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All Journal Jurnal Abdimas Mandiri International Journal of Health, Engineering and Technology AnoaTIK: Jurnal Teknologi Informasi dan Komputer Jurnal Kecerdasan Buatan dan Teknologi Informasi
Agustina Heryati
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Dentistry Education Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary

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PELATIHAN PENULISAN KARYA ILMIAH BAGI GURU DI LINGKUNGAN DINAS PENDIDIKAN KOTA PALEMBANG Fauzia Afriyani; Abdul Kholik; Agustina Heryati; Try Wulandari; Dio Resta Permana
Jurnal Abdimas Mandiri Vol. 7 No. 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jam.v7i1.2971

Abstract

Dinas pendidikan Kota Palembang membuat pelatihan penulisan karya ilmiah bagi guru yang bertujuan untuk meningkatkan kemampuan menulis para guru dalam menghasilkan karya ilmiah yang berkualitas dan bermanfaat bagi dunia pendidikan. Pelatihan tersebut meliputi berbagai aspek penulisan karya ilmiah, seperti pemilihan topik penelitian, perumusan masalah penelitian, pengumpulan dan analisis data, serta penyusunan laporan penelitian. Metode dalam pelatihan ini meliputi Identifikasi Tujuan, Persiapan Materi, Penentuan Jadwal dan Durasi, Pemilihan Peserta, Sesi Praktikum, Umpan Balik dan Evaluasi. Dari survey sebelum pelatihan Peserta kesulitan dalam menyusun desain penelitian yang sesuai dan memilih metode analisis yang tepat. Peserta seringkali tidak yakin bagaimana menganalisis data dan menginterpretasikan hasilnya. Peserta seringkali mengalami kesulitan dalam menyusun kesimpulan yang logis dan rekomendasi yang relevan. Sedangkan hasil survey setelah pelatihan yaitu peserta menunjukkan peningkatan pemahaman yang signifikan mengenai struktur dan tujuan karya ilmiah. Peserta dapat menyajikan latar belakang penelitian dengan lebih jelas dan koheren setelah pelatihan. Peserta menunjukkan peningkatan kemampuan dalam menyusun desain penelitian dan memilih metode analisis yang tepat. Peserta lebih percaya diri dalam menganalisis data dan menginterpretasikan hasil setelah mengikuti pelatihan.  
PENERAPAN METODE NAIVE BAYES UNTUK KLASIFIKASI KATEGORI OLAH PANGAN (STUDI KASUS DINAS KESEHATAN KOTA PALEMBANG) Ajeng Oktaviyani; Agustina Heryati; M. Fadhiel Alie Alie
AnoaTIK: Jurnal Teknologi Informasi dan Komputer Vol 2 No 1 (2024): Juni 2024
Publisher : Program Studi Ilmu Komputer FMIPA-UHO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33772/anoatik.v2i1.30

Abstract

The Health Department is an integral part of the government structure with broad responsibilities for managing various aspects of health, including daily medical services activities that contribute to maintaining a healthy nutritional balance, reflected in good quality processed foods. Therefore, there is a need for grouping and classifying processed foods. The problem addressed in this research is the difficulty faced by the Palembang Health Department in determining the classification of processed food products. Hence, the researcher employed the Naive Bayes method and RapidMiner Software as supporting software tools in this study. The study found that in Accuracy testing, both RapidMiner and manual Naive Bayes calculations yielded the same result of 94.52% for the positive class: Plant-based. In Precision testing, there was a difference between RapidMiner and manual Naive Bayes calculations, with RapidMiner yielding a higher result of 93.22% for the positive class: Plant-based, while manual Naive Bayes calculation obtained a value of 78%. Similar values were also obtained in Recall testing, where both RapidMiner and manual Naive Bayes calculations yielded the same result of 100% for the positive class: Plant-based. In F1 Score testing, both RapidMiner and manual Naive Bayes calculations yielded the same result of 100%. In RapidMiner's Area Under The Curve (AUC) testing, the result obtained was 0.973 (positive class: Plant-based), and the high accuracy of the ROC/AUC curve indicates "Excellent Classification", suggesting that the use of plant-based food materials dominates over the use of animal-based food materials. It is hoped that the results of this research can assist the Health Department in classifying food processing categories. Keywords : Naive Bayes, Classification, Processed Food, Palembang City Health Department, Food Product Supervision, Food Materials, Animal-based, Plant-based.
Web-Based Patient Service Information System at AL-Furqon Health Clinic, Palembang Arum Adisha Putra Anandez; Agustina Heryati; Abdul Kholik
International Journal of Health Engineering and Technology Vol. 4 No. 5 (2026): IJHESS JANUARY 2026
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhet.v4i5.535

Abstract

AL-Furqon Health Clinic is a healthcare facility committed to providing quality and affordable medical services to the community. However, the manual management of patient data often leads to delays in record-keeping, risk of data loss, and suboptimal service delivery. This study aims to design and develop a web-based patient service information system that supports patient registration, data management, service scheduling, and medical record documentation in an integrated manner at AL-Furqon Clinic Palembang. The system was developed using the Agile method and Unified Modeling Language (UML) modeling to represent system requirements and workflows. The technologies used include JavaScript, MySQL, and XAMPP. This web-based patient service information system integrates and manages registration, reservations, medical records, and service schedules in real-time, providing convenience for patients to access services online and assisting administrators and medical staff in efficiently managing data and services. The research results indicate that the system improves efficiency, accuracy, and speed in managing patient service data. With this system, healthcare services at AL-Furqon Clinic are expected to become more effective and well- structured.
AN ANALYSIS OF FEAR OF MISSING OUT (FOMO) AS A DRIVER OF HOAX DISSEMINATION IN THE PRABOWO ERA USING MLP Saputra, Irfan; Agustina Heryati; Hendra Di Kesuma
Jurnal Kecerdasan Buatan dan Teknologi Informasi Vol. 5 No. 2 (2026): May 2026
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/jkbti.v5i2.444

Abstract

The development of social media over the past decade has accelerated the spread of information, including hoaxes, which impact public perception and political stability. One psychological factor contributing to the impulsive spread of information is Fear of Missing Out (FOMO), defined as the feeling of anxiety experienced when individuals believe they are missing important information or events. This study aims to analyze the relationship between the FOMO phenomenon and the tendency to spread political hoaxes related to the Prabowo administration on social media. The research data was obtained through comment crawling techniques on the TikTok platform and then processed using the following stages: preprocessing text (e.g., cleaning, case folding, tokenizing, filtering, stemming) and labeling of FOMO, Non-FOMO, Hoax, and Non-Hoax classes. The Multi-Layer Perceptron (MLP) model is used to classify user behavior patterns. FOMO plays a role in increasing the spread of fake news in the political sphere, and this demonstrates that a combination of psychological factors and machine learning techniques can help understand the dynamics of disinformation on social media.
ENTERPRISE ARCHITECTURE PLANNING USING TOGAF ADM FOR FUEL DISTRIBUTION OPERATIONS Kaneshia Rahmadina, Putri; Nining Ariati; Agustina Heryati
Jurnal Kecerdasan Buatan dan Teknologi Informasi Vol. 5 No. 2 (2026): May 2026
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/jkbti.v5i2.454

Abstract

PT Dian Aristy Energi Palembang is a company engaged in the distribution of industrial fuel oil (BBM). The current operational processes are still conducted manually and are not integrated, leading to data duplication, reporting delays, low information accuracy, and difficulties in monitoring distribution activities, which affect managerial decision-making. This study aims to develop a strategic Enterprise Architecture plan based on TOGAF ADM to improve the alignment between information systems and fuel distribution operations. The research method used is qualitative descriptive with a case study approach, with data collection techniques including interviews, observations, and documentation. The TOGAF ADM phases applied consist of Preliminary Phase, Architecture Vision, Business Architecture, Information System Architecture, and Technology Architecture. The results of this study produce an Enterprise Architecture design that describes the current condition (AS-IS) and the proposed condition (TO-BE), including business process modeling, data architecture, application architecture, and supporting technology architecture. The proposed design enables the integration of operational processes through digital systems such as purchase order processing, distribution monitoring, and complaint management. This study concludes that the implementation of Enterprise Architecture based on TOGAF ADM can improve operational efficiency, data accuracy, information transparency, and support better decision-making, as well as provide a reference for the development of integrated information systems
INVESTIGATING COMMUNITY READINESS THROUGH IT INFRASTRUCTURE, ONLINE TRANSACTIONS, AND COMMUNITY BEHAVIOR FOR URBAN VILLAGE DIGITAL TRANSFORMATION IN PALEMBANG Inasti, Berliana; Darius Antoni; Agustina Heryati
Jurnal Kecerdasan Buatan dan Teknologi Informasi Vol. 5 No. 2 (2026): May 2026
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/jkbti.v5i2.484

Abstract

The rapid development of information technology has encouraged digital transformation in various sectors, including public administrative services at the urban village level. However, the successful implementation of digital transformation depends not only on government readiness and technological infrastructure but also on the readiness of the community as the primary users of digital services. This study aims to evaluate community readiness toward digital transformation and design a web-based digital administrative service architecture for Sukamaju Urban Village, Palembang City, using the TOGAF ADM framework. The study employed a descriptive quantitative approach involving 395 respondents selected using the Slovin formula with a 5% margin of error. Data were collected through closed-ended questionnaires based on a 5-point Likert scale and analyzed using the E-Readiness approach through three main variables: Information Technology Infrastructure, Online Transactions, and Community Behavior. The results indicate that the Information Technology Infrastructure variable achieved the highest mean score of 4.32 (Very Ready), followed by Community Behavior with a mean score of 4.20 (Ready), and Online Transactions with a mean score of 4.11 (Ready). These findings suggest that the Sukamaju Urban Village community possesses a high level of readiness to support digital transformation in administrative services. Based on these findings, a web-based digital administrative service architecture was proposed using TOGAF ADM phases, including Architecture Vision, Business Architecture, Information Systems Architecture, and Technology Architecture. The proposed system is expected to improve service efficiency, reduce manual administrative processes, and support sustainable digital transformation at the urban village level.
Co-Authors Abdul Kholik Ajeng Oktaviyani Aldri Frinaldi Arum Adisha Putra Anandez Darius Antoni Dio Resta Permana Fauzia Afriyani Hendra Di Kesuma Inasti, Berliana Irfan Saputra Kaneshia Rahmadina, Putri M. Fadhiel Alie Alie nining ariati Try Wulandari