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All Journal JURNAL PASTI (PENELITIAN DAN APLIKASI SISTEM DAN TEKNIK INDUSTRI) Scientific Journal of Informatics Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF INDUSTRIAL AND MANUFACTURE ENGINEERING JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan Jurnal Pengabdian Masyarakat (ABDIRA) Go-Integratif : Jurnal Teknik Sistem dan Industri Jurnal Puan Indonesia Bhara Petro Energi JT-IBSI (Jurnal Teknik Ibnu Sina) Jurnal Tiyasadarma: Jurnal Pengabdian Kepada Masyarakat
Rafi Dio
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Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Nursing Public Health Social Sciences Transportation Other

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Pemodelan Sistem Antrian Klinik Kesehatan XYZ pada Dokter Spesialis dengan menggunakan Flexsim Riski Arifin; Rafi Dio
JURNAL BHARA PETRO ENERGI Vol 1 No 3: December 2022
Publisher : Department of Petroleum Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/bpe.v1i3.1732

Abstract

Pelayanan kesehatan merupakan hal yang harus diperhatikan dengan meminimalisir terjadinya waktu antrian dan memberikan pelayanan yang maksimal. Klinik kesehatan XYZ memberikan pelayanan dokter spesialis dan apotek kepada masyarakat dengan pelayanan. Terdapat 4 aktivitas utama dalam klinik kesehatan XYZ yaitu pendaftaran, pelayanan dokter, pelayanan apotek dan pembayaran. Penelitian ini melakukan simulasi sistem antrian dengan menggunakan flexsim untuk melihat berapa jumlah antrian dan waktu menunggu antrian. Hasil yang diraih menunjukkan bahwa persentase idle terendah pada pelayanan dokter sebesar 8.2% serta persentase processing bekerja terbesar sebesar 91.8%. Kemudian untuk antrian sebanyak 3 orang dan membutuhkan waktu menunggu 19.5 menit dalam menunggu pelayanan dokter serta jumlah pasien yang ditangani sebanyak 13-15 orang. Penambahan skenario dengan menambahkan seorang dokter baru dengan melakukan uji perbandingan tidak memberikan perbedaan jumlah pasien yang ditangani. Reference:  Bataona, B.L. V, Nyoko, A.E.L. And Nursiani, N.P., 2020. Analisis Sistem Antrian Dalam Optimalisasi Layanan Di Supermarket Hyperstore. Journal Of Management : Small And Medium Enterprises (Smes), 12(2), Pp.225–237. Https://Doi.Org/10.35508/Jom.V12i2.2695. Heizer, J. And Render, B., 2005. Operations Management. Jakarta: Salemba Empat. Iqbal, M., 2011. Analisis Kinerja Sistem Pendekatan Teori Dan Praktek. Depok: Gunadarma. Kusuma, D., Anggarini, D., Alfaiz, F., Industri, J.T. And Industri, F.T., 2020. Pemodelan Dan Simulasi Sistem Antrian Pusat Kesehatan Masyarakat Di Salah Satu Kabupaten Sleman Menggunakan Software Flexsim. Seminar Nasional Ienaco, Pp.324–330. Nurdiansyah, R., Dio, R., Salaksa, B. And Arifin, R., 2018. Analisis Dan Evaluasi Performansi Umkm Afira Tailor Dengan Metode Discrete Event System Simulation. Seminar Nasional Ienaco, Pp.516–522. Nurhasanah, N., Nurlina, S. And Nugroho, T., 2017. Simulasi Flexsim Untuk Optimasi Sistem Antrian Poli Umum Rawat Jalan Rumah Sakit X. Jurnal Ilmiah Teknik Industri, 3(2), Pp.69–75. Https://Doi.Org/10.24912/Jitiuntar.V3i2.497. Wati, R., 2017. Sistem Antrian Pelayanan Pasien Pada Puskesmas Kelurahan Setiabudi Jakarta Selatan Dengan Menggunakan Waiting Line. Jurnal Techno Nusa Mandiri, 14(2), Pp.15–20.
Optimalisasi Jumlah Permintaan dan Produksi CV. XYZ Menggunakan Software Simulasi Flexsim Rafi Dio; Aulia Agung Dermawan; Dimas Akmarul Putera
JOURNAL OF INDUSTRIAL AND MANUFACTURE ENGINEERING Vol. 7 No. 1 (2023): EDISI MEI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jime.v7i1.9398

Abstract

CV. XYZ merupakan sebuah perusahaan manufaktur yang bergerak pada bidang produksi sarung tangan dan tekstil. Adanya kesenjangan antara permintaan dengan jumlah produksi dimana yang menjadi tujuan pada penelitian ini adalah mengoptimalkan jumlah produksi sarung tangan, penelitian ini menggunakan Perangkat Lunak Flexsim sebagai perangkat lunak Simulasi Peristiwa Diskrit Untuk memodelkan lini produksi. Berdasarkan hasil analisis yang di peroleh beserta Batasan scenario yakni maksimal penambahan pekerja sebanyak 3 orang, maka diusulkan sebuah scenario perbaikan dimana perusahaan menambah masing masing 1 pekerja pada proses Jahit Variasi Badan-2, Jahit Sambung Jari-jari dan Jahit Lipat.
Analisis Data Mining Pembelian dengan Association Rule Market Basket Analysis menggunakan algoritma FP-Growth Rafi Dio; Juliza Hidayati; Riski Arifin; Dimas Akmarul Putera; Aulia Agung Dermawan
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol 17, No 2 (2023): Jurnal PASTI : IN PRESS
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pasti.2023.v17i2.005

Abstract

Pertumbuhan ekonomi di Indonesia menunjukkan kenaikkan dari tahun ke tahun. Salah satu bentuk dari peningkatan pertumbuhan ekonomi di Indonesia adalah dengan meningkatnya daya beli masyarakat. Kenaikan daya beli masyarakat berbanding lurus dengan meningkatnya kehadiran retail di Indonesia. Menghadapi persaingan yang dilakukan dari setiap retail berlomba-lomba untuk melakukan penjualan barang yang sering dibeli oleh masyarakat. Untuk mengetahui data historis ada retail dilakukan dengan AR-MBA untuk memodelkan hubungan produk yang dibeli secara bersamaan. Sehingga tujuan penelitian ini yaitu melihat pembelian antar produk pada suatu retail dengan AR-MBA menggunakan FP-Growth. Penelitian ini menggunakan 450 data dari hasil transaksi pada suatu retail. Hasil penelitian yang didapatkan adalah terdapat 8 associatioan rule terbentuk dengan nilai lift rasio > 1 serta tingkat kepercayaan minimal 30% dari setiap hubungan terbentuk. Berdasarkan 8 rule selanjutnya dilakukan perancangan layout usulan untuk meningkatkan efiseiensi pelanggan saat berbelanja.
Design of an Arduino Mega-Based Walking Cane Assistive Device to Improve the Quality of Life for the Elderly in the Riau Islands Province Dimas Akmarul Putera; Aulia Agung Dermawan; Dwi Ely Kurniawan; Alvendo Wahyu Aranski; Rafi Dio
Scientific Journal of Informatics Vol 10, No 4 (2023): November 2023
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v10i4.47793

Abstract

Purpose: The number of people aged 60 or older is expected to increase globally by nearly three times from 737 million in 2009 to 2 million by 2050. Indonesia's population is projected to reach 28 million by 2045, making up nearly one-third of the total population. In 2020, the population aged 60 or older reached 29.52 million, with 29.52 million from the last two houses being occupied by a house due to numerous housing programs that require a close relationship between people. The study suggests that a house with a strong sense of belonging is a risky group required attention. The study uses a smartphone with a 180° panorama camera and GPS to help locating the house and performing its activities.Methods: Anthropometry can be defined as the study of body dimensions, namely body size, shape, strength and work capacity for the purpose of body design and composition and prototyping. Results: This research has resulted in elderly sticks that use sensors to help elderly mobility. This stick can detect the environment nearby the ESP32-Cam with the password "/Capture_photo" and is able to send information about the location of the elderly by sending a message to the GSM Number connected to the Arduino Mega with the password "Hello" and the device will send a message containing the location of the elderly.Novelty: Based on previous research reviewed by researchers, it was found that similar research using Camera and GPS Technology to Improve the Quality of Life of the Elderly has not been carried out in the Riau Islands of Batam.
Pemodelan Sistem Antrian Klinik Kesehatan XYZ pada Dokter Spesialis dengan menggunakan Flexsim Riski Arifin; Rafi Dio
Jurnal Bhara Petro Energi Vol.1 No.2 (November 2022)
Publisher : Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/epcz9e35

Abstract

Health services are things that must be considered by minimizing the occurrence of queuing time and providing maximum service. XYZ health clinic provides specialist doctors and pharmacies to community services. There are four main activities in the XYZ health clinic, namely registration, doctor services, pharmacy services and payments. This study simulated a queuing system using flexsim to see how many queues there were and the waiting time. The results showed that the lowest idle percentage was in doctor's services at 8.2%, and the highest percentage of working processing was 91.8%. Then for a queue of 3 people and a waiting time of 19.5 minutes waiting for a doctor's service and the number of patients handled is 13-15 people. Adding a scenario by adding a new doctor by conducting a comparative test does not make a difference in the number of patients treated.
Application of Market Basket Analysis on Beauty Clinic to Increasing Customer’s Buying Decision Dio, Rafi; Dermawan, Aulia Agung; Putera, Dimas Akmarul
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 3 (2023): Article Research Volume 7 Issue 3, July 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i3.12421

Abstract

Beauty care and the need for cosmetics have become the lifestyle of modern women, especially in big cities. Public awareness to look beautiful makes modern women competing to take care of themselves to be more beautiful. The body care industry in Indonesia continues to grow. The growth has reached 6% and is predicted to continue to grow along with the high concern of Indonesian women in caring for their skin. To win the competition, companies need to know the market and consumer situation. One strategy that can be applied by the company is to use a promotional or advertising strategy. This research was conducted at the Ariana Audy beauty clinic in 2022 with the aim of identifying customer buying patterns which will then be used as reference material in the development of promotional menus for products and services offered by the beauty clinic. The approach used to design components on the promotional menu is Market Basket Analysis by applying the fp-growth algorithm using rapid miner software. Market basket analysis is focused on finding relationships between products based on customer purchases. The market basket analysis conducted resulted in 5 association rules that define consumer purchasing patterns for products and services provided by the Ariana Audy clinic. Through the 5 association rules formed, 3 promotional menus were produced, namely menu 1 consisting of baby skin crystal and oxy blue cream, menu 2 consisting of brightening cream products and sunscreen brightening, and menu 3 consisting of oxy jet peel and photodynamic therapy.
Penerapan Algoritma Evolutionary dan Nearest Neighbor untuk Optimasi Rute Distribusi Utami, Rika Sri; Arifin, Riski; Lufika, Raihan Dara; Dio, Rafi; Manihuruk, Hendrik Vicarlo Saragih
Go-Integratif : Jurnal Teknik Sistem dan Industri Vol 5 No 02 (2024): Go-Integratif : Jurnal Teknik Sistem dan Industri
Publisher : Engineering Faculty at Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35261/gijtsi.v5i02.12518

Abstract

The distribution route is a common issue faced by companies. Companies need to distribute goods to optimize delivery and operational shipping costs. Company XYZ distributes goods to 9 retailers. The problem encountered is that delivery relies only on the intuition of the delivery operators, which is considered suboptimal. Therefore, finding the shortest distribution distance is necessary, one of which can be done using an evolutionary algorithm. An evolutionary algorithm is a population-based stochastic search used to find optimal solutions to a problem. Additionally, distributing goods using the nearest neighbor method determines the route based on the shortest distance between retailers. Thus, the purpose of this study is to find the shortest distribution distance for goods delivered to 9 retailers using an evolutionary algorithm and the nearest neighbor method. The results show that using the evolutionary algorithm, the minimum total distance is 54.5 kilometers, with the route being warehouse-2-1-5-9-4-6-7-3-8-warehouse, while using the nearest neighbor method yields a distance of 55 kilometers, resulting in a difference of 0.5 kilometers.
Peningkatan Literasi Teknologi melalui Sosialisasi Augmented Reality sebagai Media Pembelajaran Interaktif di SD Swasta Bintan Tanjungpinang Kota Yos Ekaristi Manik, Agustina Sartika; Rada, Dwi Cahya; Fahmitra, Novrizal Fattah; Yusiani, Dwila Sempi; Dio, Rafi
Jurnal Pengabdian Masyarakat (ABDIRA) Vol 5, No 3 (2025): Abdira, Juli
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdira.v5i3.851

Abstract

The development of digital technology has had a significant impact on the world of education, particularly in creating more interactive and immersive learning media. One technology that has great potential in supporting the teaching and learning process is Augmented Reality (AR). This Community Service activity is carried out by the Faculty of Engineering and Maritime Technology (FTTK) of Raja Ali Haji Maritime University (UMRAH) at Bintan Private Elementary School in Tanjungpinang City, with the aim of introducing the concept and utilization of AR technology as interactive learning media to teachers and students. The activities include socialization, demonstrations of AR use, as well as discussion and evaluation sessions. The results of the activities show high enthusiasm from the participants, as well as an increased understanding of the use of AR in the context of learning, particularly in the field of shipping that requires the visualization of technical objects. Although there are limitations in infrastructure, this activity successfully encouraged initial initiatives in the integration of innovative technology in the school environment. This event also serves as a means to strengthen the role of UMRAH in supporting the development of local education based on technology
Scenario-Based Association Rule Mining in Veterinary Services Using FP-Growth: Differentiating Clinical and Customer-Driven Patterns Rafi Dio; Aulia Agung Dermawan; Dwila Sempi Yusiani; Rifaldi Herikson; Andikha, Andikha; Dwi Ely Kurniawan; Adyk Marga Raharja
Journal of Applied Informatics and Computing Vol. 9 No. 3 (2025): June 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i3.9698

Abstract

Veterinary clinics routinely generate transactional data that contain valuable information about both operational workflows and customer preferences. This study aims to differentiate between procedural and customer-driven service patterns by applying the FP-Growth association rule mining algorithm to 1,000 anonymized transactions comprising 94 unique items, collected from a veterinary clinic in West Java, Indonesia, during 2023. Two distinct analytical scenarios were constructed: Scenario 1 includes all services (procedural and customer-driven), while Scenario 2 excludes procedural items such as “Vet” and “Visit Dokter” to focus solely on client-initiated behaviors. Data preprocessing involved aggregating transaction items into a market basket format suitable for frequent pattern mining. The FP-Growth algorithm was employed to extract association rules, evaluated using support, confidence, and lift metrics. Results from Scenario 1 revealed rule patterns reflective of standard clinical protocols and operational dependencies, informing bundled service packages and inventory management. In contrast, Scenario 2 uncovered customer-driven associations, highlighting opportunities for personalized promotions and service innovation. The comparative analysis demonstrates the utility of scenario-based association rule mining for both operational optimization and customer engagement. While the findings provide actionable insights for clinic management, further validation with practitioners and implementation in multi-clinic settings are recommended to confirm real-world applicability and enhance generalizability.
Segmentasi Pelanggan Klinik Dokter Hewan Berbasis Algoritma K-Means dan Model RFM Rafi Dio; Meylia Vivi Putri; Dwila Sempi Yusiani; Andikha; Berta Erwin SLAM; Adyk Marga Raharja; Rifaldi Herikson
Jurnal Teknik Ibnu Sina (JT-IBSI) Vol. 10 No. 1 (2025): JT-IBSI (Jurnal Teknik Ibnu Sina)
Publisher : Fakultas Teknik Universitas Ibnu Sina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36352/jt-ibsi.v10i1.1180

Abstract

This study aims to segment customers of a veterinary clinic using a combination of Recency, Frequency, Monetary (RFM) analysis and the K-Means clustering algorithm. Transactional data from December 2024 to April 2025 were processed to generate key customer features, followed by min-max normalization to ensure comparability across variables. The segmentation was conducted in AI Studio 2025, with cluster quality evaluated using cluster distance performance and Davies-Bouldin Index. The analysis resulted in four distinct customer segments: the majority were passive customers with low transaction frequency and spending, while a smaller group showed high purchasing activity and made a significant economic contribution. This study demonstrates the effectiveness of automated data mining tools in uncovering meaningful customer profiles in a veterinary service context. The results provide a practical basis for targeted marketing, customer retention strategies, and service improvement in veterinary clinics. This approach offers valuable insights for data-driven decision making and represents a novelty for veterinary service management in Indonesia. Keywords: Customer Segmentation, RFM Analysis, K-Means Clustering, Veterinary Clinic, Data Mining.
Co-Authors Alvendo Wahyu Aranski Andikha Andikha, Andikha Apriansyah, Firman Arifin, Riski Aulia Agung Dermawan Aulia Agung Dermawan Aziis, Fauziah An Nisadiena Dimas Akmarul Putera Dwi Ely Kurniawan Dwi Ely Kurniawan Dwila Sempi Yusiani Epodius, Gabriel Alexander Hekso Yunianto, Anton Hoki Apriyenson Juliza Hidayati Lufika, Raihan Dara Manihuruk, Hendrik Vicarlo Saragih Manik, Agustina Sartika Yos Ekaristi Manurung, Reyaldi Panorangan Marga Raharja, Adyk Meylia Vivi Putri muhammad rizky, muhammad Muhd Ridho Baihaque Nadeak, Yohanes E Novrizal Fattah Fahmitra Nurhadi Nurul Ilmi, Nurul Octa DRG, Dinda Pane, Glenn Oriona Pasaribu, Tinawati Br Putri, Meylia Vivi Rada, Dwi Cahya Rifaldi Herikson Riski Arifin Riski Arifin Septiana, Reski SLAM, Berta Erwin Tampubolon, Angel Debora Utami, Rika Sri Vivi , Putri Meylia Widari N, Nadia Yos Ekaristi Manik, Agustina Sartika