Article Per Year (5 Year)
p-Index From 2021 - 2026
3.713
P-Index
This Author published in this journals
All Journal Gaung Informatika JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Tekinkom (Teknik Informasi dan Komputer) Indonesian Journal of Data and Science TEPIAN Jurnal Pengabdian Teknologi Tepat Guna SPEED - Sentra Penelitian Engineering dan Edukasi Amarasi : Jurnal Desain Komunikasi Visual Jurnal Sains dan Teknologi JOMLAI: Journal of Machine Learning and Artificial Intelligence Engineering and Technology International Journal (EATIJ) JTH: Journal of Technology and Health SmartComp Jurnal Pengabdian Masyarakat dan Riset Pendidikan Jurnal Nasional Teknologi Informasi dan Aplikasinya Jimstek
Ruswanti, Diyah
Universitas Sahid Surakarta
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

Published : 30 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 30 Documents
Search

 1   2   3 
SISTEM INFORMASI ARSIP PEGAWAI PADA DPU PR KAB KARANGANYAR Diyah Ruswanti; Firdhaus Hari Saputra Al Haris
JIMSTEK: Jurnal Ilmiah Sains dan Teknologi Vol. 6 No. 02 (2024): JIMSTEK: Jurnal Ilmiah Sains dan Teknologi
Publisher : Fakultas Sains, Teknologi dan Kesehatan Universitas Sahid Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47942/jimstek.v6i02.1863

Abstract

Proses pengelolaan arsip pegawai di Dinas PU dan PR Kabupaten Karanganyar masih dilakukan secara manual, yang membutuhkan waktu. Tujuan peneliti adalah untuk membuat dan menerapkan Sistem Informasi Arsip Pegawai. Tujuannya adalah untuk meningkatkan kinerja pendataan Arsip Pegawai. Metodologi penelitian menggunakan pengumpulan data (data primer dan data sekunder) dan analisis data (analisis sistem menggunakan UML, desain teknologi, analisis kebutuhan sistem, pengujian sistem menggunakan Black Box dan Kuesioner). Menggunakan analisis sistem dengan SDLC (sistem life cycle), analisis sistem, perancangan dan desain sistem, pengimplementasian dan pengujian sistem. Perancangan dilakukan menggunakan UML (unified modelling language), pembangunan dilakukan menggunakan PHP (Hypertext Preprocessor) dan MySQL. Hasil pengujian black box menunjukkan bahwa sistem informasi arsip berjalan sebagaimana mestinya dan sudah memenuhi standar faktor kualitas fungsional. Hasil pengujian kuesioner menunjukkan bahwa informasi dari 30 responden menunjukkan 56,7% sangat setuju, dan informasi dari 30 responden menunjukkan bahwa penelitian ini bisa digunakan.
Company Profile Gerakan Pemuda Ansor Kecamatan Kartasura Berbasis Website Muhammad Khasan Sandi Khasan; Diyah Ruswanti
JIMSTEK: Jurnal Ilmiah Sains dan Teknologi Vol. 6 No. 02 (2024): JIMSTEK: Jurnal Ilmiah Sains dan Teknologi
Publisher : Fakultas Sains, Teknologi dan Kesehatan Universitas Sahid Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47942/jimstek.v6i02.1865

Abstract

ABSTRACT The development of information and communication technology has a significant impact on various sectors, including youth organizations. GP Ansor Kartasura District faces challenges in managing information and member interactions with conventional methods, such as direct meetings and WhatsApp messages. This study aims to develop a web-based information system to improve communication efficiency, member data management, and publication of organizational activities. Research methods include literature studies, observations, and interviews. System development used the waterfall model with needs analysis, system design, implementation, integration, and maintenance. The results indicate that this web-based information system can overcome information delays, improve interaction between members, and facilitate data management. The implementation of this system is expected to support organizational management and increase member participation in GP Ansor Kartasura District activities.
COMPARISON OF PRINCIPAL COMPONENT ANALYSIS AND RANDOM FOREST ALGORITHM FOR PREDICTING HOUSING PRICES Dahlan Susilo; Diyah Ruswanti; Supriyanta; Wawan Nugroho
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 2 (2025): JITK Issue November 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i2.7256

Abstract

House price predictions are an important thing in the property industry and are useful for buyers in making decisions. Principal Component Analysis (PCA) and Random Forest (RF) methods were used for accuracy analysis in predicting housing prices. Purpose of this research is to measure the accuracy of both methods also to compare RF method optimized with PCA and the one that has not been optimized. The data used is house prices in Karanganyar city based on data scraping results on the rumah123.com site. The analysis reveals that Jaten has the highest number of house sales, and sales of houses with land ownership certificates are also the highest. Of the 10 variables used, land area and buildings have the most influence on selling prices. The model training results show that the RF and PCA methods combination has more optimal value than only using the RF method. The error rate of the PCA method is smaller, averaging 0.0257, making its value more consistent than using only the RF method, which has a larger error value with an average of 0.0332. The model training time using PCA is faster (5005.75) than only using the RF method (6099.25)
Rancang Bangun System Predictive Lead Scoring (PROSPECTA) untuk Menentukan Prospek Nasabah Deposito Berjangka Menggunakan Next.js Azizun Fathin Wahyu Lestari; Firdhaus Hari S A H; Diyah Ruswanti
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 15, No 3 (2026): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v15i3.10353

Abstract

Perkembangan teknologi informasi di sektor perbankan mendorong pemanfaatan data nasabah secara optimal untuk mendukung pengambilan keputusan berbasis data. Salah satu permasalahan yang dihadapi adalah kondisi lead overload, di mana jumlah calon nasabah tidak sebanding dengan kemampuan tim sales dalam melakukan tindak lanjut, sehingga pemasaran menjadi kurang efektif. Penelitian ini bertujuan untuk mengembangkan sistem Predictive Lead Scoring (PROSPECTA) berbasis web yang mampu membantu proses prioritas prospek nasabah deposito berjangka. Metode penelitian yang digunakan meliputi observasi, studi literatur, dan metode pengembangan sistem Waterfall.  Proses pengolahan data dilakukan menggunakan preprocessing Robust Scaler untuk menstabilkan skala data, serta penerapan algoritma Random Forest dalam membangun model prediksi. Sistem diimplementasikan dalam bentuk dashboard menggunakan Next.js yang menyajikan hasil prediksi probabilitas secara informatif. Hasil pengujian menunjukkan bahwa model memiliki tingkat akurasi sebesar 93%, serta seluruh fitur berjalan dengan baik berdasarkan pengujian blackbox dan API menggunakan Postman. Dengan demikian, prospecta mampu mendukung efektivitas kerja tim sales dalam menentukan prioritas prospek serta meningkatkan efisiensi pemasaran berbasis data
WEB-BASED RICE HARVEST PREDICTION SYSTEM USING FUZZY MAMDANI METHOD: A CASE STUDY IN MAGELANG CITY Haris Adi Pangestu Setyo Nugroho; Diyah Ruswanti; Farid Fitriyadi
JTH: Journal of Technology and Health Vol. 3 No. 4 (2026): April: JTH: Journal of Technology and Health
Publisher : CV. Fahr Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61677/jth.v3i4.757

Abstract

This study discusses the application of the Fuzzy Inference System method to predict rice yields in Magelang City as an effort to support food security planning. The data used included harvest area, production, and productivity with the period 2021–2022 as training data and 2023–2024 as test data. The prediction process is carried out through the stages of fuzzification, formation of fuzzy rules, inference using min–max operators, and defuzzification using the centroid method. The prediction system is designed to be web-based so that it can be used by farmers, government agencies, and related parties in decision-making. The results of the study show that the Fuzzy Mamdani method is able to produce predictions that are close to actual data with a low error rate. For example, the prediction of 109.20 tons in a harvest area of 18 Ha is close to the actual data of 106.56 tons, and an RMSE value of 1.43 tons is obtained which is better than the seasonal naïve and linear regression methods. With stable accuracy and flexibility in updating regulations, this system is suitable for use as an agricultural planning tool, especially for food distribution strategies, planting planning, and rice stock management in Magelang City.
Applicant Data Segmentation and Pattern Analytics for University Admissions Strategy Using Hybrid SOM and K-Means Diyah Ruswanti; Dahlan Susilo
Indonesian Journal of Data and Science Vol. 7 No. 2 (2026): Indonesian Journal of Data and Science
Publisher : Yocto Brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v7i2.388

Abstract

Introduction: Effective university admissions strategies require a clear understanding of applicant demographics, academic characteristics, geographic origins, and information channels. This study applies a hybrid clustering approach to identify meaningful applicant segments that can support targeted recruitment and resource allocation. Method: Historical applicant records from Universitas Sahid Surakarta covering 2021–2025 were preprocessed through data cleaning, one-hot encoding of categorical variables, and Min-Max normalization. A hybrid Self-Organizing Map (SOM) and K-Means framework was employed, where SOM projected high-dimensional applicant characteristics into a lower-dimensional topological representation and K-Means partitioned the resulting prototypes into distinct clusters. Clustering quality was evaluated using the Davies–Bouldin Index (DBI) to determine the optimal number of segments. Results and Discussion: The lowest DBI was obtained for three clusters, indicating the most appropriate segmentation structure. The resulting groups were characterized as proximity-driven local applicants, regional career-oriented applicants dominated by vocational-school backgrounds, and high-achieving out-of-region applicants with stronger academic performance and greater reliance on institutional websites and search channels. These patterns provide actionable insight for differentiated recruitment strategies. Conclusion: The hybrid SOM–K-Means approach effectively identifies interpretable applicant segments and provides descriptive intelligence that can support more targeted marketing, channel selection, scholarship strategies, and admissions resource allocation in higher education
The Magic Of Pixels: Edukasi Bagaimana Komputer Bisa Mengenali Gambar Diyah Ruswanti; Rahmad Rilo Pambudi; Rangga Andika Saputra; Callista Dian Ramadhani; Della Ayu Puspitasari; Siti Komariyah
JURNAL PENGABDIAN TEKNOLOGI TEPAT GUNA Vol 7 No 2 (2026): Teknologi Tepat Guna (TTG)
Publisher : Universitas Sahid Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47942/jpttg.v7i2.2501

Abstract

Sasaran utama kegiatan ini adalah 18 siswa kelas 4 dan 5 SD Negeri Sempu, Andong Kabupaten Boyolali. Pemilihan sasaran didasarkan pada pertimbangan bahwa anak-anak pada usia tersebut sudah terbiasa berinteraksi dengan perangkat digital, namun belum memahami teknologi dasar di balik pembentukan gambar digital, ditambah dengan masih terbatasnya akses edukasi teknologi di daerah pedesaan. Kegiatan yang berlangsung selama 120 menit ini dirancang menggunakan tiga metode utama. Pertama adalah presentasi interaktif dengan penyampaian materi menggunakan visual yang ramah anak, menjelaskan konsep dasar piksel sebagai unit terkecil gambar, prinsip kombinasi warna RGB (Red, Green, Blue), serta cara komputer menampilkan gambar menggunakan analogi sederhana seperti puzzle atau lego. Kedua adalah Sesi Tanya Jawab dengan menguji dan melatih pemahaman serta keberanian siswa dalam mengungkapkan pendapat. Ketiga adalah permainan Edukatif Tebak Gambar dari Piksel yang bertujuan mendorong siswa menebak wujud gambar dari susunan kotak-kotak piksel berwarna untuk melatih imajinasi dan ketelitian. Hasil kegiatan menunjukkan antusiasme tinggi dan partisipasi aktif (100%) dari seluruh peserta. Berdasarkan evaluasi akhir, terjadi peningkatan indikator pemahaman dan minat siswa secara signifikan: Pemahaman Konsep Piksel: Meningkat dari 0% menjadi 80%. Keberanian Berbicara di Depan Umum: Meningkat dari 15% menjadi 90%. Minat Terhadap Teknologi Digital: Meningkat dari 25% menjadi 95%. Sosialisasi ini terbukti efektif dalam memberikan pengalaman belajar yang menyenangkan, meningkatkan literasi teknologi dasar sejak dini, serta menumbuhkan minat siswa terhadap perkembangan dunia digital.
Design and Development of a Web-Based Boarding House Information System Iqbal Aditya Ferryanto; Diyah Ruswanti; Dahlan Susilo
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 4 No. 3 (2025): September 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jomlai.v4i3.6486

Abstract

Web-based information systems serve an essential function in promoting efficient and efficient information management in the digital era.  The objective of this research is to create a web-based information system for boarding houses with 6 boarding house research objects. to address challenges often encountered in manual data management, such as data inaccuracies and difficulties in accessing information. The development process employs the Waterfall methodology, which includes phases including communication, planning, planning, execution, and upkeep. The coding language applied for in creating websites is JavaScript and uses a MySQL database. Where This system offers features tailored to the needs of boarding house seeker, house owners, and administrators. Testing using the System Usability Scale (SUS) involving 38 respondents resulted in a rating of 78.16, categorized as good usability (Grade B). These results indicate that the system provides a satisfactory user experience and supports increased efficiency in managing boarding house operations.
Penguatan Kemandirian Ekonomi bagi Masyarakat Disabilitas di PPDK Klaten melalui Digitalisasi UMKM Disabilitas dan Penguatan Kewirausahaan Dahlan Susilo; Diyah Ruswanti; Rusnandari Retno Cahyani
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 3 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 3 (Januari 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i3.4742

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk memperkuat kemandirian ekonomi penyandang disabilitas di Perkumpulan Penyandang Disabilitas Klaten (PPDK) melalui digitalisasi UMKM disabilitas dan penguatan kewirausahaan. Permasalahan utama mitra meliputi keterbatasan keterampilan digital marketing, rendahnya kualitas visual produk, serta minimnya pemanfaatan media digital sebagai sarana pemasaran. Metode pelaksanaan dilakukan melalui tahapan persiapan, pelaksanaan, dan evaluasi dengan pendekatan partisipatif berupa pelatihan, pendampingan, diskusi interaktif, serta praktik langsung pemasaran digital menggunakan media sosial dan marketplace. Peserta kegiatan berjumlah 15 orang penyandang disabilitas pelaku UMKM. Hasil kegiatan menunjukkan bahwa 90% peserta mengalami peningkatan pengetahuan dan keterampilan digital marketing, terjadi peningkatan penggunaan media promosi khususnya TikTok dan Facebook, serta peningkatan motivasi kewirausahaan. Program ini memberikan dampak positif terhadap peningkatan daya saing produk UMKM disabilitas dan membuka peluang pengembangan usaha secara berkelanjutan.
Implementasi Telegram Bot sebagai Media Monitoring Gangguan Pelanggan Telkom dengan Pembaruan Berkala Berbasis Mobile Noor Arief Kurniawan; Diyah Ruswanti; Astri Charolina
INSOLOGI: Jurnal Sains dan Teknologi Vol. 4 No. 5 (2025): Oktober 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/insologi.v4i5.6234

Abstract

In a dynamic operational environment, especially in Telkom customer service, the process of monitoring disturbance reports is a challenge for supervisors. The disturbance reporting applications currently available are web-based, but they have not been designed responsively, so they are less user-friendly when accessed via mobile devices. Meanwhile, supervisors are required to continue conducting direct checks to ensure technician performance in the field. This research aims to develop a mobile-friendly solution in the form of a Telegram Bot that is able to retrieve regularly updated customer disturbance data from a central server, process it, and present it in a concise and easy-to-understand format via the Telegram application. The methods used include periodic data collection by helpdesk officers, data transformation into structured information, and integration of the Telegram API as a user interface. The implementation results indicate that the Telegram bot can provide information on the status of disturbance reports (new, progress, and completed), including the level of urgency, quickly and informatively, according to the latest data available. This solution is proven to support supervisor mobility in decision making and technical supervision without having to rely on web application access via desktop devices. Using Telegram as a platform also increases flexibility in accessing information in various field conditions. This research is a real contribution to the use of bot technology for the efficiency of field monitoring services based on regular updates.
Co-Authors Andri Budi Laksono Anwariningsih , Sri Huning Arif Yulianto Ashsidiq, Muhammad Fadhlan Ravi Astri Charolina Azizun Fathin Wahyu Lestari Callista Dian Ramadhani Dahlan Susilo Della Ayu Puspitasari Dwi Retnoningsih Endritha Pramudya Farid Fitriyadi Firdhaus Hari Saputro Al Haris Fitriyadi, Farid Haris Adi Pangestu Setyo Nugroho Herawati, Fadhilah Iqbal Aditya Ferryanto Khusnuliawati, Hardika Muhammad Dwi Nugroho Muhammad Dwi Nugroho Muhammad Khasan Sandi Khasan Noor Arief Kurniawan Nur’Afnida, Widya Prawesti, Nindia Fika Rizky Purnama, Christian Roy Rahmad Rilo Pambudi Rangga Andika Saputra Rusnandari Retno Cahyani Siti Komariyah Supriyanta Supriyanta Wawan Nugroho