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All Journal Electro Luceat Prosiding Seminar Nasional Teknoka JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Media Aplikom Journal of Telecommunication, Electronics and Control Engineering (JTECE) INCODING: Journal of Informatics and Computer Science Engineering Inovasi Pendidikan Fisika Jurnal Teknik Mesin, Industri, Elektro dan Informatika Jurnal Elektronika dan Teknik Informatika Terapan International Journal of Technology and Education Research Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK)
mahendra, christy
Sekolah Tinggi Ilmu Komputer (STIKOM) Yos Sudarso Purwokerto
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Physics Social Sciences Other

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Pengukuran Kualitas Pengalaman Pengguna dan Ketepatan Diagnosa Sistem Pakar untuk Penyakit Ikan Nila Berbasis Android Christy Mahendra; Putu Samuel Prihatmajaya; Suyudi; Eduardus Gerry Henri; Agnes Florentina Santoso; Jonathan Briant Wijaya
Prosiding Vol 7 No 1 (2025): SNISTEK
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/psnistek.v7i1.10739

Abstract

This study aims to evaluate the user experience quality and diagnostic accuracy of an Android-based expert system application developed to assist in diagnosing diseases in tilapia fish. The evaluation employed the User Experience Questionnaire (UEQ) and the Certainty Factor (CF) approach. UEQ results indicate that the application delivers a highly satisfying user experience, with the highest scores on stimulation (1.68) and attractiveness (1.60), both categorized as Excellent. These results suggest that the application provides an engaging and enjoyable interactive experience. Other dimensions such as clarity (1.34), efficiency (1.37), accuracy (1.18), and novelty (1.20) fall into the Good category, indicating the system is intuitive, functional, and reliable, though there is still room for improvement.In terms of expert system performance, the Certainty Factor method successfully delivered relevant diagnostic results. Tricodiniasis emerged as the primary diagnosis with 100% confidence based on the user's selected symptoms. However, the appearance of several other diseases with similarly high confidence scores indicates the existence of overlapping symptoms across different conditions. This highlights the importance of using probabilistic approaches to manage uncertainty in disease diagnosis. Overall, the application demonstrates strong performance in user interface design, user interaction, and expert system accuracy, making it suitable as a supporting tool for diagnosing tilapia fish diseases
Sistem Monitoring dan Controlling “Smart Waste” Berbasis Internet of Things Menggunakan Modul ESP 32 Lianawati, Yosita; Mahendra, Christy; Sugianto, Gerson Manuel; Mendrofa, Syukur Jaya; Setiani, Angelica Lulu; Baraga, Bernarditus Yordan
Journal of Telecommunication Electronics and Control Engineering (JTECE) Vol 6 No 2 (2024): Journal of Telecommunication, Electronics, and Control Engineering (JTECE)
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/jtece.v6i2.1400

Abstract

Sampah semakin meningkat setiap hari, dan pengolahan sampah masih merupakan proses yang membutuhkan waktu yang lama dan seringkali menjadi sumber penyakit. Melalui perkembangan teknologi penulis membuat sebuah inovasi untuk penanganan sampah dengan Internet of Things untuk melakukan monitoring dan controlling untuk memilah sampah berdasarkan kategori sampah organic dan sampah plastik. Hasil dari pemilahan sampah tersebut akan dimasukkan ke proses pencacahan sampah dan menghasilkan bahan mentah pupuk dari hasil pencacahan sampah organic dan biji plastik dari hasil pencacahan sampah plastic. Pengguna dapat melakukan controlling dan akan mendapatkan hasil notifikasi jika tempat penyimpanan pencacahan sudah mencapai berat lebih dari 4 kg melalui aplikasi Whatsapp. pengujian Sistem Monitoring dan Controlling “Smart waste” berbasis Internet of Things menggunakan modul ESP 32 dilakukan sebanyak 30x percobaan dan mendapatkan hasil keberhasilan sebesar 86,67%.
Penerapan E-Commerce untuk Pemasaran Pertanian: Evaluasi Usability, Pengalaman Pengguna, dan Dampak Positif "Gawosa Shop" Mahendra, Christy; Lianawati, Yosita; Wicaksono, Wilibrodus Megandika; Wijaya, Jonathan Briant; Santosa, Agnes Florentina; Kinanti, Maria Putri
Prosiding Seminar Nasional Teknoka Vol 10 (2025): Proceeding of TEKNOKA National Seminar - 10
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

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Abstract

Farmers in Gumiwang Village face significant challenges in marketing their harvests. To address this issue, the "Gawosa Shop" e-commerce platform was developed. This study evaluates the platform's usability, user experience (UX), and its impact on sales. Interface testing using the System Usability Scale (SUS) yielded an average score of 83.92, which is categorized as "Excellent." User Experience Questionnaire (UEQ) testing, which assessed six components (Attractiveness, Perspicuity, Efficiency, Dependability, Stimulation, and Novelty), showed results ranging from Good to Excellent. During the implementation period from October 1 to November 5, 2025, Gawosa Shop successfully increased revenue by 21.2% and the total number of orders by 116.7%. These findings indicate that Gawosa Shop is effective, well-received by its users, and provides a positive economic impact for the farmers in Gumiwang Village.
Kalibrasi dan Validasi Sensor pH E-201C-Blue dan TDS Meter V1 pada Sistem Hidroponik Otomatis Berbasis IoT di Aswana Hidroponik Rahardjo, Mikha El Charisto; Baraga, Bernaditus Yordan; Joyopranoto, Vincensius Agung Wibowo; Mahendra, Christy
Prosiding Seminar Nasional Teknoka Vol 10 (2025): Proceeding of TEKNOKA National Seminar - 10
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

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Abstract

This study aims to calibrate and validate the pH E-201C-Blue sensor and TDS Meter V1 implemented in an IoT-based automatic hydroponic system at Aswana Hydroponic, Purwokerto. The calibration process was carried out using a multi-point method with standard buffer solutions (pH 4, 7, and 10) and TDS solutions ranging from 500 to 1500 ppm to achieve optimal accuracy. An ESP32 microcontroller was used as the main controller and data transmitter to a cloud-based monitoring dashboard. The results showed that after calibration, the sensor achieved high accuracy with a correlation coefficient (R2) above 0.98 and an average error below 5%. These findings indicate that low-cost commercial sensors can provide reliable performance in automated hydroponic system, supporting time efficiency and improving crop productivity at Aswana Hydroponic, Purwokerto.
Otomatisasi Pengatur pH dan Nutrisi pada Tanaman Hidroponik Berbasis Internet of Things di Aswana Hidroponik Joyopranoto, Vincensius Agung Wibowo; Baraga, Bernaditus Yordan; Rahardjo, Mikha El Charisto; Mahendra, Christy; Lianawati, Yosita
Prosiding Seminar Nasional Teknoka Vol 10 (2025): Proceeding of TEKNOKA National Seminar - 10
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

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

Abstract

This study discusses the design of an automated pH and nutrient control system for hydroponic plants based on the Internet of Things (IoT). The objective of this study to develop a system capable of reading solution conditions and sending data in real time through an IoT platform to facilitate monitoring without manual intervention. The system is designed using an ESP32 microcontroller as the control center, a pH sensor, a TDS meter sensor, and a peristaltic pump for the solution injection process. The sensor reading data is sent to the IoT server using the Blynk platform. The test results show that system is capable of sending valid and consistent pH and TDS data to the Blynk dashboard with an accuracy level ±98%, making it easier for users to monitor the condition of the nutrient solution remotely. This research is the first step towards an efficient and integrated automatic hydroponic control system.
Co-Authors Agnes Florentina Santoso Akhiles Shyantica Wisnumurti Altech Octaviaus Angelica Lulu Setiani Annawati, Bergitta Dwi Baraga, Bernaditus Yordan Baraga, Bernarditus Yordan Brigita Maila Feriyani Wensen Eduardus Gerry Henri Endang Setyawati Fransiska Delsiana Gerson Manuel Sugianto Hengky Wijaya Jonathan Brian Wijaya Jonathan Briant Wijaya Joyopranoto, Vincensius Agung Wibowo Kinanti, Maria Putri Mardi Utomo, Vinsensius Alvianto Mendrofa, Syukur Jaya Mili, Wilson Nasumi Paath, David Kritian Putu Samuel Prihatmajaya Rahardjo, Mikha El Charisto Romanus Edy Prabowo Rosalina Yani Santosa, Agnes Florentina Setiani, Angelica Lulu Sugianto, Gerson Manuel Suyudi Wicaksono, Wilibrodus Megandika Wijaya, Jonathan Briant Yosita Lianawati