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All Journal Ilmu Administrasi Publik MIND (Multimedia Artificial Intelligent Networking Database) Journal
Fajrin Nurul Haq
Muhammadiyah Bandung University
Computer Science & IT Economics, Econometrics & Finance Other

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Decent Work Inclusive Policy for Persons with Disabilities in Indonesia Siti Widharetno Mursalim; Fajrin Nurul Haq
Jurnal Ilmiah Ilmu Administrasi Publik Vol 12, No 2 (2022)
Publisher : Program Pascasarjana Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/jiap.v12i2.38581

Abstract

The many problems experienced by persons with disabilities such as difficulty in getting a job, discrimination, and inequality when getting a suitable job and fairness during work indicate that the same service for all citizens has not been fully felt. This is also due to the fact that policy studies that are inclusive of persons with disabilities have not yet been fully implemented. This study uses qualitative research methods and then describes the results of the research descriptively. The final result of this research is a strategy to provide equality for persons with disabilities in employment services.
Strategy for Strengthening Science Techno Park (Case Study: Solo, Sragen and South Sumatra Techno Park) Fajrin Nurul Haq; Siti Widharetno Mursalim
Jurnal Ilmiah Ilmu Administrasi Publik Vol 12, No 2 (2022)
Publisher : Program Pascasarjana Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/jiap.v12i2.38585

Abstract

Currently, various kinds of research and technology results are produced in Indonesia, but the problem is how far the results of research and technology can be adopted by the industry. In fact, with the increase in research output and technology produced, it is not proportional to the increase in the number adopted by the industry. Therefore, it is necessary to strengthen the Science Techno Park as an integrated area in developing research and technology results. The research approach used is qualitative with the aim of being able to examine strategies in strengthening the Science Techno Park. From the results of the research, it is known that the concept of BLUD and collaboration can be a strategy that is applied in Solo, Sragen and South Sumatra Techno Park.
Sensor MOS Hidung Elektronik untuk Membedakan Thrips dan Spodoptera pada Stroberi FAJRIN NURUL HAQ; REZA FIKRI ALFATAH; MULKI REZKA BUDI PRATAMA; SAHRUL RISWANTO; AYU SUCI RAHMAN
MIND (Multimedia Artificial Intelligent Networking Database) Journal Vol 10, No 1 (2025): MIND Journal
Publisher : Institut Teknologi Nasional Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/mindjournal.v10i1.48-60

Abstract

AbstrakPenelitian ini mengevaluasi efektivitas hidung elektronik berbasis sensor MOS, yaitu sensor TGS dan MQ, dalam mendeteksi dan membedakan hama thrips dan Spodoptera litura pada tanaman stroberi. Data volatil yang dihasilkan oleh tanaman diamati menggunakan sensor E-nose yang terhubung dengan model jaringan saraf tiruan Backpropagation (BPPN). Dengan penyetelan GridSearchCV, akurasi deteksi meningkat secara signifikan, terutama pada sensor TGS, yang menunjukkan kinerja lebih baik dibandingkan sensor MQ. Teknologi ini menawarkan pendekatan deteksi hama yang sensitif, tidak merusak, dan ramah lingkungan, dengan potensi untuk mendukung pengelolaan hama secara berkelanjutan dalam budidaya stroberi. Penelitian ini memberikan peluang baru untuk inovasi di bidang pertanian pintar dengan pengurangan penggunaan pestisida yang berlebihan dan optimalisasi strategi pengelolaan hama. Kata kunci: hidung elektronik, deteksi, trips, spodoptera, stroberiAbstractThis study evaluates the effectiveness of metal oxide semiconductor (MOS) electronic noses, specifically the TGS and MQ sensors, in detecting and distinguishing between thrips and Spodoptera litura pests on strawberry plants. Volatile compounds produced by the plants were analyzed using an E-nose connected to a Backpropagation Neural Network (BPNN) model. The GridSearchCV optimization significantly improved detection accuracy, particularly for the TGS sensor, which outperformed the MQ sensor. This technology offers a sensitive, non-invasive, and environmentally friendly approach to pest detection, supporting sustainable pest management in strawberry cultivation. The study opens new opportunities for smart agricultural innovations, reducing excessive pesticide use and optimizing pest control strategies. Keywords: electronic nose, detection, thrips, spodoptera, strawberry
Co-Authors AYU SUCI RAHMAN MULKI REZKA BUDI PRATAMA Reza Fikri Alfatah SAHRUL RISWANTO Siti Widharetno Mursalim