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All Journal Jurnal Pengabdian Masyarakat dan Riset Pendidikan Jurnal Intelek Insan Cendikia
Zulfirman
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Religion Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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ANALISIS FUZZY DALAM MENENTUKAN TINGKAT KEPUASAN PELANGGAN COFFE SHOP DENGAN METODE TSUKAMOTO Heri Kusniadi; Zulfirman; Khairul Saleh
Jurnal Intelek Insan Cendikia Vol. 3 No. 1 (2026): JANUARI 2026
Publisher : PT. Intelek Cendikiawan Nusantara

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Abstract

Penelitian ini bertujuan menganalisis tingkat kepuasan pelanggan coffee shop menggunakan metode Fuzzy Logic Tsukamoto. Persaingan usaha coffee shop yang semakin tinggi menuntut pengelola untuk memahami kepuasan pelanggan sebagai indikator kualitas layanan. Penilaian kepuasan bersifat subjektif sehingga diperlukan metode yang mampu menangani ketidakpastian. Penelitian menggunakan pendekatan kuantitatif deskriptif dengan data primer dari 150 responden melalui kuesioner. Variabel input meliputi fasilitas, rasa kopi, kenyamanan, harga, dan keramahan pelayanan, sedangkan variabel output adalah kepuasan pelanggan. Proses analisis dilakukan melalui tahapan fuzzifikasi, pembentukan 32 aturan fuzzy, inferensi menggunakan operator MIN, dan defuzzifikasi dengan metode rata-rata terbobot. Hasil penelitian menunjukkan nilai akhir kepuasan sebesar 53,64 yang berada pada kategori cukup puas. Metode Fuzzy Tsukamoto terbukti mampu mengolah data subjektif menjadi nilai numerik yang dapat mendukung pengambilan keputusan serta perencanaan strategi peningkatan layanan secara lebih terarah, efektif, dan berkelanjutan bagi pengelola coffee shop.
Pemberi Pakan Kucing Otomatis Berbasis IOT: Penelitian Rahmat; Dicky Apdillah; Zulfirman; Arinda Faradilla Marpaung
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 3 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 3 (Januari 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i3.4840

Abstract

The increasingly dynamic lifestyle of modern society has led to limited time for proper pet care, particularly in maintaining regular feeding routines for cats. Manual feeding practices often result in inconsistent schedules, inaccurate food portions, and difficulties in monitoring feeding activities when owners are away. This study aims to design and implement an Internet of Things–based automatic cat feeder as a solution to these challenges. The research employs a research and development approach, encompassing needs analysis, system design, hardware and software implementation, and functional testing. The developed system integrates an IoT-based microcontroller, a mechanical feeding mechanism, and an internet-based monitoring application. Experimental results indicate that the system is capable of dispensing food automatically according to predefined schedules with high time accuracy and stable portion consistency. Furthermore, the system allows remote control and monitoring with reliable responsiveness as long as an internet connection is available. These findings demonstrate that the proposed system effectively improves feeding efficiency, supports consistent feeding patterns for cats, and provides convenience and assurance for pet owners. The system also shows potential for further development in the field of smart pet care technologies.
Co-Authors Arinda Faradilla Marpaung Dicky Apdillah Heri Kusniadi Khairul Saleh Rahmat