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All Journal EKSAKTA: Journal of Sciences and Data Analysis Jurnal Sains Materi Indonesia Jurnal Bahan Alam Terbarukan Jurnal Sumberdaya Alam dan Lingkungan Journal of Applied Information, Communication and Technology (JAICT) Jurnal Penelitian Pendidikan IPA (JPPIPA) Civil Engineering Journal Indonesian Journal of Chemistry Jurnal Inovator Jurnal Ilmiah Mandala Education (JIME) Jurnal Teknik Kimia ASEAN Journal of Chemical Engineering Kinetika Jurnal Pendidikan dan Teknologi Indonesia Jurnal Pengabdian Masyarakat Indonesia AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) International Journal of Research in Vocational Studies (IJRVOCAS) Chemical Engineering Journal Storage (CEJS) Makara Journal of Science Makara Journal of Technology ENGAGEMENT: Jurnal Pengabdian Masyarakat Innovative: Journal Of Social Science Research Riwayat: Educational Journal of History and Humanities Jurnal Pengabdian Sosial Journal Serambi Engineering (JSE) Jurnal Sains Materi Indonesia Jurnal Teknologi Riset Terapan
Abu Hasan
Chemical Engineering Department-State Polytechnic Of Sriwijaya Jl. Srijaya Negara Bukit Besar, Palembang 30139, Indonesia
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Journal : Journal of Applied Information, Communication and Technology (JAICT)

 1 
Design of VHF Directional Antenna on Class B Automatic Identification System (AIS) for Vessel Traffic Monitoring Supriyanto, Eko; Hasan, Abu; Bramantyo, Hutama Arif; Nurrani, Hanny
JAICT Vol. 8 No. 2 (2023)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v8i2.5017

Abstract

The majority of Automatic Identification System (AIS) equipment used on ships, harbormasters, and monitoring stations utilizes antennas that possess an omnidirectional beam pattern, covering all directions in a 360-degree range. One limitation inherent to omnidirectional antennas is their susceptibility to signal dispersion, resulting in suboptimal signal gain in certain directions. In the context of using omnidirectional antennas at Port AIS stations or other Monitoring Stations situated in expansive terrestrial regions, it is observed that the monitoring range is reduced. The objective of this study is to develop a prototype of a directional antenna capable of enhancing the monitoring range of ship traffic monitoring stations in alignment with the specific direction requested by land-based monitoring stations. The approach  being utilized  is the prototype method. This methodology encompasses the sequential steps of data collection, material and issue identification, planning, modeling, building, testing, and implementation.
Classification System of Crystal Guava (Psidium Guajava) Using Convolutional Neural Network And Rectrified Linear Unit Method Based on Android Wiktasari, Wiktasari; Yudantoro, Tri Raharjo; Alifiansyah, Muhammad Fikry; Kurnianingsih, Kurnianingsih; Triyono, Liliek; Hasan, Abu
JAICT Vol. 10 No. 1 (2025)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v10i1.6170

Abstract

These instructions Abstract - However, determining the ripeness of fruit is frequently done by hand, which presents problems with consistency and efficiency. In order to improve the sorting of crystal guava fruit maturity, this study suggests combining machine learning technology with the creation of digital image-based apps. Fruit ripeness is classified using a convolutional neural network (CNN), a deep learning model, based on the color of its skin. It is anticipated that the method will increase productivity and offer superior precision while sorting crystal guava fruit. The System Development Life Cycle (SDLC) with a Waterfall approach is the methodology employed. The system design formed from the deep learning model resulted in excellent performance in classifying images of crystal guava fruit by utilizing model training from the base models ResNet50V2, DenseNet121, NASNetMobile, and MobileNetV2 with a combination of training using K-fold cross-validation with a 5-fold configuration. The best-trained model achieved an average highest accuracy of 99.92% in model training using MobileNetV2 with the lowest average loss value of 0.0088. The system application was developed using mobile Android, leveraging the Flutter framework and Dart programming language. The research results demonstrate a comparison of testing on crystal guava and local guava fruits against ripeness classification parameters
Design and Development of a Monitoring and Controlling System for Automatic Watering and Filling in Fungi House's Internet of Things-Based Mushroom Cultivation Supriyanto, Eko; Rochmatika, Rizkha Ajeng; Oktaviani, Cantika Cakhya; Luqita, Syauqi Fajar; Hasan, Abu; Bramantyo, Hutama Arif; Yudantoro, Tri Raharjo
JAICT Vol. 9 No. 2 (2024)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v9i2.5921

Abstract

Temperature and humidity are aspects that need to be considered in cultivating oyster mushrooms. Previously, Fungi House in Genting Village, Semarang, implemented an automatic temperature, humidity, and watering monitoring system, but manually filled the water. This new system's design and development aim to simplify the monitoring and control of temperature, humidity, and water level for managers. Managers determined temperature, humidity, and water level thresholds via the web page. This system used the agile scrum method. The test results showed that the temperature measurement accuracy was 96.85%, humidity 99.35%, and water level 98.99%. With this system, the quality of baglog (mushroom growing medium) increased by 4.62%, while dead baglog decreased by 99.01%. Black box testing demonstrates that all features perform well in web testing. In the load activity test, with low bandwidth (6.71 Mbps), the average load time was 1.32 seconds, and with high bandwidth (37.15 Mbps), it was 0.878 seconds. These two conditions indicate excellent system performance and provide optimal user experience.
Design of an Electrical Power Monitoring and Alert System Based on Internet of Things (IoT) for Chicken Coops Supriyanto, Eko; Hasan, Abu; Pramuji, Tulus; Nurrani, Hanny
JAICT Vol. 11 No. 02 (2025): JAICT
Publisher : Politeknik Negeri Semarang

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

Abstract

- The reliability of the electricity supply is a vital factor in ensuring the sustainability of modern poultry farming systems.Power outages or electrical disturbances can disrupt ventilation, heating, and lighting systems, resulting in decreased productivityon poultry farms. This study aims to design an Internet of Things (IoT)-based power supply detection and early warning system tomonitor electrical conditions in real-time and provide automatic notifications to farmers. The system was developed using aZMPT101B voltage sensor, an ACS712 current sensor, and a NodeMCU ESP8266 microcontroller, all of which are connected tothe Blynk platform for notification delivery. The research employed a prototyping approach, consisting of five stages: communication, planning, design, construction, and implementation. Testing was conducted in a closed poultry house located inWonolopo, Mijen, Semarang City. The results showed that the system was able to detect power disturbances with an accuracy rateof 97.6% and a notification response time of less than 3 seconds. The system proved effective in providing early warnings to farmers and enhancing the operational safety of electricity-based poultry farms.
Co-Authors A.S, Putu Yoga Ahmed, Shameem Ahsan, Raquib Aida Syarif Albari, Mauris Ali Ahmad Alifiansyah, Muhammad Fikry Amanah, Tria Rizki Anerasari Meydinariasty Apriantoro, Roni Apriyansah Apriyansah, Apriyansah Arif Bramantyo, Hutama Arifin, Moh Samsul Arza, Tasya Dwi Putri Candra Aprizal Didiek Hari Nugroho Eko Supriyanto Erwana Dewi Fadarina HC Farhan, Ismy Fatahul Arifin, Fatahul Fauzi, Pebi Dian Ghafur, Abd. Haidi Tazaruddin Haliman, Annisa Cendani Hary Sulistyo Hary Sulistyo Hary Sulistyo Hasan, Jordan Hutama Arif Bramantyo Idhawati Hestiningsih Indah Purnamasari Indah Purnamasari INDAH PURNAMASARI Indriani Indriani Irawan, Dewanda Islam, Bagas Saiful Jamil, Maizun Binti Kalsum, Leila Kurnianingsih Kurnianingsih, Kurnianingsih Kurniansyah, Muhammad Harry Kusuma, Mutmainnah Ningtyas Luqita, Syauqi Fajar M. Mar’ie Rizqi Ganisha Maharani, Mutiara Mara, Muhlasah Novitasari Martha Aznury Martha Aznury Mohammad Khambali, Mohammad Moniruzzaman Muhammad Yerizam Muhammad Zaman Mustain Mustain Nor, Siti Najdah Binti Mohd Nurrani, Hanny Octhaviana, Vivi Oktaviani, Cantika Cakhya Pramudya, Nabila Salwa Pramuji, Tulus Pratama , Pranata Yudha Putra, Aan Ade Putra, Asri Eka Putri, Nabilah Ayunisa Rafit Arjeni Rahmaniar Rahmaniar Rahmaniar, Rahmaniar RD Kusumanto Risdzuan, Aiman Arif Bin Robert Junaidi Robert Junaidi Rochmadi Rochmadi Rochmadi Rochmadi Rochmadi Rochmadi Rochmadi Rochmadi Rochmadi Rochmadi Rochmanto, Raditya Artha Rochmatika, Rizkha Rochmatika, Rizkha Ajeng Ronaldo Rozi, Fathor Rusdianasari Rusdianasari Samosir, Devina Sanchia Sardewi, Tri Selastia Yuliati Selastia, Selastia Selly Ratna Sari Sindung Hadwi Widi Sasono, Sindung Hadwi Widi Sindung HW Sasono, Sindung HW Slamet Widodo Suharto Honggokusumo Suharto Honggokusumo Suharto Honggokusumo Suharto Honggokusumo Suharto Honggokusumo Syamsul Hidayat, Sidiq Syari, Aida Syaritri, Dwi Thomas Agung Setyawan, Thomas Agung Tri Raharjo Yudantoro Triyono, Liliek Utari Agustina Wahyu Wulandari Wahyuningrum, Reni Dyah Wijaya, Satria Agung Wiktasari Wiktasari, Wiktasari Yahya, Muhammad Habib Yohandri Bow Yuliani, Aliyah Yuliati - Yuniar Zaman, Muhammad Zikri, Ahmad