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All Journal Jurnal Teknologi dan Manajemen Informatika Jurnal Ilmiah Ekonomi Islam International Journal of Economics, Business and Accounting Research (IJEBAR) Budimas : Jurnal Pengabdian Masyarakat International Journal of Computer and Information System (IJCIS) Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Jurnal Pengabdian Digital dan Rekayasa Informatika (JARDIRA) Journal of Soft Computing Exploration
Tino Feri Efendi
Institut Teknologi Bisnis AAS Indonesia
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Penerapan Metode Multi Attribute Utility Theory pada Sistem Pendukung Keputusan Pemilihan Affiliate Marketing Terbaik di PT. Mubarokcorp Digital Indonesia Wahib Mubarok; Tino Feri Efendi; Siti Rokhmah
MISTER: Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Vol. 1 No. 3b (2024): JULI (Tambahan)
Publisher : UNIVERSITAS SERAMBI MEKKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/mister.v1i3b.1735

Abstract

Pesatnya perkembangan teknologi informasi telah mengubah paradigma bisnis. Pemasaran digital menjadi penting bagi perusahaan untuk tetap relevan dan berkembang. Salah satu strategi pemasaran yang umum digunakan adalah melalui kolaborasi dengan affiliate marketing. PT. Mubarokcorp Digital Indonesia, menghadapi tantangan dalam memilih affiliate marketing terbaik. Penelitian ini bertujuan untuk mengembangkan Sistem Pendukung Keputusan (DSS) dengan menerapkan metode multi attribute utility theory (MAUT) untuk memilih affiliate marketing terbaik di industri pemasaran digital. Penelitian ini dapat memberikan rekomendasi yang lebih informatif, efisien, dan akurat dengan melakukan normalisasi matriks dan perhitungan utilitas. Dengan mengidentifikasi variasi nilai normalisasi pada affiliate marketing, penelitian ini menghasilkan peringkat dimana atas nama Sugiharto Rifan Jauhari dan Dewi Lestari Putri menempati peringkat tertinggi, dengan nilai preferensi masing-masing sebesar 0,7750 dan 0,7250. DSS yang dikembangkan berhasil mengelola data affiliate marketing dan menawarkan informasi berharga dalam proses pengambilan keputusan. Penelitian ini memberikan kontribusi signifikan terhadap pengelolaan data dan pemasaran, dengan potensi penerapan dalam konteks bisnis yang relevan.
Creation of Mayang Village Website Application And Community Empowerment Through Digital Literacy Nendy Akbar Rozaq Rais; Eko Ari Wibowo; Tino Feri Efendi
JARDIRA – Jurnal Pengabdian Digital dan Rekayasa Informatika Vol. 1, No. 1, July 2025
Publisher : CogniSpectra Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65917/jardira.v1i1.16

Abstract

BackgroundThe advancement of information and communication technology (ICT) has transformed various aspects of life, including education, the economy, and public transparency. Technology is now an essential part of daily activities. However, in rural areas like Mayang City, digital literacy remains low, limiting the community’s ability to use technology effectively. Although the region has strong human and natural resource potential, many residents—especially those in agriculture and MSMEs—have not yet optimized technology for improving efficiency and welfare. These challenges highlight the need for targeted digital literacy programs and infrastructure support. Contribution: This program contributes to community empowerment by combining digital literacy training with the development of a village website tailored to local needs. It addresses the digital divide in rural areas through practical solutions that strengthen both individual skills and institutional transparency. The approach not only improves access to information and public services, but also builds community capacity to engage with technology sustainably. Method: This activity used a qualitative descriptive approach to examine the digital literacy conditions in Mayang Village. Data were collected through observations and informal interviews. The website development followed the waterfall model, which consists of structured stages: analysis, design, implementation, testing, and maintenance. This method ensured a systematic process suitable for small-scale community-based systems. Results: The program resulted in the development of a village website and a series of digital training sessions for the community. These efforts significantly increased public access to information and reduced dependence on verbal announcements or physical notice boards. The website improved transparency by making government data accessible anytime. The community also became more active in using digital tools for daily tasks, supporting more effective and efficient practices. Conclusion: The integration of digital literacy training and a functional village website has enhanced technological readiness in Mayang Village. It improved information access, governance transparency, and community engagement with technology. This initiative serves as a foundation for future digital transformation in rural areas.
Lightweight discrete q-learning for self-tuning PID on ESP32: Robustness evaluation and cross-volume adaptation in egg incubators Tino Feri Efendi; Zainal Arifin
Journal of Soft Computing Exploration Vol. 7 No. 2 (2026): June 2026
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v7i2.8

Abstract

Temperature stability is the most crucial factor in the success of the egg incubation process. The use of conventional Proportional–Integral–Derivative (PID) control with static Ziegler–Nichols tuning often fails to adapt to external disturbances and thermal dynamics, leading to temperature overshoot that can be fatal to embryo survival. This study proposes the implementation of an adaptive PID controller using a Discrete Q-Learning method based on Edge-AI on an ESP32 microcontroller. Experimental results under standard conditions show that the Q-Learning method successfully reduces overshoot by up to 81.8%, limiting the temperature spike to only 0.2°C above the target of 38.0°C, and accelerating the stabilization time by 76.9% with a reduction in IAE of 52.5%. In the dynamic disturbance rejection test, the adaptive system validated the algorithm's robustness against dynamic disturbances. Furthermore, cross-environment adaptation evaluation by reducing the incubator volume by 50% demonstrates the agent’s autonomous adaptation capability, eliminating overshoot entirely (0.000°C) without parameter recalibration and reducing IAE by 55.1% compared to static PID. This study concludes that the implementation of Q-Learning on low-cost hardware produces a robust, precise, and autonomously adaptive thermal control system for agricultural technology applications.
Co-Authors Agus Marimin Andriani Putri Wihartati Dewi Muliasari Eko Ari Wibowo Hadi Samanto Ika Diah Purwati Indra Lila Kusuma Maya Widyana Dewi Moch. Bagoes Pakarti, Moch. Bagoes Muhammad Sidiq Muhammad Tho'in Muqorobin Muqorobin Mutiya Krisanty Nendy Akbar Rozaq Rais Ridho Rahmadi Siti Rokhmah Sumadi Sumadi Wahib Mubarok Wikan Budi Utami Yudi prayudi Zainal Arifin