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Diabetes Mellitus (DM) is a metabolic disease with an increasing prevalence and a risk of causing macrovascular complications such as stroke. This study aimed to describe the characteristics of Diabetes Mellitus patients with stroke complications based on CT-scan results at RSKD Dadi Makassar in 2024–2025. This was a descriptive observational study with a retrospective design using medical record data. Samples were taken using a total sampling technique, comprising 60 patients, and analyzed univariately using the Statistical Product and Service Solutions (SPSS) version 26. The results showed that the majority of respondents were in the late elderly group (>56 years) at 66.7%, female (51.7%), and from the Makassar ethnic group (63.3%). Most respondents experienced hyperglycemia in random blood glucose (66.7%) and had uncontrolled fasting blood glucose (68.3%) and HbA1c (76.7%) levels. CT-scan results were dominated by non-specific cerebral infarction (68.3%), with ischemic stroke as the most common type (93.3%), a length of stay of 5–10 days (53.3%), and right-sided hemiparesis as the most common clinical manifestation (45.0%). It was concluded that DM patients with stroke complications were generally elderly, female, had poor glycemic control, and were dominated by ischemic stroke with non-specific cerebral infarction. Abstrak. Diabetes Melitus (DM) merupakan penyakit metabolik dengan prevalensi yang terus meningkat dan berisiko menimbulkan komplikasi makrovaskular berupa stroke. Penelitian ini bertujuan untuk mengetahui gambaran karakteristik pasien Diabetes Melitus yang mengalami komplikasi stroke berdasarkan hasil CT-scan di RSKD Dadi Makassar tahun 2024–2025. Penelitian ini merupakan penelitian observasional deskriptif dengan desain retrospektif menggunakan data rekam medis. Sampel diambil dengan teknik total sampling sebanyak 60 pasien dan dianalisis secara univariat menggunakan Statistical Product and Service Solutions (SPSS) versi 26. Hasil penelitian menunjukkan mayoritas responden berusia lansia akhir (>56 tahun) sebanyak 66,7%, berjenis kelamin perempuan (51,7%), dan berasal dari Suku Makassar (63,3%). Sebagian besar responden mengalami hiperglikemia pada GDS (66,7%) serta memiliki kadar GDP (68,3%) dan HbA1c (76,7%) yang tidak terkontrol. Hasil CT-scan didominasi oleh infark serebri tidak spesifik (68,3%) dengan jenis stroke terbanyak berupa stroke iskemik (93,3%), lama rawat inap terbanyak 5–10 hari (53,3%), dan manifestasi klinis tersering berupa hemiparese dextra (45,0%). Disimpulkan bahwa pasien DM dengan komplikasi stroke umumnya berusia lanjut, berjenis kelamin perempuan, memiliki kontrol glikemik yang buruk, dan didominasi oleh stroke iskemik dengan gambaran infark serebri tidak spesifik.

Penelitian ini bertujuan untuk menganalisis pengaruh inflasi, suku bunga Federal Funds Rate (The Fed), dan pertumbuhan ekonomi Indonesia terhadap Indeks Harga Saham Gabungan (IHSG) selama periode 2005–2025. Penelitian menggunakan pendekatan kuantitatif dengan memanfaatkan data sekunder berbentuk deret waktu (time series) tahunan. Analisis dilakukan menggunakan metode regresi linear berganda dengan bantuan perangkat lunak IBM SPSS Statistics. Sebelum dilakukan estimasi model, terlebih dahulu dilakukan pengujian asumsi klasik yang meliputi uji normalitas, multikolinearitas, autokorelasi, dan heteroskedastisitas untuk memastikan bahwa model regresi memenuhi persyaratan statistik. Pengujian hipotesis dilakukan melalui uji F untuk menguji pengaruh variabel independen secara simultan, uji t untuk menganalisis pengaruh masing-masing variabel secara parsial, serta koefisien determinasi (R²) untuk mengukur kemampuan model dalam menjelaskan variasi IHSG. Hasil penelitian menunjukkan bahwa model regresi telah memenuhi seluruh asumsi klasik sehingga layak digunakan dalam analisis. Pengujian simultan membuktikan bahwa inflasi, suku bunga The Fed, dan pertumbuhan ekonomi secara bersama-sama berpengaruh signifikan terhadap IHSG. Sementara itu, hasil uji parsial menunjukkan bahwa hanya suku bunga The Fed yang berpengaruh negatif dan signifikan terhadap IHSG, sedangkan inflasi dan pertumbuhan ekonomi tidak menunjukkan pengaruh yang signifikan secara statistik. Nilai koefisien determinasi sebesar 52,4% mengindikasikan bahwa variasi IHSG dapat dijelaskan oleh ketiga variabel independen dalam model, sedangkan 47,6% sisanya dipengaruhi oleh faktor lain di luar penelitian. Temuan ini diharapkan dapat menjadi referensi bagi investor maupun pembuat kebijakan dalam memahami pengaruh kondisi makroekonomi terhadap dinamika pasar modal Indonesia.

This study examines the influence of interest rates and the rupiah exchange rate on the money supply in Indonesia during the 2023–2025 period. A quantitative research approach was employed using monthly secondary data obtained from Statistics Indonesia (BPS) and Bank Indonesia (BI). The data were analyzed through multiple linear regression with the assistance of SPSS software. Several statistical procedures were applied, including classical assumption tests, partial significance tests (t-tests), simultaneous significance tests (F-tests), and coefficient of determination (R²) analysis. The findings reveal that interest rates have a significant negative effect on the money supply, while the rupiah exchange rate exerts a significant positive influence. Furthermore, the simultaneous test indicates that both variables collectively have a significant impact on the money supply. The coefficient of determination shows that 85.4% of the variation in the money supply can be explained by changes in interest rates and the rupiah exchange rate. These results highlight the importance of maintaining stable interest rates and exchange rates as essential components of monetary policy aimed at regulating the money supply and preserving monetary stability in Indonesia.

Picky eating behavior is a common feeding problem among preschool-aged children. Children who exhibit picky eating tendencies often reject various types of food, especially new or unfamiliar ones, placing them at risk of an imbalanced intake of macronutrients such as energy, protein, fat, and carbohydrates. Inadequate nutritional intake over the long term may negatively impact a child's nutritional status and growth. This study aims to examine the relationship between picky eating behavior and the adequacy of macronutrient intake including energy, protein, fat, and carbohydrates and nutritional status among preschool children at Lab School 1 Kindergarten, State University of Surabaya. This research utilized a quantitative design with a cross-sectional approach. The study population consisted of 60 preschool children aged 4–6 years (48–73 months), selected using total sampling. After applying inclusion and exclusion criteria, a total of 37 respondents were included. Data were collected using the Child Eating Behavior Questionnaire (CEBQ) to assess picky eating behavior, interviews with the Semi-Quantitative Food Frequency Questionnaire (SQ-FFQ) to evaluate macronutrient intake, and anthropometric measurements to determine nutritional status. Data analysis was conducted using the Spearman Rank correlation test. The results showed a significant relationship between picky eating behavior and energy intake (p=0.002; r=0.495), fat intake (p=0.002; r=0.502), carbohydrate intake (p=0.006; r=0.443), and nutritional status (p=0.002; r=-0.493) among preschool children at Lab School 1 Unesa. However, no significant relationship was found between picky eating behavior and protein intake (p=0.064; r=0.307).

The flash floods that struck Aceh Tamiang caused infrastructure damage and contaminated clean water sources, making it difficult for residents to obtain potable water. This situation increases the risk of water-borne diseases and worsens the post-disaster situation. This research aims to develop a large-scale, simple water filtration prototype as an emergency response solution that is effective, economical, and easy to implement by affected communities. The methods used include field observation, water sampling, testing simple physical parameters (turbidity, color, odor, and pH), and designing a gravity-based, multi-stage filtration system without electricity. The prototype uses a combination of filter media such as gravel, silica sand, activated charcoal, and natural fibers in a drum system. Test results show a decrease in turbidity levels from 150–300 NTU to 5–15 NTU after the filtration process, as well as an increase in pH to near neutral. The filtered water is declared suitable for sanitation and consumption after undergoing a further disinfection process. In addition to implementing the technology, this research also includes public education regarding the selection of safe water sources and maintenance of the filtration system. Based on these results, this large-scale simple water filtration prototype is effective as an appropriate technological solution in handling the post-disaster clean water crisis and has the potential to be replicated in other flood-prone areas.

The intake of macro and micro nutrients is very important because the intake of these macronutrients is the main contributor to energy which is the main source for muscle growth. The purpose of this study is to determine the intake of macro and micro nutrients in the Islamic Islamic Boarding School Padang Garugur Padang Lawas Utara. This type of research is a quantitative descriptive research with the aim of creating a description or descriptive of a state of the research object. Data collection was conducted through interviews using macro and micro nutrient tester questionnaires. The questionnaire was given to students and students. The data were analyzed univariate to determine the distribution and frequency. The results of the study showed that the intake of macronutrients of students was in the protein intake of 19 respondents in the poor category, carbohydrate intake as many as 7 respondents in the poor category, and fat intake in 10 respondents in the poor category. The intake of micronutrients, namely the intake of drinking water consumed by students, was 9 respondents in the category of lack. It is recommended that students need to consume a variety of food and beverage intake that has nutritional content, in order to meet nutritional needs.

The intake of macro and micro nutrients is very important because the intake of these macronutrients is the main contributor to energy which is the main source for muscle growth. The purpose of this study is to determine the intake of macro and micro nutrients in the Islamic Islamic Boarding School Padang Garugur Padang Lawas Utara. This type of research is a quantitative descriptive research with the aim of creating a description or descriptive of a state of the research object. Data collection was conducted through interviews using macro and micro nutrient tester questionnaires. The questionnaire was given to students and students. The data were analyzed univariate to determine the distribution and frequency. The results of the study showed that the intake of macronutrients of students was in the protein intake of 19 respondents in the poor category, carbohydrate intake as many as 7 respondents in the poor category, and fat intake in 10 respondents in the poor category. The intake of micronutrients, namely the intake of drinking water consumed by students, was 9 respondents in the category of lack. It is recommended that students need to consume a variety of food and beverage intake that has nutritional content, in order to meet nutritional needs.

The study aims to analyze the influence of financial distress, leverage, and macroeconomic fundamentals on financial reporting fraud in state-owned enterprises (SOEs) listed on the Indonesia Stock Exchange (IDX) for the 2020–2024 period. A quantitative approach coupled with multiple linear regression analysis was employed. A saturated sampling technique was used to select 23 companies with 115 observation units. The data used were secondary data from published financial reports on the IDX. The results indicate that financial distress and macroeconomic fundamentals have no effect on financial reporting fraud, while leverage has a positive effect on financial reporting fraud. The model in this study is able to explain 6.9% of the variation in financial reporting fraud, while the remaining amount is influenced by factors outside the model. These findings indicate that companies with high debt levels are more likely to commit financial reporting fraud, while companies with financial problems and high interest rates are less likely to commit financial reporting fraud.

Penelitian ini mengeksplorasi fenomena kecurangan pada PT Dana Syariah Indonesia (DSI) melalui pisau analisis Fraud Triangle milik Donald R. Cressey (1953). Fenomena penyimpangan di PT Dana Syariah Indonesia (DSI) tercatat sebagai skandal keuangan paling masif pada sektor P2P lending berbasis syariah di tanah air. Sepanjang tahun 2018 hingga 2025, kerugian finansial yang ditimbulkan diestimasi menyentuh Rp2,4 triliun dengan total korban mencapai lebih dari 15.000 pemberi dana. Penelitian ini menggunakan metode kualitatif deskriptif dengan pendekatan studi kasus. Data dikumpulkan melalui studi dokumentasi dari berbagai sumber, meliputi laporan resmi OJK, siaran pers Bareskrim Polri, temuan PPATK, serta publikasi berita terverifikasi. Hasil penelitian menunjukkan bahwa ketiga elemen Fraud Triangle terbukti hadir dalam kasus DSI: (1) Tekanan (pressure) berupa kebutuhan likuiditas internal dan target imbal hasil tinggi 16–18% per tahun yang tidak realistis; (2) Kesempatan (opportunity) berupa lemahnya pengawasan OJK terhadap fintech syariah, ketiadaan audit independen yang efektif, dan eksploitasi kepercayaan berbasis label syariah; serta (3) Rasionalisasi (rationalization) berupa pembenaran pelaku dengan menggunakan argumen ekonomi makro dan penyalahgunaan nilai-nilai syariah sebagai perisai. Penelitian ini juga mengintegrasikan perspektif akuntansi forensik sebagai alat deteksi dan pencegahan fraud. Temuan penelitian ini diharapkan menjadi kontribusi ilmiah bagi penguatan regulasi, pengawasan fintech syariah, serta literasi keuangan masyarakat.

Penelitian ini mengkaji transformasi strategis manajemen risiko finansial melalui penerapan Digital Twins (DT) dengan pendekatan Systematic Literature Review (SLR). DT berevolusi dari sekadar model manufaktur menjadi sistem cerdas yang mampu memprediksi perilaku entitas finansial secara real-time. Hasil kajian menunjukkan bahwa DT mendukung kerangka Prevention, Preparedness, Response, Recovery (PPRR), memperkuat resiliensi rantai pasok, serta meningkatkan efektivitas stress testing perbankan sesuai regulasi Basel III. Selain itu, DT berperan dalam deteksi penipuan, akuntansi karbon, dan simulasi kebijakan makroekonomi. Studi ini menegaskan bahwa DT mampu meningkatkan akurasi prediksi risiko hingga 95% dan mengurangi downtime operasional sebesar 20%. Namun, keterbatasan standar global, integrasi data lintas sistem, serta hambatan regulasi masih menjadi tantangan utama. Agenda riset masa depan diarahkan pada pengembangan interoperabilitas global, integrasi teknologi AI, serta evaluasi ROI jangka panjang untuk memperkuat ketahanan finansial berbasis DT.

Perubahan pola hidup masyarakat modern yang diiringi tingginya beban kerja dan mobilitas, telah meningkatkan risiko stres serta kelelahan fisik dan mental, terutama di kawasan perkotaan yang padat seperti Surabaya. Hal ini mendasari kebutuhan akan fasilitas yang tidak hanya berfokus pada perawatan fisik, namun juga mendukung pemulihan secara menyeluruh. Perancangan Wellness and Beauty Center dengan menerapkan Biophilic Architecture dapat menghadirkan ruang penyembuhan yang terintegrasi dengan alam. Proses perancangan meliputi tahapan identifikasi, studi banding, analisis, dan sintesis, guna menghadilkan konsep makro Healing Trough Nature sebagai strategi utama. Konsep ini dikembangkan menajdi konsep mikro yang mencakup desain ruang interaksi dengan alam, bentuk bangunan organik, dan tatanan lahan yang menyatu dengan lansekap di sekitarnya. Rancangan yang dihasilkan meliputi fasilitas spa, perawatan kecantikan, yoga, meditasi, pusat kebugaran, dan area relaksasi yang terhubung secara efektif. Bangunan dirancang adaptif terhadap karakter tapak dengan komposisi massa lengkung yang selaras terhadap orientasi visual dan fungsi ruang, sehingga mampu emnciptakan harmoni serta atmosfer yang dapat menennagkan bagi pengunjung.

Penelitian ini mengevaluasi performa tiga algoritma deteksi komunitas Louvain, Infomap, dan Walktrap dalam konteks social network analysis pada jaringan undang-undang Republik Indonesia periode 2014–2024. Jaringan dibangun dari hubungan kutipan antar undang-undang Republik Indonesia pada rentang waktu antara tahun 2014 sampai dengan tahun 2024. Kutipan antar undang-undang diperoleh pada bagian “Mengingat” pada setiap undang-undang, menghasilkan sebuah konstruksi struktur graf berarah dan tak berbobot. Setiap algoritma diuji berdasarkan empat metrik evaluasi: modularity, coverage, conductance, dan inter-cluster density. Evaluasi terhadap tiga algoritma deteksi komunitas Infomap, Louvain, dan Walktrap pada jaringan undang-undang menunjukkan perbedaan karakteristik dalam membentuk struktur komunitas. Louvain unggul dalam hal modularity (0.522387) dan conductance (0.287157), yang mencerminkan kemampuan optimal dalam memisahkan komunitas besar yang kohesif dan minim koneksi keluar. Infomap menempati posisi menengah dengan modularity dan inter-cluster density yang cukup baik, menawarkan keseimbangan antara segmentasi dan kepadatan komunitas. Walktrap memiliki keunggulan pada coverage (0.809586) dan inter-cluster density (0.50640), menandakan kemampuannya membentuk komunitas kecil yang sangat padat secara internal, meskipun cenderung kurang terstruktur secara global karena modularity-nya paling rendah (0.464787). Dengan demikian, Louvain direkomendasikan sebagai algoritma paling sesuai untuk analisis jaringan undang-undang, terutama jika tujuan utama adalah memperoleh segmentasi komunitas yang terstruktur kuat dan representatif secara makro terhadap arsitektur hukum nasional.

Penelitian ini dilakukan untuk menganalisis dan membandingkan sentimen pelanggan terhadap lima restoran Sunda di Kota Bogor menggunakan metode Aspect-Based Sentiment Analysis (ABSA) berbasis Fine-Tuning IndoBERT. Ulasan pelanggan di platform digital seperti Google Review berpengaruh besar terhadap citra dan keputusan konsumen, sementara jumlah ulasan yang besar sulit dijelaskan secara manual. Data penelitian diperoleh dari 3.232 ulasan Google Review dan diproses menjadi 3.010 data yang dikelompokkan berdasarkan lima aspek utama, yaitu makanan, pelayanan, harga, suasana, dan fasilitas. Metode Fine-Tuning IndoBERT digunakan untuk mengklasifikasikan sentimen positif, netral, dan negatif, dengan evaluasi melalui metrik akurasi, presisi, recall, dan F1-score. Hasil menunjukkan bahwa model memiliki performa sangat baik dengan akurasi tertinggi sebesar 97,51% pada aspek pelayanan dan terendah 92,52% pada aspek makanan, serta nilai F1-score makro di atas 0,91. Analisis menunjukkan bahwa Bumi Aki unggul pada aspek makanan dan fasilitas, Saung Abah pada pelayanan, Saung Kuring pada harga, dan Gumati pada suasana. Hasil penelitian ini menunjukkan bahwa Fine-Tuning IndoBERT efektif dalam memahami opini pelanggan berbahasa Indonesia dan dapat menjadi acuan bagi pelaku usaha kuliner dalam meningkatkan kualitas layanan.