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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Penelitian Inovatif Decode: Jurnal Pendidikan Teknologi Informasi E-Amal: Jurnal Pengabdian Kepada Masyarakat Jurnal Manajemen Bisnis dan Terapan
Paradhita, Astrid Noviana
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Health Professions Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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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.
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.
DIGITALIZATION AND MEDIA CONVERGENCE IMPLICATION IN THE RADIO BUSINESS WITH WEB DEVELOPMENT AND STREAMING APPLICATIONS Paradhita, Astrid Noviana; Oktavia , Dinda Ayu
Jurnal Manajemen Bisnis dan Terapan Vol. 3 No. 1 (2025): MEISTER January 2025
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.v3i1.2095

Abstract

In the era of digitalization like today, everyone is made easier by various rapidly growing technologies. Information and communication technology development has made analog communication systems adapt and transform into digital information and communication systems. Business industries engaged in information media, such as Radio, are not spared from this phenomenon. Radio can be threatened by the existence of various digital  platforms that facilitate public access to information. Therefore, This research was conducted to optimize the broadcasting technology for Radio business to remain in demand by the public. One of the strategies taken by the radio industry is to carry out media convergence. One of the radio businesses that has implemented media convergence is PTPN Radio Solo. The research is carried out by applying research methods that have been designed so that research can be carried out in a structured manner. This research was carried out using a case study research design, data collection through observation and interviews, and qualitative descriptive discussion methods. PTPN Radio Solo has successfully implemented broadcast digitalization using streaming websites and the Noice streaming application. Media convergence has also penetrated social media, which is popular with young people. After implementing media convergence, PTPN Radio Solo can increase its market. The number of clients interested in advertising on PTPN Radio Solo evidences this.
Co-Authors Abdul Aziz Agus Purbayu, Agus Amborowati, Agustin Aubin Sava Rausanfiker avika, isma ridha Bagus Brang Wicaksono Bambang Harjito, Bambang Bawono, Sahirul Alim Tri Daaniis Raditya Pramoda Wardani Hardian Ningsih, Hardian Khadija, Mutiara Auliya Mutiara Auliya Khadija Nurharjadmo, Wahyu Oktavia , Dinda Ayu Pusparisti, Myrtana Rafael Kurniawan Albyseptra Pratama Saberi, Morteza Shafwan Eksa Jayadi Sri Haryati