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PELATIHAN TSUNAMI READY DESA CIKAKAK YANG SIAP DAN SIAGA BENCANA Madrinovella, Iktri; Lubis, M. Husni Mubarak; Suhardja, Sandy Kurniawan; Zaky, Dicky Ahmad; Herawati, Ida; Pranowo, Waskito; Widyanti, Sari; Misbahudin, Misbahudin; Vikaliana, Resista; Mulyasari, Farah; Iskandar, Yelita Anggiane
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 4 No. 6 (2023): Volume 4 Nomor 6 Tahun 2023
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v4i6.23240

Abstract

Desa Cikakak di Sukabumi, Jawa Barat merupakan salah satu wilayah yang rawan gempa bumi dan tsunami. Untuk meminimalisir dampak bencana kepada masyarakat desa, dibutuhkan upaya pelatihan yang disebut IOWave23 agar mereka siap dan siaga jika terjadi kedaruratan. Pelatihan semacam ini perlu dilakukan secara berkala sebagaimana arahan Intergovernmental Oceanographic Commission (IOC), The United Nations Educational, Scientific and Cultural Organization) UNESCO. Terakhir diadakan 3 tahun lalu pada 2020 maka pelatihan harus disegerakan mengingat waktu ideal antar pelatihan adalah 2 tahun. Berkaca dari sejumlah bencana serupa di berbagai wilayah rawan di Indonesia maka kegiatan Pengabdian kepada Masyarakat (PkM) kali ini menjadi sangat penting karena memiliki tujuan utama memberikan pemahaman dan latihan langsung di lapangan terkait hal-hal yang harus dikuasai oleh masyarakat di wilayah rawan jika gempa bumi disertai tsuanmi melanda. Masyarakat terdampak perlu memahami hal-hal yang harus dilakukan saat terjadi bencana begitu juga setelahnya. Kegiatan utama pada PkM ini adalah drilling bencana beserta tindakan kesiapsiagaannya yang melibatkan ahli dan praktisi berpengalaman dari berbagai instansi seperti BMKG dan BPBD daerah. Target yang ingin dicapai dari program pelatihan ini peningkatan pengetahuan masyarakat Desa Cikakak mengenai kebencanaan gempa bumi dan tsunami, dan kesiapsiagaan menghadapinya.
ANALISIS PROSES PENGENDALIAN PERSEDIAAN DEGAN METODE ECONOMIC ORDER QUANTITY DI MDLY GOLD Vikaliana, Resista; Laora, Sekartadji
Journal MISSY (Management and Business Strategy) Vol 4 No 1 (2023)
Publisher : Program Studi Manajemen, Fakultas Ekonomi dan Bisnis, Universitas Wiraraja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24929/missy.v4i1.2347

Abstract

MDLY Gold is a small and medium business partner (MSME) engaged in the fashion sector that has been established since 2017. As of 2022, MDLY Gold successfully has 9 production and retail locations throughout the major islands of Indonesia with the main outlet located in Tanah Abang, Jakarta. Center. However, ordering MDLY Gold raw materials requires a lead time of 2 weeks. So this will affect the long production time so that it causes losses for MDLY Gold. Therefore, to maximize raw material inventory and reduce losses, we can analyze using the Economic Order Quantity method. Through solving the inventory control problem, the total Economic Order Quantity (EOQ) of raw material inventory for MDLY Gold production is 27,413.8 Yards during January to June. This EOQ aims to manage inventory that can optimize the total cost consisting of ordering costs and holding costs. Besides this, MDLY Gold must reorder when the stock reaches a reorder point of 17,668.4 Yards with additional supplies needed if there is no shortage of raw materials or safety stock of 10,112.24 Yards. Determination of ROP and SS is useful for MDLY Gold to be able to find out when is the best time to place an order besides there is an order lead time, so that raw materials will arrive on time and the production process will run smoothly without any problems in inventory control.
Analisis Perencanaan Produksi LPG Menggunakan Pendekatan Forecasting Vikaliana, Resista; Sutisna, Fazar
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 12 Issue 1 June 2024
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v12i1.25317

Abstract

Production planning in the oil and gas industry is a key element for operational efficiency and response to changes in market demand. This research focuses on smart and adaptive strategies through the application of two main approaches: forecasting. The purpose of this study is to determine the most suitable forecasting model from the five forecasting models (Simple Exponential Smoothing, Naive Method, Simple Moving Average, Weighted Moving Average, and Exponential Moving Average) to be used in LPG production and calculate the value of forecasting in the next five periods. Using LPG historical data from 2017 to September 2023.  Then the results are compared using forecasting error metrics such as MAPE and RMSE. It was concluded that the Simple Exponential Smoothing model showed a forecasting error value of 21.58% for MAPE and 72764.01 for RMSE. The Naive model has a forecast error value of 20.33% for MAPE and 78044.48 for RMSE. Meanwhile, the Simple Moving Average recorded a forecast error value of 20.28% for MAPE and 64449.76 for RMSE. On the other hand, the Weighted Moving Average shows a percentage error of 16.34% with an RMSE value of 48426.57. Finally, the Exponential Moving Average (EMA) shows an optimal level of accuracy, with a forecast error value of 16.01% for MAPE and 46046.42 for RMSE. Thus, from the five models evaluated, it can be concluded that the Exponential Moving Average (EMA) is the best model for forecasting LPG products, considering the lowest level of accuracy and percentage of forecasting errors. This study identifies the EMA as the best method in forecasting LPG production. The implication is a positive contribution to the accuracy of predictions and planning efficiency.
KEPEMIMPINAN TRANSFORMASI DIGITAL BISNIS DI PT JAMKRIDA JAKARTA: Digital Transformational Leadership Of Business In PT Jamkrida Jakarta Arifin, Antoni Ludfi; Vikaliana, Resista; Hermawan, Eric; Zarkasyi, Muhammad Ridlo
Anterior Jurnal Vol. 23 No. 2 (2024): Anterior Jurnal
Publisher : ​Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/anterior.v23i2.6983

Abstract

PT Jamkrida Jakarta saat ini sedang dalam fase pertumbuhan di industri penjaminan. Sebelumnya, perusahaan fokus membangun dan mempersiapkan infrastruktur sumber daya manusia dan bisnis dengan sistem operasinya. Namun peran digitalisasi tidak dapat dipungkiri dengan pesatnya perkembangan dunia usaha. Oleh karena itu, penelitian ini bertujuan untuk mengetahui peran kepemimpinan dalam transformasi bisnis digital PT Jamkrida Jakarta. Penelitian ini merupakan penelitian kualitatif dengan analisis isi Undang-Undang Nomor 1 Tahun 2016 tentang Penjaminan, POJK Nomor 2/POJK.05/2017 tentang Perizinan Berusaha dan Lembaga Penjaminan, POJK Nomor 3/POJK.05/2017 tentang Tata Kelola Lembaga Penjaminan, serta sebagai peran kepemimpinan dalam proses transformasi digital yang dilakukan perusahaan dalam penerapan regulasi terkait Teknologi Informasi (TI) dan digitalisasi. Hasil penelitian menunjukkan bahwa PT Jamkrida Jakarta telah melakukan transformasi bisnis digital mulai dari pembuatan penjaminan, finansial dan aplikasi digital pendukung lainnya. Lebih lanjut, peran kepemimpinan dalam transformasi bisnis menuju digital ditunjukkan dari penyusunan dan implementasi peta jalan pengembangan teknologi informasi PT Jamkrida Jakarta hingga tahun 2023.
Does Customer Loyalty Meet Repurchase and Purchase Intention? Hermawan, Eric; Vikaliana, Resista
INOVATOR Vol 12 No 2 (2023): SEPTEMBER
Publisher : prodima@fe.uika-bogor.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/inovator.v12i2.17626

Abstract

Consumer behavior in the current era of disruption varies greatly, to see this, of course, it is necessary to carry out further analysis and research on current consumer behavior. Indicators in looking at consumer behavior researchers take the variables of customer loyalty, repurchase, and purchase intention. The purpose of this paper is to examine the relationship between Customer Loyalty, Repurchase, and purchase intention. The researcher conducted a descriptive qualitative research method by obtaining data through the Google Scholar and Mendeley applications as references. The research results in this study are: 1) customer loyalty is related to consumer behavior, 2) repurchasing is related to consumer behavior, and 3) purchase intention is related to consumer behavior. This paper is still limited to studies on two scientific article databases (Google Scholar and Mendeley).
The Plan and Realization Evaluation of Supply Crude Oil Activities at PT Kilang Pertamina International - Refinery Unit VI Balongan Putri, Cheryl Suciyanti; Vikaliana, Resista
BERKALA SAINSTEK Vol 11 No 1 (2023)
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/bst.v11i1.37998

Abstract

PT Kilang Pertamina International - Refinery Unit VI Balongan is the sixth refinery out of seven refineries owned by PT Pertamina (Persero) that processes crude oil into BBM (Fuel Oil), Non-BBM and Petrochemical products in maintaining energy sustainability in Indonesia. Oil and gas management activities carried out by PT Pertamina must be able to run according to the target. For this reason, in carrying out its business processes, PT Pertamina requires good planning for crude oil. This study focuses on the type of Super Heavy (SH) crude oil including Duri, Cinta, Escalante, Ostra, etc., and Heavy (H) including Banyu Urip, GG Condensate, Minas/SLC, Cabinda, Etame, etc. The purpose of this study is to evaluate the discrepancy between plans and the realization of crude oil orders as well as forecasting for the next 12 periods of crude oil at PT KPI - RU VI Balongan. The results show that several forecasting methods match the demand data pattern, namely the cyclical method, cyclical trend, and multiplicative decomposition (seasonal) methods. In finding the error value forecasting is done by calculating the Mean Absolute Percentage Error (MAPE) method. The selected forecasting method that has the highest accuracy is the cyclical trend forecasting method with a MAPE value of 0.22 for heavy crude oil and 0.13 for super heavy crude oil. The cyclical trend forecasting method has succeeded in reducing the error in the crude supply accuracy level compared to the existing Master Program (MP) crude method.
ENHANCING MSME'S MARKETING PERFORMANCE THROUGH INNOVATION CAPABILITY MEDIATED BY TECHNOLOGY CAPABILITY AND VALUE-BASED SELLING Pantjologiningroem, Dewi Sri Woelandari; Vikaliana, Resista; Setyawati, Novita Wahyu
Islamic Economics, Finance, and Banking Review Vol. 1 No. 2 (2021): Desember
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/iefbr.v1i2.4756

Abstract

Introduction to The Problem: During the global Covid-19 pandemic, with social restrictions, digital marketing became a demand.  Plenty of MSMEs are unable to adapt to digital marketing quickly. It depends on innovation capabilities and technology capabilities of MSMEs, as well as an understanding of value-based selling.Purpose: This study examines whether innovation capabilities are able to improve MSME marketing performance mediated by technology capabilities and value-based selling.Methodology: A quantitative approach is used in this research with Structural Equation Modeling (SEM) modeling.  The questionnaire was distributed to 39 samples of MSMEs in Java, with purposive sampling..Findings: SEM model testing shows that innovation capabilities have a positive and significant effect on improving the marketing performance of MSMEs, both directly and indirectly. Both technology capabilities and value-based selling are able to mediate the capacity for innovation to improve the marketing performance of MSMEs.   Paper Type: Research Article
ANALISIS KETERLAMBATAN PENGIRIMAN PRODUK JADI DI PT TSUCHIYOSHI PROCORE INDONESIA Vikaliana, Resista; Arizqi, Reza Miftah Nur
Jurnal Intent: Jurnal Industri dan Teknologi Terpadu Vol 6 No 2 (2023): INDUSTRIAL
Publisher : Prodi Teknik Industri, Fakultas Teknik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/intent.v6i2.2891

Abstract

Transportation and distribution management is a process of distributing goods by an institution to manage the distribution process in fulfilling customer needs systematically. The goal of this research is to find out what factors that might delay the shipment and to analyze the improvement steps and the shipment process in PT Tsuchiyoshi Procore Indonesia in order to help the company to decide what to do. The research method that the author uses is qualitative descriptive, by conducting interviews with informants, documentation and utilization of fishbone diagrams and pareto principles. The author succeeded in concluding the cause of the delay in the shipment process are running out of stock and low production, mostly were caused by the quality of manpower that needed to be improved and the placement of finished products in the warehouse currently did not have an appropriate method.
ANALISIS RISIKO DALAM PROSES PENGADAAN BARANG DI PERUSAHAAN PERMINYAKAN INDONESIA MENGGUNAKAN PENDEKATAN HOUSE OF RISK Vikaliana, Resista; Nazla, Aisah
Jurnal Intent: Jurnal Industri dan Teknologi Terpadu Vol 7 No 1 (2024): INDUSTRIAL
Publisher : Prodi Teknik Industri, Fakultas Teknik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/intent.v7i1.3372

Abstract

This study analyzes the risks in the procurement process at ORC using the House of Risk approach. The methodology used in this study includes: identification of various risks related to the procurement process, measurement of the probability of risks, and the impact of designing an effective risk mitigation strategy. Risk identification is carried out through observations, interviews, questionnaires, and literature studies related to practical work topics. The results of the phase 1 HOR analysis identified the five best risk mitigation strategies, namely: clearly informing the requirements and format of the bidding documents they must prepare and providing an easily accessible and understandable written guide on the procurement procedure (PA1), ensuring that the selection criteria for each aspect (administrative, technical, HSSE Plan, and commercial) have been clearly and objectively established before the selection process begins (PA5), ensure the HPS/OE covers all relevant costs, including direct and indirect costs, as well as reasonable profit margins (PA4), ensure the definitive officer has allocated authority or delegation of duties to staff or other officials who may temporarily replace them (PA2), conduct a thorough assessment of the availability of local supplies necessary to meet the TKDN value (PA3). This study provides recommendations to implement identified mitigation strategies and regular monitoring for improved risk control. The results of this study contribute to the development of procurement risk management in ORC and become a reference for decision-making in risk mitigation at the procurement stage.
Forecast Analysis of Fruit Supply Using Time-Series Method: A Study at PT Aerofood Indonesia Nasution, Baginda Muhammad; Vikaliana, Resista
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 3 No 1 (2024): Journal of Emerging Supply Chain, Clean Energy and Process Engineering
Publisher : Universitas Pertamina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57102/jescee.v3i1.79

Abstract

PT Aerofood Indonesia is an entity operating in the aviation logistics industry, specifically as a partner of the Garuda Indonesia airline.  The main problem faced is the tendency to have excessive supplies of raw materials, especially in the aspect of purchasing fruit because it is susceptible to damage. This phenomenon often recurs and peaks beyond dry goods capacity limits, especially the availability of papaya fruit which often exceeds capacity by more than 50%. Therefore, this research aims to identify the optimal forecasting method for papaya fruit to overcome the problem of excessive stock. In this research, four forecasting approaches were tested, namely Trend Analysis, Single Average Exponential, Double Average Exponential, and Holt's Winter Method. Forecasting calculations were carried out using a manual approach and supported by Minitab 18 software. The research results showed that the Holt's Winter method with a multiplicative approach produced the lowest Mean Absolute Percentage Error (MAPE), namely 16%.  The Holt's Winter method with a multiplicative approach has proven to be effective in producing accurate forecasts. By implementing this recommended forecasting method, it is hoped that companies can be more efficient in managing inventory and reduce the impact of losses due to excess stock.
Co-Authors A. H. Rahadian Aat Ruchiat Nugraha Abdul Bari Abid, Rasyid Ade Irawan Adila Rahmawaty Adji Sapta Agus Cholik Agus Firmansyah, Radiyan Ahmad Soleh Ahmad Soleh Ainul Dian Lestari Alya Jovanka Rial, Yesa Andayani, Endro Anggiane Iskandar, Yelita Antoni Ludfi Arifin Arie Pratama, Fidya Arifin, Antoni Ludfi Arifin, Martin Marcelino Arizqi, Reza Miftah Nur Arman Syah Putra Asif, St Nurauliyah Nasri Asti Andayani Awanis, Anggita Bachtiar, Alfan Barandika, Barandika Barges, Zetira Br Barus, Eva RosaLinda Buana, Arga Cahyaningati, Khalisya Lintang Cundo Harimurti Damayanti, Putri Pingkan Dewi, Maya Puspita Dharmapatni, Made Ranjani Dicky Ahmad Zaky Didi Slamet Riyadi Dwi Agustina Dwi Prasetyo, Wegik Efita, Wetri Efrita Norman Eka Puspitasari, Eka Eric Hermawan Evita, Yuli Fazabahy, Ramzy Aqilla Fazira, Ira Febryan, Rio Feviasari , Heni Fihan, Joan Mesiah Fika Aryani Fino Wahyudi Abdul Furqan, Muhammad Alif Gita Putri Ramanda Guntara, Prasatya Hamidi Sjurahudin Hawari, Farisan Hendra Kasman, Hendra Hidayat, Yusup Rachmat Hutasoit, Marco Ferdinand Montoya I Nyoman Pujawan I Nyoman Purnaya I Nyoman Purnaya Ida Herawati Ikhlas , Muhammad Fajar Iktri Madrinovella Intan Oktafiani Irwansyah IRWANSYAH Irwansyah - Irwansyah Irwansyah Irwansyah Irwansyah Iskandar, Yelita Anggiane Ita Musfirowati Hanika Jedi Akeyla, Jermal Khairunnisa, Nazihah Komala, Aziza Leila Kurnia, Gita Kurniawan, Adji Candra Kuswanto Kuswanto Kuswanto Kuswanto La Ode Sabaruddin Lantana, Muhammad Gesha Laora, Sekartadji Layman, Pauline Nancy Desline Liperda, Rahmat Inca Marelda Nugraha, Charissa Mary Ismowati Medali Rachman , Rinaldi Melani, Windy Misbahudin Misbahudin Muhammad Lubis Muhammad Nur Ahadi Muhyi, Lana Salsabila Mulyasari, Farah Nasution, Baginda Muhammad Nazla, Aisah Ningrum, Endah Prawesti Novita Wahyu Setyawati Nugraha, Ilham Faqih Nursabila, Nursabila Nurul Aisyah Nurzalinar Joesah Ompusunggu, Ester Claudia Paramansyah, Arman Passasung, Octaviano Rosario Prasetiyani, Erni Pratama, Fikih Urdi Priyatna, Thalita Assyifa Dwi Puspitawati , Eka Putra, Rifki Rizki Putri, Cheryl Suciyanti Putri, Claudia Artika Qamarani, Awanis Shabrina R. Swasono Amoeng Widodo Ragil, Eko Rahma, Dewinka Azelia Rahmadani Zahra , Carissa Rahman , Ari Raja Mohd Rasi, Raja Zuraidah Raja Zuraidah Raja Mohd Rasi Ramadhan, Ferdinan Ramadhan, Muhammad Raihan Ramandy, Johan Almer Raza, Erwin Riyadi, Didi Slamet Rumalutur, Yizri Ievana Febrianty Ruswandi , Nanda Safri Nurmantu Sahbandar, Aulia Idharizqi Widayani Sandy Kurniawan Suhardja Saputra, Munir Sembiring, Ellease Davira Christy Septiana , Winda Shafira, Asyifa Hana Siadari, Madhe Putra SITI MARIAM Situmeang, Echa Ratu Prety Claudia Sriyani Sriyani Sukarno , Iwan Sukarno, Iwan Sumidartini, Ai Neti Susan Rachmawati Sutandi, Sutandi Sutisna, Fazar Syamtar, Ilham Ayatullah Tansy, Argya Fauziah Taufan Maulamin Taufan Maulamin Ulmaghfiroh, Nisa Usiawan, Daniel Wibowo Varlina, Vivi Wahyuddin Latunreng Wahyuddin Latunreng Waskito Pranowo Widyanti, Sari Windreis, Christ Woelandari Pantjolo Giningroem, Dewi Sri Woelandari, Dewi Sri Yordan, Vainzela Dwi Amanda Yuli Evitha Yusuf Romadhon Zakia Zakia Zarkasyi, Muhammad Ridlo Zein, Ghalda Ghaliyah