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All Journal Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika PENGABDI: Jurnal Hasil Pengabdian Masyarakat Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Jurnal Ilmiah Kampus Mengajar UNP Journal of Statistics and Data Science International Conference on Education for All Jurnal Audiens E-Jurnal Matematika Jurnal Penelitian Sains Teknologi
Al-Kubro, Putri Balqis
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Pengembangan Metode Komunikasi Dakwah Tabligh Komunitas Life Is Right dalam Membentuk Karakter Pancasila pada Anak Fajar Istikhomah; Awit Istighfarin; Putri Balqis Al-Kubro; Malik Ibrahim; Muhammad Qolbi Shobri
Jurnal Audiens Vol. 5 No. 1 (2024): March
Publisher : Universitas Muhammdiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jas.v5i1.348

Abstract

Dakwah merupakan sebuah bentuk komunikasi yang paling sederhana namun memiliki keistimewaan. Sedangkan tabligh merupakan salah satu bentuk dakwah yang berfungsi untuk mengenalkan materi atau menginternalisasi nilai Islam terhadap mad’u. dalam perkembangan ilmu pengetahuan, keilmuan yang mengkaji dakwah semakin berkembang. Sehingga, terdapat pengembangan-pengembangan dalam metodenya untuk mempermudah pesan atau materi dakwah diterima oleh mad’u, salah satunya adalah dengan memahami kondisi mad’u secara psikologi. Dalam penelitian ini berfokus pada bagaimana pengembangan metode komunikasi dakwah tabligh terhadap anak. Hal tersebut perlu dilakukan, karena anak memiliki keistimewaan secara psikologis. Sedangkan metode penelitian yang dilakukan adalah deskriptif kualitatif, dengan pendekatan psikologi dan participatory action research. Dalam penelitian ini berhasil mendeskripsikan pngembangan metode komunikasi dakwah tabligh yang dilakukan komunitas Life is Right (LR) untuk mempermudah anak-anak menerima pesan atau materi yang disampaikan. Metode tersebut yaitu wayang orang, boneka tangan, drama, puzzle, dan diskusi dengan materi dakwah karakter Pancasila.
PERHITUNGAN BESARAN BUNGA KREDIT PADA KOPERASI SIMPAN PINJAM (STUDI KASUS: KSP ARTHA SEGARA) Putri Balqis Al-Kubro
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 8 No. 1 (2025): Sains Matematika dan Pendidikan Matematika
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v8i1.4512

Abstract

Tingginya perilaku konsumtif pada masyarakat terkadang menyebabkan mereka dihadapkan pada kondisi yang mengharuskan mereka untuk berhutang agar keperluannya terpenuhi. Banyak lembaga keuangan yang akhirnya muncul untuk ikut memenuhi kebutuhan manusia dalam hal perekonomian, salah satunya Koperasi Simpan Pinjam (KSP) Artha Segara. KSP Artha Segara menetapkan bunga flat sebesar 2% per bulan untuk setiap pinjaman nasabahnya. Padahal perhitungan besaran bunga kredit tidak hanya menggunakan bunga flat, tetapi juga bisa dilakukan dengan menggunakan bunga efektif dan bunga tunggal. Namun, belum banyak nasabah yang mengetahui perbedaan antara bunga flat, bunga efektif, dan bunga anuitas, bahkan mereka seringkali bingung. Studi ini bertujuan untuk memberikan gambaran tentang perhitungan bunga flat, bunga efektif, dan bunga anuitas pada perhitungan koperasi simpan pinjam agar KSP yang ada di Indonesia bisa menawarkan lebih banyak opsi simpan pinjam pada nasabahnya karena semua perhitungan bunga kredit tetap menguntungkan. Selain itu, berdasarkan penelitian ini diharapkan para pembaca ataupun nasabah KSP di Indonesia lebih paham mengenai perhitungan besaran bunga kredit. Hasil penelitian ini adalah keuntungan yang akan diperoleh KSP Artha Segara menggunakan bunga flat memang lebih menguntungkan dibandingkan dengan bunga kredit lainnya. Sedangkan, bunga kredit yang paling baik digunakan oleh nasabah adalah bunga efektif karena perhitungan bunganya semakin lama semakin sedikit dan total yang dibayarkan kepada debitur tidak terlalu besar.
Aplikasi Metode Ward dengan Berbagai Pengukuran Jarak (Studi Kasus: Klasifikasi Tingkat Perekonomian di Indonesia) Andyani, Rhavida Anniza; Shobri, Muhammad Qolbi; Baihaqi, Muhamad Adzib; Al-Kubro, Putri Balqis; Adhantoro, Muhammad Syahriandi
Jurnal Ilmiah Kampus Mengajar Vol. 4, No. 2, Oktober 2024
Publisher : Asosiasi Lembaga Pendidikan Tenaga Kependidikan Perguruan Tinggi Muhammadiyah Aisyiyah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56972/jikm.v4i2.208

Abstract

Metode Ward merupakan metode hierarchical clustering dimana jarak digunakan sebagai acuan dalam proses klasterisasi. Penelitian ini menggunakan 5 jarak yang berbeda yang diaplikasikan pada tujuh variabel yang berkaitan tentang ekonomi, yakni Produk Domestik Regional Bruto (PDRB), Pengeluaran Pemerintah, Penanaman Modal Dalam Negeri (PMDN), Penanaman Modal Asing (PMA), Tingkat Partisipasi Angkatan Kerja (TPAK), Indeks Pembangunan Manusia (IPM), dan Rasio Elektrifikasi. Data yang digunakan diperoleh dari data BPS dari 34 provinsi tahun 2022. Tujuannya mengetahui jarak optimal dalam penerapan klasifikasi dengan menggunakan metode Ward pada data ekonomi. Selain itu untuk mengetahui provinsi mana saja yang tergolong dalam tingkat ekonomi rendah, sedang, dan tinggi. Dengan menggunakan nilai Agglomerative Coefficients menunjukkan bahwa jarak squared Euclidean bernilai paling tinggi yang dapat diartikan merupakan jarak paling optimal diantara kelima jarak yang digunakan (Euclidean, Squared Euclidean, Manhattan, Minkowski, dan Canberra). Tiga klaster yang dihasilkan dengan menggunakan jarak squared Euclidean adalah klaster 1 merupakan provinsi dengan tingkat ekonomi rendah yang terdiri dari 24 provinsi, klaster 2 terdiri dari 9 provinsi tergolong dalam tingkat ekonomi menengah, dan klaster 3 terdiri dari 1 provinsi, yakni DKI Jakarta yang termasuk dalam perekonomian tinggi.
The Use of LKPD Based on the Make A Match Model to Improve Digital Writing Skills in Low Grade Elementary Schools Prayitno, Harun Joko; Mahmudah, Siti Nur; Pradana, Fajar Gemilang; Al-Kubro, Putri Balqis; Baihaqi, Muhamad Adzib
International Conference on Education for All Vol. 2 No. 1 (2024)
Publisher : Asosiasi Lembaga Pendidikan Tenaga Kependidikan Peguruan Tinggi Muhammadiyah dan Aisyiyah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to explain the improvement of digital writing skills by using LKPD based on the make a match model. This research was conducted at SD N Pajang 03, precisely in the lower grade. This research method is descriptive qualitative, with literature study. The data obtained came from primary data and secondary data. Primary data was obtained from direct observation by researchers. Meanwhile, secondary data comes from books, articles, and other written works. There are three ways in data collection techniques, namely, observation, interviews, and documentation. The data analysis technique in this study uses the Miles and Huberman model, namely 1) Data collection; 2) data reduction; 3) data display / data presentation; and 4) drawing conclusions. Testing the validity of the data, researchers used data tringulation techniques, namely by combining the data obtained and reinforced with theories from the results of literature studies or other related research. The results of this study indicate that digital writing skills through LKPD based on the make a match model in low-grade elementary school students are stated to increase, this is evidenced by an increase in digital writing skills between cycle 1 (number of 20 students, good category 14 students with 70% presentation, quite good 5 students with 25% presentation, and very good category 1 student with 5% presentation). There was an increase in Cycle II with an increase in presentation of 35% in the very good category and a decrease in presentation of 10%. The conclusion is that the use of LKPD based on the make a match model can improve the digital writing skills of low grade elementary schools.
Cluster Analysis of BPJS Kesehatan Claim Data in Madiun City to Identify High Claim Patterns and Fraud Indications Shobri, Muhammad Qolbi; Al-Kubro, Putri Balqis; Kawuri, Gabriella Vindy
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 13 Issue 3 December 2025
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v13i3.35013

Abstract

The increasing number of BPJS Kesehatan (Health Social Security) service claims in Madiun City poses significant challenges to financing efficiency and raises concerns about potential irregular or fraudulent claims. This study aims to identify high-claim patterns and detect indications of fraud using a data mining approach through the K-Means and Hierarchical Clustering methods. The research employed secondary data consisting of 309 hospital claim records from Madiun City in 2025. The primary variables were the number of claims and total claim costs, supported by additional variables such as age, gender, occupation, type of service, and disease diagnosis. Data analysis involved three main stages: preprocessing, clustering, and cluster quality evaluation using the Silhouette Score, Davies-Bouldin Index, and Calinski-Harabasz Index. Ths Study further compared the performance of both clustering methods, revealing that K-Means achieved superior validity scores across major evaluation metrics. The K-Means method produced the best performance, with a Silhouette Score of 0.617 and a Calinski-Harabasz Index of 419.581, reflecting well-separated and compact cluster structures. Three main clusters were identified-low, medium, and high. The high-claim cluster consisted of participants aged 55 years and above, with a claim frequencies of 2 to 7 claims and total claim costs exceeding IDR 20 million. This cluster was dominated by retirees, housewives, and private-sector employees utilizing inpatient services. Although categorized as a high-risk group, verification results revealed no signs of fraud but rather complex medical needs. These findings suggest that integrating clustering analysis into BPJS Kesehatan’s claim monitoring system can support early anomaly detection and enhance both financing efficiency and claim management integrity.
Inovasi Pembelajaran Matematika: Penggunaan Permainan Congklak untuk Meningkatkan Pemahaman FPB KPK di SDN Kinandang, Magetan Al-Kubro, Putri Balqis; Andyani, Rhavida Anniza; Shobri, Muhammad Qolbi; Istikhomah, Fajar; Amalia, Dyahayyu; Jeksen, Maikel
PENGABDI PENGABDI: VOL. 6, NO.2 (2025)
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/pengabdi.v6i2.82011

Abstract

Abstrak. Siswa SD Negeri Kinandang di Kabupaten Magetan sering mengalami kesulitan dalam memahami materi Matematika, terutama pada konsep Kelipatan Persekutuan Terkecil (KPK) dan Faktor Persekutuan Terbesar (FPB). Masalah utama yang dihadapi adalah kebingungan dalam membedakan kedua konsep tersebut, sehingga banyak siswa melakukan kesalahan dalam penerapannya. Untuk mengatasi masalah ini, dilakukan Pengabdian kepada Masyarakat dengan mengusulkan penggunaan permainan tradisional congklak sebagai media pembelajaran inovatif. Congklak dipilih karena sifatnya yang interaktif dan menyenangkan, sehingga diharapkan dapat mempermudah pemahaman siswa terhadap KPK dan FPB. Selain itu, pendekatan ini juga bertujuan untuk melestarikan permainan tradisional sebagai bagian dari kearifan lokal. Keberlanjutan inovasi ini terletak pada potensi pemanfaatannya oleh guru sebagai alat bantu ajar, sekaligus mendorong pengembangan metode pembelajaran kreatif lainnya. Hasil dari Pk Mini adalah adanya peningkatan kemampuan siswa dalam menyelesaikan soal-soal terkait KPK dan FPB secara lebih cepat dan akurat berdasarkan hasil pre-test dan post-test. Dengan demikian, penelitian ini tidak hanya berkontribusi pada pemahaman matematika, tetapi juga turut menjaga warisan budaya melalui integrasi permainan tradisional dalam pendidikan. Kata Kunci: Congklak, FPB, KPK.
Forecast Accuracy Comparison Between Holt’s Method and the Box-Jenkins Approach: The Case of Madiun City Labor Force Participation Rate Muhammad Qolbi Shobri; Yan Aditya Pradana; Putri Balqis Al-Kubro; Nayla Desviona; Nila Destia Nasra
UNP Journal of Statistics and Data Science Vol. 3 No. 3 (2025): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol3-iss3/413

Abstract

Pacitan district recorded the highest Labor Force Participation Rate (LFPR) in Eastern Java Province. Meanwhile, Madiun city which is one of the largest cities in East Java Province, is ranked only 34 out of 39 cities in 2023. This condition raises concern for the local government, perticularly the Department of Manpower,in ensuring that the productive-age population can be optimally absorbed into the labor market. The LFPR is categorized as time series data, thus forecasting method are required to estimate its future trends.This Study compares the performance of the Double Exponential Smoothing Holt (DESH) method and the Autoregressive Integrated Moving Average (ARIMA) Box-Jenkins approach in forecasting the LFPR of Madiun City. The empirical result show that the ARIMA (1,0,1) model provides better accuracy compared to DESH. The forecasting result  indiacte that the LFPR of Madiun City is project to reach 67,19% in 2024, 67,20% in 2025, and 67,21% in 2026, with  Mean Squared Error (MSE) of 14,48; Root Mean Square Error (RMSE) of 3,80 and Mean Absolute Percentage Error (MAPE) of 4,75%. These finding are expected to serve as reference for future research and practical input for policymakers in formulating strategies to improve labor LFPR in Madiun City.
ANALISIS RISIKO PERDAGANGAN BAWANG MERAH DENGAN VOLATILITAS HISTORIS DAN VALUE AT RISK YAN ADITYA PRADANA; LENNY PUSPITA DEWI; PUTRI BALQIS AL KUBRO; SATRIYO PRIYO HANDOKO; MUHAMMAD ULUL ALBAB; FRANSISKUS FIDO EKA KURNIA NUGRAHA
E-Jurnal Matematika Vol. 15 No. 3 (2026)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2026.v15.i03.p511

Abstract

Shallots are one of Indonesia's most important horticultural commodities, however their prices are highly volatile, creating significant financial risks for farmers and traders. This study aims to quantify the price risk of shallot trading in East Java Province and Nganjuk Regency using historical volatility, Value at Risk (VaR), and Conditional Value at Risk (CVaR) based on rolling windows of 10, 20, &40 days. The log-return series were found to be non-normally distributed (Shapiro–Wilk, p<0.05) but stationary (ADF, p<0.05), supporting the use of the historical simulation approach. The results show that Nganjuk exhibits substantially higher price volatility than East Java, particularly over the 10-day rolling window. Consistent with this finding, the 95% VaR indicates that Nganjuk has a higher potential short-term loss than East Java (-0.0133 compared with-0.0065). Furthermore, CVaR provides a more conservative estimate of downside risk, indicating that the expected loss beyond the VaR threshold in Nganjuk is considerably larger than that estimated by VaR alone. These findings demonstrate that combining historical volatility, VaR, &CVaR provides a more comprehensive assessment of extreme price risk than volatility analysis alone, thereby extending the application of quantitative risk measurement to agricultural commodity trading and supporting risk management and policy decisions.
Valorization of Crab Shell Waste into Onion Sticks: Physicochemical Characteristics and Sensory Acceptance of Soft-Shell Crab and Blue Swimming Crab Shell Flours Santosa Pradana Putra Setya Negara; Dicky Pratama; Putri Balqis Al Kubro
Jurnal Penelitian Sains Teknologi Vol. 1 No. 2 (2025)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/saintek.v1i2.19790

Abstract

Crab shell waste is an abundant fisheries by-product that remains underutilized despite its potential as a source of minerals and other valuable components. This study aimed to evaluate the physicochemical characteristics and sensory acceptance of onion sticks formulated with different types of crab shell flour. A Completely Randomized Design was applied using four treatments: control, soft-shell crab (Scylla serrata) shell flour, blue swimming crab (Portunus pelagicus) shell flour, and a mixture of both shell flours, with three replications. Analyses included moisture content, ash content, instrumental color (L*, a*, and b*), descriptive sensory evaluation by eight trained panelists, and hedonic testing by 50 untrained panelists. Data were analyzed using ANOVA followed by Duncan’s Multiple Range Test at a 5% significance level. Crab shell flour increased the ash content and modified the color characteristics of the onion sticks while enhancing crab-related aroma and flavor. Although shell flour increased the perception of sandy texture, crispness remained relatively stable across treatments. The hedonic evaluation showed that the soft-shell crab treatment achieved overall acceptance comparable to the control and exhibited a more favorable sensory profile than the blue swimming crab treatment. These findings indicate that soft-shell crab shell flour has potential as a value-added ingredient for onion stick production and as an alternative approach for utilizing crab shell waste.
Co-Authors Aji, Angelia Sukma Ningrum Afrida Yono Putri Amalia, Dyahayyu Dicky Pratama Fajar Istikhomah Fitriyya, Munaaya FRANSISKUS FIDO EKA KURNIA NUGRAHA Handayani, Ponjaya Tri Harun Joko Prayitno Ifani, Muhammad Zulfi Istighfarin, Awit Istikhomah, Fajar Ita Nuryana Jeksen, Maikel Kawuri, Gabriella Vindy Lenny Puspita Dewi M. Ulul Albab Mahmudah, Siti Nur Malik Ibrahim Muhamad Baihaqi Muhammad Qolbi Shobri Muhammad Syahriandi Adhantoro Muzakar Isa Nayla Desviona Nila Destia Nasra Pradana, Fajar Gemilang Rhavida Anniza Andyani Santosa Pradana Putra Setya Negara SATRIYO PRIYO HANDOKO Setyawati, Yayuk Siswanto, Hery Umi Budi Rahayu Yan Aditya Pradana