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All Journal Jurnal Mantik Penusa Jurnal Teknik Informatika UNIKA Santo Thomas JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) PITIN Jusikom: Jurnal Sistem Informasi Ilmu Komputer Jurnal Tekinkom (Teknik Informasi dan Komputer) INFOKUM Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Prosiding SeNTIK STI&K INOVTEK Polbeng - Seri Informatika
Barus, Ertina Sabarita
Universitas Prima Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media

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Journal : INOVTEK Polbeng - Seri Informatika

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Analysis of Anthracnose Disease in Curly Chilli Using Fuzzy Logic Method simangunsong, Esterika; Situmeang, Johan Medi; Aikel; Barus, Ertina Sabarita
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 2 (2025): July
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/xtkp9c52

Abstract

Curly chilli (Capsicum annuum L.) is one of the horticultural products that has a high economic value and is often consumed by the people of Indonesia, both as a flavour enhancer for dishes and as a source of nutrition. However, until now, the production of chilli peppers has not been able to meet demand, one of which is caused by anthracnose disease that attacks plants through fungi of the genus Colletotrichum, potentially causing yield losses of 50 to 90%. Until now, there have not been many disease risk prediction systems that consider environmental variables adaptively. This research aims to develop an anthracnose disease risk prediction system based on the Mamdani fuzzy logic method that is able to handle the uncertainty of environmental data such as temperature, humidity, and soil pH. Data are obtained from trusted literature sources and have undergone a validation process before being used in modelling. The system was developed using MATLAB because it supports various features in the implementation of fuzzy logic. Simulation results show high consistency between manual calculations and software results, indicating that the system has a good level of accuracy and potential to be applied in agricultural management.
Forecasting Red Chilli Plant Growth using Time Series Method With Long Short-Term Memory Model Aritonang, Lastiur; Aryowindo, Brita; Syarif, Ridho; Barus, Ertina Sabarita
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 2 (2025): July
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/24mwkh42

Abstract

The growth of red chilli plants is a horticultural commodity whose growth is highly determined by environmental elements, as a result, it is very crucial to make predictions to help more effective agricultural planning. This study aims to examine the ability of the Long Short-Term Memory (LSTM) model in predicting the growth of red chilli plants (Capsicum annuum L.) according to 4 main parameters, namely stems, branches, leaves, and grains. The data used are red chilli plant growth data obtained from plantations located in Deli Serdang Regency, precisely in Namorambe District, namely Jatikusuma Village, over a period of 63 days and analyzed using the time collection method. The example provides high prediction accuracy for stem parameters (R² = 0.9796), branches (R² = 0.9618), and leaves (R² = 0.9489), but slightly low in fruit (R² = 0.8807) due to hyperbolic fluctuations. The consequences show the potential of LSTM in helping red chilli cultivation through better planning, green aid control, and early detection of growth anomalies. This study also demonstrates an integrative approach to four plant growth parameters using a single LSTM instance.
Co-Authors -, Amalia Aikel Aritonang, Lastiur Aryowindo, Brita Atania Br Ketaren Bersama Sinuraya Bersama Sinuraya Christian Jorena Sitepu Darmanto Darmanto Delima Sitanggang, Delima Delmanto Saogo Devin Viondra Sihar Matondang Diana Alemin Barus Elviani Br Tarigan Felix Felix Halim, Jenny Evans Hesalorafika Ginting Jenni Veronika Ginting Jenni Veronika Ginting Jenni Veronika Ginting Niskarto Zendrato Oktrine Rohliharni Purba Oloan Sihombing, Oloan Ompusunggu, Elvis Sastra Rizki Samuel Putra F. Sianturi Sahputra, Sahputra Salim, Stanley Sembiring, Delima Chrismas simangunsong, Esterika Sipayung, Ivan Hasadaon Situmeang, Johan Medi Solly Aryza Sopian Dapit Sutrisno - Syarif, Ridho Yessica, Sally Yonata Laia