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All Journal Jurnal Sains dan Teknologi Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Jurnal Elementer (Elektro dan Mesin Terapan) JMM (Jurnal Masyarakat Mandiri) JURIKOM (Jurnal Riset Komputer) Eksakta : Berkala Ilmiah Bidang MIPA TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika JMECS (Journal of Measurements, Electronics, Communications, and Systems) Jurnal Elektra Charity : Jurnal Pengabdian Masyarakat Prosiding Konferensi Nasional PKM-CSR Green Intelligent Systems and Applications eProceedings of Engineering PESARE: Science and Engineering Service Journal Proceeding of Community Service and Engagement
Estananto
Universitas Telkom
Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Public Health Social Sciences Other

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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.
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
Perancangan Dan Implementasi Maximum Power Point Tracking Pada Fotovoltaik Menggunakan Buck Boost Converter Dengan Algoritma Perturb Observe Tyas, Muhammad Yudith; Susanto, Erwin; Estananto
eProceedings of Engineering Vol. 12 No. 5 (2025): Oktober 2025
Publisher : eProceedings of Engineering

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Abstract

Energi surya merupakan salah satu sumberenergi terbarukan yang potensinya sangat besar di Indonesia,namun efisiensi panel surya masih relatif rendah akibatpengaruh intensitas cahaya dan temperatur. Penelitian inibertujuan merancang dan mengimplementasikan sistemMaximum Power Point Tracking (MPPT) menggunakankonverter DC-DC buck-boost dengan algoritma Perturb andObserve (P&O) untuk mengoptimalkan daya keluaran panelsurya. Sistem diuji menggunakan modul panel surya 100 Wpdengan pengujian pada kondisi radiasi maksimum tanpamempertimbangkan orientasi panel. Algoritma P&O bekerjadengan mengatur duty cycle konverter untuk menjaga titikoperasi pada daya maksimum. Hasil pengujian menunjukkanbahwa konverter dapat beroperasi pada mode buck saat dutycycle di bawah 50% dan mode boost saat duty cycle di atas 50%.Tanpa algoritma MPPT, rata-rata efisiensi sistem sebesar65,11%, sedangkan penerapan algoritma P&O meningkatkanefisiensi menjadi 68,89%, atau terjadi peningkatan sebesar3,78%. Dengan demikian, penerapan algoritma P&O terbuktiefektif meningkatkan efisiensi sistem PV berbasis buck-boostconverter.Kata kunci— Panel Surya, MPPT, Buck Boost, Perturb andObserve
Sistem Pendeteksi Premature Ventricular Contraction Berbasis K-Nearest Neighbors Menggunakan Elektrokardiograf Portabel Baihaqi, Zaidan Fitra; Estananto; Murti, Muhammad Ary
eProceedings of Engineering Vol. 12 No. 5 (2025): Oktober 2025
Publisher : eProceedings of Engineering

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Abstract

Premature Ventricular Contraction (PVC) merupakan jenis aritmia yang ditandai dengan kompleks QRS yang melebar lebih dari 120 ms tanpa disertai gelombang P. Penelitian ini bertujuan mengembangkan sistem portabel untuk merekam sinyal EKG dan menerapkan algoritma K-Nearest Neighbors (KNN) guna mendeteksi PVC. Sistem dirancang menggunakan sensor ADS1293 dan mikrokontroler ESP32 yang mengirimkan data EKG ke aplikasi mobile untuk dianalisis. Hasil pengujian menunjukkan sinyal EKG yang terekam memiliki kualitas baik dan heart rate yang sesuai dengan alat referensi. Model KNN yang dilatih menggunakan data MIT-BIH menghasilkan akurasi 92,85% dan F1-score 0,93. Sistem juga berhasil diterapkan pada aplikasi mobile untuk memvisualisasikan hasil deteksi. Meskipun belum divalidasi secara klinis, sistem ini telah berfungsi sesuai tujuan dan dapat dikembangkan lebih lanjut untuk klasifikasi secara real-time. Kata kunci— Elektrokardiogram (EKG), Aritmia, Premature Ventricular Contraction (PVC), K-Nearest Neigbors (KNN)
Sistem Pendeteksi Fibrilasi Atrium Berbasis Convolutional Neural Network (CNN) Menggunakan EKG Portable Angela, Fallerina Ribka; Estananto; Murti, Muhammad Ary
eProceedings of Engineering Vol. 12 No. 5 (2025): Oktober 2025
Publisher : eProceedings of Engineering

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Abstract

Fibrilasi atrium merupakan salah satu jenis aritmia yang ditandai dengan aktivitas listrik jantung yang cepat dan tidak teratur, serta berpotensi meningkatkan risiko stroke dan gagal jantung jika tidak terdeteksi secara dini. Penelitian ini bertujuan untuk merancang dan mengembangkan sistem pendeteksi fibrilasi atrium berbasis Convolutional Neural Network (CNN) yang terintegrasi dengan perangkat EKG portabel. Sistem ini menggunakan tiga elektroda untuk merekam sinyal listrik jantung, yang kemudian dikirimkan ke aplikasi mobile melalui mikrokontroler ESP32. Data sinyal EKG dan fitur RR interval yang diterima akan diproses menggunakan model CNN untuk mengklasifikasikan kondisi jantung sebagai “normal” atau “fibrilasi atrium”. Model CNN yang dikembangkan berhasil mencapai akurasi sebesar 99,48% dan F1-Score sebesar 97,80%, menunjukkan performa klasifikasi yang sangat baik. Aplikasi mobile juga dirancang untuk menampilkan sinyal EKG, nilai detak jantung (BPM), dan hasil klasifikasi secara real-time. Hasil penelitian menunjukkan bahwa sistem ini mampu memberikan solusi yang efektif dan efisien dalam melakukan pemantauan jantung secara mandiri dan deteksi dini fibrilasi atrium. Kata kunci— fibrilasi atrium, sinyal EKG, CNN, ESP32, perangkat portabel
Design of Compact, Low-cost Electrochemical Electronic Reader (Potentiostat) for Chemical Compound Analysis Harimurti, Suksmandhira; Gamalyn, Irene Maria; Johan, Tengku Abdurrazak; Septian, M. Rivaldi Ali; Anshori, Isa; Estananto, Estananto
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 13, No 4: December 2025
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v13i4.7027

Abstract

The development of low-cost electrochemical electronic reader (potentiostat) has been vastly growing recently since it could serve as a rapid chemical compound detection. Nevertheless, the realization of a low-cost potentiostat, having a compact size and providing multi-feature, is challenging. Here, a compact, low-cost potentiostat, supporting multi electrochemical methods was demonstrated. The total dimension was (10.8 x 4.6 x 3.5) cm3 with the weight of only 75.6 g. By using 16-bit analog-to-digital converter (ADC) and 12-bit digital-to-analog converter (DAC) components, the potentiostat facilitated a current input range of ±580 µA with a resolution of 23.5 nA and a voltage sweep range of ±1.5 V with a resolution of 800 µV. For the electrochemical measurement, it supported cyclic voltammetry (CV) and differential pulse voltammetry (DPV) methods. Furthermore, in comparison with a commercial potentiostat (Sensit Smart), the potentiostat showcased a good accuracy performance. In detail, the average relative accuracy of the CV method test was 91% and 95% for the anodic (Ianodic) and cathodic peak currents (Icathodic), respectively. For DPV method, the lowest relative accuracy of the peak current (Ipeak) was still 83%. These results demonstrated that our potentiostat could promisingly be utilized for chemical compound detection in low-cost setting or rural areas.
VOCATIONAL AND MANAGERIAL SKILLS TO SUPPORT SME GROWTH IN GREEN LANDSCAPES: A SYSTEMIC APPROACH Meldi Rendra; Estananto Estananto
The Proceeding of Community Service and Engagement (COSECANT) Seminar Vol. 3 No. 1 (2023): Prosiding COSECANT : Community Service and Engagement Seminar
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cosecant.v3i1.7084

Abstract

Economies in the Tasikmalaya Residences are naturally engaged in a proactive community to shift SMEs' productivity. It is a significant shift from past business culture focused on relatively strategic commodities and markets. An essential cultural factor behind the enterprise shift has been the boosting growth to generate mixed products and more and better vocational and managerial skills. The engineering service was conducted in a multi-functional tools workshop to manufacture the raw agricultural material for the finished food product. The program to increase micro-skills in vocational and managerial quality is conducted. The result is a quality of daily accounts, industrial standards, and modern trade procedures.
Pelatihan Smart Home berbasiskan IoT di SMKN 8 Bandung sebagai Pengenalan Teknologi Elektronika yang Mendukung Energi yang Berkelanjutan Estananto; Khilda Afifah; Suksmandhira Harimurti; Meldi Rendra
The Proceeding of Community Service and Engagement (COSECANT) Seminar Vol. 4 No. 2 (2024): The Proceeding of Community Service and Engagement (COSECANT) Seminar
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cosecant.v4i2.8529

Abstract

Kebutuhan akan penerapan energi yang berkelanjutan sangatlah penting dalam menjamin ketersediaan energi dan menjaga kelestarian lingkungan. Dalam menjawab kebutuhan tersebut, manajemen penggunaan energi yang efisien menjadi langkah yang sangat penting dan perlu diedukasikan kepada generasi muda sedini mungkin. Pada program pengabdian masyarakat ini, dilakukan kegiatan workshop mengenai sistem smart home terhadap siswa SMK 8 Bandung Prodi Teknik Pemanasan Tata Udara dan Pendinginan (TPTUP). Para siswa tidak asing dengan implementasi sistem perangkat elektronik bertegangan tinggi. Namun, belum mendapatkan materi mengenai kontrol otomatis perangkat-perangkat elektronik melalui konektivitas internet. Dari pelaksanaan workshop dan pengambilan data survei, para siswa dapat memahami dengan baik mengenai teknologi smart home dan sangat berminat untuk mempelajari teknologi tersebut secara lebih mendalam. Karenanya, dengan diadakannya workshop ini, tingkat kesadaran siswa dan juga guru SMK terhadap efisiensi energi menggunakan teknologi smart home menjadi lebih meningkat sehingga para siswa dapat lebih siap dalam menghadapi Revolusi Industri 4.0 pada dunia kerja nantinya.
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
Co-Authors 1Geba Wirarahman Achmad Rizal Adytia Lukman Hakim Agus Rusdinar Ahmad Anan Rafsanjani Ali Sanad Ananda Risya Triani Andi Aswin Angela, Fallerina Ribka Angga Rusdinar Anshori, Isa Azhar Sukarna Putra Baihaqi, Zaidan Fitra Basuki Rahmat Bayu Surya Mandala Bill Josef Stepanus Simanjuntak Defi Zeila Harfi Deri Reyhan Ekki Kurniawan Eky Yuliansyah Erna Frida Ervan Fahri Ardiansyah Wahab Erwin Susanto Faisal Budiman Fajri Fajri Fajri Hakimi Anas Fareza Rizky Ramadhan Fathurrahman Febry Anugrah Ramadhany Susanto Fernando Hasudungan Fiky Y. Suratman Gamalyn, Irene Maria I Gede Nyoman Agus Yuda Swambara I Ketut Agung Enriko Ibnu Waldy Ima Dewi Arofani Iswahyudi Hidayat Johan, Tengku Abdurrazak Junartho Halomoan Khairul Anas Khilda Afifah Luthfi Bagus Pratama M Amin Haris M Rivaldi Ali Septian Maulana Ariandy Meldi Rendra Miftahul Fiqri Mohamad Ramdhani Mohammad Ramdani Muhammad Aditya Nugroho Muhammad Anwar Mujahidin Muhammad Arif Wicaksono Muhammad Ary Murti Muhammad Dani Fardiansyah Muhammad Farhan Muhammad Jundi Arrofi Muhammad Putra Perdana Fahrudin Muhammad Ridho Rosa Muhammmad Ikhlas Novi Prihatiningrum Nurry Eko Priyanto Pinto Akbar Porman Pangaribuan Puspa Darmira Putri Ghina Khusnul Fuadah Putri Ghina Khusnul Fuadah R Rezza Rahadian Rafhan Mazaya Rahmat Faisal Wahyudi Ramdhan Nugraha Rifqi Ramadhan Rita Magdalena Rita Purnamasari Ryan Anugrah Putra Sigit Yuwono Sony Sumaryo Suksmandhira Harimurti Syahrul Humaidi, Syahrul Syarafina Nurshadrina Putri Taufik Yumna Theo Chandra Kusuma Tyas, Muhammad Yudith Waldy, Ibnu Widitama Salman