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All Journal JURNAL DERIVAT: JURNAL MATEMATIKA DAN PENDIDIKAN MATEMATIKA Infotech Journal Jurnal Informatika Upgris Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Progresif: Jurnal Ilmiah Komputer Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat International Journal Software Engineering and Computer Science (IJSECS) COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat Jurnal Inkofar Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Journal of Scientech Research and Development Proceeding of International Conference Health, Science And Technology (ICOHETECH) Prosiding Seminar Nasional Teknologi Informasi dan Bisnis CSRID
Purwanto, Eko
Universitas Duta Bangsa Surakarta
Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation

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Implementasi Data Mining Algoritma K-Means untuk Clustering Penyakit di RS Panti Waluyo Surakarta Anggit Nurhidayah; Wiji Lestari; Eko Purwanto
Jurnal DutaCom Vol 15 No 2
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/dutacom.v15i2.2009

Abstract

Kebutuhan informasi dan pengetahuan baru untuk pendukung keputusan Rumah Sakit sangat diperlukan, ancaman gangguan kesehatan mulai diutarakan oleh badan kesehatan dunia dan menjadi fokus pemerintahan dalam usaha peningkatan kesejahteraan kesehatan masyarakat. Untuk itu diperlukan pengelompokan penyakit untuk mengetahui pola / jenis gangguan kesehatan dengan jumlah banyak maupun sedikit. Dikarenakan jumlah data rekam medis dan variabel data yang banyak maka dibutuhkan metode untuk mempermudah pengelompokan penyakit. Dengan pendekatan pengklasteran K-means, pembagian kelompok penyakit dapat dilakukan berdasarkan 3 variabel yaitu umur (vu), kode penyakit (vi) dan kecamatan (vk). Pada penelitian ini dilakukan pengklasteran menggunakan algoritma K-means yang diimplementasikan kedalam kode bahasa pemrograman. .Hasil dari pengelompokkan direpresentasikan dalam bentuk grafik sehingga pihak eksekutif lebih mudah memahami hasil pengelompokan data tersebut. Dari proses pengelompokan 200 data rekam medis periode rebruari 2019 didapatkan 3 kelompok yaitu cluster 1 dengan penyakit tertinggi Chronic ischaemic heart disease, unspecified usia terbesar lansia dengan wilayah wilayah laweyan, cluster 2 penyakit tertinggi Fever, unspecified usia terbesar dewasa dengan wilayah terbanyak laweyan, dan cluster 3 dengan penyakit tertinggi Low back pain usia lansia dengan wilayah terbanyak banjarsari dan laweyan.
Sistem Rekomendasi Pariwisata Dengan Metode Content Based Recommendation Berbasis Website (Studi Kasus: Dinas Pariwisata Dan Budaya Surakarta) Bambang Prasetyo; Vihi Atina; Eko Purwanto
Jurnal DutaCom Vol 14 No 1
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (418.266 KB) | DOI: 10.47701/dutacom.v14i1.2017

Abstract

Klasifikasi wisata Surakarta dibedakan menjadi 8 kategori Dilihat dari data pengunjung pada tahun 2019 banyaknya pengunjung wisatawan terjadi pada obyek wisata kategori wisata sejarah, , hal ini dikarenakan wisata budaya yang ada di kota Solo adalah wisata yang banyak di isi dengan pementasan yang tidak semua orang dapat mengetahui tempat dan waktu buka acara dengan adanya permasalahan tersebut maka penulis ingin membuat suatu sistem rekomendasi tempat pariwisata budaya Surakarta. Metode dalam pengembangan sistem ini penelitian ini mengunkan waterfall dengan tahapan Requirements analysis and definition, System and software design, Implementation and unit testing, Integration and system testing, Operation and maintenance. Analisis mengunakan metode SWOT. Desain proses mengunakan UML. Metode rekomendasi mengunakan . Implemnetasi mengunakan Bahasa pemograman PHP, testing mengukanan pengujian black box dan recall precision. Hasil sistem rekomendasi terdiri dari dua akse yaitu admin dan user. Sistem rekomendasi dapat memberikan rekomendasi wisata budaya berdasarkan atribut yang di inputkan oleh user. Hasil pengujian black bok menunjukan semua fungs pada sistem rekomendasi sudah dapat berjalan sesuia yang diharapkan. hasil pengujian recall dan precision menunjukan nilai persentase recall 100% dan nilai persentase precision 89%
Sistem Informasi Penjadwalan Pesanan Dengan Metode Earliest Due Date (EDD) (Studi Kasus: Berkah Media Sarana) Feny Ramadhani; Eko Purwanto; Intan Oktaviani
Jurnal DutaCom Vol 14 No 2
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1101.681 KB) | DOI: 10.47701/dutacom.v14i2.2022

Abstract

Berkah Media Sarana adalah perusahaan yang bergerak percetakan. Sistem yang sedang berjalan saat ini masih manual hanya dicatat dalam kertas untuk pemesanan dari desain, cetak hingga finishing. Sehingga informasi yang dikeluarkan tidak akurat. Data yang diperoleh hanya untuk sementara setelah pesanan selesai dikerjakan maka data itu tidak dipergunakan atau disimpan. Perusahaan belum mengetahui makna data itu sendiri. Perusahaan ini hanya melakukan produksi jika ada pesanan saja. Pelanggan memesan desain, finishing yang diinginkan dan menentukan tanggal jatuh tempo (due date) kemudian data itu dicatat pada sebuah nota 2 rangkap untuk pelanggan dan untuk kantor juga dicatat di whiteboard kantor untuk penjadwalan cetak. Perusahaan hanya memperkirakan kapan pesanan itu proses cetak dan dapat diambil tanpa melihat pesanan lain. Hal ini dapat merugikan perusahaan dan banyak terjadi komplain dari pelanggan karena jatuh tempo yang disepakati terlambat dan ketidakpastian jadwal dan pesanan yang masuk. Metode yang digunakan adalah Earliest due date (EDD) yang memberikan prioritas tertinggi pada produk yang prosesnya memiliki (due date) batas waktu penyelesaian terpendek. Metode ini lebih mudah diterapkan dan dipahami. Untuk mengurangi kesalahan-kesalahan yang telah terjadi tersebut. Sistem penjadwalan pesanan ini dengan metode Earliest due date (EDD) dengan memperhitungkan pesanan masuk dan waktu produksi cetak sehingga perusahaan Berkah Media Sarana dapat memberikan informasi kapan produski pesanan itu dilakukan dan pesanan jatuh tempo dapat diminimalisir dalam keterlambatannya. Sistem yang di hasilkan dari penelitian ini adalah sistem sudah bisa di gunakan untuk mencatat pemesanan dan penjadwalan dengan metode ealist due date dimana keduanya saling berkaitan sehingga pesanan dapat diproses sesuai jatuh tempo dengan meminimalisir keterlambatan.
Prediksi Performa Mahasiswa Menggunakan Model Regresi Logistik Nurmalitasari Nurmalitasari; Eko Purwanto
Jurnal Derivat: Jurnal Matematika dan Pendidikan Matematika Vol. 9 No. 2 (2022): Jurnal Derivat (Desember 2022)
Publisher : Pendidikan Matematika Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jderivat.v9i2.2639

Abstract

Prediction of student performance is an important thing for a university. This is because it can help a university to prevent or treat students who are at risk of failing in their studies early. This study aims to predict student performance at Duta Bangsa Surakarta University (UDB). The model used in this study is a logistic regression model. Logistic regression is a mathematical modelling method used to determine the relationship between a binary dependent variable and one or more independent variables. The results showed that the logistic regression model could be used to predict student performance with MAPE by 8%.  Keyword: Student Performace, Logistic Regression, UDB, MAPE
Policy of Information and Communication Technologies to Promote the Formation of Future Business Models Velinda Febriana; Eko Purwanto
Proceeding of International Conference on Science, Health, And Technology 2021: Proceeding of the 2nd International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1314.817 KB) | DOI: 10.47701/icohetech.v1i1.1118

Abstract

ICT industry becomes a driver of change, many sectors that can change not only from the telecommunications sector. ICT developments are spurring the digital economy enables sectors that had previously been in the safe zone, being threatened because of the presence of substitute industry that has begun to emerge. Trend to date, some companies use Internet-based applications to support the marketing of their products. Not only on the promotional activities featuring products that are known by consumers, even some companies use Internet technology to support transactions, such as the sale of products to consumers. Innovation and competition to push toward creative destruction, there is a long lost services and value added is replaced by the presence of ICT innovation. The government must be present and ready to anticipate the changes that may occur due to the development of ICT, which grew rapidly at the policy level. The study is qualitative and done through the study of literature and focused discussions involving experts and stakeholders concerned. the results of this study are as advice on policy will be taken by the government to the ICT industry sector forward in the face of the rapid innovation of ICT.
E-Counseling System Mental Health to Increase Self Hope During the Covid-19 Pandemic Sukma Rahmawati; Eko Purwanto
Proceeding of International Conference on Science, Health, And Technology 2021: Proceeding of the 2nd International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (816.425 KB) | DOI: 10.47701/icohetech.v1i1.1123

Abstract

Indonesia since 2020 has implemented the Work From Home to break the chain of transmission of Covid-19. facing a pandemic because the Covid-19 virus emerged from Wuhan, China. To meet the needs, the constant saturation, and the anxiety that comes from being too afraid of this virus. In fact, mental health is very important for work or even more productive activities, because if we are mentally and mentally healthy, physically we can follow activities properly. So maintaining mental health is very important in order to be able to face the pandemic atmosphere and still have a purpose in life. It doesn't just stop there, the pandemic also attacks everyone mentally, economic instability causes people to work harder and be depressed. Therefore, this paper is written to propose the idea of ​​a mental health consultation system as a mediator to increase life expectancy. Economic instability causes people to work harder and pressured to make ends meet, the boredom that continues to be felt, and the anxiety that is present from being too afraid of the virus. The method used in this paper is the literature study method and the existence of a design system called the prototyping method. Literature study is carried out by collecting relevant information on topics that are the object of research from books, scientific papers, theses, dissertations, and journals, while prototypes are the development stage before heading to actual large / scale production. The result that will be obtained is enough feeling to be an entertainer and a solution for everyone who is already at a point of hopelessness or who just wants to get answers to his anxiety so far, in order to increase life expectancy and strengthen mentally after counseling.
E-MARKETPLACE FOR SMEs IN TOURISM VILLAGES Intan oktaviani; Eko Purwanto; Indah Nofikasari
Proceeding of International Conference on Science, Health, And Technology Proceeding of the 3rd International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (385.146 KB) | DOI: 10.47701/icohetech.v3i1.2258

Abstract

The Ngargoyoso tourist attraction area is one of the popular tourist attractions in Karanganyar Regency, especially in Central Java. In this tourist area there are many small and medium enterprises (SMEs) that offer various products, especially original products from Ngargoyoso. The use of information technology to support the marketing and promotion of local products, namely the Electronic Marketplace which is made based on a website with marketing and sales features, is expected to increase income and improve the welfare of the local community. The problem faced by Small and Medium Enterprises in the Ngargoyoso Tourism Village area is that the sales model that is carried out is still conventional and the promotions carried out are still very limited, only limited to the surrounding area. Sometimes tourists who visit don't even know the location of the SMEs in the tourist village of Ngargoyoso. And also many tourists who don't know what products from SMEs and their locations are, considering that currently in the tourist village of Ngargoyoso there is no market or physical store to market souvenirs typical of the products of SMEs in the village of Ngargoyoso. This has resulted in several SME products that have not been exposed to the outside. Even though during the COVID-19 pandemic, such as the current number of tourists visiting the Ngargoyoso tourist village, of course this greatly affects the income value of SMEs in the Ngargoyoso tourist village. Thus, the application of the Electronic Marketplace with a Rule Based Expert System can be used as a promotional media and selling and buying with a wider reach.
DESIGN AND BUILD OF PULSE BALANCE DEPOSIT INFORMATION SYSTEM BASED ON WEBSITE AT PT ASIA ADIJAYA PERKASA Softi Ulin Nuha; Agustina Srirahayu; Eko Purwanto; Ajeng Putri Sulistyawati
Proceeding of International Conference on Science, Health, And Technology Proceeding of the 3rd International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (771.399 KB) | DOI: 10.47701/icohetech.v3i1.2272

Abstract

The credit balance deposit business is said to be still loved until now, the need for all-in-one online makes it inevitable that device users need to top up pulses, digital wallets, PLN or top up games. This makes transaction requests more and more causing many requests in the deposit process, with this problem the author wants to create a credit deposit information system. In this study, the method used by the researcher divides it into two, namely for the first method of data collection there are observations, interviews, literature studies, and documentation. The second is the system development method using the SDLC (Systems Development Life Cycle) method, there is a needs analysis using pieces analysis, where there are system workflows, use case diagrams, activity diagrams, Sequence diagrams and the last is testing using black box techniques and beta testing. The results of the recommendation system consist of three access rights, namely customer service, owner and member. The credit balance deposit information system can assist in the deposit process from transactions, data presentation and reporting. The results of the black box test show that all functions in the credit balance deposit information system can run as expected. The results of beta testing by filling out the questionnaire show the percentage value of the system suitability is 88.79%.
Sistem Informasi Prediksi Stok Sparepart Motor Menggunakkan Metode Single Moving Average Yusmawan Dwi Suseno; Eko Purwanto; Nurmalitasari Nurmalitasari
Bianglala Informatika Vol 11, No 1 (2023): Bianglala Informatika 2023
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/bi.v11i1.14126

Abstract

Usaha dagang adalah salah satu kegiatan penjualan dan pembelian barang atau jasa dengan tujuan untuk meraih keuntungan. Penjualan sparepart motor adalah jenis usaha yang menjual produk sparepart motor seperti kampas rem, busi, ban, shock, oli mesin dan sparepart kendaraan bermotor lainnya. Prediksi penjualan dibutukan dalam proses persediaan barang agar tidak terjadi kehabisan stok. Penelitian ini menggunakan data penjualan barang sparepart jenis Mpx 2 periode 2021 jangka waktu periode Juli – Desember. Proses prediksi dalam penelitian ini mengunakan metode perhitungan SMA (Single Moving Average). Perhitungan prediksi bulan Juli 2021 sampai Januari 2022 dihitung menggunakkan Rumus Single Moving Average didapatkan hasil 117,8333. Hasil perhitungan Mean Absolute Deviation (MAD) adalah 2.777773. Berdasarkan perhitungan pengukuran nilai akurasi menggunakkan metode MAPE (Mean Absolute Percentage Error) Hasil Nilai MAPE yaitu 2,45 maka sistem prediksi pada studi kasus menunjukkan hasil dengan kategori Sangat Baik karena nilai 2,45 termasuk kedalam klasifikasi Sangat Baik. Berdasarkan hasil pengujian pengguna menggunakan kuesioner yang terdiri atas pengujian dari sisi admin (15 responden) dengan nilai 96% dan pengujian pengguna dari sisi pemilik dengan nilai 100% maka dari itu sistem yang dibangun dapat dikatakan baik, mudah di pahami, dan sangat membantu kinerja proses prediksi stok barang di ARTHA MOTOR Karanganyar.Kata Kunci : Sistem, Informasi, Prediksi, Single, Moving, Average Trading business is one of the activities of selling and buying goods or services to make a profit. Sales of motorcycle spare parts is one type of trading business, a trading business engaged in the sale of motorcycle spare parts itself conducts buying and selling activities for spare parts to maintain motorcycles such as tires, brake linings, spark plugs, shocks, engine oil, and many more such as study sites. the case in this study, namely in ARTHA MOTOR Karanganyar ARTHA MOTOR is a trading business engaged in the sale of motorcycle spare parts owned by individuals. ARTHA MOTOR is a trading business that is progressing at this time, it can be seen from the amount of inventory available. Based on the results of interviews with the business owners, it was stated that there were many requests for spare parts, so ARTHA MOTOR tried to meet customer needs by completing the types of spare parts and increasing the stock of goods available at the store so that they were no longer out of stock. Utilization of information technology through the Information System can help the spare part prediction process by applying the SMA (Single Moving Average) calculation model, from the spare part sales data obtained from the calculation, ACF (Autocorrelation Function) & PACF (Partial Autocorrelation Function) no lag that cuts or outside the red interval line. Therefore, the data can be said to be stationary data and the calculation results from ACF & PACF obtained MAPE with length 6 of 2.4509.Keywords: System, Information, Prediction, Single, Moving, Average
ANALISIS CRITICAL SUCCESS FACTOR (CSF) UNTUK IMPLEMENTASI DIGITAL BISNIS Otami Amalina; Eko Purwanto; Hanifah Permatasari
Journal of Scientech Research and Development Vol 5 No 2 (2023): JSRD, December 2023
Publisher : Ikatan Dosen Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56670/jsrd.v5i2.167

Abstract

Penerapan digital bisnis sangat penting bagi kemajuan dan perkembangan perusahaan. Keberhasilan suatu perusahaan dalam perjalanannya menuju transformasi digital bisnis bergantung pada keberhasilan penerapan strategi bisnis tersebut. Sebagian besar keberhasilan bisnis ditentukan dengan mengidentifikasi dan memantau Critical Succes Factors (CSF). Penelitian ini memiliki tujuan yaitu: 1) Menganalisis implementasi Critical Succes Factors (CSF) pada digital bisnis, dan 2) Menganalisis dampak implementasi Critical Succes Factors (CSF) terhadap perkembangan digital bisnis. Desain penelitian yang digunakan yaitu penelitian deskriptif kualitatif dengan menggunakan metode literature review dengnan urut struktur tematik dari 15 artikel. Data yang digunakan dalam penelitian ini diperoleh dari berbagai hasil penelitian dan studi sebelumnya yang masih relevan dengan topik dan pembahasan yang ada dalam penelitian ini. Hasil yang diperoleh yaitu bahwa terdapat dimensi CSF diantaranya yaitu, sales and customer experience, organisasi perusahaan, culture and leadership, foresight and vision, operations, partners, data and IT (Information Technology), dan capabilities and HR competencies. CSF telah banyak diterapkan pada teknologi informasi, industri retail dan e-commerce, sektor keseatan, industri manufaktur, sektor layanan keuangan, dan industry pendidikan. Dampak dari implementasi CSF yaitu lebih berfokus pada tujuan strategis, penentuan prioritas, pengambilan keputusan yang lebih baik, peningkatan efisiensi dan efektivitas, daya saing yang lebih kuat, pengukuran kinerja yang jelass, peningkatan pengalaman pelanggan, menciptakan inovasi dan perubahan yang lebih mudah, meningkatkan kolaborasi dan komunikasi, serta menciptakan keberlanjutan dan pertumbuhan.
Co-Authors Abdullah Sajad Afu Ichsan Pradana Agus Mardiyono Agustina Srirahayu Ajeng Putri Sulistyawati Ali Muhdi Anggit Nurhidayah Ari Zusnan Fahrudin Atina, Vihi Bambang Prasetyo Bangun Pradjadi Cipto Utomo Bangun Prajadi Cipto Utomo Devi Pramita Sari Didik Nugroho Dwi Septieni Ema Sagita Desylawati Ery Permana Yudha Farahwahida Mohd Feny Ramadhani Feri Setiyono Fiqih Dwi Rifai Ilham Fahrul Pratama Indah Nofikasari Indra Hastuti Intan Oktaviani Kris Dayanti Marginingsih Marginingsih Maulindar, Joni Muhammad Ilham Pratama Norma Puspitasari Novita Widyasari Nurchim Nurchim Nurchim Nurchim Nurmalitasari Nurmalitasari Nurmalitasari Otami Amalina Permatasari, Hanifah Pipin Widyaningsih Ratna Puspita Indah Sabar Sularno Shandra Isti Kharisma Auliya Alamsyah Sigit Gunawan Singgih Purnomo Softi Ulin Nuha Sopingi Sri Ningrum Sukma Rahmawati Titin Listiani Velinda Febriana Wiji Lestari Wijiyanto Yusmawan Dwi Suseno