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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Teknologi Informasi dan Ilmu Komputer Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer JURNAL REKAYASA TEKNOLOGI INFORMASI Prosiding SAKTI (Seminar Ilmu Komputer dan Teknologi Informasi) Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan Sains, Aplikasi, Komputasi dan Teknologi Informasi Journal of Computer Science and Engineering (JCSE) PLAKAT : Jurnal Pelayanan Kepada Masyarakat
Fahrul Agus
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Aerospace Engineering Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Mechanical Engineering Social Sciences

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Rancang Bangun Radio Streaming Berbasis Android Rahmania Hatta, Heliza; Gusfiannur; Agus, Fahrul
Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan Vol. 6 No. 2 (2015): Oktober, 2015
Publisher : FT- UNDAR

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Abstract

Secara konvensional radio merupakan sebuah teknologi yang digunakan untuk pengiriman sinyal informasi dengan cara modulasi dan radiasi gelombang elektromagnetik. Gelombang ini melintas dan merambat melalui udara. Dengan demikian radio konvensional memiliki keterbatasan dalam hal jangkauan penyiaran. Hal inilah yang mengawali perubahan teknologi radio agar dapat didengar di berbagai tempat secara langsung. Audio streaming merupakan solusi yang tepat untuk mengatasi keterbatasan ini. Melalui media streaming, sebuah radio dapat memperluas jangkauan siarannya dengan memanfaatkan kemudahan teknologi internet. Teknologi streaming mampu mengkompresi atau menyusutkan ukuran file sehingga dapat dengan mudah ditransfer melalui jaringan internet. Sehingga radio dapat memanfaatkan teknologi ini untuk mentransmisikan siarannya agar dapat didengar di seluruh jaringan internet di dunia. Tujuan penelitian ini adalah membangun server radio streaming dan klien radio streaming berbasis Android yang diharapkan dapat membantu member Tangan di Atas Samarinda untuk mengetahui berbagai ilmu tentang wirausaha. Selain itu juga untuk media promosi produk member Tangan di Atas Samarinda. Metode perancangan yang digunakan adalah menggunakan permodelan UML. Penelitian ini telah menghasilkan server radio streaming dan klien radio streaming berbasis Android. Aplikasi radio streaming “TDA Samaradio” berbasis Android ini diharapkan dapat menjadi media berbagi informasi yang dapat membantu member untuk lebih mengenal Tangan di Atas Samarinda
Comparison of Moora and Waspas Methods for Recommendations of Cayenne Pepper Seeds Wardani, Agus Tri; Hamdani, Hamdani; Agus, Fahrul
Journal of Computer Science and Engineering (JCSE) Vol 5, No 2: August (2024)
Publisher : ICSE (Institute of Computer Sciences and Engineering)

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Abstract

Multiple Criteria Decision Making (MCDM) encompasses several methodologies, including MOORA and WASPAS. These strategies demonstrate unique approaches and produce varying results. The main aim of this work is to provide a comparative analysis of the MOORA and WASPAS procedures. To achieve this objective, we conduct a detailed analysis that specifically examines five parameters related to cayenne pepper seeds: prospective crop yields, optimal harvesting time, recommended conditions for highland cultivation, weight of 1000 seeds, and plant height. The study utilizes the sensitivity test approach in a comparative analysis framework to ascertain the superior method. The computations using both the MOORA and WASPAS methods determine that the Bisi Hp 35 (A3) alternative is the best choice. This alternative has a MOORA preference value of 0.1463, while the WASPAS approach gives it a preference value of 0.8374. Next, we perform a sensitivity test by increasing the weight criteria for each criterion by 0.5 and 1. The sensitivity analysis indicates that the MOORA approach has a level of 380, whereas the WASPAS method has a level of 376. The data suggest that the MOORA method is more effective than the WASPAS method when it comes to making recommendations for cayenne pepper seeds.
Expert System for Early Detection of High-Risk Pregnancy Conditions Using Certainty Factor and Forward Chaining Methods Agus, Fahrul; Vadlisky, Febria Dwi; Hamdani, Hamdani
Journal of Computer Science and Engineering (JCSE) Vol 6, No 1: February (2025)
Publisher : ICSE (Institute of Computer Sciences and Engineering)

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Abstract

The maternal mortality rate is the proportion of deaths that occur during pregnancy due to disorders that specifically impact the uterus. Experts attribute the high number to a lack of knowledge and delays in its management. Samarinda, located in East Kalimantan, has the second highest mortality rate, following Kutai Kartanegara. Hence, the implementation of an early detection system is important to effectively address this issue. The objective of this study is to develop an expert system that utilizes the certainty factor technique to identify high-risk factors in pregnant women before delivery. This study identified three high-risk conditions in pregnant women: preeclampsia, gestational diabetes mellitus (GDM), and constipation. There are a total of 22 symptoms associated with each condition, and for each disease, there are three distinct treatment options available. An expert in the field of obstetrics and gynecology provided the research data. The research yields an expert system that demonstrates accuracy by comparing 10 test data sets from both human experts and computing systems. The system achieved a 90% accuracy rate. Through the use of an expert system methodology, we expect this system to be a valuable resource for pregnant women and healthcare professionals seeking early detection of high-risk diseases in pregnant women.
Peningkatan Kemampuan Analisis Statistik Kuantitatif Pada Riset Eksperimen Dengan Metode Workshop Agus, Fahrul; Putra, Gubtha Mahendra; Kamil, Zanu Alfandi; Arifin, Iswanto; Gifari, Okta Ihza
Plakat : Jurnal Pelayanan Kepada Masyarakat Vol 4, No 2 (2022): Volume 4, Nomor 2 Desember Tahun 2022
Publisher : Fakultas Ilmu Sosial dan Ilmu Politik, Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/plakat.v4i2.8954

Abstract

Riset merupakan kegiatan akademik yang wajib dilakukan oleh mahasiswa tugas akhir di Program Studi Informatika, Fakultas Teknik Universitas Mulawarman, Samarinda Kalimantan Timur. Riset eksperimen memerlukan pengetahuan dan pemahaman yang kuat di bidang Statistik. Pelajaran Matematika dan Statistika termasuk materi yang sulit dipahami di kalangan mahasiswa di beberapa perguruan tinggi. Pelatihan atau workshop ini betujuan untuk melakukan penguatan kembali (recharging) serta peningkatan pengetahuan peserta tentang ilmu pengetahuan, konsep dan aplikasi Statistik Kuantitatif untuk riset eksperimen. Pelatihan dilakukan dengan cara pembelajaran secara langsung di dalam kelas. Monitoring pelatihan dilakukan dengan observasi selama kegiatan berlangsung, sedangkan evaluasi dilakukan melalui survey kepada peserta. Bobot penilaian oleh peserta terhadap materi, narasumber, fasilitas pelatihan dan peningkatan kemampuan diukur dengan Skala Likert. Pelatihan dilaksanakan dengan 38 peserta dan observasi monitoring menunjukkan dinamika peserta dan fasilitator yang aktif dan lancar. Hasil evaluasi kegiatan pelatihan menunjukkan materi, narasumber, fasilitas pelatihan dan peningkatan kemampuan telah memenuhi kebutuhan peserta dengan persentase rata-rata sebesar 99.7%. Evaluasi juga menunjukkan bahwa sebesar 64% peserta menyatakan peningkatan pengetahuan yang sangat tinggi, 31% menilai tinggi dan 5% menyatakan sedang. Students in the Department of Informatics at the Faculty of Engineering, Mulawarman University, Samarinda, East Kalimantan, are required to conduct research for their final project. Strong statistical expertise and understanding are necessary for conducting experimental research. Many universities' students report having trouble understanding math and statistics classes. The purpose of this training is to deepen and broaden participants' understanding of scientific principles and the uses of quantitative statistics in experimental research. Direct learning takes place during the training in the classroom. Evaluation of training is done through surveys given to participants, while monitoring is done by observing during the activity. A Likert Scale was used to gauge how seriously the participants took the content, resource people, training facilities, and capacity building. 38 people attended the training, and monitoring observations revealed the dynamics of fluent and active participants and facilitators. According to the findings of the evaluation of training activities, an average percentage of 99.7% of the participants' needs were met by the training materials, resource people, training facilities, and capacity building. Additionally, the evaluation revealed that 64% of participants rated the level of knowledge gain as very high, 31% as high, and 5% as moderate.
Analisis Kualitas Sarang Burung Walet Menggunakan Metode Fuzzy Tsukamoto Agus, Fahrul; Sulfika, Ega; Mahendra Putra, Gubtha
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 12 No 2: April 2025
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2025129441

Abstract

Indonesia menjadi salah satu negara yang menghasilkan dan mengekspor sarang burung walet terbesar di dunia. Sarang burung walet memiliki banyak sekali manfaat, itu sebabnya tren ekspor sarang burung walet meningkat. Kualitas yang baik dapat mempengaruhi daya saing produk, harga jual, manfaat kesehatan yang dihasilkan, serta kepuasan konsumen. Selama ini pembeli masih melakukan klasifikasi kualitas sarang burung walet secara manual berdasarkan perkiraan pembeli sehingga dapat menimbulkan kesalahan pada saat melakukan penyortiran dan menyebabkan kerugian sehingga menurunkan nilai jual. Logika fuzzy digunakan untuk mengantisipasi hal tersebut karena dapat memberikan toleransi terhadap suatu nilai sehingga perubahan kecil pada nilai tidak akan memberikan dampak yang signifikan. Tujuan penelitian ini menerapkan metode fuzzy tsukamoto untuk menganalisis kualitas sarang burung walet. Data yang digunakan sebanyak 100 data sarang burung walet yang diperoleh pada 16 Oktober 2023. Proses penentuan kualitas sarang burung walet berdasarkan 5 variabel kriteria input yaitu warna, bulu, jenis, kondisi, dan kadar air. Output fuzzy terdiri dari 3 kategori kualitas Sangat Bagus, Bagus, dan Tidak Bagus. Hasil perhitungan fuzzy tsukamoto dengan data aktual terdapat 3 data sarang burung walet berbeda dari 100 data sarang burung walet dengan memiliki nilai akurasi sebesar 97%.   Abstract   Indonesia is a leading global producer and exporter of the largest quantity of swallow's nests. Swallow's nest consumption offers numerous advantages, which explains the growing trend of exporting this valuable commodity. The quality of a product can have a significant impact on its competitiveness, selling price, health benefits, and consumer happiness. Currently, buyers continue to manually assess the quality of swallow nests, relying on their estimations. However, this method is prone to errors throughout the sorting process and can result in financial losses that diminish the overall sales value. We employ fuzzy logic for prediction purposes because it allows for tolerance towards a value, thereby minimising the influence of minor fluctuations in the value. The goal of this study is to use the Tsukamoto fuzzy method to evaluate the quality of swallow nests. The dataset consisted of 100 samples of swallow nests collected on October 16, 2023. The evaluation of swallow nests' quality relies on five input criteria variables, specifically colour, feathers, type, condition, and water content. The fuzzy output comprises three quality categories: very good, sound, and not good. The fuzzy Tsukamoto calculation yielded three distinct samples out of a total of 100, with an accuracy rate of 97%.
Co-Authors A., Amelia Alfirama, Dandhi Noufal Arifin, Iswanto AW., Sawung Awang Harsa Kridalaksana Dedy Cahyadi Dedy Fuadi, Dedy Dyna Marisa Khairina Gifari, Okta Ihza Gusfiannur Hamdani . Hamdani Hamdani Haviluddin Haviluddin Heliza Rahmania Hatta, Heliza Rahmania Hendra Saputra Indah Fitri Astuti, Indah Fitri Ismail Ismail Jimi, Jimi Kamil, Zanu Alfandi kusnandar kusnandar Mahendra Putra, Gubtha Mahfud Iman Muhamad Azhari Nasution, Ali Napiah Nasution, Annio Indah Lestari Putra, Gubtha Mahendra Rahmania Hatta, Heliza Ramadiani - Rosmasari Rosmasari, Rosmasari S., Wardana Septya Maharani, Septya Sulfika, Ega Taruk, Medi Vadlisky, Febria Dwi Wardani, Agus Tri Wiwik Anisiyah Yona Widya Sabrina Suprihatini Yunizar Fahmi Badron, Yunizar Fahmi