Garuda - Garba Rujukan Digital

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

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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

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

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

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

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 Figur Muhammad; Andani Achmad; Adnan Adnan; Abdul Mubarak; Abdul Muis
JIKO (Jurnal Informatika dan Komputer) Vol 7 No 1 (2024)
Publisher : Program Studi Teknik Informatika Universitas Khairun

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

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.

SMART WATER PUMP DESIGN USING DECISION TREE FOR IOT-BASED AUTOMATIC FRUIT PLANT IRRIGATION Figur Muhammad; Ramdana Ramdana
JIKO (Jurnal Informatika dan Komputer) Vol 8 No 1 (2025)
Publisher : Program Studi Teknik Informatika Universitas Khairun

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

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.

DESIGN OF VERTICULTURE PLANT MONITORING AND IRRIGATION SYSTEM USING FUZZY LOGIC AND WIRELESS SENSOR NETWORK Ramdana Ramdana; Ade Irma; Figur Muhammad
JIKO (Jurnal Informatika dan Komputer) Vol 8 No 1 (2025)
Publisher : Program Studi Teknik Informatika Universitas Khairun

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

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 (%).

PENINGKATAN KOMPETENSI DIGITAL SISWA SMKN 1 PANGKEP MELALUI PELATIHAN KODING PYTHON TERSTRUKTUR Figur Muhammad; Kholik Prasojo; Umi Purnama; Massikki
Journal of Engineering Service and Innovation Volume 1, Issue 2 (Februari) 2026
Publisher : Fakultas Teknik

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The development of digital technology requires vocational high school (SMK) students to possess programming competencies as preparation for the digital era. However, many students still experience difficulties in understanding basic programming concepts systematically. This community service activity aimed to improve the digital competence of students at SMKN 1 Pangkep through structured Python coding training. The training was conducted using hands-on learning and project-based learning approaches with materials covering algorithm logic, variables, operators, branching, looping, functions, and simple Python-based application development. The results showed that students were able to understand basic Python programming concepts and successfully develop simple CLI- and GUI-based applications. In addition to improving technical skills, the training also enhanced students’ problem-solving abilities, logical thinking, and learning motivation in digital technology. Therefore, Python coding training can be an effective effort to improve the digital competence of vocational high school students in the era of technological advancement.

Pelatihan Dasar Pemrograman Komputer untuk Meningkatkan Kemampuan Berpikir Logis Siswa di SMAN 4 Makassar Rahmaniar Rahmaniar; Figur Muhammad
Abdimas Langkanae Vol. 6 No. 1 (2026)
Publisher : Pustaka Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53769/jpm.v6i1.735

Literasi digital merupakan kompetensi esensial yang perlu dimiliki oleh generasi muda di era transformasi digital. Namun, masih banyak siswa SMA yang belum memiliki keterampilan pemrograman yang memadai akibat keterbatasan kurikulum dan minimnya akses pelatihan praktis. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan literasi digital siswa SMAN 4 Makassar melalui pelatihan koding berbasis pemrograman web. Kegiatan dilaksanakan selama 16 pertemuan mulai 21 November hingga 15 Desember 2025 dengan melibatkan 30 siswa sebagai peserta. Metode yang digunakan adalah pelatihan langsung yang diawali dengan observasi, penyusunan bahan ajar, pelaksanaan pelatihan, dan diakhiri dengan evaluasi berupa proyek akhir. Materi yang diajarkan meliputi konsep client server, DOM, HTML, CSS, JavaScript serta pengelolaan data menggunakan LocalStorage dan JSON. Hasil kegiatan menunjukkan bahwa siswa mampu memahami konsep pemrograman web secara bertahap dan menghasilkan proyek akhir berupa Sistem Perpustakaan Sederhana SMAN 4 Makassar yang fungsional. Selain peningkatan kemampuan teknis, pelatihan ini juga berdampak positif terhadap motivasi, kepercayaan diri, dan minat siswa untuk terus belajar pemrograman secara mandiri. Dengan demikian, pelatihan koding terbukti efektif sebagai salah satu upaya peningkatan literasi digital siswa di jenjang sekolah menengah.

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