CPI of 117.49, while the lowest y-o-y inflation occurred in Palopo at 2.21 percent, with a CPI of 115.60. CPI forecasting is one way to predict future inflation values. This study aims to develop the best GSTAR model for forecasting CPI data for five cities in South Sulawesi, a topic that has not been extensively covered in previous research. The goal is to provide valuable information for maintaining CPI stability in South Sulawesi and to support the formulation of better economic policies. The study focuses on five cities within South Sulawesi, where direct relationships between cities are possible, allowing the spatial model to be limited to the first-order. The data used in this study consists of monthly CPI data from January 2014 to March 2023. The location weights used in the model include uniform weights, inverse distances, and normalized cross-correlations. The model development steps include testing for data stationarity, determining the space-time sequence, calculating location weights, estimating parameters, testing model adequacy, comparing Root Mean Square Error (RMSE), and selecting the best model for forecasting. The best GSTAR model found is GSTAR (1;1)-I(2) with inverse distance weighting, which yielded the smallest RMSE value. The results show that the forecasted values closely match the actual values for each city from March to September 2023.
THE COMPARISON OF ARIMA AND RNN FOR FORECASTING GOLD FUTURES CLOSING PRICES
Authors: Pratiwi Windy Ayu , Rizki Anwar Fajar , Notodiputro Khairil Anwar , Angraini Yenni , Mualifah Laily Nissa Atul
Published: January 2025

In the financial markets, accurately forecasting the closing prices of gold futures is crucial for investors and analysts. Traditional methods like ARIMA (Autoregressive Integrated Moving Average) have been widely used for this purpose, particularly for their effectiveness in short-term stable data forecasting. However, the inherent complexity and dynamic nature of financial data, coupled with trends and seasonal patterns, present significant challenges for long-term forecasting with ARIMA. Conversely, advanced methods such as Recurrent Neural Networks (RNN) have shown promise in handling these complexities and providing reliable long-term forecasts. This research seeks to evaluate and compare the performance of ARIMA and RNN in forecasting daily gold futures closing prices using forecast accuracy tests namely RMSE and MAPE, aiming to identify the optimal method that balances accuracy, stability, and adaptability to trends and seasonal variations in the financial market. The daily data for this analysis is sourced from Investing.com (https://www.investing.com).
A MATHEMATICAL APPROACH TO INVESTMENT WITH CHARGE ON BALANCE AND VOLUNTARY CONTRIBUTIONS UNDER WEIBULL MORTALITY FORCE FUNCTION
Authors: Akpanibah Edikan Edem , Benneth Peter , Esabai Ase Matthias
Published: January 2025

One of the many challenges encountered by most pension fund administrators (PFAs) in the Defined Contribution (DC) pension plan is the determination of a sustainable and suitable investment plan for their members under mortality risk. To achieve this, there is need to develop an optimal portfolio which considers the volatility of the stock market price consisting of one risk-free asset and a risky asset which follows the Heston volatility model (HVM). Also, the portfolio considers additional voluntary contributions (AVC) by members, tax on the stock market price, charge on balance (CB), and the mortality risk of the pension scheme members (PSM) modeled by the Weibull mortality force function.  Furthermore, an optimization problem is established from the extended Hamilton Jacobi Bellman (EHJB) equation using variational method. By applying the variable separation technique and mean variance utility, the optimal control strategy (OCS) and the efficient frontier are obtained. Finally, some numerical simulations are presented to study the behavior of the OCS with respect to some sensitive parameters. It was discovered that the composition of the OCS depends on the instantaneous volatility, tax on investment, AVC, risk aversion coefficient (RAC), CB and the correlation coefficient. Hence, the understanding of the behaviour these parameters are very crucial in the determination of OCS.
MULTINOMIAL LOGISTIC REGRESSION MODEL USING MAXIMUM LIKELIHOOD APPROACH AND BAYES METHOD ON INDONESIA'S ECONOMIC GROWTH PRE TO POST COVID-19 PANDEMIC
Authors: Purwanto Arie , Suprayogi Muhammad Aziz , Setiawan Erwan , Loly Joao Ferreira Rendes Bean , Rahman Gusti Arviana , Kurnia Anang
Published: January 2025

Economic growth in Indonesia has become a major concern in the global context, especially before and after the Covid-19 pandemic. Key sectors such as tourism, manufacturing, trade and transportation have been seriously affected by restrictions on travel and economic activity imposed to control the spread of the virus. Therefore, it is considered necessary to carry out modeling to describe existing conditions. In this research, two approaches were used, namely the Maximum Likelihood approach and the Bayes approach. The use of methods in general as research material for researchers to study these two methods further. So far the algorithm used for the Bayes concept method is Markov Chain Monte Carlo with Hasting's Metropolis method. The parameter estimation results obtained from both methods are considered quite identical. However, it is necessary to pay attention to the iteration procedure that will be carried out. The selection of factors used in the iteration process is very determining in obtaining estimated parameter values. Furthermore, the results obtained so far do not contain any fundamental differences regarding economic growth in Indonesia. In general, Indonesia can be said to be stable in terms of economic growth.
SPATIAL MODELING OF MATERNAL HEALTH: GEOGRAPHICALLY WEIGHTED POISSON REGRESSION ON MATERNAL MORTALITY FACTORS
Authors: Yuliana Alfa , Fauzan Achmad
Published: January 2025

Data from the 2021 West Java Provincial Health Profile Report, accessed from the official website of the West Java Provincial Health Office, reveals a significant surge in maternal mortality cases, rising from 165 in 2020 to 460 in 2021. In support of efforts to reduce maternal mortality rates, this study investigates the contributing factors to this phenomenon across various districts in West Java Province. The data used is from the year 2021. This study aims to evaluate the effectiveness of Poisson regression, negative binomial regression, and Geographically Weighted Poisson Regression (GWPR) models in capturing the variability of maternal deaths in the study area for that year. A comprehensive analysis revealed that the distribution of maternal mortality fits the Poisson model, displaying significant spatial heterogeneity. Acknowledging this variability, the GWPR approach using an Adaptive Kernel Bisquare weighting was selected due to its capability to produce localized parameter estimates, which more accurately reflect the specific conditions of each location. The analyzed independent variables include the number of community health centers, coverage of antenatal services at the first (K1) and fourth (K4) visits, management of obstetric complications, and coverage of iron supplementation for pregnant women. Of the five variables, only three showed statistically significant effects; therefore, the study proceeded using these three variables. The results indicate that GWPR provides the best explanation for the variability in maternal mortality rates, with an adjusted R² value of 63.17% and a MAPE of 37.70%.
CONSUMER PRICE INDEX MODELING USING A MIXED TRUNCATED SPLINE AND KERNEL SEMIPARAMETRIC REGRESSION APPROACH
Authors: Hidayati Lilik , Hadijati Mustika , Purnamasari Nur Asmita , Ristiandi Ristiandi , Kartini Ni Nyoman Dewi
Published: January 2025

Some semiparametric regression model approaches include spline, kernel, Fourier series, and wavelet. Semiparametric regression modelling can involve more than one independent variable (multivariable), a parametric approach is usually combined with one of the nonparametric approaches, such as combining a parametric approach with a nonparametric kernel. If a consumer price index model can be built based on the variables that influence it, predictions of consumer price percentages can be made, which it is hoped will help the government determine policies to control consumer price inflation, especially in NTB Province. The data used in this research includes the consumer price index and the factors that influence it according to districts/cities in NTB Province from 2022 to April 2024. The data source was obtained from secondary data at BPS NTB Province. This research design uses a mixed semiparametric approach of truncated spline and kernel regression. Based on calculations, the predicted results of the consumer price index in NTB Province show that the predicted data graph  is very close to the actual data . Modelling the consumer price index in NTB Province is a model with 2 knot points, where the model efficiency has the smallest GCV value of 0.001507. The model goodness value  is 0.99, meaning that the variables used can explain 99% of the model variability.