Abstract:Abstract: The implementation of Enterprise Architecture (EA) in Banjarmasin city's tourism sector is essential to improve the effectiveness of information provided to tourists accessing electronic-based services. Unfortunately,…
nately, there are some crucial challenges to the fundamental requirements of EA in the tourism sector. There is still partial implementation, a lack of understanding of the technological advances used in Banjarmasin city tourism promotion, a lack of understanding of the implementation in an application architecture framework design and the technology to be used, not having good documentation in the design of application systems and slow services in tourism promotion. There is no certainty of normative standardization for system development operating procedures. This research aims to design the Zachman Framework (ZF) Application architecture as an Enterprise Architecture Planning (EAP) methodology, to visualize spatial data. This application is designed to assist users in displaying spatial data in the form of interactive maps that can be accessed via the internet. The software development method used is the iterative and incremental method with the Zachman Framework approach to application design. Data was collected through surveys and interviews at the Department of Culture, Youth, Sports and Tourism (DISBUDPORAPAR) of Banjarmasin City, with the current number of tourism data being 55 tourist attractions. This application can later be used to introduce tourist attractions in Banjarmasin City to the wider community, including tourists visiting this city.
Keywords: enterprise architecture (ea), tourism, zachman framework (zf)
Abstrak: Penerapan Enterprise Architecture (EA) disektor pariwisata kota Banjarmasin amatlah penting untuk meningkatkan efektivitas informasi yang diberikan kepada wisatawan yang mengakses layanan berbasis elektronik. Sayangnya, ada beberapa tantangan krusial terhadap persyaratan mendasar EA di sektor pariwisata. Masih ada yang diimplitasikan seara parsial, kurangnya pemahaman dalam kemajuan teknologi yang digunakan pada promosi pariwisata kota Banjarmasin, kurangnya pemahaman akan implimentasi dalam sebuat perancangan kerangka kerja arsitektur aplikasi dan teknologi yang akan digunakan, tidak memiliki dokumentsai yang baik dalam perancangan sistem aplikasi serta pelayanan yang lambat dalam promosi pariwisata. Belum adanya kepastian standarisasi normatif untuk prosedur operasi pengembangan sistem. Penelitian ini bertujuan untuk merancang arsitektur Aplikasi Bakunjangan Zachman Framework (ZF) sebagai metodologi Enterprise Architecture Planning (EAP), untuk memvisualisasikan data spasial. Aplikasi ini dirancang untuk membantu pengguna dalam menampilkan data spasial dalam bentuk peta interaktif yang dapat diakses melalui internet. Metode pengembangan perangkat lunak yang digunakan adalah metode iteratif dan inkremental dengan pendekatan Zachman Framework untuk perancangan aplikasi. Data dikumpulkan melalui survey dan wawancara pada Dinas Kebudayaan, Kepemudaan, Olahraga dan Pariwisata (DISBUDPORAPAR) Kota Banjarmasin, dengan jumlah data pariwisata saat ini yakni 55 tempat wisata. Aplikasi ini nanti dapat digunakan untuk memperkenalkan objek wisata di Kota Banjarmasin kepada masyarakat luas, termasuk wisatawan yang berkunjung ke kota ini.
Kata kunci: enterprise architecture (ea), pariwisata, zachman framework (zf)
Abstract:Coffee businesses in Medan are becoming increasingly competitive. Due to the invention of coffee menus and coffee serving packaging to remain competitive, every coffee shop has a distinct quality. However, choosing the finest…
inest coffee shop remains a challenge for the decision-maker in this scenario, the consumer. Therefore, we need a mechanism to pick which clients or visits to a coffee shop. Clear, simple-to-understand idea-winning tactics make it simple to make decisions that are effective. The efficacy of various choices may be assessed by an efficient computer procedure. The purpose of this study is to use the Visekriterijumsko Kompromisno Rangiranje (Vikor) technique to choose the best coffee shop based on the following criteria: ambience, taste, pricing, diversity of the menu, service, and facilities. The responses of the questionnaire are used to determine the weight gain based on weighing. The option with the lowest value is chosen as the best option when A5 = 0. In other words, alternative A5 was chosen as the spot where coffee is most strongly recommended
Abstract:Automatic text summarization is challenging research in natural language processing, aims to obtain important information quickly and precisely. There are two main approach techniques for text summary: abstractive and extractive…
tractive summary. Abstractive Summarization generates new and more natural words, but the difficulty level is higher and more challenging. In previous studies, RNN and its variants are among the most popular Seq2Seq models in text summarization. However, there are still weaknesses in saving memory; gradients are lost in long sentences so resulting in a decrease in lengthy text summaries. This research proposes a Transformer model with an Attention mechanism that can fetch important information, solve parallelization problems, and summarize long texts. The Transformer model we propose is GPT-2. GPT-2 uses decoders to predict the next word using the pre-trained model from w11wo/indo-gpt2-small, implemented on the Indosum Indonesian dataset. Evaluation assessment of the model performance using ROUGE evaluation. The study's results get an average result recall for R-1, R-2, and R-L were 0.61, 0.51, and 0.57, respectively. The summary results can paraphrase sentences, but some still use the original words from the text. Future work increase the amount of data from the dataset to improve the result of more new sentence paraphrases.
Abstract:Abstrak: Through the library, the advancement of science and information technology also influences societal elements of life. The high level of community production makes it challenging for people to obtain library material…
rial needs, limiting engagement and library use. The Library and Archives Service of North Sumatra Province uses information and communication technology to meet user needs by developing technology-based services that facilitate effective and efficient library activities. Examples of these services include a library service system in a pocket (silapustaku) or online book reservations. To make it simpler to explain how the system functions and is utilized by the community, this study uses UML (Unified Modeling Language) modeling to examine the pocket library service system or online book reservation. A descriptive qualitative approach to the design of the UML system development is the research methodology adopted. The study's findings demonstrate a type of UML modeling design that enables each user to be viewed clearly and understood when utilizing the system. in order to build a library approach with the community and improve library performance via the use of technology.
Keywords: Information System, Online Book Reservation, UML (Unified Modeling Language)
Abstrak : Ilmu pengetahuan yang berkembang serta teknologi informasi yang berkermbang juga mempengaruhi aspek kehidupan di masyarakkat melalui perpustakaan. Perpustakaan dituntut untuk ikut berperan dalam meningkatkan kualitas layanannya dalam memenuhi kenutuhan informasi penggunanyal. dalam memenuhi kebutuhan pemustaka, Dinas Perpustakaan dan Arsip Provinsi Sumatera Utara memberikan inovasi pelayanan dengan pemanfaatan teknologi informasi dan komunikasi dengan menggunakan sistem layanan pustaka dalam saku (silapustaku) atau reservasi buku online sebagai pengembangan layanan berbasisi teknologi dalam proses memudahkan aktifitas perpustakaan yang efektif dan efesien. Penelitian ini bertujuan untuk menganalisis system layanan pustaka dalam saku atau reservasi buku online dengan menggunakan pemodelan UML (Unified Modeling Language) untuk memudahkan dalam memaparkan kerja system dan di gunakan oleh masyarakat. Metode penelitian yang di gunakan merupakan metode pendekatan kualitatif deskriptif dengan perancangan pengembangan system UML. Hasil kajian menunjukkan bentuk rancangan pemodelan menggunakan UML yang memungkinkan setiap pengguna dapat terlihat jelas dan mudah di mengerti dalam menggunakan system. Sehingga penggunaan teknologi mampu meningkatkan kinerja perpustakaan dan menjalin pendekatan perpustakaan dengan masyarakat.
Kata Kunci: Sistem Informasi, Reservasi Buku Online, UML (Unified Modeling Language)
Abstract:Abstract: Generating caption image automatically is one of the challenges in computer vision. This field can be very helpful in many ways, for example search engines. Currently there are many image classification algorithms…
hms that we can use to create a caption image model. In this article, we will compare performance between the Resnet50 and InceptionV3 models for text images. We will use 2000 (1800 train & 200 validation) image data and each image has 5 example captions to train the model. After the model is successfully created, we evaluate the model using 100 images and each image has 5 examples of additional captions that are not used in the training and validation process. The result of this research is that the InceptionV3 model is better than Resnet50. BLEU-1 is 0.53, BLEU-2 is 0.35, BLEU-3 is 0.18, BLEU-4 is 0.09, and METEOR is 0.35 for InceptionV3 model. While Resnet50 model has a value of BLEU-1 is 0.51, BLEU-2 is 0.31, BLEU-3 is 0.16, BLEU-4 is 0.06, and METEOR is 0.33.
Keywords: caption image; inceptionv3; LSTM; resnet50
Abstrak: Membuat gambar teks secara otomatis adalah salah satu tantangan dalam computer vision. Bidang ini bisa sangat membantu dalam banyak hal, misalnya mesin pencari. Saat ini banyak sekali algoritma klasifikasi citra yang dapat kita gunakan untuk membuat model teks citra. Pada artikel ini, kami akan membandingkan performa antara model Resnet50 dan InceptionV3 untuk gambar teks. Kami akan menggunakan 2000 (1800 train & 200 validation) data gambar dan setiap gambar memiliki 5 contoh caption untuk melatih model. Setelah model berhasil dibuat, kami mengevaluasi model menggunakan 100 gambar dan setiap gambar memiliki 5 contoh caption tambahan yang tidak digunakan dalam proses training dan validation. Hasil dari penelitian ini adalah model InceptionV3 lebih baik dibandingkan dengan Resnet50. BLEU-1 0.53, BLEU-2 0.35, BLEU-3 0.18, BLEU-4 0.09, dan METEOR 0.35 untuk model InceptionV3. Sedangkan model Resnet50 memiliki nilai BLEU-1 0.51, BLEU-2 0.31, BLEU-3 0.16, BLEU-4 0.06, dan METEOR 0.33.
Kata kunci: caption image; inceptionv3; LSTM; resnet50
Abstract:Abstract: The poor community is a condition in which the community does not have adequate facilities and infrastructure and an adequate environment, with the quality of housing and settlements far below the eligibility standard…
tandard and uncertain livelihoods covering all multidimensional dimensions. The Pasiran Village Office, Sei Dadap District, is one of the agencies located in the Pasiran area, Sei Kamah. Where the Pasiran Village Hall Office carries out activities to distribute assistance to village communities who are declared to be underprivileged or have low incomes below 3.5 million. With such a large number of village people, an in-depth analysis is needed to determine which poor people are entitled to receive Non-Cash Food Assistance from the government. The solution to this problem is to use data mining with the Naïve Bayes algorithm for data classification. Data mining is the science of extracting information by utilizing data sets to obtain valuable information with a large enough data size through the process of extracting data or filtering data. The classification application uses the naïve Bayes algorithm used at the Pasiran Village Office to produce a classification of beneficiaries, namely Worthy and Unworthy based on the attributes of Citizenship, Family Group, ASN Status, and Having a Healthy Family Card.
Keywords: data mining; naïve bayes; classification, beneficiary
Abstrak: Masyarakat miskin merupakan suatu kondisi dimana keadaan masyarakat yang tidak memiliki sarana dan prasarana serta lingkungan yang memadai, dengan kualitas perumahan dan pemukiman yang jauh dibawah standar kelayakan serta mata pencaharian yang tidak menentu yang mencakup seluruh multidimensi. Kantor Balai Desa Pasiran Kecamatan Sei Dadap merupakan salah satu instansi yang berada di daerah Pasiran, Sei Kamah. Dimana Kantor Balai Desa Pasiran melakukan kegiatan pembagian bantuan terhadap masyarakat desa yang dinyatakan kurang mampu atau memiliki penghasilan rendah dibawah 3,5 juta. Dengan jumlah masyarakat desa yang begitu banyak, diperlukan analisis yang mendalam untuk menentukan masyarakat tidak mampu yang berhak untuk mendapatkan Bantuan Pangan Non Tunai dari pemerintah. Solusi dari permasalahan tersebut adalah menggunakan data mining dengan algoritma naïve bayes untuk klasifikasi data. Data mining merupakan suatu ilmu untuk menggali informasi dengan memanfaatkan kumpulan data untuk mendapatkan berbagai informasi yang berharga dengan ukuran data yang cukup besar melalui proses penggalian data atau penyaringan data. Aplikasi klasifikasi menggunakan algoritma naïve bayes yang terapkan pada Kantor Balai Desa Pasiran menghasilkan klasifikasi warga penerima bantuan yaitu Layak dan Tidak Layak berdasarkan atribut Kewarganegaraan, Golongan Keluarga, Status ASN dan Memiliki Kartu Keluarga Sehat.
Kata kunci: data mining; naïve bayes; klasifikasi, penerima bantuan
Abstract:Abstract: Forecasting sales is one of the challenges in CV. Rabbani Asyisa. This company getting a buildup of product in inventory that makes the company need sales forecasting to avoid the excess of products. Forecasting…
g needs to be followed by measurement of the forecast error rate to determine the accuracy of the prediction forecasting. In this study, the measurement of the forecasting error level in the trend moment method and season index. The study took the data sample from the period of August 2019 to November 2019. The results of error measurement using the trend moment method the value of Mean Absolute Percentage Error (MAPE) is 0.47% and measurements with the influence of the season index the value of Mean Value Absolute Percentage Error (MAPE) is 0.45%.
Keywords: Forecasting; Rabbani; Trend Moment
Abstrak: Melakukan peramalaan penjualan menjadi salah satu tantangan pada CV. Rabbani Asyisa. Perusahaan ini mengalami penumpukan barang pada inventory yang membuat perusahaan membutuhkan peramalan penjualan agar tidak terjadi kelebihan barang. Melakukan peramalan penjualan perlu diikuti dengan pengukuran tingkat kesalahan untuk mengetahui tingat akurasi prediksi dari peramalannya. Pada penelitian ini dilakukan pengukuran tingkat kesalahan peramalan dalam metode trend moment dan indeks musim. Penelitian mengambil sampel data kerudung mulai dari periode Agustus 2019 sampai November 2019. Hasil pengukuran kesalahan dengan metode trend moment nilai Mean Absolute Percentage Error (MAPE) adalah 0.47% dan pengukuran dengan pengaruh indeks musim nilai Mean Absolute Percentage Error (MAPE) adalah 0.45%.
Kata kunci: Peramalan; Rabbani; Trend Moment,
Abstract:PT. Almabrur Nadia Insani Kota Jambi masih menghadapi kendala dalam proses pendaftaran dan pengelolaan data konsumen yang dilakukan secara manual, sehingga menyebabkan pencarian data kurang efektif dan berisiko terjadi kesalahan…
esalahan maupun duplikasi data. Kegiatan magang ini bertujuan untuk menganalisis proses yang berjalan serta merancang sistem informasi pengelolaan data konsumen yang lebih efektif. Metode yang digunakan adalah metode deskriptif dengan pendekatan kualitatif melalui observasi, wawancara, dokumentasi, dan studi pustaka. Perancangan sistem dilakukan menggunakan flowchart dan UML. Hasil kegiatan menunjukkan bahwa sistem yang dirancang mampu membantu pengelolaan data konsumen secara lebih terstruktur, mempercepat pencarian data, serta mendukung pembuatan laporan dengan lebih mudah.
PT. Almabrur Nadia Insani Jambi City still faces challenges in the consumer registration and data management processes, which are carried out manually, resulting in inefficient data retrieval and increasing the risk of errors and data duplication. This internship aimed to analyze the existing processes and design a more effective consumer data management information system. The study employed a descriptive method with a qualitative approach through observation, interviews, documentation, and literature review. The system was designed using Unified Modeling Language (UML). The results indicate that the proposed system can support more structured consumer data management, accelerate data retrieval, and facilitate report generation more efficiently.
Abstract:Kutai Kartanegara Regency, East Kalimantan Province, has long depended on coal mining and petroleum as its primary economic drivers. This dependence creates structural vulnerability to global commodity price fluctuations…
and long-term sustainability challenges. This article presents a systematic literature review examining tourism as an alternative sector for regional economic transformation in Kutai Kartanegara. Drawing on 15 peer-reviewed studies from 2016–2024, the review synthesizes evidence on: (1) the role of tourism-led growth and its multiplier effects on local economies; (2) community-based tourism (CBT) as an inclusive development model; (3) structural transformation theory as a framework for economic diversification; and (4) the specific potentials and constraints facing tourism development in resource-dependent regions. The review finds that tourism exhibits significant forward and backward economic linkages, stimulates SME growth and creative economy, and can meaningfully reduce reliance on extractive industries. Key barriers include infrastructure gaps, limited human resource capacity, and suboptimal governance coordination. The findings provide a theoretical and empirical foundation for the ongoing field research into tourism's transformative role in Kutai Kartanegara's regional economy.
Abstract:Cayenne pepper (Capsicum frutescens L.) is a horticultural commodity with high economic value and continuously increasing market demand. The success of cayenne pepper production is largely determined by vegetative growth…
in the early stages, which is influenced by the availability of nutrients and plant growth regulators. The use of manure as a source of organic matter and natural Plant Growth Regulators (PGRs) is expected to enhance vegetative growth. This study aimed to determine the effect of manure application and natural PGRs on the vegetative growth of cayenne pepper and to identify the treatment that produces the best growth.The research was conducted from December to January 2026 at the land of the Kopbun Suka Tani Sejahtera Business Research Center, Kota Juang District, Bireuen Regency. The study used a factorial Randomized Block Design (RBD) with a 4 × 3 pattern and three replications. The first factor was the dosage of manure consisting of 0 kg (control), 1 kg, 1.5 kg, and 2 kg per plant. The second factor was the type of natural PGR, consisting of shallot extract, rice water, and coconut water. The observed parameters included plant height, number of leaves, leaf width, and number of branches at 15, 30, and 45 days after planting (DAP). Data were analyzed using the F-test and continued with the Honestly Significant Difference (HSD) test at a 5% significance level if the results were significant.The results showed that manure application had no significant effect on all vegetative growth parameters up to 45 DAP. The application of natural PGRs also showed no significant effect at 15, 30, and 45 DAP, as well as on other parameters. There was no significant interaction between manure and natural PGRs on all observed parameters.