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Penelitian ini bertujuan untuk merancang dan membangun perangkat yang mampu membaca, mengukur, serta mengirimkan data mengenai tegangan, arus, daya, frekuensi, dan energi secara real-time melalui aplikasi Blynk Internet of Things. Perangkat ini memungkinkan data ditampilkan pada smartphone dan layar komputer dari lokasi mana pun, dan direncanakan untuk digunakan di gardu distribusi milik PT PLN (Persero) ULP Darmo Permai. Alat ini berguna sebagai langkah tindakan korektif ketika terjadi ketidakseimbangan beban, mempermudah pengawasan dalam proses penyeimbangan, serta sebagai acuan untuk pemindahan fasa saat diperlukan. Selain itu, alat ini juga berfungsi sebagai langkah preventif untuk menjaga keseimbangan beban gardu dan sebagai referensi jika ada penambahan pelanggan baru. Metode penelitian ini melibatkan penggunaan mikrokontroler ESP32 sebagai Modbus master untuk mengatur sistem. Mikrokontroler ini menerima data digital melalui RS485 dari Power Meter Toky DS9L/7L yang mengukur tegangan dan arus dari PHB-TR. Data tersebut kemudian dikirimkan ke Cloud Blynk Internet of Things melalui nodemcu ESP32 dengan bantuan modem Wi-Fi router. Data yang diproses meliputi tegangan fasa netral RN, SN, TN (220-230 Volt), tegangan fasa-fasa RS, ST, RT (380-400 Volt), arus maksimal 400 Ampere sesuai spesifikasi sensor arus CT 400/5 A, energi (kWh), daya (Watt) untuk fasa R, S, T, daya total, serta frekuensi 50 Hz. Semua informasi ini ditampilkan pada antarmuka pengguna (UI) di smartphone dan PC.

This study examines the influence of modernization of the administrative system, motivation, and trust in the government on compliance in paying land and building tax (PBB-P2) in Nogosari District. The population in this study were land and building taxpayers. A sample of 100 respondents was taken using the Slovin formula. This study uses a quantitative approach with primary data collected through a questionnaire. Modernization of the administrative system (X1), motivation (X2), trust in the government (X3) and compliance in paying taxes (Y) are the variables used. In this study, the data were used for descriptive analysis, validity tests, reliability tests, and classical assumption tests. In addition, to test the hypothesis, multiple regression analysis was used for the f test, t test, and coefficient of determination (R2). All of this was done using the SPSS version 25 program. The results of the study, namely modernization of the administrative system (X1), motivation (X2), and trust in the government (X3), had a positive and significant impact on compliance in paying taxes (Y).

The area and distance between buildings at POLINELA Campus make the presence of adequate connector roads an important necessity to support the mobility of the academic community. This study aims to optimize the scheduling of flexible pavement construction for the POLINELA Connector Road using the Critical Path Method (CPM) based on Microsoft Project 2021. The research method used is descriptive quantitative by processing the Budget Plan (RAB) data into a project schedule consisting of 11 main activities. CPM analysis is used to determine the sequence of work, dependencies between activities, the critical path, and project completion time. The results show that the total project duration is 23 calendar days (May 11–June 6, 2026). CPM analysis identified 10 activities on the critical path with zero float, while embankment work is a non-critical activity with time flexibility. Applying a Start-to-Start (SS) relationship with a 3-day lag between excavation and embankment work allows parallel implementation, reducing the project duration by 4 days (14.8%) compared to the conventional Finish-to-Start (FS) scenario. These results indicate that implementing CPM through Microsoft Project 2021 can increase execution time efficiency, simplify schedule control, and support decision-making in road construction project management.

Wastewater Treatment Plant (WWTP) pada kawasan industri konvensional umumnya masih mengandalkan strategi pemeliharaan berbasis interval waktu yang tetap. Pendekatan tersebut berisiko menyebabkan penurunan performa pompa yang tidak teridentifikasi secara dini serta meningkatkan potensi pemborosan energi operasional. Penelitian ini mengembangkan Green Maintenance Framework berbasis machine learning untuk meningkatkan reliabilitas pompa sirkulasi pada sistem Moving Bed Biofilm Reactor (MBBR). Analisis dilakukan menggunakan dataset telemetri multi-sensor yang mencakup parameter getaran, temperatur, tekanan, debit aliran, dan rotasi per menit (RPM). Proses rekayasa fitur diterapkan melalui pembentukan System Efficiency Index untuk meningkatkan sensitivitas model terhadap indikator degradasi kinerja pompa. Model prediktif dibangun menggunakan algoritma Random Forest Classifier dengan skema pembagian data 80:20 secara stratified. Hasil pengujian menunjukkan bahwa model menghasilkan tingkat akurasi klasifikasi sebesar 100%, dengan variabel Vibration dan Temperature menjadi parameter yang paling dominan dalam proses prediksi. Analisis operasional memperlihatkan bahwa degradasi pompa menyebabkan penurunan flow rate meskipun nilai rotasi per menit (RPM) mengalami peningkatan, sehingga memicu kenaikan konsumsi energi dan meningkatkan risiko gangguan pada proses biologis Moving Bed Biofilm Reactor (MBBR). Dari aspek ekonomi, kondisi tersebut menyebabkan pemborosan energi sebesar 5.623 kWh atau setara Rp6.271.236, - per bulan untuk setiap unit pompa. Penelitian ini berkontribusi pada pengembangan sistem predictive maintenance berbasis kecerdasan buatan untuk mendukung efisiensi energi serta implementasi green manufacturing di kawasan industri.

This study aims to examine the effect of Work-Life Balance and Organizational Commitment on Turnover Intention with Job Stress as a mediating variable among working Master of Management students. This study applies the Job Demands-Resources Model and Social Exchange Theory to explain the relationships among variables. A quantitative approach with a causal research design was employed. The population consisted of 95 working Master of Management students enrolled in 2025, and 50 respondents were selected using purposive sampling. Data were collected through an online questionnaire using a five-point Likert scale and analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS). The results show that Work-Life Balance and Organizational Commitment have significant negative effects on Job Stress, while Job Stress has a significant positive effect on Turnover Intention. However, Work-Life Balance and Organizational Commitment do not directly affect Turnover Intention. Furthermore, Job Stress significantly mediates the effects of Work-Life Balance and Organizational Commitment on Turnover Intention. These findings indicate that reducing job stress is an important mechanism for lowering Turnover Intention among working students. The study contributes to the application of the Job Demands-Resources Model and Social Exchange Theory in the context of working graduate students.

This study examines the impact of transformational leadership on citizen satisfaction with public service delivery in Indonesian local government context through a cross-sectional survey of 384 citizens in Tanah Datar Regency, West Sumatra, selected via stratified random sampling. Data were collected using validated instruments measuring transformational leadership (MLQ) and citizen satisfaction (adapted SERVQUAL), then analyzed using Structural Equation Modeling (SEM). Findings reveal that transformational leadership significantly predicts citizen satisfaction with public service delivery (β = 0.672, p < 0.001), with inspirational motivation (β = 0.284, p < 0.001) and individual consideration (β = 0.267, p < 0.001) showing the strongest effects. The model explains 45.2% of variance in citizen satisfaction, with service responsiveness and reliability emerging as key mediating factors. Results demonstrate that transformational leadership practices significantly enhance citizen satisfaction with public service delivery in local government settings, where leaders demonstrating inspirational motivation and individual consideration achieve higher citizen satisfaction levels. Practical implications suggest that local governments should prioritize transformational leadership training for public officials, emphasizing inspirational communication and personalized attention to citizen needs to improve public service delivery effectiveness, thereby contributing to the growing literature on public leadership effectiveness in developing country contexts.

Diabetes mellitus is a chronic metabolic disease characterized by elevated blood glucose levels due to impaired insulin secretion, insulin action, or both. Uncontrolled diabetes can lead to various complications and decreased quality of life. Moringa oleifera leaves contain bioactive compounds, including flavonoids, vitamins A, C, and E, as well as selenium, which possess antioxidant properties and are believed to help reduce blood glucose levels. This study aims to determine the effect of Moringa leaf decoction on reducing blood glucose levels in patients with diabetes mellitus in Padaleu Village, Kambu District, Kendari City. The study employs a quantitative pre-experimental design using a one-group pretest-posttest approach. The population consists of 35 diabetes mellitus patients, with 17 respondents selected through purposive sampling. Blood glucose levels are measured before and after the administration of Moringa leaf decoction using a glucometer and observation sheets. Respondents receive 200 ml of Moringa leaf decoction daily for five consecutive days. Data analysis is conducted using paired statistical tests to determine differences in blood glucose levels before and after the intervention. The findings of this study are expected to provide scientific evidence regarding the effectiveness of Moringa leaf decoction as a non-pharmacological therapy for controlling blood glucose levels among diabetes mellitus patients. Furthermore, the results may contribute to nursing science development and serve as a reference for healthcare providers and future researchers in implementing complementary therapies for diabetes management.

Kegiatan pertambangan memiliki resiko merubah fungsi lahan. Penelitian ini bertujuan melakukan perbandingan terhadap penggunaan citra Google Satellite Imagery dan ESRI World Imagery dalam interpretasi sebaran lahan tambang. Interpretasi menggunakan pendekatan spasial yang diolah menggunakan ArcGIS 10.8. Hasil menunjukkan bahwa terdapat perbedaan luasan tambang yang teridentifikasi berdasarkan sumber citra satelit yang digunakan. Google Satellite Imagery mampu mendeteksi luasan pertambangan yang lebih besar, yaitu 12.022,02 Ha, dibandingkan ESRI World Imagery yang menghasilkan 11.485,41 Ha, sedangkan data acuan dari KLHK tahun 2023 mencatat luas tambang sebesar 10.798,46 Ha. Perbedaan ini dipengaruhi oleh resolusi spasial, kejelasan tekstur permukaan, serta pembaruan data pada masing-masing citra. Persentase perubahan luas lahan pertambangan yang dihitung dari perbandingan Google Satellite Imagery dengan data KLHK mencapai 11,33%, sementara perbandingan dengan ESRI World Imagery hanya sebesar 6,37%. Hasil ini menunjukan Google Satellite Imagery lebih sensitif dalam mengidentifikasi ekspansi tambang, meskipun berpotensi menghasilkan overestimation, sedangkan ESRI World Imagery cenderung lebih konservatif dalam estimasi luas. Untuk memastikan konsistensi dan akurasi pemantauan perubahan lahan tambang, diperlukan pemilihan sumber citra yang tepat, penggunaan metode interpretasi yang konsisten, serta validasi silang dengan data resmi maupun observasi lapangan.

Perkembangan teknologi informasi saat ini mendorong organisasi, termasuk Usaha Mikro, Kecil, dan Menengah (UMKM), untuk meningkatkan efisiensi operasional melalui penerapan sistem yang terintegrasi. Penelitian ini bertujuan untuk merancang Enterprise Architecture (EA) pada UMKM Golden Spice menggunakan pendekatan The Open Group Architecture Framework (TOGAF) melalui metode Architecture Development Method (ADM). Permasalahan utama yang dihadapi adalah sistem penjualan dan manajemen stok yang masih dilakukan secara manual dan tidak terintegrasi, sehingga menyebabkan inefisiensi operasional, ketidaksesuaian data, serta keterbatasan dalam pengambilan keputusan. Metode penelitian yang digunakan meliputi observasi, wawancara, dan studi literatur dengan referensi terbaru pada rentang tahun 2021-2026. Hasil penelitian menunjukkan bahwa perancangan Arsitektur Perusahaan yang diusulkan mampu mengintegrasikan sistem penjualan dan manajemen stok secara terstruktur, sehingga meningkatkan efisiensi operasional dan akurasi data. Selain itu, sistem yang diusulkan juga mampu menyediakan informasi secara real-time untuk mendukung pengambilan keputusan berbasis data. Penelitian ini diharapkan dapat menjadi solusi praktis bagi UMKM dalam mendukung transformasi digital serta menjadi referensi bagi penelitian selanjutnya.

Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that may persist into adulthood and affect academic, social, and occupational functioning. In adult patients, ADHD is frequently associated with an increased risk of Substance Use Disorder (SUD), raising concerns regarding the potential for misuse and dependence related to stimulant medications used in ADHD therapy. This study aimed to evaluate the effectiveness of pharmacotherapy for adult ADHD and to review the risk of stimulant misuse and dependence based on current scientific evidence. The method employed in this study was a literature review using data obtained from national and international journals indexed in Scopus, PubMed, and Google Scholar published between 2017 and 2026. The findings indicated that stimulant medications, such as methylphenidate and amphetamine, were effective in reducing the core symptoms of ADHD by increasing dopamine and norepinephrine activity in the central nervous system. Most studies reported that the use of stimulant medications at therapeutic doses and under medical supervision was not significantly associated with an increased risk of substance misuse or dependence. The risk of misuse was more commonly observed in cases involving non-medical use and inadequate clinical monitoring. In addition to pharmacological therapy, non-pharmacological approaches such as cognitive behavioral therapy (CBT) also contributed to improving treatment outcomes and patients’ quality of life. Therefore, the use of stimulant medications in adult ADHD patients may be considered relatively safe and effective when administered rationally, individually, and under appropriate medical supervision.

Type 2 diabetes mellitus is a chronic metabolic disease characterized by hyperglycemia due to impaired insulin secretion, insulin resistance, or a combination of both. HbA1c levels are used as an indicator of long-term glycemic control in patients with type 2 diabetes mellitus. Insulin therapy is one of the treatment options given to help achieve glycemic control targets. The purpose of this study was to determine the difference in HbA1c levels of type 2 diabetes mellitus patients with insulin and non-insulin therapy at PKU Muhammadiyah Gamping Hospital. This research method used a descriptive study with a cross-sectional approach. The subjects in this study were 80 type 2 diabetes mellitus patients who had used insulin and non-insulin therapy for less than 1 year, using Purposive Sampling techniques and data analysis using SPSS with Chi-Square and Mann-Whitney tests. This study has obtained ethical approval from PKU Muhammadiyah Gamping Hospital. This study shows that the characteristics of gender and age of type 2 DM patients with insulin and non-insulin therapy are dominated by women at 60.0% and 43.3%, while elderly patients at 60.0% and 53.3%. Of the 50 patients using insulin, 45 patients (90.0%) had controlled HbA1c and 5 patients (10.0%) were uncontrolled. Meanwhile, all non-insulin patients, 30 patients (100%), had uncontrolled HbA1c. Based on this study, there is a significant difference in HbA1c levels between type 2 diabetes mellitus patients with insulin and non-insulin therapy with a p-value <0.001. Patients using insulin therapy tend to have better glycemic control than patients not using insulin therapy.

Tujuan – Penelitian ini bertujuan untuk menganalisis pengaruh beban kerja dan kompensasi terhadap motivasi kerja pegawai, baik secara parsial maupun simultan pada Dinas Pemadam Kebakaran dan Penyelamatan Kota Makassar. Metode – Penelitian ini menggunakan pendekatan kuantitatif dengan desain asosiatif kausal. Populasi penelitian berjumlah 198 pegawai, dengan sampel sebanyak 70 responden yang ditentukan menggunakan teknik purposive sampling. Data dikumpulkan melalui kuesioner dan dianalisis menggunakan program SPSS dengan teknik analisis regresi linear berganda, serta melalui uji instrumen, uji asumsi klasik, dan uji hipotesis. Hasil/Temuan – Hasil penelitian menunjukkan bahwa beban kerja berpengaruh positif dan signifikan terhadap motivasi kerja pegawai, demikian pula kompensasi berpengaruh positif dan signifikan terhadap motivasi kerja. Secara simultan, beban kerja dan kompensasi terbukti memberikan pengaruh signifikan terhadap motivasi kerja pegawai. Temuan ini mengindikasikan bahwa pengelolaan beban kerja yang seimbang serta pemberian kompensasi yang adil dan layak menjadi faktor penting dalam meningkatkan motivasi kerja pegawai.

Penelitian ini bertujuan untuk menganalisis pengaruh struktur modal terhadap nilai perusahaan, menganalisis pengaruh profitabilitas terhadap nilai perusahaan, serta menganalisis pengaruh likuiditas terhadap nilai perusahaan pada perusahaan manufaktur sektor makanan dan minuman yang terdaftar di Bursa Efek Indonesia periode 2022–2024. Jenis penelitian yang digunakan adalah penelitian kuantitatif dengan pendekatan asosiatif. Populasi penelitian mencakup seluruh iverusahaan manufaktur sektor makanan dan minuman yang terdaftar di Bursa Efek Indonesia periode 2022–2024 yang berjumlah 83 perusahaan. Sampel penelitian sebanyak 48 perusahaan yang dipilih melalui iverusa purposive sampling berdasarkan kriteria iv erusahaan yang terdaftar secara berturut-turut selama periode penelitian, mempublikasikan laporan keuangan secara lengkap, tidak mengalami kerugian selama periode penelitian, serta memiliki data yang sesuai dengan variabel penelitian. Jenis data yang digunakan adalah data sekunder yang bersumber dari laporan keuangan tahunan perusahaan yang dipublikasikan melalui situs resmi Bursa Efek Indonesia. Teknik pengumpulan data dilakukan melalui metode dokumentasi dengan mengakses dan mencatat data keuangan yang relevan. Analisis data menggunakan analisis regresi data panel dengan bantuan aplikasi Eviews melalui uji pemilihan model yang meliputi uji Chow, uji Hausman, dan uji Lagrange Multiplier untuk menentukan model yang paling sesuai. Hasil penelitian menunjukkan bahwa struktur modal yang diproksikan dengan Debt to Equity Ratio (DER) berpengaruh terhadap nilai perusahaan, yang menunjukkan bahwa komposisi penggunaan utang dan ekuitas dalam pendanaan perusahaan dapat memengaruhi persepsi investor terhadap kinerja dan prospek perusahaan. Profitabilitas yang diproksikan dengan Net Profit Margin (NPM) juga berpengaruh terhadap nilai perusahaan, yang mengindikasikan bahwa semakin tinggi kemampuan iverusahaan dalam menghasilkan laba maka semakin tinggi pula nilai perusahaan karena meningkatnya kepercayaan investor terhadap kinerja perusahaan. Sementara itu, likuiditas yang diproksikan dengan Current Ratio (CR) tidak berpengaruh signifikan terhadap nilai perusahaan, yang menunjukkan bahwa kemampuan perusahaan dalam memenuhi kewajiban jangka pendek belum tentu menjadi pertimbangan utama bagi investor dalam menilai perusahaan pada sektor makanan dan minuman.

Penelitian ini bertujuan untuk mengetahui dan menganalisis pengaruh disiplin kerja dan lingkungan kerja terhadap kepuasan kerja pegawai pada Kantor Dinas Kependudukan dan Pencatatan Sipil Kabupaten Enrekang. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei. Populasi dalam penelitian ini adalah seluruh pegawai Kantor Dinas Kependudukan dan Pencatatan Sipil Kabupaten Enrekang yang berjumlah 68 orang. Teknik pengambilan sampel menggunakan teknik sampel jenuh, sehingga seluruh populasi dijadikan sebagai sampel penelitian. Pengumpulan data dilakukan melalui observasi, wawancara, kuesioner, dan dokumentasi. Teknik analisis data yang digunakan meliputi uji validitas, uji reliabilitas, uji asumsi klasik, analisis regresi linear berganda, uji t, uji F, serta koefisien determinasi dengan bantuan program SPSS. Hasil penelitian menunjukkan bahwa disiplin kerja berpengaruh positif dan signifikan terhadap kepuasan kerja pegawai. Lingkungan kerja juga berpengaruh positif dan signifikan terhadap kepuasan kerja pegawai. Selain itu, disiplin kerja dan lingkungan kerja secara simultan berpengaruh positif dan signifikan terhadap kepuasan kerja pegawai pada Kantor Dinas Kependudukan dan Pencatatan Sipil Kabupaten Enrekang. Kondisi kerja yang tertib, nyaman, aman, serta didukung hubungan kerja yang harmonis mampu meningkatkan motivasi, loyalitas, dan rasa puas pegawai dalam melaksanakan tugas pelayanan publik.

Gangguan menstruasi teridentifikasi sebagai salah satu permasalahan kesehatan utama yang dihadapi oleh populasi remaja di Indonesia. Pada skala global, Organisasi Kesehatan Dunia (WHO) mencatat bahwa 75% remaja putri mengalami gangguan menstruasi, dengan sekitar 80% di antaranya mengalami ketidakteraturan siklus haid pada tahun pertama pasca menarche. Untuk mengetahui hubungan status gizi dengan siklus mentruasi pada mahasiswi STIKES Widyagama Husada Malang. Penelitian ini menggunakan metode kuantitatif dengan desain analitik korelasional melalui pendekatan cross sectional .Jumlah sampel ditentukan menggunakan rumus Rule of Thumb menurut Suharsimi Arikunto dengan pengambilan 15% dari populasi sehingga diperoleh sebanyak 41 responden. Analisis data dilakukan menggunakan uji Chi-Square (?²) dengan tingkat kepercayaan 95% (? = 0,05).  Hasil uji Chi-Square diperoleh nilai Chi-Square dengan nilai signifikansi (p-value) = 0,001 < 0,05, sehingga dapat disimpulkan bahwa H0 ditolak dan H1 diterima. Artinya, terdapat hubungan yang signifikan antara status gizi dengan siklus menstruasi pada mahasiswi STIKES Widyagama Husada Malang. Hasil penelitian menunjukkan bahwa mahasiswi dengan status gizi tidak normal, baik gizi kurang maupun gizi lebih, cenderung mengalami siklus menstruasi yang tidak teratur dibandingkan dengan mahasiswi yang memiliki status gizi normal. Sebagian besar mahasiswi STIKES Widyagama Husada Malang memiliki status gizi normal, namun masih ditemukan mahasiswi dengan status gizi kurang dan lebih yang cenderung mengalami gangguan siklus menstruasi, terutama oligomenore

This study aims to examine the role of teachers in developing emotional intelligence among adolescent students at SMP Kesatrian Surakarta. Emotional intelligence is an essential aspect that supports academic achievement, social relationships, and character development. This research employed a qualitative approach using a case study method. Data were collected through in-depth interviews with 15 teachers teaching grades VII to IX, participant observations in classroom settings, and analysis of relevant school documents. The findings reveal that teachers play a strategic role in fostering students’ emotional intelligence through three primary approaches: emotional modeling by demonstrating appropriate emotional management (45%), facilitating emotion-based learning activities (30%), and evaluating students’ emotional intelligence development (25%). These roles significantly contribute to improving students’ self-awareness, self-regulation, empathy, and social skills. Supporting factors include emotional intelligence training programs provided by the local education authority and the school’s commitment to creating a supportive learning environment. However, major challenges consist of high administrative workloads among teachers (70%) and limited counseling facilities (50%). This study recommends continuous teacher training, the integration of emotional intelligence modules into lesson plans, and collaboration with school psychologists to ensure long-term monitoring and development of students’ emotional competencies. The findings contribute to the enrichment of emotional intelligence literature within the context of Indonesian secondary education.

The following study aims to analyze the influence of buzzer marketing, influencer marketing, and brand trust on purchase intention of Wardah products on TikTok Shop. The background of the study is based on the increasing use of TikTok Shop as a social commerce platform and the importance of digital marketing strategies in influencing consumer purchasing intention, especially in the cosmetics industry that demands brand trust. The research method uses a quantitative approach with a questionnaire distributed to 100 respondents. Data were analyzed through validity and reliability tests, classical assumption tests, and multiple linear regression. The results indicate that all instruments are valid and reliable and the model meets classical assumptions. Partially, buzzer marketing, influencer marketing, and brand trust have a significant effect on purchase intention, with coefficients of 0.494, 0.362, and 0.264, respectively. Simultaneously, all three variables also have a significant effect. The coefficient of determination value of 0.535 indicates that the variation in purchase intention is explained by these three variables.

Aerobic capacity, commonly measured by maximal oxygen uptake (VO₂max), is a key indicator of physical fitness and athletic performance, particularly in endurance sports. Recent attention has focused on the role of respiratory muscle function in supporting exercise performance, as respiratory muscle fatigue during high-intensity or prolonged activity may reduce ventilatory efficiency and exercise tolerance. This literature review aims to examine current evidence regarding the effects of Respiratory Muscle Training (RMT), including Inspiratory Muscle Training (IMT), on aerobic capacity in athletes. Relevant studies were identified through electronic databases such as PubMed, Scopus, and Google Scholar using keywords related to respiratory muscle training, VO₂max, and athletes. The reviewed studies generally reported improvements in inspiratory muscle strength, reduced respiratory muscle fatigue, and enhanced ventilatory efficiency following RMT interventions. These physiological adaptations may contribute to better exercise tolerance and overall athletic performance. However, evidence regarding direct improvements in VO₂max remains inconsistent across studies. The findings suggest that RMT can be used as a complementary strategy alongside conventional training programs to support aerobic performance. In addition, improved respiratory muscle function may provide benefits in health promotion and rehabilitation by reducing dyspnea and increasing exercise tolerance. Further well-designed studies are needed to clarify the extent of RMT’s contribution to improving VO₂max in athletic populations.

One key measure of a region's economic growth is the employment rate, as it reflects the ability of the economy to absorb labor and improve community welfare. In Jambi Province, employment opportunities are influenced by several factors, including Gross Regional Domestic Product (GRDP), population growth, and the Human Development Index (HDI). This study aims to analyze the effects of GRDP, population growth, and HDI on employment growth rates across regencies and cities in Jambi Province. The research employs a quantitative approach using panel data regression analysis covering 11 regencies and cities during the period 2017–2023. The findings indicate that GRDP growth, population growth, and HDI simultaneously influence employment levels. Partially, population growth and HDI have significant effects on employment, indicating that improvements in human development and demographic dynamics contribute to labor absorption. Meanwhile, economic growth, as measured by GRDP, has a relatively small negative effect on employment. This suggests that economic expansion does not always generate proportional employment opportunities, possibly due to structural changes and technological developments. Therefore, policies aimed at improving human capital and labor market conditions are essential to support sustainable employment growth in Jambi Province.

The quality of boiler feedwater is a crucial factor in maintaining the operational reliability of ship machinery systems against the risks of corrosion and scale formation. This research focuses on the design and development of a real-time monitoring system based on the Internet of Things (IoT) to automatically determine water quality. The hardware development utilizes a NodeMCU ESP32 microcontroller that integrates four main sensors: a pH sensor, a DS18B20 temperature sensor, a Total Dissolved Solids (TDS) sensor, and a turbidity sensor. The methodology applied is an experimental systems engineering model, encompassing circuit design, software programming, and the implementation of simple artificial intelligence. The automatic decision-making process in this tool is designed using zero-order Sugeno fuzzy logic with input parameters of turbidity, salinity, and acidity level (pH). The obtained data is transmitted wirelessly to a Firebase database and visualized through a 0.96-inch OLED display. Functional tests on seven fluid characteristics including pure water, hard water, and muddy water show that this prototype can accurately classify water quality into Good, Fair, and Poor categories. The main contribution of this design is the provision of a preventive, efficient, and applicable boiler maintenance solution for the modern shipping industry.