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All Journal EKONOMIA TEPIAN Jurnal Agriment KLIK: Kajian Ilmiah Informatika dan Komputer Ilmu Komputer untuk Masyarakat International Journal of Artificial Intelligence in Medical Issues
Rasni Alex
Informatics, Mulawarman University
Agriculture, Biological Sciences & Forestry Computer Science & IT Dentistry Economics, Econometrics & Finance Health Professions Medicine & Pharmacology Public Health Other

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ANALISIS HARGA JUAL BATUBARA PADA PT. BARITO BARA ENERGI DI KALIMANTAN TIMUR -, Rasni Alex
EKONOMIA Vol 3, No 3 (2014)
Publisher : EKONOMIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (317.879 KB)

Abstract

Tujuan penelitian adalah mengetahui dan menjelaskan harga jual batubara PT.  Barito Bara Energi.  Data penelitian dibatasi pada ketersediaan data yang mencakup tahun 2013, yaitu sesuai dengan mulai beroperasinya perusahaan oleh manajemen baru.  Sementara itu lingkup penelitian hanya menyangkut biaya produksi, biaya administasi dan biaya pemasaran yang dikeluarkan perusahaan.  metode analisis yang digunakan adalah: Analisis Break Even Point (BEP), Analisis Contribution Margin, Margin of Safety, dan Perencanaan Laba. Berdasarkan uraian dari pembahasan atas masalah yang telah dikemukakan dapat ditarik kesimpulan sebagai berikut: 1) Hipotesis ditolak, berdasarkan data hasil penjulan batubara pada tahun 2013 menunjukkan adanya penurunan.  Hasil perhitungan menunjukkan bahwa BEP berada pada nilai Rp. 70.185.831.603 sedangkan hasil penjualan diperoleh sebesar Rp. 71.144.312.500,.  karena  nilai volume pendapatan yang dicapai lebih besar dari volume pendapatan pada tingkat break even maka perusahaan mendapatkan margin sebesar Rp. 958.480.897..   Apabila harga jual batubara sebesar US$ 25 per ton atau Rp. 237.500,00, maka volume produksi pada BEP sebesar 295.518 metric ton. 2) Guna menghindari terjadinya kerugian maka tingkat pendapatan tidak boleh turun lebih besar dari angka Margin of Safety. Hal ini berarti bahwa apabila penurunan pendapatan tidak lebih besar dari angka Margin of Safety dari pendapatan yang direncanakan maka perusahaan masih dapat memperoleh keuntungan. 3) Apabila perusahaan ingin mencapai target laba sebesar 30%, diharapkan tersebut perusahaan harus mampu mencapai volume sebesar Rp. 220.706.175.583
Decision Support System on Grass Selection for Gardening Creation Using Multi-Objective Optimization on The Basis of Ratio Analysis (MOORA) Indah Fitri Astuti; Naufal Najib; Rosmasari; Dedy Cahyadi; Rasni Alex; Awang Harsa Kridalaksana
TEPIAN Vol. 4 No. 4 (2023): December 2023
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v4i4.2961

Abstract

Grass is a one-piece plant with thin, tapering leaves that grow from the base of the stem. Grass is one of the most common types of plants on earth, but not all types are the same. Some need regular care, while others can grow without ever being touched. There are various types of grass, but only a few types of grass are suitable as ornamental plants. Currently, garden construction service providers still use a manual system to determine the type of grass, so errors can occur, resulting in damage to the garden and a decrease in the artistic value and selling price of the grass. A technology can help determine the type of grass for making a garden, namely a decision support system. This system was built on a web basis using the Multi-Objective Optimization on the Basis of Ratio Analysis method to recommend types of grass for making gardens. This research uses 17 types of grass as alternative data and five selection criteria, namely leaf shape, growth rate, weather resistance, leaf color, care, leaf texture and price per meter. This method's research shows Japanese grass as the best alternative with the highest optimization value, namely -0.02499. The results of system validation using the Confusion Matrix method to compare system calculations with manual calculations obtained an accuracy value of 71%.
Decision Support System for Wedding Package Using Multi-Objective Optimization of Ratio Analysis Method Indah Fitri Astuti; Awang Harsa Kridalaksana; Rasni Alex; Dewi Fitri; Dedy Cahyadi; Aulia Khoirunnita
TEPIAN Vol. 5 No. 2 (2024): June 2024
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v5i2.2995

Abstract

Some   of the problems in preparing a wedding day are determining the venue, event concept, concept and others are very time-consuming. Wedding organizers are an option to overcome these problems; one of the wedding organizers in Samarinda is Galeri Shella, which has various wedding packages with facilities and prices, making it difficult for brides-to-be. To make it easier to make the right wedding package decision, a decision support system is made. The decision aims to provide wedding package recommendations with criteria that can be chosen by the bride and groom and their budget. The method used in this system is Multi-Objective Optimization of Ratio Analysis (MOORA) using six criteria catering, venue, decoration, documentation, makeup and price, as a reference calculation that can produce the best wedding package recommendations according to the wishes of the bride and groom. The research results show that the system functions well, is easy to use, and makes it easier for brides to choose wedding packages. From the results of accuracy testing, it is known that the results of manual calculations and the system make no difference, and this study obtained an accuracy value of 100%.
The Bajau-Tainment: An AI-Powered Puzzle Game for Learning the Bajau Language Using Finite State Machine and Shuffle Techniques Aulia Khoirunnita; Rasni Alex; Rosmasari Rosmasari
TEPIAN Vol. 5 No. 3 (2024): September 2024
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v5i3.3140

Abstract

The research titled "Bajau-tainment" Educational Game (Edu-game) is a research project that focuses on the development of a Puzzle Game designed to improve memory, specifically in language learning. In this game, players must arrange randomized letters to form a word in the Bajau language. This research applies the shuffle random algorithm, which aims to ensure that the arrangement of letters is always shuffled, making the gameplay dynamic, non-monotonous, and engaging. AI Artificial Intelligence (AI) technology will also be applied in this research. Using the Finite State Machine (FSM) model method, the game will feature a game agent character that will accompany children during gameplay, like how a friend accompanies students in a classroom. This virtual friend can display emotions such as happiness or sadness based on the game environment. The research aims to make this edu-game more appealing and interactive for children. The AI game agent will act as a friend who accompanies the child throughout the game.
Sistem Pendukung Keputusan Menentukan Sales Terbaik Menerapkan Metode Simple Additive Weighting Rasni Alex; Muh. Jamil
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v5i1.1951

Abstract

In this research, the author uses the SAW (Simple Additive Weighting) Method to determine the best salesperson at company. The SAW method is considered appropriate because it performs a weighted sum of the performance ratings for each alternative on all attributes. This research involves structured steps, starting with determining criteria, alternatives and weights that are relevant to the company context. The next process involves matrix preparation, normalization, and preference calculation. First of all, significant criteria for assessing sales performance have been determined. The sales alternatives to be evaluated have also been identified, and the weight given to each criterion is according to its importance in the company context. Then, a matrix containing sales performance data is created for the next calculation process. Each value in the matrix is normalized so that it can be compared fairly. After the normalization process is complete, the next step is to calculate preferences for each sales alternative. This involves multiplying each normalized value by the appropriate weight, then adding them to get a total preference value for each alternative. From these results, the best alternative is determined through a ranking process. The research results show that the 6th alternative, represented by Rahman Rianto, has the highest score with 0.879, making it the best seller. These recommendations are based on detailed analysis using the SAW Method, which provides valuable insight for company management in making decisions regarding the assessment and development of their sales performance. Thus, this research not only provides an understanding of the best sales performance, but also provides a strong foundation for sustainable decision making in the context of this company.
Digitalisasi Pelayanan Administrasi Desa Menggunakan Website E-surat Pada Desa Handil Terusan Rosmasari, Rosmasari; Nanda, Arya; Jamil, Muh; Khoirunnita, Aulia; Alex, Rasni
Ilmu Komputer untuk Masyarakat Vol 5, No 2 (2024)
Publisher : Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkomas.v5i2.2525

Abstract

Teknologi telah mengubah lanskap pelayanan publik dengan memberikan solusi efisien dan tepat waktu. Salah satu tantangan yang dihadapi Kantor Desa Handil Terusan adalah proses manual pembuatan surat keterangan yang mengalami berbagai kendala, seperti keterbatasan waktu pelayanan, kurangnya informasi dokumen yang diperlukan, dan masalah ketidakhadiran perangkat desa. Untuk mengatasi masalah ini, penulis merencanakan pengembangan sistem informasi berbasis web dengan menerapkan Metode WDLC. Sistem ini dirancang untuk memberikan solusi yang lebih optimal dengan meningkatkan kemudahan, akurasi, dan kecepatan dalam pelayanan penduduk. Dengan implementasi sistem berbasis web, pemohon kini dapat mengakses layanan surat keterangan dari berbagai lokasi tanpa harus datang ke kantor desa secara fisik. Selain itu, sistem ini menyediakan informasi yang jelas mengenai dokumen yang diperlukan, meningkatkan efisiensi pelayanan, dan meminimalkan waktu tunggu pemohon. Dokumentasi perancangan sistem meliputi model interaksi objek dalam diagram sequence, model objek dalam diagram kelas, diagram usecase, rancangan basis data, dan rancangan antarmuka. Hasil pengujian sistem dengan metode Black box menunjukkan persentase keberhasilan fungsional sebesar 100% dari 7 responden karena tidak ditemukan error, sehingga dapat disimpulkan bahwa aplikasi yang telah dibuat dapat berjalan dengan baik dan efektif mengatasi kendala yang ada. Dengan demikian, implementasi teknologi dalam pelayanan publik di Kantor Desa Handil Terusan diharapkan dapat meningkatkan kualitas hidup masyarakat dan efisiensi operasional instansi pemerintah
Classification of Multi-Region Bone Fractures from X-ray Images Using Transfer Learning with ResNet18 Alex, Rasni; Rosmasari
International Journal of Artificial Intelligence in Medical Issues Vol. 3 No. 1 (2025): International Journal of Artificial Intelligence in Medical Issues
Publisher : Yocto Brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijaimi.v3i1.249

Abstract

Fracture detection in radiographic images is a critical task in orthopaedic diagnostics, often requiring timely and accurate interpretation by medical professionals. However, manual evaluation of X-rays is time-consuming and prone to subjective bias. This study proposes an automated deep learning approach for binary classification of bone fractures using a pre-trained ResNet18 architecture. The model was trained and validated on a multi-region X-ray dataset consisting of 10,580 images categorized into fractured and non-fractured classes. To improve generalization, data augmentation techniques such as rotation and horizontal flipping were applied during pre-processing. The final model achieved a validation accuracy of 97.59%, with high true positive and true negative rates as confirmed by the confusion matrix analysis. The results demonstrate the effectiveness of transfer learning in handling radiographic image classification tasks while maintaining computational efficiency. This research contributes to the development of reliable and scalable computer-aided diagnostic tools that can support clinical decision-making, especially in environments with limited resources.
Development of a Microservices-Based Geographic Information System for Mapping Flora and Fauna in Kutai National Park Alex, Rasni; Sari, Nur Maulida; Khoirunnita, Aulia; Astuti, Indah Fitri; Cahyadi, Dedy; Kridalaksana, Awang; Khamidah, Ida Maratul
JURNAL AGRIMENT Vol. 10 No. 1 (2025): Juni 2025
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/jurnalagriment.v10i1.3308

Abstract

Kutai National Park serves as a vital habitat for diverse flora and fauna, yet the park faces challenges in achieving comprehensive and efficient mapping of its biodiversity. In alignment with the 2019–2029 Long-Term Management Plan, which prioritizes completing a robust mapping system, this study proposes the development of a Geographic Information System (GIS) based on a microservices architecture. The system aims to streamline data management and support area conservation efforts. Utilizing the Extreme Programming methodology, the project leverages React JS for the web interface, React Native for mobile applications, and MongoDB for database management. System testing incorporates Postman for microservices, Selenium for web applications, and Black-Box testing for mobile apps. Feasibility evaluations use Equivalence Partitioning and the Mean Opinion Score (MOS) method, reflecting high acceptance among staff (71% Strongly Agree, 29% Agree) and visitors (47.9% Strongly Agree, 43% Agree, 3.8% Neutral). The results demonstrate the system's potential to enhance biodiversity management while fostering stakeholder engagement in conservation initiatives
Co-Authors Aulia Khoirunnita Aulia Khoirunnita Awang Harsa Kridalaksana Awang Harsa Kridalaksana Dedy Cahyadi Dedy Cahyadi Dedy Cahyadi, Dedy Dewi Fitri Ida Maratul Khamidah Indah Fitri Astuti Indah Fitri Astuti, Indah Fitri Jamil, Muh Khoirunnita, Aulia Kridalaksana, Awang Muh. Jamil Nanda, Arya Naufal Najib Rosmasari Rosmasari Rosmasari Rosmasari Rosmasari Rosmasari, Rosmasari Sari, Nur Maulida