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Journal : Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)

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.
Penerapan Metode Forward Chaining dan Certainty Factor untuk Mendiagnosa Penyakit Sapi Perah Berbasis Android Mahendra, Wahyu Eka; Andryana, Septi; Winarsih, Winarsih
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.v5i3.176

Abstract

Sapi perah merupakan hewan ternak yang cocok untuk dikembangkan karena mampu menghasilkan susu sebagai sumber protein yang bermanfaat bagi tubuh. Salah satu kendala yang dihadapi peternak ialah, timbulnya penyakit pada sapi perah seperti penyakit mastitis. Seringkali peternak merasa bingung terhadap penyakit yang diderita hewan peliharaannya, hal ini disebabkan kurangnya wawasan peternak terhadap jenis penyakit sapi perah. Pada penelitian ini, diberikan sebuah solusi yaitu menyediakan sebuah layanan dengan menerapkan metode forward chaining dan certainty factor pada aplikasi sistem pakar berbasis android. Penelitian ini bertujuan untuk menambah wawasan kepada peternak, serta membantu peternak untuk mempermudah diagnosa awal yang lebih cepat, praktis, beserta solusi pengobatannya. Hasil penelitian ini menunjukkan bahwa, dalam melakukan perhitungan pada sample diagnosa penyakit mastitis memiliki persentase tingkat keyakinan 99.92%. Angka ini menunjukkan bahwa sistem dapat diterapkan untuk menyelesaikan masalah yang ada.Kata Kunci:Certainty Factor; Forward Chaining; Sapi Perah; Sistem Pakar.
Penerapan Metode Perbandingan Dempster-Shafer dengan Certainty Factor pada Aplikasi Sistem Pakar Deteksi Dini Penyakit Alzheimer pada Lansia Berbasis Web Aldjawad, Mohamad; Andryana, Septi; Andrianingsih, Andrianingsih
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.v5i2.206

Abstract

Alzheimer's is a dementia disease associated with changes in protein in the brain. According to WHO, in 2010 there were 35.6 million people suffering from dementia. People with dementia are usually the elderly. Due to the lack of awareness, information, and knowledge about Alzheimer's disease, an expert system was created using the Dempster-Shafer comparison method with Certainty Factors to assist in early detection of the disease. The results of this study are, there is a final value of the diagnostic results using the Certainty Factor method of 56% while using the Dempster-Shafer method of 54.5%.Keywords:Alzheimer, Expert system, Dempster-Shafer, Certainty Factor, Web-Based.
Analisa Perbandingan Metode MOORA, Promethee, dan Weighted product dalam Penentuan Lokasi Usaha Nadila, Tika Aenun; Andryana, Septi; Sholihati, Ira Diana
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.v5i3.185

Abstract

In building a business, there are many aspects that need to be considered in choosing the right business location,  to minimize costs while still providing quality space to provide long-term benefits This research uses the Moora (Multi-objective optimize on the basis of ratio analysis) method, Promethee (Preference ranking organization method for enrichment evaluation), and Weighted product. These three methods were analyzed by manual calculation, then comparisons were made based on the effectiveness in processing the data and the level of conformity. The results showed that the suitability level of the weighted product method was higher with a value of 99.99857%, followed by MOORA 99.99779% and Promethee 99.99679%. Weighted products also have a fast and effective process stage, so this method is the method used in implementing web-based business location decision support systems . The results of manual and system calculations on weighted products also have the same results, namely the HI shop alternative with a value of 0.189 as the highest alternative.Keywords:Business Location, Moora, Promethee, Decision Support Systems, Weighted product.
Sistem Pakar Diagnosa Kerusakan VGA dengan Metode Certainty Factor dan Algoritma K-Nearest Neighbor (K-NN) Yusuf Effendi, Rizal Maulana; Andryana, Septi; Komala Sari, Ratih Titi
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5, No 1 (2021): JTIK
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i1.168

Abstract

VGA (Video Graphics Array) is a Video adapter which is very useful for improving the performance and quality of the visual process on a computer, but sometimes there is often a malfunction that cannot be identified the type of damage. The problem is the lack of media to identify the damage that occurs during visual processing. Therefore, the authors created an expert system that can diagnose the type of damage to VGA using the Certainty Factor method as a calculation, using UML modeling as the work process flow of the system on the website, and also equipped with the KNN (K-Nearest Neighbor) algorithm as machine learning. so that it can build an expert system with the PHP programming language MySQL database. The method used in testing is the black box method in testing the system used. The results that can be concluded from this study are; 1) The diagnostic system for detecting damage to the VGA uses the K-Nearest Neighbor Algorithm as machine learning and the Certainty Factor Method as a calculation medium in determining the distance from the type of damage and has suggestions for further actions to deal with and prevent the damage from occurring and also has other possible damage things that are similar to the damage suffered can be accessed quickly and easily to understand, in making scientific research carried out sequentially to facilitate the process, and 2) In addition to diagnosing, there are several additional menus that can be accessed such as the Prediction menu which functions to displays the max and min limits of the temperature of a product, Product Info which functions as a quality product recommendation, and a description that contains a post of details of the damage that can be studied and is expected to help users find solutions to their problems.Keywords:Expert System, PHP, Certainty Factors, Machine learning, K-NN.
Pemilihan Transportasi Bus Antar Kota Antar Provinsi (AKAP) Dengan Metode Simple Additive Weighting (SAW), Weighted Product (WP), dan Promethee Berbasis Android Riyadi, Achmad; Andryana, Septi; Winarsih, Winarsih
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.v5i3.177

Abstract

Perantau yang mengalami peningkatan setiap tahunnya membuat transportasi bus menjadi salah satu alat transportasi yang paling banyak digunakan masyarakat Wonogiri untuk mudik ke kampung halamannya. Di Kabupaten Wonogiri tersedia transportasi bus dari berbagai macam perusahaan, mulai dari perusahaan lokal maupun pendatang yang memiliki keunggulan fasilitas, pelayanan, serta armada bus yang beragam. Penerapan sistem pendukung keputusan untuk memudahkan calon penumpang guna menetapkan pilihan agar sesuai dengan kriteria yang diinginkan dapat dilakukan menggunakan metode Simple Additive Weighting, Weighted Product, dan Promethee. Metode tersebut melakukan perhitungan nilai setiap kriteria, bobot kriteria, tipe kriteria, dan mudah diterapkan untuk menyelesaikan masalah yang berhubungan dengan multikriteria. Terdapat 4 kriteria yang digunakan dan 18 macam perusahaan bus sebagai alternatif. Adanya sistem ini, diharapkan dapat mempermudah calon penumpang dalam menentukan bus sesuai dengan kriteria yang diinginkan.Kata Kunci:Promethee; Simple Additive Weighting; Weighted Product.
Aplikasi Augmented Reality (AR) dengan Metode Marker Based sebagai Media Pengenalan Hewan Darat pada Anak Usia Dini menggunakan Algoritma Fast Corner Detection (FCD) Syahputra, Adryan; Andryana, Septi; Gunaryati, Aris
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5, No 1 (2021): JTIK
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i1.164

Abstract

Pendidikan pada anak tidak hanya belajar dari buku saja, dengan berkembangnya teknologi pendidikan bisa dilakukan dengan menggunakan peralatan teknologi seperti komputer, smartphone atau gadget. Penggunaan aplikasi Augmented reality bisa dijadikan contoh dalam pembelajaran pada anak usia dini dengan memperkenalkan hewan darat secara 3D. Penelitian ini bertujuan memberikan edukasi khususnya pada anak mengenai pengenalan dari hewan-hewan darat dengan memanfaatkan teknologi augmented reality. Penelitian ini menggunakan metode marker-based tracking dan algoritma fast corner detection. Hasil dari penelitian menghasilkan sebuah aplikasi yang didalamnya berisi pengenalan hewan darat yang terdiri dari hewan anjing, kuda, kanguru, kucing, serigala, gajah, rusa, unta, jerapah, dan sapi. Informasi singkat mengenai masing-masing hewan, yang dirancang semenarik mungkin untuk anak-anak. Aplikasi dapat berjalan pada sistem operasi android.Kata Kunci:Augmented reality, Objek 3D, Marker Based, Fast corner detection.
Perancangan Sistem Pendukung Keputusan Penerimaan Beasiswa Menggunakan Metode Analytical Hierarchy Process (AHP), Simple Additive Weighting (SAW) dan Elimination Et Choix Traduisant la Realite (ELECTRE) Ali, Muhammad Rifqi; Andryana, Septi; Hidayatullah, Deny
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.v5i3.217

Abstract

In the world of education, scholarships are financing or subsidies provided by the government, companies, universities, and other educational institutions. This study aims to design and build a decision support system to assist and facilitate the school in determining prospective recipients of scholarship assistance for poor and high achievers with the criteria determined by the scholarship organizer. With this, the researcher designed and built a decision support system using the Analytical Hierarchy Process (AHP) method which was then compared by the Imple Additive Weighting (SAW) and Elimination Et Choix Traduisant la Realite (ELECTRE) method. So that the results of the design of this system are able to assist in determining prospective scholarship recipients. The comparison of the 3 methods shows the results of the ranking of criteria that are slightly different, but basically, the 3 methods can be used properly to solve the problem of determining the scholarship recipient.Keywords:Support System, Analytical Hierarchy Proses (AHP), Simple Additive Weighting (SAW) dan Elimation Et Choix Traduisant la Realite (ELECTRE).
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 Mochamad Naufal Shofy 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