IMPLEMENTASI SISTEM PAKAR UNTUK PENENTUAN PEMILIHAN ALAT KONTRASEPSI MENGGUNAKAN METODE FORWARD CHAINING DAN CERTAINTY FACTORS

Pemilihan alat kontrasepsi bukan merupakan hal yang mudah karena resiko-resiko dan efek sampingnya akan memberikan dampak pada tubuh yang tidak pernah menggunakan sebelumnya. Di sisi lain, tidak ada alat kontrasepsi yang selalu cocok untuk masing-masing individu karena situasi dan kondisi pada masing-masing tubuh adalah berbeda, jadi pengetahuan lebih lanjut sangat diperlukan untuk mengetahui kelebihan dan kekurangan dari masing-masing alat kontrasepsi yang digunakan oleh tubuh calon pengguna. Sistem pakar untuk penentuan pemilihan alat kontrasepsi menggunakan metode forward chaining yang dikombinasikan dengan metode CF yang digunakan untuk melakukan pembobotan terhadap setiap indikasi-indikasi yang dialami calon pengguna. Hasil yang diperoleh nantinya dapat membantu masyarakat untuk mengetahui indikasi-indikasi yang mengarah pada alat kontrasepsi yang sesuai dan mendapatkan informasi-informasi lain yang berhubungan dengan alat tersebut. Kata Kunci : Forward Chaining, Certainty Factors, indikasi, Alat Kontrasepsi The choice of contraceptive tools is not an easy thing because the risks or effects will give impact on the body that never using it previously. in the other side ,there is no contraception always suit for everybody because the circumstances of each body is different, so the extensive knowledge must be needed to know the advantages and disadvantages of each contraceptive tools then adjusted to the user's body. The expert system for contraceptive tools uses Forward Chaining search method combined with Certainty Factors Method. These method value the patient’s indication. The Expert system gives the output data which define the kind of tool uses of the patient. the results obtained will be able to help people to find indications that lead to appropriate contraceptive tools and advice or suggestions about these tools. Key Words : Forward Chaining, Certainty Factors, Indications, Contraceptive Tool

THE DEVELOPMENT OF QR CODE BASED MOBILE ATTENDANCE INFORMATION SYSTEM USING SCRUM FRAMEWORK

As one of State ‘s Higher Education Institutions, the Kalimantan Institute of Technology (ITK) must perform the education and teaching function as mandated by the tri dharma perguruan tinggi, then the function is regulated in academic regulations and implemented in business processes of attendance. Currently, the attendances data are recapitulated manually at week 15 by Academic Staff. The attendance process that has been running has several problems, namely prone to violations of the actual meeting realization and attendance count, recapitulation time that takes a long time, risk of data input errors and loss of presence sheet. Based on these problems, the attendance information system is developed (SIAP ITK). This research was conducted with the agile software development methodology with the scrum framework. The results of this research is an android  application following the business processes of attendance in ITK. Based on the testing result which was carried out during this research, SIAP ITK is considered capable of optimizing the attendance process that has been running at ITK

PENERAPAN ARTIFICIAL NEURAL NETWORK PADA PROTOTYPING SISTEM MONITORING KUALITAS AIR DI KOTA BALIKPAPAN UNTUK MENDUKUNG BALIKPAPAN SEBAGAI SMART CITY

Water quality plays an important role in the process of processing into clean water. Several parameters that support water quality monitoring are pH, temperature, TSS, BOD and DO. Water quality needs to be monitored regularly to find out whether the parameters have exceeded the quality standard or not, based on Government Regulation no. 22 of 2021 concerning the Implementation of Environmental Protection and Management in Appendix VI regarding the National Water Quality Standard. A water quality monitoring system is urgently needed to determine the feasibility of the consumption water. An artificial neural network is a neural network configured for a specific application, such as pattern recognition or data classification, and then refined through a learning process. This study aims to determine water quality through a quality index monitoring system and can predict water quality in the future in that place, so that the benefits that will be felt by residents are to become more aware and become more concerned about the environment, especially water is a basic or primary need. in everyday life. The stages of the research method include starting with a literature study and then a field survey followed by data collection on the water quality of the Manggar reservoir in Balikpapan, the raw data that has been obtained and then processed which is continued with data processing based on the Backpropagation method. After that, the system design can be carried out which is then continued with the system creation. The results of the study can be used as a basis and reference for follow-up on information systems on the water quality of the Manggar reservoir in Balikpapan City

Sistem Pakar Diagnosis Penyakit Pada Tanaman Pepaya Menggunakan Metode Backward Chaining Berbasis Web

Penelitian sistem pakar diagnosis penyakit pada tanaman pepaya ini bertujuan untuk merancang dan membangun suatu sistem untuk mediagnosa penyakit tanaman papaya. Model inferensi yang digunakan dalam pembuatan sistem pakar ini adalah penalaran mundur (Backward Chaining). Diharapkan dalam pembuatan sistem pakar dengan menggunakan metode Backward  Chaining  dalam penelitian  ini dapat membantu petani dalam melakukan  diagnosa awal  terhadap  suatu  penyakit  tanaman  pepaya dan memberikan solusi untuk mengatasi penyakit  pada tanaman pepaya tersebut. Hasil dari pembuatan Sistem Pakar ini mampu membuktikan kebenaran suatu penyakit papaya  dan memberi solusi dalam menangani penyakit pepaya tersebut. Pembuatan aplikasi  sistem pakar diagnosa penyakit pada tanaman pepaya berbasis web menggunakan bahasa pemograman PHP(Hypertext Preprocessor) dan Database MY Structured Query Language (MYSQL). &nbsp

Sistem Pendukung Keputusan Penerimaan Penghuni Rumah Susun Menggunakan Metode Weighted Product Berbasis Web

Sistem Pendukung Keputusan Penerimaan Penghuni Rumah Susun Menggunakan Metode Weighted Product Berbasis Web di bawah bimbingan Dwi Arief Prambudi, S.Kom.,M.Kom dan Erina Hertianti, S.Hut.,M.P. Teknologi informasi pada era sekarang ini, dapat membuat orang tertarik untuk menciptakan hal yang baru agar dapat lebih berguna dimasa yang akan datang.  Salah satu contoh dari penggunaan teknologi informasi pada zaman sekarang ini adalah komputer.  Berbagai fungsi  penggunaan komputer dalam berbagai hal seperti mengolah data, melakukan perhitungan matematika dan lain sebagainya.  Pemanfaatan komputer tidak hanya sebatas pengolahan data saja tetapi juga dimanfaatkan sebagai pemberi solusi terhadap masalah yang didapatkan seperti halnya sistem pendukung keputusan yang sangat bermanfaat bagi kita. Oleh karena itu, tujuan dari penelitian ini adalah membuat atau merancang sebuah sistem pendukung keputusan dalam menentukan pemilihan penghuni rumah susun, menerapkan metode Weighted Product untuk pemilihan penghuni rumah susun sebagai bahan pertimbangan bagi pengelola rumah susun. Metode Weighted Product merupakan  perkalian untuk  menghubungkan  rating atribut,  dimana rating setiap atribut  harus  dipangkatkan dengan  bobot  atribut yang bersangkutan.  Dalam perhitungan metode Weighted Product diperlukan normalisasi bobot terlebih dahulu.  Sistem ini membutuhkan masukan kriteria berdasarkan kebutuhan kepentingan calon pelamar rumah susun berupa antrian pendaftaran, kelompok masyarakat, penghasilan perbulan, fasilitas, dan jumlah penghuni peruangan. Hasil penelitian ini diharapkan dapat memberikan informasi sebagai bahan pertimbangan dalam pengambilan keputusan bagi instansi atau perusahaan yang memerlukan sesuai kriteria yang suda

Pemanfaatan Teknologi Informasi dalam Menunjang Profesionalitas Guru SDN 012 Balikpapan Utara

Advances in technology and science in the current era of globalization, especially in the field of computers. The ability to operate a computer is needed in various fields of work. This ability is not only familiar with computers globally, but also an elementary school teacher is required to be able to operate a computer as a learning medium and one way to complete the work that will be presented to students as well as efforts to increase knowledge competence in the field of computers, in accordance with the Government's target which aims to developing ICT programs and helping digital generations who are not technologically savvy. The design of training materials is expected to improve some of the teacher's abilities, including being able to make reports on student learning outcomes using Microsoft Word, Microsoft Excel and Power Point. Participants in this training were 20 teachers at SDN 012 North Balikpapan

Expert System Application of Forward Chaining and Certainty Factors Method for The Decision of Contraception Tools

The choice of contraceptive tools is not an easy thing because the risks or effects will give impact on the body that never using it previously. in the other side, there is no contraception always suit for everybody because the circumstances of each body is different, so the extensive knowledge must be needed to know the advantages and disadvantages of each contraceptive tools then adjusted to the user's body.The expert system for contraceptive tools uses Forward Chaining search method combined with Certainty Factors Method. These method value the patient’s indication. The Expert system gives the output data which define the kind of tool uses of the patient. the results obtained will be able to help people to find indications that lead to appropriate contraceptive tools and advice or suggestions about these tools. The success rate of the contraceptive tools decision experienced by experienced by the user by using forward chaining combined with the CF computation method is also influenced by the number of indication criteria selected by the user. Based on testing that has been done, expert system contraception tools has accuracy level equal to 75%

Expert System Application of Forward Chaining and Certainty Factors Method for The Decision of Contraception Tools

The choice of contraceptive tools is not an easy thing because the risks or effects will give impact on the body that never using it previously. in the other side, there is no contraception always suit for everybody because the circumstances of each body is different, so the extensive knowledge must be needed to know the advantages and disadvantages of each contraceptive tools then adjusted to the user's body.The expert system for contraceptive tools uses Forward Chaining search method combined with Certainty Factors Method. These method value the patient’s indication. The Expert system gives the output data which define the kind of tool uses of the patient. the results obtained will be able to help people to find indications that lead to appropriate contraceptive tools and advice or suggestions about these tools. The success rate of the contraceptive tools decision experienced by experienced by the user by using forward chaining combined with the CF computation method is also influenced by the number of indication criteria selected by the user. Based on testing that has been done, expert system contraception tools has accuracy level equal to 75%