Claim Missing Document
Check
Articles

Found 13 Documents
Search

OPTIMALISASI PRODUKSI PETERNAKAN AYAM BROILER MELALUI PENERAPAN MANAJEMEN OPERASIONAL DI SIMO BOYOLALI Amborowati, Agustin; Ningsih, Hardian; Pusparisti, Myrtana; Paradhita, Astrid Noviana
E-Amal: Jurnal Pengabdian Kepada Masyarakat Vol 4 No 2: Mei-Agustus 2024
Publisher : LP2M STP Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47492/eamal.v4i2.3451

Abstract

Kabupaten Boyolali memiliki jumlah produksi ayam pedaging paling tinggi di antara Kabupaten/Kota lainnya di Karisidenan Surakarta. Pada tahun 2020, Kabupaten Boyolali mencapai puncak produksi dengan jumlah 13.307,91 ribu ekor ayam pedaging. Salah satu persoalan Komunitas Manunggal Peternak Ayam Broiler di Simo Boyolali adalah penyebaran penyakit hewan. Keberadaan banyak ayam dalam satu tempat, seperti di peternakan besar, dapat memicu cepatnya penyebaran penyakit antarindividu. Oleh karena itu, pengelolaan kesehatan hewan, kebersihan kandang, dan implementasi praktik biosekuriti menjadi kunci dalam mengatasi persoalan ini. Pertimbangan lingkungan juga menjadi tantangan serius bagi Komunitas Peternak Ayam Broiler di Simo Boyolali. Limbah organik dari peternakan dapat mencemari air dan tanah, menyebabkan masalah lingkungan yang perlu ditangani secara bijaksana. Penerapan praktik-praktik ramah lingkungan, pengelolaan limbah yang efisien, dan pengurangan dampak lingkungan menjadi fokus untuk menjawab persoalan ini. Aspek ekonomi juga menjadi faktor penting yang mempengaruhi keberlanjutan Komunitas Peternak Ayam Broiler di Simo Boyolali. Fluktuasi harga pakan, biaya perawatan, dan persaingan pasar dapat mempengaruhi profitabilitas peternakan
Backend Programming Techniques in the Development of Resource Manager Features in VRMS Systems Based on ORM Prisma Mutiara Auliya Khadija; Paradhita, Astrid Noviana; Purbayu, Agus; Bawono, Sahirul Alim Tri; Aziz, Abdul; Haryati, Sri; Aubin Sava Rausanfiker; Bagus Brang Wicaksono; Shafwan Eksa Jayadi
Decode: Jurnal Pendidikan Teknologi Informasi Vol. 4 No. 3: NOVEMBER 2024
Publisher : Program Studi Pendidikan Teknologi Infromasi UMK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51454/decode.v4i3.792

Abstract

The development of community makes human resource management in the company also needs to consider changing work rhythms. Nowadays, many companies use external human resources to complete work in the company. Therefore, an external human resource management strategy is needed that suits the company's needs. The Industrial Revolution 4.0 makes human resource management more about cross-generational competency-based management with a more integrated system. Information systems are one of the most widely used technologies in computer science and communication networks in companies' development of computing systems. information system as a primary computing system that needs to be owned by a company in order to optimize the company's business processes. This optimization also includes managing the company's internal and external human resources. This research focused on the development of human resource management systems. Therefore, this system is called the VRMS system. The VRMS system was developed using a hybrid agile method using the concept of Prisma ORM with NestJs. This research succeeded in building a VRMS system with a performance level of 100%.
Implementation Of Dynamic Role-Based Access Control and Record Log-In Dependency Injection Based VRMS System Paradhita, Astrid Noviana; Khadija, Mutiara Auliya; Purbayu, Agus; Bawono, Sahirul Alim Tri; Aziz, Abdul; Haryati, Sri; Daaniis Raditya Pramoda Wardani; Rafael Kurniawan Albyseptra Pratama
Decode: Jurnal Pendidikan Teknologi Informasi Vol. 4 No. 3: NOVEMBER 2024
Publisher : Program Studi Pendidikan Teknologi Infromasi UMK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51454/decode.v4i3.752

Abstract

Human resource management is one of the critical factors for a company in order to realize the company's vision, mission, and goals. This requires effective and efficient human resource management by integrating the entire management process well. This is to manage the company's internal and external human resources. VRMS is an integrated application that can manage the company's external resources. VRMS is built based on dependency injection. VRMS has two superior features: role-based access control (RBCA) and record log. RBCA is a feature that manages all resources involved in a company project. At the same time, the record log allows super admins to monitor and evaluate the performance of all external company resources. The VRMS system is built using hybrid methodoly in software development life cycles from initiation phase, planning, execution, and testing. The testing process used in this system is the user acceptance test (UAT) method. The test results show that all features on VRMS can run 80% well.
Renewable Energy Power Generation Design Modeling Simulation on Solar Energy Sources and Coconut Shells Using Homer Widiarini, Nefertiti; Paradhita, Astrid Noviana; Noriska, Ni Komang Septia
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 5 No. 1 (2025): March 2025
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v5i1.18352

Abstract

Using fossil fuels contributes to carbon dioxide and methane emissions that increasingly damage nature. Innovations in renewable energy that are more environmentally friendly with good energy supply chain management need to be implemented immediately. Indonesia is an archipelagic country with an imbalance in energy sufficiency figures in several regions, including Balikukup village in East Kalimantan. This condition hinders people's daily activities and is a significant obstacle to business activities. This research was conducted to design a zero-carbon renewable hybrid energy innovation that can preserve the environment and improve the community's economy using solar energy and coconut shells. The design was simulated using the HOMER application to find out how much potential and electricity the residents of Balikukup village would get. This study obtained a system configuration scenario: the marine product drying machine, which has a total production of 4,106 kWh/yr. This machine requires a PV capacity of 7,627 kW/yr, 18 batteries, and an inverter capacity of 1.62 kW. In addition, coconut shell briquettes can also optimize the marine product drying machine where 100 - 150 kg of coconut shell waste can increase the drying temperature to 60° - 70° C in a faster time of around 3 - 4 hours to reduce the weight of marine products from 5 - 8 kg to 1 - ½ kg.
Implementasi Agile Scrum dalam Rancang Bangun Sistem Rekrutmen Karyawan di Perusahaan X Surakarta Paradhita, Astrid Noviana; Pusparisti, Myrtana; Hendrastuty, Nirwana
Justek : Jurnal Sains dan Teknologi Vol 8, No 2 (2025): Juni
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v8i2.30578

Abstract

Abstract:  Technology can optimize the company management process by helping related parties provide the necessary considerations. Company X, one of the state-owned companies in Surakarta, found obstacles in the new employee recruitment process, such as long selection times, high operational costs, and concerns about fraud and bias that occurred during the selection process. Therefore, this study was conducted to design a new employee recruitment system at Company X to improve efficiency, effectiveness, and transparency during the recruitment process. The system was designed by implementing the Agile Scrum method using Laravel. The test results showed that the development process could be completed in 80 effective working days with minimal errors. The test results showed that all components could interact with each other so that data exchange could run well according to needs.Abstrak: Teknologi mampu mengoptimasi proses pengelolaan perusahaan dengan membantu pihak terkait untuk memberikan pertimbangan yang dibutuhkan. Perusahaan X, salah satu perusahaan BUMN di Surakarta mendapati kendala dalam proses rekrutmen karyawan baru seperti waktu seleksi yang panjang, biaya operasional yang besar, hingga kekhawatiran akan kecurangan dan bias yang terjadi selama proses seleksi. Oleh sebab itu, penelitian ini dilakukan untuk merancang sistem rekrutmen karyawan baru di Perusahaan X untuk meningkatkan efisiensi, efektivitas, dan transparansi selama proses rekrutmen. Sistem dirancang dengan menerapkan metode Agile Scrum manggunakan laravel. Hasil pengujian menunjukkan bahwa proses pengembangan dapat dilakukan dalam 80 hari kerja efektif dengan minimal eror. Hasil pengujian menunjukkan bahwa seluruh komponen dapat saling berinteraksi sehingga pertukaran data dapat berjalan dengan baik sesuai kebutuhan.        
Generative Indonesian chatbot for university major selection using transformers embedding Khadija, Mutiara Auliya; Harjito, Bambang; Saberi, Morteza; Paradhita, Astrid Noviana; Nurharjadmo, Wahyu
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i4.pp3474-3482

Abstract

Selecting a university major is a crucial decision that impacts students' future career paths and personal fulfillment. Traditional guidance methods often lack the personalization and timeliness needed to support students effectively. This study explores the use of Indonesian generative artificial intelligence (AI) chatbots and transformer embeddings to enhance decision-making for university major selection. By leveraging advanced AI techniques, such as bidirectional encoder representations from transformers (BERT) and Gemini embeddings, the research aims to provide personalized, interactive, and contextually relevant guidance. Experiments showed that BERT embeddings achieved the highest accuracy, with recurrent neural network (RNN) and long short-term memory (LSTM) models also performing well but facing issues with overfitting. Gemini embeddings provided strong performance but slightly less effective than BERT. The findings suggest that BERT-based models with RNN are superior for developing decision-support systems in 92% accuracy. Future work should focus on further optimization and integration of user feedback to ensure the relevance and effectiveness of these AI tools in educational settings.
Prediksi Inflasi di Indonesia Menggunakan Algoritma Fuzzy dengan Bahasa Pemrograman Phyton Paradhita, Astrid Noviana
Jurnal Penelitian Inovatif Vol 4 No 2 (2024): JUPIN Mei 2024
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jupin.339

Abstract

Kemampuan ekonomi seseorang dapat digambarkan dengan kemampuan dalam beradaptasi dengan perubahan kondisi perekonomian negara seperti perubahan tingkat inflasi. Pembuatan kebijakan pemerintah terkait strategi pembangunan jangka panjang nasional perlu mempertimbangkan aspek-aspek yang dapat menekan tingkat inflasi di Indonesia. Pembuatan kebijakan tersebut juga harus dibekali dengan data terkait perkembangan perekonomian dan inflasi yang valid dan signifikan terkait prediksi inflasi selama beberapa tahun kedepan. Penelitian ini bertujuan untuk melakukan prediksi angka inflasi di Indonesia selama tiga tahun ke depan. Metode penelitian yang digunakan yaitu identifikasi, data requirement, dan implementasi bahasa pemrograman phyton yang di dalamnya menerapkan perhitungan prediksi tingkat inflasi dengan algoritma fuzzy. Identifikasi dilakukan untuk melihat perubahan angka inflasi di Indonesia beserta dampaknya. Data requirement dilakukan untuk mengumpulkan data yang dibutuhkan. Data yang digunakan adalah data inflasi di Indonesia sejak tahun 2009 hingga tahun 2023. Perhitungan fuzzy digunakan untuk menganalisis pola tingkat inflasi di Indonesia selama 15 tahun terakhir. Dari penelitian ini diperoleh hasil bahwa algoritma fuzzy dapat digunakan untuk melakukan prediksi nilai inflasi di Indonesia. Hasil prediksi tingkat inflasi yang diperoleh adalah di awal tahun 2024 sebesar 7,94%, di akhir tahun 2024 angka inflasi sebesar 5,3%, di tahun 2025 angka inflasi sebesar 5,03%, dan di tahun 2026 angka inflasi sebesar 5%.
ANALYZING THE EFFECT OF JOB SATISFACTION AND EMPLOYEE WORK EXPERIENCE ON EMPLOYEE PERFORMANCE LOYALTY: (Case Study: Assalam Hypermarket) avika, isma ridha; paradhita, astrid noviana
Jurnal Manajemen Bisnis dan Terapan Vol. 2 No. 1 (2024): MEISTER January 2024
Publisher : This journal is published by the Vocational School of Universitas Sebelas Maret.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/meister.v2i1.1068

Abstract

Human resources or HR is one of the elements in the company that is quite important to ensure the smooth running of operational activities in the company. Employee satisfaction and work experience are several factors in maintaining the level of employee performance loyalty in a company. This study was conducted to examine the relationship between the influence of job satisfaction and work experience felt by employees on the level of employee performance loyalty at Assalaam Hypermarket. This study collects data with questionnaires from 100 sample data of employees who work at Assalam Hypermarket. The discussion method used is descriptive quantitative by testing several instrument items that describe the level of satisfaction and work experience of employees using validity and reliability tests. After that, the researcher analyzes using multiple linear regression techniques. In this study, researchers used the SPSS application to conduct tests. From this study, it was concluded that job satisfaction had an effect of 64.5% and work experience had an effect of 28.5% on the level of employee performance loyalty in the company. The results showed that several aspects of work experience still need to be improved by Assalam Hypermarket.
OPTIMIZATION OF WAREHOUSE FUNCTIONS, GOOD RECEIVING AND GOODS RETURN PROCEDURES : study case: Assalam Hypermarket paradhita, astrid noviana; Tineka, Yohanes Wien
Jurnal Manajemen Bisnis dan Terapan Vol. 2 No. 2 (2024): MEISTER July 2024
Publisher : This journal is published by the Vocational School of Universitas Sebelas Maret.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/meister.v2i2.1327

Abstract

Warehouses have an essential role in the sustainability of retail businesses. A warehouse is not only a place to store goods but also receives, distributes, and returns goods. Assalam Hypermarket is a retail business that still needs help maximizing warehouse functions. Assalam Hypermarket still has several obstacles that could be solved, such as fighting over goods between warehouse divisions, damage to goods, and distribution delays. This research aims to analyze the causes of problems and optimize the implementation of warehouse functions. This research was conducted by applying qualitative descriptive research methods to analyze the function of the warehouse at the Assalam Hypermarket shopping center. The research flow is carried out systematically, from determining the research design, determining research objects and subjects, collecting data and information, analyzing data and information, drawing conclusions, and providing solution recommendations. From this research, results were obtained in the form of factors that cause problems in carrying out warehouse functions. Therefore, Assalam Hypermarket can continue to provide regular outreach regarding SOPs for receiving and returning goods to warehouse staff. Assalam Hypermarket can also print SOPs for receiving and returning goods at the warehouse and implement a cross-decking model to run warehouse operations. Apart from that, Assalam Hypermarket can also improve the competency of warehouse staff by providing BIT training.
APPLICATION OF AIDCA COPYWRITING TECHNIQUES IN ADVERTISING CONTENT CREATION ON SOCIAL MEDIA : Case Study : PT Toekang Digital paradhita, astrid noviana; Pusparisti, Myrtana
Jurnal Manajemen Bisnis dan Terapan Vol. 2 No. 2 (2024): MEISTER July 2024
Publisher : This journal is published by the Vocational School of Universitas Sebelas Maret.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/meister.v2i2.1508

Abstract

Technological developments and people's consumption behavior have brought changes for industry players to introduce their products and services using digital marketing strategies. In its development, digital marketing has penetrated various media platforms, including social media. Copywriting is one method that can be used to create advertising content on social media. There are still many industry players who currently use digital agency services to make social media advertisements. However, quite a few were disappointed with the results obtained because even though they had paid a lot of money to create advertising content, no change or increase in sales was felt. This research aims to analyze the influence of applying AIDCA copywriting techniques on creating advertising content on social media. The study was carried out by applying qualitative descriptive methods. The results of this research show that applying the AIDCA technique to copywritten advertising content can increase traffic to the advertised product. Apart from that, implementing AIDCA can increase the actions of consumers who like, comment on, and share advertisements via consumer social media accounts.