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All Journal Techno.Com: Jurnal Teknologi Informasi JURNAL DERIVAT: JURNAL MATEMATIKA DAN PENDIDIKAN MATEMATIKA Jurnal Teknologi Informasi dan Ilmu Komputer Infotech Journal Jurnal Informatika Upgris Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta SINTECH (Science and Information Technology) Journal Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Sistem Informasi dan Aplikasi IJEEIT : International Journal of Electrical Engineering and Information Technology Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Progresif: Jurnal Ilmiah Komputer International Journal of Economics, Business and Accounting Research (IJEBAR) bit-Tech JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Budimas : Jurnal Pengabdian Masyarakat Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat Infotek : Jurnal Informatika dan Teknologi Journal of Computer Networks, Architecture and High Performance Computing Jurnal Teknik Informatika (JUTIF) Jurnal Pendidikan dan Teknologi Indonesia Bulletin of Computer Science Research Jurnal Ekonomi Journal Computer Science and Informatic Systems : J-Cosys International Journal Software Engineering and Computer Science (IJSECS) International Journal of Management Science and Information Technology (IJMSIT) COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat Jurnal Teknik Informatika Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Journal of Scientech Research and Development Duta Abdimas: Jurnal Pengabdian Masyarakat Proceeding of International Conference Health, Science And Technology (ICOHETECH) Mestaka: Jurnal Pengabdian Kepada Masyarakat Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Innovative: Journal Of Social Science Research Bengawan :Jurnal Pengabdian Masyarakat SOROT: Jurnal Pengabdian Kepada Masyarakat Journal Of Artificial Intelligence And Software Engineering Jurnal Ilmu Komputer dan Sistem Informasi CSRID Informasi interaktif : jurnal informatika dan teknologi informasi Jurnal ilmiah teknologi informasi Asia Edu Komputika Journal Jurnal Informatika Dan Tekonologi Komputer Jurnal Publikasi Ilmu Komputer dan Multimedia Governance IT Adoption and Technology Advance
Eko Purwanto
Universitas Duta Bangsa Surakarta
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

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SALES TRANSACTION DATA EVALUATION INFORMATION SYSTEM USING CLUSTERING MODEL Eko Purwanto; Farahwahida binti Mohd; Zalizah Awong Long; Singgih Purnomo
Proceeding of International Conference on Science, Health, And Technology Vol. 4 No. 1 (2023): Proceeding of the 4th International Conference Health, Science And Technology (
Publisher : LPPM Universitas Duta Bangsa Surakarta

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Abstract

Sales evaluation exercises at instruments or trading enterprises with many outcomes and components are critical to determining the company's business development. Enterprise managers must know and evaluate sales data through reports on all branchesA trading business that has a department store, so it is essential to assess the sales trade. This sales evaluation knowledge system is necessary to promote store leadership in the deals evaluation strategy, which aims to aid the administration's decision-making process. The dealing data is evaluated using a clustering model to find a group of products selling well, especially in demand and not selling well. The algorithm used in clustering is by using K-Means. The sample data used is sales transaction data of 122 sales transaction data. Based on the results of the Davies Bouldin, it was found that the number of clusters with the best performance was 4 clusters with a Davies Blouldin value of -0.371. This analysis results in the sales data evaluation information system using the clustering model as an instrument for store managers to evaluate deals data at all department stores. The result of this method can be caused by the supervision as data in the decision-making method.
SISTEM INFORMASI KELUAR MASUK BARANG DI KANTOR CABANG PT. RODA HAMMERINDO JAYA BERBASIS WEB Novita Puspitasari; Eko Purwanto; Ery Permana Yudha
Jurnal DutaCom Vol 16 No 2
Publisher : Fakultas Ilmu Komputer Universitas Duta Bangsa Surakarta

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Abstract

Roda Hammerindo Jaya is a company engaged in the distribution of caster wheels, material handling and hospital bed equipment. The process of entering and leaving goods is a company asset that greatly affects the smooth running of the company's business. So far, when the goods management process is still using a manual system, including recording incoming and outgoing goods based on travel documents and then copying them to a computer (spreadsheets). Because the data has not been computerized properly, so that from this process it sometimes causes errors in calculating goods, it is found that several items have a difference in the amount when calculating the stock and when information is needed about the stock of goods, the existing data is not necessarily valid with the existing goods. In this study the authors used the PIECES method to analyze system weaknesses and the Waterfall method for system development, using the PHP and MySQL programming languages as the database. For testing the system using the Blackbox Testing method. This research resulted in an information system for goods in and out at the branch office of PT. Roda Hammerindo Jaya is a web-based tool that makes it easy for users to manage stock and stock information and can print reports when needed. The test results that have been carried out using blackbox testing indicate that the system can run and function properly as expected.
THE APPLICATION OF INFORMATION TECHNOLOGY IN IMPROVING INNOVATION PERFORMANCE FOR STUDENT ENTREPRENEURS Indah Wahyu Utami; Eko Purwanto; Diana Novira; Fioga Zahra Fernando
International Journal of Economics, Business and Accounting Research (IJEBAR) Vol 6, No 4 (2022): IJEBAR, Vol. 6 Issue 4, December 2022
Publisher : LPPM ITB AAS INDONESIA (d.h STIE AAS Surakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijebar.v6i4.7080

Abstract

A business organization is always with products, business processes, and innovations. As a process of managing business innovation management so that it can create a sustainable competitive advantage. Efforts to create an effect on innovation performance require synergy in innovation performance and information technology. So that the business can be sustainable and support the competitiveness of student entrepreneurs. The purpose of this study is to determine the application of information technology to improve innovation performance management for student entrepreneurs. The sample in this study was 100 student entrepreneurs at some private universities in Surakarta. This study used a quantitative descriptive research design. Research by distributing questionnaires to respondents obtained results that student entrepreneurs Most of them have utilized information technology in business management. The business fields carried out by the respondents in this study include culinary, service, beauty, and fashion.
Sistem Informasi Manajemen Rumah Sakit Dalam Meningkatkan Efisiensi Ilham Fahrul Pratama; Eko Purwanto
COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat Vol. 3 No. 07 (2023): COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/comserva.v3i07.1044

Abstract

Seiring dengan tingginya kebutuhan masyarakat terhadap layanan kesehatan menuntut instansi kesehatan seperti Rumah Sakit untuk meningkatkan kinerja dan kualitas pelayanannya. Dalam rangka memberikan pelayanan prima, Rumah Sakit sudah seharusnya mampu menetapkan kebijakan-kebijakan strategis yang berkaitan dengan sumber daya manusia, internal organisasi, maupun manajemen rumah sakit. Melalui kebijakan-kebijakan strategis tersebut diharapkan Rumah Sakit dapat lebih efisien, efektif, responsif dan inovatif dalam hal penyelenggaraan pelayanan sehingga masyarakat atau publik yang merupakan pengguna layanan merasa puas atas pelayanan yang diberikan Rumah Sakit. Sistem Informasi Manajemen Rumah Sakit atau SIMRS merupakan salah satu kebijakan strategis yang dapat diterapkan Rumah Sakit agar penyelenggaraan pelayanan Rumah sakit dapat berlangsung secara lebih efisien. Penulisan artikel ini bertujuan menganalisis mengetahui bagaimana sistem informasi manajemen rumah sakit dalam meningkatkan efisiensi. Pendekatan atau metode kepustakaan (library research) digunakan dalam penelitian ini Hasil tulisan ini menunjukkan bahwa implementasi SIMRS dapat meningkatkan efisiensi rumah sakit baik dari segi proses atau alur pelayanan. Hal ini mendorong berkurangnya biaya operasional rumah sakit, meningkatkan kinerja rumah sakit, meningkatkan kemampuan sumber daya manusia di rumah sakit, serta mengembangkan organisasi rumah sakit ke arah yang lebih baik. Namun demikian, implementasi SIMRS tidak terlepas dari hambatan dan kendala. Maka dari itu, manajemen Rumah Sakit supaya mengevaluasi dan mengambil langkah-langkah untuk mengatasi hal hambatan dan kendala tersebut.
Analisis Sentimen Model Distilbert Multilingual Cased Dalam Mengklasifikasikan Ulasan Game Genshin Impact Abdullah Sajad; Nurmalitasari Nurmalitasari; Eko Purwanto
Computer Science Research and Its Development Journal Vol. 16 No. 2 (2024): June 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid.16.2.2024.124-136

Abstract

The evolution of information technology has revolutionized how humans engage with the world, particularly within the gaming sector. This paper explores the utilization of the DistilBERT Multilingual Cased model for analyzing sentiments expressed in Genshin Impact game reviews. The research methodology encompasses gathering data from Google PlayStore and Apple AppStore, manually labeling data, preprocessing it, and employing the DistilBERT Multilingual Cased model for analysis. The model's performance is assessed using metrics such as accuracy, precision, recall, and f1-score. Findings reveal that the model effectively categorizes sentiment in reviews, achieving an overall accuracy of 82%. Precision, recall, and f1-score metrics consistently surpass 0.77 across all sentiment categories. This study concludes that the DistilBERT Multilingual Cased model shows promise as a valuable tool for multilingual sentiment analysis within the realm of game reviews.
Web-Based Gamelan Marketing Information System with CRM Strategy and New Product Delivery via Email at Sido Dadi Gamelan Industry in Jatiteken Village Putri Wibowo, Armeta Eka; Purwanto, Eko; Permatasari , Hanifah
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i2.2661

Abstract

The gamelan industry in Indonesia, as a rich and historical cultural heritage, faces significant challenges in sales and marketing, particularly in terms of efficiency and market reach. This article focuses on the implementation of information technology through the development of a web-based marketing information system supported by a Customer Relationship Management (CRM) strategy in the Sido Dadi Gamelan industry, located in Jatiteken Village, Sukoharjo Regency. This system is designed to facilitate more efficient and effective online sales, with a new product notification feature via email that is expected to expand market reach and enhance customer interaction. Additionally, the system aims to improve customer satisfaction through better relationship management, ultimately contributing to increased company profitability. The implementation of this information technology not only addresses the challenges faced by the gamelan industry but is also expected to strengthen the industry’s position in the global market through a more modern and structured marketing strategy.
Enhancing Customer Experience and Satisfaction through Mobile-Based Salon and Spa Reservations on Android Platforms Permatasari, Hanifah; Purwanto, Eko; Triyono, Triyono
IJEEIT : International Journal of Electrical Engineering and Information Technology Vol 7 No 1 (2024): March 2024
Publisher : NAROTAMA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29138/ijeeit.v7i1.2621

Abstract

Salons and spas in Indonesia need to utilize information technology to improve business performance and provide customers with a more personalized experience. The integration of digital reservation systems, online marketing, and technology-based customer management will help improve operational efficiency and gain valuable customer feedback. Digital reservation systems enable salons and spas to improve business performance by providing easy access to customers, increasing the efficiency of scheduling management, and providing a more personalized experience, which is an important strategy in the competitive digital era. One of the alternative digital reservation systems that can be used by salons and spas in Indonesia is Android-based. This research resulted in an Android-based digital reservation system that focuses on customer experience. The object of the research is Spaque Salon & Day Spa, an MSME in Indonesia. Through mobile technology, customers can easily book and manage their treatments. Test results showed positive feedback regarding the user interface, reservation steps, and interactive features. The system also helps with schedule management, additional services, offers, as well as revenue and financial tracking. This research combines customer and technology perspectives, contributing to the salon and spa industry as well as mobile technology developers.
Determining the Factors that Influence e-Marketplace Selection from Seller’s Perspective Using a Binary Logistic Regression Model Purwanto, Eko; Mohd, Farahwahida binti; Long, Zalizah Awang; Purnomo, Singgih
IJEEIT : International Journal of Electrical Engineering and Information Technology Vol 7 No 1 (2024): March 2024
Publisher : NAROTAMA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29138/ijeeit.v7i1.2642

Abstract

The rapid development of information and communication technology influences changes in aspects of life in the economic sector. The application of information and communication technology supports business development. The development of the internet has become a technology that makes business activities such as marketing and sales easier. The growth of internet users in Indonesia reached 78% of the total population. E-commerce users in Indonesia reach 34.10% of all business people in Indonesia. One place to sell online is through e-marketplace. Many e-marketplaces require sellers to select e-marketplaces as a place to sell their products online. Each e-marketplace has different characteristics, so you must consider many factors when choosing an e-marketplace. In this research, it is known that two factors are formed based on factor analysis, namely the Product Quality Factor, the Service and Quality Factor, and the System Factor. In addition, the market selection model was determined using binary logistic regression analysis. The model formed in this research is the e-marketplace selection model Tokopedia, Shopee, and Lazada. Based on the results of the feasibility model using binary logistic regression, it produces an overall e-marketplace selection model with an accuracy level of 76.13%. This evaluation model can be used by sellers who want to choose a market that suits the products offered to increase profits.
Optimisasi Klasifikasi Sentimen Pada Review Hotel Bahasa Inggris Dengan Model Roberta Twitter Setiadi, Bagas; Purwanto, Eko; Permatasari, Hanifah
SINTECH (Science and Information Technology) Journal Vol. 7 No. 2 (2024): SINTECH Journal Edition Agustus 2024
Publisher : Prahasta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v7i2.1547

Abstract

Dalam era digital, wisatawan sering menggunakan internet untuk mencari dan memesan hotel. Ulasan hotel online adalah sumber informasi penting bagi calon tamu, namun sentimen dalam ulasan ini sulit diinterpretasikan karena bahasa yang kompleks dan kontekstual. Klasifikasi sentimen yang akurat dalam ulasan hotel berbahasa Inggris memerlukan strategi yang canggih. Penelitian ini fokus pada model RoBERTa Twitter, yang merupakan pengembangan dari BERT (BiDirectional Encoder Representations from Transformers) Google, untuk meningkatkan pemahaman bahasa dan kinerja dalam konteks ulasan hotel. Dengan pendekatan pelatihan yang lebih komprehensif, model ini diharapkan dapat meningkatkan akurasi analisis sentimen. Penelitian ini melibatkan tahapan identifikasi masalah, seleksi data, preprocessing, pemodelan, dan pengujian hyperparameter. Hasil evaluasi menunjukkan kinerja model yang memuaskan dengan akurasi sentimen 88%, namun akurasi untuk aspek tertentu lebih rendah, dengan fasilitas 75%, pelayanan 78%, kamar 81%, serta lokasi dan harga 84%. Penelitian ini bertujuan untuk memberikan kontribusi dalam meningkatkan akurasi analisis sentimen, mendukung keputusan yang lebih tepat dalam pemilihan hotel online.
Analisis Sentimen Twitter Tentang Wisata di Kota Solo Fatimah, Siti; Purwanto, Eko; Permatasari, Hanifah
Techno.Com Vol. 22 No. 4 (2023): November 2023
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/tc.v22i4.9154

Abstract

Analisis sentimen digunakan untuk memahami pandangan dan pendapat masyarakat terhadap suatu hal, serta untuk mengidentifikasi tren topik pembicaraan. Dalam upaya merespon keluhan dan meningkatkan pelayanan kepada masyarakat, Dinas Pariwisata kota Solo aktif memanfaatkan berbagai platform media sosial seperti Twitter, Instagram, Facebook, web ULAS, dan Halo Mas Wali sebagai sarana komunikasi interaktif dengan masyarakat. Melalui media sosial ini, dapat mempermudah pegawai dalam proses pengumpulan sentimen masyarakat, yang nantinya akan menjadi dasar untuk menetapkan kebijakan dan strategi pembangunan. Oleh karena itu, diperlukan aplikasi analisis sentimen yang mampu mengklasifikasikan setiap tweet menjadi tiga kategori, yakni positif, netral dan negatif. Algoritma yang digunakan yaitu Naive Bayes. Naive Bayes adalah algoritma klasifikasi yang menggunakan probabilitas fitur untuk memprediksi label data, dengan asumsi fitur saling independen. Algoritma tersebut cocok untuk klasifikasi big data karena efisien pada data besar dan beragam. Hasil dari pembuatan aplikasi analisis sentimen ini adalah menunjukkan bahwa aplikasi dapat secara otomatis melabeli data menggunakan metode Naive Bayes berbasis PHP dan MySQL. Proses crawling data dari Twitter dilakukan melalui Google Colab menggunakan bahasa Python. Dalam implementasinya, aplikasi ini dapat membantu dalam melakukan klasifikasi opini masyarakat terhadap tempat wisata di kota Solo. Dilakukan pengujian validasi data untuk menguji kesamaan hasil perhitungan sistem dan manual menggunakan 3 data training dan 1 data testing yang didapatkan hasil klasifikasi data testing positif. Berdasarkan pengujian yang telah dilakukan dengan 500 data menggunakan metode naive bayes didapatkan hasil klasifikasi netral berjumlah 122 data, positif 302 data dan negatif 76 data dengan akurasi sebesar 70,2%%, presisi 67% dan recall 100%  
Co-Authors Abdullah Sajad Aditia, Aditia Afu Ichsan Pradana Agung Wicaksono Agus Mardiyono Agustina Srirahayu Ajeng Putri Sulistyawati Alvian Setiono, Stefanus Amelia, Dinda Anggit Nurhidayah Annisa Zalzabilla Rahmawati Aprilia Pramudita Aprilia Putri, Eka Aprilisa Arum Sari Ari Zusnan Fahrudin Arya Kusumadewa Aulia Fajria Hafidhotun Awong Long, Zalizah Bagaskara, Ikrar Bambang Prasetyo Bangun Pradjadi Cipto Utomo Bangun Prajadi Cipto Utomo Benaya Chessa Sarmanela binti Mohd, Farahwahida Bondan Wahyu Pamekas Budi Waluyo, Arif Devi Pramita Sari Dewi Kuncorowati Diana Novira Didik Nugroho Djoko Santosa, Tri Dwi Hartanti Dwi Septieni Ema Sagita Desylawati Ery Permana Yudha Ery Permana Yudha Fadhil Ibnu Is’ad Faiq Muhammad, Nibras Farahwahida binti Mohd Farahwahida Mohd Farahwahida Mohd Fathin Ryfsa Fadilah FAULINDA ELY NASTITI Fauzan Sadewa Feny Ramadhani Ferdiana Rossi Feri Setiyono Fioga Zahra Fernando Fiqih Dwi Rifai Ghoffar Pangestya Prabowo Hafidz Munawar Kholil hanif, abdurrohman hanifa Permatasari Hanifah Permatasari Hanifah Permatasari, M.Kom Hany Arya Wardhany Hartono - Hartono Hartono Hasanah, Herliyani Hilmi Putra Andriano, Muhammad Ika Ayu Pertiwi Ika Putri Pujianti, Ika Putri Pujianti Ilham Fahrul Pratama Imam Arifin Indah Nofikasari Indah Wahyu Utami Indra Hastuti Intan Oktaviani Irawan, Ridwan Dwi Jati Prabawa, Dhimas Jordan, Alles Tio Karima, Yuyun KHABIB ALIA AKHMAD Kris Dayanti Kurnia Sari, Vena Kuswulandari, Reni Liana Trihardianingsih Long, Zalizah Awang Maharani, Tiara Putri Manase Rezata Purba Margaretha Evi Yuliana Marginingsih Marginingsih Maulindar, Joni Moh. Muhtarom, Moh. Mohd, Farahwahida Mohd, Farahwahida binti Muhammad Fahmi Panwar Muhammad Ilham Pratama Muhtarom, Moh Mustova, Rizal Ni’mal ‘Abdu, Aghni Rizqi Nibras Fa’iq Muhammad Niken Galuh Aryani Norma Puspitasari Novita Puspitasari Novita Widyasari Nur Indahsari, Reggie Nur Istianto, Yudha Nurchim Nurmalitasari Nurmalitasari Nurmalitasari Nurrohman Oktaviani, Intan Otami Amalina Permana Yudha, Ery Permatasari, Hanifah Pipin Widyaningsih Prastya, Alvian Bagus Primadeni, Febriaji Purwanto, Moch. Edy Puspita Indah, Ratna Putri Wibowo, Armeta Eka Rahmadhani, Istining Ramadhan, Navin Randis Wahyuni Ratmini, Yuli Ratna Puspita Indah Rini, Selfia Yustika Rizqy Alfiansyah, Rafif Rohmat Eko Prasetyo Rudi Susanto Rudi Susanto, S.Si., M.Si., Ph.D Sabar Sularno Sajad, Abdullah Santosa, Tri Djoko Sari, Hanifah Permata Satrio Irawan, Fandy Savio Nelinhos Dos Santos Septian Aristianto Setiadi, Bagas Setiyani, Rahmawati Setrayana, Abiyyu Shandra Isti Kharisma Auliya Alamsyah Sigit Gunawan Singgih Purnomo Siska Danawati Siti Fatimah Siti Wahyuni Softi Ulin Nuha Sopingi Sopingi Sopingi, Sopingi Sri Ningrum Sri Rejeki SRI SUMARLINDA Sri Sumarlinda, S.Kom, M.Kom, Ph.D Sri Surmalinda Sukma Rahmawati Sukma, Cahyaning Arum Sundari . Taufiq Nur Arifin Telaga Nabila Putri Riyanto Titin Listiani Tri Djoko Santosa Tri Prasetyo, Heri Triana, Triana Triyono Triyono Triyono Triyono Umar Choirul Hadi Utami, Maulinda Devi Velinda Febriana Verdiyanto, Ricky Vihi Atina Wiji Lestari Wijiyanto Wulan Nur Layli Yusmawan Dwi Suseno Yusuf Esema Zakhi Febriyan Zalizah Awong Long