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All Journal PROSIDING SEMINAR NASIONAL Speed - Sentra Penelitian Engineering dan Edukasi Jurnal Teknologi Informasi dan Ilmu Komputer INFORMATIKA JOIV : International Journal on Informatics Visualization RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Jurnal Ilmiah FIFO Jurnal Pilar Nusa Mandiri JITK (Jurnal Ilmu Pengetahuan dan Komputer) Techno Nusa Mandiri : Journal of Computing and Information Technology JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Teknologi Informasi dan Terapan (J-TIT) Journal of Information Systems and Informatics Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Infortech Jurnal Pengabdian kepada Masyarakat Nusantara Abditeknika - Jurnal Pengabdian Kepada Masyarakat Wasana Nyata Jurnal Abdimas Ekonomi dan Bisnis Journal Basic Science and Technology Jurnal Abdi Masyarakat Indonesia Indonesian Journal of Networking and Security - IJNS SPEED - Sentra Penelitian Engineering dan Edukasi Jurnal Media Computer Science Paradigma Indonesian Journal Computer Science (ijcs) Dikdimas : Jurnal Pengabdian Kepada Masyarakat WASANA NYATA Pelayanan Unggulan: Jurnal Pengabdian Masyarakat Terapan Prawara Jurnal Pengabdian Masyarakat
Heribertus Ary Setyadi
Universitas Bina Sarana Informatika
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Nursing Public Health Social Sciences Veterinary Other

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Sistem Informasi Rekam Medis Di Klinik Gigi Rumah Sakit Paru dr. Ario Wirawan Salatiga Setyadi, Heribertus Ary; Perbawa, Doddy Satrya
Jurnal Infortech Vol 3, No 2 (2021): Desember 2021
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/infortech.v3i2.11209

Abstract

Abstrak  - Saat ini  pelayanan di klinik gigi Rumah Sakit Paru dr. Ario Wirawan (RSPAW) masih menggunakan cara konvensional atau offline. Proses pendaftaran pasien dapat dilakukan dengan datang ke klinik untuk mengambil nomor antrian. Untuk pasien baru wajib mengisi form pasien baru. Setelah itu pasien akan diperiksa oleh dokter, jika pasien yang sudah pernah periksa maka dokter akan melihat blangko yang berisi rekam medis pasien. Selesai proses pengerjaan dokter menulis terapi yang sudah diberikan di blangko rekam medis pasien. Tahap analisis yang dilakukan adalah menganalisis permasalahan sistem yang sedang berjalan dan analisis kebutuhan sistem yang dikembangkan. Langkah perancangan dari sistem yang dikembangkan dalam penelitian ini adalah membuat bagan alir sistem yang dikembangkan, diagram arus data, desain input, desain output dan desain basis data. Sistem dibuat menggunakan visual basic dan Ms.Acces. Sistem yang dikembangkan dalam penelitian ini meliputi pengolahan data pasien, data diagnosa, data tindakan data obat, data dokter. Fasilitas pemeriksaan pasien yang ada dalam sistem antara lain riwayat penyakit dan namnesa, diagnosa pasien, tindakan pemerisaan pasien, obat yang diberikan dan poto ronsen. Sistem dapat menghasilkan daftar pasien, daftar dokter, daftar obat, daftar diagnosa, daftar tindakan, laporan rekam medis, laporan penjualan obat dan laporan pemasukan.Kata Kunci: Rekam Medis, Klinik Gigi, Visual BasicAbstract  - Currently the service at the dental clinic at the Lung Hospital, dr. Ario Wirawan (RSPAW) still uses conventional or offline methods. The patient registration process can be done by coming to the clinic to take a queue number. New patients are required to fill out a new patient form. After that the patient will be examined by the doctor, if the patient has been examined, the doctor will see a blank containing the patient's medical record. After completing the process, the doctor writes the therapy that has been given on the patient's medical record blank. The analysis phase carried out is analyzing the problems of the current system and analyzing the needs of the system being developed. The design step of the system developed in this research is to make a flow chart of the system developed, data flow diagrams, input design, output design and database design. The system is made using visual basic and Ms. Access. The system developed in this study includes patient data processing, diagnostic data, drug data action data, doctor data. Patient examination facilities that exist in the system include medical history and name, patient diagnosis, patient examination procedures, drugs given and X-ray photos. The system can generate patient lists, doctor lists, drug lists, diagnostic lists, action lists, medical record reports, drug sales reports and income reports.Keywords : Medical Records, Dental Clinic , Visual Basic
Innovating Information Management System for Cow's Milk Distributor Sutanto, Yusuf; Al Amin, Budi; Setyadi, Heribertus Ary
Journal of Information System and Informatics Vol 5 No 4 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i4.615

Abstract

This study explores the recent advancements in cattle farming, focusing on the significant role of dairy farming in bolstering the economy, particularly in rural communities. It highlights how dairy farming enhances the economic value for farmers, with an emphasis on Banyuanyar Boyolali, where residents predominantly engage in this practice. The research underscores the profitability of selling cow's milk, noting the local milk prices, and aims to develop a web-based milk data management system. This system seeks to bring transparency and accessibility to milk production data, benefiting both farmers and collectors. Utilizing the Rapid Application Development (RAD) method, which involves minimal personnel, the study demonstrates how this web-based system streamlines data entry and access, facilitating better record-keeping and decision-making in dairy farming.
Implementation Economic Order Quantity and Reorder Point Methods in Inventory Management Information Systems Setyadi, Heribertus Ary; Al Amin, Budi; Widodo, Pudji
Journal of Information System and Informatics Vol 6 No 1 (2024): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i1.647

Abstract

Inventory control is at the core of supply management to balance inventory needs and demand. With an inventory system, management can control stock of materials and goods, production process and sales transactions can even stop the production process if necessary. Sari Gamping building materials store that sells various building needs including building materials and tools. Data management of goods, transactions and inventory processing still uses conventional methods using Microsoft Office. The purpose of this research is to analyze the ongoing inventory management process to create an inventory management information system so that it can help the Sari Gamping store in controlling inventory. The Economic Order Quantity (EOQ) and reorder point methods were chosen to optimize inventory to avoid shortages or excess inventories, to fulfill customer orders, to achieve cost efficiency and to prevent problems that may occur. The developed system can manage data on goods, categories, suppliers, manage purchase and sales transactions and can generate information from EOQ calculations, safety stock and reorder points. From the results of testing the calculations of the two methods used with 15 samples of catylac paint variants, the average inventory cost saving in June 2023 was 65.33%.
Improving Junk Sale and Purchase Transactions Using a Spiral Model-Based System Setyadi, Heribertus Ary; Supriyanta, Supriyanta; Nurohim, Galih Setiawan
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.871

Abstract

Traditionally, individuals looking to sell junk or recyclable materials often rely on waiting for roaming junk collectors, a process that is inefficient and lacks transparency. Furthermore, the fluctuating prices of junk goods frequently leave sellers uninformed, creating uncertainty in transactions. To address these issues, this research developed a smartphone-accessible system designed to facilitate junk goods transactions. The system was developed using the Spiral Model, ensuring iterative refinement and reliability. Key features of the system include real-time price updates for junk items, enabling customers to stay informed about the latest market values, and a Location-Based Service (LBS) feature that allows customers to share their location with collectors. This feature enhances the efficiency of junk collection by providing real-time location tracking, enabling collectors to locate and reach customers seamlessly. The implementation of this system aims to make junk buying and selling transactions more effective, transparent, and satisfying for customers. The results of this study demonstrate that the developed system significantly streamlines the transaction process, ensuring improved service delivery and customer satisfaction.
Knowledge-Based Intelligent System for Diagnosing Three-Wheeled Motorcycle Engine Faults Ary Setyadi, Heribertus; Supriyanta, Supriyanta; Nurohim, Galih Setiawan; Widodo, Pudji; Sutanto, Yusuf
JOIV : International Journal on Informatics Visualization Vol 8, No 4 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.4.2487

Abstract

Three-wheeled motor engine damage is one of the most serious problems with all motorcycles. When problems appear, it becomes difficult for users to repair and diagnose faults because knowledge about machine breakdown symptoms is minimal. Most motorcycle repair shops don’t have mechanics who understand tricycle motorbike engines, so they are less accurate in diagnosing damage symptoms, only based on estimates. Three-wheeled motorbikes have several differences in structure and spare parts compared to motorcycles because tricycle motorbikes have an axle like a car. For this problem, an information system is needed with a method that combines an expert's experience, expertise, and knowledge to develop expert system applications based on several cases that have been experienced and are known as case-based reasoning. This research aims to produce a web-based expert system to diagnose and solve tricycle motorbike engine damage problems. The case-based reasoning method with the K-Nearest Neighbor algorithm is used to assist in analyzing engine damage and give solutions to the issues in three-wheeled motorbike engines. Using two methods is appropriate because of the answers found and the similarities calculated by the cosine similarity method, which experts then review to get the proper solution. From testing using 20 samples of diagnostic data, an accuracy percentage of 85% was obtained. The calculation result for precision is 85%, and recall is 85%.
Implementation MFEP Method in Developing Recommendation System for Program Keluarga Harapan (PKH) Recipients Nugroho, Wawan; Nurohim, Galih Setiawan; Setyadi, Heribertus Ary Setyadi; Perbawa, Doddy Satrya
Paradigma - Jurnal Komputer dan Informatika Vol. 26 No. 2 (2024): September 2024 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v26i2.4978

Abstract

Poverty occurs because of the imbalance between unlimited human needs and limited resources. This results in a lack of income to meet basic living needs. The Indoonesian government's efforts to alleviate poverty include providing assistance to the poor or underprivileged with assistance called Social Assistance, one of which is the Program Keluarga Harapan (PKH). Problems often occur in determining who is entitled to receive PKH assistance. The conventional selection process is considered inefficient because it requires a long process and the influence of the committee's subjectivity in the assessment, the criteria used in the survey are not in accordance with government regulations and the limited quota of total PKH recipients, so there are still people who do not receive PKH even though they meet the criteria. This research uses the Multi Factor Evaluation Process (MFEP) method. System testing uses the black box method and Boundary Value Analysis techniques which focus on finding system errors. To test the system's accuracy by comparing the MFEP process from the system results and facts based on PKH recipients in 2022 and producing an accuracy value of 91%.
Effectiveness And Efficiency Of LLM Models Vs Traditional Machine Learning In Sentiment Analysis Of Indonesian Language Product Reviews Nurohim, Galih Setiawan; Amin, Budi Al; Setyadi, Heribertus Ary
Jurnal Media Computer Science Vol 4 No 2 (2025): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i2.8681

Abstract

This research aims to conduct a comparative analysis of the performance and efficiency of several machine learning models in the task of sentiment analysis on Indonesian language customer reviews. In the digital business era, a quick and accurate understanding of customer opinions is a strategic asset for making decisions, from product development to marketing strategy. Four models were evaluated: two Transformer-based models (agufsamudra/indo-sentiment-analysis and ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa), Naive Bayes, and K-Nearest Neighbors (KNN) on a dataset of 5,400 product reviews. The evaluation metrics used are Accuracy, Precision, Recall, and F1-Score. The results show that the Naive Bayes model and the Transformer model 'agufsamudra/indo-sentiment-analysis' achieve the highest performance with an F1-Score and accuracy of around 95%, significantly outperforming other Transformer models (90%) and KNN (47%). The crucial finding of this research is that the performance of the classical Naive Bayes model is equivalent to the state-of-the-art Transformer model. From an accounting and business perspective, this implies that solutions with much higher computational efficiency (Naive Bayes) can provide a more optimal Return on Investment (ROI) for large-scale implementation of customer sentiment monitoring systems.
Penentuan Kelayakan dan Jenis Lembaga Keuangan dalam Pemberian Modal UMKM Menggunakan Metode AHP dan Decision Tree Setyadi, Heribertus Ary; Nurohim, Galih Setiawan; Nugroho, Wawan
Jurnal Ilmiah FIFO Vol 16, No 1 (2024)
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/fifo.2024.v16i1.007

Abstract

Terdapat beberapa kendala dibalik kehadiran UKM dalam pengelolaan usaha tersebut, antara lain kesulitan memperoleh pinjaman dari perbankan karena kurangnya pengetahuan pegawai yang ada, kurangnya perkembangan teknologi informasi, dan beberapa syarat yang tidak dapat terpenuhi. Tujuan penelitian ini untuk mengembangkan sistem pendukung keputusan yang dapat membantu dalam menentukan kelayakan UMKM dan lembaga keuangan yang sesuai untuk melakukan pinjaman. Terdapat 25 sampel UMKM yang berada di Kota Surakarta untuk dijadikan bahan penelitian. Algoritma decision tree dan metode Analytic Hierarchy Process (AHP) digunakan dalam penelitian ini. Tahap pertama untuk penentuan kelayakan suatu UMKM yang akan diberi pinjaman menggunakan algoritma decision tree. Penentuan rekomendasi jenis lembaga keuangan yang sesuai menerapkan metode AHP. Dari hasil pengujian diperoleh tingkat akurasi penerapan algoritma decision tree sebesar 80%. Pengujian tingkat akurasi penerapan metode AHP menghasilkan nilai 76,9%. Dari kedua pengujian tersebut, dapat dikatakan bahwa sistem yang dibuat sudah baik atau akurat.
Tips dan Trik Pemasaran Digital Bagi BUMDes Banaran Kulon Progo Untuk Meningkatkan Minat Beli Masyarakat Annida Purnamawati; Heribertus Ary Setyadi; Yulianto; Eka Rahmawati
PRAWARA Jurnal ABDIMAS Vol 3 No 4 (2024): PRAWARA JURNAL ABDIMAS
Publisher : CV. Manha Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63297/abdimas.v3i4.124

Abstract

Hadirnya revolusi digital ditandai dengan terus berkembangnya media sosial, teknologi smartphone, serta kemudahan dalam akses internet telah merubah cara kerja bisnis dan konsumen secara dramatis. BUMDes berorientasi pada pemanfaatan ekonomi yang dapat memberikan manfaat sosial dan non-ekonomi untuk pembangunan desa. Manfaat ekonomi antara lain dapat meningkatkan pendapatan desa dengan semakin meluasnya lapangan kerja, dan aktivitas ekonomi pedesaan. Terdapat sentra kuliner lele asap yang sudah banyak dikenal dan digemari para wisatawan yang datang ke desa Banaran yang terletak dekat dengan pantai. Di desa Banaran juga banyak tumbuh industri kecil menengah yang mengolah berbagai jenis kuliner berbahan ikan, baik ikan yang dibudidayakan oleh masyarakat maupun ikan hasil tangkapan laut para nelayan. Konsumen saat ini berperan di garis terdepan dalam penyampaian secara digital yang tidak hanya mengkonsumsi data dan informasi namun juga menjadikan konten dalam pemasaran sebagai alat bantu yang penting. Diadakannya kegiatan pengabdian masyarakat untuk memberikan wawasan juga tips trik tentang pemasaran digital di era industri 5.0. dalam kegiatan ini juga mengajak peserta untuk memasarkan bisnisnya menggunakan fitur google maps. Hasil dari kegiatan ini adalah pemahaman dalam pemararan digital dan sudah dipublikasikannya bisnis di google maps.
Enhance Artificial Intelligence Literacy for Islamic Boarding School Students Using the Asset Based Community Development Method Setyadi, Heribertus Ary; Agustina, Candra; Haryanto, Wawan; Rousyati, Rousyati
WASANA NYATA Vol 9, No 1 (2025)
Publisher : STIE AUB Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36587/wasananyata.v9i1.1970

Abstract

Use of artificial intelligence (AI) in teaching and learning has become an increasingly important topic in modern education context. AI offers a wide range of potential to enhance students' learning experiences through better personalization and adaptation to individual needs. From initial observations in several Islamic boarding schools in Banjarsari Surakarta, it was found that understanding of students and teachers about AI and AI supporting applications was still lacking. As part of efforts to improve education quality and community readiness to face a digital era, Bina Sarana Informatika University, Surakarta City Campus, took an initiative to implement a community service program in form of training on using AI in education for students. Community service method used in this activity is the Asset Based Community Development (ABCD) approach which aims to empower communities by utilizing existing potential and resources. Implementation stages include needs analysis (Discovery), expectations formulation (Dream), design of training modules (Design), finalization of plans with FGD (Define), and training implementation (Destiny). AI workshop for Islamic boarding schools has been successfully implemented with good results. From questionnaires that have been filled out by all participants, it shows that workshop materials presented are very useful, materials and tutors delivery method are satisfactory. Workshop participants who are satisfied or rate it good are 63% and those who rate it as very satisfied or very good are 32%.
Co-Authors - STIE AUB Surakarta, Yusuf Sutanto Agung Nugroho Ahmad Fauzi Akhmad Syukron Al Amin, Budi Amin, Budi Al Annida Purnamawati Bambang Eka Purnama Bambang Eka Purnama Bambang Eka Purnama Bambang Eka Purnama Budi Al Amin Cahyo Nugroho, Ernes Candra Agustina Dahlan Susilo Doddy Satrya Perbawa Eka Rahmawati Emmita Devi Hari Putri Ernes Cahyo Nugroho - STMIK AUB Surakarta Fauzi Ahmad Muda Galih Setiawan - UBSI Galih Setiawan Nurohim Galih Setyawan Nurohim Hartati Dyah Wahyuningsih Haryanto, Wawan Indradewa, Rhian Kristianto, Agus Nurohim, Galih S Pudji Widodo Pudji Widodo Pudji Widodo Rousyati, Rousyati Sabdo Aji, Ananto Sardiarinto Sardiarinto Satrya Perbawa, Doddy Sri Rejeki Sundari . Sundari Sundari Sundari Sundari Supriyanta Supriyanta Susanti, Nani Irma Suseno, Adnan Terry Sutanto Sutanto Sutanto Sutanto Wahyuningsih, Hartati Dyah Wawan Haryanto Wawan Nugroho Yulianto Yusuf Sutanto Yusuf Sutanto