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RANCANG BANGUN SISTEM ANTI NGANTUK PADA PENGENDARA BERBASIS ARDUINO NANO alam, syamsu; Muhammad, Figur; Ikbal M. Rizal, Muhammad
JURNAL IT Media Informasi STMIK Handayani Makassar Vol 10 No 1 (2019): Volume 10 Nomor 1, April 2019 IT JURNAL
Publisher : LPPM- STMIK HANDAYANI MAKASSAR

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Kecelakaan lalu-lintas adalah kejadian dimana sebuah kendaraan tabrakan dengan benda lain yang menyebabkan kerusakan. Kadang kecelakaan ini dapat mengakibatkan luka-luka bahkan kematian manusia atau binatang, Salah satu faktor penyebab kecelakaan adalah mengantuk. Penelitianinibertujuan: (1) Merancang bangun sebuah sistem anti mengantuk pada pengendara berbasis arduino nano. (2) Membuat rancang bangun sistem anti ngantuk pada pengendara berbasis arduino nano. (3) Mengimplementasikan alat sistem anti tidur kepada pengendara. Penelitian ini dilakukan pada bulan Juli sampai dengan bulan Agustus 2018 yang berlokasi di Jalan. Paropo2,  Workshop STMIK Handayani Makassar, dan bebrapa ruas jalan di kota makassar. Pada umumnya dalam berkendara, Salah satu penyebab kecelakaan lalulintas adalah disebabkan karena mengantuk . Maka untuk mengatasi Permasalahan demikian dilakukan penelitian dengan membuat sebuah sistem anti mengantuk untuk pengendara. Sistem demikian dirancang menggunakan arduino nano sebagai kontroller dan sensor detak jantung XD-58C yang berfungsi untuk mendeteksi Detak jantung Pengendara ketika sedang terjaga dan sedan tertidur ketika berkendara. Arduino nano menjadi pusat data untuk mengkondisikan kerja alat yang lain yang akan saling melengkapi dalam fungsi masing-masing. Dalam hal ini juga kami menggunakan motor servo sebagai alat kejut untuk pengedara ketika mengantuk dan button switch sebagai tombol untuk memilih menu pada alat ini. Sistem ini juga dibangun menggunakan bahasa pemrograman C++ 
Pelatihan Text Mining Menggunakan Bahasa Pemrograman Python Runimeirati; Abdul Muis; Figur Muhammad
Abdimas Langkanae Vol. 3 No. 1 (2023)
Publisher : Pustaka Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53769/jpm.v3i1.83

Abstract

Text mining adalah proses mengeksplorasi dan menganalisis sejumlah besar data teks tidak terstruktur dengan bantuan perangkat lunak yang dapat mengidentifikasi konsep, pola, topik, kata kunci, dan atribut lain dalam data. Ini juga dikenal sebagai analitik teks, meskipun beberapa orang membedakan antara kedua istilah tersebut; dalam pandangan ini, analitik teks mengacu pada aplikasi yang menggunakan teknik Text mining untuk memberi peringkat kumpulan data. Berkat pengembangan platform data besar dan algoritme pembelajaran mendalam yang dapat menganalisis sejumlah besar data tidak terstruktur, Text mining menjadi lebih praktis bagi ilmuwan data dan pengguna lain. Menambang dan menganalisis teks membantu organisasi menemukan wawasan bisnis yang berpotensi berharga dalam dokumen perusahaan, email pelanggan, log pusat panggilan, komentar survei kata demi kata, posting jejaring sosial, catatan medis, dan sumber data berbasis teks lainnya. Kemampuan Text mining juga semakin dibangun ke dalam chatbot AI dan agen virtual, yang digunakan perusahaan untuk memberikan respons otomatis kepada pelanggan sebagai bagian dari operasi pemasaran, penjualan, dan layanan pelanggan mereka.
AN EVALUATION OF THE POWER SUPPORT INTERNET INFRASTRUCTURE OF MAKASSAR CITY IN TELEMEDICINE FRAME Muhammad, Figur; Achmad, Andani; Adnan, Adnan; Mubarak, Abdul; Muis, Abdul
JIKO (Jurnal Informatika dan Komputer) Vol 7, No 1 (2024)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v7i1.7785

Abstract

This research aims to find the quality of the internet in Makassar City. It uses a 10 Mbps service from Indihome to support telemedicine. The study is a case study of sending raw MRI image data to the AWS cloud. The research uses a virtual server from the AWS cloud. It stores raw MRI image data. The data will be sent via the FTP client FileZilla. The tests were carried out eight times. They used the quality of service standard formula from TIPHON. The results come from 8 tests. In the tests, MRI image data was sent to the AWS cloud. The results show that the average throughput value was 4.53 Mbps with an index of 4. This result is excellent. Packet loss is low at 0.01% with an index of 4, which is very good. The delay is 1.7 ms with an index of 3, which is good. The jitter is 1.69 ms with an index of 3, which is good. The quality of service test results are based on TIPHON standards. They show that sending Raw MRI image data to the AWS cloud at 10 Mbps from Indihome in Makassar City is good.
DESIGN OF VERTICULTURE PLANT MONITORING AND IRRIGATION SYSTEM USING FUZZY LOGIC AND WIRELESS SENSOR NETWORK Ramdana, Ramdana; Irma, Ade; Muhammad, Figur
JIKO (Jurnal Informatika dan Komputer) Vol 8, No 1 (2025)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v8i1.8895

Abstract

Verticulture is a gardening method that addresses land limitations by using a multi-layered vertical planting system. However, there are several issues in verticulture, one of which is providing water based on plant needs. The irrigation of verticulture plants is routinely done every day, either in the morning or during the day. This certainly consumes time and effort for the farmers. Therefore, the objective of this research is to design a monitoring and irrigation system for verticulture plants based on soil moisture sensor data that will be processed using fuzzy logic algorithms and Wireless Sensor Network technology. The result of this research is a system implemented at 16 verticulture planting points. Sixteen sensor nodes successfully read soil moisture data in real time and sent this data to a sink node. The sink node then received and collected the moisture data sent by the sensor nodes. The algorithm used in this system is fuzzy logic, which successfully categorizes the readings from the soil moisture sensors into dry, moist, or wet categories, allowing the system to decide whether to irrigate the plants or not. The monitoring application created successfully displays the soil moisture sensor data as a percentage (%).
SMART WATER PUMP DESIGN USING DECISION TREE FOR IOT-BASED AUTOMATIC FRUIT PLANT IRRIGATION Muhammad, Figur; Ramdana, Ramdana
JIKO (Jurnal Informatika dan Komputer) Vol 8, No 1 (2025)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v8i1.8893

Abstract

The continuous growth of the population each year increases the demand for adequate food supplies, while land for cultivation is becoming more limited. One solution to this issue is the technique of growing fruit in pots (tabulampot). Irrigating potted plants is a crucial maintenance stage, where deficit irrigation can help manage fruit quality. However, manual watering by farmers is time-consuming and labor-intensive, necessitating an automation system. This research aims to design and build a smart water pump system based on the Internet of Things (IoT) using a Decision Tree algorithm to monitor and irrigate potted fruit plants. The designed system can irrigate plants based on predetermined times and soil moisture conditions. Utilizing IoT technology, this system can be accessed and controlled via smartphone. The research results indicate that the system operates automatically, with the ability to monitor soil moisture and irrigate based on real-time sensor data. The implementation of this system is expected to enhance the efficiency of potted plant care and reduce farmers' workload.
AN EVALUATION OF THE POWER SUPPORT INTERNET INFRASTRUCTURE OF MAKASSAR CITY IN TELEMEDICINE FRAME Muhammad, Figur; Achmad, Andani; Adnan, Adnan; Mubarak, Abdul; Muis, Abdul
JIKO (Jurnal Informatika dan Komputer) Vol 7, No 1 (2024)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v7i1.7785

Abstract

This research aims to find the quality of the internet in Makassar City. It uses a 10 Mbps service from Indihome to support telemedicine. The study is a case study of sending raw MRI image data to the AWS cloud. The research uses a virtual server from the AWS cloud. It stores raw MRI image data. The data will be sent via the FTP client FileZilla. The tests were carried out eight times. They used the quality of service standard formula from TIPHON. The results come from 8 tests. In the tests, MRI image data was sent to the AWS cloud. The results show that the average throughput value was 4.53 Mbps with an index of 4. This result is excellent. Packet loss is low at 0.01% with an index of 4, which is very good. The delay is 1.7 ms with an index of 3, which is good. The jitter is 1.69 ms with an index of 3, which is good. The quality of service test results are based on TIPHON standards. They show that sending Raw MRI image data to the AWS cloud at 10 Mbps from Indihome in Makassar City is good.