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All Journal ELKHA : Jurnal Teknik Elektro InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal SOLMA Rang Teknik Journal SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Journal of Computer Networks, Architecture and High Performance Computing Jurnal Pengabdian Masyarakat Ilmu Terapan (JPMIT) Jurnal Pustaka Data : Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer Journal of Innovation Research and Knowledge JUPADAI : Jurnal Pengabdian Kepada Masyarakat Jurnal Desain dan Analisis Teknologi Jurnal Pengabdian Barelang Jurnal Quancom: Jurnal Quantum Komputer Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) The Indonesian Journal of Computer Science Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK)
candra, joni eka
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Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Penerapan Mesin Pencacah Sampah Berbasis IoT dan Energi Surya di Pulau Buluh: Teknologi Cerdas untuk Solusi Lingkungan yang Berkelanjutan Lawi, Ansarullah; Dermawan, Aulia Agung; Candra, Joni Eka
Jurnal SOLMA Vol. 15 No. 1 (2026)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v15i1.21158

Abstract

Background: Buluh Island, one of Batam City’s coastal islands, faces a serious challenge in plastic waste management. Approximately two tons of waste are generated every four hours, but limited waste processing facilities result in most waste being burned or dumped into the sea, polluting the ecosystem and reducing fish catches. This threatens the economic sustainability of local communities, most of whom are fishermen. Method: This community service program provides a solution by implementing an Internet of Things (IoT)-based plastic shredder powered by solar panels. The technology is designed to operate independently from the conventional electricity grid and enables real-time monitoring via the Blynk application. The shredded plastic is then processed into economically valuable products such as paving blocks and handicrafts, supporting a circular economy. The community was actively involved in planning, installation, training, and machine maintenance, with the Buluh Island Waste Bank as the main partner. Results: The results show a reduction in plastic waste accumulation, increased community awareness of waste segregation, and key outcomes, including machine installation, training, media coverage, video documentation, and a draft journal publication. Conclusion: There is limited access to spare engine components and dependence on weather conditions for solar energy availability.
Pemupukan Otomatis Tenaga Surya untuk Pertanian Cerdas Candra, Joni Eka; Hazimah, Hazimah; Alhamidi, Alhamidi; Aritonang, Mohammad Adi Setiawan
Jurnal SOLMA Vol. 15 No. 1 (2026)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v15i1.21184

Abstract

Pendahuluan: Sektor pertanian berperan strategis dalam mendukung ketahanan pangan nasional, termasuk di wilayah pesisir Kampung Tua Teluk Lengung, Batam, yang memiliki potensi pengembangan hortikultura. Namun, praktik pertanian di wilayah ini masih didominasi metode konvensional dengan keterbatasan tenaga kerja dan akses listrik, sehingga efisiensi pemupukan dan produktivitas belum optimal. Studi ini bertujuan untuk mengimplementasikan sistem pemupukan otomatis berbasis sensor dan mikrokontroler yang ditenagai Pembangkit Listrik Tenaga Surya (PLTS) untuk meningkatkan efisiensi dan hasil produksi pertanian. Metode: Perancangan, instalasi, dan pendampingan penggunaan sistem pemupukan otomatis berbasis sensor kelembapan tanah dengan kendali mikrokontroler terintegrasi energi surya. Hasil: Adanya peningkatan efisiensi penggunaan pupuk sebesar ±30%, pengurangan kebutuhan tenaga kerja hingga ±40%, serta peningkatan hasil panen rata-rata sebesar ±25% dibandingkan metode konvensional. Kesimpulan: Kegiatan ini mendukung penerapan pertanian cerdas berbasis energi terbarukan dan berkontribusi terhadap peningkatan kesejahteraan masyarakat pesisir secara berkelanjutan, sejalan dengan SDGs poin 1, 2, 8, dan 14.
Penerapan Sensor Warna Gy-31 Sebagai Alat Bantu Tuna Netra Untuk Mengenali Uang Kertas Rupiah Berbasis Arduino Joni Eka Candra; Ade Firmanto; Burhan, Rifaatul Mahmudah
The Indonesian Journal of Computer Science Vol. 12 No. 5 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i5.3420

Abstract

Money is a common means of buying and selling transactions in use around the world. Most human needs can be obtained by using money. Because of the huge human need for money, many irresponsible parties use it to produce and distribute counterfeit money. A blind person has difficulty in reading and distinguishes between real money and counterfeit money. Required a tool that can help blind people to solve this problem. Rupiah money have a color difference on every nominal and hidden image that will glow if irradiated with ultra violet. It can be used to read nominal and authenticity. With Arduino microcontroller that combine with GY-31 color sensor and BH1750 light sensor can be used to create tool that will help the blind people to read and distinguish real money and counterfeit money. This tool is expected blind people will be spared from fraud related to counterfeit money and miss-reading the nominal.
Penerapan Logika Fuzzy Untuk Analisis Tingkat Kepuasan Layanan Pelabuhan Domestik Sekupang Kota Batam Joni Eka Candra; Noviardi, Refli; Eko Prasetyo, Stefanus; Burhan, Rifa’atul M.; Rushadi
The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i6.3558

Abstract

Penelitian ini bertujuan untuk menganalisis dan mengetahui seberapa besar pengaruh tingkat layanan yang diberikan terhadap respon kepuasan bagi para penumpang kapal di pelabuhan domestik Sekupang kota Batam. Dalam kelancaran penelitian ini digunakan metode studi kepustakaan, observasi, dan penyebaran kuesioner dengan menggunakan skala likert, serta metode fuzzy. Berdasarkan analisis dan pembahasan yang dilakukan terhadap 50 orang responden, dengan metode skala likert responden menyatakan cukup puas. Ini berarti pelabuhan sekupang Kota Batam, cukup berhasil memberikan layanan yang terbaik atau cukup memuaskan kepada para penumpang, baik dari Dimensi Kehandalan, Dimensi Daya Tanggap, Dimensi Kepastian, Dimensi Empati dan Dimensi Berwujud secara keseluruhan konsumen merasa cukup puas, dengan rata-rata presentase sebesar 71 % (35,5 dari 50 responden). Tidak jauh berbeda dengan hasil uji coba Fuzzy Logic metode Mamdani dilihat dari hasil nilai output untuk kepuasan konsumen sebesar 150 (dengan range 50-250) yang artinya tingkat kepuasan konsumen cukup puas akan pelayanan yang diberikan oleh Pelabuhan Sekupang Kota Batam.
Penerapan Algoritma Deep Learning Pada Chatbot Untuk Pelayanan Informasi Website Institut Teknologi Batam Menggunakan Metode Long Short Term Memory Budi Prasetio; Luki Hernando; Joni Eka Candra; Muhammad Jufri
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 4 No. 1 (2026): Juni 2026
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/j5fawr38

Abstract

In the current digital era, information plays an important role in various sectors, including information services in higher education. To handle repetitive questions that are often asked by p        rospective new students to academics or campus marketing, chatbots that utilize Artificial Intelligence (AI) technology and natural language processing are an efficient solution. This research aims to implement deep learning algorithms, especially the Long Short-Term Memory (LSTM) method, on chatbots to improve information services on the Batam Institute of Technology (ITEBA) website. The chatbot was developed using the Python programming language and the Flask framework, creating a well-integrated web interface and supported by the necessary deep learning libraries. The evaluation results show that the LSTM model is able to consistently reduce loss values ​​and increase accuracy, with loss values ​​reaching 63% and accuracy reaching 85%. This reflects excellent performance and generalization ability. Further testing revealed that the chatbot had significant capabilities in understanding and responding to various user questions with high accuracy and relevant answers. This chatbot not only increases efficiency and accuracy in information services, but also provides a better experience for prospective students and other users, and significantly optimizes the information service process at the Batam Institute of Technology.  
Rancang Bangun Smart Pot Berbasis Internet Of Things (IoT) Armando Mendoza Putra; Joni Eka Candra; Luki Hernando
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 4 No. 1 (2026): Juni 2026
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/3zdgpt37

Abstract

The Internet of Things (IoT) has the potential to transform the agriculture industry by increasing the efficiency of using resources such as water and fertilizer. Common problems in agriculture, such as water scarcity or excess, can be solved with an automated system that measures soil moisture and adjusts watering according to crop needs. In this study, researchers proposed an automated monitoring and watering system utilizing the Blynk platform and Internet of Things (IoT) technology. This system allows real-time monitoring of plant conditions through Capacitive soil sensor and DHT 11 sensor. The collected data will be processed by ESP8266 NodeMCU to regulate the automatic watering process with smart irrigation that is automatically adjusted to the needs of plants. Through the Blynk app, users can monitor and control the system remotely, improving efficiency and optimal care for plants. Thus, this system provides a solution for those who have limited time or unwillingness to care for plants conventionally.
Implementasi Teknologi Bare Conductive pada Smart Piano Aritonang, Mhd Adi Setiawan; Candra, Joni Eka; Caniago, Deosa Putra; Alhamidi, Alhamidi; Antony, Antony
Jurnal Pustaka Data (Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer) Vol 5 No 1 (2025): Jurnal Pustaka Data (Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitekt
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakadata.v5i1.948

Abstract

Penelitian ini bertujuan untuk mengembangkan dan menguji implementasi teknologi Bare Conductive pada smart piano. Bare Conductive adalah teknologi inovatif yang memanfaatkan tinta konduktif untuk menciptakan sirkuit listrik pada berbagai permukaan, memungkinkan pembuatan sensor sentuh yang fleksibel. Dengan mengintegrasikan teknologi ini dengan mikrokontroler, seperti Arduino, kami menciptakan smart piano yang interaktif dan ramah pengguna. Smart piano yang dihasilkan menawarkan berbagai manfaat, terutama dalam konteks pendidikan musik. Instrumen ini dapat memberikan pengalaman belajar yang lebih menarik dan efektif bagi pemula, serta membuka peluang baru dalam terapi musik dan komposisi musik digital. Selain itu, penggunaan tinta konduktif menawarkan solusi yang lebih hemat biaya dan ramah lingkungan dibandingkan dengan teknologi elektronik konvensional. Dalam penelitian ini, kami merancang dan membangun prototipe smart piano berbasis teknologi Bare Conductive dan mikrokontroler. Kami kemudian melakukan serangkaian pengujian untuk mengevaluasi kinerja dan keandalannya. Hasil pengujian menunjukkan bahwa smart piano ini memiliki respon sentuhan yang baik dan stabil dalam berbagai kondisi penggunaan. Namun, tantangan tetap ada, seperti kestabilan jangka panjang dari sirkuit tinta konduktif dan kompatibilitas dengan komponen elektronik lainnya. Penelitian ini memberikan wawasan berharga mengenai potensi dan batasan teknologi Bare Conductive dalam aplikasi musik interaktif, serta membuka jalan untuk penelitian lebih lanjut dalam pengembangan instrumen musik pintar.
Co-Authors Abrar, Mohammad Masril Ade Firmanto Algifanri Maulana Algifanri Maulana, Algifanri Alhamidi, Alhamidi Alvendo Wahyu Aranski Antony, Antony Aritonang, Mohammad Adi Setiawan arman arman Armando Mendoza Putra Aulia Agung Dermawan Beda, Nadjamudin Budi Prasetio Burhan, Rifaatul Mahmudah Burhan, Rifatul Mahmudah Burhan, Rifa’atul M. Caniago, Deosa Putra Dedi Setiawan Deslika, Deslika Devikaduri, Laras Dika, Andika Zahrah Ramadhanti Dimas Akmarul Putera Fidya Farasalsabila Handayani, Vitri Aprilla Hani Sulistyaningrum Hazimah , Hazimah Hazimah, Hazimah Hendri Kremer Hernando, Luki Hotma Pangaribuan Husada, Rahmadi Jabnabillah, Faradiba Karnadi, Very Kevin Kremer, Hendri Kurnia, Okki Lawi, Ansarullah M. Ansyar Bora Maranti Nainggolan Mhd Adi Setiawan Aritonang Mohammad Jufri Muhammad Abrar Masril Muhammad Jufri Muhammad Jufri munir, Zainul Munir Nadia Widari Nasution Nadjamudin Noviardi, Refli Nurul Ilmi Prasetyo, Moch. Farid Eko Prasetyo, Stefanus Eko Realize, Realize Rianoktawanto, Rianoktawanto Rifa Rifaatul Mahmudah Burhan Ririt Dwiputri Permatasari Risky Sandiari Roland, Roland Rushadi Sadiq Ardo Wibowo, Sadiq Ardo Septiana, Reski Shilah, Nur Simatupang, Devid Trinaldo Steve, Jorvick Suharyanto, Cosmas Eko Syafrianto , Hendra Tuto Bakang, Clarita Very Karnadi Very Karnady Widya Reza Zainul Efendy