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All Journal Jurnal Planologi Sultan Agung Jurnal Transformatika JOIV : International Journal on Informatics Visualization JURNAL MEDIA INFORMATIKA BUDIDARMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Manajemen Informatika dan Sistem Informasi Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Tunas Agraria J-SAKTI (Jurnal Sains Komputer dan Informatika)
Rohman, Muhammad Syaifur
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Social Sciences Transportation Other

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Perbandingan Optimasi Metode Grid Search dan Random Search dalam Algoritma XGBoost untuk Klasifikasi Stunting Pramudhyta, Nirvan Adam; Rohman, Muhammad Syaifur
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 1 (2024): Januari 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i1.6965

Abstract

Stunting is a condition of stunted physical growth in children due to chronic nutritional deficiencies with serious impacts on health and psychological aspects. The impacts include decreased self-esteem, learning difficulties, impaired concentration, critical thinking problems, and lower economic contributions as adults. This study aims to optimize the XGBoost classification model using the Grid Search and Random Search methods, thereby improving the accuracy of detecting stunting and obtaining an accurate and efficient diagnosis. Seeing the danger and alarming prevalence rate of stunting, signaling the urgency of handling this problem for the welfare of future generations, an automatic classification model is needed to avoid subjectivity and potential errors in the manual decision-making process. XGBoost needs optimization because it has parameters that require adjustment to maximize accuracy. Comparison of two optimization models is important to understand the advantages and disadvantages of each because they have different approaches in finding the best combination. The study used 10,000 data from Krobokan Health Center with attributes of gender, age, birth weight, birth height, weight at measurement, height at measurement, and category. The largest increase in accuracy was obtained by the Grid Search model with an increase in XGBoost accuracy of 5.81% from 83.28% to 89.09%. The Random Search model increased the accuracy by 5.43%, reaching an accuracy of 88.71%. The choice of both models depends on time and resource preferences. Random Search provides higher time efficiency than Grid Search. This research can contribute to identifying children at risk of stunting so that intervention actions can be carried out more efficiently.
Prediksi Banjir Berdasarkan Indeks Curah Hujan Menggunakan Deep Neural Network (DNN) Fafaza, Safira Alya; Rohman, Muhammad Syaifur; Pramunendar, Ricardus Anggi; Sri Winarsih, Nurul Anisa; Saraswati, Galuh Wilujeng; Saputra, Filmada Ocky; Ratmana, Danny Oka; Shidik, Guruh Fajar
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 1 (2024): Januari 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i1.7098

Abstract

Floods are natural disasters that often occur and are among the most destructive because they have significant economic and social impacts. Accurate flood predictions are essential to manage risk and organize emergency response planning effectively. This research uses Deep Neural Network (DNN) to build a flood forecasting model that relies on rainfall index indicators and captures complex and ever-changing patterns obtained from rainfall index data. Using historical information from flood disaster events in Kerala, India, an analysis was conducted to assess the impact of various factors, particularly in learning rate and optimizer type, on model performance. The experimental results show that the type of optimizer is a crucial factor in determining the model's effectiveness, as shown in the ANOVA statistics with a P-value of 0.008493, much lower than the general threshold of 0.05. This is because this type of optimizer can significantly improve prediction accuracy. With the Adam optimizer type, the learning rate range is between 0.1 and 0.4, showing an accuracy level of up to 100%. However, the choice of learning rate does not significantly impact, indicating that the main emphasis on parameter adjustment should be determined accurately. Therefore, by carrying out appropriate parameter adjustments and thorough validation to find the optimal configuration that can increase accuracy in predicting flood disasters based on rainfall indices, the DNN model has the potential to become a tool that can assist in flood risk planning and management.
Perbandingan Efektivitas Nave Bayes dan SVM dalam Menganalisis Sentimen Kebencanaan di Youtube Azzahra, Tarissa Aura; Winarsih, Nurul Anisa Sri; Saraswati, Galuh Wilujeng; Saputra, Filmada Ocky; Rohman, Muhammad Syaifur; Ratmana, Danny Oka; Pramunendar, Ricardus Anggi; Shidik, Guruh Fajar
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 1 (2024): Januari 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i1.7186

Abstract

Advancements in the field of Natural Language Processing (NLP) have opened significant opportunities in sentiment analysis, particularly in the context of disaster response. In today's digital era, YouTube has emerged as a primary source for the public to acquire information regarding critical events. This study explores and compares two dominant sentiment analysis techniques, namely Naive Bayes and Support Vector Machine (SVM). It utilizes YouTube comment data related to natural disasters to test the effectiveness of these algorithms in identifying and classifying public sentiment as neutral, positive, or negative. The process involves collecting comment data, pre-processing the data, and applying Term-Frequency-Inverse Document Frequency (TF-IDF) weighting to prepare the data for analysis. Subsequently, the performance of both models is evaluated based on metrics such as accuracy, precision, recall, and F1 score. The results indicate that while both algorithms have their strengths and weaknesses, SVM tends to show better performance in sentiment classification, especially in terms of accuracy and precision, with an accuracy result of 92% and precision of 89% for negative predictions and 94% for positive predictions. On the other hand, Naive Bayes only achieved an accuracy of 79% and a precision of 91% for negative predictions and 73% for positive predictions. This study provides significant insights into the application of machine learning algorithms in sentiment analysis.
RANCANG BANGUN APLIKASI PENCATAT KEHADIRAN ASISTEN BERBASIS ANDROID DENGAN METODE AGILE UNTUK LABORATORIUM KOMPUTER UNIVERSITAS DIAN NUSWANTORO Naufal Fawwazi; Rohman, Muhammad Syaifur; Nurul Anisa Sri Winarsih; Yani Parti Astuti; Danny Oka Ratmana
Jurnal Manajemen Informatika dan Sistem Informasi Vol. 7 No. 2 (2024): MISI EDISI JUNI 2024
Publisher : LPPM STMIK Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36595/misi.v7i2.1154

Abstract

Perkembangan teknologi, khususnya popularitas smartphone, telah membawa perubahan signifikan dalam manajemen kehadiran, sebuah elemen administrasi penting dalam berbagai konteks, seperti pendidikan dan pekerjaan. Untuk meningkatkan efektivitas pencatatan kehadiran, penelitian ini bertujuan untuk merancang dan mengembangkan aplikasi pencatat kehadiran asisten berbasis Android dengan menerapkan metode Agile di Laboratorium Komputer Universitas Dian Nuswantoro. Mengadopsi metode Agile, penelitian ini mencakup seluruh siklus pengembangan, dengan melibatkan pengguna secara aktif. Proses perancangan dan pengembangan melibatkan pengguna dalam keperluan merancang antarmuka aplikasi dan desain alur kerja sistem, serta mengembangkan sistem dengan bahasa pemrograman Kotlin. Pengujian berlangsung selama tujuh hari efektif dengan implementasi langsung di lingkungan laboratorium komputer, dengan hasil User Acceptance Test (UAT) menunjukkan tingkat kesesuaian fungsional aplikasi mencapai rata-rata 98,17%. Penggunaan aplikasi ini diharapkan dapat meningkatkan efisiensi manajemen kehadiran asisten laboratorium dan memberikan kontribusi positif pada operasional Laboratorium Komputer Universitas Dian Nuswantoro. Kesimpulan penelitian ini menegaskan keberhasilan penerapan metode Agile dalam pengembangan aplikasi pencatat kehadiran asisten berbasis Android.
Forecasting Air Quality Indeks Using Long Short Term Memory Ramadhani, Irfan Wahyu; Saputra, Filmada Ocky; Pramunendar, Ricardus Anggi; Saraswati, Galuh Wilujeng; Winarsih, Nurul Anisa Sri; Rohman, Muhammad Syaifur; Ratmana, Danny Oka; Shidik, Guruh Fajar
Journal of Applied Informatics and Computing Vol. 8 No. 1 (2024): July 2024
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v8i1.7402

Abstract

Exercise offers significant physical and mental health benefits. However, undetected air pollution can have a negative impact on individual health, especially lung health when doing physical activity in crowded sports venues. This study addresses the need for accurate air quality predictions in such environments. Using the Long Short-Term Memory (LSTM) method or what is known as high performance time series prediction, this research focuses on forecasting the Air Quality Index (AQI) around crowded sports venues and its supporting parameters such as ozone gas, carbon dioxide, etc. -others as internal factors, without involving external factors causing the increase in AQI. Preprocessing of the data involves removing zero values "‹"‹and calculating correlations with AQI and the final step performs calculations with the LSTM model. The LSTM model which adds tuning parameters, namely with epoch 100, learning rate with a value of 0.001, and batch size with a value of 64, consistently shows a reduction in losses. The best results from the AQI, PM2.5, and PM10 features based on performance are MSE with the smallest value of 6.045, RMSE with the smallest value of 4.283, and MAE with a value of 2.757.
Pembentukan Etika Digital melalui Program Belajar dan Bermain dalam Pemanfaatan Internet di SD Islam Bilingual Annisa Ratmana, Danny Oka; Sri Winarsih, Nurul Anisa; Pramunendar, Ricardus Anggi; Rohman, Muhammad Syaifur; Alvin, Fris
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 7, No 2 (2024): MEI 2024
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v7i2.2122

Abstract

Pada era kontemporer ini, internet telah menjadi suatu elemen yang tak terpisahkan dan menjadi kebutuhan esensial bagi seluruh lapisan masyarakat, tak terkecuali dari kalangan anak-anak hingga orang tua. Dalam konteks kehidupan sehari-hari, internet digunakan untuk berbagai keperluan seperti aktivitas pekerjaan, proses pembelajaran, transaksi berbelanja, dan beragam fungsi lainnya. Meskipun terdapat berbagai manfaat yang dapat diperoleh melalui pemanfaatan internet, perlu diakui bahwa penggunaannya juga membawa risiko tertentu, seperti potensi kecanduan dan penyebaran informasi yang tidak valid. Oleh karena itu, menjadi suatu keharusan bagi para pengguna internet untuk menjalankan aktivitasnya dengan penuh kebijaksanaan dan tanggung jawab. Dalam konteks ini, perlu ditekankan bahwa pengguna internet, terutama anak-anak usia sekolah dasar, mungkin belum sepenuhnya mampu menggunakan internet secara bijak. Hal ini disebabkan oleh keterbatasan dalam hal kematangan mental, pola pikir, dan kedewasaan dalam berperilaku. Sebagai contoh, di lingkungan Sekolah Dasar Islam Bilingual Annisa, sebagian besar siswa telah memiliki eksposur terhadap internet, namun ada pula yang belum memahami cara menggunakan internet dengan bijak. Penting untuk dicermati bahwa penggunaan internet yang tidak terkontrol dapat berpotensi mengekspos anak-anak terhadap konten yang tidak pantas, bahkan dapat mempengaruhi mereka melalui penyebaran informasi yang ambigu. Mengobservasi situasi dan permasalahan yang timbul, kami, sebagai penulis, bermaksud memberikan bantuan kepada anak-anak Sekolah Dasar Islam Bilingual Annisa dalam meningkatkan pemahaman mereka terkait penggunaan internet secara bijak
Penalaran Logika menggunakan Scratch pada SD Negeri Pendrikan Lor 03 Winarsih, Nurul Anisa Sri; Rohman, Muhammad Syaifur; Saraswati, Galuh Wilujeng; Mulyanto, Edy; Mardiantara, Naya Alifiah az Azar Putri
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 7, No 2 (2024): MEI 2024
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v7i2.2258

Abstract

Kemampuan berpikir kritis dan logis sangat penting untuk perkembangan kognitif siswa di era perubahan zaman yang cepat. Meskipun hasil Program for International Student Assessment (PISA) menunjukkan bahwa kemampuan berpikir kritis siswa di Indonesia masih rendah, namun potensi peningkatan dapat terlihat. Indonesia memiliki high equity meskipun berada pada kuadran low performance, menunjukkan kesempatan untuk pengembangan lebih lanjut. Kemampuan berpikir logis melibatkan analisis masalah secara sistematis, yang dapat ditingkatkan melalui model pembelajaran yang tepat. Dalam konteks ini, Scratch, sebuah platform pemrograman visual, ditunjukkan sebagai solusi yang menarik karena memadukan pengalaman belajar dengan aktivitas yang menyenangkan bagi anak-anak. Dalam penelitian ini, Scratch digunakan untuk melatih penalaran logika pada siswa sekolah dasar. Hasilnya para siswa dapat lebih baik mengaplikasikan konsep logika dalam menyelesaikan masalah melalui pembuatan game di Scratch. Oleh karena itu, pengenalan pemrograman komputer sejak dini melalui platform seperti Scratch sangat direkomendasikan sebagai upaya untuk mempersiapkan generasi mendatang dalam menghadapi perkembangan teknologi yang pesat.
Pengembangan Aplikasi Dewan Masjid Indonesia (DMI) Berbasis Ekonomi Umat Dengan Metode Waterfall Winarsih, Nurul Anisa Sri; Fanani, Ahmad Zainul; Saraswati, Galuh Wilujeng; Rohman, Muhammad Syaifur
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.379

Abstract

The conventional economic system has been developing for a long time, followed by the Islamic economic system which is currently developing rapidly in Indonesia. Sharia economic activities are based on the rules of the Koran regarding right and wrong, good and bad, and halal and haram rules. The background of sharia business ethics is the Prophet Muhammad SAW which is based on the Al-Quran and Hadith. The sharia economy can be seen with the emergence of Islamic banks, almost all major banks in Indonesia have sharia branches. Not only that, e-money and sharia payment gateways already exist. This is based on the large number of Indonesian people who adhere to Islam and the increasing awareness of Muslims in Indonesia in implementing the Islamic economic system. Since March 2, 2020, the Corona virus or Covid-19 pandemic has entered Indonesia. Many employees become unemployed. 50% of MSMEs could go bankrupt in the next few months. Whereas small businesses make a big contribution to the absorption of jobs in Indonesia which creates income for the population. The management of the Semarang City DMI organization took the initiative to ease the burden on the people, especially in the city of Semarang by making the DMI application based on the people's economy. Waterfall is the method used in this research. Waterfall is suitable for application development with a complete needs analysis. After the PSBB period ended, there were many unemployed who tried their luck by selling small businesses and MSMEs opened slowly. It is hoped that the DMI application can introduce the business of the community around the mosque and other people can buy the business easily through the application.
Pengembangan Aplikasi Dewan Masjid Indonesia (DMI) Berbasis Ekonomi Umat Dengan Metode Waterfall Winarsih, Nurul Anisa Sri; Fanani, Ahmad Zainul; Saraswati, Galuh Wilujeng; Rohman, Muhammad Syaifur
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.379

Abstract

The conventional economic system has been developing for a long time, followed by the Islamic economic system which is currently developing rapidly in Indonesia. Sharia economic activities are based on the rules of the Koran regarding right and wrong, good and bad, and halal and haram rules. The background of sharia business ethics is the Prophet Muhammad SAW which is based on the Al-Quran and Hadith. The sharia economy can be seen with the emergence of Islamic banks, almost all major banks in Indonesia have sharia branches. Not only that, e-money and sharia payment gateways already exist. This is based on the large number of Indonesian people who adhere to Islam and the increasing awareness of Muslims in Indonesia in implementing the Islamic economic system. Since March 2, 2020, the Corona virus or Covid-19 pandemic has entered Indonesia. Many employees become unemployed. 50% of MSMEs could go bankrupt in the next few months. Whereas small businesses make a big contribution to the absorption of jobs in Indonesia which creates income for the population. The management of the Semarang City DMI organization took the initiative to ease the burden on the people, especially in the city of Semarang by making the DMI application based on the people's economy. Waterfall is the method used in this research. Waterfall is suitable for application development with a complete needs analysis. After the PSBB period ended, there were many unemployed who tried their luck by selling small businesses and MSMEs opened slowly. It is hoped that the DMI application can introduce the business of the community around the mosque and other people can buy the business easily through the application.
Pelatihan Logika Dasar Pemrograman menggunakan Code.org pada SMA Negeri 1 Bergas Winarsih, Nurul Anisa Sri; Pramunendar, Ricardus Anggi; Saputra, Filmada Ocky; Rohman, Muhammad Syaifur; Ratmana, Danny Oka; Hamid, Maulana As’an; Kartika, Gita
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 8, No 1 (2025): JANUARI 2025
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v8i1.2779

Abstract

Program "Pelatihan Logika Dasar Pemrograman Menggunakan Situs Web Code.org" bertujuan untuk menyediakan platform yang komprehensif dan mudah diakses bagi individu yang ingin meningkatkan keterampilan dasar logika pemrograman mereka. Program ini menggunakan situs web Code.org, sumber daya online yang ramah pengguna, untuk menyampaikan modul pelatihan yang menarik dan interaktif. Peserta akan dibimbing melalui konsep dasar logika pemrograman, membentuk pemahaman yang kuat tentang prinsip-prinsip kunci yang menjadi dasar berbagai bahasa pemrograman. Integrasi platform Code.org memastikan pengalaman belajar yang intuitif, menjadikannya cocok untuk pemula sambil menawarkan wawasan berharga bagi mereka yang memiliki latar belakang pemrograman tertentu. Pendekatan terstruktur dan latihan praktis program memberdayakan peserta untuk mengembangkan keterampilan dasar pemecahan masalah dan berpikir algoritmik, yang pada akhirnya mempersiapkan mereka untuk upaya pemrograman yang lebih canggih.
Co-Authors Afrinaldi Afrinaldi Ahmad Syauqani, Ahmad Ahmad Zainul Fanani Alvin, Fris Azzahra, Tarissa Aura Danny Oka Ratmana Dwi Puji Prabowo, Dwi Puji Fafaza, Safira Alya Guruh Fajar Shidik Hamid, Maulana As’an Kartika, Gita Mardiantara, Naya Alifiah az Azar Putri Megantara, Rama Aria Mulyanto, Edy Naufal Fawwazi Pergiwati, Dewi Pramudhyta, Nirvan Adam Pulung Nurtantio Andono Ramadhani, Irfan Wahyu Ratmana, Danny Oka Ricardus Anggi Pramunendar Safira, Maya Saputra, Filmada Ocky Saraswati, Galuh Wilujeng Winarsih, Nurul Anisa Sri Yani Parti Astuti