E-Journal Politeknik Negeri Cilacap
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Analisis Pengaruh Engine Temperature Terhadap Laju Konsumsi Bahan Bakar Mobil Hemat Energi Kategori Urban Etanol
Full text linkA crucial global issue is the world\u27s dependence on fossil fuels as its primary energy source. An alternative solution to this problem is to use fuels such as ethanol. Using ethanol as fuel requires comprehensive optimization of the vehicle system, including the engine\u27s temperature control. This research aims to determine the effect of engine operating temperature variations on fuel efficiency thru 4 engine temperature variations: 70, 80, 90, and 100 degrees Celsius, using two approaches: static and dynamic. The test results show that engine temperature affects fuel consumption and engine operating stability. Based on the experiments conducted, it was concluded that a temperature of 90°C is the most optimal working temperature, with an increase of 9.91% in static testing and 14.74% in dynamic testing (compared to the temperature with the lowest efficiency). It can be concluded that 90°C is recommended as the optimal working temperature for ethanol engines in the development of energy-efficient vehicles
Kampung Bersemi Jambon Gesikan: Pionir Aksi Iklim Kota Magelang Menuju Predikat Lestari Nasional
Full text linkThe Bersemi Jambon Gesikan Climate Village is a popular location for the climate village program in Magelang City. The initiative and nomination status upgrade from the main category to Sustainable. Obstacles faced included limited enrichment of climate change adaptation and mitigation activities, administrative procedures, and strengthening community institutions. Mentoring focused on increasing the capacity of administrators through socialization of the legal basis, administrative procedures, education on public awareness and participation, filling out the national climate change control registry system, preparing a five-year work program, and producing a profile video. Implementation methods included socialization and direct mentoring, so that administrators and community members could plan, implement, monitor, and periodically evaluate the program independently. The success of this activity included an increase in the assessment score for the climate village program category with a score of 91.07, the realization of sustainable adaptation and mitigation actions, institutional strengthening, the formation of a partnership network, and increased awareness of sustainable residential environments.
Prediksi Risiko Depresi Berdasarkan Data Demografis dan Psikososial menggunakan Metode Ensemble Learning dengan Pendekatan Stacking
Full text linkDepression is a mental health problem with high prevalence that requires accurate and reliable computational-based prediction systems to support early detection. This study proposes a depression risk prediction architecture based on a stacking ensemble approach incorporating an out-of-fold (OOF) mechanism to prevent data leakage during meta-feature generation. The model combines Support Vector Machine and XGBoost as base learners, with Logistic Regression employed as the meta-learner. A public Depression Professional Dataset is processed using a stratified split strategy, class balancing on the training data through SMOTE, and feature standardization to enhance training stability. Experimental results demonstrate that the proposed approach achieves superior performance with an accuracy of 0.99, precision of 0.91, recall of 1.00, and an F1-score of 0.95, along with consistent detection capability for the minority class. These findings confirm that the systematic integration of OOF stacking and SMOTE improves model sensitivity while reducing false negative errors, making it suitable for the development of artificial intelligence–based mental health screening systems
Penerapan Teknologi Pompa Air Tenaga Surya dan Aplikasi Pembukuan Mobile pada Usaha Pertanian di Bunton
Full text linkThe Kreasi Tani Group in Bunton Village, Cilacap Regency, faces two main challenges in developing oyster mushroom cultivation and pioneering shallot cultivation. First, the significant water requirement for mushroom spraying and shallot seedling watering causes quite burdensome electricity costs for water pump operations. Second, the farmer group does not yet have an adequate financial bookkeeping system, making it difficult for them to accurately monitor financial conditions and make strategic considerations for future business development. This community service activity aims to implement two technological solutions. The first solution is to design and install a Solar power plants system to operate the water pump. Solar power plants system uses 2 200 Wp photovoltaic units, 1 1500 VA inverter unit, and 2 60 AH batteries. The second solution is to develop and train the use of an Android-based mobile bookkeeping application (created with MIT App Inventor) designed to record production results, prices, and summarize sales results of oyster mushrooms and shallots periodically (weekly or monthly). The implementation of Solar Power Plant system can significantly reduce production costs through electricity savings. Meanwhile, mobile bookkeeping applications make it easier for managers to create financial reports, provide accurate data sources, and support strategic decision-making for future business development
Implementasi Stacking Ensemble Berbasis Cross Domain untuk Klasifikasi Diabetes
Full text linkDiabetes mellitus is a chronic disease whose prevalence continues to increase and demands accurate early detection solutions that are adaptive to patient data diversity. This study implements the stacking ensemble method for diabetes risk classification with a cross-domain approach, integrating two popular datasets, namely the PIMA Indians Diabetes and NHANES. The experimental pipeline includes feature and label harmonization, missing value imputation using the median, standardization, and class balancing through oversampling. The base models used include Random Forest, Support Vector Machine, Decision Tree, and Multi-Layer Perceptron, with Logistic Regression as the meta learner in the stacking scheme. The evaluation was conducted systematically using stratified k-fold cross-validation and test split, as well as cross-domain scenarios to measure the model\u27s cross-domain adaptation capabilities. In the adaptive domain scenario, the stacking ensemble achieved an accuracy of approximately 0.987% with a recall of 1.000% and an ROC-AUC of approximately 0.987%, while the accuracy of the single base learner reached an accuracy of 0.976% with a recall of 1.000% and an ROC-AUC of approximately 0.977%, thus demonstrating that the adaptive domain stacking approach provides consistently higher performance than the base model. These findings confirm the superiority of adaptive domain-based stacking in dealing with medical data heterogeneity and class imbalance issues, and reinforce its potential as a decision support system for early detection of diabetes in a wider population
Power Transformer Loading Prediction Using Linear Regression as a Basis for Remaining Life Estimation
Full text linkPower transformers are one of the important components in an electric power system that is expected to operate optimally. Along with its use, some factors cause the depreciation of the transformer’s life, such as loading factors and environmental temperature. This study aims to predict loading based on historical loading data using linear regression to determine the depreciation and estimated life of the transformer. The research was conducted on three transformers in locations with different environmental temperatures. The test results showed that the linear regression model had a high R-Squared validation value of 0.949 for Transformer#1, 0.948 for Transformer#2, and 0.945 for Transformer#3. Then the MAPE error value obtained for the three transformers was low, namely 2.99%, 1.76%, and 4.69%. The prediction results are used to calculate the estimated remaining life of the transformer, which shows that Transformer#1 is expected to have a lifespan of <1 year by 2029, Transformer #2 in 2026, and Transformer#3 in 2025. The results showed that the load and ambient temperature significantly affect the transformer\u27s life loss
Studi Perbandingan Kinerja Support Vector Machine Pada Klasifikasi Diabetes Mellitus Menggunakan Fitur Regular Expression dan Non-Regular Expression
Full text linkDiabetes mellitus is a rapidly progressing non-communicable disease that significantly affects quality of life. Clinical information in electronic medical records, such as prescriptions and laboratory results, often appears as unstructured text and therefore requires text-mining techniques for accurate classification. This research compares the performance of the Support Vector Machine (SVM) classifier on diabetes mellitus data processed with and without feature extraction using Regular Expressions (Regex). The workflow includes data preprocessing, feature extraction, TF-IDF weighting, model training, and evaluation using accuracy, precision, recall, and F1-score. Results show that both approaches achieve high accuracy (98.8–98.9%), with the non-Regex model performing slightly better at 98.93% compared to 98.83% for the Regex-based model. These findings indicate that SVM is effective for classifying text-based clinical data, while Regex provides potential benefits but requires further optimization to ensure its suitability for various medical text contexts
Upaya Peningkatan Kualitas Bawang Merah Melalui Penggunaan Mesin Pengering di Desa Karanganyar, Cilacap
Full text linkUnpredictable weather conditions during the traditional drying process pose a challenge to shallot farmers in the Rejeki Lancar farmer group in Karanganyar Adipala village in reducing yield losses. Adequate water content is essential for maintaining the quality of shallots ready for sale and storage. Therefore, a drying technology capable of maintaining and improving shallot quality is needed through the use of an electric drying machine. The community service project was implemented using the community-based research (CBR) method with a participatory approach by the farmer groups. The activity stages included observation and discussion, tool design and construction, tool testing and calibration, training and mentoring, and evaluation. The implemented drying machine can dry shallots in 21 hours, whis typically takes 7-9 days. This community service activity increased farmers knowledge and skills in shallot drying technology by 15,71 %. In addition to shortening the drying process, the electric-powered drying machine produces a more uniform moisture content, resulting in improved and more consistent shallot quality. The implementation of this technology is expected to reduce postharvest losses and enhance the competitiveness and sustainable income of shallot farmers.
Penganekaragaman Atraksi Wisata dan Penguatan Konservasi Warisan Budaya Tradisional FolkGames pada Pokdarwis Desa Cempaka Bumijawa
Full text linkVillage empowerment is a strategic effort as the current development paradigm emphasizes that development begins in villages. The existence of village funds and greater autonomy encourages villages to develop themselves through various creative strategies, one of which is the village tourism concept. Near the Guci hot spring tourist area in Tegal Regency, there is the Cempaka Village Tourism Awareness Group (Pokdarwis), which develops traditional culinary tourism through Pasar Slumpring. An initial survey identified several issues that need to be addressed, namely the limited variety of traditional culinary attractions offered, stagnant visitor numbers, and the claim of a traditional-based tourism concept that has not yet significantly contributed to the preservation of local culture. As a solution to these problems, this partnership community service program aims to provide advocacy and capacity strengthening for the Cempaka Village Pokdarwis to innovate in order to increase tourist visits while contributing to the preservation of local cultural heritage through the diversification of tourism attractions based on folk games. The community service activities were carried out using the Participatory Rural Appraisal (PRA) approach and an Educational Conservation Training Program on Traditional Games as Experience-Based Tourism Attractions, integrating several activities: (1) Folk Games Clinic; (2) Arrangement of Folk Games Zones; and (3) Trial implementation of folk games tourism attractions with visitors. The results of community service activities show that the approach to developing a tourist village that combines cultural-based tourism with digital marketing strategies has significant potential in increasing the attractiveness, differentiation, and sustainability of Slumpring Market as a local culture-based tourist destination
Perancangan Prototype Deteksi Kebocoran Gas dengan Sensor MQ2 dan NodeMCU ESP8266
Full text linkThis research successfully developed a prototype of an IoT-based LPG gas leak detection system using an MQ-2 sensor and NodeMCU ESP8266 with digital output. The system works in binary to detect the presence or absence of gas and send notifications via Telegram. The research method includes hardware design, microcontroller programming using Arduino IDE, and system testing through 10 simulated gas leaks at a distance of 5 cm. The test results show that the prototype functions very well, achieving perfect detection accuracy (100%) in all trials. The system can respond to gas leaks quickly, having an average response time of 1.6 seconds and sending Telegram notifications in less than 3 seconds. Importantly, the system did not give false alarms under normal conditions. The prototype features three layers of alerts: a buzzer sound, a red LED indicator, and a Telegram notification that can be accessed from anywhere. With a relatively affordable production cost, the system offers an effective, reliable, and affordable gas leak early detection solution for household safety.Penelitian ini bertujuan untuk mengembangkan prototipe sistem deteksi kebocoran gas berbasis Internet of Things (IoT) dengan memanfaatkan sensor MQ-2 dan mikrokontroler NodeMCU ESP8266. Sistem ini dirancang untuk mendeteksi kebocoran gas LPG secara real-time dan mengirimkan notifikasi kepada pengguna melalui aplikasi Telegram, sehingga memungkinkan respons cepat dalam situasi darurat. Metode penelitian mencakup perancangan perangkat keras, pengembangan perangkat lunak menggunakan Arduino IDE, serta pengujian integrasi sistem. Hasil pengujian menunjukkan bahwa sistem berhasil mendeteksi kebocoran gas dengan tingkat akurasi rata-rata waktu respons kurang dari 2 detik. Sistem ini juga memberikan peringatan berupa alarm suara, indikator LED, dan notifikasi Telegram, yang meningkatkan keselamatan pengguna. Dengan biaya yang relatif terjangkau, prototipe ini diharapkan menjadi solusi praktis untuk meningkatkan keamanan rumah tangga dan mengurangi risiko insiden kebocoran gas.