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All Journal Jurnal Ilmiah Informatika Komputer Ekonomi Bisnis Jurnal Psikologi TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Simantec Journal of Auditing, Finance, and Forensic Accounting REKAYASA Jurnal Ilmiah KOMPUTASI JURNAL PERTANIAN PRESISI (JOURNAL OF PRECISION AGRICULTURE) Angkasa: Jurnal Ilmiah Bidang Teknologi JTP - Jurnal Teknologi Pendidikan JURNAL METEOROLOGI DAN GEOFISIKA Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Mediakom : Jurnal Ilmu Komunikasi Journal of Intelligent Decision Support System (IDSS) Action Research Literate (ARL) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Abdimas Musi Charitas Journal of Communication Studies and Society Jurnal Meteorologi dan Geofisika
Musa, Purnawarman
Gunadarma University
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences 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

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Journal : Jurnal Simantec

 1 
REKOMENDASI KESEHATAN JANIN DENGAN PENERAPAN ALGORITMA C5.0 MENGGUNAKAN CLASSIFYING CARDIOTOCOGRAPHY DATASET Muhamad Rian Santoso; Purnawarman Musa
Jurnal Simantec Vol 9, No 2 (2021)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v9i2.10730

Abstract

Memiliki buah hati yang sehat tidak luput dari faktor kesehatan sang ibu dan kondisi janin di dalam rahim, sehingga butuh analisa terhadap kesehatan janin pada setiap ibu hamil.  Penelitian ini mengusulkan Algoritma C5.0 memanfaatkan dataset Cardiotocography terkait kondisi janin. Dataset Cardiotocography terdiri dari 2.126 record dengan, dimana setiap record memiliki 22 kolom atribut dan terdapat 3 kelas klasifikasi, yaitu; normal, suspect, dan pathological. Dengan menghitung entropy,  information gain,  split information, dan gain ratio, serta menggunakan confusion matrix sebagai perbandingan akurasi dari data yang diteliti. Kelompok record dibagi menjadi data training dan data testing dengan variasi 60%, 70%, 80%, dan 90% untuk data training dan dengan 40%, 30%, 20%, 10% untuk data testing. Hasil dari rekomendari pada variasi pembagian 90% data training dan  10% data testing menghasilkan akurasi sebesar 93,40% dengan jumlah aturan sebanyak 257. Sedangkan variasi 80% data training dan  20% data testing menghasilkan akurasi sebesar 91,29% dengan jumlah aturan sebanyak 239. Pada variasi 70% data training dan  30% data testing menghasilkan akurasi sebesar 88,23% dengan jumlah aturan sebanyak 220. Dan variasi pembagian terkecil 60% data training dan  40% data testing menghasilkan akurasi sebesar 88,12% dengan jumlah aturan sebanyak 204. Berdasarkan variasi tersebut, maka dapat disimpulkan semakin besarnya data training akan menyebabkan akurasi menjadi semakin baik dengan jumlah aturan-aturan yang dapat berguna untuk dijadikan sebagai sistem penunjang keputusan.
ANALISA WEBSITE MENGGUNAKAN LOAD TESTING PADA SISTEM INFORMASI FILM DENGAN GTMETRIX Varrel, Shafwan Almer; Musa, Purnawarman; Rachmi, Namira; Fahrurozy, Akbar Rizky; Nugraha, Satria; Sulistiyo, Mukhlisin
Jurnal Simantec Vol 13, No 1 (2024): Jurnal Simantec Desember 2024
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v13i1.24467

Abstract

Movieku is a free movie download and streaming service that has become a popular choice for users in Indonesia. A smooth user experience requires careful performance testing of the website. This study aims to assess whether the website operates smoothly and provides the best experience for users. Testing was conducted using two techniques: accessing the website with two different devices (a laptop and a mobile device) and comparing performance across various browser applications. The scope of testing includes evaluating website access speed using the GTMetrix tool. The performance test yielded satisfactory response times; however, some aspects of the Movieku website's performance were below average, such as the first contentful paint, which took 1.4 seconds compared to the recommended 0.9 seconds, and the largest contentful paint, which took 2.2 seconds compared to the recommended 1.2 seconds. The study results provide accurate insights into the Movieku website specifically and contribute to optimizing other websites for a smoother and more optimal user experience. Keywords: GTMetrix, Load Testing, Performance Testing, MovieKu Website
Co-Authors Abadi, Kalingga Kencana Aldy Mohamad Amri Dunan Anggara, Risan Putra Anggraeini, Apriana Apriana Anggraeini Bangun Ariffudin Ariffudin Busono Soerowirdjo Cahyanti, Indah Donggala Putra Thalib, Muhammad Juergen Emy Haryatmi Eri Prasetyo Wibowo, Eri Prasetyo Erny Pratiwi Fachrial, Lia Aulia Fahrurozy, Akbar Rizky Farid Thalib Garin Caesar Syanugiri Gunawan, Dyah Ayu Kusumawardani Hambali Hambali Hambali Hambali Herik Sugeru Indria Hapsari, Indria Iqbal Baihaqi Kasman Wicaksono Kurniasih, Ratih Manurung, Adinda Nurul Huda Masodah Masodah Missa Lamsani Muhamad Rian Santoso Muhammad Fauzi Islami Muhammad Fauzi Islami Nugraha, Satria Nur Yuliani Nurthoyibah, Hilmi Aini Octarina Budi Lestari Pertiwi, Cholidah Astri Puji Sularsih Rachmi, Namira Ramadhani, Zahra Shafa Remi Senjaya Saiful Bahri Musa Saiful Bahri Musa Sigit Sukmono SRI LESTARI Sri Murtiasih Sulistiyo, Mukhlisin Suryarini Widodo Tubagus Maulana Kusuma Varrel, Shafwan Almer Wahid Khairul Anam Wicaksono, Kasman Witari Aryunani Witari Aryunani