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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Techno: Jurnal Penelitian Jurnal Teknologi Informasi dan Ilmu Komputer Infotech Journal KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Jurnal CoreIT SMARTICS Journal Technologia: Jurnal Ilmiah JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) Indonesia Berdaya Batara Wisnu : Indonesian Journal of Community Services Jurnal Pengabdian Ilung (Inovasi Lahan Basah Unggul) JUSTE (Journal of Science and Technology)

Wijaya, Eka Setya

Universitas Lambung Mangkurat

Author-ID : 2454583

Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

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ANALISIS PERBANDINGAN KINERJA ANTARA MEDIA KABEL SERAT OPTIK DENGAN KABEL TEMBAGA PADA ROUTER MIKROTIK Eka Setya Wijaya
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 3 No. 2 (2018)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Kabel kawat tembaga dan kabel serat optik adalah dua media komunikasi yang banyak digunakan dalam membangun jaringan komunikasi data di era modern saat ini. Untuk administrator jaringan, memilih jenis kabel yang tepat dalam mem-bangun jaringan adalah suatu keharusan. Beberapa faktor, baik internal maupun eksternal dapat mempengaruhi kinerja peralatan jaringan. Dalam penelitian ini dilakukan analisis komparatif tentang perbedaan kinerja antara penggunaan kabel serat optik dan kabel kawat tembaga yang mampu mentransfer data 1 Gigabit per detik. Analisis pengukuran kinerja mencakup kemampuan untuk mentransfer data dari dua node seperti latensi, throughput, dan packet loss. Untuk pengujian latency dan throughput dilakukan dengan mengirimkan sebanyak 65.000 data untuk 30 kali untuk setiap media. Sedangkan untuk paket loss testing dilakukan dengan mengirimkan 10.000 data dalam 1 menit menggunakan bandwidth uji pada router Mikrotik. Dari hasil pengujian, dapat dilihat bahwa terdapat perbedaan kestabilan kinerja kabel kawat tembaga dan kabel serat optik. Semakin tinggi suhu udara, packet loss, dan latency akan meningkat. Adapun nilai throughput, suhu hanya mempengaruhi nilai throughput pada kabel serat optik dan tidak mempengaruhi throughput pada kabel kawat tembaga.

PSO optimization on backpropagation for fish catch production prediction Yuslena Sari; Eka Setya Wijaya; Andreyan Rizky Baskara; Rico Silas Dwi Kasanda
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 2: April 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i2.14826

Global climate change is an issue that is enough to grab the attention of the world community. This is mainly because of the impact it has on human life. The impact that is felt also occurs in waters on the South Kalimantan region. This is of course can disrupt the productivity of fish in the marine waters of South Kalimantan. This study aims to make fish catch production prediction models based on climate change in the South Kalimantan Province because the amount of productivity of marine fish has fluctuated. This study uses climate data as input and fish production as output which is divided into two, namely training and testing data. Then the prediction is conducted using Backpropagation method combined with Particle Swarm Optimization method. The results of the study produced a prediction model with RMSE of 0.0909 with a combination of parameters used, namely, C1: 2, C2: 2, w: 0.7, learning rate: 0.5, Momentum: 0.1, Particles: 5, and epoch: 500. While the model used when predicting testing data produces RMSE of 0.1448.

Optimasi Penjadwalan Mata Kuliah Menggunakan Metode Algoritma Genetika dengan Teknik Tournament Selection Yuslena Sari; Muhammad Alkaff; Eka Setya Wijaya; Syarifah Soraya; Dany Primanita Kartikasari
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 6 No 1: Februari 2019
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

AbstrakBagi sebuah perguruan tinggi, penjadwalan perkuliahan merupakan suatu kegiatan yang sangat penting untuk dapat terlaksananya proses belajar mengajar yang baik. Dimana dalam proses belajar mengajar dapat dilakukan oleh semua pihak yang terkait, bukan hanya bagi dosen yang mengajar, tetapi juga bagi mahasiswa yang mengambil mata kuliah. Dalam penyusunan jadwal, ada beberapa variabel yang mempengaruhi yaitu: ruangan yang tersedia, jumlah mata kuliah yang diselenggarakan, waktu yang ada dan ketersediaan dosen yang mengajar. Oleh karena itu tujuan dari penelitian ini adalah merancang suatu sistem yang dapat membuat atau menyusun jadwal perkulihaan secara teroptimasi. Metode dalam proses pembuatan jadwal perkuliahan secara otomatis pada penelitian ini menggunakan metode algoritma genetika dengan teknik seleksi turnamen. hasil pengujian sistem dapat memberikan kemudahan dan kecepatan kepada user atau Program Studi Teknologi Informasi dalam proses pembuatan atau penyusunan jadwal untuk perkuliahan, yaitu hanya diperlukan waktu sekitar 14,7 menit dibandingkan dengan proses manual yang memerlukan waktu sekitar 2 (dua) hari.AbstractFor a college, the university course timetabling is is an activity that’s very important for the implementation of good teaching and learning process. In teaching and learning process can be done by all related parties, not only for Lecturers who teach, but also for students who take the course. In the preparation of the schedule, there are several variables that affect the: the available space, the number of courses held, the time available and the availability of lecturers who teach. Therefore, the purpose of this research is to design a system that can create or arrange optimization schedule optimally. Methods in the process of making university course timetabling automatically in this study using genetic algorithm method with tournament selection.

PROTOTYPE MONITORING SUHU BERBASIS MIKROKONTROLER PADA COOL BOX IKAN MENGGUNAKAN SENSOR DS18B20 DENGAN METODE FUZZY Eka Setya Wijaya; Muti`a Maulida; Yuslena Sari; Andreyan Rizky Baskara; Akhmad Rivaldy
KLIK- KUMPULAN JURNAL ILMU KOMPUTER Vol 7, No 3 (2020)
Publisher : Lambung Mangkurat University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/klik.v7i3.343

Often fish supply in to the consumers need long relatives distance and much time. Meanwhile the consumers always want fresh fish. The problem occurred was broken stock of fresh fish in every shipping and happened almost all the time. It made fish became stale and made supplier got lose. The study was took place in Batulicin Simpang Empat in a harbor (Pelelangan Pembongkaran Ikan) until now the handling of fish catches generally used ice block in the usual cool box. Using ice block is one of easiest method. Although, using ice block only could maintain low temperature in short time whereas the ideal temperature of cool box should be 10 Celsius measured by usual temperature’s device room. In shipping process, the driver unpack the cool box to checked temperaturemanually. This matter waste time and cost because the driver should provide extra ice block to maintain low temperature of cool box. In order to resolve the problem, monitoring could be done automatically by using a microcontroller chip in the cool box with DS18B20 censor and fuzzy methodbase microcontroller. The purpose was supplier could be helped to monitoring the stabilities of cool box temperature used website. This system is made by computerization. It would make supplier job easier because driver able to check fish condition without unpack the cool box and made time, energy and cost more efficient.Keywords: Temperature Censor, Fish cool box microcontroller, Fuzzy method, and websiteSeringkali dalam penyuplaian ikan kepada konsumen membutuhkan jarak dan waktu yang relatif panjang, sedangkan konsumen selalu mengharapkan ikan segar. Permasalahan besar yang dihadapi dalam produksi ikan segar, yaitu persediaan yang rusak (broken stock) dalam jumlah yang banyak, sehingga jumlah ikan yang membusuk menjadi berlebihan dan akhirnya mengalami kerugian. Di Batulicin Simpang Empat, tempat dilakukanya penelitian, tepatnya di pelabuhan PPI (Pelelangan Pembongkaran Ikan), penanganan hasil tangkapan ikan saat ini masih menggunakan pendinginan es batu di dalam cool box biasa. Penggunaan es merupakan salah satu cara yang paling mudah dilakukan. Akan tetapi, pendinginan dengan menggunakan es batu hanya dapat mempertahankan suhu rendah dalam waktu yang singkat sedangkan suhu ideal dari dalam cool box adalah 10 C yang diukur dengan menggunakan alat suhu ruangan biasa. Jadi, saat perjalanan driver akan membongkar muatan dan mengecek apakah suhu turun atau tidak secara manual. Hal ini sangat memakan waktu dan biaya karena supplier selalu membawa cadangan es untuk berjaga-jaga jika suhu turun didalam cool box tersebut. Untuk mengatasi permasalahan di atas, monitoring dapat dilakukan secara otomatis dengan memanfaatkan sebuah chip mikrokontroler pada cool box dengan sensor DS18B20 bersama metode fuzzy berbasis mikrokontroler. Tujuannya agar supplier dapat terbantu untuk memonitoring kestabilan suhu cool box dengan menggunakan website. Karena sistem dibuat terkomputerisasi maka akan memudahkan kinerja dari supplier atau driver sehingga driver dapat memonitor kondisi ikan di dalam cool box tanpa harus membongkar muatan dan hal ini dapan mengefisiensikan waktu, tenaga, dan biaya karena suhu cool box tetap terjaga dengan baik dan mudah.Kata kunci: Sensor Suhu, Mikrokontroler Cool Box Ikan, Metode Fuzzy, dan website

DETEKSI IKAN TONGKOL BERFORMALIN BERDASARKAN CITRA MATA IKAN DENGAN METODE NAÏVE BAYES CLASSIFIER Mutia Maulida; Eka Setya Wijaya; Muhamad Reza Anwar
KLIK- KUMPULAN JURNAL ILMU KOMPUTER Vol 8, No 3 (2021)
Publisher : Lambung Mangkurat University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/klik.v8i3.405

Tuna is a fish that Indonesian people widely consume, but formalin is often given as a preservative because the freshness level does not last long. It is difficult for the community to determine formalin or non-formalin fish with the circulation of formulated fish. Detection at the Center for Drug and Food Control (BBPOM) Banjarmasin still has to be brought to the laboratory to be tested for formalin content, and it takes about one day to find out the test results. With a system that can detect formalin tuna, it is hoped to help the community solve this problem. In this study, the HSV method was used by looking at the eye color of the fish and classification using the Naive Bayes Classifier method. Based on the results of tests carried out on the formalized tuna detection application based on fisheye images using the Android-based Naive Bayes Classifier method, it was concluded that the results obtained an accuracy from the test of 80%.Keywords: tuna, formalin, hsv, nave bayes classifier, android Ikan tongkol adalah ikan yang banyak dikonsumsi masyarakat indonesia, namun biasanya sering diberikan formalin sebagai bahan pengawet karena tingkat kesegarannya tidak tahan lama. Dengan adanya peredaran ikan berformalin tersebut membuat masyarakat kesulitan dalam menentukan ikan berformalin atau tidak berformalin. Pendeteksian di Balai Besar Pengawas Obat dan Makanan (BBPOM) Banjarmasin juga masih harus dibawa terlebih dahulu ke laboratorium untuk di uji kandungan formalinnya dan dibutuhkan waktu sekitar 1 hari dalam mengetahui hasil ujinya. Dengan adanya sistem yang dapat mendeteksi ikan tongkol berformalin diharapkan dapat membantu masyarakat menyelesaikan masalah tersebut. Pada penelitian ini digunakan metode HSV dengan melihat warna mata ikan dan klasifikasi dengan metode Naive Bayes Classifier. Berdasarkan hasil pengujian yang telah dilakukan pada aplikasi deteksi ikan tongkol berformalin berdasarkan citra mata ikan menggunakan metode Naive Bayes Classifier berbasis android, diperoleh kesimpulan bahwa dari pengujian didapatkan hasil akurasi sebesar 80%.Kata kunci: ikan tongkol, formalin, hsv, naïve bayes classifier, android

Zakat Classification with Naïve Bayes Method in BAZNAS Yuslena Sari; Muhammad Alkaff; Eka Setya Wijaya; Gusti Nizar Syafi'i
TECHNO: JURNAL PENELITIAN Vol 10, No 1 (2021): Techno Jurnal Penelitian
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/tjp.v10i1.2750

The National Amil Zakat Agency (BAZNAS) of the Banjar Regency, is the regional Zakat Management Agency of the Banjar Regency. BAZNAS Banjar Regency distributes the required alms according to the target to mustahik that is under the criteria or following the provisions of the Shari'a. However, BAZNAS often experiences difficulties in determining mustahik (people who are entitled to receive zakat) due to limited distribution funds and excessive data on Fakir and miskin people who are the main priority. The existence of a system that can determine two groups of recipients of the Fakir and miskin zakat based on data from the underprivileged population can help the distribution of zakat to these 2 groups. In this case, using the Naive Bayes method is very suitable in the classification of the BAZNAS mustahik determination so that it can be used to determine the prospective recipient of zakat. Based on the results of tests conducted on the Naïve Bayes classification with the Confusion Matrix calculation, the accuracy value reached 92.30%.

PENERAPAN TEKNOLOGI SMART FARMING BERBASIS INTERNET OF THINGS BAGI MASYARAKAT PETANI JERUK SIAM Andry Fajar Zulkarnain; Eka Setya Wijaya; Nurul Fathanah Mustamin
Batara Wisnu : Indonesian Journal of Community Services Vol. 2 No. 1 (2022): Batara Wisnu | Januari - April 2022
Publisher : Gapenas Publisher

South Kalimantan Province is one of the areas of agricultural land suitable for Siamese citrus. But several problems can affect the decline in Siam Banjar citrus production and must be prevented immediately so that production rates remain stable and can continue to increase, one of which is farmers in Indonesia who still depend on the rainy season to grow crops and will experience drought problems during the dry season. Come. That's why, along with the development of current technology, one of which is in the agricultural sector, with the help of Internet of Things (IoT) technology, a tool is made, namely automatic watering using the Fuzzy Logic Control method. There are several advantages when using the help of the Internet of Things (IoT), such as water that will be real-time, comprehensive water intake, and following the state of the plant at that time. It is hoped that with the help of this device, Siamese orange farmers can get better harvests in the future

Sistem Peringatan Dini Keterlambatan Masa Studi Mahasiswa Menggunakan Metode Support Vector Machine Muhammad Alkaff; Eka Setya Wijaya; Akhmad Rojali
SMARTICS Journal Vol 6 No 2: SMARTICS Journal (Oktober 2020)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v6i2.4579

Students graduating late from college are a common problem in universities. The study of students at universities is generally designed to be completed in 3.5 to 4 years. If a student has not graduated past that time, he is considered late in completing his education. Lambung Mangkurat University, as the oldest university in Kalimantan, also experienced these problems. Therefore, an early warning system was build to predict students' possibility of being late in completing their studies. This study uses a sample of students from the Faculty of Engineering, the University of Lambung Mangkurat, to predict students who will be late graduating from Lambung Mangkurat University since semester 5. This system was to develop using a model built using the Support Vector Machine (SVM) method. Model training conducted using 755 data from Lambung Mangkurat University Faculty of Engineering students from 2010 to 2014. Then, the performance of the model tested using 234 student data from 2015 and 2016. The parameters used were the number of credits, gender, GPA on semester 1 to 4, and study programs. The test results show that the model has good performance to predict students who will be late in completing their studies with 88.2% accuracy.

EVALUATION OF MOBILE-BASED E-SAMSAT SYSTEM SERVICES IN BANJARMASIN CITY WITH METHOD TECHNOLOGY ACCEPTANCE MODEL AND IMPORTANCE PERFORMANCE ANALYSIS Andry Fajar Zulkarnain; Eka Setya Wijaya; Triana Rifkah
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 7 No. 1 (2022)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v7i1.128

The E-Samsat application uses the Technology Acceptance Model (TAM) method to find out how the attitudes of users, the response of the Banjarmasin community in paying motor vehicle taxes with the E-Samsat application or manually and using the Importance Performance Analysis (IPA) method to provide an assessment of service and use of E-Samsat. using the Cartesian quadrant. This study uses a questionnaire to obtain data. Questionnaires were distributed to the people of Banjarmasin City and people who paid motor vehicle taxes at the Banjarmasin II Samsat Office. From the results of the analysis based on the TAM method with user attitudes. The Importance Performance Analysis (IPA) method lies in which quadrant the statement items have been answered by the respondent.

PENERAPAN MODEL E-LEARNING READINESS DAN UTAUT UNTUK EVALUASI KESIAPAN DAN PENERIMAAN E-LEARNING Mutia Maulida; Eka Setya Wijaya; Misnariyani
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 6 No. 2 (2021)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v6i2.88

Pemanfaatan E-Learning pada institusi pendidikan sering digunakan untuk membantu proses pembelajaran. Universitas Lambung Mangkurat (ULM) merupakan salah satu institusi yang mengembangkan E-Learning untuk digunakan oleh seluruh civitas akademik. Sejak digunakan pada tahun 2017, diketahui pemanfaatan dosen ULM terhadap E-Learning dalam hal ini SIMARI belum maksimal. Hal ini diketahui dari data PTIK ULM bahwa persentase penggunaan E-Learning yaitu 48%. Berdasarkan hal tersebut, perlu dilakukan evaluasi terhadap kesiapan dan penerimaan dosen terhadap E-learning. Model evaluasi yang digunakan pada makalah ini yaitu E-Learning Readiness (ELR) untuk mengukur tingkat kesiapan dan UTAUT untuk mengetahui penerimaan dosen. Faktor yang digunakan pada model ELR yaitu manusia, teknologi, inovasi dan pengembangan diri. Sedangkan, pada model UTAUT terdapat faktor harapan usaha, harapan kinerja, kondisi fasilitas, pengaruh sosial serta keterbatasan waktu yang merupakan faktor tambahan pada makalah ini. Dari hasil analisa data disimpulkan bahwa tingkat kesiapan penggunaan E-Learning berada pada kategori siap namun membutuhkan sedikit peningkatan. Sedangkan penerimaan dosen terhadap E-Learning dipengaruhi oleh faktor harapan usaha, pengaruh sosial, kondisi fasilitas dan keterbatasan waktu.

Co-Authors Ahmad Rivaldy Akhmad Rivaldy Akhmad Rojali Al-Amin, Mochamad Fajar Andreyan Rizky Baskara Awaliyah, Aisyah Dany Primanita Kartikasari Deni Setiawan Fajar Zulkarnain, Andry Gunawan Gunawan Gusti Nizar Syafi'i Husnul Khatimi Kunti Nastiti Liling tryasmono Maulida, Muti'a Misnariyani Muhamad Reza Anwar Muhammad Alkaff Muhammad Andri Firdaus Muhammad Syauqi Al Fath Muhammad Zainal Abidin Mutia Maulida Muti`a Maulida Nadiya Hijriana, Nadiya Noval Noval Nurul Fathanah Mustamin Rico Silas Dwi Kasanda Samsul Hadi Suriazdin, Syahrul Alam Syarifah Soraya Taufiq Abrory Triana Rifkah Wathani, Muhammad Rais Yuslena Sari, Yuslena Yusri Yusri Zaenuddin Zaenuddin, Zaenuddin

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