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All Journal TEKNIK INFORMATIKA TELKOMNIKA (Telecommunication Computing Electronics and Control) ELTIN Journal: Journal of English Language Teaching in Indonesia Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Ilmiah Universitas Batanghari Jambi Jurnal Komputasi JITK (Jurnal Ilmu Pengetahuan dan Komputer) IKRA-ITH Informatika : Jurnal Komputer dan Informatika JURNAL ILMIAH INFORMATIKA Sebatik Jurnal Pengabdian Masyarakat AbdiMas Jurnal ULTIMATICS IKRA-ITH ABDIMAS Jurnal Teknologi Aptisi Transactions on Technopreneurship (ATT) Journal of Information System, Applied, Management, Accounting and Research JIIP (Jurnal Ilmiah Ilmu Pendidikan) Jurnal Abdimas Ilmiah Citra Bakti (JAICB) Buletin Poltanesa International Journal of Engineering, Science and Information Technology Jurnal Pepadun Ilmu Komputer untuk Masyarakat TECHSI - Jurnal Teknik Informatika Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Akuntansi, Manajemen dan Perbankan Syariah Indonesian Journal of Education And Computer Science Blantika : Multidisciplinary Journal Jurnal Komputasi
Ulum, Muhamad Bahrul
Universita Esa Unggul
Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Workshop Pengenalan Aplikasi CPU OS Simulator untuk Penjadualan First-Come First-Served (FCFS) Agung Mulyo Widodo; Roesfiansjah Rasjidin; Muhamad Bahrul Ulum; Binastya Anggara Sekti; Nixon Erzed; Ryan Putra Laksana; Budi Tjahjono; Hendry Gunawawan
IKRA-ITH ABDIMAS Vol. 7 No. 3 (2023): Jurnal IKRAITH-ABDIMAS Vol 7 No 3 November 2023
Publisher : Universitas Persada Indonesia YAI

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

Abstract

CPU OS Simulator merupakan aplikasi simulator yang mendukung proses pembelajaran yang mensinergikan dari sisi perangkat keras maupun perangkat lunak. Dalam aplikasi ini terdapat modul penjadualan First Come First Serve (FCFS) merupakan algoritma penjadwalan sistem operasi yang secara otomatis mengeksekusi permintaan (request by priority) dan proses antrian sesuai urutan kedatangannya (arrival). Algoritma scheduling untuk proses (assembly dan visualisasi) dengan menggunakan CPU OS Simulator, aplikasi ini lebih mudah dioperasikan dan user-friendly bagi pengguna. Dalam algoritma jenis ini, proses yang me-request CPU terlebih dahulu mendapatkan alokasi CPU terlebih dahulu. Proses penjadualan dikelola dengan metode antrian First-In First-Out (FIFO), dalam ruang lingkup sistem operasi dengan fokus penjadualan algoritma FCFS (First Come First Serve). Metode workshop dilaksanakan secara daring menggunakan zoom cloud meeting, dengan peserta dosen yang berminat akan aplikasi tersebut dan para anak didik yang mau mengenal memahami konsep dari sistem operasi. Aplikasi CPU OS simulator merupakan salah satu aplikasi yang bersifat free-ware sehingga dapat di unduh secara gratis bagi para pengguna (dosen dan atau mahasiswa). Hasil akhir dari pelatihan bagi pengguna akan melihat dan mengerti tahapan demi tahapan dari proses intruksi hingga compile yang disajikan bentuk simulasi dan visualisasi (histogram) serta beberapa parameter dari proses tersebut (average waiting time, average burst time, tick count dan instruction count).
Design of Patient Complaint Information System at Qadr Hospital For Health Services Website Based Ulum, Muhamad Bahrul; Syahiradania, Azahra
Poltanesa Vol 24 No 2 (2023): December 2023
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v24i2.2938

Abstract

Hospitals are health care facilities that are required to create patient satisfaction. If the services they receive or enjoy are far below the standards they expect, then people will lose interest in getting these services or services. The mismatch between expectations and the services provided will lead to complaints and complaints from the public about the services provided, thus adversely affecting the image of the health care facility. The problem that occurs at Qadr Hospital is that it is difficult for patients to submit complaints about health services, although there is an assessment questionnaire in the form of a google form, the link cannot be accessed when the patient is at home so that user inconvenience can result in reduced patient participation in providing feedback, so that complaints that should be heard by the hospital can be missed, and hospital service quality has difficulty tracking and analysing patient complaints effectively so that it can hinder the process and service improvement. So that Qadr Hospital plans to create a website-based application that will be used as a medium to facilitate patients in channeling complaints related to the health services provided. In designing this application using the Rapid Application Development (RAD) development method.
A, PENGEMBANGAN SISTEM DETEKSI WAJAH MENGGUNAKAN DEEP LEARNING UNTUK APLIKASI ABSENSI OTOMATIS DI PERUSAHAN ARIS MOTOR MUHAMAD BAHRUL ULUM
TECHSI - Jurnal Teknik Informatika Vol. 16 No. 2 (2025)
Publisher : Teknik Informatika Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/techsi.v16i2.25212

Abstract

Employee attendance is one of the important aspects of company management. However, the manual attendance process often causes issues such as queues, inaccurate record-keeping, and potential fraud. Therefore, this study aims to develop an automated attendance system based on facial recognition by utilizing Deep Learning technology, specifically the Convolutional Neural Network (CNN) method, using the Python programming language.This system is designed to automatically detect and recognize employees' faces through a camera, so that the attendance process can be carried out more quickly, efficiently, and with minimal contact. The model training process is conducted by collecting employee facial data, which is then processed into embeddings using CNN. Subsequently, the facial detection results are matched with the data stored in the database.This study was conducted at Aris Motor company as the trial location for the system. The test results showed that the system was capable of recognizing This research was conducted at Aris Motor company as the trial location for the system. The test results showed that the system was able to recognize employees' faces with a good level of accuracy and provide feedback such as “Welcome [name]” when they first check in, as well as detect if a face has previously checked in or is not recognized at all.With this system, it is expected that the attendance process at Aris Motor will become more modern, practical, and reliable, while also serving as an initial step towards the digitalization of attendance systems in the workplace.Keywords: Automatic Attendance, Face Detection, Deep Learning, CNN, Python, Aris Motor
Aplikasi Monitoring Penderita Kardiovaskular dan Obesitas Berbasis Mobile Internet of Things (MIoT) Muhamad Bahrul Ulum; Nizirwan Anwar; Riya Widayanti; Alivia Yulfitri; Hendra Bratanata
Jurnal Komputasi Vol. 8 No. 2 (2020)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v8i2.2648

Abstract

According to the World Health Organization (WHO), coronary heart disease is the biggest cause of death in Indonesia. In 2016, the death rate from heart disease was 122 people per 100,000 population. This figure is higher than other causes, such as stroke, tuberculosis, and diabetes. The number is increasing every year due to changes in lifestyle of Indonesian people who like to eat high-fat foods and lifestyle factors that affect the risk of cardiovascular disease, including lack of physical activity, smoking, unhealthy diet, and alcohol consumption habits. This study aims to monitor the heart rate of cardiovascular sufferers with the mobile internet of things (MIoT) approach. Using the ESP8266 Wifi module for communication to the database server and heart rate sensor to detect heart rate then convert it to Bit per Minute (BPM). Every patient with cardiovascular disease can be monitored using a sensor connected to a smartphone to record any changes that occur. The research method consists of several stages, namely: Prepare, Plan, Design, Implement, Operate and Optimize (PPDIOO). The results obtained in the form of a aplication heart rate monitoring for patients with cardiovascular for healthcare services.
Perancangan Sistem Monitoring Detak Jantung Bagi Penderita Kardiovaskular Berbasis Internet of Things Muhamad Bahrul Ulum; Masmur Tarigan
Jurnal Komputasi Vol. 8 No. 1 (2020)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v8i1.2419

Abstract

The form of an archipelago and densely populated country of Indonesia has its own constraints in efforts to deal with health, especially health for patients with cardiovascular disease. This disease is one of the highest causes of death in Indonesia. Based on data from the Ministry of Health, cardiovascular disease since 2007 is the highest cause of death in Indonesia with more than 220,000 deaths each year. While the number of cases exceeds tuberculosis, which has a death toll of 127,000. The number is increasing every year due to changes in lifestyle of Indonesian people who like to eat high-fat foods and lifestyle factors that affect the risk of cardiovascular disease, including lack of physical activity, smoking, high-fat diets, and alcohol consumption habits. This study aims to monitor the heart rate of cardiovascular sufferers with the internet of things (IoT) approach. Every patient with cardiovascular disease can be monitored using a sensor connected to a PC to record any changes that occur. The research method consists of several stages, namely: Prepare, Plan, Design, Implement, Operate and Optimize (PPDIOO). The results obtained in the form of a prototype heart rate monitoring system for patients with cardiovascular. The patient's health can be monitored at any time by the hospital doctor without the patient having to come regularly to the hospital.
IMPLEMENTASI METODE FUZZY LOGIC PADA SISTEM PAKAR PENDETEKSI KECERDASAN ANAK Devira Asha; Muhamad Bahrul Ulum; Yuli Asmi Rozali
Jurnal Komputasi Vol. 9 No. 2 (2021)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v9i2.2861

Abstract

The multiple intelligences proposed by Dr. Howard Gardner in his book entitled Frame of Mind states that every child has unique and different characteristics and does not only focus on one intelligence. Parents who don't know how to improve their children's intelligence from all categories of intelligence, and only focus on language and logic intelligence, are considered as intelligent benchmarks for children. This expert system application aims to facilitate parents in knowing the level of intelligence of children so that children get the opportunity to develop at least from various dimensions such as musical, kinesthetic, intra and interpersonal, etc. This study applies calculations using the Mamdani fuzzy logic method. The results of this study are able to identify children's intelligence by designing a fuzzy expert system where input variables and output variables are generated from interviews with experts who produce 45 input variables and 9 outputs. For example, the calculation in this study uses 5 input variables and 1 output variable with the number of rules generated, namely 243 rules. The results obtained from the manual calculation of the fuzzy logic method are 50.68 with a fairly intelligent level of medium level. The system development method used in this research is the extreme programming method with the Laravel framework. This website-based expert system application is also a place for information on multiple intelligences where this information will be useful to find out how to improve children's intelligence from all categories of intelligence.
RANCANG BANGUN SISTEM MONITORING KUALITAS AIR PADA BUDIDAYA IKAN HIAS AIR TAWAR BERBASIS IOT (INTERNET OF THINGS) WAHYU DEWANTORO; Muhamad Bahrul Ulum
Jurnal Komputasi Vol. 9 No. 2 (2021)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v9i2.2858

Abstract

Ikan hias adalah hasil budidaya yang sangat diminati oleh berbagai lapisan masyarakat baik di dalam maupun di mancanegara. Di Indonesia pada tahun 2012 berkembang sebesar 115,16 persen. Ikan hias memiliki kapasitas dalam berbagai kondisi yang sangat dipengaruhi oleh nilai batas alami, misalnya, keadaan air, suhu, dan tingkat.keasaman (pH/ Potensial of Hidrogen), kekeruhan air. Batasan-batasan ini harus secara konsisten diamati untuk kelangsungan hidupnya. Karena permasalahan tersebut diperlukan sistem untuk mengawasi kualitas air dan dapat diakses di mana saja dengan menggunakan IoT (Internet of Things). Dalam membangun sistem pemeriksaan kualitas air untuk pengembangan ikan hias air tawar berbasis IoT menggunakan PIECES dan metode prototype pengembangan dan perencanaan dengan diagram Unified Modelling Language. Sensor yang digunakan adalah sensor pH-4502C untuk mengukur tingkat pH/tinggat keasaman pada air kolam atau aquarium, sensor DS18B20 untuk mengukur suhu pada air kolam atau aquarium, sensor turbidity SENO189 untuk mengukur tingkat kekeruhan pada air kolam atau aquarium, buzzer yang berfungsi sebagai aksi sistem ketika air pada kolam keruh, dan juga relay berfungsi sebagai aksi untuk menyalakan pompa pH naik atau pH turun ketika nilai pH di kurang baik, serta mikrokontroler ESP32 yang digunakan untuk mengolah data sensor dan mengirim data sensor melalui jaringan wireless, data yang dikirim oleh ESP32 dapat di monitoring melalui aplikasi android.
Aplikasi HijaiyahKu Berbasis Android Muhamad Bahrul Ulum; Anik Hanifatul Azizah; Sandfreni Sandfreni
Jurnal Komputasi Vol. 10 No. 2 (2022)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v10i2.3148

Abstract

Early introduction to hijaiyah letter to children is important, for it is the basic of Al-Qur’an reading as Moslem’s guidance in life. Al-Qur’an reading learning method is often given in direct teaching by teachers with the help of books introducing and teaching hijaiyah letters. Introducing hijaiyah letters to children requires effective and engaging teaching method, one of them is by teaching by playing. Using games as medium will create fun atmosphere for an interactive teaching process. This Android based introducing method utilized prototype method, from research stage to application test stage. The result of this application design is an application that may help ease children in learning hijaiyah letters. With this application, children can learn about hijaiyah letters while playing, and train their memories and concentrations with the help of smartphone technology.
Aplikasi DonasiKu Berbasis Android Muhamad Bahrul Ulum; Habibullah Akbar; Anik Hanifatul Azizah
Jurnal Komputasi Vol. 10 No. 1 (2022)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v10i1.2933

Abstract

Used goods suitable for use are old goods that have been used once or more than once and are still reasonable to be reused. Most of these used goods are no longer used because they already have other, better substitutes. The current management system for these items is usually only collected and stored in the warehouse or even many are left scattered in the corner of the house until the items become a pile. Rather than being left alone, it is better to reuse these items. For example, by donating items that are still reasonable to be reused to people who need it more. Donations in the form of used goods are still poorly managed, information on donation activities that are held is less spread out and if there is, it is not necessarily reliable. So far, the management of the existing donation system is only for donations in the form of money, so the idea of a solution emerged in the form of developing an Android-based donation system application. To analyze the problem used causal analysis based on the data to be collected. The method used for software development is extreme programming. This application can be a solution to the problem of managing the used goods donation system so that people can make donations in the form of goods that are faster, easier to collect and distribute.
Aplikasi Sistem Pakar Untuk Diagnosa Penyakit Ibu Hamil Menggunakan Metode Forward Chaining Berbasis Website Samuel Agave; Muhamad Bahrul Ulum
Jurnal Komputasi Vol. 11 No. 1 (2023)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v11i1.3070

Abstract

Kehamilan merupakan suatu proses yang dialami oleh seluruh wanita di dunia. Dalam melewati proses kehamilan seorang wanita harus mendapatkan persiapan yang benar. Saat hamil banyak perubahan yang terjadi pada tubuh ibu hamil, salah satunya adalah ketahan tubuh yang menjadi berkurang. Penyakit apapun dapat dengan mudah menyerang tubuh apabila ibu hamil tidak menjaga kebugaran serta kesehatan. Salah satu masalah yang dihadapi oleh ibu hamil pada masa kehamilannya yaitu kurangnya informasi mengenai kesehatan pada ibu hamil dan keluhan yang dirasakan pada ibu hamil dianggap hal yang wajar tanpa memeriksakan gejala yang dialami, hal ini memicu tingginya ibu hamil yang terdiagnosis penyakit kehamilan yang menyebabkan meningkatnya Angka Kematian Ibu (AKI). Karena permasalahan tersebut diperlukan aplikasi sistem pakar untuk membantu ibu hamil dalam mendapatkan informasi mengenai penyakit kehamilan dan melakukan diagnosa dini mengenai penyakit kehamilan. metode yang digunakan dalam pembuatan aplikasi sistem pakar ini adalah forward chaining. Penelitian ini menggunakan metode pengembangan sistem extreme programming dengan php native sabagai coding utama dalam pembuatan aplikasi. Hasil dari penelitian ini yaitu dapat memberikan informasi informasi mengenai penyakit kehamilan dan melakukan diagnosa dini mengenai penyakit kehamilan berdasarkan knowledge base, yang terdiri dari 6 data penyakit, 30 data gejala, dan 6 data solusi.
Co-Authors Achmad Dwitama Karisma Achmad Fansuri Achmad Junaedi Sitika Akbar, Habibullah Alivia Yufitri ANANDA DWI RIZKYTA Anggun Mustika Sari Apriani, Lysa Azahra Syahiradania Syahira Azizah, Anik Hanifatul Binastya Anggara Sekti Budi Tjahjono Calvin Ramadhani Alfahrezi Chrystian Dwi Putra Yunus Devira Asha Diah Aryani, Diah Diki Anugrah Pratama Doni Antoro Erry Yudhya Mulyani Fadli, Muhammad Rijal Fahreza Bahran Fatonah, Khusnul Fenina Twince Tobing Fikri Saefullah Hani Dewi Ariessanti Hapiz Nuddin Setiadi Hendra Bratanata Hendry Gunawawan Hidayat, Irsan Nur Ichwani, Arief Imam Mulyana Imam Santosa Irawan, Bambang Kundang Karsono Juman Meria, Lista Mukhamad Abduh Nina Nurhasanah, Nina Nixon Erzed Nizirwan Anwar Nugroho, Oktian Fajar Pangestu, Rafi Kurnia Putra, Syahrizal Dwi Rafi Kurnia Pangestu Rahaman, Mosiur RATNA WIJAYANTI Rian Adi Pamungkas Riska Zulfiqoh Riya Widayanti riyadi, Virgy andrean Roesfiansjah Rasjidin Rozali, Yuli Asmi Ryan Putra Laksana Sadikin, Irma Savitri Sahrudin Sahrudin Samuel Agave Sandfreni, Sandfreni Susilo, Muhammad Rizky Aulia Syahiradania, Azahra Syahrir Akil Syarof, Siti Minatus Tarigan, Masmur Ummanah Ummanah, Ummanah Vitri Tundjungsari WAHYU DEWANTORO Widodo, Agung Mulyo Yulfitri, Alivia Yulhendri Yulhendri Yumelda Sari Yunita Fauzia Achmad Zalzabila Syafa Nurul Arsy