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Mie basah bebas gluten umumnya memiliki kandungan protein yang relatif rendah karena didominasi oleh bahan berpati, sehingga diperlukan upaya peningkatan nilai gizi tanpa menurunkan tingkat penerimaan konsumen. Penelitian ini bertujuan untuk mengetahui pengaruh penambahan tepung ikan teri medan (Stolephorus sp.) terhadap tingkat kesukaan mie basah bebas gluten serta mengetahui karakteristik kimia pada perlakuan terbaik. Penelitian menggunakan Rancangan Acak Lengkap (RAL) dengan empat taraf penambahan tepung ikan teri medan, yaitu P0 (0 g), P1 (5 g), P2 (10 g), dan P3 (15 g). Tingkat kesukaan dinilai oleh 40 panelis pada parameter warna, aroma, rasa, dan tekstur menggunakan uji hedonik. Data dianalisis menggunakan Analysis of Variance (ANOVA) dan dilanjutkan dengan uji Duncan. Perlakuan terbaik ditentukan menggunakan metode indeks efektivitas dan selanjutnya dianalisis secara proksimat. Hasil penelitian menunjukkan bahwa penambahan tepung ikan teri medan berpengaruh terhadap tingkat kesukaan mie basah bebas gluten. Perlakuan terbaik diperoleh pada P1 (5 g) berdasarkan nilai indeks efektivitas tertinggi. Hasil analisis kimia pada P1 menunjukkan kadar air 37,33%, kadar abu 1,71%, kadar lemak 3,34%, kadar protein 9,76%, dan kadar karbohidrat 47,86%. Kadar protein telah memenuhi persyaratan mutu mie basah berdasarkan SNI 2987:2015, meskipun kadar air masih melebihi standar. Penambahan tepung ikan teri medan berpotensi meningkatkan nilai gizi mie basah bebas gluten dengan tetap mempertahankan tingkat penerimaan konsumen.

Heat stress is a major constraint in broiler production systems located in humid tropical climates, where high ambient temperature and relative humidity impair growth performance, feed efficiency, and animal welfare. This systematic review synthesizes peer-reviewed studies published between January 2015 and December 2025 evaluating environmental housing designs and cooling strategies for mitigating heat stress in broiler chickens. This systematic review followed the PRISMA 2020 guidelines and synthesized peer-reviewed studies retrieved from Scopus, Web of Science, and ScienceDirect, published between January 2015 and December 2025. From 500 records initially identified, 26 studies fulfilled the predefined eligibility criteria and were included in the qualitative synthesis. The findings demonstrate that evaporative cooling systems, tunnel ventilation, and automated climate control technologies consistently reduced indoor temperature (2–6°C) and improved body weight gain, feed conversion ratio (FCR), and mortality rates under hot-humid conditions. However, cooling efficiency was strongly influenced by ambient humidity, necessitating integrated and adaptive environmental control approaches. Smart sensor-based systems further enhanced microclimate stability and thermal uniformity within broiler houses. Beyond performance improvements, optimized environmental management reduced physiological stress indicators, including heterophil-to-lymphocyte ratios and corticosterone levels. Overall, integrated, humidity-adaptive, and energy-efficient cooling strategies are essential to sustain productivity, welfare, and climate resilience in tropical broiler production systems.

concern for pet owners. Consequently, cat owners seek equipment that can support and simplify their daily pet care activities. However, the busy schedules of many cat owners often make it difficult for them to provide consistent care, raising concerns about the neglect of their pets. To address this issue, this study developed an automatic cat feeding system for a cat enclosure using an experimental research method. The proposed system utilizes a load cell sensor, a Real-Time Clock (RTC), a servo motor, and an ATmega16 microcontroller. The load cell sensor is employed to determine the appropriate food portion based on the cat's nutritional requirements, while the RTC controls the feeding schedule by dispensing food twice a day at predetermined times. The experimental results demonstrate that the system was successfully implemented, with the load cell measurement exhibiting an error rate of 10.71% relative to the predefined set point. Furthermore, the servo motor effectively controlled the valve mechanism, achieving a maximum opening angle of 85 degrees. Overall, the developed system performed reliably and met the expected operational objectives..

The rapid growth of Solar Power Plant (PLTS) installations in Indonesia faces efficiency challenges due to the continuously changing position of the sun. Fixed panel systems cannot absorb solar radiation optimally throughout the day. This study aims to evaluate and compare the efficiency of various solar tracking system methods developed over the last five years using a simple literature review approach. The research method was conducted by collecting, screening, and synthesizing secondary data from five reputable scientific journals using a synthesis matrix. The review results indicate that single-axis tracking systems increase power efficiency by 15% to 24.5%. Meanwhile, dual-axis systems achieve higher efficiency, ranging from 30% to 35%, by tracking both horizontal and vertical solar movements. In terms of control systems, astronomical algorithms are found to be more reliable in cloudy weather conditions than pure light sensors. However, the internal power consumption of the actuator motors remains a critical factor that can reduce the system's net energy gain. The implication of this study emphasizes the importance of shifting future research focus toward energy-saving algorithm optimization to maximize net power yield in dynamic solar panel implementations.

The emergence of Internet of Things (IoT) technology has opened up considerable possibilities for automation systems aimed at enhancing energy efficiency in both home and office settings. This study focuses on the creation and deployment of an IoT-driven Smart Home system utilizing ESP32 for the automatic and manual supervision and regulation of electrical appliances within the Employee Dormitory of the Institute for Lecturer Performance Development (LPKD). The established system employs a Passive Infrared (PIR) sensor for detecting human presence and a Light Dependent Resistor (LDR) sensor to assess the intensity of light in the room. The data from these sensors is analyzed by the ESP32 microcontroller, which controls lights and fans automatically through relay modules based on the surrounding conditions. Furthermore, the system is linked to the Blynk application and the Telegram Bot API to enable remote operation and immediate notifications. The methodological approach taken in this research is Research and Development (R&D) employing a prototyping method. The assessment outcomes show that the system functions reliably, with success rates for sensor detection and appliance management exceeding 95%. The introduction of this system aims to boost electrical energy efficiency, improve user experience, and facilitate the adoption of IoT-centered smart facility management within the LPKD framework.

Sosis merupakan produk olahan populer di berbagai kalangan masyarakat yang sebagian besar menggunakan bahan baku daging sapi dan ayam yang harganya relatif mahal, hal tersebut  mendorong perlunya diversifikasi menggunakan sumber protein lain, seperti ikan. Penelitian ini bertujuan untuk menganalisis pengaruh penambahan pure kedelai terhadap karakteristik fisikokimia dan sensori sosis ikan lumi-lumi (Harpodon nehereus). Metode penelitian menggunakan Rancangan Acak Lengkap (RAL) faktor tunggal dengan enam taraf perlakuan perbandingan ikan lumi-lumi dan pure kedelai, yaitu K0 (300g:0g), K1 (250g:50g), K2 (200g:100g), K3 (150g:150g), K4 (100g:200g), dan K5 (50g:250g). Parameter yang diuji meliputi kadar air, abu, lemak, protein, karbohidrat, tekstur (penetrometer), dan uji organoleptik (hedonik). Hasil penelitian menunjukkan bahwa penambahan pure kedelai berpengaruh nyata terhadap seluruh parameter. Seiring meningkatnya proporsi pure kedelai, kadar air menurun (72,60% hingga 66,66%), kadar lemak menurun (5,14% hingga 0,37%), dan kadar protein menurun (7,17% hingga 4,37%). Sebaliknya, kadar abu meningkat (1,27% hingga 1,86%), kadar karbohidrat meningkat (13,80% hingga 26,72%), dan nilai tekstur meningkat (17,39 N/s hingga 18,48 N/s) yang mengindikasikan sosis semakin kenyal. Berdasarkan uji sensori, perlakuan K3 (150g ikan : 150g kedelai) merupakan formulasi terbaik yang paling disukai panelis dengan skor tertinggi pada atribut warna (3,60), aroma (3,48), tekstur (3,44), rasa (3,28), dan penerimaan keseluruhan (3,62). Secara umum penambahan pure kedelai efektif meningkatkan karakteristik fisikokimia dan penerimaan sensori sosis ikan lumi-lumi.  

This study examines the effectiveness of integrating the demonstration method with audio-visual interactive multimedia to enhance Grade III elementary students' proficiency in sunnah rawatib prayers. A quasi-experimental design was employed with an experimental group (n=21) receiving demonstration-assisted multimedia instruction and a control group (n=22) undergoing conventional teaching. The primary instrument was a validated worship practice observation checklist (CVR=1; Cronbach's Alpha=0.873). Data analysis included the Shapiro-Wilk normality test, N-Gain calculation, and the Mann-Whitney U test. The experimental group achieved a posttest mean of 85.95 (100% mastery rate) compared to the control group's 74.32 (77.27% mastery). The experimental group's N-Gain score of 0.7146 (high category) substantially exceeded the control group's 0.4423 (moderate category). The Mann-Whitney U test yielded an Asymp. Sig. (2-tailed) value of < .001, confirming a statistically significant difference between both groups. These findings affirm that demonstration enriched by interactive multimedia scaffolding effectively constructs students' procedural knowledge of worship rituals and optimally engages multiple sensory modalities at the primary level.

This study aims to determine adolescents’ acceptance of mackerel turbin quiche, identify the best formulation of the product, and analyze its nutritional content. This study used an experimental method. The results showed that the mackerel turbin quiche product that was well accepted by adolescents was F1, which used 250g of mackerel, 125g of tofu, and 375g of red beans. The best formulation of mackerel turbin quiche used ingredients divided into three (3) parts: crust, filling, and custard. The quiche crust consisted of 500g wheat flour, 300g margarine, 135g powdered sugar, 15g powdered milk, and 2 egg yolks. The filling consisted of 250g mackerel, 375g red beans, 125g tofu, and 100g onion. The custard consisted of 1000 ml UHT milk, 10 egg yolks, 6g salt, 3g ground pepper, and 3g ground nutmeg. Each 45g serving of mackerel turbin quiche contained 194.34 Kcal of energy, 21.60g carbohydrates, 10.09g fat, and 5.69g protein. It can be concluded that mackerel turbin quiche can be used as a healthy snack alternative for adolescents.

Wilayah perbatasan Ambalat merupakan kawasan strategis NKRI yang rawan terhadap pelanggaran kedaulatan dan ancaman keamanan. Satuan Tugas (Satgas) Ambalat Korps Marinir menghadapi tantangan geografis dan keterbatasan teknologi pengawasan konvensional. Penelitian ini bertujuan menganalisis potensi pemanfaatan teknologi Unmanned Aerial Vehicle (UAV) untuk meningkatkan efektivitas pengamanan perbatasan oleh Satgas Ambalat. Penelitian menggunakan pendekatan deskriptif kualitatif. Teknik pengumpulan data meliputi observasi, wawancara mendalam dengan 4 narasumber (Komandan Skuadron Udara 700, pilot UAV, Dansatgas Ambalat, dan personel komunikasi Satgas Ambalat), serta dokumentasi. Analisis data menggunakan model Miles & Huberman. Penelitian menunjukkan bahwa (1) UAV belum dimanfaatkan secara langsung oleh Satgas Ambalat, pengamanan masih mengandalkan patroli konvensional dan drone non-militer; (2) tantangan utama meliputi keterbatasan personel terlatih, belum adanya program pelatihan formal, keterbatasan sarana prasarana (Ground Control Station, sistem komunikasi), serta kekosongan regulasi operasional; (3) UAV tipe ScanEagle dan Camcopter S-100 dinilai paling sesuai untuk kebutuhan Satgas Ambalat karena daya tahan terbang lama dan sensor canggih. Pemanfaatan UAV dapat memperluas jangkauan pengawasan, menyediakan data real-time, mengurangi risiko personel, serta meningkatkan efisiensi operasional. Diperlukan pendekatan terintegrasi berupa penyusunan regulasi, pengadaan sarana dan pelatihan personel bertingkat dan berlanjut. Teknologi UAV memiliki potensi strategis untuk memperkuat sistem pengamanan perbatasan Ambalat. Rekomendasi meliputi dukungan kebijakan pemerintah, pengembangan doktrin TNI AL, pembentukan unit UAV Korps Marinir, serta pelatihan personel secara berkelanjutan.

The rapid advancement of Internet of Things (IoT) technologies has transformed conventional residential environments into intelligent smart housing systems capable of enhancing energy efficiency, security, comfort, healthcare services, and environmental sustainability. However, existing studies remain fragmented, focusing on specific technologies or applications rather than providing a comprehensive understanding of the smart housing ecosystem. Therefore, this study aims to systematically review the major technologies employed in IoT-based smart housing systems, examine their contributions to residential benefits, and identify the challenges and future opportunities associated with their implementation. This research adopted a Systematic Literature Review (SLR) approach using the Scopus database as the primary source of literature. The review process followed a structured screening and selection procedure, resulting in the inclusion of 26 studies that met the predefined eligibility criteria. The findings indicate that Artificial Intelligence, Blockchain, Edge Computing, Fog Computing, Cloud Computing, Digital Twin, Smart Grid technologies, renewable energy systems, and advanced sensor infrastructures constitute the primary technological foundations of modern smart housing systems. The reviewed studies indicate that these technologies contribute to energy optimization, cybersecurity enhancement, intelligent automation, healthcare monitoring, safety improvement, and sustainable resource management. However, challenges related to security, privacy, interoperability, scalability, computational complexity, and implementation costs remain important barriers to widespread adoption. In conclusion, IoT-based smart housing systems have evolved into integrated and intelligent residential ecosystems, and future development is expected to be driven by the convergence of Artificial Intelligence, distributed computing, Digital Twin technologies, and sustainable smart infrastructure solutions.  

Urban plant care is increasingly important for sustainable living, but many users face inconsistent watering, insufficient care knowledge, unsuitable plant selection and delayed disease recognition. This study presents Easy Grow Plants, an integrated web and Internet of Things (IoT) ecosystem that connects plant care guidance, soil-moisture monitoring, automated watering, plant recommendation, image-based plant health assistance, marketplace functions, community interaction and plant exchange. The prototype was implemented using a React frontend, Django REST backend, SQLite database and an Arduino UNO R4 WiFi smart pot with a soil moisture sensor, relay module and DC water pump. Functional, interface, API, IoT connectivity, sensor calibration, watering control and LAN deployment tests were conducted. The results show that the core modules operated together as an integrated academic prototype. The system demonstrates a practical foundation for smart urban gardening, although cloud deployment, multi-device testing and stronger AI validation remain future improvements

Aromatherapy is the use of essential oils derived from natural materials to improve physical and psychological well-being. One of the most popular aromatherapy products is the aromatherapy candle, which provides relaxation while creating a comfortable atmosphere. This study aimed to develop aromatherapy candles based on agarwood (Aquilaria malaccensis) leaf extract, evaluate product quality, analyze public acceptance, and identify their potential as an entrepreneurial opportunity. This study employed an experimental method with a descriptive approach. The research stages included the extraction of agarwood leaves through a distillation process, the formulation of aromatherapy candles, product validation by three experts using sensory evaluation, and a public acceptance test involving 40 respondents using a Likert-scale questionnaire. The results showed that the third experiment produced the best extract characteristics, including a golden-yellow color, a stronger distinctive agarwood aroma, and an oily texture. The public acceptance test indicated that the average scores for color, texture, ease of use, and aroma were 3.16, 2.90, 3.42, and 3.02, respectively, which were categorized as good to very good. These findings demonstrate that agarwood leaf extract has the potential to be used as an alternative ingredient in the production of aromatherapy candles, in addition to receiving a high level of public acceptance, the product possesses economic value and can be developed as an innovative product and entrepreneurial opportunity in the beauty, spa, wellness, and creative industries.

The benefit of cardboard waste as a headpiece is to encourage the entrepreneurial spirit to continue to be creative in processing this inorganic waste into products at prices that are relatively cheap compared to prices on the market. Data collection uses the methods of Observation, Literature, Experimentation, Documentation, Interviews, Questionnaires. The author carried out the process of using cardboard waste to make headpieces through several stages, not only that, the author also carried out experiments 3 times using different dyes. In experiment 1 using gold pilok, experiment 2 used gold pilok then sprinkled with gold glitter, then experiment 3 used wall paint coloring sprinkled with gold glitter. The author conducted a sensory test regarding the public's acceptance of headpiece products made from cardboard waste. The highest average results were obtained in experiment 3 with a total average color of 2.87 which means quite appropriate, a total average texture of 2.63 which means quite suitable, a total average design of 1.77 which is less appropriate, while the total average ease of use is 2.67, which means it is quite appropriate. So the results obtained were that as many as 30 respondents preferred product 3 with quite appropriate criteria. From the results of the products made, the coloring still needs to be improved so that they are more perfect and the designs are developed to be more varied so that they can be used as a reference for further research.

The development of electric vehicle technology has encouraged the use of electric bicycles as an environmentally friendly and energy-efficient mode of transportation. One of the main components of an electric bicycle is the hub BLDC (Brushless Direct Current) motor, which is considered more efficient because it is directly integrated into the wheel without requiring a chain transmission system. However, the performance of the hub BLDC motor is affected by operating conditions, particularly variations in load and speed, which influence current consumption and overall electrical performance. This study aimed to analyze the effect of load and speed variations on the current consumption of a hub BLDC motor. A quantitative experimental method was employed by conducting direct tests on an electric bicycle using load variations of 50 kg, 60 kg, and 70 kg, as well as speed variations of 30 km/h, 35 km/h, and 40 km/h. Current measurements were carried out in real time using a PZEM 051 sensor, and the collected data were analyzed using average values obtained from repeated measurements. The results showed that increasing the load and speed led to higher current consumption of the hub BLDC motor, from 4.6 A to 5.0 A under load variation and from 4.5 A to 5.1 A under speed variation. These findings indicate that both load and speed significantly affect the electrical current required by the hub BLDC motor, demonstrating that greater operating demands result in higher energy consumption.

Modern retail competition increasingly depends on the ability of stores to create efficient, comfortable, and memorable shopping experiences for Generation Z consumers. This study aims to examine the effects of Store Layout and Store Atmosphere on Purchase Intention in modern retail stores in Malang City. A quantitative associative design was employed using survey data from 123 Generation Z respondents selected through purposive sampling. The data were analyzed using validity and reliability tests, classical assumption tests, and multiple linear regression with IBM SPSS Statistics 26. The results show that Store Layout has a positive and significant effect on Purchase Intention (t = 2.051; Sig. = 0.042), and Store Atmosphere also has a positive and significant effect (t = 2.460; Sig. = 0.015). Simultaneously, both variables significantly affect Purchase Intention (F = 10.570; Sig. < 0.001), although the adjusted coefficient of determination is modest (Adjusted R2 = 0.136). The findings imply that retailers should integrate functional layout design with sensory atmosphere management to strengthen Generation Z consumers’ intention to purchase.

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.

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.

Background: Schizophrenia is a serious chronic mental disorder that can affect thinking, perception, feelings, and behavior. Patients with undifferentiated schizophrenia are at risk of experiencing the nursing problem of risk of violent behavior (RPK) due to their inability to control emotions and anger. Based on data from the medical records of RSJD dr. Amino Gondohutomo, Central Java Province, from August to October 2025, the risk of violent behavior was the highest nursing diagnosis in the Gatotkaca Ward, reaching 56.5%–77% of all inpatients. Objective: To perform nursing care on Tn. K with the main problem of risk of violent behavior due to undifferentiated schizophrenia at RSJD dr. Amino Gondohutomo, Central Java Province. Methods: This study used a descriptive method with a nursing process approach. Data collection was carried out through interviews, observation, documentation studies, and literature review. Nursing care was provided from November 18 to 22, 2025. Results: Assessment findings on Tn. K (19 years old) with undifferentiated schizophrenia and a history of physical abuse, parental rejection, and family violence revealed four nursing problems: risk of violent behavior (core problem), sensory perceptual disorder: auditory and visual hallucinations, self-concept disorder: low self-esteem, and self-care deficit. Implementation was carried out through nursing strategies (SP) 1 to 4 for risk of violent behavior (physical, medication, verbal, and spiritual control), SP 1 and SP 3 for self-care deficit, and SP 1 to SP 2 for sensory perceptual disorder: hallucinations. All implementation stages were optimally achieved. Conclusion: Nursing evaluation showed that the client was able to achieve cognitive, affective, and psychomotor goals in all implemented SPs. Collaboration with ward nurses was carried out to continue SP 3 and SP 4 for hallucinations and the entire low self-esteem intervention due to time constraints.

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.

Background: Schizophrenia is a psychiatric disorder characterized by positive psychotic symptoms (such as hallucinations) and negative symptoms accompanied by cognitive decline. Auditory hallucinations represent the most common positive symptom, occurring in more than 75% of patients with schizophrenia. Objective: This study aimed to describe the comprehensive nursing care for Mr. F with a primary problem of perceptual sensory disorder: auditory hallucinations due to undifferentiated schizophrenia at Gatot Kaca Ward, RSJD dr. Amino Gondohutomo, Central Java Province. Method: This study used a descriptive method with a nursing process approach, including assessment, nursing diagnosis, intervention planning, implementation, and evaluation. Data collection was carried out through interview, observation, and literature study. Results: Nursing problems identified were: perceptual sensory disorder (auditory hallucinations) as the core problem, social isolation (withdrawal) as the causa, risk of violent behavior as the effect, and self-care deficit as an accompanying problem. Nursing interventions were conducted using the implementation strategy (SP) 1, 2, and 3 for hallucinations and SP 1 for self-care deficit. Conclusion: After 4 days of nursing implementation, 2 out of 4 nursing diagnoses were resolved: perceptual sensory disorder (auditory hallucinations) and self-care deficit, while social isolation (withdrawal) and risk of violent behavior remained unresolved. Patients with hallucinations are expected to be able to control hallucinations using the methods that have been taught.