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All Journal CESS (Journal of Computer Engineering, System and Science) E-Dimas: Jurnal Pengabdian kepada Masyarakat AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat Adimas : Jurnal Pengabdian Kepada Masyarakat KOMPUTEK J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmu Komputer dan Bisnis Brahmana : Jurnal Penerapan Kecerdasan Buatan Journal of Computer Networks, Architecture and High Performance Computing Brilliance: Research of Artificial Intelligence Jurnal Ilmiah Edutic : Pendidikan dan Informatika Carmin: Journal of Community Service Proceeding of Informatics Collaborations and Dessimenation Meeting (Infocoding)
., Sugianti
Universitas Muhammadiyah Ponorogo, Indonesia
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Mathematics Mechanical Engineering Social Sciences Other

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Implementation of Fuzzy Logic for Chili Irrigation Integrated with Internet of Things Angga Prasetyo; Arief Rahman Yusuf; Yovi Litanianda; Sugianti; Fauzan Masykur
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 2 (2023): Article Research Volume 5 Issue 2, July 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i2.2518

Abstract

Chili, mustard greens, and tomatoes have always been farmers' favored crops, despite their high water and labor demands. Adapt to these conditions by utilizing smart agriculture systems (SAS) agricultural techniques that involve technology such as automatic irrigation that regulates watering based solely on routine, regardless of land conditions. This type of control during the transitional season can lead to root rot and fungisarium disease on chile plants. In the form of an embedded system with internet of things (IoT) monitoring, a system incorporating artificial intelligence such as fuzzy logic is proposed as a solution. Fuzzy logic will regulate irrigation based on the land's humidity and temperature using computational mathematics. Beginning with the fuzzyification stage to map the sensor's temperature and humidity input values, fuzzy logic is applied. The creation of an inference engine in the NodeMcu 8266 microcontroller to interpret fuzzy rule statements in the form of aggregation of minimum conditions with the AND operator, followed by the combination of a single set value of 0 and 1 in the fuzzy system to produce an appropriate actuator response After the entire system has been prototyped, testing is conducted to determine the responsiveness of the fuzzy program code to changes in the simulated agricultural cultivation land ecosystem. This study found that the fuzzy logic program code embedded in the nodeMCU8266 microcontroller effectively controls the spraying duration of the pump in response to various simulated environmental conditions within 3.6 seconds.
Bussiness Management System Of Catfish Cultivation Using Fuzzy Inference System Tsukamoto Methods Sugianti Sugianti; Angga Prasetyo; Agnes Triananda
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.3619

Abstract

Catfish is a type of freshwater fish that is in great demand among people because it has high nutritional value. The high demand for catfish on the market is a promising business opportunity. The relatively fast maintenance period makes this cultivation much in demand. Management of a catfish farming business requires good strategy and planning so that the business process can provide optimal profits. Appropriate management practices, good planning can predict crop yields with minimal error rates. Based on past data from catfish farming businesses, catfish pond production results are influenced by several factors including pond area, number of seeds, and amount of feed. The catfish cultivation management system produces predictions of catfish harvest but ignores weather conditions, natural disasters and infectious diseases. The method used in crop yield prediction management is the Tsukamoto Fuzzy inference system. The Tsukamoto method applies monotonous reasoning and rules are built using expert knowledge, enabling the system to be able to conclude and manage predictions of catfish harvest based on data regarding pond size, number of seeds and amount of feed. System testing using 10 data shows prediction results obtained through manual calculations and system calculations, resulting in identical results. Further testing uses the white box method to ensure that the data implemented in the Tsukamoto fuzzy management system accurately produces logical decisions. Hence, it can be concluded that the management system using the Tsukamoto method is able to show effective performance in predicting harvest results based on data on pond area, number of seeds and amount of feed consumption. This management system is expected to be able to provide recommendations for catfish cultivation business planning for the community.
Implementasi Pengabdian Masyarakat sebagai Juri Porseni Madrasah Aliyah bidang Desain Grafis Arin Yuli Astuti; Sugianti Sugianti; Rifqi Rahmatika Az-Zahra
Carmin: Journal of Community Service Vol. 5 No. 2 (2025)
Publisher : Borneo Research and Education Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59329/carmin.v5i2.198

Abstract

The Sports and Arts Week (Porseni) for Madrasah Aliyah (MA) level in Ponorogo is a biennial event organized by the Ministry of Religious Affairs of Ponorogo Regency to explore and develop students’ talents and creativity in sports and the arts. One of the increasingly popular and evolving competition categories is Graphic Design, which involves the use of visual elements such as typography, illustrations, and color to effectively convey messages. In 2025, MAN 1 Ponorogo was appointed as the host for the district-level Graphic Design competition. This event aims to enhance students’ skills and competitiveness in visual design, while upholding values of sportsmanship and objectivity. However, previous Porseni events have faced challenges related to the evaluation process, including a lack of transparency, subjective judgments, and a mismatch between judges’ backgrounds and the competition field. These issues have led to distrust among participants regarding the final results. To address this, the Porseni committee at MAN 1 Ponorogo has collaborated with lecturers from the Informatics Engineering department who have expertise in graphic design to serve as competition judges. This collaboration is expected to establish a more objective and fair assessment system, aligned with graphic design evaluation criteria, and ultimately improve the quality and integrity of Porseni as a whole.
Analisis Geospasial Berbasis Cloud untuk Pemetaan Risiko Erosi Lahan di Kabupaten Ponorogo Adi Fajaryanto Cobantoro; Ismail Abdurrozzaq Zulkarnain; Arin Yuli Astuti; Sugianti Sugianti
Proceeding of Informatics Collaborations and Dessimenation Meeting Vol. 2 No. 1 (2026)
Publisher : Universitas Muhammadiyah Surakarta

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

Abstract

Kabupaten Ponorogo memiliki karakteristik topografi yang didominasi perbukitan dan pegunungan, sehingga rentan terhadap erosi lahan yang berdampak pada degradasi tanah, sedimentasi, dan peningkatan potensi bencana. Penelitian ini bertujuan memetakan distribusi spasial tingkat bahaya erosi serta menganalisis dinamika perubahannya di Kabupaten Ponorogo selama periode 2020–2023 menggunakan model Revised Universal Soil Loss Equation (RUSLE) berbasis Google Earth Engine (GEE). Data yang digunakan meliputi CHIRPS untuk faktor erosivitas hujan (R), OpenLandMap untuk erodibilitas tanah (K), SRTM DEM untuk faktor panjang dan kemiringan lereng (LS), serta MODIS NDVI untuk faktor tutupan lahan (C), sedangkan faktor konservasi (P) diasumsikan bernilai 1. Hasil analisis menunjukkan bahwa wilayah tengah Kabupaten Ponorogo cenderung berada pada kategori bahaya erosi sangat rendah hingga sedang, sedangkan wilayah selatan, tenggara, dan timur yang memiliki lereng lebih curam secara konsisten berada pada kategori tinggi hingga sangat tinggi. Secara temporal, rata-rata kehilangan tanah tahunan meningkat dari 19,24 ton/ha/tahun pada 2020 menjadi 27,6 ton/ha/tahun pada 2021, lalu sedikit menurun menjadi 24,7 ton/ha/tahun pada 2022, sebelum melonjak tajam menjadi 77 ton/ha/tahun pada 2023. Lonjakan ini mengindikasikan adanya anomali erosi yang diduga kuat dipengaruhi oleh penurunan tutupan vegetasi akibat kondisi kering terkait El Niño 2023, sehingga faktor C menjadi lebih dominan dibanding variasi curah hujan. Penelitian ini menegaskan bahwa integrasi RUSLE dan GEE efektif untuk mengidentifikasi pola spasio-temporal erosi serta mendukung penentuan prioritas wilayah konservasi lahan secara lebih cepat dan berbasis data.
Co-Authors Agnes Triananda Andy Triyanto Angga Prasetyo Arief Rahman Yusuf Astuti, Arin Yuli Bambang Widiyahseno, Bambang Cobantoro, Adi Fajaryanto Ekapti Wahjuni Djuwitaningsih Ellisia Kumalasari Fadelan Fadelan Fajar Harianto Fauzan Masykur Ida Widaningrum, Ida Ismail Abdurozzaq Ismail Abdurrazaq Zukarnain Jamilah Karaman Khoiru Nurfitri Mohammad Bhanu Setyawan Muhammad Nasruddin Prasetyo, Angga Rifqi Rahmatika Az-Zahra Yovi Litanianda Zulkarnain, Ismail Abdurrozzaq