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All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Pseudocode Jurnal Transformatika Jurnal Edukasi dan Penelitian Informatika (JEPIN) JUSIFO : Jurnal Sistem Informasi Jurnas Nasional Teknologi dan Sistem Informasi Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Jurnal Teknik Komputer AMIK BSI JURNAL MEDIA INFORMATIKA BUDIDARMA Machine : Jurnal Teknik Mesin JURNAL REKAYASA TEKNOLOGI INFORMASI Justek : Jurnal Sains Dan Teknologi JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Sisfokom (Sistem Informasi dan Komputer) NUSANTARA : Jurnal Ilmu Pengetahuan Sosial CYBERNETICS BULETIN AL-RIBAATH Global Health Management Journal Jurnal Tekno Insentif JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer bit-Tech Jurnal Teknika Jurnal Sains Komputer dan Teknologi Informasi Jurnal Computer Science and Information Technology (CoSciTech) JUTECH : Journal Education and Technology Journal of Artificial Intelligence and Engineering Applications (JAIEA) Journal of Comprehensive Science J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) International Journal of Health, Engineering and Technology The Indonesian Journal of Computer Science Advance Sustainable Science, Engineering and Technology (ASSET) Journal of Digital Business and Data Science JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Jurnal Publikasi Teknik Informatika TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Asrul Abdullah
Universitas Muhammadiyah Pontianak
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Pelatihan PMBA bagi Kader Kampung Keluarga Berkualitas Desa Membangun dalam Rangka Pencegahan Stunting Indah Budiastutik; Marlenywati; Abdullah, Asrul; Karisma, Nova; Juliana Panemaan, Anita
J-Dinamika : Jurnal Pengabdian Masyarakat Vol 9 No 3 (2024): Desember
Publisher : Politeknik Negeri Jember

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

Abstract

Stunting is a disorder that attacks the growth and development of children and babies caused by chronic malnutrition which is characterized by a body length or height that is below standard. Many factors underlie the high incidence of stunting, one of which is improper Infant and Child Feeding. The growth and development of toddlers is closely related to food intake which can have a major influence on optimizing the development and growth of infants and toddlers in 1000 HPK. The Kampung KB Membangun Desa is located in the Rasau Jaya Umum Village, Kubu Raya Regency, which is the focus of accelerating stunting reduction. The stunting rate in the district reached 27.8% in 2022. The stages of community service activities begin with coordination of activities with the coordinator, then continued with counseling and training. Community service is carried out using lecture, demonstration and question and answer methods supported by PMBA module media and equipment. Evaluation of counseling activities is carried out by providing a questionnaire sheet containing 10 questions. From the results of the SPSS analysis test, the respondents knowledge during the pre-test was 66.67%. After being educated, there was an increase in respondents knowledge during the post-test of 83.3%.
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. 
Identifikasi Unsur Hara pada Lahan Pertanian Padi menggunakan Soil Integrated Sensor dan Sistem Informasi Geografis Abdullah, Asrul; Iwan, Muhammad; Alkhairi, Muhammad Ghozy
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 10, No 3 (2024): Volume 10 No 3
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v10i3.83329

Abstract

Pemenuhan SDG"™s di Indonesia salah satunya ditunjang oleh sektor pertanian. Produk pertanian dengan yang menjadi perhatian adalah padi. Pertumbuhan padi di Indonesia dapat tumbuh dengan subur karena di dalam tanah memiliki kandungan unsur hara. Kandungan unsur hara penting yang dibutuhkan oleh padi agar tumbuh dengan cepat adalah nitrogen, phosporus dan kalium / potassium (NPK). Kandungan unsur NPK yang terkandung di pupuk atau tanah melalui analisis laboratorium dengan biaya yang relatif mahal dan waktu yang lama. Untuk itu perlu cara lain yakni menggunakan soil integrated sensor. Penelitian ini memiliki tujuan untuk mendapatkan informasi terkait kandungan unsur hara pada lahan pertanian padi menggunakan soil integrated sensor serta lokasi menggunakan sistem informasi geografis. Parameter yang digunakan antara lain suhu tanah, kelembapan tanah, electrical conductivity, pH tanah, nitrogen, phosporus, potassium dan salinitas tanah. Parameter lain yang di dapatkan dari GPS adalah longitude, latitude, velocity, altitude serta tanggal pengukuran. Tahapan yang ada di dalam penelitian antara lain studi pustaka, pengumpulan data, analisis kebutuhan, rancangan, implementasi dan pengujian prototipe. Hasil dari penelitian ini adalah prototipe berhasil mengidentifikasi kandungan unsur hara tanah, membaca semua parameter dan mengirimkan hasilnya ke Node-RED menggunakan MQTT dan menyimpan data ke MySQL. Parameter lain yang juga ikut disimpan adalah titik lokasi dari pengambilan data menggunakan GPS. Kesimpulan dari penelitian ini protipe berhasil diuji coba pada lahan pertanian padi dan mengidentifikasi kandungan unsur hara. Titik-titik lokasi yang dikirimkan ke database berhasil dipetakan menggunakan Leaflet JS.    
Classification of Fetal Health Using the K-Nearest Neighbor Method and the Relieff Feature Selection Method Anita; Asrul Abdullah; Syarifah Putri Agustini Alkadri
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 2 (2025): February 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i2.794

Abstract

Understanding fetal health early can reduce risks to the pregnancy and the womb. Identifying correlations among factors influencing fetal well-being helps medical professionals clarify key impacts. Quantified relationships between features and labels also guide future research. This study focuses on three aspects: evaluating KNN model performance with and without ReliefF feature selection, analyzing the impact of feature removal, and assessing ReliefF's ability to identify critical features for fetal health classification.The research begins by framing fetal health classification as a supervised machine learning task using labeled datasets. A cardiotocographic dataset from the UCI Machine Learning Repository supports data collection. Initial analysis identifies data types and detects outliers, followed by preprocessing, feature selection, and KNN model training. Model testing uses metrics such as accuracy and recall. Results show the KNN model with ReliefF features achieves an accuracy of 0.896. Testing a pruned model by removing high-importance features slightly reduces accuracy to 0.866. These findings confirm ReliefF's effectiveness in identifying essential features and optimizing model efficiency without compromising quality. This study underscores ReliefF's role in improving KNN performance for fetal health classification.
Decision Support System for Selection of Achieving Students Using MetDecision Support System for Selection of Achieving Students Using Method Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) Web Based Isra Pebrianti; Syarifah Putri Agustini Alkadri; Asrul Abdullah
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 2 (2025): February 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i2.829

Abstract

The selection of outstanding students identifies the best students based on grades and achievements to recommend them for college entrance. This process often encounters challenges due to numerous determining factors, leading to potential biases in decision-making. A Decision Support System (DSS) helps address this by utilizing data and decision models to resolve structured and unstructured problems. This study applies the MOORA (Multi-Objective Optimization on the basis of Ratio Analysis) method, using criteria such as attendance, attitude scores, knowledge and skills component values, extracurricular/organizational involvement, and achievements. The DSS identified 40 outstanding students at SMA Negeri 1 Tayan Hulu, with the highest preference score of 0.0819 achieved by Indah Prasetyaning Tias. Functional testing was conducted using the black-box method with Equivalence Partitioning, and accuracy testing through MAPE showed a calculation accuracy rate of 2.79%.
AKSI UNIASIAH (Blood Transfusion Unit) Based on Android With Waterfall Apriliasari, Betty; Utami, Nur Sri; lidia, Lidia; Abdullah, Asrul
Jurnal Transformatika Vol. 17 No. 1 (2019): July 2019
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v17i1.1410

Abstract

Teknologi informasi merupakan salah satu teknologi yang sedang berkembang dengan pesat pada saat ini, sehingga informasi yang tersedia dapat berlangsung dengan cepat, efisien serta akurat. Pada Unit Transfusi Darah PMI ini sangat minim pelayanan informasi mengenai ketersediaan darah melalui mobile device sehingga banyak masyarakat yang kurang informasi mengenai persedian darah. Maka perlu ditemukan cara memecahkan masalah yang ada dengan menyediakan sebuah aplikasi berbasis android yang dapat diakses oleh masyarakat. Metode yang digunakan untuk membangun sistem ini menggunakan metode waterfall dan divisualisasikan dengan use case diagram. Hasil dari penelitian ini adalah aplikasi donor darah yang mampu menyediakan data stok darah, jadwal kegiatan donor dan lokasi, serta informasi donor darah.
Sistem Pendukung Keputusan Untuk Rekomendasi Topik Skripsi Dengan Metode Fuzzy AHP Abdullah, Asrul; Sucipto, Sucipto
Jurnal Transformatika Vol. 18 No. 2 (2021): January, 2021
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v18i2.2708

Abstract

The ability to produce a scientific work both journals, scientific articles and thesis is needed to support the competence of undergraduate students in a university. The existence of a thesis course in a number of universities is one of the efforts to train students in producing a scientific work. To arrive at the stage of making a thesis, a student must first study various kinds of courses in each study program. Choosing a thesis topic is one of the most difficult stages in the preparation of a thesis. This is because there are still many students who do not understand and know their interest and ability in one of the courses which will later be used as a topic in thesis preparation. The focus of this research is a decision support system that is able to answer student problems in determining thesis topics according to their abilities. The method used is a waterfall within the SDLC (system development life cycle) framework starting from system requirement, data collection, design, implementation, testing, and maintenance. The result of this research is the ability of the decision support system to provide recommendations for thesis topics according to the abilities of students. The greatest weight is for A5 students for Computer Networking interest of 1,410 while the smallest weight is for A4 students for Multimedia interest of 0.080.
Liver Disease Classification Using the Elbow Method to Determine Optimal K in the K-Nearest Neighbor (K-NN) Algorithm Abrar, Ihya' Nashirudin; Abdullah, Asrul; Sucipto, Sucipto
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 12 No. 2 (2023): JULI
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v12i2.1643

Abstract

Diagnosing liver disease in the field of healthcare is not an easy task. However, by utilizing medical records as datasets and applying data mining methods such as K-Nearest Neighbor (K-NN), we can analyze and extract knowledge automatically. The K-NN method has proven to be more effective compared to other methods as it clusters new information by selecting the nearest neighbors based on the value of k. In this study, we employed the Elbow method to determine the optimal value of k by measuring the error rate. The test results revealed that the optimal value of k was found to be 4, with the lowest error rate. In the third test, we achieved a training accuracy of 80.5% and a testing accuracy of 78.9%. After fine-tuning the training data, we were able to improve the accuracy to 82.2% for training and 77.1% for testing. However, in the fourth test, we encountered overfitting issues due to data imbalance caused by inappropriate resampling, resulting in a model that was overly complex and prone to excessive noise.
Penerapan MOORA dan SAW Dalam Sistem Pendukung Keputusan Pemilihan Petani Penerima Bantuan Try Kardina Unitama; Abdullah, Asrul; Istiqoma
JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Vol. 10 No. 1 (2025): JUSTINDO
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/justindo.v10i1.2480

Abstract

Kabupaten Bengkayang merupakan kabupaten agraris dengan mata pencarian utama dari pertanian agro industri yang mencakup industri pengolahan hasil komoditas tanaman pangan pertanian seperti jagung, padi, sorgum. Dinas Pangan Pertanian dan Perkebunan Kabupaten Bengkayang berupaya meningkatkan sumber daya pertanian dengan cara pemanfaatan lahan dan melakukan penyaluran bantuan pembibitan komoditi tanaman pangan diantaranya bibit jagung. Tujuan penelitian ini yaitu dengan menerapkan metode Multi-Objective Optimization The Basis Of Ration Analysis (Moora) dan Simple Additive Weigthing (SAW) pada sistem pendukung keputusan dengan kriteria yang telah ditentukan berdasarkan kuisioner yang dibagikan kepada 25 petani, kriteria yang digunakan yaitu Luas Lahan, Penghasilan, Hasil Panen, Lama Usaha Tani, Jumlah Anggota Keluarga. Berdasarkan aplikasi sistem pendukung keputusan yang telah dibuat, sistem mampu memberikan rekomendasi pilihan calon penerima bantuan sesuai dengan kriteria. Berdasarkan hasil dari kombinasi MOORA dan SAW didapatkan hasil yang sama, yakni setiap alternatif mendapatkan urutan dan ranking yang sama dengan nilai yang berbeda.
Risk factors for severe stunted among Children aged 2-5 years with stunting in Pontianak City, Indonesia Suwarni, Linda; Selviana, Selviana; Vidyastuti, Vidyastuti; Abdullah, Asrul; Adi, Pranowo
GHMJ (Global Health Management Journal) Vol. 6 No. 2 (2023)
Publisher : Yayasan Aliansi Cendekiawan Indonesia Thailand (Indonesian Scholars' Alliance)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35898/ghmj-62965

Abstract

Background: Stunting is still a major public health in developing countries, including Indonesia. There are many predictors that might contribute to stunting, including child factors, mother factors, household factors, and community. This study focuses on children and mother level. Aims: This study aimed to examine the factors associated with severe stunted among children aged 2 to 5 years old. Methods: This study uses primary data in Pontianak City, Indonesia the data has been collected from January to February 2023. Respondents were selected by total sampling method. Univariate, bivariate, and multivariate have been done using STATA 17. Results: The analysis data revealed that 75.98% of children were stunted and 24.20 were severe stunted. The factors including low birth weight and birth interval were found significantly associated with severe stunted, other independent variables did not have a correlation for being severe stunted.  Conclusion: According to children's factors and maternal factors, the variables of low birth weight and birth interval were found to correlate with being severe stunted.
Co-Authors Abrar, Ihya' Nashirudin Adi, Pranowo Aditya Wicaksono Alda Cendekia Siregar Aldi Mulia Rismanto Alkhairi, Muhammad Ghozy Anita Apriliasari, Betty Arni - Yanti Arochman Barry Ceasar Octariadi Dedy Susanto Doddy Irawan Dwika, Arya Sukma Putra Egy Andryan Eka Indah Raharjo Ema Utami Ervayana Sari Ewa Oktaviaghi Prasetya Fadillah Bergas Fakhruzi, Izhan Fenni Supriadi G. Gunawan Gunarto Gunarto Gusti Ardhasna Fauzan Hermansyah, Hermansyah Indah Budiastutik Iskandar Hadiatma Isra Pebrianti Istikoma Istikoma Istikoma Istikoma Istikoma Istiqoma Iwan, Muhammad Juliana Panemaan, Anita Karisma, Nova Khairah, Della Udya Khairul Khorlis Jainudin Khusnul Karomah Lea Candra Lidia Lidia, Lidia Linda Suwarni Marlenywati Marlenywati Maryogi Menur Wahyu Pangestika, Menur Wahyu Mifthahul Fitrah Muhamad Reynaldi Rendi Muhammad Agus Muljanto Muhammad Fikri Bagus Pratama Muhammad Iwan Nur Rali Rahma Wati Octariadi, Barry Ceasar Pedi Irawan Putri Utami, Putri Putri Yuli Utami Rachmat Wahid Saleh Insani Rachmat Wahid Saleh Insani Ramadhan, Dwi Rohmat Rizki Faizal Rizki Faizal Rizky Wahyu Prasetyo Roni, Roni Sahid Agustian Hudjimartsu Salim, Vilvilia Selviana Selviana Setyawan, Rizki Fajar Siregar, Alda Cendekia SITI AMINAH Siti Aminah Sri Wahyuni Sucipto Sucipto Sucipto Sucipto Sucipto Syafaat Agung Prakoso Syarifah Putri Agustini Alkadri Taruk, Medi Try Kardina Unitama Utami, Nur Sri Utami, Putri Yuli Vidyastuti, Vidyastuti Viona, Tiara Aurilia Virgilius Dalta Suprias Nandigna Wawan Setiawan Yanto, Maryogi Zulfan Ahmadi