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Subarkah, Pungkas
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Design of a Sales Performance System for SMEs based on Business Intelligence and Data Warehouse Saputra, Dhanar; Subarkah, Pungkas; Afifah, Erika Luthfi; Muflikhatun, Siti; Ramadani, Nevita Cahaya; Utami, Melida Ratna; Aunillah, Puteri Johar
Indonesian Journal of Data and Science Vol. 3 No. 3 (2022): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v3i3.58

Abstract

The influence of information technology today is powerful. It impacts people's lives because technological changes are running so fast and affect the way of thinking and behaving in competition in the business world and organizations. Small and Medium Enterprises (SMEs) must be able to adapt to this technology to maintain their business. It means that digitizing SMEs means integrating technology into all business activities. In this study, Toko Cerme is the object of research. The Toko Cerme is a SMEs in the form of a minimarket located in Central Java, Indonesia. The Toko Cerme takes advantage of technology to help run business processes so that they can be managed optimally. In running its business, The Toko Cerme is currently using an information system to input product data and transaction activities. The purpose of this research is to propose a Design of a Sales Performance System based on Business Intelligence and a Data Warehouse to support business processes at the Toko Cerme so that it can efficiently process data and information in the future. From the research that the authors conducted, it can be concluded that the results of this study are the creation of a data warehouse and business intelligence design using the nine steps Kimbal method. At the same time, Pentaho Data Integration (PDI) is a tool. The design is used as a reference in producing information relating to sales transactions.
VTUBER PERSONAS IN DIGITAL WAYANG: A REVIEW OF INNOVATIVE CULTURAL PROMOTION FOR INDONESIAN HERITAGE Hermawan, Hellik; Subarkah, Pungkas; Utomo, Anwar Tri; Ilham, Fatah; Saputra, Dhanar Intan Surya
Jurnal Pilar Nusa Mandiri Vol. 20 No. 2 (2024): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Pe
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v20i2.5921

Abstract

This study investigates the integration of VTuber into Wayang Digital as a strategic initiative to promote Indonesian cultural heritage. By leveraging advanced technologies such as real-time motion capture and artificial intelligence (AI), the project aims to enhance the animation quality and interaction of VTuber, creating a more immersive and engaging experience for audiences. The research focuses on three key aspects: VTuber integration's effectiveness in attracting international audiences, optimizing real-time motion capture for high-quality animation, and applying AI algorithms to create adaptive, responsive interactions between VTubers and their viewers. Through these innovations, the study aims to enrich the narrative and visual appeal of Wayang Digital, making it more accessible and appealing to a diverse global audience. The findings show that integrating advanced technologies enhances Wayang Digital's storytelling, aesthetics, and effectiveness as a powerful tool for cultural promotion. AI-enabled adaptive interactions create a personalized viewer experience, deepening audience connections with the traditional art form. High-quality animation preserves and effectively communicates Wayang's cultural nuances to audiences, enhancing its impact and cultural promotion. This study underscores the importance of continuous technological innovation and strategic implementation in the preservation and globalization of Indonesian heritage through digital media, suggesting that the future of cultural preservation lies in the seamless integration of tradition with cutting-edge technology.
Rekomendasi Restock Barang di Toko Pojok UMKM Menggunakan Algoritma K-Means Clustering Salsabiela, Ayuni; Kuncoro, Adam Prayogo; Subarkah, Pungkas; Arsi, Primandani
Journal of Technology and Informatics (JoTI) Vol. 5 No. 2 (2024): Vol. 5 No.2 (2024)
Publisher : Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37802/joti.v5i2.554

Abstract

Toko Pojok ialah toko yang menjual beraneka produk seperti makanan ringan dan minuman. Toko Pojok UMKM dalam pembukuan selama ini masih dilakukan secara manual dengan buku besar baik dalam pencatatan produk masuk maupun penjualan. Pembukuan dilakukan belum tersistem mengakibatkan data menumpuk, sehingga pemilik kesulitan dalam melihat stok yang terjual sehingga pengadaan barang ke supplier ada keterlambatan. Berdasarkan permasalahan tersebut penelitian ini dilakukan untuk merekomendasikan restock produk menggunakan algoritma K-Means dimana pengadaan barang dalam jumlah banyak, sedang dan sedikit. Penelitian ini menggunakan algoritma k-means clustering dengan 3 cluster. Di mana nilai k=3 merupakan nilai cluster terbaik dalam penelitian ini dengan performa dari cluster berdasarkan hasil Davies Bouldin Index sebesar 0.436, di mana cluster 1 ada 9 produk jumlah banyak dan masuk pengadaan barang, cluster 2 ada 19 produk jumlah sedang dan masuk pengadaan barang serta cluster 0 ada 110 produk jumlah sedikit masuk pengadaan barang.
Perancangan Aplikasi Bimbingan Karir Berbasis Website Job Journey Untuk Membantu Peserta Didik Merencanakan Karir Awali, Uston; Subarkah, Pungkas; Riyanto, Riyanto
Digital Transformation Technology Vol. 4 No. 1 (2024): Periode Maret 2024
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v4i1.3898

Abstract

Penelitian ini bertujuan untuk merancang fitur-fitur baru pada aplikasi bimbingan karir berbasis website, Job Journey, yang belum ada pada aplikasi bimbingan karir sebelumnya. Aplikasi ini diharapkan membantu siswa SMA dalam merencanakan karir mereka dengan lebih baik. Metode penelitian yang digunakan adalah model waterfall, yang meliputi tahapan analisis, desain, implementasi, pengujian, dan pemeliharaan. Fitur-fitur baru yang dikembangkan meliputi layanan konsultasi, mentoring, webinar, kelas online, informasi lowongan kerja, dan tes psikologi. Pengujian sistem dilakukan dengan metode Blackbox Testing untuk memastikan validitas dan kinerja sistem. Hasil pengujian menunjukkan bahwa fitur-fitur aplikasi berfungsi dengan baik sesuai dengan harapan. Aplikasi Job Journey berhasil memfasilitasi siswa dalam merencanakan karir mereka melalui interaksi langsung dengan profesional, memberikan wawasan dan nasihat dari para ahli, serta meningkatkan kesiapan mereka untuk memasuki dunia kerja. Selain itu, aplikasi ini memudahkan administrator dalam mengelola data pengguna, pembayaran, artikel, serta memantau perkembangan siswa dalam menggunakan layanan aplikasi. Kesimpulannya, Aplikasi Job Journey efektif dalam memenuhi kebutuhan perencanaan karir siswa dan memudahkan pengelolaan serta pemantauan layanan oleh administrator
Visual Rebranding Desain Kemasan Produk Olahan Gula Jahe Seduh UMKM Berkah di Kabupaten Banyumas Wahyu, Herta Tri; Sarmini, Sarmini; Subarkah, Pungkas
ANDHARUPA: Jurnal Desain Komunikasi Visual & Multimedia Vol. 9 No. 04 (2023): December 2023
Publisher : Dian Nuswantoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/andharupa.v9i4.8311

Abstract

Abstrak Produk gula jahe seduh menjadi salah satu produk olahan rempah di Kabupaten Banyumas tepatnya di Kota Purwokerto. UMKM “Berkah” mencoba memasuki terobosan baru dalam mengejar tren gaya hidup sehat yang kekinian. Untuk meningkatkan eksistensi di khalayak konsumen dari produk ini, maka dilakukan proses rebranding terkait desain kemasan. Mengingat pentingnya proses rebranding, hal ini dilakukan untuk menyampaikan nilai tambah dan citra brand UMKM “Berkah” kepada konsumen. Metode dalam penelitian kualitatif ini menggunakan pendekatan Analisis USP (Unique Selling Proposition), Analisis SWOT, dan Analisis STP (Segmenting, Targeting, dan Positioning). Proses pengambilan data dengan wawancara agar nantinya mendapat informasi yang tepat dan mendalam. Melalui serangkaian tahapan perancangan dan pengujian mendapatkan respon yang positif untuk mengembangkan produk UMKM lebih dikenal oleh konsumen. Hasil penelitian ini adanya keterbaharuan desain kemasan pada produk olahan gula jahe seduh “Berkah” yang digunakan untuk keberlangsungan proses penjualan. Ada harapan bahwa melalui penelitian ini, produk olahan gula jahe seduh “Berkah” akan dapat bersaing bersama kompetitor lainnya. Kata Kunci: desain kemasan, gula jahe, rebranding, UMKM AbstractGinger Sweetened Sugar Products became one of the spice-processed products in the Banyumas District precisely in Purwokerto City. UMKM “Berkah” is trying to enter a breakthrough in pursuing the trend of a healthy lifestyle. To increase the existence in the consumer audience of this product, then carried out a rebranding process related to packaging design. Given the importance of the rebranding process, it is done to convey added value and image of UMKM brand 'Berkah' to consumers. The methods in this qualitative research use the USP (Unique Selling Proposition) analysis, SWOT analysis, and STP analysis approaches. (Segmenting, Targeting, and Positioning). The process of data collection with interviews to obtain accurate and in-depth information. Through a series of design and testing stages get a positive response to develop UMKM products better known by consumers. The result of this research is a renewal of the packaging design on the processed products of ginger sugar "Berkah" used for the sustainability of the sales process. It is hope that through this research, the processed ginger sugar product "Berkah" will be able to compete with other competitors. Keywords: ginger sweetened sugar, MSME, packaging design, rebranding
Classification of Rice Plant Disease Image Using Convolutional Neural Network (CNN) Algorithm based on Amazon Web Service (AWS) Anggraini, Nova; Kusuma, Bagus Adhi; Subarkah, Pungkas; Utomo, Fandy Setyo; Hermanto, Nandang
Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i3.5883

Abstract

− In agriculture, rice plays an important role in the Indonesian economy. Rice produces rice, one of the most widely consumed staple food sources in Indonesia. Many factors can cause rice production failure, one of which is leaf pests and diseases. Therefore, early identification and management of plant diseases is an important step in an effort to increase crop yields and ensure food safety. One way to detect rice leaf images early is to perform an image classification process and create a web-based application. The method that has the ability in image processing is deep learning technique with convolutional neural network (CNN) method. The Convolutional Neural Network (CNN) method works to perform and predict diseases in plants by using image categorization or object images. This research aims to apply the web application of image classification of rice plant diseases to the Amazon Web Service (AWS) by identifying and classifying various types of rice leaf diseases using the CNN algorithm, so that farmers can detect rice plant diseases quickly and accurately through image analysis. This application was created using Convolutional Neural Network (CNN) methodology and Software Development Life Cycle (SDLC). The result of this study is that researchers created a web application for the classification of rice plant diseases through leaf images which are divided into 4 categories, namely Healthy, Leaf Blight, Brown Leaf Blight and Hispa, which is made a classification model using CNN with an accuracy value of 0. 8608, then using the streamlit framework to build a website, and utilizing AWS services in the form of Amazon Elastic Compute Cloud (Amazon EC2) as a hosting service, Amazon Simple Storage Service (Amazon S3) as a service for storing rice plant disease classification models and for storing web files, and Amazon Identity and Access Management Role (Amazon IAM) as a service to create a role that gives permission to connect between AWS S3 and AWS EC2. Testing the disease classification model in rice plants implemented on the web in EC2 shows quite good results with an accuracy of 78.5%. This can affect the model's ability to recognize specific disease patterns
PELATIHAN APLIKASI SPEECHACE UNTUK MENINGKATKAN KEMAMPUAN BAHASA INGGRIS BAGI GURU Riandini, Dini; Marlita, Reva; Romadoni, Nova Salma; Subarkah, Pungkas
Jurnal Abdi Nusa Vol. 4 No. 3 (2024): October 2024
Publisher : LPPM Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/abdinusa.v4i3.289

Abstract

English language skills must be improved, especially for educators or teachers. This is especially problematic for madrasah teachers who are not English graduates. For this reason, speechace application training is needed to improve English language skills for teachers of MI Muhammadiyah, Kedungwuluh, Patikraja, Banyumas. The purpose of the course is to provide knowledge and skills for teachers in optimizing information technology, especially the speechace application to support the improvement of English language skills and abilities in the school environment. The implementation method used is the Community Language Learning (CLL) method which consists of the preparation stage, implementation stage and evaluation stage. The results of this service during the training were active participant participation and the results obtained with the pre-test and post-test pre-test and post-test, then out of 21 participants, 95% of the participants This activity is expected to contribute to efforts to improve English language skills among teachers.
PELATIHAN E-MODUL INTERAKTIF BERBASIS TEKNOLOGI INFORMASI UNTUK MENINGKATKAN LITERASI DIGITAL BAGI GURU Subarkah, Pungkas; Prasetyo Kartika, Nur Kholifah Dwi; Rofiqoh, Dayana; Arsi, Primandani; Marcos, Hendra
Jurnal Abdi Nusa Vol. 4 No. 3 (2024): October 2024
Publisher : LPPM Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/abdinusa.v4i3.311

Abstract

Mastering information technology, especially in the field of education for a teacher in the current era, is indeed a must that must be owned by each individual teacher. For this reason, professional flip pdf application training is needed to improve the ability to collaborate on more interactive learning media for students, for teachers of MI Muhammadiyah Wangon, Banyumas Regency. The purpose of this training is to provide knowledge and skills for teachers in optimizing information technology, especially the professional flip pdf application to support improving the ability to collaborate learning methods for students. The implementation method used is the Community Language Learning (CLL) method which consists of the preparation stage, implementation stage and evaluation stage. The results of this service during the training were active participant participation and the results obtained with the pre-test and post-test, then out of 15 participants, 97% of the trainees experienced an increase in their ability to use the professional flip pdf application. This activity is expected to contribute to efforts to improve information technology skills among teachers, especially in supporting teaching and learning activities for students to make them more interactive
Penerapan Algoritma Apriori untuk Rekomendasi Produk Spare Part Mobil Aditya Permana, Reza; Arsi, Primandani; Subarkah, Pungkas
Journal of Technology and Informatics (JoTI) Vol. 6 No. 1 (2024): Vol. 6 No.1 (2024)
Publisher : Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37802/joti.v6i1.597

Abstract

Guna memberikan layanan optimal kepada pelanggan, bisnis spare part mobil perlu menerapkan strategi bisnis terbaik. Namun, terkadang beberapa faktor menghambat penentuan strategi tersebut. Salah satu penyebabnya adalah kesulitan dalam melakukan analisis terkait data penjualan pelanggan yang sudah ada. Berdasarkan data pelanggan yang disimpan dalam database, perusahaan mengidentifikasi bahwa sistem penjualan saat ini tidak efektif. Kemudian apabila produk banyak yang tidak terjual, maka keterlambatan dalam pengembalian modal bagi penjual juga akan menjadi masalah. Dalam mengatasi hambatan ini, perusahaan perlu mengadopsi strategi promosi penjualan dan menganalisis pola penjualan spare part untuk menentukan pola penjualan dan memberikan gambaran keterkaitan antar barang dengan menganalisis data transaksi penjualan. Metode yang akan digunakan dalam menganalisis pola penjualan pada penelitian ini adalah dengan menggunakan market basket analysis. Metode ini dihitung menggunakan Algoritma Apriori dengan menggunakan bantuan Google Collab dengan menentukan nilai minimum support sebesar 8 % dan minimum confidence sebesar 60 %. Perhitungan dalam Google Collab akan menghasilkan kumpulan item yang sering dibeli dengan kombinasi 1 itemset sampai dengan 5 itemset yang dibeli secara bersamaan. Hasil assosiation rule tersebut dapat dijadikan acuan kepada pengambil keputusan dalam upaya meningkatkan strategi pemasaran dan promosi produk suku cadang mobil bagi PT Milenia Mega Mandiri yang lebih baik.
Prediksi Vaksinasi Terhadap Penambahan Kasus Covid-19 Dengan Neural Network Damayanti, Irma; Hakim, Arief Rachman; Subarkah, Pungkas; Utami, Dias Ayu Budi; Rahayu, Prastyadi Wibawa
Decode: Jurnal Pendidikan Teknologi Informasi Vol. 4 No. 1: MARET 2024
Publisher : Program Studi Pendidikan Teknologi Infromasi UMK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51454/decode.v4i1.354

Abstract

Covid-19 menjadi masalah kritis yang harus segera diselesaikan. Karena telah menyebabkan peningkatan kasus dan kematian yang signifikan di seluruh dunia. Upaya pencegahan dan pengendalian yang dilakukan oleh berbagai negara meliputi penutupan, pembatasan sosial, dan termasuk vaksinasi tak terkecuali di Indonesia. Analisis dan pemahaman yang lebih mendalam tentang hubungan antara vaksinasi dan penambahan kasus Covid-19 diperlukan. Dengan perkembangan teknologi dan berdasarkan penelitian terdahu model kecerdasan buatan yang salah satunya berupa jaringan saraf tiruan (neural network) dapat membantu dalam memodelkan dan memprediksi dampak vaksinasi terhadap penambahan kasus Covid-19. Penelitian ini melakukan perhitungan prediksi vaksinasi terhadap laju kenaikan kasus di Indonesia dengan Neural Network menggunakan struktur backpropagation. Data yang digunakan dalam penelitian ini yaitu data Covid-19 dan data vaksinasi ditahun 2020 sampai 2021. Hasil yang didapa bahwa model Neural Network dapat melakukan prediksi vaksinasi. Dengan pola skenario batchSize = 32, hidden layer = 5, learningRate = 0.3, momentum = 0.2 , dan trainingTime = 100 menunjukan akurasi 60,73% dengan nilai RMSE 0.484, yang mana diketahui bahwa 99 data yang berhasil diprediksi dengan tepat.
Co-Authors Adam Prayogo Kuncoro Adhimah, Laily Farkhah Aditya Permana, Reza Afifah, Erika Luthfi Alifian , Raditya Sani Amin, M. Syaiful Anggraeni, Epri Anggraini, Nova Anshari, Muhammad Rifqi Anunggilarso, Luky Rafi Arief Rachman Hakim Arsi, Primandani Astrida, Deuis Nur Aunillah, Puteri Johar Awal Rozaq, Hasri Akbar Awali, Uston Azhar Andika Putra Azzahra, Delia Oktaviana Bagus Adhi Kusuma Baihaqi, Wiga Maulana Busyro, Muhammad Damayanti, Aulia Shafira Tri Damayanti, Wenti Risma Darmo, Cahyo Pambudi Dermawan, Riky Dimas Dhanar Intan Surya Saputra Dias Ayu Budi Utami, Dias Ayu Budi Dwi Krisbiantoro, Dwi Elistiana, Khoerotul Melina Fadilah, Alif Nur Fandy Setyo Utomo Firmanda, Reza Arief Hellik Hermawan Hendra Marcos Hendra Marcos, Hendra hidayatulloh, hanif Ikhsan, Ali Nur Ilham, Fatah Irma Damayanti Irma Darmayanti Katiandhago, Bryan Jerremia Khoerida, Nur Isnaeni Khofiyah, Salma Ngarifatul Kholifah Dwi Prasetyo Kartika, Nur Kisma, Atmaja Jalu Narendra Kusuma, Bagus Adhi Kusuma, Velizha Sandy Lestari, Vika Febri Marlita, Reva Merliani, Nanda Nurisya Mohammad Imron Muflikhatun, Siti Mustolih, Akhmad Nandang Hermanto Nasar Ghanim, Nadif Nuraini , Rema Sekar Nurul Hidayati PAISAL PAISAL Pramudya, Reyvaldo Shiva Prasetya, Eko Budi Prasetyo Kartika, Nur Kholifah Dwi Prastyadi Wibawa Rahayu Prayoga, Iphang Primandani Arsi Purba, Mariana Ramadani, Nevita Cahaya Riandini, Dini Riyanto Riyanto Rizki Wahyudi Rofiqoh, Dayana Rohman, M. Abdul Romadoni, Nova Salma Rujianto Eko Saputro Sabaniyah, Arbangi Puput Sadewo, Rizki Salsabiela, Ayuni Saputra, Dhanar Sari, Rida Purnama Sarmini Sarmini Satrio Nugroho, Chendri Irawan Septiana Putri, Refida Sugiarti Sugiarti Suhaman, Jali Susanto, Wachyu Dwi Syabani, Amin Tarwoto, Tarwoto Tri Astuti Triana, Latifah Adi Umma, Rofiqul Utami, Melida Ratna Utomo, Anwar Tri V, Jay Wahyu, Herta Tri WIDI LESTARI, TRI ENDAH Widiawati, Neta Tri Yunita, Ika Romadhoni Yunita, Ika Romadoni