Garuda - Garba Rujukan Digital

p-Index From 2021 - 2026

0.983

P-Index

This Author published in this journals

All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Informatika Global Informasi Interaktif CCIT (Creative Communication and Innovative Technology) Journal Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat Best : Journal of Applied Electrical, Science and Technology Abdi Teknoyasa JGEN : Jurnal Pengabdian Kepada Masyarakat

Wariyanto Abdullah, Robi

Unknown Affiliation

Author-ID : 8296674

Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Physics

Published : 10 Documents Claim Missing Document

Claim Missing Document

Articles

PREDIKSI KETERLAMBATAN PEMBAYARAN SPP SEKOLAH DENGAN METODE K-NEAREST NEIGHBOR (STUDI KASUS SMK AL-ISLAM SURAKARTA) Abdullah, Robi Wariyanto; Kusrini, Kusrini; Luthfii, Emha Taufiq
Informasi Interaktif Vol 4, No 3 (2019): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (25.267 KB)

ABSTRACT SPP payment at Surakarta Al-Islam Vocational School often experiences delays, this will cause disruption of school operational activities because the school tuition payment fund is mostly for operational costs for the development of school facilities and infrastructure. Therefore it is necessary to follow up the parents of students who experience late payment of tuition that can be predicted by the K-Nearest Neighbor method. To predict late payment of SPP, the parameters Income, Education, Family Dependents, and Age are used in calculating the closest distance between training data and testing data. The purpose of this study is to determine the accuracy of the prediction results of late payment of SPP by the K-Nearest Neighbor method. The prediction results can be used by the school to provide a letter of payment of SPP payments to prospective guardians of students so that when the payment schedule has entered the payment schedule parents of guardians do not experience latency in paying.Keywords: Prediction , K-Nearest Neighbor, Accurate

KEAMANAN BIG DATA DI ERA DIGITAL DI INDONESIA Fendy Prasetyo Nugroho; Robi Wariyanto Abdullah; Sri Wulandari; Hanafi Hanafi
Jurnal Informa : Jurnal Penelitian dan Pengabdian Masyarakat Vol 5 No 1 (2019): Juni
Publisher : Politeknik Indonusa Surakarta

Di era global dengan teknologi yang canggih dan modern muncul banyaknya sistem berbagai sektor diantaranya pemerintahan, kesehatan, perindustrian, pertanian maupun ekonomi. Sistem yang banyak bermunculan saat ini yaitu banyaknya sistem pembayaran digital, sistem pemerintahan berbasis elektronik dan sistem lainnya yang saling terintegrasi antar sistem. Kebutuhan data dari tahun ke tahun semakin komplek atau lengkap dan makin banyak. Data antar sistem yang terintegrasi dapat memudahkan dalam mengelola dan melakukan managemen data dalam satu pusat data. Managemen big data yang baik harus memiliki aspek seperti tipe data yang tepat, karakter data yang tepat dan standarisasi dari data yang jelas. Menghadapi perkembangan teknologi yang memasuki era internet of thing dan big data memungkinkan semua terhubung dengan cyber space atau jaringan siber. Pemerintah mengingatkan adopsi Big Data dan internet of thing (IoT) harus memperhatikan isu keamanan siber sebagai kunci pemanfaatan Teknologi Informasi dan Komunikasi. Di Indonesia, sesuai dengan kerangka Critical Information Infrastructure Protection (CIPP) yang telah disiapkan Kementerian Komunikasi dan Informatika (Kominfo), aspek keamanan informasi mencakup persoalan mitigasi risiko, penanganan insiden, serta pemulihan informasi. Penelitian ini memberikan gambaran seberapa pentingnya keamanan data dalam segala sektor organisasi di Indonesia.

SISTEM PAKAR DETEKSI PENYAKIT TIPES, DBD, CAMPAK DAN DIARE DENGAN METODE BACKWARD CHAINING Robi Wariyanto Abdullah; Fendy Prasetyo Nugroho; Kusrini Kusrini
Jurnal Informa : Jurnal Penelitian dan Pengabdian Masyarakat Vol 5 No 2 (2019): Juni
Publisher : Politeknik Indonusa Surakarta

Penyakit tipes, demam berdarah (DBD), campak dan diare memiliki gejala yang hampir sama dan banyak menyerang manusia hingga menyebabkan penderita meninggal dunia dikarenakan tidak banyak orang yang menyadari gejala penyakit yang telah dideritanya. Untuk meminimalkan angka kematian yang terjadi karena penyakit tersebut maka, perlu dibuat sistem pakar yang dapat mendeteksi penyakit yang ditandai dari gejala yang dirasakan oleh penderita. Penelitian yang akan dilakukan yaitu menganalisa dan mendeteksi penyakit tipes, DBD, campak dan diare dengan mengumpulkan basis pengetahuan dari gejala-gejala yang timbul dari penyakit tersebut. Metode yang digunakan dalam mendeteksi penyakit tersebut yaitu menggunakan metode backward chaining dan menguji ketepatan akurasinya dengan metode certainly factor. Sistem pakar yang dikembangkan yaitu sistem berbasis web sehingga dapat diakses dengan mudah dimanapun dan kapanpun. Hasil akurasi sistem pakar yang dikembangkan dengan metode backward chaining menghasilkan akurasi ketepatan pengujian dari sistem yang telah dibandingkan hasilnya dengan pakar mencapai hasil sebesar 93% dengan bobot penyakit 0.9.

Penerapan Data Mining untuk Memprediksi Jumlah Produk Terlaris Menggunakan Algoritma Naive Bayes Studi Kasus (Toko Prapti) Robi Wariyanto Abdullah; Dwi Hartanti; Hanifah Permatasari; Arif Wicaksono Septyanto; Yuda Abi Bagaskara
Jurnal Informatika Global Vol 13, No 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v13i1.2060

Toko Prapti is a small privately owned company that sells basic necessities,. So far, the prapti shop produces sales data every day, but the results obtained show that the prapti shop has not maximized the data so that it becomes a data accumulation. Therefore, the researcher conducted a study on product sales data by utilizing and applying data mining using the nave Bayes classifier algorithm to determine the interest in purchasing goods at the prapti shop. data. In this study, the author uses the waterfall system development method. The author implements this research using a web programming language, namely PHP, using the CodeIgniter framework with MySQl database. The system built with the nave Bayes algorithm includes product sales data, nave calculations of each attribute and reporting. This system produces 4 attributes that greatly affect the results of the classification. The attributes used in this research are the attributes are quarter 1, quarter 2, quarter 3 and quarter 4. Prediction results obtained using the nave Bayes algorithm produce information that can be used by stores to identify the best-selling products purchased by consumers so that it can help prapti shops to find and determine the target market more accurately. Sources of data taken from the previous 1 year with system accuracy using a confusion matrix resulted in 83.3% accuracy, 84.2% precision and 88.9% recall. Keywords : Data mining, Nave bayes Classifier, Code Igniter, Confusion Matrix

Keamanan Basis Data Pada Perancangan Sistem Kepakaran Prestasi SMAN Dikota Surakarta Robi Wariyanto Abdullah; Sri Wulandari; Muqorobin Muqorobin; Fendy Prasetyo Nugroho; Wahyu Wijaya Widiyanto
CCIT (Creative Communication and Innovative Technology) Journal Vol 12 No 1 (2019): CCIT JOURNAL
Publisher : Universitas Raharja

State high schools in Surakarta City have different achievements. To see these achievements, it is necessary to have an expert system that provides information about the achievements of the school to the community, both student achievement and the achievements of teachers or educators. In designing the expertise system of school achievement, it is also necessary to design the database system. Often developers don't pay attention to data security in the database when designing a system. System design is made into the concept of data mapping, Context Diagrams, and Table Relations. This research will also discuss restrictions on database access rights in MySQL which is useful to restrict users from accessing the database. Based on the design, the writer presents a web-based school achievement expertise design system as a means of information on the achievements of public high schools in the city of Surakarta. The method in this study covers literature review, data collection, designing achievement expertise systems, and designing and security procedures for the expert system database at Surakarta Senior High School. The results of this study are the system of school achievement expertise in Surakarta Senior High School based on the categories of achievement, level of achievement, and year of achievement as well as the design database of the school achievement system with regard to database security

Strategi MOOC untuk Meningkatkan Potensi Bakat Masyarakat dalam Pendidikan Ilmu Komputer dengan ADDIE dan Design Thinking Moch Hari Purwidiantoro; Tinuk Agustin; Abdullah, Robi Wariyanto; Mochammad Luthfi Rahmadi
Jurnal Ilmiah Informatika Global Vol. 15 No. 3: Desember 2024
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v15i3.4742

The development of digital-based education such as Massive Open Online Course (MOOC) has expanded public access to quality education without limits. However, the main challenge in developing MOOCs, especially in the field of computer science, is how to meet the diverse needs of users and create interactive learning experiences that are relevant to the world of work and easy to understand in their use for all groups. This study aims to develop a MOOC strategy that can increase the potential of community talent through the application of the ADDIE method (Analysis, Design, Development, Implementation, Evaluation) and the Design Thinking approach. ADDIE provides a systematic framework in course development, while Design Thinking ensures development focuses on user needs. The initial stage of this study highlighted the needs analysis to understand the challenges and expectations of users in computer science courses. In the design and development phase, interactive learning modules and simulations were created that were designed to increase participant engagement. The course was tested through a prototype at the implementation stage, which was then improved based on user feedback. An evaluation was conducted to assess the effectiveness of the course in improving participant skills and satisfaction, with an overall average result of 4.09, indicating that the course is feasible to be implemented widely. Course satisfaction and effectiveness were the most prominent aspects, with an average score of 4.45 and a percentage of 27%. These findings suggest that the combination of ADDIE and Design Thinking methods is effective in developing MOOCs that can improve access and quality of computer science education for the wider community, particularly through an approach that is responsive to user needs.

Pelatihan Pembuatan Video Profile Sebagai Strategi Dalam Meningkatkan Pendaftaran Siswa di SD Negeri 2 Ngesrep Boyolali Putra, Tommy Dwi; Kusumastuti, Rajnaparamitha; Abdullah, Robi Wariyanto; Oktafiani, Dewi; Turmudi, Hadis
JGEN : Jurnal Pengabdian Kepada Masyarakat Vol. 2 No. 2 (2024): JGEN : Jurnal Pengabdian Kepada Masyarakat, Desember 2024
Publisher : Lumbung Pare Cendekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60126/jgen.v2i2.653

The community service conducted aims to increase new student registration at SD Negeri 2 Ngesrep Boyolali through training in making school profile videos. In the digital era, online marketing and promotion are key to attracting the attention of parents and prospective students. An attractive profile video can provide a positive picture of the environment and advantages of the school, thus encouraging interest in registration. This activity involves training in profile video making techniques, starting from introducing tools, taking pictures, to promotional strategies through social media and paid advertising. The results of this training are expected to improve the skills of teachers and staff in making effective videos. Thus, schools can utilize digital platforms such as YouTube and Instagram to expand the reach of promotions. Obstacles faced during the implementation include scheduling between school and campus activities. Nevertheless, this training has been successfully implemented, and the resulting profile video is expected to increase the visibility and reputation of SD Negeri 2 Ngesrep Boyolali. Through this service, it is hoped that the number of new student registrations will increase significantly, so that the school can be better known by the wider community. This study shows that the use of video as a promotional medium is an effective strategy in supporting new student registration in today's digital era.

Analisis Pengolahan Ekstraksi Fitur Citra Untuk Klasifikasi Jenis Apel Menggunakan Scikit-Learn Dengan Algoritma K-Nearest Neighbor Wariyanto Abdullah, Robi; Kusumastuti , Rajnaparamitha; Handoko
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 12 No 1: Februari 2025
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2025129149

Jenis Apel di Indonesia makin beragam seiring dengan perkembangan teknologi dibidang perkebunan.apel yang berkembang pesat. Penggunaan teknologi pengolahan citra dan pembelajaran mesin telah membuka peluang baru dalam mengatasi tantangan klasifikasi objek berbasis citra, termasuk dalam mengidentifikasi jenis buah apel.Penggunaan metode K-Nearest Neighbor sudah banyak terbukti dalam klasifikasi berbagai jenis data termasuk citra. Penelitian yang akan dilakukan akan mencoba melakukan analisa dan mengklasifikasikan jenis apel dengan membaca extrasi fitur citra menggunakan library scikit-learn dalam bahasa pemrograman Python dengan pendekatan algoritma K-Nearest Neighbor. Dataset yang akan diteli dalam klasifikasi digunakan 7 jenis apel yaitu Apple Braeburn, Apple Crimson Snow, Apple Golden, Apple Granny Smith, Apple Red , Apple Red Delicious, Apple Red Yellow. Dataset training yang digunakan dalam penelitian sebanyak 16404 citra, sedangkan data testing sebanyak 2134 citra apel. Proses klasifikasi dilakukan dengan membandingkan extrasi fitur dari apel yang belum diketahui varietasnya dengan fitur-fitur dari apel yang telah diklasifikasikan sebelumnya.extrasi fiture yang akan dilakukan yaitu akan membandingkandan dari hasil extrasi fiture HVS, histogram dan RGB yang dipilih dengan nilai k genap. Hasil penelitian yang dilakukan menghasilkan akurasi tertinggi sebesar 96,9 %, dengan nilai k=2 dan kriteria perhitungan jarak menggunakan extraksi fitur menggunakan RGB,HSV dan histogram. Penelitian ini diharapkan mampu memberikan potensi penggunaan teknik pengolahan citra dalam mendukung identifikasi jenis apel secara otomatis, yang relevan dalam industri pertanian dan pengolahan makanan. Penelitian selanjutnya diharapkan dapat dilakukan dengan membandingkan metode algoritma untuk klasifikasi yang lain serta memberikan dataset image dengan pencahayaan yang berbeda dengan menambah beberapa jenis apel dan kombinasi parameter yang lebih banyak lagi agar dapat meningkatkan output hasil penelitian yang sudah dilakukan. Abstract Apple types in Indonesia are increasingly diverse along with the rapid development of technology in the field of apple plantations. The use of image processing and machine learning technology has opened up new opportunities in overcoming the challenges of image-based object classification, including in identifying apple types. The use of the K-Nearest Neighbor method has been widely proven in the classification of various types of data including images. The research that will be conducted will try to analyze and classify apple types by reading image feature extraction using the scikit-learn library in the Python programming language with the K-Nearest Neighbor algorithm approach. The dataset that will be studied in the classification uses 7 types of apples, namely Apple Braeburn, Apple Crimson Snow, Apple Golden, Apple Granny Smith, Apple Red, Apple Red Delicious, Apple Red Yellow. The training dataset used in the study was 16404 images, while the testing data was 2134 apple images. The classification process is carried out by comparing feature extraction from apples whose varieties are unknown with features from apples that have been previously classified. The feature extraction that will be carried out is to compare and from the results of the HVS, histogram and RGB feature extraction selected with an even k value. The results of the research conducted produced the highest accuracy of 96.9%, with a value of k = 2 and the distance calculation criteria using feature extraction using RGB, HSV and histograms. This research is expected to provide the potential for using image processing techniques to support automatic identification of apple types, which are relevant in the agricultural and food processing industries. Further research is expected to be carried out by comparing algorithm methods for other classifications and providing image datasets with different lighting by adding several types of apples and more parameter combinations in order to increase the output of the research results that have been carried out.

PELATIHAN DIGITALISASI DATA UNTUK MEWUJUDKAN TATA KELOLA MASJID YANG TRANSPARAN DAN EFEKTIF: STUDI KASUS MASJID AL-IKHLAS KLATEN Robi Wariyanto Abdullah, Robi Wariyanto Abdullah; Miftakhurrokhmat, Miftakhurrokhmat; Lilik Sugiarto, Lilik Sugiarto; Nurhidayanto, Nurhidayanto
Abdi Teknoyasa Vol. 6 No. 2 (2025): Volume 6, Nomor 2, Desember 2025
Publisher : Universitas Muhammadiyah Surakarta

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

Masjid Al-Ikhlas Klaten menghadapi permasalahan dalam pengelolaan administrasi dan keuangan, seperti keterbatasan akses informasi, rendahnya transparansi, serta tingginya risiko kesalahan pencatatan. Keterbatasan akses informasi dan pencatatan keuangan manual menimbulkan tantangan transparansi dan risiko kesalahan data Untuk mengatasi kondisi tersebut, kegiatan pengabdian ini menawarkan solusi berupa digitalisasi data administrasi dan keuangan melalui pelatihan penggunaan sistem informasi masjid. Metode yang digunakan meliputi identifikasi kebutuhan mitra, sosialisasi konsep digitalisasi, pelatihan teknis dengan pendekatan partisipatif yang dilengkapi uji coba sistem digital, serta pendampingan implementasi pada pengurus dan jamaah. Hasil kegiatan menunjukkan bahwa peserta mampu mengoperasikan sistem pencatatan keuangan dan jadwal kegiatan secara digital, memahami pentingnya transparansi, serta mengusulkan pengembangan fitur tambahan seperti pencatatan inventaris. Berdasarkan hasil evaluasi, pelatihan diikuti oleh 25 peserta dan memperoleh skor rata-rata 4,1–4,7 dari skala 5, yang menunjukkan peningkatan kompetensi peserta secara signifikan Pelatihan ini memberikan dampak positif bagi mitra, yaitu meningkatnya kemampuan pengelolaan administrasi secara akuntabel dan terbukanya peluang replikasi sistem pada masjid lain. Program ini meningkatkan keterampilan pengurus dalam mengoperasikan sistem digital, memperkuat akuntabilitas, dan mendorong replikasi ke masjid lain , Pengembangan lebih lanjut tetap diperlukan untuk menyesuaikan fitur dengan kebutuhan pengguna

Automated and Efficient Monitoring System for Organic Waste Compost Processing based on The Internet of Things (IoT) Sugiarto, Lilik; ady saputra, indrawan; Wariyanto Abdullah, Robi
BEST Vol 8 No 1 (2026): BEST
Publisher : Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/7madhs96

In developed countries, waste has been regarded as an important component of management systems as well as reuse practices. In contrast, developing countries, particularly Indonesia, still face various challenges in waste management. Approximately 60% of the total national waste generation originates from household waste, and about 39.98% of this amount has not been optimally managed. Processing organic waste into compost is an environmentally friendly alternative that can reduce waste volume while increasing the value of household and agricultural waste. However, conventional composting methods often encounter difficulties, especially in maintaining temperature and moisture stability, causing the decomposition process to be less optimal. Based on these issues, this study aims to design and implement an automated efficiency and monitoring system for compost processing based on the Internet of Things (IoT). The developed system utilizes an ESP32 microcontroller, a soil moisture sensor for moisture measurement, a DS18B20 sensor for compost temperature monitoring, as well as an automatically controlled water pump and a 12 V DC fan. Sensor data are transmitted in real time to the Blynk platform for remote monitoring purposes. The experimental results indicate that the system is capable of maintaining moisture levels within the ideal range of 50–60% and compost temperature within the optimal range of 30–40°C, enabling the composting process to operate more stably, efficiently, and in a controlled manner.

Co-Authors Arif Wicaksono Septyanto Emha Taufiq Luthfi Fendy Prasetyo Nugroho Hadis Turmudi Hanafi Hanafi Handoko Hartanti, Dwi Indrawan Ady Saputro Kusrini Kusumastuti , Rajnaparamitha Kusumastuti, Rajnaparamitha Lilik Sugiarto, Lilik Sugiarto Miftakhurrokhmat, Miftakhurrokhmat Moch Hari Purwidiantoro Mochammad Luthfi Rahmadi Muqorobin Muqorobin Nurhidayanto, Nurhidayanto Oktafiani, Dewi Permatasari, Hanifah Sri Wulandari Sugiarto, Lilik Tinuk Agustin Tommy Dwi Putra Widiyanto, Wahyu Wijaya Yuda Abi Bagaskara

Title

Found 10 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 10 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 10 Documents
Search