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All Journal Jurnal Pendidikan Teknologi dan Kejuruan Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) JMMR (Jurnal Medicoeticolegal dan Manajemen Rumah Sakit) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Jurnal Teknologi dan Sistem Komputer Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Wijaya, Wahyu
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Library & Information Science Mathematics Other

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PENGARUH IKLIM ORGANISASI SEKOLAH TERHADAP PRESTASI BELAJAR SISWA DI SMA NEGERI 3 PONTIANAK Wijaya, Wahyu; Witarsa, Witarsa; Achmadi, Achmadi
Jurnal Pendidikan dan Pembelajaran Khatulistiwa Vol 8, No 10 (2019): Oktober 2019
Publisher : Jurnal Pendidikan dan Pembelajaran Khatulistiwa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (662.754 KB)

Abstract

AbstractThis thesis entitled, "The Effect of School Organizational Climate Against Student Achievement At Sma Negeri 3 Pontianak". The variables in this study consisted of the independent variable (X), the Organizational Climate and the dependent variable (Y), the Learning Achievement. The method used in this research is descriptive research method with a form of research Ex postfakto. The population in this study were all students members of OSIS SMA Negeri 3 Pontianak period 2018/2019. While the sample in this research is all student members of OSIS SMAN 3 Pontianak 2018/2019 period obtained through techniques Saturated samples. The results showed that organizational climate has an influence on student achievement member OSIS SMAN 3 Pontianak period 2018/2019. Based on calculations using SPSS version 24Greater CR = 6.635 t table = 1.753 (CR> t table) and obtained figures correlation coefficient of 0.754, which means there is a positive influence on the school Organizational Climate influence on student learning achievement in SMAN 3 Pontianak. Keywords: Organizational Climate, Learning Achievement
Analysis of Development Strategy Management of the Indonesian Navy Hospital dr. R. Oetojo Machfudi, Satrio Sugiharto; Wijaya, Wahyu; Iswanto, Heri
JMMR (Jurnal Medicoeticolegal dan Manajemen Rumah Sakit) Vol 8, No 3 (2019): December
Publisher : Universitas Muhammadiyah Yogyakarta in Clollaboration with ADMMIRASI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jmmr.83106

Abstract

This study aims to analyze the strategic management of the Sorong Naval Hospital dr. R. Oetojo, Indonesian Navy development in an effort to provide personnel health services in the Sorong XIV Main Naval Base working area. The scope of the study includes the analysis of external environmental factors that become opportunities and threats, and analysis of internal environmental factors that become strengths and weaknesses, redefining the vision and mission, setting long-term goals until 2023, determining alternative strategies and determining the chosen strategy appropriate. The research method is operational with a combination of research data from interviews and questionnaires. Implementation performance and quality of health services consisting of dimensions of tangible, reliability, responsiveness, assurance, and empathy with an average index of 4.00 or 80.15% have good results. The strategy was chosen by using the SWOT matrix and IE matrix to obtain the organization's position. Health services Naval Hospital dr. R. Oetojo, Indonesian Navy based on the SWOT matrix analysis is in quadrant I, which is an aggressive strategy which replaces with that has a very profitable position or strategy, maximizes opportunities and strengths, and supports aggressive growth policies. The results of the IE matrix obtained the total value of the EFAS matrix 3.159 and IFAS matrix 3.203, so that the hospital position is in the cell I or is described as Grow and Build with alternative strategies including market penetration, market development, and product development.
Aplikasi Electronic Nose Untuk Klasifikasi Kopi Aceh Gayo Berdasarkan Proses Pasca Panen Sumanto, Budi; Nathasya, Iota; Wijaya, Wahyu; Hendry, Jans
Jurnal Teknologi dan Sistem Komputer [IN PRESS] Volume 11, Issue 1, Year 2023 (January 2023)
Publisher : Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jtsiskom.2023.14421

Abstract

Kopi merupakan salah satu komoditas asal Indonesia dengan daya tarik aroma dan rasa yang khas. Salah satu jenis kopi yang terkenal adalah Kopi Aceh Gayo. Kopi ini memiliki beberapa jenis lagi yang dibedakan melalui proses pasca panen yang dikenakan pada biji kopi yang sama. Hasil pengolahan ini akan menghasilkan aroma dan kualitas yang berbeda seperti pada Gayo natural dan wine. Kualitas kopi umumnya diuji menggunakan hidung manusia yang cenderung memiliki kekurangan karena sifatnya yang subyektif. Adanya kekurangan inilah yang berusaha dibantu dengan menggunakan e-nose dan SVM. E-nose merupakan instrument pengukuran yang memanfaatkan sensor gas untuk mengumpulkan data sinyal dari obyek yang digunakan. SVM (Support Vector Machine) merupakan metode yang digunakan untuk mencari hyperplane terbaik yang dapat memisahkan kedua jenis kopi yang digunakan sebagai obyek percobaan ini. Penggunaaan E-nose dan SVM menghasilkan akurasi prediksi sebesar 90%, presisi sebesar 87,5% dan sensitivitas 93,3%.
Perbandingan Kinerja Sistem Operasi Network Attached Storage: Studi Kasus Truenas dan Xigmanas Wijaya, Wahyu; Panjaitan, Febriyanti; Rizal, Syahril; Ulfa, Maria
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 5 No. 1 (2024): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v5i1.468

Abstract

Network Attached Storage (NAS) is a data storage device that operates through a computer network and provides an efficient and cost-effective storage solution due to its open-source foundation. This research compares the performance of TrueNAS and XigmaNAS as NAS operating systems in terms of data transfer speed and resource utilization over a period of 7 days. The tested parameters include file copy, file classification, file duplicate detection, CPU usage, and memory usage. The research results indicate that the average file transfer speed from server to client in TrueNAS is 7.4 Mbps, while in XigmaNAS it is 7.36 Mbps. The average file classification rate in TrueNAS is 863 files/s, whereas in XigmaNAS it is 813 files/s. The average speed of duplicate file detection in TrueNAS is 1.23 files/s, while in XigmaNAS it is 1.13 files/s. The average CPU usage in TrueNAS is 30.08%, compared to 29.38% in XigmaNAS. The average available memory for TrueNAS is 6.13 GiB, and for XigmaNAS it is 5.41 GiB. Despite the small variations and differences observed in the test results, overall, TrueNAS outperforms XigmaNAS in the analyzed aspects.
Seleksi Fitur Aroma Teh Kombucha menggunakan ANN untuk Optimasi Kinerja Sistem E-nose NUGROHO, ADHITYA ALVIAN; WIJAYA, WAHYU; HENDRY, JANS; SUMANTO, BUDI
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 10, No 2: Published April 2022
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v10i2.334

Abstract

ABSTRAKTeh kombucha merupakan hasil fermentasi antara teh manis dengan mikroba yang memiliki khasiat baik bagi kesehatan tubuh. Waktu yang dibutuhkan untuk fermentasi teh ini adalah 7 hingga maksimal 12 hari. Penentuan siap konsumsi dari hasil fermentasi biasanya mengacu dari umur fermentasi dan uji coba rasa oleh human tester. Selain menggunakan 2 cara tersebut, pemanfaatan sistem Electronic Nose (e-nose) dapat digunakan juga untuk melakukan identifikasi terhadap aroma teh kombucha selama proses fermentasi untuk mengetahui matang atau tidaknya. Akan tetapi timbul masalah yaitu hasil pembacaan e-nose menghasilkan data yang cukup banyak sehingga kurang efektif dan dapat menurunkan kinerja sistem, solusinya dapat diterapkan seleksi fitur menggunakan Artificial Neural Network berdasarkan dari Sum of Absolute Errors. Hasil dari penelitian ini mendapatkan 6 fitur terbaik dengan peningkatan nilai akurasi sebesar 97,22%, presisi sebesar 94,74%, dan sensitivitas sebesar 100,00%.Kata kunci: Teh Kombucha, Seleksi Fitur, E-nose, Artificial Neural Network, Sum of Absolutes Errors ABSTRACTKombucha tea is a fermented product of sweet tea with microbes that have good health benefits. The time required to ferment this tea is 7 to a maximum of 12 days. Determination of ready-to-consumption of fermented products usually refers to the age of fermentation and taste testing by a human tester. In addition to using these 2 methods, the use of the Electronic Nose (e-nose) system can also be used to identify the aroma of kombucha tea during the fermentation process to determine whether it is ripe or not. Problems that arise from reading e-nose produce quite a lot of data so that it is less effective and can reduce system performance, the solution can be applied to feature selection using an Artificial Neural Network based on the Sum of Absolute Errors. The results of this study get the best 6 features with an increase in accuracy of 97.22%, precision of 94.74%, and sensitivity of 100.00%.Keywords: Kombucha Tea, E-nose, Feature Selection, Artificial Neural Network, Sum of Absolute Errors
FINE TUNNING MODEL INDOBERT UNTUK ANALISIS SENTIMEN BERITA PARIWISATA INDONESIA Wijaya, Wahyu; Seputra, Ketut Agus; Dewi, Ni Putu Novita Puspa
Jurnal Pendidikan Teknologi dan Kejuruan Vol. 22 No. 2 (2025): Edisi Juli 2025
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jptk-undiksha.v22i2.104056

Abstract

Perkembangan kecerdasan buatan pada ranah NLP dewasa ini sangat pesat. Beberapa teknologi kecerdasan buatan pada text-based teknologi seperti ChatGPT, Gemini, LLaMA, dan lain-lain telah dimanfaatkan dalam ranah riset ataupun industry. Dalam analisis sentimen, yang menjadi komponen utama adalah representasi teks. Teknik representasi teks yang menonjol pada akhir-akhir ini adalah bidirectional encoder representation from transformer(BERT). Sesuai dengan permasalahan yang disebutkan sebelumnya, analisis sentimen ini dapat dilakukan untuk berita pariwisata. Namun untuk meningkatkan akurasi dapat dilakukan fine tunning pada metode BERT. Berdasarkan permasalahan tersebut, dalam penelitian ini akan dilakukan analisis sentiment dengan menggunakan metode IndoBERT. Akan dilakukan fine tuning untuk fokus ranah pariwisata. Berdasarkan hasil pengujian yang telah dilakukan didapatkan tangkat akurasi sebesar 77%. Model dapat melakukan klasifikasi sentiment negative dengan baik, namun masih perlu ditingkatkan pada sentiment positif dan netral.  
Co-Authors Achmadi Achmadi Agus Seputra I Ketut Budi Sumanto Dewi, Ni Putu Novita Puspa Febriyanti Panjaitan HENDRY, JANS Heri Iswanto Machfudi, Satrio Sugiharto Maria Ulfa NATHASYA, IOTA NUGROHO, ADHITYA ALVIAN Syahril Rizal, Syahril Witarsa Witarsa, Witarsa