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Stochastic assessment of voltage sags and techno-economic optimization Raman, Jeyagopi; Chan, Choon Kit; Gupta, Munish Kumar; Asmara, Yuli Panca; Baskara, Sudesh Nair; Kaewthep, Chaloemphol; Gao, Yuzhen
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i4.pp2501-2516

Abstract

Power quality has become an essential concern for industries and domestic energy consumption with the development of sophisticated equipment like micro-electronic devices. When a power quality event happens, such as voltage sag, financial losses for industries increase tremendously. Therefore, voltage sag evaluation becomes crucial for predicting the number of events and severity of voltage sag events of the electrical network. Industries can determine the mitigation investment needed for optimal operation using the knowledge obtained through voltage sag analysis method. Thus, the first part of the study addressed the development of a stochastic assessment method for voltage sag at an interested bus in the power system network, which was an initial objective of the study. The second part of the research investigates dynamic voltage restorer (DVR) control techniques, as well as the necessary capacitance and energy storage dimensions. The studies also recommend a technique for economic evaluation that emphasizes the expense of voltage sag events as well as the cost of investment in DVR with and without voltage sag events. The size of DVR and economic assessment model established in these studies enables industries to rate the cost of voltage sag and the total investment in mitigation devices.
Techno-Economic and Environmental Analysis of an On-Grid and Off-Grid Renewable Energy Hybrid System in an Energy-Rich Rural Area: A Case in Indonesia Umam, Faikul; Wahyu, Fiki Milatul; Efendi, Mochamad Yusuf; Amir, Nizar; Gozan, Misri; Asmara, Yuli Panca
Journal of Robotics and Control (JRC) Vol. 5 No. 5 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i5.22633

Abstract

Developing a dedicated renewable energy hybrid system is a viable option for extending access to electrical energy in energy-rich rural areas. This study conducted a feasibility analysis of using a hybrid energy system, combining solar photovoltaic, wind, and biogas, to generate electricity and meet the energy needs of the rural area. West Waru Village is selected as the case study area for this research because it has abundant renewable energy sources. The Hybrid Optimization of Multiple Energy Resources (HOMER) tools is employed for modeling and optimizing the hybrid energy system, offering a comprehensive analysis encompassing technical, economic, and environmental aspects. Furthermore, the study's findings were further analyzed through a sensitivity analysis, considering unpredictable factors such as village load consumption, solar radiation, wind speed, and biomass availability. Additionally, the study’s results reveals that the renewable energy hybrid system can meet nearly 80% of the rural area's electrical energy requirements at a cost of $0.16 per kWh, resulting in the reduction of 8.4 million kg of carbon dioxide emissions. These findings can serve as a baseline for stakeholders in developing renewable energy systems in rural areas.
Evaluation of the Effectiveness of Hand Gesture Recognition Using Transfer Learning on a Convolutional Neural Network Model for Integrated Service of Smart Robot Umam, Faikul; Dafid, Ach.; Sukri, Hanifudin; Asmara, Yuli Panca; Morshed, Md Monzur; Maolana, Firman; Yusuf, Ahcmad
Buletin Ilmiah Sarjana Teknik Elektro Vol. 7 No. 4 (2025): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v7i4.14507

Abstract

This study aims to develop and evaluate the effectiveness of a transfer learning model on CNN with the proposed YOLOv12 architecture for recognizing hand gestures in real time on an integrated service robot. In addition, this study compares the performance of MobileNetV3, ResNet50, and EfficientNetB0, as well as a previously funded model (YOLOv8) and the proposed YOLOv12 development model. This research contributes to SDG 4 (Quality Education), SDG 9 (Industry, Innovation and Infrastructure), and SDG 11 (Sustainable Cities and Communities) by enhancing intelligent human–robot interaction for educational and service environments. The study applies an experimental method by comparing the performance of various transfer learning models in hand gesture recognition. The custom dataset consists of annotated hand gesture images, fine-tuned to improve model robustness under different lighting conditions, camera angles, and gesture variations. Evaluation metrics include mean Average Precision (mAP), inference latency, and computational efficiency, which determine the most suitable model for deployment in integrated service robots. The test results show that the YOLOv12 model achieved an mAP@0.5 of 99.5% with an average inference speed of 1–2 ms per image, while maintaining stable detection performance under varying conditions. Compared with other CNN-based architectures (MobileNetV3, ResNet50, and EfficientNetB0), which achieved accuracies between 97% and 99%, YOLOv12 demonstrated superior performance. Furthermore, it outperformed previous research using YOLOv8 (91.6% accuracy.
Desiminasi Inovasi Teknologi Pemanfaatan Oli Bekas Pada Kompor Alternatif: Desiminasi Inovasi Teknologi Pemanfaatan Oli Bekas Pada Kompor Alternatif Arifin, Jainal; Herlina, Firda; Saukani, Muhammad; Sidiq, Abdurahim; Panca Asmara, Yuli; Sasmito, Agus; Arief, Saifullah
J-Dinamika : Jurnal Pengabdian Masyarakat Vol 10 No 3 (2025): Desember
Publisher : Politeknik Negeri Jember

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

Abstract

Bedasarkan pengamatan pada Kecamatan Alalak desa Semangat dalam dan kecamatan mandastana desa bangkit baru, harga gas LPJ 3 Kg pada bulan Februari 2025 mencapai Rp 40.000/ tabung, harga ini jauh lebih tinggi dari harga eceran yang ditetapkan pemerintah sebesar Rp 18.500/ tabung, tentunya sangat memberatkan bagi masyarakat yang membeli gas dengan selisih harga normalnya, disamping itu yang memicu mahalnya gas 3 Kg ialah, langkanya gas yang dijual pada warung dan agen-agen Lpj. Penggunaan minyak tanah sebagai bahan bakar kompor sudah ditinggalkan oleh masyarakat karena harganya ikut melabung tinggi berkisar Rp 15.000/ Liter, metode kegiatan ada terdiri dari pelaksanaan persiapan dan perencanaan, desain alat dan pembuatan, selanjutnya tim mengadakan sosialisasi dan pelatihan terhadap masyarakat, terakhir implementasi dan monitoring, dengan adanya kegiatan sosialisasi dan penyuluhan tersebut masyarakat dapat belalih pemakaian Gas Lpj ke kompor alternatif berbahan bakar oli bekas, dalam kegiatan tersebut tim membuat pelatihan perakitan alat dan didemonstraasikan langsung kepada masyarakat, antusias masyarakat dalam kegiatan tersebut sangat bagus, terlihat dengan keseriusan mengikuti kegiatan yang kami laksanakan, adapun hasil kuesioner yang telah kami bagikan menunjukan 73% mereka menilai Sangat Puas, dan penilaian puas 23% sementara 0% kurang puas, penilaian ini dengan jumlah 30 orang masyarakat, harapan kepala desa bangkit baru.
Thermally Driven Phase Transformation and Structural Evolution of Hydrothermally Synthesized MoS2 Muhammad Saukani; Yuli Panca Asmara; Lutvi Vitria Kadarwati; Sadang Husain
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 16 No. 1 (2026): Vol. 16 No.1 (2026)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v16n1.p1-10

Abstract

Molybdenum disulfide (MoS2) is a transition-metal dichalcogenide with tunable physicochemical properties, making it highly suitable for applications in energy conversion, electronics, and environmental remediation. This study investigates the thermally driven phase transformation and structural evolution of MoS2 synthesized via the hydrothermal method. The aim is to explore the phase transition as a function of annealing temperature. XRD and Raman spectroscopy were used to monitor the crystal and phase changes, while SEM and TEM were used to analyze the material morphology. The results showed that the synthesized MoS2 predominantly exhibited the 1T phase, as evidenced by the characteristic Raman peaks. After annealing at 300°C, a complete transformation to the 2H phase occurred, with increased crystallinity and a well-defined trigonal prismatic structure. SEM and TEM analyses revealed that the phase transformation did not significantly alter the material morphology, which retained its flower-like structure. These findings emphasize the importance of controlling phase transformations to optimize material properties, contributing to a broader understanding of MoS2 in various technological fields.
Pembuatan Komposter Dan Pendampingan Masyarakat Dalam Pengolahan Sampah Rumah Tangga Di Kelurahan Kota Banjarmasin Firda Herlina; Mujiburrahman; Yuli Panca Asmara; Irawan Noor; Agus Wiramsya Oscar; Jainal Arifin; Idzani Muttaqin; Faisal Rahman; Rendi
AMMA : Jurnal Pengabdian Masyarakat Vol. 5 No. 7 : Agustus (2026): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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

Abstract

Permasalahan sampah rumah tangga merupakan salah satu persoalan lingkungan yang terus mengalami peningkatan akibat pertumbuhan penduduk, perubahan pola konsumsi, serta rendahnya tingkat pengelolaan sampah dari sumbernya. Sampah organik yang berasal dari aktivitas rumah tangga seperti sisa makanan, limbah dapur, kulit buah, dan dedaunan memiliki proporsi yang besar, namun sebagian besar masih dibuang secara langsung sehingga menyebabkan peningkatan volume sampah di tempat pembuangan akhir serta berpotensi menimbulkan pencemaran lingkungan. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan pengetahuan, keterampilan, dan partisipasi masyarakat dalam pengelolaan sampah rumah tangga melalui penerapan teknologi tepat guna berupa komposter sederhana. Kegiatan dilaksanakan dengan pendekatan pemberdayaan masyarakat secara partisipatif melalui beberapa tahapan, yaitu identifikasi permasalahan mitra, sosialisasi pengelolaan sampah berbasis konsep 3R (Reduce, Reuse, Recycle), pelatihan pembuatan komposter, praktik pengolahan sampah organik menjadi kompos, serta pendampingan dan evaluasi keberlanjutan program. Hasil kegiatan menunjukkan adanya peningkatan pemahaman masyarakat mengenai pentingnya pemilahan sampah organik dan anorganik serta meningkatnya kemampuan masyarakat dalam melakukan pengolahan sampah organik menggunakan komposter. Masyarakat mampu memahami prinsip kerja komposter, melakukan proses pengisian bahan organik, melakukan pemeliharaan selama proses dekomposisi, serta memanfaatkan kompos yang dihasilkan untuk tanaman. Penerapan teknologi komposter sederhana memberikan alternatif solusi pengurangan sampah rumah tangga sekaligus mendukung terciptanya perilaku masyarakat yang lebih peduli terhadap lingkungan. Kegiatan ini menunjukkan bahwa pendekatan edukasi, pelatihan, dan pendampingan berbasis masyarakat mampu meningkatkan kapasitas masyarakat dalam mengelola sampah secara mandiri dan berkelanjutan.
A Framework on Optimizing Greenhouse Conditions for Plant Growth using Machine Learning Based on Time-Series Data Nanang Fatchurrohman; Yuli Panca Asmara
Ambidextrous Journal of Innovation Efficiency and Technology in Organization Vol. 5 No. 01 (2026): Ambidextrous: Journal of Innovation, Efficiency and Technology in Organization
Publisher : Takaza Innovatix Labs Ltd.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61536/ambidextrous.v5i01.290

Abstract

This study presents a machine learning (ML) framework for optimizing greenhouse environments to promote efficient plant growth. The approach utilizes time-series data to analyze and predict optimal growing conditions by integrating morphological traits—such as plant height, leaf size, and canopy structure—with dynamic environmental variables, including temperature, humidity, light intensity, and CO₂ levels. The proposed framework follows a structured, six-stage workflow comprising: data acquisition, data preprocessing, feature engineering, model selection and training, model evaluation, and prediction and decision support.. High-resolution sensors continuously collect environmental and plant-related data, which are then cleaned and formatted to handle missing values and temporal inconsistencies. Feature engineering techniques are applied to extract relevant growth indicators and environmental patterns. This framework lays the foundation for an intelligent decision support system that can assist growers in making informed environmental control decisions. By aligning greenhouse microclimates with the specific needs of crops, this approach aims to maximize yield, reduce energy consumption, and minimize resource waste. The adaptability of the framework also allows for its application across various plant species and cultivation setups, making it a scalable solution for modern agricultural operations.
Pencegahan Korosi pada Permukaan Baja Menggunakan Bio-Inhibitor yang Diekstrak dari Kulit Nanas Yuli Panca Asmara; Mujiburrahman; Irawan Noor; Ihwan Ghazali; Agus Wiramsya Oscar; Firda Herlina; Muhammad Renaldy Syahputra
Science Tech: Jurnal Ilmu Pengetahuan dan Teknologi Vol 12 No 2 (2026): August
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/st.vol12.no2.a23548

Abstract

Corrosion is a major problem affecting the durability of steel materials, creating a need for effective and environmentally friendly corrosion-control methods. This study evaluated the effectiveness of pineapple peel extract as a corrosion inhibitor for ST 42 steel in rainwater at immersion durations of 7 and 20 days. The gravimetric weight-loss method was used to determine the corrosion rate based on the mass loss of the steel specimens. Six ST 42 steel specimens were used individually for the experimental conditions, with one specimen representing each condition. Uninhibited specimens were immersed in rainwater and seawater for comparison, while pineapple peel extract was evaluated as an inhibitor only in rainwater. The uninhibited ST 42 specimens immersed in rainwater showed corrosion rates of 0.0952 and 0.1000 g/(cm²·day) after 7 and 20 days, respectively. In contrast, the specimens treated with pineapple peel extract showed no measurable mass loss, resulting in a calculated corrosion rate of 0.0000 g/(cm²·day) at both immersion durations. The calculated inhibition efficiency of the pineapple peel extract was therefore 100% at both 7 and 20 days. The uninhibited specimens in seawater showed corrosion rates of 0.0952 and 0.1000 g/(cm²·day) after 7 and 20 days, respectively, which were identical to those observed in rainwater. These results indicate the potential of pineapple peel extract as a plant-based corrosion inhibitor for ST 42 steel in rainwater under the tested conditions. However, the results should be interpreted cautiously because each condition was represented by a single specimen and the resolution of the digital scale was not documented.