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All Journal JURNAL INSTEK (Informatika Sains dan Teknologi) TIN: TERAPAN INFORMATIKA NUSANTARA Journal Software, Hardware and Information Technology Agents: Journal of Artificial Intelligence and Data Science
ANTAMIL, ANTAMIL
UIN ALAUDDIN MAKASSAR
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MONITORING TINGKAT KEBERSIHAN SEPTIC TANK BERBASIS INTERNET OF THINGS (IoT) Zuhal Mujaddid samas; Antamil Antamil
AGENTS: Journal of Artificial Intelligence and Data Science Vol 1 No 2 (2021): Maret - Agustus
Publisher : Prodi Teknik Informatika Universitas Islam Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (552.312 KB) | DOI: 10.24252/jagti.v1i2.24

Abstract

Domestic blackwater sewage is usually placed in a reservoir called a septic tank. Black water type waste water is channeled to the residents' septic tanks, but there are still many people who have septic tanks that do not meet the established standards so it impacts the need for a hygiene assessment at every certain period. Apart from that, fecal sludge accumulation in the septic tank can store various contents, one of which is methane gas or CH4 which can explode and endanger the septic tank cleaning workers. This type of research is quantitative with an experimental approach. The design of tool design uses a prototype model. In this study, two types of sensors were used, namely the MQ-4 sensor and the HC-SR04 sensor. The results of this study are in the form of a methane gas detector and a height measuring device, to determine whether the septic tank has high or low methane levels in the form of a percentage in the serial monitor, and also becomes a reference for when the septic tank is full which is marked notification on the application. Blynk uses NodeMCU so that it can know the time of the septic tank desludging process.
Identifikasi Nominal Mata Uang Rupiah Bagi Penyandang Tunanetra Dengan Algoritma Convolutional Neural Network Berbasis Android Nur Hidayat, Andi Muhammad; Antamil, Antamil; Zakiyah M, Ibnah
Journal Software, Hardware and Information Technology Vol 3 No 2 (2023)
Publisher : Jurusan Sistem Informasi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/shift.v3i2.102

Abstract

What frequently occurs in today's life is the process of economic transactions, particularly during buying and selling. When engaging in these transactions, people always utilize money as the payment method. This implies that money serves a rather crucial function during transactions. However, for visually impaired individuals, the transaction process becomes problematic because they face difficulties in recognizing the denominations on banknotes. Deep Learning is a burgeoning field within Machine Learning that has shown significant development. Among data practitioners, Deep Learning is widely popular due to its exceptional capabilities in computer vision. One notable application is object classification in images. By implementing one of the Machine Learning methods that can be employed to classify Indonesian rupiah currency, Convolutional Neural Network (CNN) can be utilized. Based on the constructed architecture, the Convolutional Neural Network (CNN) method encompasses various types, with VGG-16 being one of them. In this study, 7 classes of Indonesian rupiah currency images were employed, each consisting of 190 images. The obtained accuracy rate is 83% when utilizing the VGG-16 architecture.
PERANCANGAN SISTEM PEMBELAJARAN DAN PRAKTIKUM ONLINE BAHASA PEMROGRAMAN MENGGUNAKA E-LEARNING SYSTEM UNTUK JURUSAN SISTEM INFORMASI FAKULTAS SAINTEK UIN ALAUDDIN MAKASSAR IBRAHIM, FIRMANSYAH; ANTAMIL, ANTAMIL
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 4 No 2 (2019): OCTOBER
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (4032.917 KB) | DOI: 10.24252/instek.v4i2.11165

Abstract

Perkembangan teknologi yang begitu pesat memungkinkan seseorang dapat melakukan proses belajar dan mengajar tanpa terbataskan waktu dan tempat, dimanapun dan kapanpun menggunakan Internet. Berdasarkan data dan hasil implementasi dari sistem pembelajaran bahasa pemrograman berbasis online yang telah dibuat untuk program studi Sistem Informasi UIN Alauddin Makassar secara rata-rata / dominan mahasiswa menginginkan adanya sistem pembelajaran untuk bahasa pemrograman secara online. Karena berkaitan dengan infrastruktur yang dimiliki mahasiwa baik dari segi smartphone, laptop, paket data internet yang dimiliki bahkan mempunya lebih dari 2 smartphone. Sehingga ini memungkinkan dapat dilakukannya atau diterapkannya pembelajaran / praktikum bahasa pemrograman secara online. Selain dari pada itu mereka lebih cepat dan mudah memahami jika pembelajaran bahasa pemrograman dalam bentuk visual seperti gambar, video, forum diskusi, dan training code program.Kata Kunci: Pembelajaran, E-Learning System, UIN Alauddin Makassar
SIMULASI KENDALI CERDAS LEVEL NUTRISI HIDROPONIK PADA BUDIDAYA SAYUR BAYAM ANTAMIL, ANTAMIL; SYAFAR, A. MUHAMMAD; FUADI, NURUL
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 5 No 2 (2020): OCTOBER
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (900.953 KB) | DOI: 10.24252/instek.v5i2.16204

Abstract

Dasar Penelitian ini adalah untuk merancang dan membangun sistem kendali hidroponik untuk sayur bayam. Sistem kontrol akan menampilkan volume air dan nutrisi yang perlu ditambahkan setiap hari untuk menjaga pertumbuhan sayur bayam yang baik. Tipe nutrisi yang digunakan adalah tipe AB Mix yang banyak tersedia dipasaran. Metode yang digunakan adalah metode simulasi, dimana sistem terdiri dari 2 bahan utama nutrisi yaitu larutan X dan larutan Y yang ditambahkan dengan air sumur. Rasio dari 3 bahan ini berubah dapat berubah setiap minggu selama siklus pertumbuhan. Sistem akan terus memantau konsentrasi larutan dan ketinggian level nutrisi, serta persediaan air dan persediaan nutrisi X dan Y. Karena sistem dirancang untuk diluar ruangan, maka proses penyinaran akan terjadi secara alami. Sistem ini harus mampu menyediakan nutrisi yang memadai dan jumlah air yang cukup serta interaksi yang paling minimum dengan operator. Setelah siklus pertumbuhan selesai maka sistem selalu siap untuk mulai penanaman kembali. Kata Kuci : Kendali Cerdas, Hidroponik, AVR328, Mikrokontroler
PERANCANGAN SISTEM INFORMASI PEMASARAN PADA SUB TERMINAL AGROBISNIS (STA) KABUPATEN ENREKANG BERBASIS WEB ANDI MUHAMMAD NUR HIDAYAT; ANTAMIL; SITTI MUNAWARA
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 7 No 1 (2022): APRIL
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/instek.v7i1.29046

Abstract

Terjadinya kesenjangan penghasilan oleh sebagian besar petani terhadap hasil komoditi pertaniannya serta laba yang diperoleh tidak sebanding dengan yang diinginkan, perihal tersebut melatarbelakangi dilakukannya penelitian ini. Diantara penyebab dari masalah itu ialah sistem pemasaran yang masih konvensional sehingga pemasaran menjadi terbatas dan kurang maksimal. Tujuan dari penelitian ini ialah membuat sistem informasi pemasaran berbasis web pada Sub Terminal Agrobisnis (STA) Kecamatan Alla’ Kabupaten Enrekang. Penelitian kualitatif dengan teknik pengumpulan data yaitu dokumentasi, wawancara dan studi literatur adalah jenis penelitian yang digunakan oleh penulis dalam penelitian ini. Sedangkan dalam membuat sistem ini digunakan Unified Modeling Language dan untuk database menggunakan Entity Relationship Diagram. Adapun pengujiannya digunakan metode Black Box. Kata Kunci: Web, Pemasaran, Sub Terminal Agrobisnis (STA), Pertanian.
Deteksi Serangan DDoS (Distributed Denial of Service) Menggunakan Wavelet Decomposition dan Optimasi Hyperparameter Berbasis Optuna Ghibran, Andi Khalil; Mustikasari, Mustikasari; Darmatasia, Darmatasia; Antamil, Antamil
TIN: Terapan Informatika Nusantara Vol 6 No 7 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i7.8706

Abstract

This study aims to design and develop a Distributed Denial of Service (DDoS) attack detection system based on Wavelet Decomposition capable of identifying network traffic anomalies in real-time. The main problem addressed is the high false positive rate in conventional detection methods, which often fail to distinguish between legitimate traffic bursts and actual attacks. Two primary data sources were used: the CICIDS2017 dataset and self-generated data representing controlled DDoS attack patterns. The proposed method applies Discrete Wavelet Transform (DWT) to decompose network traffic signals into amplitude and energy components. Detection is then performed using the Median Absolute Deviation (MAD) approach, optimized with three parameter search methods: Grid Search, Random Search, and Optuna. Experimental results indicate that the energy-based method with Optuna optimization achieves the best performance, with an accuracy of 98.6% on the CICIDS2017 dataset and 99.4% on the self-generated data, and error rates of 1.4% and 0.6%, respectively. This research contributes to enhancing the accuracy of DDoS detection systems with low computational overhead, making it suitable for large-scale network environments.
Co-Authors Andi Muhammad Nur Hidayat DARMATASIA, DARMATASIA Ghibran, Andi Khalil Ibrahim, Firmansyah Mustikasari Mustikasari NUR HIDAYAT, ANDI MUHAMMAD Nurul Fuadi SITTI MUNAWARA SYAFAR, A. MUHAMMAD Zakiyah M, Ibnah Zuhal Mujaddid samas