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All Journal Jurnal Teknik Informatika (JUTIF) Unram Journal of Community Service (UJCS) Organisms: Journal of Biosciences Proceeding Seminar Nasional IPA Journal of Physics Education and Science Biosaintifika: Journal of Biology & Biology Education
Febriyanto, Hendra
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Immunology & microbiology Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Physics Social Sciences Veterinary Other

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Analisis Kualitas Air pada Sumber Mata Air di Kelurahan Kandri Kecamatan Gunungpati Kota Semarang Iqlima, Marsyanda Addelia; Putri, Adinda Rizqita; Hanum, Fadilla; Saputra, Arofi Agung Dwi; Gemilang, Aqshal Panggas; Febriyanto, Hendra; Jabbar, Abdul; Haris, Amnan
Proceeding Seminar Nasional IPA 2024
Publisher : LPPM UNNES

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Mata air menjadi salah satu sumber daya air yang memiliki potensi sebagai wilayah yang dapat dimanfaatkan, mata air sering kali berasal dari tanah yang muncul di permukaan, Mata air yang berada di Kelurahan Kandri antara lain Sendang Kali Kidul, Sendang Gede, dan Sendang Jambu. Proses pengambilan sampel pada penelitian ini menggunakan teknik water grab sampling yang dilakukan dengan cara pengambilan sampel terlebih dahulu, kemudian dianalisis lebih lanjut. Uji kualitas mata air di ketiga sendang dilakukan menggunakan parameter fisika dan kimia. Parameter fisika yang diuji meliputi TDS dan suhu. Sedangkan parameter kimia meliputi COD, BOD, dan pH. Berdasarkan hasil penelitian diperoleh kadar TDS dari ketiga sendang 82 ppm, 131 ppm, dan 141 ppm. Suhu yang diperoleh 28,3 C, 28,4 C dan 28,6 C. BOD yang diperoleh 12,26 mg/l, 4,07 mg/l, dan 0,9 mg/l. COD yang diperoleh 40 mg/l, 1 mg/l dan 13 mg/l. sedangkan , untuk pH sendiri yaitu 4,8 untuk sendang Kidul ; 5,2 untuk Sendang Gede ; dan 4,8 untuk Sendang Gede. Kata kunci : Kualitas Air; Mata Air; TDS; Water grab sampling.
Organic Fertilizer Production from Corn Litter Waste Using Micro bacteria Manshurin, Abi; Nurazizah, Kaylha Salsabilla; Putra, Aditya Permana; Putri, Arifa Lutfiya Amanda; Haris, Amnan; Fibriana, Fidia; Febriyanto, Hendra
ORGANISMS: JOURNAL OF BIOSCIENCES Vol. 5 No. 1 (2025): Organisms: Journal of Biosciences
Publisher : Pusat HKI, Paten, dan Publikasi Ilmiah Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/km5h3863

Abstract

The use of organic fertilizers is considered to be beneficial by farmers such as increasing land productivity. Corn farming contributes the highest agricultural waste in Indonesia, such as stem litter, leaves and husks. This waste has the potential to be used as organic fertilizer because based on research it contains many nutrients in it. This study aims to evaluate the effectiveness of EM4-based microbial treatment in accelerating the composting of corn litter waste through observational qualitative analysis. The results of this study indicate that the addition of microorganisms can shorten the time to make organic fertilizer. On the 6th day, the corn litter waste sample that had been given EM4 had shown the appropriate criteria for organic fertilizer in the form of a neutral pH concentration of 6.5 and did not have a disturbing odor and a texture that was no longer stiff. These findings suggest that EM4 can be used to accelerate composting of corn waste into high-quality organic fertilizer, potentially supporting sustainable agriculture.
Optimization Artificial Neural Network (ANN) Models with Adam Optimizer to Improve Customer Satisfaction Business Banking Prediction Ifriza, Yahya Nur; Mandaya, Yusuf Wisnu; Sanusi, Ratna Nur Mustika; Febriyanto, Hendra; Jabbar, Abdul; Kamaruddin, Azlina
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 3 (2025): JUTIF Volume 6, Number 3, Juni 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.3.4776

Abstract

Customer satisfaction prediction is critical for business banking to retain clients and optimize services, yet existing models struggle with imbalanced data and suboptimal convergence. Traditional approaches lack adaptive learning mechanisms, limiting accuracy in real-world applications. This study developed an optimized Artificial Neural Network (ANN) model using the Adam algorithm to improve prediction accuracy for banking customer satisfaction. We trained an ANN on the Santander Customer Satisfaction Dataset (76,019 entries, 371 features) with Adam optimization. Preprocessing included normalization, removal of quasi-constant features, and an 80-20 train-test split. Adam’s adaptive learning rates and momentum were leveraged to address gradient instability. The model achieved 95.82% accuracy, 99.99% precision, 95.83% recall, a 97.87% F1-score, and 0.82 AUC, outperforming traditional optimizers like SGD. Training loss reduced by 30% with faster convergence. This work demonstrates Adam’s efficacy in handling imbalanced banking data, providing a scalable framework for customer analytics. The results advance computer science applications in fintech by integrating adaptive optimization with deep learning for high-stakes decision-making. This research contributes to the growing body of knowledge in machine learning applications for business analytics and provides a valuable framework for improving customer satisfaction prediction models in various industries and the advancement of deep learning applications in business intelligence, particularly in banking service quality prediction.
A Story-Based Virtual Laboratory Practicum in an Undergraduate Genetics Course to Improve Concept Understanding and Visual Literacy Fibriana, Fidia; Abidin, Zaenal; Naufal, M Ahganiya; Febriyanto, Hendra; Alma’ruf, Fattah; Nurazizah, Kaylha Salsabilla; Ningrum, Nuraini Septia; Upaichit, Apichat
Biosaintifika: Journal of Biology & Biology Education Vol. 17 No. 2 (2025): August 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/biosaintifika.v17i2.23901

Abstract

Genetic concepts, particularly DNA technology, often lead to misconceptions among students. Integrating a virtual laboratory (VL) into coursework presents an innovative approach to enhancing concept understanding and visual literacy through interactive, story-based simulations that bridge theory and practice. This study aimed to analyze the students' concept understanding and visual literacy improvement by applying a VL to teach DNA Test Simulation (Paternity Test) using a contextual narrative method. The research was conducted in the Science Education undergraduate program with a purposive total sampling of students enrolled in Genetics (First Semester 2024/2025), utilizing an open-source web-based VL platform. Pretest and posttest assessments measured students' concept understanding and visual literacy before and after VL integration. The findings reveal a significant improvement, with concept understanding rising from an average pretest score of 42.6 to posttest 69.9 (N-Gain 0.46) and visual literacy increasing from 53.8 to 71.8 (N-Gain 0.37). Furthermore, 97% of students were satisfied with the VL-based learning method. This research contributes to knowledge and science development by demonstrating that VL can improve concept learning and visual literacy in genetics education. It offers an accessible and scalable solution for teaching complex DNA technology concepts, reducing reliance on costly wet laboratory experiments while maintaining scientific rigor. Beyond academia, the study supports broader educational equity, making advanced molecular biology concepts more available to diverse learners and fostering scientific literacy in society.
Development of an E-Magazine Based on Ethnoscience of Semarang's Traditional Food in the Topic of Temperature and Heat to Train Students' Scientific Literacy Skills Safitriani, Indah; Sudarmin; Febriyanto, Hendra; Naufal, Muhammad; Eralita, Norma; Budoyo, Joto; Anisah, Siti
Journal of Physics Education and Science Vol. 2 No. 4 (2025): September
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/physics.v2i4.1959

Abstract

This study aims to analyze the characteristics, feasibility, and effectiveness of an e-magazine based on ethnoscience of Semarang's traditional food on the subject of temperature and heat to train students' scientific literacy skills. The Research and Development (R&D) method, utilizing the ADDIE model, was employed. The study involved VII D class students at SMP Negeri 5 Semarang, with data collected through feasibility validation, pretest, posttest, and student responses. The results showed that the characteristics of the e-magazine produced include an attractive and colorful visual design, compatibility with various devices, efficiency, practicality, and flexibility, interactive features, an ethnoscience approach, science literacy aspects, and encouragement of independent learning. The findings indicate the e-magazine is highly feasible for use, scoring 96.11% for media aspects, 96.21% for content aspects, and 91% for student readability. Its effectiveness in improving science literacy was statistically significant (Wilcoxon test 0.00 < 0.05). An N-Gain score of 0.73 indicates a high improvement in science literacy, with an overall effectiveness level of 73% (moderately effective category). In conclusion, the ethnoscience-based e-magazine on Semarang's traditional food supports innovative learning, is highly suitable as a learning medium, and is sufficiently effective in developing students' science literacy skills.
Empowering a Rural Highland Community in Getasan District through Black Soldier Fly-Based Organic Waste Management for a Circular Economy Transition Heriyanti, Andhina Putri; Febriyanto, Hendra; Mustikaningtyas, Dewi; Kholil, Putri Alifa; Fariz, Trida Ridho; Salsabilla, Nur Hayati Afrilda; Romadhon, Vhaviriele Abel; Haris, Amnan
Unram Journal of Community Service Vol. 6 No. 3 (2025): September
Publisher : Pascasarjana Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ujcs.v6i3.1158

Abstract

Waste management in Indonesia is still dominated by open burning and landfilling, causing environmental and health problems. In Jetak Village, Getasan District, Semarang Regency, located in the rural highlands of Mount Merbabu, organic waste dominates household waste streams. Although a TPS3R facility has existed since 2022, its operation remains suboptimal due to low community participation and odor issues. This condition highlights the urgent need for innovative, community-based solutions. Black Soldier Fly (BSF, Hermetia illucens) farming offers an effective alternative, capable of reducing organic waste by 50–60% while producing valuable by-products. This community service program targeted village officials, farmer groups, women’s groups, youth, and TPS3R managers. Activities included awareness sessions on circular economy, training in BSF cultivation, field demonstrations using appropriate technology, digital marketing workshops, and operational assistance at TPS3R. Impact was assessed through participant questionnaires and scenario modeling of household-level BSF adoption based on waste generation data from SIPSN (2025) and BPS (2025). Twenty-five participants engaged actively throughout the program. Evaluation showed 100% agreement that BSF is effective for organic waste management, with 89% willing to adopt it at home. Products such as fresh and dried larvae and frass were successfully introduced, with estimated market value up to IDR 52,000/kg. Scenario analysis indicated potential reductions of 89–268 tons of organic waste annually and mitigation of 2.6–7.8 tons CO₂e, depending on adoption rates. The program proved that BSF technology is feasible, socially acceptable with proper education, and economically promising. It strengthened local waste management capacity, supported income generation, and contributed to circular economy transition while aligning with SDG 12 and Indonesia’s low-carbon development goals.
Co-Authors Abdul Jabbar aditya permana putra Alma’ruf, Fattah Apichat Upaichit, Apichat Budoyo, Joto Dewi Mustikaningtyas Fidia Fibriana Gemilang, Aqshal Panggas Hanum, Fadilla Haris, Amnan Heriyanti, Andhina Putri Iqlima, Marsyanda Addelia Kamaruddin, Azlina Kholil, Putri Alifa Manshurin, Abi Muhammad Naufal, Muhammad Naufal, M Ahganiya Ningrum, Nuraini Septia Norma Eralita Nurazizah, Kaylha Salsabilla Putri, Adinda Rizqita Putri, Arifa Lutfiya Amanda Romadhon, Vhaviriele Abel Safitriani, Indah Salsabilla, Nur Hayati Afrilda Sanusi, Ratna Nur Mustika Saputra, Arofi Agung Dwi Siti Anisah Sudarmin Trida Ridho Fariz Yahya Nur Ifriza Yusuf Wisnu Mandaya Zaenal Abidin