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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI CYBERNETICS BULETIN AL-RIBAATH Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer Teknosains : Jurnal Sains,Teknologi dan Informatika Indonesian Journal of Innovation Science and Knowledge
Fakhruzi, Izhan
Universitas Muhammadiyah Pontianak
Religion Agriculture, Biological Sciences & Forestry Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Pemberdayaan Masyarakat Kampung Binaan Nasyiatul Aisyiyah Kota Pontianak Menuju Kampung Tangguh dan Sehat Linda Suwarni; Selviana Selviana; Izhan Fakhruzi; M. Khairul Anwari; Rika Putri Tanassy
Jurnal Buletin Al-Ribaath Vol 19, No 1 (2022): Buletin Al-Ribaath
Publisher : Universitas Muhammadiyah Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29406/br.v19i1.3856

Abstract

Kampung Merak merupakan wilayah binaan Nasyiatul Aisyiyah Kota Pontianak yang terletak di Kelurahan Mariana Kecamatan Pontianak Kota. Kampung Merak dibinai karena memperhatikan banyak pertimbangan mulai dari terdampak pandemic Covid-19, rendahnya pendidikan dan keterampilan, rendahnya pengeatahuan dan kesadaran PHBS, rendahnya penerapan protokol kesehatan, serta tingginya kejadian kekerasan seksual pada anak. Akhirnya solusi yang dapat dilakukan ialah dengan mengusulkan kegiatan berbasis pemberdayaan masyarakat agar menjadikan kampung tangguh dan sehat dengan melibatkan kader Nasyiatul Aisyiyah Kota Pontianak yang ada di Kampung Merak sebagai pelaksana kegiatan ini. Metode yang digunakan ialah menggunakan metode Participatory Rural Appraisal (PRA), yaitu pendekatan yang menekankan pada keterlibatan masyarakat dalam keseluruhan kegiatan. Tujuan dari kegiatan ini ialah untuk meningkatkan peran kader Nasyiatul Aisyiyah Kota Pontianak sebagai mitra dalam melakukan pembinaan dan pendampingan serta memberdayakan masyarakat agar berperan aktif dalam membangun kampungnya. Dalam kegiatan ini dilakukan penyuluhan dan pendampingan kesehatan, peningkatan keterampilan masyarakat sebagai modal dalam melakukan wirausaha dan peningkatan dan pengembangan ekonomi masyarakat berdasarkan potensi yang ada melalui kegiatan pelatihan dan pendampingan. Dari hasil uji di dapatkan p value pada variabel pengetahuan 0.021< 0,05 dan variabel sikap 0.002 < 0.05 sehingga disimpulkan adanya peningkatan skor pengetahuan dan sikap yang signifikan. Dengan kata lain, edukasi pencegahan kekerasan seksual pada anak pada pelatihan dan pendampingan dalam pemberdayaan masyarakat untuk mewujudkan kampung tangguh dan sehat ini efektif meningkatkan pengetahuan dan sikap masyarakat.
Perbandingan Model Arima dan Deep Learning untuk Peramalan Kasus Covid-19 Izhan Fakhruzi; Alda Cendekia Siregar; Putri Yuli Utami; Rodibelle F Leona
CYBERNETICS Vol 6, No 02 (2022): CYBERNETICS
Publisher : Universitas Muhammadiyah Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29406/cbn.v6i02.5557

Abstract

Jumlah kasus Covid-19 di kawasan Asia Tenggara terbilang tinggi. Di Asia Tenggara, Indonesia memiliki jumlah kasus dan kematian positif covid-19 tertinggi, diikuti oleh Filipina dan Malaysia. Penelitian ini bertujuan untuk menggunakan metode peramalan time series untuk memprediksi jumlah kasus Covid-19 sehingga akan membantu pemerintah di kawasan Asia Tenggara untuk membuat kebijakan berdasarkan hasil peramalan tersebut. Dua metode peramalan populer untuk data time series adalah Autoregressive Integrated Moving Average (ARIMA) dan Long Short Term Memory (LSTM). Kedua metode tersebut dibandingkan performa dan akurasinya untuk memprediksi jumlah kasus Covid-19. Hasil eksperimen menunjukkan bahwa LSTM mengungguli ARIMA dalam memprediksi jumlah kasus covid-19 di Asia Tenggara.
Meningkatkan Kemampuan Model dalam Memprediksi Penyakit Jantung dengan Algoritma NCL dan GridSearchCV Zulfan Ahmadi; Asrul Abdullah; Izhan Fakhruzi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 4 (2023): Oktober 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i3.6142

Abstract

Heart disease is the main cause of death in the world. To reduce this high mortality rate, accurate prediction capabilities are needed in warning people with heart disease to prevent and manage this condition. This study uses a machine learning model to predict heart disease. The purpose of this research is to improve the ability of a machine learning classification model, namely Logistic Regression (LR), in predicting heart disease. So that prediction errors that can harm patients can be significantly reduced. To achieve this goal, research is carried out using two important approaches, namely data preparation and model optimization. At the data preparation stage, data imbalance problems were found between people with heart disease and non-heart disease sufferers. To deal with this problem, the Neighborhood Cleaning Rule (NCL) algorithm is used to correct data imbalances. The use of NCL in the data preparation stage has a significant impact on improving the performance of the prediction model. Furthermore, at the model optimization stage, the GridSearchCV method is used to find the best hyperparameter combination in the Logistic Regression (LR) algorithm. By finding optimal hyperparameters, the performance of the prediction model can be improved. In addition, this study also implemented Weighted Logistic Regression which allows setting class weights, which also contributes to improving model performance. The results of testing the model using the evaluation metrics Accuracy, Recall, and Area Under Curve (AUC) show an increase in the ability of the model. The recall score increased from 0.10 to 0.93, and the AUC score increased from 0.83 to 0.98. This study used a dataset obtained from Kaggle from the Centers for Disease Control and Prevention (CDC). With better predictive ability in identifying heart disease, it is hoped that it can provide accurate early warning to individuals at risk, thereby significantly reducing mortality from heart disease.
Sistem Pendukung Keputusan Penerima Bantuan Rumah Layak Huni Menggunakan ROC Dan SAW Heni Kriswanti; Syarifah Putri Agustini Alkadri; Izhan Fakhruzi
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 10 No 4 (2023): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v10i4.6483

Abstract

In addition to food, clothing, and shelter, shelter is one of the basic human needs. The house is also a living space and serves as protection from climate change and other living things. This research introduces the Ranc Order Centroid (ROC) method and the Simple Additive Weighting (SAW) method in the decision support system of home aid recipients, and develops a decision support system that can be used by aid providers. The system uses PHP and MySql programming languages as databases. The methodology used is Unified Modeling Language (UML) as the system design. The test used is black box testing. The end result of this research is the creation of a series of decision support systems for recipients of home assistance and communities in need of support.
Travel application itinerary using the traveling salesman problem method and the held-karp algorithm Ade Zaldi Eureka Zendar Ade; Syarifah Putri Agustini Alkadri; Izhan Fakhruzi
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 11 No 1 (2024): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK-Sekolah Tinggi Teknologi Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v11i1.682

Abstract

The Kapuas Hulu Regency is home to several fascinating tourist spots, yet finding directions inside the regency can be challenging for visitors. The Held-Karp Algorithm can be used to find the fastest route between any two cities with only one stop, which is known as the Traveling Salesman Problem (TSP). Bellman, Held, and Karp created this dynamic program in 1962 with the goal of minimizing travel time and expenses. The number of cities to be visited (forming nodes in the graph), the point of origin (the starting node in the graph), and the distances between the cities (weights between the nodes) must all be specified in the model of the TSP problem before the Held-Karp Algorithm can be applied. The focus of this study will be tourist destinations in West Kalimantan's Kapuas Hulu Regency. A system that uses the Held-Karp Algorithm to find the shortest paths between different tourist spots in Kapuas Hulu Regency will be built as part of this project. As a result, this technology will help tourists plan their trips effectively and minimize their expenditures for both time and transportation
Klasifikasi Penyakit Hipertensi Menggunakan Metode Random Forest Novianti Novianti; Syarifah Putri Agustini Alkadri; Izhan Fakhruzi
Progresif: Jurnal Ilmiah Komputer Vol 20, No 1: Februari 2024
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v20i1.1663

Abstract

This study discusses the classification of hypertension using the Random Forest method with a focus on age as the main factor. Given the serious impact of hypertension on health, research aims to simplify understanding of the problem, identify treatment gaps, and propose algorithm-based solutions. Using the PPG-BP Database, research methods involve problem identification, data collection, preprocessing, Random Forest modeling, hyperparameter tuning, and model evaluation. The findings show a high level of accuracy, 98% on training data and 95% on testing data, with the model being able to predict hypertension classification based on the variables age, blood pressure, heart rate and body mass index. Despite data imbalance, the preprocessing steps proved to be effective. The research conclusions contribute to the understanding of disease classification, especially hypertension, as well as practical guidance in efforts to prevent and treat it.Keywords: Classification; Data Mining; Hypertension; Random Forest AbstrakPenelitian ini membahas klasifikasi penyakit hipertensi menggunakan metode Random Forest dengan fokus pada usia sebagai faktor utama. Dengan dampak serius hipertensi terhadap kesehatan, penelitian bertujuan untuk menyederhanakan pemahaman masalah, mengidentifikasi celah penanganan, dan mengusulkan solusi berbasis algoritma. Menggunakan PPG-BP Database, metode penelitian melibatkan identifikasi masalah, pengumpulan data, preprocessing, permodelan Random Forest, tuning hyperparameter, dan evaluasi model. Hasil temuan menunjukkan tingkat akurasi tinggi, 98% pada data training dan 95% pada data testing, dengan model mampu memprediksi klasifikasi hipertensi berdasarkan variabel usia, tekanan darah, detak jantung, dan indeks massa tubuh. Meskipun ada ketidakseimbangan data, langkah-langkah preprocessing terbukti efektif. Simpulan penelitian memberikan kontribusi pada pemahaman klasifikasi penyakit, khususnya hipertensi, serta panduan praktis dalam upaya pencegahan dan penanganannya.Kata kunci: Klasifikasi; Data Mining; Hypertension; Random Forest
Perancangan Presensi Menggunakan Radio Frequency Identification (RFID) Dan Fingerprint Ramadhan, Dwi Rohmat; Abdullah, Asrul; Fakhruzi, Izhan
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 13, No 3: Desember 2024
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v13i3.2443

Abstract

Attendance is the process of recording attendance as a form of employee discipline and professionalism. Manual attendance is very time-consuming and errors often occur in making attendance recaps because you have to count attendance one by one and attendance data can still be manipulated. Therefore, designing attendance using RFID and fingerprints can help to improve employee discipline and make the attendance process easier. Apart from that, attendance using RFID and fingerprints has advantages compared to manual attendance, such as making the attendance process easier, recording and storing attendance data in a database. Fingerprints also have quite high security because human fingers have unique fingerprints. By using the NodeMCU ESP8266 as a microcontroller that can connect to the internet, the attendance process is only done by scanning the attendance tool, and then processing the data using the website, which will produce more accurate attendance information compared to manual attendance.Keywords: Attendance; RFID; Fingerprint; NodeMCU ESP8266 microcontroller.    AbstrakPresensi merupakan proses pencatatan kehadiran sebagai bentuk kedisiplinan dan profesionalisme karyawan. Presensi manual sangat menyita waktu dan sering terjadinya kesalahan dalam melakukan pembuatan rekap presensi dikarenakan harus menghitung presensi satu per satu dan data presensi masih dapat dimanipulasi. Oleh karena itu, perancangan presensi menggunakan RFID dan fingerprint ini dapat membantu untuk meningkatkan kedisiplinan karyawan dan mempermudah dalam proses presensi, selain itu presensi menggunakan RFID dan fingerprint memiliki kelebihan dibandingkan presensi manual seperti dapat mempermudah proses presensi, perekapan serta data presensi tersimpan didalam database. Fingerprint atau sidik jari juga memiliki keamanan yang cukup tinggi dikarenakan jari manusia memiliki sidik jari yang unik. Dengan menggunakan NodeMCU ESP8266 sebagai mikrokontroler yang dapat terhubung ke internet proses presensi hanya dengan scanning pada alat presensi, kemudian dilakukan pengolahan data dengan website maka akan menghasilkan informasi kehadiran yang lebih akurat dibandingkan dengan presensi manual. 
Enhancing Leadership Skills: 2024 Training for Muhammadiyah Special Branch (PCIM) in the European and Mediterranean Area Yordan Gunawan; Faiza Husnayeni Nahar; Sigit Arie Wibowo; Muhammad Annas; Izhan Fakhruzi
ABDIMAS: Jurnal Pengabdian Masyarakat Vol. 7 No. 4 (2024): ABDIMAS UMTAS: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Universitas Muhammadiyah Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35568/abdimas.v7i4.4941

Abstract

The 2024 Leadership Training and Upgrading event for PCIM Leaders and Members in the European and Mediterranean Regions, held in Madrid, Spain, on May 11-12, 2024, marked a significant milestone in Muhammadiyah’s history. Organized by PCIM Spain, this event brought together leaders and members from various countries for the first time, showcasing unprecedented cooperation and unity. The event, themed "Building Quality Diaspora Roles in Promoting Progressive Islamic Da'wah," featured esteemed speakers discussing critical issues such as leadership, security, integration, and social services within the context of Islam and Muhammadiyah. The active involvement and endorsement of the Indonesian Ambassador to Spain, Dr. Muhammad Najib, underscored the strategic importance of this gathering, providing legitimacy and encouragement to the participants. The event also emphasized the crucial role of youth in sustaining and advancing Muhammadiyah's mission, highlighting the need for targeted training, mentorship, and practical leadership experiences. By fostering stronger ties and enhancing cooperation among PCIM branches, the event facilitated the exchange of ideas and best practices, contributing to the realization of Muhammadiyah’s vision of a progressive and inclusive Islamic movement. This pioneering initiative demonstrated the potential of international collaboration in advancing Muhammadiyah's mission and underscored the strategic importance of fostering strong ties among Muslim communities worldwide.
Perancangan UI/UX Sistem Informasi Pembayaran Air PDAM Putussibau Menggunakan Metode Activity Centered Design Nurhayati, Nurhayati; Yanti , Dewi; Fakhruzi, Izhan
Indonesian Journal of Innovation Science and Knowledge Vol. 1 No. 1 (2024): IJISK 2024
Publisher : Fakultas Pendidikan Ilmu Keguruan, Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/ijisk.v1i1.80

Abstract

Di era digital sekarang ini, teknologi sudah banyak digunakan pada berbagai bidang, salah satunya dalam metode pembayaran transaksi PDAM Putussibau. Namun demikian, PDAM belum memberikan pelayanan secara penuh kepada masyarakat seperti website yang tidak pernah update, pelayanan pengaduan pelanggan, kurangnya informasi, tidak ada nya menu transaksi pembayaran bagi pelanggan yang rumahnya berada jauh dari kantor PDAM Putussibau, sehingga membuat bingung para pengguna website tersebut. Penelitian ini bertujuan untuk dapat memudahkan konsumen dalam pertukaran informasi dalam layanan transaksi secara online sehingga konsumen tidak perlu pergi ke kantor PDAM. Metode yang digunakan dalam penelitian ini adalah Activity Centered Design yang memiliki fokus pada aktivitas stakeholder produk dan mengidentifikasi isu yang muncul dari pengguna. Perancangan interaksi diawali dengan indentifikasi aktivitas, analisis aktivitas, desain konsep, prototyping, evaluasi dan yang terakhir implementasi. Pada tahap implementasi dikembangkan prototipe interaktif dengan menggunakan software Figma. Prototipe sistem pembelajaran dievaluasi dengan mengujicobakan sistem kepada karyawan PDAM Putussibau untuk mengetahui tingkat usability sistem yang telah dibuat, dilanjutkan dengan pengisian kuesioner untuk mengukur System Usability Scale (SUS). Pengukuran SUS prototipe sistem mendapatkan nilai rata-rata sebesar 57,41 artinya website PDAM Putussibau masuk kategori acceptability rangers (Marginal), kemudian grade scale mendapatkan (f) dan adjective rating (ok).
Co-Authors Ade Zaldi Eureka Zendar Ade Alda Cendekia Siregar Alkadri, Syarifah Putri Agustini Asrul Abdullah Faiza Husnayeni Nahar Heni Kriswanti Linda Suwarni M. Khairul Anwari Muhammad Annas Novianti Novianti Nurhayati Nurhayati Putri Yuli Utami Ramadhan, Dwi Rohmat Rika Putri Tanassy Rodibelle F Leona Selviana Sigit Arie Wibowo Syarifah Putri Agustini Alkadri Yanti , Dewi Yordan Gunawan Zulfan Ahmadi