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IMPLEMENTASI METODE CERTAINTY FACTOR UNTUK MENGETAHUI TINGKAT EFEKTIVITAS PEMBELAJARAN ONLINE DI MASA PANDEMIC COVID-19

Panjaitan, Zaimah, Pane, Deski Helsa
Abstract: Abstract: During the COVID-19 pandemic, educational institutions were not allowed to carry out the face-to-face teaching and learning process as usual but were replaced with an online learning system. The offline learning… g system (outside the network) is very different from the online learning system whose effectiveness is not yet known. Meanwhile, effective learning is very important in the world of education. Effective learning provides maximum learning outcomes in accordance with the achievement plan. Certainty Factor is an expert system method that adopts expert knowledge that can be used to measure the effectiveness of online learning during the COVID-19 pandemic. This study aims to help parents and schools measure the level of effectiveness of online learning during the COVID-19 pandemic so that evaluations can be carried out for the development of more appropriate and better educational methods.   Keywords: Certainty Factor; Effectiveness Online Learning; Expert System   Abstrak: Di masa pandemic covid-19, lembaga pendidikan tidak diperbolehkan melakukan proses belajar mengajar secara tatap muka seperti biasanya namun digantikan dengan sistem pembelajaran online. Sistem belajar secara luring (luar jaringan) sangat berbeda dengan sistem belajar online yang belum diketahui efektivitasnya. Sementara itu, pembelajaran yang efektif sangat penting dalam dunia pendidikan. Pembelajaran yang efektif memberikan hasil pembelajaran yang maksimal sesuai dengan rencana pencapaian. Certainty Factor merupakan salah satu metode sistem pakar yang mengadopsi pengetahuan pakar yang dapat digunakan untuk mengukur tingkat efektivitas pembelajaran online dimasa pandemic covid-19. penelitian ini bertujuan membantu orang tua siswa dan pihak sekolah dalam mengukur tingkat efektivitas pembelajaran online selama masa pandemic covid-19 sehingga dapat dilakukan evaluasi untuk pengembangan metodependidikan yang lebih tepat  dan baik.   Kata kunci: Certainty Factor; Efektivitas Pembelajaran Online; Sistem Pakar;  

MONITORING SYSTEM AND PERFORMANCE MEASUREMENT USING WEBSITE-BASED BALANCED SCORECARD METHOD

Robby, Suhendra, Mutiah, Nurul, Russi, Ibnur
Abstract: Abstract : Directorate General of State Assets West Kalimantan Regional Office each year has a work program provided by the central DJKN that must be completed, The work program is carried out with the target set by the… central DJKN. DJKN has a standard method in measuring each work plan program, namely using the Balanced Scorecard method, But in its application there are still many processes in measuring and monitoring plans that are done manually so that business processes are carried out for a long time and are ineffective and without an information system, the monitoring process cannot be done in real time anywhere and anytime so that some work plans are late accordingly. with targets that will directly affect performance. This study aims to cut the manual business process by using a website-based performance monitoring and measurement system so that it is hoped that the performance monitoring process can be carried out optimally in real time and easily. The results of this research are in the form of a website-based performance monitoring and measurement system that has been tested for system functionalities and system interfaces by obtaining results according to each functional system and system interface available and testing for users at the Directorate General of State Assets West Kalimantan Regional Office obtaining a percentage of 88.55 % . . Keywords : Balanced Scorecard ; DJKN ; Monitoring ; Performance Measurement   Abstract : Directorate General State Assets (DGST ) West Kalimantan Regional Office every year year have a given work program by the central DJKN which must completed , work program implemented with the target that has been set by the central DJKN . DJKN has standard method in measure every program plan work that is use the Balanced Scorecard method, but in implementation still many processes in measure and monitoring plan work done manually so that the business processes that are run eat long time and no effective as well as without existence system information make the monitoring process not can done by realtime everywhere and any time so that make a number of plan work late no in accordance with a target that direct will influence performance . Study this aim cut those manual business processes with use monitoring system and measurement performance web -based so that expected performance monitoring process could done by maximum with easy and realtime , Results study this in the form of monitoring system and measurement performance based on a website that has been tested functional system and interface system  with get results in accordance will every functional system and interface existing system _ and testing to users at the West Kalimantan Regional Office DJKN get results percentage 88.55%.   Keywords: Balanced Scorecard ; DJKN ; Monitoring ; Performance Measurement

IMPLEMENTATION OF THE SAW METHOD IN THE SCHOLARSHIP DECISION SUPPORT SYSTEM

Nastiti, Faulinda Ely, Pamungkas, Ardian, Sopingi, Sopingi -
Abstract: Abstract: The number of applicants for scholarship recipients is many, so in the registration process, the scholarship provider provides several requirements that students must meet, and these requirements have criteria… with different weight values. The number of applicants for the scholarship recipients is enormous; a Decision Support System (DSS) is needed to help the selection process be more accessible and faster and reduce errors in determining scholarship recipients. The data collection method uses interviews, observations, and literature with the waterfall's system development method. The calculation of the criteria used in developing this system is the Simple Additive Weighting (SAW) method. Comparing the final results between manual and system analyses shows that the equation is close to 100%. Still, the final results may be different because manual calculations use raw values, while system calculations use the Simple Additive Weighting (SAW) method, which compares alternatives. .             Keywords: decision support system; scholarship; simple additive weighting     Abstrak: Pendaftar calon penerima beasiswa tidak sedikit jumlahnya, sehingga pada proses pendaftaran pihak pemberi beasiswa memberikan sejumlah persyaratan yang harus dipenuhi oleh siswa, dan persyaratan tersebut memiliki kriteria dengan nilai bobot yang berbeda-beda. Jumlah siswa yang mengajukan beasiswa sangat banyak, dan memerlukan sistem pendukung keputusan untuk mempermudah dan mempercepat proses seleksi serta mengurangi kesalahan dalam menentukan penerima beasiswa. Metode dalam mengumpulkan data menggunakan metode wawancara, observasi, dan literatur dengan metode pengembangan sistem menggunakan waterfall. perhitungan kriteria yang digunakan dalam pengembangan sistem ini adalah metode SAW (Simple Additive Weighting). Perbandingan hasil akhir antara perhitungan manual dan sistem menunjukkan persamaan mendekati 100%, namun hasil akhir bisa saja berbeda karena perhitungan manual menggunakan nilai mentah, sedangkan perhitungan sistem menggunakan metode SAW (Simple Additive Weighting) yang perhitungan dengan cara membandingkan alternatif.     Kata kunci: beasiswa; simple additive weighting; sistem pendukung keputusan

IMPLEMENTASI SISTEM PAKAR PENGENDALIAN INTERNAL PEMBERIAN KREDIT RUMAH MENGGUNAKAN METODE FORWARD CHAINING

Christy, Tika, Yuma, Febby Madonna, Efendi, Zulfan
Abstract: Abstrak: Tujuan praktis dari kecerdasan buatan adalah membuat komputer lebih bermanfaat bagi manusia. Kecerdasan buatan dapat membantu manusia membuat keputusan, menemukan informasi yang lebih akurat atau membuat komputer… r lebih mudah digunakan dengan tampilan alami untuk membuatnya mudah dimengerti. Pada kenyataannya, sistem permohonan kredit bertujuan untuk memberikan kemudahan serta layanan yang tepat sesuai kebutuhan nasabah, dan juga memberikan suatu pedoman serta syarat-syarat dalam permohonan kredit dengan jelas agar nasabah mengerti bagaimana prosedur dalam mengajukan permohonan kredit. Adapun resiko yang dihadapi dari Bank SUMUT seperti tunggakan kredit atau kredit macet. Oleh karena itu, dibutuhkanlah kecermatan pihak internal bank dalam melakukan analisa. Ini bertujuan untuk mempelajari Sistem Pakar dengan metode Forward Chaining dan masalah untuk mengetahui apakah tindakan yang akan diambil oleh pihak internal dalam memproses pemberian kredit rumah sesuai aturannya.   Kata kunci: kredit; runut maju; sistem pakar     Abstract: The practical goal of artificial intelligence is to make computers more useful to humans. Artificial intelligence can help humans make decisions, find more accurate information or make computers easier to use with natural displays to make them easy to understand. The credit application system aims to provide convenience and appropriate services according to customer needs, and also provides clear guidelines and conditions for credit applications so that customers understand the procedure for applying for credit. The risks faced by Bank SUMUT such as credit arrears or bad loans. Therefore, it takes the accuracy of the bank's internal parties in conducting the analysis. This aims to study the Expert System with the Forward Chaining method and the problem to find out whether the actions that will be taken by internal parties in processing home loans are following the rules.   Keywords: credit; expert system; forward chaining

STRATEGIC PLANNING OF SYSTEM INFORMATION STAFF PONDOK PESANTREN WITH ZACHMAN FRAMEWORK APPROACH

STT, Latjuba Sofyana, Anardani, Sri
Abstract: Abstract: The ABC Islamic boarding school is one of the Islamic boarding schools in Madiun Regency, in addition to the Islamic boarding schools in the Islamic boarding school there are also SMP and SMA which are under the… e same foundation. The ABC Islamic boarding school also applies information technology as a companion to its operational activities. The large number of employees and teachers in Islamic boarding schools, junior high schools and senior high schools creates difficulties in the staffing division for management. The management method that is currently running in the personnel department is deemed insufficient, because the existing information technology to support their work has not yet functioned optimally to support the strategy. The zachman framework is chosen so that planning is carried out in strategic steps, easy to understand and can be a control for future information system development. The results of this research are in the form of a blueprint for the system design which is mapped in the form of a Zachman matrix from the perspective of the Planner and Owner.             Keywords: Information Systems, Strategic Planning, Zachman's Framework     Abstrak: Pondok pesantren ABC merupakan salah satu Pondok Pesantren yang ada di Kabupaten Madiun, selain pondok pesantren di lingkungan ponpes tersebut juga terdapat SMP dan SMA yang dinaungi satu yayasan yang sama. Pondok pesantren ABC juga menerapkan teknologi informasi sebagai salah satu pendamping kegiatan operasional nya. Banyaknya karyawan dan guru yang terdapat di pondok pesantren, SMP dan SMA menimbulkan kesulitan pada bagian kepegawaian untuk pengelolaannya. Cara pengelolaan yang sedang berjalan di bagian kepegawaian dirasa tidak lagi mencukupi, karena teknologi informasi yang ada untuk menunjang pekerjaan mereka belum berfungsi optimal sebagai pendukung strategi. Kerangka kerja zachman dipilih agar perencanaan dilakukan dengan langkah-langkah yang strategis, mudah dipahami dan bisa menjadi  kontrol untuk pengembangan sistem informasi ke depan. Hasil penelitian ini berupa blue print rancangan sistem yang dipetakan didalam bentuk matrik Zachman yang dilihat dari sudut pandang Planner dan Owner.   Kata kunci: Kerangka kerja Zachman, Perencanaan Strategis, Sistem Informasi  

THE DESIGN OF INFORMATION SYSTEMS FILING OUTPATIENT MEDICAL RECORDS

Astuti, Dewi Listiawati, Gunawan, Hafsah Ghina Ghaida, Sari, Irda, Kurniawati, Rina, Yuniarty, Neneng
Abstract: Abstract: The system information section filing in UPT Puskesmas Rahayu to submit a medical record file to any of the poly, assembling medical records, store medical records, retention medical records are already inactive.… e. This research aims to design and create a system of information filing outpatient medical records in UPT Puskesmas Rahayu in terms of borrowing and return the medical record file as well as facilitate the retention of medical records with the use of qualitative methods. The Data used in the study in UPT Puskesmas Rahayu, namely interviews, observation, and FGD (Focus Group Discussion). This study shows the input data of the patients is in accordance with UPT Puskesmas Rahayu. Input patient data include No RM, the Name of the KK, the Patient's Name, Gender, Address, and Villages. This research resulted in the information system of medical record filing outpatient procedures that can facilitate the officer in the management of the filing of medical records.             Keywords: borrowing and return; medical record filing; puskesmas   Abstrak: Sistem informasi bagian filing di UPT Puskesmas Rahayu untuk mengirimkan berkas rekam medis ke setiap poli, assembling rekam medis, menyimpan rekam medis, meretensi rekam medis yang sudah in aktif. Penelitian ini bertujuan untuk merancang dan membuat sistem informasi filing rekam medis rawat jalan di UPT Puskesmas Rahayu dalam hal peminjaman dan pengembalian berkas rekam medis serta mempermudah dalam retensi rekam medis dengan menggunakan metode kualitatif. Data yang digunakan dalam penelitian di UPT Puskesmas Rahayu yaitu wawancara, observasi dan FGD (Focus Group Discussion). Penelitian ini menunjukkan input data pasien sudah sesuai dengan yang ada di UPT Puskesmas Rahayu. Input data pasien meliputi No RM, Nama KK, Nama Pasien, Jenis Kelamin, Alamat, dan Kelurahan. Penelitian ini menghasilkan sistem informasi rekam medis filing rawat jalan yang dapat mempermudah petugas dalam pengelolaan filing rekam medis.   Kata kunci: peminjaman dan pengembalian; puskesmas; rekam medis filing

DESIGN INFORMATION SYSTEM ONLINE REGISTRATION VACCINE COVID-19 AT RSAU DR. M. SALAMUN

Syahidin, Yuda, Mahpud, Elza Dewiana, Tarigan, Debora Serina Br, Hidayati, Meira
Abstract: Abstract: The entry of Covid-19 into Indonesia has caused many people to be affected, for example is delay in many activities and the increasing spread of the virus that affects public panic. One way to prevent the spread… d of the virus is the vaccination. Vaccination is the process of administering the vaccine that is useful for providing immunity to a certain disease in a person’s body. With vaccination, it will strengthen the community’s immune system. To make it easier for the public, vaccination registration can be done online now. Filling in the data can be done from home, so that it does not cause long queues that allow the risk of new clusters. The public will get proof of registration, which must be screenshots in the form of a barcode accompanied by a queue number and any prerequisites that must be brought when they come to. On the other hand, it will also be easier for health workers to confirm the suitability of the registered data with the person who came for the vaccine. The research used is descriptive research with observational and interview methods. The design of this system using the web with PHP programming language and MySQL database.   Keywords: information system; registration; vaccination     Abstrak: Masuknya Covid-19 ke Indonesia menyebabkan banyaknya masyarakat yang terkena dampaknya, contohnya yaitu terhambatnya banyak aktivitas dan meningkatnya penyebaran virus mempengaruhi kepanikan masyarakat. Salah satu cara untuk mencegah penyebaran virus ini adalah dengan melakukan vaksinasi. Vaksinasi adalah proses pemberian vaksin yang berguna untuk memberikan kekebalan terhadap suatu penyakit tertentu ke dalam tubuh seseorang. Dengan adanya vaksinasi, maka akan memperkuat sistem imun masyarakat. Untuk mempermudah masyarakat maka saat ini pendaftaran vaksinasi dapat dilakukan secara online. Pengisian data dapat dilakukan dari rumah, agar tidak menyebabkan antrian panjang yang memungkinkan adanya resiko cluster baru. Masyarakat akan mendapatkan bukti pendaftaran yang harus di screenshoot berupa barcode disertai nomor antrian dan persyaratan apa saja yang wajib dibawa saat akan datang melakukan vaksinasi. Di sisi lain, petugas kesehatan pun akan lebih mudah dalam mengonfirmasi kesesuaian data yang terdaftar dengan orang yang datang melakukan vaksin. Penelitian yang digunakan adalah penelitian deskriprif dengan metode observasional dan wawancara. Perancangan sistem ini dilakukan menggunakan web dengan bahasa pemrograman PHP dan database MySQL.   Kata Kunci: registrasi; sistem informasi; vaksin

IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK IN PREDICTING BIRTH RATE IN BATAM CITY USING BACKPROPAGATION METHOD

Jufri, Muhammad
Abstract: Abstract: The population growth in Indonesia is increasing rapidly every year, so to help the government control the population growth through family planning programs, especially in the city of Batam. This study explains… s and describes one of the Artificial Terms Network methods, namely Backpropagation, where this method can predict what will happen in the future using data and information in the past. This study aims to predict the birth rate in the city of Batam to help the government with the family planning program. The data used is the annual data on the number of births in the city of Batam in 2016-2020 at The Civil Registry Office. To facilitate the analysis of research data, the data were tested using Matlab R2015b. In this study, the training process was carried out using 3 network architectures, namely 4-10-1, 5-18-1, and 4-43-1. Of these 3 architectures, the best is the 4-43-1 architecture with an accuracy rate of 91% and an MSE value of 0.0012205. The Backpropagation method can predict the amount of population growth in the city of Batam based on existing data in the past.             Keywords: artificial neural network; backpropagation; prediction     Abstrak: Pertumbuhan jumlah penduduk diindonesia yang setiap tahun meningkat dengan pesat, maka untuk membantu pemerintah mengendalikan jumlah pertumbuhan penduduk melalui program keluarga berencana khususnya dikota Batam. Penelitian ini  menjelaskan dan memaparkan tentang salah satu metode Jaringan Syarat Tiruan yaitu Backpropagation, dimana metode ini dapat memprediksi apa yang akan terjadi masa yang akan datang dengan menggunakan data dan informasi dimasa lalu. Penelitian ini bertujuan untuk memprediksi tingkat kelahiran di kota Batam sehingga membatu pemerintah untuk perencanaan keluarga berencana. Data yang digunakan yaitu data tahunan jumlah kelahiran di kota Batam pada tahun 2016-2020 pada Dinas Kependudukan dan Catatan Sipil. Untuk mempermudah analisis data penelitian maka, data diuji menggunakan Matlab R2015b. Pada penelitian ini dilakukan proses pelatihan menggunakan  3 arsitektur jaringan yaitu 4-10-1, 5-18-1, dan 4-43-1. Dari ke-3 arsitektur ini yang terbaik adalah arsitektur 4-43-1 dengan tingkat akurasi sebesar 91% dan nilai MSE 0,0012205. Metode backpropagation mampu memprediksi jumlah pertumbuhan penduduk di kota Batam berdasarkan data yang ada dimasa lalu.   Kata kunci: backpropagation; jaringan syaraf tiruan; prediksi  

SISTEM INFORMASI IT-HELPDESK UNIVERSITAS LABUHANBATU BERBASIS WEB

Fauzi, Muhammad, Masrizal, Masrizal, Sihombing, Volvo
Abstract: Abstract: The reporting system for the use of Information and Communication Technology (ICT) facilities in the Labuhanbatu University Campus still uses a simple method. As a result, the Head of the Communication Center,… Technicians and Users of ICT facilities have difficulty in dealing with problems that arise. The purpose of this research is to build a more effective and efficient problem reporting system. The system built is a Web-based IT-Helpdesk Information System by implementing a Ticketing System. The method used in developing this system is the System Development Life Cycle with the Waterfall model. While the modeling language used in the design is Unified Modeling Language (UML). System testing is done by applying the Blackbox Testing method. After going through the implementation and testing stages, the IT-Helpdesk system can work more effectively and efficiently in responding to problem reports sent by users. With the IT-Helpdesk, Admins and Users can track the process of working on the problem until it is finished. Admin is also facilitated in documenting reports, both in the form of a diagram display, or in the form of a document file that can be downloaded.             Keywords: blackbox testing; IT-helpdesk; information system; ticketing system; UML     Abstrak: Sistem pelaporan masalah penggunaan fasilitas Teknologi Informasi dan Komunikasi (TIK) di Lingkungan Kampus Universitas Labuhanbatu masih menggunakan cara sederhana. Akibatnya, Kepala Puskom, Teknisi dan Pengguna fasilitias TIK mengalami kesulitan dalam menangani masalah yang muncul. Tujuan dari penelitian ini untuk membangun sebuah sistem pelaporan masalah yang lebih efektif dan efisien. Sistem yang dibangun adalah Sistem Informasi IT-Helpdesk berbasis Web dengan menerapkan Ticketing System. Metode yang digunakan dalam mengembangkan sistem ini adalah System Development Life Cycle dengan model Waterfall. Sedangkan bahasa pemodelan yang digunakan pada perancangan adalah Unified Modeling Language (UML). Pengujian sistem dilakukan dengan menerapkan metode Blackbox Testing. Setelah melalui tahapan implementasi dan pengujian, sistem IT-Helpdesk dapat bekerja lebih efektif dan efisien dalam merespons laporan masalah yang dikirim oleh User. Dengan adanya IT-Helpdesk, Admin dan User dapat melakukan tracking terhadap proses pengerjaan masalah sampai selesai. Admin juga dimudahkan dalam mendokumentasikan laporan, baik dalam bentuk tampilan diagram, maupun dalam bentuk file dokumen yang dapat diunduh.   Kata kunci: blackbox testing; IT-helpdesk; sistem informasi; ticketing system; UML        

PERBANDINGAN ALGORITMA KLASIFIKASI SUPPORT VECTOR MACHINE DAN NAIVE BAYES PADA IMBALANCE DATA

Puspita, Chika Enggar, Pratiwi, Oktariani Nurul, Sutoyo, Edi
Abstract: Abstract: Question classification is a computer science system, which aims to analyze questions and can label each question based on existing categories. Questions can be collected from several materials or topics that are… re many and different. Therefore, the researcher intends to create a classification system for quiz questions Data Warehouse and Business Intelligence which can be grouped into topics Data Warehouse, Business Intelligence, Data Analytics, and Performance Measurement. One way to solve this problem is by approach machine learning. In this study, researchers used a comparison of machine learning algorithms, namely the algorithm NaïveBayes and SupportVectorMachine using SMOTE and methods Cross-Validation The results of this study show the best accuracy results and are very helpful. The results obtained in the method cross-validation before SMOTE resulted in an accuracy rate of 82.02% for the results after going through the SMOTE stage of 94.79% on the algorithm Naïve Bayes, while the algorithm SupportVectorMachine get accuracy of 81.39% in the process before SMOTE for the results after going through SMOTE of 96.52%.  Keywords: Cross-Validation; Machine Learning; Naive Bayes; Support Vector Machine; Question Classification     Abstrak: Klasifikasi pertanyaan merupakan sebuah sistem ilmu komputer, yang bertujuan untuk menganalisis pertanyaan serta dapat memberi label pada setiap pertanyaan berdasarkan kategori yang ada. Pertanyaan soal dapat dikumpulkan dari beberapa materi atau topik yang banyak dan berbeda. Oleh karena itu, bermaksud untuk membuat sistem klasifikasi pertanyaan soal kuis Data Warehouse dan Business Intelligence yang dapat dikelompokkan menjadi topik Data Warehouse, Business Intelligence, Data Analitik, dan Pengukuran Kinerja. Cara  yang dapat dilakukan untuk permasalahan ini dengan menggunakan pendekatan MachineLearning. Pada penelitian kali ini menggunakan perbandingan algoritma MachineLearning yaitu algoritma NaïveBayes dan SupportVectorMachine menggunakan metode SMOTE dan Cross-Validation. Hasil penelitian ini menunjukkan hasil akurasi yang terbaik dan sangat membantu. Hasil yang diperoleh pada metode cross-validation sebelum SMOTE menghasilkan tingkat akurasi sebesar 82.02% untuk hasil sesudah melalui tahap SMOTE sebesar 94.79 %  pada algoritma Naïve Bayes, sedangkan pada algoritma Support Vector Machine menghasilkan akurasi sebesar pada proses sebelum SMOTE 81.39% untuk hasil sesudah melalui SMOTE sebesar 96.52%.   Kata kunci: Klasifikasi Pertanyaan; Pembelajaran Mesin; Naive Bayes; Support Vector Machine; Cross-Validation