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SISTEM KEAMANAN RUANG SERVER MENGGUNAKAN TEKNOLOGI RFID DAN PASSWORD Bahri, Saeful; Suhardiyanto, Suhardiyanto
eLEKTUM Vol 15, No 1 (2018): eLEKTUM
Publisher : Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/elektum.15.1.11-18

Abstract

Meningkatnya tindak kejahatan pencurian di ruang server meningkatkan kebutuhan akan hadirnya sebuah sistem pengaman yang memberikan tingkat keamanan. Ruang Server merupakan ruangan yang berisikan database, aplikasi, perangkat jaringan (router, hub dll), dan perangkat lainnya yang terkait dengan operasional sistem sehari-hari seperti UPS, AC, CCTV dan lain-lain. Apabila perangkat tersebut dicuri, maka dapat mengganggu stabilitas perusahaan. Sistem pengamanan yang berbasis RFID dengan password, dirancang untuk menjadi salah satu solusi masalah tersebut. Sistem pengaman ini terdiri dari tag/label, RFID, pembaca RFID, LCD, dan keypad yang terintegrasi dengan sistem pengaman berupa kunci pintu  otomatis yang menggunakan password berbasis RFID untuk mengatasi supaya tidak sembarangan orang yang masuk pada ruang Server serta dilengkapi pendeteksi suhu ruangan aktual yang akan ditampilkan oleh LCD. Pengujiaannya, bunyi beep berbunyi pada setiap langkah pengerjaannya, jika pasword yang dimasukkan adalah benar maka pintu akan terbuka dan jika pasword yang dimasukkan adalah salah maka pintu tidak akan terbuka, serta password dapat diganti sesuai dengan keinginan pengguna. RFID dapat dapat membaca password, password dapat dirubah sesuai keinginan pengguna, membuka atau mengunci pintu secara otomatis dan menampilkan suhu ruangan di layar LCD dengan aktual. Sistem RFID dapat bekerja sebagaimana fungsinya, membaca label yang didaftarkan dengan jarak maksimum 23 mm dengan adanya halangan setebal 15mm. Sistem RFID akan membuka pintu secara otomatis jika suhu ruangan melebihi temperature 50°C.
Karakteristik Permen Keras Ekstrak Daun Jambu Biji dengan Variasi Perbandingan Sukrosa dan Sirup Glukosa Suhardiyanto, Suhardiyanto; Ngatirah, Ngatirah; Oktavianty, Herawati
BIOFOODTECH : Journal of Bioenergy and Food Technology Vol. 2 No. 02 (2023): Desember
Publisher : Program Studi Teknologi Hasil Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55180/biofoodtech.v2i02.658

Abstract

This research is about making hard candy from guava leaf extract and variations in the ratio of sucrose and glucose syrup which aims to determine the effect of variations in the ratio of sucrose and glucose syrup on the quality of guava leaf extract candy, determine the influence of guava leaf types on the quality of guava leaf hard candy, and obtain guava leaf types and sucrose and glucose syrup ratios that produce guava leaf candy favored by panelists and that meets the Indonesian National Standard (SNI). The research design used in this study is the Complete Block Design (RBL) with two Factor 1 Factors Sucrose Comparison: Glucose Srisup with each treatment level as follows: A1= 50:50, A2= 75:25, and A3= 85:15 and 2nd Factor – types of guava fruit parts with each level of treatment as follows: B1= Old guava leaves, B2= Young guava leaves and B3= Young guava leaves: old guava leaves (1: 1). The analysis carried out was water content, ash content, sugar reduction, antioxidant activity, phenol, Vitamin C, texture, and sensory tests (color, aroma. texture, and taste). The results of this study showed that variations in the ratio of sucrose: glucose syrup had a significant effect on the analysis of reduced sugar, vitamin C, and sensory tests of color, flavour, and Taste, but did not have a significant effect on the analysis of water content, ash content, antioxidants, phenols, texture, and sensory tests (texture). Guava leaf extract has a significant effect on the Sensory Test (Color) and has no real effect on the analysis of water content, ash content, reduction sugar, antioxidants, phenols, vitamin C, Texture, and Sensory tests (Texture, flavourma, and Taste) and variations in the ratio of sucrose with glucose syrup and the addition of guava leaf extract have a level of preference ranging from 3.86 – 4.10 where the value is also the same as Neutral so that in this manufacture the panelists have taste or the same liking for all samples  
UNJUK RASA PENGUNGSI DI PEKANBARU DALAM PERSPEKTIF HUKUM DAN KEBIJAKAN: Studi dalam Konteks Negara Muslim Asia Tenggara Suhardiyanto, Suhardiyanto
Nusantara Journal for Southeast Asian Islamic Studies
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/nusantara.v20i1.35865

Abstract

Penelitian ini menganalisis fenomena unjuk rasa pengungsi asing di Pekanbaru dalam perspektif hukum dan kebijakan di Indonesia, sebagai negara Muslim terbesar di Asia Tenggara. Berdasarkan Undang-Undang Nomor 9 Tahun 1998 tentang Kemerdekaan Menyampaikan Pendapat di Muka Umum, hak untuk melakukan unjuk rasa hanya diberikan kepada warga negara Indonesia, sehingga aksi demonstrasi yang dilakukan pengungsi menjadi dilema hukum. Penelitian ini menemukan bahwa kurangnya regulasi spesifik, kekhawatiran pelanggaran hak asasi manusia (HAM), serta koordinasi yang lemah antar lembaga terkait memperumit penanganan aksi pengungsi. Untuk mengatasi masalah ini, diperlukan regulasi yang lebih jelas, pelatihan HAM bagi aparat keamanan, serta peningkatan komunikasi antara pemerintah daerah dan organisasi internasional seperti UNHCR. Dengan kebijakan yang lebih terarah, Indonesia dapat menyeimbangkan penegakan hukum dan perlindungan hak asasi bagi para pengungsi di kawasan Asia Tenggara
Implementation of Feature Selection to Improve the Accuracy of Gender Classification Based on Voice Data with Random Forest Suhardiyanto, Suhardiyanto; Amaluddin, Fitroh; Wijayanti, Aris
Jurnal Ilmiah Teknologi Informasi Asia Vol 20 No 1 (2026): Volume 20 Issue 1 2026 (In Progress)
Publisher : LP2M Institut Teknologi dan Bisnis ASIA Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v20i1.1204

Abstract

Voice-based gender recognition has gained increasing importance in biometrics, security, forensics, and human–computer interaction. While humans can easily distinguish male and female voices, automatic classification remains challenging due to variability and high-dimensional acoustic data. This study investigates the role of feature selection in enhancing the performance and efficiency of Random Forest for gender classification. The dataset, obtained from Kaggle, consists of 3,168 balanced voice samples with 23 acoustic features. Using Pearson’s correlation analysis, five features with the strongest associations to the target variable were selected. Random Forest classification was then conducted using both the full set of 22 features and the reduced set of 5 features. Results suggest that although the accuracy gain was marginal (98% to 99%), computation time decreased substantially from 0.3 to 0.1 seconds, representing a 66% efficiency improvement. These findings suggest that lightweight correlation-based feature selection can simplify models and enable faster real-time applications without compromising predictive performance. The study emphasizes efficiency rather than accuracy as the main contribution, providing a methodological insight for designing scalable and inclusive voice-based gender recognition systems.