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All Journal Sisforma: Journal of Information Systems JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) TEMATIKA: Jurnal Penelitian Teknik Informatika dan Sistem Informasi JIKO (Jurnal Informatika dan Komputer) BAREKENG: Jurnal Ilmu Matematika dan Terapan JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Sisfokom (Sistem Informasi dan Komputer) JURIKOM (Jurnal Riset Komputer) Jurnal Informatika E-JURNAL JUSITI : Jurnal Sistem Informasi dan Teknologi Informasi Abdimas Universal Jurnal Bakti Masyarakat Indonesia Jurnal AbdiMas Nusa Mandiri Journal of Sustainable Community Development (JSCD) Jurnal Atma Inovasia Journal of Embedded Systems, Security and Intelligent Systems Jurnal Sistem Informasi dan Teknologi Informasi
Norbertus Tri Suswanto Saptadi
Department Of Informatics, Faculty Of Information Technology, Universitas Atma Jaya Makassar, Indonesia
Agriculture, Biological Sciences & Forestry Humanities 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 Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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PEMBINAAN GENERASI MUDA PEDULI LINGKUNGAN MELALUI GERAKAN LAUDATO SI’ INDONESIA Saptadi, Norbertus Tri Suswanto; Grace Theresia Pontoh
Jurnal Bakti Masyarakat Indonesia Vol. 8 No. 2 (2025): Jurnal Bakti Masyarakat Indonesia
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jbmi.v8i2.34703

Abstract

Developing a young generation who cares about the environment is both a challenge and a necessity in the modern era. The Indonesian Laudato Si' movement is present as a concrete form of internalizing integral ecological values as stated in the encyclical Laudato Si' by Pope Francis. PkM aims to form a young generation of churches who have environmental awareness, provide a theological understanding of human responsibility towards the natural world, train the young generation to take an active role in environmental conservation, and instill Christian values in protecting and caring for the environment. The PkM method consists of preparation and coordination, socializing the Laudato Si' Movement, building ecological awareness, practicing waste management, cleaning the surrounding environment, and distributing questionnaires. Community service activities in an effort to develop young people who care about the environment through assessment through questionnaire results in the form of "knowing about the Laudato Si movement" by 52 (74.4%) participants, "strongly agree with the Laudato Si movement" by 60 (86.6%) participants, "agree with Laudato Si' as a Christian Leadership Guide for Environmental Sustainability" by 52 (73.6%) participants, "agree to develop a young generation of the Church who cares about the environment" by 53 (75.2%) participants, and "Agree with the implementation of the Laudato Si' Movement" by 54 (76.0%) participants. The leading suggestions that can be given based on the results of the highest scores in distributing questionnaires to participants as follow-up actions or real actions from Laudato Si' activities are "taking part in environmental activities" at 71.4% and "cleaning beaches and rivers" at 35.7%
Composition Model of Organic Waste Raw Materials Image-Based To Obtain Charcoal Briquette Energy Potential Saptadi, Norbertus Tri Suswanto; Suyuti, Ansar; Ilham, Amil Ahmad; Nurtanio, Ingrid
JOIV : International Journal on Informatics Visualization Vol 7, No 3 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.3.1682

Abstract

Indonesia needs new renewable energy as an alternative to fuel oil. The existence of organic waste is an opportunity to replace oil because it is renewable and contains relatively less air-polluting sulfur. Previous research that has been widely carried out still utilizes coconut shell raw materials, which are increasingly limited in number, so other alternative raw materials are needed. A model is needed to make a formulation that can optimize the composition of organic waste raw materials as a basic ingredient for making briquettes. The research objective was to determine the best raw material composition based on digital image analysis in processing organic waste into briquettes. An artificial intelligence approach with a Convolutional Neural Network (CNN) architecture can predict an effective object detection model. The image analysis results have shown an effective model in the raw material composition of 60% coconut, 20% wood, and 20% adhesive to produce quality biomass briquettes. Briquettes with a higher percentage of coconut will perform better in composition tests than mixed briquettes. The energy obtained from burning briquettes is useful for meeting household fuel needs and meeting micro, small, and medium business industries.
Comparative Analysis of Artificial Intelligence Chatbot Performance Hans Marwi; Norbertus Tri Suswanto Saptadi
Journal of Embedded Systems, Security and Intelligent Systems Vol 5, No 2 (2024): July 2024
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v5i2.2986

Abstract

Currently, Artificial Intelligence has penetrated almost every application and site on the Internet. This has had an impact on the world of education, business, etc. In addition to making it easier for humans to carry out their activities, this can also have negative effects if the response from the AI ​​chatbot is inaccurate or even misleading. In this article, the author has conducted experiments on several free versions of popular chatbots, namely ChatGPT, Gemini (Bard), AI Chat and Aichatting. AI chatbots are very helpful in the field of general knowledge, finding solutions to problems and creating creations, such as fiction, or guiding the creation of scientific reports. Users must understand and be observant in using this chatbot because the response is very dependent on the input given. Questions that contain errors will get different responses. All responses given by the AI ​​chatbot are suggestions, not something that must be followed absolutely. This is because the user is responsible for the consequences, not AI. AI has ethics in providing responses so that it will not produce negative answers or direct users to things that violate the rules. The factors that are the main measurements are speed, accuracy, completeness, understanding of questions, response variations, ability to handle input errors and ability to provide solutions. The four chatbots tested each have their own strengths and weaknesses, but there is one that has the most features and variations in its responses, namely Gemini (Bard).
Co-Authors Amil Ahmad Ilham Andrew Christhoper Pratama Ansar Suyuti Cakra, Kalvin Ferdinandus Sampe Grace Theresia Pontoh Hamdani, Fransiskus Aurelio Hans Christian Marwi Hans Christian Marwi, Hans Christian Hans Marwi Ingrid Nurtanio Jeremias Leda Leda, Jeremias Mathias Phie Chyan Sean Coonery Sumarta Sean Coonery Sumarta, Sean Coonery Valentina Marchella Widjaja Vanessa Putri Taga Vini Silviani Sebukita