e-Journal of Hamzanwadi University
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Aplikasi IoT Untuk Monitoring Kualitas Air Tawar Pada Pemeliharaan Ikan Dengan Metdoe Fuzzy Logic Berbasis Aduino
Full text linkFreshwater fish farming requires a lot of attention. Water conditions are the main consideration when raising fish. Water conditions, including pH, ammonia, and temperature, will affect fish development. Monitoring water conditions is not always possible visually and on-site. Therefore, a reader connected to the internet is needed so we can read the exact values and monitor anywhere and anytime. This is where the Internet of Things (IoT) plays a crucial role in facilitating freshwater fish farming monitoring. Applications are also used to display data from the existing Internet of Things (IoT). The presence of the Internet of Things (IoT) will increase efficiency in fish farming and facilitate monitoring. The Mamdani Fuzzy Logic method will be implemented and embedded in the ESP32 as a microcontroller. The results of this research are an Internet of Things (IoT) tool along with a website as a data monitoring page. The tool will be tested using Mean Absolute Percentage Error (MAPE) compared to the results of calculations in Matlab. The results showed only a small error between the tool readings and Matlab with an accuracy level of 99%. In conclusion, this tool can help the efficiency of water quality monitoring in fish farming with a reading accuracy and fuzzy logic processing rate of 99%
Jejak Transformasi Budaya: Evolusi Komunikasi Manusia dari Era Lisan hingga Algoritma Digital
Full text linkSince the beginning of civilization, communication has progressed from simple gestures and body language to intricate digital systems. Communication is not merely a means of transmitting information; it is also an essential social process in the production of meaning, cultural identity, and societal evolution. This research seeks to examine the evolution of communication as a driving force in the formation, preservation, and transformation of culture over time. Using a descriptive qualitative method and an in-depth literature review approach, this study integrates perspectives from history, anthropology, sociology, and digital media studies, enriched with archaeological data and analysis of two contemporary regulatory case studies: GDPR in the European Union and misinformation handling in the United States. The findings show that every breakthrough in communication—writing, printing, and digitalization—causes structural changes in society, such as the emergence of imagined communities, the differentiation of intellectual classes, and the formation of a surveillance capitalism culture. In the digital era, this shift accelerates cultural norm changes and fosters the emergence of new symbols in cross-cultural communication, while also posing severe issues such as social fragmentation, access inequality, and a digital ethics crisis. This study underlines the importance of a balanced regulatory strategy, collective ethical awareness, and cross-disciplinary cooperation in managing the effects of communication evolution
Pengembangan Model Pembelajaran Adaptif Berbasis The Forgetting Curve untuk Meningkatkan Retensi Konsep Spasial dalam Pembelajaran Geografi
Full text linkThe main challenge faced in Geography learning is memory decline, especially regarding spatial concepts that are often complex and abstract. The Forgetting Curve cognitive theory explains that human memory tends to decline over time if there is no organized repetition. This study aims to create an adaptive learning model based on the Forgetting Curve to improve student retention of spatial concepts in Geography. The method used in this study was a Research and Development approach with the ADDIE model, which includes analysis, design, development, implementation, and evaluation. The research subjects were 35 11th-grade students at MA Nurul Ittihad. Research data were obtained through test instruments to measure spatial knowledge retention, questionnaires about student perceptions, and observation sheets to assess the implementation of the model. The results of the study indicate that the adaptive learning model based on The Forgetting Curve has a very high feasibility level with an expert validation score of 87.9%. The model has also been proven to be practical, as demonstrated by an implementation success rate of 91.4% and student engagement of 86.2%. Cohen's d value of 3.80 indicates the model's high effectiveness in improving learning outcomes. The model is also effective in improving students' spatial concept retention, as reflected in the increase in pretest scores (61.04) to 77.75 (posttest), and remains high (73.91) on the delayed test. These findings confirm that implementing adaptive learning based on The Forgetting Curve can strengthen students' long-term retention of spatial concepts in Geography learning
Sinergi Kader dan Modal Sosial dalam Transformasi Program Kesehatan di Kampung KB Jenawi Desa Mertasinga Kabupaten Cirebon
Full text linkThe success of the health program in Kampung Keluarga Berkualitas (KB) Jenawi is hampered by communication gaps and cultural resistance, making the vital role of community health worker as local figures who utilize social capital important in mobilizing community participation and optimizing the program. The purpose of this article is to identify the role of community health worker's social capital in optimizing the health program in Kampung KB Jenawi. This study uses a qualitative approach with observation and informant interview techniques with several criteria, namely community health worker, residents, village midwives, Health Field Officers (PLKB), and the head of the neighborhood association (RW). The data analysis technique used in this study is thematic data analysis. The results of this study show that: (1) the implementation of bonding social capital of community health worker is more evident in the BKB and BKL health programs in the form of collective homogeneity, internal traditions and solidarity, communication patterns, as well as social and psychological support; (2) the actualization of bridging social capital was aimed at the BKB and BKL programs in the form of internal actor collaboration and external community collaboration, (3) and the implementation of linking social capital was carried out in the BKB, BKR, and BKL programs in the form of government agency networks and government agency delegate actors. The conclusion is that the optimization of each health program in Kampung KB Jenawi is supported by the respective social capital of community health worker
Analisis Pengaruh Kemiringan Lereng Terhadap Jenis Tanah dan Sebaran Vegetasi Sebagai Cerminan Karakteristik Lahan di Kebun Teh Wonosari
Full text linkKemiringan lereng merupakan faktor geomorfologis penting yang memengaruhi perkembangan tanah dan pola sebaran vegetasi di kawasan perkebunan. Penelitian ini bertujuan untuk: 1) menganalisis secara komprehensif bagaimana kemiringan dan posisi lereng memengaruhi sifat fisik dan kimia tanah di area perkebunan teh; 2) mengevaluasi bagaimana variasi sifat tanah tersebut berkorelasi dengan pola sebaran vegetasi; dan 3) menginterpretasikan interaksi antara topografi, tanah, dan vegetasi sebagai representasi karakteristik lahan secara menyeluruh. Penelitian ini dilakukan di Kebun Teh Wonosari, Malang, Jawa Timur, sebagai dasar karakterisasi lahan. Metode yang digunakan meliputi pendekatan deskriptif-komparatif melalui analisis literatur, interpretasi kondisi topografi, dan pengamatan umum terhadap vegetasi berdasarkan zonasi lereng. Hasil penelitian menunjukkan bahwa variasi kemiringan lereng dari landai hingga curam berpengaruh terhadap tingkat erosi, ketebalan horizon tanah, kandungan bahan organik, dan distribusi vegetasi. Lereng landai cenderung memiliki tanah yang lebih dalam, akumulasi bahan organik lebih tinggi, serta vegetasi teh dan tanaman penutup tanah yang lebih rapat. Sebaliknya, lereng curam memiliki tanah dangkal, drainase cepat, tingkat erosi lebih tinggi, dan vegetasi lebih jarang. Temuan ini menegaskan bahwa perbedaan morfologi lereng berperan dalam menentukan kualitas tanah dan pola vegetasi, sehingga pemahaman terhadap variasi lereng penting untuk mendukung perencanaan dan pengelolaan perkebunan teh secara berkelanjutan
Ketahanan Masyarakat Perkotaan Menghadapi Banjir Studi Kasus Kelurahan Ulujami Jakarta Selatan
Full text linkBanjir merupakan bencana hidrometeorologi yang berulang di kawasan perkotaan dan menimbulkan dampak multidimensi terhadap kehidupan masyarakat. Kelurahan Ulujami, Jakarta Selatan, merupakan salah satu wilayah yang rentan terhadap banjir akibat luapan Kali Pesanggrahan, curah hujan tinggi, kepadatan permukiman, dan keterbatasan kapasitas drainase. Penelitian ini bertujuan untuk: 1) menganalisis tingkat ketahanan masyarakat Kelurahan Ulujami terhadap banjir berdasarkan perspektif modal manusia, modal finansial, dan modal sosial, serta 2) menganalisis proses rehabilitasi dan rekonstruksi pasca banjir dari aspek sosial ekonomi dan kelembagaan. Penelitian ini menggunakan metode kuantitatif dengan pendekatan survei. Data dikumpulkan melalui kuesioner kepada masyarakat pada tingkat RT/RW, wawancara terstruktur, dan dokumentasi, kemudian dianalisis menggunakan statistik deskriptif. Hasil penelitian menunjukkan bahwa: 1) tingkat ketahanan masyarakat Kelurahan Ulujami berada pada kategori sedang hingga tinggi, yang didukung oleh modal manusia dan modal sosial yang relatif kuat, terutama pada aspek pengetahuan dasar banjir, kondisi kesehatan keluarga, solidaritas antarwarga, dan akses informasi kebencanaan. Namun demikian, modal finansial masih tergolong rendah, ditandai oleh keterbatasan pendapatan, minimnya kepemilikan dana darurat, dan ketergantungan pada satu sumber penghasilan; 2) dari aspek rehabilitasi dan rekonstruksi, pemulihan sosial ekonomi pasca banjir telah berjalan cukup baik, tetapi belum sepenuhnya terintegrasi dengan upaya pengurangan risiko bencana dan penguatan kelembagaan
Formulasi dan Uji Aktivitas Antibakteri Sediaan Mouthwash Fraksi Metanol Daun Seledri (Apium graveolens L.) terhadap Pertumbuhan Bakteri Streptococcus mutans Penyebab Karies Gigi
No full textStreptococcus mutans is a bacterium found in the human oral cavity and is the primary cause of tooth decay. The effects of Streptococcus mutans bacteria can be eliminated with mouthwash formulated with natural ingredients, one of which is celery leaves, which are known to have antibacterial properties against the growth of Streptococcus mutans. The purpose of this study was to determine the best concentration of a mouthwash formulation using the methanol fraction of celery leaves based on the results of the physical properties evaluation test and to determine the antibacterial activity of a mouthwash formulation using the methanol fraction of celery leaves in inhibiting the growth of Streptococcus mutans bacteria. This study was a quantitative study using a laboratory experimental method with a posttest-only control group design. This study is a quantitative study using a laboratory experiment method with a posttest-only control group design by observing the area of the inhibition zone as the dependent variable. The area of the inhibition zone of each formula was compared with the control using the ANOVA test. The results of the physical properties evaluation test, including ogrnanoleptic tests, pH tests, homogeneity tests, specific gravity tests, and cycling tests, met the requirements for good physical quality. The highest antibacterial activity results were found in formula III with a concentration of 1.5% celery leaf methanol fraction with an average inhibitory power of 23.63 mm with a Very Strong category
Permainan Tradisional dalam Mengembangkan Aktivitas Fisik, Kecerdasan Sosial, dan Emosional: Analisis pada Komunitas Permainan Tradisional
No full textDigital developments have reduced physical activity and social interaction among adolescents, resulting in sedentary lifestyles and challenges in regulating emotions. This study aims to analyze the influence of traditional games on the physical activity, social intelligence, and emotional intelligence of adolescents in cultural communities in Malang City. The method used a mixed-methods design with a one-group pretest-posttest approach on 30 members of the KUAT Community. The structured traditional games intervention was carried out over 8 weeks. Quantitative data were analyzed using the Wilcoxon test, Spearman's correlation, and linear regression; qualitative data were analyzed thematically. The results showed a significant increase in all three variables (p=0.000). Physical activity increased from 45.90 to 87.93; social intelligence from 56.73 to 87.07; and emotional intelligence from 57.73 to 87.90. A strong correlation was found between variables (ρ=0.65–0.78). Physical activity predicted a 54.8% increase in social intelligence and a 42.0% increase in emotional intelligence. Qualitative data revealed learning mechanisms through direct interaction and group dynamics. Conclusion Traditional games in cultural communities are effective as holistic interventions that simultaneously improve the physical, social, and emotional aspects of adolescents.Penelitian ini bertujuan untuk menganalisis pengaruh permainan tradisional terhadap aktivitas fisik, kecerdasan sosial, dan kecerdasan emosional pada remaja yang tergabung dalam komunitas olahraga tradisional ( KUAT ) di Kota Malang. Penelitian ini merupakan penelitian kutitatif one group pre test post test. Data kuantitatif dikumpulkan melalui angket skala Likert, sedangkan data kualitatif diperoleh melalui wawancara mendalam dengan informan kunci. Uji normalitas menunjukkan bahwa data tidak berdistribusi normal, sehingga analisis menggunakan uji non-parametrik Wilcoxon Signed-Rank Test. Hasil penelitian menunjukkan adanya peningkatan signifikan pada ketiga variabel yang diteliti, yaitu aktivitas fisik (pre-test = 45,90; post-test = 87,93; nilai signifikansi < 0,05), kecerdasan sosial (pre-test = 56,73; post-test = 87,07; s < 0,05), dan kecerdasan emosional (pre-test = 57,73; post-test = 87,90; s < 0,05). Analisis korelasi juga menunjukkan hubungan positif yang kuat antara aktivitas fisik, kecerdasan sosial, dan kecerdasan emosional, terutama antara kecerdasan sosial dan emosional (r = 0,78). Temuan ini mengindikasikan bahwa permainan tradisional tidak hanya berfungsi sebagai sarana rekreasi, tetapi juga sebagai media pendidikan karakter dan kesehatan yang mampu meningkatkan aktivitas fisik, sosial, dan emosional. Penelitian ini menegaskan pentingnya mengintegrasikan permainan tradisional ke dalam kegiatan pendidikan maupun komunitas sebagai strategi pelestarian budaya sekaligus peningkatan kualitas sumber daya manusia.
 
Penerapan Model LSTM dan CNN Untuk Klasifikasi Sentimen Pada Ulasan Aplikasi Roblox
Full text linkIn the rapidly evolving digital era, online gaming platforms like Roblox have transformed into complex interactive social spaces where users interact, create, and co-build virtual experiences. This study aims to compare the performance of two deep learning architectures Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) in classifying user reviews of the Roblox app from the Google Play Store into positive, negative, and neutral sentiment categories. The dataset comprises 5,000 Indonesian-language reviews collected via web scraping using the google_play_scraper library. Preprocessing involved text cleaning, case folding, tokenization, normalization of informal words, stopword removal, stemming, and lexicon-based sentiment labeling. Data were converted to numerical representations using Tokenizer and padding, then split into 80% training and 20% testing subsets. CNN achieved superior performance with 89% accuracy, 0.88 precision, 0.81 recall, and 0.83 F1-score, outperforming LSTM (86.60% accuracy, 0.80 precision, 0.82 recall, 0.81 F1-score). CNN effectively extracts spatial patterns in text, while LSTM captures temporal word dependencies. This research affirms CNN's superiority for short Indonesian text sentiment analysis, provides a deep learning benchmark for gaming app reviews, and offers practical implications for Roblox developers to interpret user feedback for feature enhancements
Perbandingan Prediksi Pengunjung Website Menggunakan SARIMA, LSTM dan Holt-Winters TES
Full text linkRapid technological developments have changed people's lifestyles, marked by an increase in online activity. APJII states that by 2025, 229 million Indonesians will be internet users, while BPS recorded 3,816,750 digital businesses in 2023. This growth has encouraged the use of websites as the primary medium for business and information. Therefore, understanding visitor trends and seasonal patterns is crucial for effective and efficient management. This study offers a new contribution by predicting the number of visitors to the website of PT. XYZ, a tea company in Indonesia. It uses three time series models: Seasonal Auto Regressive Integrated Moving Average (SARIMA), Long Short-Term Memory (LSTM), and Holt-Winters Triple Exponential Smoothing (Holt-Winters TES) with a prediction period of 71 days prior and to predict 14 days ahead. The dataset used consists of 32,518 visitor data entries. Model performance is evaluated using Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE). The results show that LSTM achieved the lowest error with an MSE of 8257.23, an RMSE of 90.87, and a MAPE of 12.73%. Therefore, the LSTM model achieved the highest accuracy, while Holt-Winters TES performed better than SARIMA in certain aspects. Visitor predictions can support strategic decision-making and content managemen