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All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Teknologi dan Manajemen Informatika Jurnal Informatika Jurnal Informatika Jurnal sistem informasi, Teknologi informasi dan komputer Seminar Nasional Informatika (SEMNASIF) SMATIKA KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer SISFOTENIKA Journal of Information Technology and Computer Science (JOINTECS) JURNAL MEDIA INFORMATIKA BUDIDARMA JITK (Jurnal Ilmu Pengetahuan dan Komputer) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI J I M P - Jurnal Informatika Merdeka Pasuruan INTECOMS: Journal of Information Technology and Computer Science J-SAKTI (Jurnal Sains Komputer dan Informatika) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Jurnal Mantik E-JURNAL JUSITI : Jurnal Sistem Informasi dan Teknologi Informasi Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Sistem Komputer & Kecerdasan Buatan Indonesian Journal of Electrical Engineering and Computer Science Jurnal Teknik Informatika C.I.T. Medicom Journal of Intelligent Decision Support System (IDSS) IAIC Transactions on Sustainable Digital Innovation (ITSDI) KLIK: Kajian Ilmiah Informatika dan Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Informatika Teknologi dan Sains (Jinteks)
Septi Andryana
Universitas Nasional
Aerospace Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics

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PENGENALAN AKSARA LONTARA TULIS TANGAN MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORKS BERBASIS ANDROID Nur, Ridwan; Andryana, Septi; Winarsih, Winarsih
Jurnal Informatika Vol 18, No 1 (2018): Jurnal Informatika
Publisher : IIB Darmajaya

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Abstract

Convolutional Neural Network (CNN) is the latest method in object recognition which is the development of Multilayer Percepton (MLP). CNN has a special layer of convolution layer and layer max pooling to process feature training hierarchically from data, with spatial data inputting. As a method of handwriting recognition method, CNN method is the best compared to method or similar model at this time. Therefore the CNN method is used in this research, for the recognition of Lontara script handwriting character. Using the CNN M8 model and TensorFlow open-source library for Lontara script image data training. After that made simple android interface as a medium of input Lontara script write hand through canvas for performance evaluation. From the test results obtained accuracy of up to 90%, by testing as many as 30 forms of Lontara.
Aplikasi Augmented Reality Sebagai Media Informasi Museum Fatahillah Dan Museum Wayang Menggunakan Metode Markerless Farhany, Nadia Muis; Andryana, Septi; Komalasari, Ratih Titi
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol 3 No 2 (2019)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (581.106 KB) | DOI: 10.31961/eltikom.v3i2.140

Abstract

Museum Fatahillah dan Museum Wayang merupakan Museum Sejarah yang berada dikawasan kota tua Jakarta. Namun masalah yang terjadi saat ini adalah kurangnya media untuk mengenalkan kembali sejarah dan pengetahuan berdirinya Museum Fatahillah dan Museum Wayang Maka pada penelitian ini, dirancanglah sebuah aplikasi Augmented Reality berbasis Android sebagai media informasi menggunakan metode markerless 3D Object Tracking. Aplikasi Augmented Reality museum ini menyediakan ftur- fitur yang dapat menarik pengguna dalam mencari informasi. Hasil yang didapatkan pada penelitian ini yaitu berupa sebuah 3D object dengan tambahan informasi berupa teks dan video Animasi, yang bertujuan sebagai salah satu pembelajaran alternativ berbasis teknologi.
EXPERT SYSTEM FOR EARLY DETECTION OF BREAST CANCER WITH THE FORWARD CHAINING METHOD Caniago, Diana; Andryana, Septi; Gunaryati, Aris
Journal of Intelligent Decision Support System (IDSS) Vol 3 No 1, Maret (2020): Exper System, Decision Support System, Datamining
Publisher : Journal of Intelligent Decision Support System (IDSS)

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Abstract

Breast cancer will be easier to overcome if it is known as early as possible to the importance of self-awareness to perform a routine inspection of BSE. The study presented aims to design a web-based application in the health field in the early detection of breast cancer. Penelian expert system method on this is to use forward chaining to represents the rule and reasoning into a coherent system based on physical symptoms entered. In this system also gets a percentage probability of 72.7%, so it can be quite good. In addition the system can produce two outputs in the form of possibility, the output is both benign and malignant.
Rancang Bangun Game Birokrasi Penyelenggaraan Kegiatan Kemahasiswaan Menggunakan Metode Finite State Machine Puspita, Anna Thasyia; Andryana, Septi; Sari, Ratih Titi Komala
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol 4 No 1 (2020)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (826.886 KB) | DOI: 10.31961/eltikom.v4i1.141

Abstract

Organisasi dan kegiatan kemahasiswaan adalah hal yang tidak dapat dipisahkan. Kurangnya pengetahuan anggota organisasi tentang birokrasi penyelenggaraan kemahasiswaan disebabkan oleh kurangnya edukasi sebelum pendaftaran organisasi. Berdasarkan permasalahan yang telah diuraikan, maka dibuat game tentang birokrasi penyelenggaraan kegiatan kemahasiswaan dengan tujuan menjadi media pembelajaran kepada calon anggota organisasi tentang prosedur penyelenggaraan kegiatan kemahasiswaan. Game ini dirancang menggunakan metode Finite State Machine dengan tujuan memberikan edukasi terhadap pengguna tentang proses penyelenggaraan kegiatan kemahasiwaan. Dari hasil pengujian game menggunakan skala likert didapat persentase rata – rata 96,76% pengguna menyatakan bahwa game telah sesuai dengan fungsinya, maka dapat dikatakan game ini memenuhi tujuan awal pembuatannya yaitu menjadi media pembelajaran kepada calon anggota organisasi tentang prosedur penyelenggaraan kegiatan kemahasiswaan.
Diagnosa Hepatitis A Menggunakan Metode Dempster - Shafer Pratiwi, Ridha; Andryana, Septi; Gunaryati, Aris
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol 4 No 1 (2020)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (973.309 KB) | DOI: 10.31961/eltikom.v4i1.156

Abstract

Hepatitis A merupakan penyakit peradangan yang terjadi pada hati, yang disebabkan karena adanya in-feksi oleh virus HAV, selain itu kurangnya perhatian masyarakat terhadap kebersihan lingkungan, makanan dan minuman yang tidak higenis, mahalnya biaya konsultasi, serta hubungan seks yang tidak sehat juga merupakan faktor utama dari berkembangnya penyakit tersebut. Untuk mengatasi permasalahan tersebut, dibuatlah suatu sistem yang dapat membantu masyarakat dalam mendeteksi dini, serta memberikan informasi terkait penyakit hepatitis A yaitu, dengan memanfaatkan sebuah sistem pakar yang menggunakan metode Dempster – Shafer, yang merupakan sebuah metode yang digunakan untuk mencari nilai kepastian dari gejala yang telah diinputkan sebelumnya, dan menghasilkan output berupa hasil diagnosis, penanganan, solusi, dan gejala yang telah dipilih. Penelitian ini dilaksanakan dengan mensimulasikan sistem dari gejala yang dipilih secara acak, sebanyak 100 data uji, dengan didampingi oleh pakar terkait. Sehingga diperoleh hasil akurasi sebesar 92% data yang sesuai dengan pakar dan 8% data tidak sesuai dengan pakar. Dari hasil pengujian tersebut menunjukan bahwa sistem pakar ini telah mampu untuk melakukan diagnosa dini terkait penyakit hepatitis A dengan metode Dempster – Shafer.
Designing Information System Evaluation Of Lecturer Teaching Activities As An Implementation Of Internal Quality Guarantee System In The Unas Information System Study Program: Designing Information System Evaluation Of Lecturer Teaching Activities As An Implementation Of Internal Quality Guarantee System In The Unas Information System Study Program Zaman, M Alwi Saepul; Andryana, Septi; Komalasari, Ratih Titi
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

As technology advances fast and offers many conveniences. for humanity to complete good work in the fields of life, business and education. Quality Assurance Unit Unit Penjaminan Mutu (UPM) of Nationa University (UNAS) Information System Programas part of the Quality Assurance Agency Badan Penjaminan Mutu (BPM). UNAS to guarantee the safety activities of lecturers in the UNAS information system study program, in order to guarantee the quality of education. The implementation of an ongoing monitoring process requires a computerized system, with the hope to improve the quality and strengths in the evaluation process of improving lecturer competence. The evaluation process is still manual. The use of this manual system has not been maximized, and this concerns evaluation results that are prone to human error, such as incorrect data entry, the evaluation process and results are relatively longer. Storing information needed to improve lecturers' quality assurance is always late. therefore, an information system is needed that is expected to help the quality assurance unit (UPM). UNAS information system study program. In the data processing supported by the lecturer. The author wants to discuss web-based systems using the PHP framework namely Code Igniter (CI v.3) and MySQL DBMS. By using the method of SDLC design waterfall (waterfall) and system testing using the black-box method.
Visualisasi Gedung Sekolah 3D dengan Konsep Virtual Reality Berbasis Android Dewantoro, Danang; Andryana, Septi; Gunaryati, Aris
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 1 (2020): Januari 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i1.1866

Abstract

Promotion and introduction of school buildings still uses media such as brochures or pamphlets, because it requires software that can introduce and provide information about specific school buildings in SMK 25 Jakarta. This study aims to provide an introduction to the Virtual Reality 25 Jakarta Vocational High School building using the VR Box as a medium of information about the rooms to prospective new students. This application utilizes the method of research and development (R&D) with the ADDIE model, this model serves to carry out periodic assessments in each phase so that the resulting product becomes valid. The validation test results concluded that the system is valid. Testing the level of user satisfaction after using the Virtual Reality application SMKN 25 Jakarta can be concluded that the average user gives a value of 3.4 or enough on the satisfaction of the application menu display, and gives a value of 3.05 on the satisfaction of virtual mode.
Pemilihan Tema Tugas Akhir Prodi Sistem Informasi Menggunakan Kolaborasi Metode Analytic Hierarchy Process (AHP), Simple Additive Weighting (SAW), dan SMART Pratama, Aditya; Andryana, Septi; Sholihati, Ira Diana
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5, No 2 (2021): JTIK
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i2.178

Abstract

Menyelesaikan tugas akhir ialah syarat kelulusan bagi seorang mahasiswa yang harus dikerjakan berdasarkan bidang pengetahuannya. Banyak mahasiswa yang mengambil mata kuliah tugas akhir namun belum memiliki tema untuk tugas akhir mereka. Ada juga mahasiswa yang mengambil tema tugas akhir namun tidak selaras dengan nilai dan kemampuanya. Mengenai masalah tersebut akan dilakukan penelitian untuk membantu mahasiswa Prodi Sistem Informasi Universitas Nasional dalam memilih tema tugas akhir yang diproses menggunakan kolaborasi metode Analytical Hierarchy Process, Simple Additive Weighting, dan Simple Multi Attribute Rating Technique. Penelitian ini dimulai dengan menentukan nilai kriteria setiap mahasiswa yang dihitung menggunakan metode SAW untuk bobot nilai dan metode SMART untuk bobot kemampuan, berikutnya mencari nilai alternatif untuk setiap tema tugas akhir dengan menggunakan metode AHP, lalu dilakukan proses perankingan dengan cara kali matriks antara nilai kriteria dan alternatif yang akan menghasilkan tema tugas akhir yang optimal.Kata Kunci:Analytical Hierarchy Process; Simple Additive Weighting; Simple Multi-Attribute Rating Technique; Tugas Akhir.
Visualisasi dan Analisa Data Penyebaran Covid-19 dengan Metode Klasifikasi Naïve Bayes Ikbal, Muhammad; Andryana, Septi; Komala Sari, Ratih Titi
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5, No 4 (2021): JTIK
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i4.233

Abstract

The covid-19 virus became a pandemic in 2020. The spread of covid cases has hit the whole world, reaching 63 million cases in 190 countries as of November 2020. Information regarding the spread of covid is necessary for the general public. This research will produce a system that can provide information on the geographic distribution of covid cases. The data on the distribution of covid cases in this study were also used to analyze the classification using the Naive Bayes Classifier method. The Naive Bayes Classifier method works by using probability calculations so that this research can be used to classify the covid status in an area. The results of this study have succeeded in providing information on the status of the covid pandemic based on data on covid cases that have occurred around the world. Covid case data becomes training data for the analysis of the Naive Bayes classifier method so that it can determine the status of the Covid pandemic based on test data provided by system users. This research has succeeded in helping users to know the status of the Covid pandemic in an area well because it has reliable training data.Keywords:System, Covid, Naïve Bayes Classifier.
Penentuan Wilayah Terdampak Covid-19 dengan Menggunakan Metode Analytical Hierarchy Process, Simple Additive Weighting dan Weighted Product Supriyadi, Mohamad Didit; Andryana, Septi; Gunaryati, Aris
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5, No 3 (2021): JTIK
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i3.191

Abstract

Corona virus (Covid-19) is a new virus that has spread to many countries in the world, including Indonesia in 2020. This virus has spread to all provinces in Indonesia. The 3 provinces with the highest number of cases are DKI Jakarta, East Java and Java West. Currently, the ranking of areas affected by Covid-19 is only done based on the confirmed number of each province. Therefore, this study aims to rank the affected areas of Covid-19 using the Analytical Hierarchy Process, Simple Additive Weighting and Weighted Product methods. The combination is done based on the advantages of each method. The AHP method is used to analyze the criteria to produce criteria with good consistency, then the ranking process of each alternative is carried out using the SAW and WP methods. This research is expected to provide recommendations for the affected areas to make various efforts to reduce the confirmed figures.Keywords:Analytical Hierarchy Process; Decision Support System; Simple Additive Weighting; Weighted Product.
Co-Authors Achmad Riyadi Aditya Pratama Aditya Pratama Adryan Syahputra Agung Sembiring Agus Iskandar Ahmad Fahreza Akbar Mulia Ardiansyah Alam Supriyadi Albaar Rubhasy Aldisa, Rima Tamara Aldjawad, Mohamad Ali, Muhammad Rifqi Alma Bryan Fitri Finika Andrianingsih Andrianingsih Angga Pradihta Anna Thasyia Puspita Aprilia Tika Rahayu Apriliani Wulandari Arif Setyo Pambudi Aris Gunaryat Aris Gunaryati Aris Gunaryati Aris Gunaryati Aris Gunaryati Aris Gunaryati Aris Gunaryati, Aris Avicienna Adhi Narendro Purnomo Azharandi, Nadhif badriawan sukma Bagus Tegar Dwi Irianto Bagus Widiyanto Bayu Setyawan Ben Rahman Bimo Anggoro Seno Bimo Salasa Putra Budi Dwi Kurniawan Caniago, Diana Defrimont Era Deny Hidayatullah Deny Hidayatullah Dewantoro, Danang Dhani Farhansyah Diana Caniago Dicky Pradana Abdulrahman Julianto Dion R A Mamisala Dwi Yulian Rizki Saputra Eri Mardiani Farhany, Nadia Muis Fauziah Fauziah Febfiyana Febfiyana Fegie Yoanti Wattimena Fendy Sulistyo Finika, Alma Bryan Fitri Freddy Artadima Silaban Ghifari Yusuf Abdillah Gio Fandi H Nainggolan Guntur Wicaksono Gusti Karnawan Haris Amanullah Ina Agustina Ira Diana Sholihati Ira Diana Sholihati irfan muttaqim Istiarati Ayustina Anjaswari Jhovie Afriyany Komala Sari, Ratih Titi Krisna Ruliyanto Lukman Medriavin Silalahi M Alwi Saepul Zaman Mahendra, Wahyu Eka Maurizka Zahra Devita Mikhael Kristian Misria Attanggo Mohamad Aldjawad Mohamad Didit Supriyadi Muhamad Afriyan Kahfi Muhammad Ikbal Muhammad Ikbal Muhammad Reza Akbar Muhammad Rifqi Ali Muhammad Taufiq Ismail Mursyid Salim Nadhif Azharandi Nadia Aulia Nadia Muis Farhany Nadila, Tika Aenun Naif Farhan Naqiyah, Shofy Navita Putri Purwanti Nur Hayati Nur Widya Pratiwi Nur, Ridwan Pramesti Sifa Aisya Nuha Pratiwi, Ridha Puspita, Anna Thasyia Putra, Ricky Syah Rafli Ramadhan Gunawan RAHAYU, FAJAR Rahmat Azyad Samallo Ratih Titi Komala Sari Ratih Titi Komala Sari Ratih Titi Komala Sari Ratih Titi Komala Sari Ratih Titi Komala Sari, Ratih Titi Komala Ratih Titi Komalasari Rehan Aria Khalif Reni Koibur Resa Wahyu Adi Pujianto Ricky Syah Putra Ridha Pratiwi Ridwan Baharudin Ridwan Nur Rifqi Firmansyah Rifqi Zulfikar Rima Tamara Aldisa Rima Tamara Aldisa Rivan Wahyuda Riyadi, Achmad Rizal Maulana Yusuf Effendi Rizki Insani Maulana Ryan maulana Sari Ningsih Selamet Kurniawan Setia Sri Anggraeni Setiawan, Muhammad Afif Setiyo Budiyanto Sholihati, Ira Diana Shynta Octavia Sita Widad Muqsithoh Supriyadi, Alam Supriyadi, Mohamad Didit Syahbani Farhan Syahputra, Adryan Tasya Khaerani Janubiya Teguh Riyono Adi Tika Aenun Nadila Topan Yulianto Ucuk Darusalam Wafiqah Setyawati Wahyuni Wahyu Eka Mahendra Winarsih Winarsih Winarsih Winarsih Winarsih Winarsih Yuda Aji Pramukti Yusril Adam Mahendra Yusuf Effendi, Rizal Maulana Zaman, M Alwi Saepul