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All Journal Jurnal Online Mahasiswa (JOM) Bidang Ilmu Sosial dan Ilmu Politik InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL INSTEK (Informatika Sains dan Teknologi) JURNAL TEKNOLOGI DAN OPEN SOURCE KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Jurnal Mantik Jurnal Teknik Informatika C.I.T. Medicom JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) INFOKUM Jurnal Mandiri IT Bhakti Nagori (Jurnal Pengabdian kepada Masyarakat) Biner : Jurnal Ilmiah Informatika dan Komputer Jurnal Perencanaan, Sains dan Teknologi (Jupersatek) Prosiding Seminar Nasional Hasil Penelitian dan Pengabdian Kepada Masyarakat INOVTEK Polbeng - Seri Informatika Mandala Bakti Jurnal Sistem Informasi, Teknik Informatika, dan Sistem Komputer
Nofri Wandi Al Hafiz
Universitas Islam Kuantan Singingi, Riau, Indonesia
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Nursing Public Health Social Sciences Transportation Other

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Decision Support System Using the SAW Method for Determining Research Priorities at Universitas Islam Kuantan Singingi Aprizal; Febri Haswan; Nofri Wandi Al-Hafiz; Harianja; Gunardi Hamza
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 10 No. 3 (2025): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/q1jtvt31

Abstract

Universitas Islam Kuantan Singingi receives numerous research proposals from lecturers every year. Limited resources, such as funding, facilities, and expertise, mean that not all proposals can be funded. Therefore, a selection process is necessary to determine which research is eligible for funding. Currently, selection is still carried out conventionally, which is time-consuming and potentially subjectivist, especially in determining the importance of criteria. To address these issues, a Decision Support System was developed using the Fuzzy Multiple Attribute Decision Making method using the Simple Additive Weighting approach. This method is capable of processing various assessment criteria to produce objective weights, values, and rankings for each research proposal. The system's calculations are expected to provide recommendations for priority research as a basis for granting grants at Kuantan Singingi Islamic University. Thus, this system assists the LPPM-DI Universitas Islam Kuantan Singingi in distributing research grants more quickly, transparently, and accurately.
Design and Implementation of an IoT-Based Smart Chicken Feeder System Using an ESP32 Microcontroller M Yusfahmi; Nofri Wandi Al-Hafiz; Aprizal; Nacha Artha Hendrawan
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 9 No. 2 (2026): Jurnal Teknologi dan Open Source, December 2026
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v9i2.4823

Abstract

Manual chicken feeding still faces various obstacles, such as inaccurate scheduling, dependence on the presence of farmers, and less than optimal monitoring of feed availability, which can affect the efficiency of farm management. This study aims to design and implement an Internet of Things (IoT)-based Smart Chicken Feeder system using an ESP32 microcontroller to automate chicken feeding and monitor feed availability in real-time. The research method uses a prototype approach that includes needs analysis, hardware and software design, implementation, and system testing. The hardware consists of an ESP32, a servo motor as an actuator to open and close the feed chute, an HC-SR04 ultrasonic sensor to detect feed height, and an IoT platform as a monitoring medium. Tests were conducted on the timeliness of feeding, sensor detection accuracy, actuator response, and internet communication stability. The test results show that the system is able to carry out automatic feeding according to schedule, detect feed conditions properly, and transmit monitoring information in real-time. The developed system can improve feed use efficiency, reduce errors due to human factors, and support the implementation of the smart farming concept in chicken farms.
Co-Authors A. Mualif Abdul Aziz Kamil Abdul Latif Afrinald Rizhan Aprizal Aprizal Aprizal Aprizal Aprizal Aprizal Aprizal, Aprizal Asri Noprianti Asril Annas Baehaqi Chairani, Sri Desviana Kesuma Putri Ego Oktafanda Elgamar Syam Erlinda Erlinda Erlinda Erlinda Erlinda Febri Haswan FEBRI HASWAN Firman Santosa Gunardi Hamza Gunardi Hamzah Hamza, Gunardi Harianja Harianja Harianja Harianja Harianja Harianja Harianja Harianja, Harianja Helpi Nopriandi Helpi Nopriandi Indra Pahlawan Jasri . Jasri Jasri Jasri, Jasri M Hasyim Siregar M. Hasim Siregar M. Hasim Siregar M. Yusfahmi Mesran, Mesran Morine Delya Octa Muhammad Hasim Siregar Muhammad Hasyim Siregar Nacha Artha Hendrawan Paris Paizal Putri Ramadhani Putri Ramadhani, Putri Putri Sianturi Rabby Nazli Restania Elvida Ridho Akbar Li Saragi Sianturi, Putri Sri Chairani Sri Chairani Suginam Yudio Prastio