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Exploring Synergies: Tailoring Electrical Conductivity in Novel Corn Starch and Natural Rubber Polymer Composites through Varied Carbon Additives Fiqri, Miftahul; Humaidi, Syahrul; Frida, Erna; Estananto, Estananto
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 25 No. 02 (2024): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol25-iss02/500

Abstract

Conductive polymer composites were synthesized using a crosslinking method, enhancing conductivity through the incorporation of carbon additives. Non-conductive natural polymers, corn starch, and natural rubber were blended with carboxymethyl cellulose (CMC) as a crosslinking agent, enhancing polymer bonding. CMC also served as a compatibilizer, improving corn starch properties. Glycerol acted as a plasticizer, enhancing flexibility and processability. Addition of carbon nanotube (CNT), graphite, and carbon foam yielded low-density materials, with carbon foam providing optimal porosity. The crystalline properties mirrored the added conductive carbon, while the chemical structure remained unchanged. At 0.1 Hz, electrical conductivity varied: 1.192 x 10-7 S.cm-1 (no carbon), 6.123 x 10-4 S.cm-1 (CNT), 7.656 x 10-4 S.cm-1 (graphite), and 3.134 x 10-2 S.cm-1 (carbon foam). Graphite incorporation demonstrated an electrical conductivity of 7.838 x 10-4 S.cm-1. The introduced carbon additives facilitated a conductive pathway in corn starch-based polymer composites, elevating material conductivity.
Youth Civic Participation in Sustainable Suburban Development: The Role of Digital Technology Among Young People in Manglayang Rendra, Meldi; Afifah, Khilda; Estananto, Estananto
PESARE: Jurnal Pengabdian Sains dan Rekayasa Vol 3, No 1 (2025): Februari 2025
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/pesare.v3i1.44304

Abstract

The ideas of civic empowerment have transformed the discourse on sustainable suburban development, particularly through the active involvement of young people and the use of digital participatory media. This study, conducted in Manglayang, Bandung, employs an observational method using participatory action research to explore pathways toward the final evolutionary stage of sustainable development, focusing on rural agriculture and social, legal, and welfare citizenship. The research identifies key typologies of youth engagement in sustainable development, including social empowerment, entrepreneurship, and millennial agricultural movements, all facilitated by digital participatory media platforms. It also highlights a redefined notion of youth citizenship, emphasizing membership and participation in both civil and economic spheres through voluntary and profit-oriented activities. The findings reveal that this active, empowered form of citizenship, supported by digital participatory media, is a critical driver of modernization and sustainable economic development in Manglayang, Bandung.
Design and Implementation System Automatic Guided Vehicle (AGV) Using RFID for Position Information Waldy, Ibnu; Rusdinar, Angga; Estananto, Estananto
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol. 1 No. 1 (2015): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v1i1.1481

Abstract

Manufactured goods distribution system is a very important part in the production chain. Delivery of goods from one point to another point affects the effectiveness of the production process. At the moment, most companies whose business are in manufacturing require automation, including distribution of goods. One application of automation in the distribution of goods is AGV (Automated Guided Vehicle). Companies need AGV that can move in complex pathways. The movement includes a selection of AGV path traversed and AGV terminal position. This research discusses the design and implementation of an AGV navigation and position information settings. AGV navigation uses fuzzy logic in its algorithm, while position setting of the AGV uses Radio Frequency Identification (RFID) to recognize the position of the robot at each terminal. From the testing result, the system obtained a success rate of 96% in movement of the robot from one terminal to another terminal using the RFID. RFID can be read at both speed of the robot i.e. 6.9 and 7.13 m/min
SPATIAL PLANNING IN SUPPORTING VILLAGE DEVELOPMENT Rendra, Meldi; Estananto, Estananto
Charity : Jurnal Pengabdian Masyarakat Vol. 6 No. 1 (2023): Special Issue
Publisher : PPM Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/charity.v6i1a.5899

Abstract

Planning degrees have been focusing on rural studies, which make the best planning system for prevailing social welfare in villages. While village governments know development studies by demographic data in tabulation to evaluate/design the planning policies better or not. Different rural study models have been enriched and implemented in the past time. We use GIS to prove planning measures to be effective in rural governance to expand the decision-making process in planning policies. The participation/action research experienced a targeted planning policy in Covid 19 at Langensari-Lembang, Indonesia, found a method of static to dynamic, aggregated to disaggregated, and macro to micro. The results can visualize planning support in general solutions to specific adjustments of some public goods. Covid 19- suitable indicator schemes can design in isolated areas. Targets are how population aggregation and household mobilities in rural areas are affected by these planning policies. We believe action research improvements will employ a practical future on big data and artificial intelligence. Keyword: Spatial Planning, GIS, Decision Making
PELATIHAN SISTEM PEMANTAUAN ENERGI CERDAS BERBASIS TEKNOLOGI IoT DI SEKOLAH MENENGAH KEJURUAN Estananto, Estananto; Afifah, Khilda; Rendra, Meldi; Harimurti, Suksmandhira
JMM (Jurnal Masyarakat Mandiri) Vol 9, No 4 (2025): Agustus
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v9i4.32970

Abstract

Abstrak: Dalam rangka menjamin ketersediaan energi dan menjaga kelestarian lingkungan, penerapan energi bersih dan berkelanjutan (sustainable) adalah isu yang sangat penting. Manajemen penggunaan energi yang efisien harus diperkenalkan kepada generasi muda sedini mungkin. Tujuan kegiatan ini adalah untuk meningkatkan pemahaman siswa mengenai teknologi pemantauan energi pintar dan kesadaran mereka tentang efisiensi energi. Metode kegiatan yang digunakan adalah penjelasan teori dan praktik perakitan sistem berbasiskan teknologi IoT. Peserta kegiatan ini adalah siswa menengah kejuruan Program Keahlian Teknik Instalasi Tenaga Listrik. Karenanya, materi pelatihan ini sangat lah penting untuk mendukung bidang keahlian mereka dalam dunia kerja nantinya. Sistem evaluasi yang digunakan adalah survei dengan 11 pertanyaan dalam bentuk angket yang diisi oleh para peserta di akhir sesi pelatihan. Berdasarkan hasil evaluasi, sekitar 89% peserta menyatakan "setuju" atau "sangat setuju" bahwa mereka senang dan berminat untuk mempelajari lebih lanjut tentang teknologi sistem pemantauan energi cerdas berbasiskan IoT. Dengan pelatihan ini, diharapkan tingkat kesadaran siswa menengah kejuruan mengenai efisiensi energi menggunakan sistem pemantauan energi pintar dapat meningkat sehingga mereka lebih siap menghadapi Revolusi Industri 4.0 pada dunia kerja nantinya.Abstract: To ensure energy availability and maintain environmental sustainability, the implementation of clean and sustainable energy is a crucial issue. Efficient energy management must be introduced and educated to the younger generation at the earliest possible period. The objective of this activity is to enhance students' understanding of smart energy monitoring technology and their awareness of energy efficiency. The methods used in this activity are theoretical explanations and practical sessions on assembling IoT systems. The participants of this activity were students from the Electrical Power Installation Vocational Program. The evaluation system employed was a survey with 11 questions, which participants completed at the end of the training. Based on the evaluation results, approximately 89% of participants stated that they "agreed" or "strongly agreed" that they were pleased and interested in learning more about Smart Energy Monitoring System based on IoT technology. It is hoped that this training will increase the awareness of the students regarding energy efficiency using smart energy monitoring systems, thus better preparing them to face the Industrial Revolution 4.0.
Sosialisasi Teknologi Kecerdasan Buatan Untuk Mengenalis Jenis Sayur dan Buah Secara Otomatis Di Badan Perakitan Dan Moderinisasi Pertanian (BRMP) Sayuran Lembang Suksmandhira Harimurti; Meldi Rendra; Khilda Afifah; Rafhan Mazaya; Fathurrahman; Ervan Fahri Ardiansyah Wahab; Estananto
The Proceeding of Community Service and Engagement (COSECANT) Seminar Vol. 5 No. 2 (2025): Prosiding COSECANT : Community Service and Engagement Seminar
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cosecant.v5i2.10360

Abstract

Badan Perakitan dan Modernisasi Pertanian (BRMP) Sayuran memiliki tugas strategis dalam perekayasaan, perakitan, dan pengujian tanaman sayuran. Salah satu tantangan utama yang dihadapi adalah proses klasifikasi produk hortikultura yang masih manual, memakan waktu, dan rentan terhadap inkonsistensi, terutama dengan meningkatnya jumlah varietas unggul. Untuk mengatasi masalah ini, kegiatan pengabdian kepada masyarakat ini bertujuan merancang dan mensosialisasikan sistem pengenalan produk hortikultura otomatis berbasis teknik machine learning yang terjangkau. Metodologi yang digunakan meliputi studi literatur, perancangan prototipe menggunakan mikrokontroler ESP32-CAM dan platform Edge Impulse Studio, serta pengujian sistem. Sistem ini dirancang untuk melakukan klasifikasi gambar secara real-time, yang ke depannya dapat dikembangkan untuk mendeteksi cacat produk. Temuan awal dari perancangan ini menunjukkan bahwa implementasi teknologi TinyML sangat potensial untuk diterapkan di lingkungan BRMP karena biaya rendah dan kemudahan operasional. Orisinalitas kegiatan ini terletak pada penerapan solusi edge computing yang spesifik untuk kebutuhan klasifikasi produk hortikultura di lembaga pemerintah. Diharapkan implementasi sistem ini dapat meningkatkan efisiensi operasional, mendukung standardisasi mutu, dan mempersiapkan BRMP dalam menghadapi era pertanian modern yang berbasis kecerdasan buatan