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Muhammad Wali
Contact Email
journal@stmiki.ac.id
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+62651-7552408
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jimik@stmiki.ac.id
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Jl. Teuku Nyak Arief No. 400 Jeulingke Banda Aceh
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INDONESIA
Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Published by STMIK Indonesia Banda Aceh
ISSN : 27768074     EISSN : 27237079     DOI : https://doi.org/10.35870/jimik
Core Subject : Science, Education,
Computer Science & IT Languange, Linguistic, Communication & Media Library & Information Science
Jurnal Indonesia: Manajemen Informatika dan Komunikasi is a scholarly publication dedicated to advancing the fields of information technology and communication management in Indonesia. The journal serves as a platform for researchers, academicians, practitioners, and policymakers to share their insights, knowledge, and expertise in these domains. This journal is a peer-reviewed online journal dedicated to high-quality research publications focused on research, implementation. Jurnal Indonesia: Manajemen Informatika dan Komunikasi is a scholarly publication dedicated to advancing the fields of information technology and communication management in Indonesia.
Arjuna Subject : Ilmu Komputer (semua kategori) - Jaringan Komputer dan Komunikasi
Articles 2 Documents
 1 
Search results for , issue "Vol. 7 No. 2 (2026): Mei" : 2 Documents clear
Strategi Komunikasi Efektif Pengelolaan Arsip Digital untuk Mendukung Layanan Inklusif bagi Disabilitas Tuli di PT KAI Tahun 2025 Ilahi, Hasbi Ridla; Taryana, Agus; Setiawati, Wawat
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 7 No. 2 (2026): Mei
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jimik.v7i2.1789

Abstract

Effective communication is a pivotal component in the provision of inclusive digital archive services, particularly for individuals who are Deaf and depend on visual communication and Indonesian Sign Language (Bisindo). The objective of this study is threefold: first, to analyze the communication process in the management of digital archives at PT Kereta Api Indonesia (Persero); second, to identify communication barriers experienced by Deaf individuals; and third, to formulate strategies for developing inclusive digital archive services. The research employs a descriptive qualitative approach with participatory observation, interviews, and documentation studies at the Section of Asset Ownership Document and Files (USDA) of PT KAI. Participatory observation was conducted to directly observe the steps in using the Rail Document System (RDS), the workflow of digital archive services, and the interactions between Deaf and hearing staff members. Over two months, in-depth data were collected through observation, interviews, and documentation involving seven informants, both internal and external. The results indicate that the management of PT KAI's digital archives has been technically well-executed; however, it does not fully accommodate the needs of Deaf users. The study proposes several recommendations, including the integration of Indonesian Sign Language (Bisindo) into the digital archive system, the provision of content or features accompanied by visual guides, the implementation of sign language training for PT KAI employees, and the reinforcement of internal company policies and regulations. These recommendations aim to ensure the provision of equitable and inclusive digital archive services at PT KAI
Sistem Kendali Mikroklimat Greenhouse Cerdas Berbasis Hybrid GA-LSTM dan Fuzzy Logic Controller Royali, Rainer Maghma; Ariatmanto, Dhani
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 7 No. 2 (2026): Mei
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jimik.v7i2.1798

Abstract

Controlling temperature and humidity in greenhouses is a complex challenge due to its non-linear nature and dependence on external weather conditions. Conventional control methods often experience energy inefficiency and delayed responses to drastic changes. This study proposes a hybrid approach by combining Long Short-Term Memory (LSTM) optimized using Genetic Algorithm (GA) for temperature prediction, and Fuzzy Logic Controller (FLC) for actuator decision-making. Genetic Algorithm is employed to find optimal hyperparameters (number of neurons and batch size) in the LSTM architecture. Experimental results demonstrate the GA-LSTM model's capability in predicting temperature with high accuracy, yielding an R² score of 0.9881 and Root Mean Square Error (RMSE) of 1.1273°C. These accurate predictions are subsequently used as input to the FLC to regulate exhaust fan speed and mist pump status. Simulations demonstrate the system's capability in making energy-efficient decisions—activating actuators only when conditions are predicted to deviate from ideal values—while remaining responsive to extreme temperature anomalies.

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