E-Journal Politeknik Negeri Cilacap
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Desain Alat Elektrokoagulasi Portabel untuk Penurunan Total Organic Carbon (TOC) pada Limbah Cair Bengkel Kendaraan Otomotif
Full text linkThe treatment of wastewater from automotive workshops presents a significant environmental challenge due to the high levels of organic materials, including Total Organic Carbon (TOC). One innovative and efficient solution is the use of electrocoagulation methods. This study aims to design a portable electrocoagulation device and determine an efficient time for reducing TOC levels. In this research, aluminum electrodes are used to induce electrochemical reactions, generating metal ions that can adsorb and precipitate contaminants in workshop wastewater. Experiments were conducted with different electrocoagulation process durations, specifically 3 hours and 5 hours, to measure TOC reduction efficiency. Laboratory test results indicate that electrocoagulation for 3 hours reduced TOC levels by 55.7%, while the 5-hour process achieved an efficiency of 86.4%. This process effectively meets the standard quality threshold for TOC, which is 110 ppm. The advantages of electrocoagulation lie in its high efficiency, lower operational costs, and the absence of the need for additional chemicals, making it a promising solution for wastewater treatment in workshops. This research contributes through an innovative design that can be applied on a small scale, particularly for automotive workshops that need an effective and economical wastewater treatment technology.
Keywords: Electrocoagulation, Efficiency, Workshop Wastewater Treatment, Total Organic Carbon (TOCPengolahan air limbah dari bengkel kendaraan bermotor merupakan tantangan lingkungan yang signifikan karena tingginya kandungan bahan organik, termasuk Total Organic Carbon (TOC). Salah satu solusi yang inovatif dan efisien adalah penggunaan metode elektrokoagulasi. Penelitian ini bertujuan untuk mendesain alat elektrokoagulasi yang portabel dan menentukan waktu yang efisien untuk penurunan parameter TOC. Dalam penelitian ini, elektroda aluminium digunakan untuk menginduksi reaksi elektrokimia, menghasilkan ion logam yang mampu mengadsorpsi dan mengendapkan kontaminan dalam air limbah bengkel.Eksperimen dilakukan dengan variasi waktu proses elektrokoagulasi, yaitu 3 jam dan 5 jam, untuk mengukur efisiensi penurunan TOC. Hasil uji laboratorium menunjukkan bahwa proses elektrokoagulasi selama 3 jam berhasil menurunkan kadar TOC sebesar 55,7%, sementara proses selama 5 jam mencapai efisiensi 86,4%. Proses ini efektif dalam mencapai standar baku mutu yang ditetapkan untuk TOC, yaitu 110 ppm.Keunggulan elektrokoagulasi terletak pada efisiensi yang tinggi, biaya operasi yang lebih rendah, serta tidak memerlukan penambahan bahan kimia, sehingga menjadi solusi yang potensial untuk pengolahan air limbah dari bengkel. Penelitian ini memberikan kontribusi dalam bentuk desain inovatif yang dapat diaplikasikan pada skala kecil, khususnya bagi bengkel kendaraan bermotor yang membutuhkan teknologi pengolahan air limbah yang efektif dan ekonomis.
Kata kunci : Elektrokoagulasi ,Efisiensi , Pengolahan Air Limbah Bengkel, Total Organic Carbon (TOC
An Pemanfaatan Sampah Organik Pasar untuk Pakan Ternak sebagai Upaya Pengurangan Sampah (Studi Kasus: Kelompok Tani Sumber Makmur, Gunung Tembak-Balikpapan)
Full text linkManaging the organic waste market in Balikpapan City is essential to reducing the burden on the Manggar Landfill. Organic waste, especially organic waste in the market, continues to increase along with the rapid growth of the population in Balikpapan City as a buffer city for Nusantara (New Capital City of Indonesia), which can increase the risk of environmental pollution and safety. Market organic waste can be used as an alternative feed for cattle and goats, and the Sumber Makmur Farmer Group, Gunung Tembak, Balikpapan City, has done this. Data collection for organic waste samples was conducted at Sepinggan Market, which has a sample size of 30 sample stalls. The organic market waste generation measurement technique refers to SNI 19-3964-1994 regarding Methods for Collecting and Measuring Waste Generation Samples with a data sampling time of 8 days (4 October 2024 – 11 October 2024). It was found that the average generation of market organic waste produced at Sepinggan Market was 452.67 kg/day. According to information from the Sumber Makmur Farmers Group, 26 cows and 26 goats are needed daily, and they need 500 kilograms of organic market waste as animal feed. These results prove there is still a difference or shortage of market organic waste of 47.33kg/day. This proves that using market organic waste such leftover vegetables or fruits can used for animal feed as an alternative to reducing market organic waste so that 100% is not immediately thrown into the Manggar Landfill, Balikpapan City.
Keywords: market organic waste, farming, animal feed, Manggar LandfillPengelolaan pasar sampah organik di Kota Balikpapan sangat penting untuk mengurangi beban TPA Manggar. Sampah organik dihasilkan terus meningkat seiring dengan pesatnya pertumbuhan penduduk di Kota Balikpapan sebagai kota penyangga Nusantara (Ibu Kota Baru Indonesia) yang dapat meningkatkan risiko pencemaran dan keamanan lingkungan. Sampah organik pasar dapat dijadikan pakan alternatif sapi dan kambing, hal ini sudah dilakukan oleh Kelompok Tani Sumber Makmur, Gunung Tembak, Kota Balikpapan. Pengambilan data sampel sampah organik dilakukan di Pasar Sepinggan dengan jumlah sampel sebanyak 30 lapak sampel. Teknik pengukuran timbulan sampah pasar organik mengacu pada SNI 19-3964-1994 tentang Cara Pengumpulan dan Pengukuran Sampel Timbulan Sampah dengan waktu pengambilan sampel data selama 8 hari (4 Oktober 2024 – 11 Oktober 2024). Diketahui rata-rata timbulan sampah organik pasar yang dihasilkan di Pasar Sepinggan adalah 452,67 kg/hari. Berdasarkan informasi dari Kelompok Tani Sumber Makmur, dibutuhkan 26 ekor sapi dan 26 ekor kambing setiap harinya, serta membutuhkan 500 kilogram sampah pasar organik sebagai pakan ternak. Hasil tersebut membuktikan masih terdapat selisih atau kekurangan sampah organik pasar sebesar 47,33kg/hari. Hal ini membuktikan bahwa pemanfaatan sampah organik pasar sebagai pakan ternak dapat menjadi salah satu alternatif pengurangan sampah organik pasar agar tidak 100% langsung dibuang ke TPA Manggar Kota Balikpapan.
Kata Kunci: Sampah Organik Pasar, Peternakan, Pakan Ternak, TPA Mangga
Biobriket Berbasis Limbah Lignoselulosa Berstandar Mutu SNI: Review
Full text linkThe depletion of non-renewable energy reserves encourages the development of alternative renewable energy sources, such as biomass energy. Biomass is an organic material derived from living organisms and contains biochemical compounds such as carbohydrates, proteins, and fats. Moreover, biomass also contains lignocellulose, which holds significant potential as a raw material for energy products such as bio briquettes. This article aims to examine the characteristics of bio briquettes from lignocellulose waste based on SNI briquette quality standards. Data search using literature studies with searches on Google Scholar, Research Gate, and ScienceDirect with the keywords "Lignocellulosic waste", "Biomass", and "Bio briquettes". The selected literature includes journals and national scientific seminar proceedings from the last ten years, screened using the PRISMA diagram. The literature used was 21 journals indexed in SINTA, 5 journals indexed in Scopus, 2 journals indexed in Garuda, 5 non-indexed journals obtained through Google Scholar, and 3 national scientific seminar proceedings, the data obtained was processed using meta-analysis. The results show that the characteristics of bio briquettes are influenced by the raw material. Bio Briquettes that comply with SNI standards can be assessed based on their lignocellulose content. Materials with high lignin levels tend to have a higher calorific value, making them potentially optimal raw materials. In contrast, materials with low lignin content have lower energy potential during combustion. Overall, lignocellulosic waste has significant potential as a raw material for high-quality bio briquettes based on SNI quality standards, especially through production process optimization by combining various raw materials.
Keywords: Bio Briquettes, biomass, lignocellulose waste, SNI quality standardsPenipisan cadangan energi tak terbarukan mendorong pengembangan sumber energi alternatif yang terbarukan, seperti energi biomassa. Biomassa merupakan bahan organik yang berasal dari makhluk hidup dan mengandung senyawa seperti karbohidrat, protein, serta lemak. Selain itu, biomassa juga mengandung lignoselulosa yang memberikan potensi besar sebagai bahan baku produk energi seperti biobriket. Artikel ini bertujuan mengkaji karakteristik biobriket dari limbah lignoselulosa berdasarkan standar mutu SNI briket. Penelusuran data menggunakan studi literatur melalui pencarian di Google Scholar, Research Gate, dan ScienceDirect dengan kata kunci “Limbah lignoselulosaâ€, “Biomassaâ€, dan “Biobriketâ€. Literatur yang dipilih mencakup jurnal dan prosiding seminar nasional ilmiah dalam sepuluh tahun terakhir yang diseleksi menggunakan diagram PRISMA. Jumlah literatur yang digunakan sebanyak 21 jurnal terindeks SINTA, 5 jurnal terindeks Scopus, 2 jurnal terindeks Garuda, 5 jurnal non-indeks yang diperoleh melalui Google Scholar, serta 3 prosiding seminar nasional ilmiah kemudian data yang diperoleh diolah dengan meta-analisis. Hasil penelitian menunjukkan bahwa kualitas briket yang dihasilkan dipengaruhi oleh bahan baku yang digunakan. Biobriket yang memenuhi SNI dapat dinilai berdasarkan kandungan lignoselulosanya, bahan dengan kadar lignin tinggi cenderung memiliki nilai kalor yang lebih besar, sehingga berpotensi menjadi bahan baku yang optimal. Sebaliknya, bahan dengan kandungan lignin rendah memiliki potensi energi yang lebih rendah saat pembakaran. Secara keseluruhan, limbah lignoselulosa memiliki potensi besar sebagai bahan baku biobriket berkualitas berdasarkan standar mutu SNI, terutama dengan optimasi proses produksi melalui kombinasi bahan baku.
Kata kunci: Biobriket, biomassa, limbah lignoselulosa, standar mutu SN
Pemanfaatan Teknologi dalam Pengelolaan Minyak Jelantah Serta Dampaknya Bagi Perekonomian Warga Lokal Studi Kasus: Bank Sampah Ngudi Lestari, Kota Semarang
Full text linkEvery household produces used cooking oil as waste that has no economic value. Some people still dispose of used cooking oil into water channels and soil, due to a lack of insight into the impact of this behavior on the environment. The Ngudi Lestari Waste Bank in Tinjomoyo Village became an educational place for the community to understand the importance of managing used cooking oil and providing economic opportunities for the community. This study aims to identify the characteristics of used cooking oil management at the Ngudi Lestari Waste Bank, describe the use of technology in the process of managing used cooking oil and wax at the Ngudi Lestari Waste Bank, analyze the economic value of used cooking oil management and strategies that can be developed to expand the network and use of technology in the management of used cooking oil at the Ngudi Lestari Waste Bank. The analysis was carried out using the recognition survey method, descriptive analysis, cost and return, transaction cost, and triangulation. It was found that they do not use any technology from the collection to the marketing stages in the Ngudi Lestari Waste Bank system. Strategies such the use of online questionnaires, collaborating with third parties, using e-commerce platforms to utilizing social media in marketing aspects can be used. Overall, the management of used cooking oil at the Ngudi Lestari Waste Bank not only contributes to the environment but also provides economic benefits to improve the economy of local residents.
Keywords: management, strategy, used cooking oil, utilization of technology, waste bankSetiap rumah tangga menghasilkan minyak jelantah sebagai limbah yang tidak memiliki nilai ekonomi. Sebagian masyarakat masih membuang minyak jelantah ke saluran air dan tanah, dikarenakan kurangnya wawasan akan dampak perilaku tersebut terhadap lingkungan. Bank Sampah Ngudi Lestari di Kelurahan Tinjomoyo menjadi Salah satu bentuk edukasi kepada masyarakat akan pentingnya pengelolaan minyak jelantah dan memberikan peluang ekonomi bagi masyarakat melalui penjualan produk yang dihasilkan dari limbah tersebut. Penelitian ini bertujuan untuk mengidentifikasi karakteristik pengelolaan minyak jelantah di Bank Sampah Ngudi Lestari, mendeskripsikan pemanfaatan teknologi pada proses pengelolaan minyak jelantah dan lilin di Bank Sampah Ngudi Lestari, menganalisis nilai ekonomi dari pengelolaan minyak jelantah di Bank Sampah Ngudi Lestari, menganalisis Strategi yang dapat dikembangkan untuk memperluas jaringan dan penggunaan teknologi pada pengelolaan minyak jelantah di Bank Sampah Ngudi Lestari. Analisis dilakukan dengan menggunakan metode recognition survey, analisis deskriptif, cost and return, transaction cost dan triangulasi. Berdasarkan hasil analisis yang telah dilakukan, didapatkan hasil bahwa belum adanya pemanfaatan teknologi mulai dari tahap pengumpulan, pengolahan, hingga pemasaran dalam sistem Bank Sampah Ngudi Lestari. Rekomendasi strategi yang dapat diberikan yaitu pemanfaatan teknologi seperti penggunaan kuesioner online, bekerja sama dengan pihak ketiga, penggunaan platform e-commerce hingga pemanfaatan media sosial pada aspek pemasaran. Secara keseluruhan, pengelolaan minyak jelantah di Bank Sampah Ngudi Lestari tidak hanya berkontribusi pada lingkungan tetapi juga memberikan manfaat ekonomi untuk dapat meningkatkan perekonomian warga lokal.
Kata kunci: bank sampah, minyak jelantah, pengelolaan, pemanfaatan teknologi, strateg
Pemanfaatan Akuaponik untuk Ketahanan Pangan di Lingkungan Pesantren Tunas Qurán Bandung
Full text linkSalah satu teknik pertanian yang saat ini diharapkan mampu membantu masyarakat adalah akuaponik, dimana pelaksanaannya menggabungkan pertanian hidroponik dengan perikanan. Dalam pengabdian masyarakat ini, telah dilakukan pemanfaatan teknologi akuaponik bagi Pesantren Tunas Qur’an di desa Cimenyan, Bandung. Infrastruktur dan lokasi pesantren yang terpencil dan terbatas, membutuhkan kegiatan positif oleh santri dan pengelola. Dengan keterbatasan tersebut maka pemanfaatan teknologi akuaponik merupakan opsi yang dipilih untuk mendukung ketahanan pangan di pesantren. Hasil kegiatan ini dapat dilihat dari hasil terselenggaranya penyuluhan dan workshop instalasi akuaponik. Peserta mendapatkan pengetahuan dan pemahaman terkait akuaponik dengan tingkat kepuasan penyelenggaraan program rata-rata sebesar 4,62 dengan 69% responden merasa sangat puas, dan 31% responden merasa puas
Implementasi Sistem Monitoring Tandon Air Warga Dusun Sidasari Desa Sidabowa Kecamatan Patikraja Kabupaten Banyumas
Full text linkResidents of Dusun Sidasari RT.7 RW.01 Sidabowa Village, Patikraja District, Banyumas Regency use a shared water tank to store water from wells to meet their clean water needs. The problem faced by these residents is that there is often a water deficit in the reservoir so the water in the reservoir runs out without the residents knowing. This happens because if there is a pipe leak that is not known by the residents, this has an impact on the work of the pump machine which works extra hard, resulting in the pump machine being damaged several times. Therefore, in this Community Service activity, a Water Reservoir Monitoring System has been implemented. This system will monitor the condition of the water tank. Residents can monitor these conditions through a display on a mobile application so that residents can find out if there is a water deficit in the water reservoir. The output of this activity is an increase in the insight and knowledge of RT administrators and residents regarding technology, accompanied by the installation of devices that have been implemented. The problem of water deficit in the reservoir was successfully overcome through the implementation of monitoring technology. This system allows residents and RT administrators to monitor water conditions in real time, making it easier to identify and anticipate water shortages. Tracking data for 1 week shows increased management efficiency, with the tank filled more than 75% and the empty rate reduced significantly. This success reflects the effectiveness of the system in preventing water deficits. This shows that the community\u27s enthusiasm for this technology also supports better water management. The early detection offered allows monitoring of water conditions in their environment to be met without any obstacles
Diseminasi Rak Pembibitan Biji Bawang Merah Dengan Teknologi Pencahayaan dan Penyiraman Terkendali
Full text linkThe continued reliance on shallot seeds is a significant challenge, primarily due to the high production costs associated with seed cultivation. To address the high production costs associated with shallot seeds, horticultural farmers within the Rejeki Lancar Farmer Group have endeavored to cultivate shallots from seeds. Nevertheless, the efficacy of the seeding technique remains relatively low. This is attributable to the specific land and climate conditions that prevail in this region. Considering the challenges encountered by this group, the proposed community service activities prioritize the acceleration of seedling growth, the enhancement of seedling quality, and the optimization of production costs for shallot seeds. This is achieved through the construction of a seedling rack equipped with artificial light. This community service activity utilizes a problem-solving approach based on the existing issues within the partner group, combined with a technology-based solution approach. The implementation of the community service program begins with observations at the partner site, followed by discussions with the partner regarding needs analysis and the suitability of the technological resources mastered by the community service team. This is followed by the preparation of technological media/tools, dissemination and training on the operation of the tools, and an evaluation of the activities. This activity demonstrates the high level of interest among residents in accelerating the production of red onion seeds from seeds. During the trial process, within two days in the germination rack, the growth of the seeds was observed to be significantly faster compared to traditional seedling production, which typically requires more time
Application of Machine Learning for Academic Outcome Prediction: A Methodological Comparative Study
Full text linkAcademic performance prediction is a crucial area in education; however, the complexity of influencing factors often cannot be adequately captured by simple linear models. This research conducts a methodological comparative analysis of five machine learning models Simple Linear Regression, Multiple Linear Regression (MLR), Decision Tree, Random Forest, and Artificial Neural Network (ANN) to determine the most accurate predictive approach using a comprehensive dataset encompassing academic, behavioral, and psychosocial factors. The models were evaluated using Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and R-squared (R2) metrics. Evaluation results on the test data revealed that the Multiple Linear Regression (MLR) model unexpectedly delivered the most superior performance, achieving an R2 value of 0.7324 and the lowest RMSE of 2.0391. Further analysis from non-linear models identified Attendance and Hours_Studied as the two factors with the highest predictive influence. This study concludes that interpretable models like MLR can be highly effective when supported by relevant features, offering practical implications for institutions to develop effective early warning systems by focusing on key, actionable factors
Hybrid Approach for Protein Secondary Structure Prediction with KNN, SVM, and Neural Network Algorithms
Full text linkOne of the main challenges in bioinformatics is predicting the structures of macromolecules, particularly nucleic acids and proteins. In this study, we propose a hybrid approach integrating K-Nearest Neighbors (KNN), Support Vector Machine (SVM), and Neural Network (NN) algorithms. We perform an in-depth analysis using various metrics, including accuracy, Q3 score, ROC, and precision-recall curves. Based on the RS126 dataset, we compared our hybrid model with individual approaches, revealing that our model achieves an accuracy of 80% and a Q3 score of 86%, outperforming each of the algorithms separately. These results validate the effectiveness of combining models for protein secondary structure prediction (PSSP). We show that the hybrid model outperforms the other models for this task. We also discuss the implications of these results and propose future work to further improve the accuracy and robustness of the model. This approach could have important implications for protein structure modeling, in particular for understanding their three-dimensional structure and function
Gold Price Forecasting using Time Series Modeling on a Web Platform
Full text linkGold is one of the most favored investment instruments due to its stability and its ability to preserve value against inflation. However, its price movements are volatile and influenced by various global economic factors, currency exchange rates, and geopolitical conditions, making gold price forecasting a significant challenge. This study aims to develop a gold price forecasting system using the Long Short-Term Memory (LSTM) algorithm, a variant of the Recurrent Neural Network (RNN) that excels in processing time-series data. The dataset consists of historical daily gold buying and selling prices from 2015 to 2025, collected from Yahoo Finance, Logam Mulia, and the official website of Bank Indonesia. The modeling process follows the CRISP-DM methodology, which includes business understanding, data preparation and exploration, modeling, and evaluation stages. Time Series Cross Validation (TSCV) is used to validate the model. LSTM performance is compared with other models such as GRU, CNN-1D, and Simple RNN to identify the best-performing architecture. Evaluation results indicate that LSTM achieved the highest performance with an R² score of 0.99 for selling prices and 0.98 for buying prices on the final test dataset. The system is deployed online, making it accessible in real-time. This research is expected to assist investors, financial analysts, and the general public in making smarter investment decisions based on valid historical data and advanced forecasting technology