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Local wisdom, particularly traditional snacks, constitutes an essential part of national cultural identity that needs to be introduced from an early age. However, observations at SDN 1 Tanggungharjo revealed that students' understanding of traditional snacks remains low, compounded by a lack of contextual and engaging visual learning media. This study aims to design an illustrated book titled "Belajar Jajanan Tradisional" (Learning Traditional Snacks) as a local wisdom-based educational medium for grades 3–6 students at SDN 1 Tanggungharjo. The Design Thinking method was employed through five stages: Empathize, Define, Ideate, Prototype, and Test. Data were collected through direct observation, teacher interviews, and student questionnaires. The outcome is a 20-page digital illustrated book in A5 PDF format covering four traditional snacks — klepon, dadar gulung, apem, and kue lapis — with content encompassing their origins, philosophy, cultural values, ingredients, and preparation processes. The applied design elements include character personification, vector cartoon style, bright color palettes based on the snacks' natural colors, rounded sans-serif typography, and a charactercentered layout tailored to the cognitive characteristics of students aged 9–12 years. Trial results demonstrated that the illustrated book effectively enhanced students' understanding of and interest in traditional snacks, while receiving positive feedback from teachers as a contextual and meaningful supplementary medium for thematic learning. 

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

This study examines the implementation of a Figma-based UI/UX training program aimed at improving digital design literacy among students at Qotrun Nada Islamic Boarding School, Jakarta. The program was developed to address the limited digital competencies and practical design skills commonly found among santri in traditional Islamic educational environments. Using a project-based learning and mentoring approach, participants were introduced to fundamental concepts of User Interface (UI), User Experience (UX), and collaborative digital design using Figma. The activities included workshops, practical design exercises, mentoring sessions, and prototype development projects. The findings demonstrated significant improvements in students’ digital literacy, communication skills, teamwork, creativity, and confidence in using technology. Students successfully produced simple website prototypes that reflected basic usability and visual design principles. Furthermore, the integration of digital literacy training within the pesantren environment showed that technological skill development can be harmonized with Islamic educational values and community empowerment initiatives

Online maps applications have become an essential tool for modern society in finding the fastest and most efficient routes. However, these applications often fail to detect current road conditions such as flooding, demonstrations, accidents, or public events, causing users to get stuck in problematic routes. This study aims to develop a prototype of a community-based road condition reporting system, visualized through a web-based digital map. The system allows users to directly report road conditions by providing photo evidence, descriptions, and event categories. It is also equipped with features for designing event routes such as carnivals and suggesting alternative paths based on community reports. The development process was carried out using a simulation-based approach with scenario testing that reflects real field conditions, without involving direct user data. The implementation results show that all core features work properly. The technologies used include Leaflet.js, OpenStreetMap, and the Nominatim geolocation API. This research produces an adaptive community-based GIS model that can be further developed as an intelligent navigation solution at the city scale

The physiological changes that occur during pregnancy, both physically and mentally, may be rather uncomfortable, particularly in the second and third trimesters. Pregnant women often report back discomfort, muscular aches, trouble sleeping, excessive exhaustion, and irregular sleep patterns. Mothers' physical and mental health as well as the health of their unborn children may be significantly impacted by inadequate sleep quality during pregnancy. To enhance comfort and the quality of sleep during pregnancy, one non-pharmacological technique is to use an aromatherapy maternity pillow. An ergonomic and ecologically sustainable invention to enhance mother comfort during pregnancy was the goal of this research, which intended to produce a Pregnancy Pillow Therapy product with pineapple leaf fiber and aromatherapy. A descriptive research design using a prototype creation technique was used in this study. The stages of the research included problem identification, literature review, product design, material selection, prototype manufacturing, and product evaluation. Data were collected through literature studies and observations related to sleep discomfort in pregnancy, maternity pillow utilization, aromatherapy therapy, and pineapple leaf fiber characteristics. The developed product was designed ergonomically to support the back, abdomen, waist, and legs of pregnant women. The addition of aromatherapy was intended to provide a relaxing effect and improve sleep quality. The use of pineapple leaf fiber also supports environmentally friendly product innovation through agricultural waste utilization. The results indicate that Pregnancy Pillow Therapy has the potential to become a supportive product for improving comfort and sleep quality among pregnant women. Further studies are recommended to evaluate product effectiveness directly among pregnant women.

Sekolah Menengah Kejuruan (SMK) dituntut menghasilkan lulusan yang siap kerja dan mampu beradaptasi dengan perkembangan industri. Namun, proses pembelajaran akuntansi di beberapa SMK di Kabupaten Karawang masih didominasi metode konvensional yang berpusat pada guru dan belum sepenuhnya menerapkan pembelajaran berbasis pemecahan masalah sesuai kebutuhan dunia kerja. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk memperkuat kompetensi guru akuntansi melalui pembelajaran berbasis Design Thinking. Metode pelaksanaan menggunakan pendekatan pelatihan partisipatif yang meliputi identifikasi kebutuhan, perencanaan program, pelaksanaan pelatihan, pendampingan, dan evaluasi kegiatan. Pelatihan memperkenalkan tahapan Design Thinking yang terdiri atas empathize, define, ideate, prototype, dan test. Teknik pengumpulan data dilakukan melalui observasi, wawancara, dokumentasi, pre-test dan post-test, serta penilaian terhadap perangkat pembelajaran yang dihasilkan peserta. Hasil kegiatan menunjukkan adanya peningkatan pemahaman dan keterampilan guru dalam menerapkan pembelajaran akuntansi yang inovatif. Peserta menunjukkan peningkatan pemahaman terhadap konsep Design Thinking, kemampuan menyusun perangkat pembelajaran kontekstual, serta motivasi untuk mengembangkan pembelajaran yang berpusat pada siswa. Hasil post-test menunjukkan rata-rata pemahaman guru mencapai 75,88 dan lebih dari 80% peserta mampu menjawab dengan benar tahapan Design Thinking. Kegiatan ini menyimpulkan bahwa Design Thinking dapat menjadi pendekatan pembelajaran yang efektif untuk meningkatkan kompetensi pedagogik guru serta mendukung pengembangan pembelajaran akuntansi yang kontekstual, kolaboratif, dan sesuai dengan kebutuhan industri.

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.

This study presents an innovation design for an Internet of Things (IoT)-based watering and liquid fertilizer control system for chili plants using a NodeMCU ESP32. The main problem addressed is the manual watering and fertilizing process, which makes it difficult for farmers to monitor soil moisture, temperature, air humidity, and light intensity in real time. The recommended method used in this draft is Research and Development (R&D) with a prototyping approach because the study focuses on designing, building, integrating, and testing an IoT device through iterative stages. The system is designed using a soil moisture sensor, DHT11, LDR sensor, two-channel relay, two 12 V DC pumps, 16x2 I2C LCD, and the Blynk Mobile application for remote monitoring and control. Sensor data are transmitted to Blynk as percentage values and plant condition statuses, while the water and fertilizer pumps can be controlled using virtual buttons. The control logic defines the optimal condition for chili plants based on soil moisture of 60-80%, temperature of 25-30°C, air humidity of 60-80%, and light intensity of 50-90%. Prototype documentation and functional testing data will be completed in the next stage.

This study discusses the design and testing of a growing media moisture and water level monitoring system based on ESP32-MQTT. The system was developed to support real-time monitoring of growing media conditions and water availability through a monitoring dashboard. This research used an experimental method with a design and implementation approach by developing an ESP32 circuit connected to a capacitive soil moisture sensor and a water level sensor, then sending sensor data to the dashboard through the MQTT protocol and Node-RED. Testing was carried out using a plant pot as the moisture testing medium and a water container as the water level testing medium. The results showed that the growing media moisture sensor displayed 0% in dry and very dry soil conditions, 61% in moist soil, and 89% in very moist soil. The water level sensor displayed 0 cm, 2.4 cm, and 4 cm according to the testing conditions. These results indicate that ESP32-MQTT can be used as an initial prototype for monitoring growing media moisture and water level before being applied to a complete hydroponic or aquaponic system.

Artificial intelligence has the potential to support radiology workflows by assisting in the identification of cases that may require additional clinical attention. However, alert-oriented medical AI systems should provide not only classification outputs but also interpretable evidence that can be reviewed and audited by clinicians. This study develops and evaluates an explainable multimodal framework for binary chest X-ray alert classification using paired radiology reports and chest X-ray images. The text branch employs TF-IDF n-gram features with a class-balanced Logistic Regression classifier, while the image branch fine-tunes a pretrained ResNet18 model. The two branches are integrated through probability-level late fusion using a validation-selected fusion weight. Explainability is implemented in a modality-specific manner: global coefficient analysis is used to identify influential textual cues, while Grad-CAM heatmaps are used to visualize salient image regions. Experiments were conducted on paired samples from the Open-i/IU X-Ray dataset using text-only, image-only, and fusion-based evaluation settings. Additional analyses include case-level complementarity analysis, bootstrap confidence intervals for ROC-AUC, shortcut-feature inspection, and qualitative Grad-CAM auditing. The results indicate that the text modality provides the dominant predictive signal under the current proxy-label setting. Late fusion produced a small descriptive improvement on the test set, increasing accuracy from 0.8533 to 0.8667, F1-score from 0.8817 to 0.8936, and ROC-AUC from 0.8936 to 0.9025 compared with the text-only baseline. However, the observed ROC-AUC improvement was not statistically conclusive based on bootstrap analysis. These findings suggest that the proposed framework is useful as a reproducible and auditable multimodal prototype, while also highlighting important limitations, including proxy-label ambiguity, potential label leakage from radiology reports, limited image-branch contribution, lack of external validation, and the need for stronger explanation and calibration assessment.

Breast tumors are classified into two types, namely benign and malignant tumors, the latter commonly referred to as breast cancer. Breast cancer is one of the major health problems affecting women worldwide, including in Indonesia. According to WHO data in 2022, there were 2.3 million breast cancer cases with 685,000 deaths globally, while in Indonesia, 396,914 cases and 234,511 deaths were reported. The high incidence rate is exacerbated by low public awareness in recognizing early symptoms and performing early detection, resulting in 60–70% of cases being diagnosed at an advanced stage, supported by findings that 65.6% of female students still have a low level of knowledge. Female students were selected as research subjects because they are in a vulnerable reproductive age group and have an important role in increasing awareness of early detection, yet they still have limited knowledge. Based on this, this study aims to design a web-based early detection system for breast tumor risk using the Forward Chaining method, which functions as a tool to identify early symptoms, assess risk levels, and provide information on prevention and initial management. This study employed the method with the Expert System Development Life Cycle (ESDLC) model, consisting of the stages of assessment, knowledge acquisition, design, testing, and documentation, along with the Forward Chaining inference method.

The implementation of smoking prohibition policies in Islamic boarding schools continues to depend largely on manual monitoring methods, which often face challenges related to consistency and supervision range. This study aims to design an Internet of Things (IoT)-based cigarette smoke detection system as an alternative monitoring approach that is more effective, measurable, and sustainable. The system design combines an MQ-2 gas sensor with a NodeMCU ESP8266 microcontroller programmed through the Arduino IDE platform. When smoke levels detected by the sensor exceed the predetermined limit, the system automatically triggers a buzzer and LED as warning indicators while simultaneously sending monitoring data to cloud-based platforms such as Firebase or ThingSpeak for real-time observation through web interfaces. The research outputs include a comprehensive system design consisting of system architecture, electronic circuit schematics, flowcharts, and pseudocode that are systematically arranged to support future prototype development and implementation. Through this design, the proposed system is expected to provide an initial technological solution that can enhance the effectiveness of monitoring and enforcing smoke-free regulations within Islamic boarding school environments.

Penelitian ini bertujuan merumuskan Model Tridarma Berbasis Panggilan Abraham sebagai paradigma transformasional bagi Perguruan Tinggi Teologi (PTT) di Indonesia. Latar belakang penelitian ini berangkat dari krisis identitas PTT yang sering terjebak dalam dikotomi antara tuntutan akademik dan panggilan gerejawi, sehingga Tridarma Perguruan Tinggi—pendidikan, penelitian, dan pengabdian masyarakat—kerap kehilangan orientasi teologis dan relevansi sosialnya. Penelitian menggunakan pendekatan kualitatif dengan kerangka “Hermeneutika Filosofis-Kontekstual” yang mengintegrasikan studi filosofis dan critical case study pada STT Suwarnadwipa sebagai living prototype. Data penelitian diperoleh melalui analisis teks Kejadian 12:1–3, dokumen institusional, serta literatur teologis dan filsafat pendidikan. Analisis dilakukan melalui “Siklus Interpretasi Tiga Lapis” yang mencakup lapis eksplanatori, komparatif, dan konstruktif. Hasil penelitian menunjukkan bahwa panggilan Abraham mengandung tiga DNA utama, yaitu divine initiative, costly obedience, dan instrumental blessing, yang dapat menjadi fondasi filosofis-teologis bagi transformasi Tridarma PTT. Berdasarkan sintesis tersebut, penelitian ini menghasilkan tiga pilar utama model, yakni pendidikan sebagai Abrahamic Discipleship, penelitian sebagai Pro Deo et Ethne Inquiry, dan pengabdian masyarakat sebagai Shalom-Based Engagement. Implementasi model pada STT Suwarnadwipa menunjukkan bahwa paradigma Abrahamik mampu mengintegrasikan kesetiaan teologis dengan relevansi kontekstual secara operasional. Penelitian ini berkontribusi secara teoretis melalui pengembangan kerangka “Teologi Dwipa Nusantara,” secara metodologis melalui pendekatan “Hermeneutika Filosofis-Kontekstual,” dan secara praktis melalui penyediaan model operasional yang dapat diadaptasi oleh PTT lain di Indonesia.

This research aims to design and develop a prototype wave power plant that utilizes the vertical motion of a buoy as a source of mechanical energy, which is then converted into electrical energy using a recoil starter mechanism. The system is designed to be installed at the stern of a prototype ship. The vertical movement of the buoy caused by ocean waves is transmitted to the recoil starter through a drive rope, producing a stable one-way rotational motion. This rotation is further transmitted to a gearbox to increase rotational speed before driving a DC generator. The electrical energy generated is stored in a 12 VDC battery, supported by a buck–booster converter to stabilize the output voltage. This study employs an experimental engineering approach to evaluate system performance based on empirical test data. The main components of the system include a buoy as a wave energy collector, a recoil starter as the initial rotating mechanism, a DC generator as the electrical energy producer, a buck–booster converter as a voltage regulator, a 12 VDC battery as an energy storage unit, and a monitoring system based on an ESP32 microcontroller integrated with a PZEM-017 sensor. Experimental results show that the recoil starter operates effectively in driving the generator under both no- load and buoy-loaded conditions. Increases in generator rotational speed are directly proportional to increases in output voltage and current. The PZEM-017 sensor demonstrates a high level of measurement accuracy, approaching 100% when compared with a multimeter. Overall, the proposed wave power generation system functions reliably and shows potential for further development as a small-scale alternative renewable energy source.

The increasingly complex global energy problem drives the need for efficient, low-cost, and environmentally friendly energy storage systems. This study aims to analyze the power performance of two symmetric supercapacitor prototypes using Nitrogen-doped Graphene-Like Carbon (N-GLC) as the electrode material and 1 M  as the electrolyte, with different electrode substrates: aluminum and copper. Both prototypes were tested through charging and discharging processes using resistive loads of 470 ohms and 560 ohms for 5 minutes. The analyzed parameters include voltage, current, power, and output energy. The results show that the aluminum electrode achieved a higher maximum charging power of up to 18 mW; however, its energy discharge efficiency was very low at only 0.87%. In contrast, the copper electrode demonstrated a more balanced charging and discharging performance with an energy discharge efficiency of 19.4%. Analysis also indicates that the copper substrate maintains better voltage stability after 6 hours of storage compared to aluminum, which experienced significant degradation. Thus, the copper electrode is superior in maintaining the power and stability of a simple N-GLC-based symmetric supercapacitor system.

The increasing demand for electrical energy and the limited availability of fossil fuels have driven the development of renewable energy sources, including marine current energy, which remains underutilized in coastal and remote maritime regions. This study presents the design and realization of a small-scale marine current power generation prototype using a horizontal axis propeller turbine with a NACA S814 blade profile and analyzes the effect of turbine rotational speed on electrical power output. The system converts marine current kinetic energy into mechanical energy through turbine rotation and subsequently into DC electrical energy using a generator, which is stabilized by a Buck–Boost Converter and Maximum Power Point Tracking (MPPT) for charging a 12 VDC battery. Real-time monitoring of electrical and mechanical parameters is implemented using an Internet of Things (IoT)–based system comprising an ESP32 microcontroller, a PZEM-017 sensor, and an RPM sensor. Experimental results demonstrate a positive correlation between water flow rate, turbine rotational speed, and generator output voltage. The system begins operating at a minimum flow rate of 35.2 L/s at 56 RPM, producing 0.2 V, while optimal performance is achieved at 45.3 L/s and 516 RPM, generating up to 13.3 V. These results indicate that the proposed prototype is a viable alternative renewable energy source for marine applications.

Furniture is an item needed to complete the needs at home or residence, furniture helps the process of household chores become easier, as a place of storage, and creates comfort for its occupants. In this increasingly environmentally conscious era, product design is here to integrate the principles of sustainability. One of them is waste from industrial HPL (high pressure laminate) which is often thrown away without being utilized, Plywood waste and High Pressure Laminate (HPL) are by-products of the furniture industry that hold potential for reuse through sustainable design practices. This study aims to design a coffee table using plywood and HPL waste by applying the Design Thinking method, which includes the stages of empathize, define, ideate, prototype, and test. This method enables user needs analysis, idea exploration, and iterative prototype development. The results indicate that waste materials can be transformed into a coffee table that is strong, aesthetically appealing, and functional. The use of HPL enhances surface durability and visual value, while the plywood structure can be reinforced through simple joinery systems. The final product meets ergonomic, stability, and aesthetic criteria. In conclusion, Design Thinking is effective in transforming waste materials into high-value furniture and supports sustainable design practices

Digital marketing has become a vital tool for business growth today, especially for housewives running small businesses. However, challenges such as a lack of technical knowledge and limited access to digital devices often hinder them from competing in the modern marketplace. In response to this phenomenon, the Community Service (PKM) initiative in Tamallayang Village, Bontonompo, was specifically designed to strengthen the capacity of housewives through education on the use of marketing technology to advance their businesses. This program employs a participatory training model that emphasizes two-way discussions and real-life case studies, allowing participants to understand and directly apply material such as digital marketing fundamentals, WhatsApp optimization, and content creation techniques. The success of this program is reflected in the substantial increase in competency and growing optimism of the participants in managing their businesses in the digital realm. The mothers now not only master the theory but are also able to execute the strategies they have learned to expand product exposure and boost sales figures. The benefits of this activity also have broad implications for strengthening the family economic structure and overall social welfare in the region. Going forward, the successful implementation of digital marketing strategies in Tamallayang Village is expected to become a prototype for empowering MSMEs in other areas, while also emphasizing that technological adaptation is a mandatory step in strengthening business competitiveness in the current era.

This study aims to develop a storytelling-based learning media in the form of a YouTube video to support students’ understanding of narrative text based on their learning needs. This study employed a Research and Development (R&D) design using the ADDIE model, focusing on the stages of analysis and development. The data were collected through a questionnaire as part of the needs analysis to identify students’ responses toward listening and repetition activities, as well as the difficulties they face in understanding narrative texts. The results show that students generally respond positively to listening and repetition. However, they still experience difficulties in understanding the storyline and vocabulary. The findings also indicate that students need learning support in the form of audio, visual elements, and vocabulary assistance. Based on these findings, a learning product was developed in the form of a YouTube-based digital storytelling video entitled “Learn Narrative Text Through Fun Storytelling (Listen, Repeat & Retell)”. The video integrates storytelling, repetition, vocabulary explanation, and speaking practice to support students’ comprehension. Due to time limitations, this study was limited to the development of a prototype and has not yet included expert validation. Therefore, future research is recommended to conduct validation to evaluate the feasibility and effectiveness of the developed product.

This study aims to describe the concept of Immersive Commerce based on Augmented Reality (AR) in increasing consumer confidence in E-Commerce transactions and to design a conceptual prototype design framework for an AR E-Commerce system with a clear technical flow. The research method uses a literature study through a comprehensive review of AR-based E-Commerce implementations and needs analysis from the perspective of consumer problems and business opportunities. The main problem identified is consumer hesitation in purchasing products online due to limited visualization that relies solely on product photos, causing fears about differences in shape, size, and quality of goods. The research results produced a conceptual framework that includes an integrated system architecture with a frontend layer (AR visualization engine), backend layer (product database and 3D asset management), and integration layer, as well as a systematic user flow design from the discovery to the decision phase. Based on simulations using literature data, the designed framework has the potential to increase customer engagement by up to 169%, conversion rates by up to 11 times, and reduce product return rates by up to 50%. The benefits of this research include digital dimensions through E-Commerce technology innovation, social dimensions by increasing consumer trust and reducing product fraud, and environmental dimensions through the potential reduction of product returns. This conceptual prototype provides a foundation for digital innovation, social trust building, and environmental sustainability through reduced product returns.