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All Journal JAIS (Journal of Applied Intelligent System) INVENTORY : Industrial Vocational E-Journal On Agroindustry Jurnal Pustaka Mitra : Pusat Akses Kajian Mengabdi Terhadap Masyarakat Serambi Engineering
Firdhani Faujiyah
Politeknik APP Jakarta
Control & Systems Engineering Earth & Planetary Sciences Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Public Health Social Sciences Other

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A Good Relative Percentage Increase (RPI) of Variant Job Scheduling Using Artificial Bee Colony (ABC) Riri Damayanti Apnena; Firdhani Faujiyah
Journal of Applied Intelligent System Vol 7, No 1 (2022): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v7i1.5989

Abstract

Artificial Bee Colony (ABC) which is a development of the intelligent swarm model and is a branch of artificial intelligence based on self-organization systems. Artificial Bee Colony (ABC) is an intelligent algorithm that is inspired by the food search process carried out by bees. This is like what is done when there are many jobs that need to find the optimal value, where each job to be processed has a specific route of operations to be performed on a set of machines, and a different flow shop and variant: all jobs follow the same machine sequences. We will focus on the latter. In this study, ABC is implemented to optimize work scheduling, in this case 7 different variations are used with mxn values between 10x3 to 40x15 on 10 to 40 jobs. To evaluate the results, the Relative Percentage Increase (RPI) has been used in the test with an achievement range between 1.9 to 18.9.
Digitalisasi Pemasaran dalam Upaya Peningkatan Penjualan Produk Usaha Mikro Kecil Menengah (UMKM) di Wilayah Jakarta Selatan Trisna Yuniarti; Firdhani Faujiyah; Muhammad Alde Rizal; Fajar Ciputra Daeng Bani
Jurnal Pustaka Mitra (Pusat Akses Kajian Mengabdi Terhadap Masyarakat) Vol 2 No 2 (2022): Jurnal Pustaka Mitra (Pusat Akses Kajian Mengabdi Terhadap Masyarakat)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakamitra.v2i2.202

Abstract

Digitalisasi pemasaran merupakan salah satu alternatif solusi dalam membantu memulihkan keterpurukan pelaku Usaha Mikro Kecil dan Menengah (UMKM) di masa pandemi Covid-19. Keterbatasan kompetensi dan jumlah Sumber Daya Manusia (SDM) pada UMKM sendiri merupakan tantangan yang cukup besar dalam penerapannya. Sehingga, kegiatan pengabdian ini difokuskan untuk memberikan pemahaman, keterampilan dan pendampingan terkait kompetensi pemasaran digital kepada UMKM dalam upaya meningkatkan penjualan dan brand awareness. Kegiatan dilaksanakan selama lima bulan dan terlaksana dengan baik, dimana dihasilkan minimal 3 platform media pemasaran digital untuk setiap UMKM, yaitu google bisnisku, instagram bisnis, dan whatsapp bisnis. Manfaat dari kegiatan ini dapat dirasakan oleh UMKM sehingga dapat mengembalikan siklus penjualan mereka menjadi lebih baik dan juga meningkatkan brand awareness masyarakat terkait produk mereka karena akan menjadi lebih mudah untuk di akses.
Penerapan Media Digital Pada Usaha Mikro Kecil dan Menengah (UMKM) Bidang Kuliner di Area Jakarta Selatan Firdhani Faujiyah; Trisna Yuniarti; Muhammad Alde Rizal; Fajar Ciputra Daeng Bani
Jurnal Pustaka Mitra (Pusat Akses Kajian Mengabdi Terhadap Masyarakat) Vol 3 No 3 (2023): Jurnal Pustaka Mitra (Pusat Akses Kajian Mengabdi Terhadap Masyarakat)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakamitra.v3i3.507

Abstract

Pasca Pandemi Covid-19 mendorong sektor industri yang salah satunya adalah sektor UMKM, untuk kembali bangkit dan pulih. Oleh karena itu perkembangan transformasi digital saat ini diharapkan dapat membantu memulihkan kondisi UMKM yang berada disektar. Berbagai macam media dan aplikasi digital banyak bermunculan dalam segala bidang keilmuan, dan dapat dimanfaatkan dalam rangka meningkatkan keterampilan para pelaku UMKM. Melalui pelaksanaan kegiatan pengabdian masyarakat, UMKM didampingi dan dibimbing untuk dapat memahami dan mengaplikasikan keterampilan digital pada keseharian mereka, guna memulihkan dan meningkatkan kembali usaha mereka. Empat UMKM dibidang kuliner terpilih untuk diberikan bimbingan serta pendampingan selama lima bulan, dengan fokus penerapan aplikasi dan media digital dalam upaya pemulihan dan pengembangan usaha. Penerimaan dari UMKM binaan sangat baik dan antusias, sedikit banyak hasil dari pemdampingan dirasakan hingga beberapa diantaranya mengalami kenaikan omzet penjualan. Sehingga dapat dinyatakan, bahwa kegiatan pendampingan dengan penerapan media digital dirasakan cukup efektif dalam membantu memulihkan kondisi UMKM pasca pandemic Covid-19.
Analisis Proses Operasional Air Freight Pada Perusahaan Freight Forwarder Menggunakan Value Stream Mapping Fajar Ciputra Daeng Bani; Muhammad Alde Rizal; Firdhani Faujiyah; Trisna Yuniarti
INVENTORY: Industrial Vocational E-Journal On Agroindustry Vol 4, No 1 (2023): Published in June 2023
Publisher : Politeknik ATI Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52759/inventory.v4i1.103

Abstract

This study aims to provide an overview of the concept of Value Stream Mapping and its significance in process improvement. It highlights the key steps involved in creating a VSM and emphasizes its role in identifying and addressing various types of waste, such as waiting time, unnecessary movement, and rework. By mapping the current state of a process, organizations gain insights into its inefficiencies and areas for improvement. Furthermore, the importance of developing a future state Value Stream Map that outlines the desired state of the process after implementing improvements. It emphasizes the need for continuous monitoring and evaluation to ensure sustained progress and ongoing optimization. Overall, Value Stream Mapping offers organizations a systematic approach to analyze, optimize, and enhance their processes. By visualizing the value flow and identifying opportunities for improvement, businesses can achieve higher levels of efficiency, reduced costs, improved quality, and ultimately deliver greater value to their customers. The calculation and analysis explained that the total processing time was 105.8 minutes and the total lead time was 47 minutes resulting in a non-value added (NVA) of 34 minutes. If the converted into a process percentage form, it is 32% of the total time spent on operational air freight.
Pendekatan Text Mining dalam Menilai Sentimen Publik pada Baterai Kendaraan Listrik Trisna Yuniarti; Juli Astuti; Firdhani Faujiyah; M. Zaiyar
Jurnal Serambi Engineering Vol. 9 No. 4 (2024): Oktober 2024
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The use of technology and information in the Industry 4.0 era has been widely used to extract information from textual data patterns. The development of technology and the availability of big data from various platforms can provide valuable insights and facilitate better decision making. In this study, we aim to extract information and obtain the main topics of public sentiment on electric vehicle batteries. The data source is obtained from the results of comments or tweets on X social media. A total of 1,302 texts were processed using text mining techniques in the orange data mining application. This technique consists of several stages of text processing, namely transformation, filtering and tokenisation. The results of the text processing are extracted by word cloud to find the characteristics of words that are often discussed by the community. Next, sentiment analysis is performed to find out people's opinions about electric vehicle batteries based on positive, negative and neutral categories. Finally, topic modelling is performed using LDA to identify the topics discussed in each sentiment category. The results showed that public opinion was divided into three categories: 37% positive, 42% neutral and 21% negative. A frequently discussed topic in relation to electric vehicle batteries is the word feature nickel. Topic modelling produces five main topic categories that are frequently discussed by the public.
Co-Authors Fajar Ciputra Daeng Bani Juli Astuti M. Zaiyar Muhammad Alde Rizal Riri Damayanti Apnena Trisna Yuniarti