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Jurnal Informatika Upgris
Published by Universitas PGRI Semarang
ISSN : 24604801     EISSN : 24776645     DOI : -
Core Subject : Science,
Computer Science & IT
Journal of Informatics UPGRIS published since June 2015 with frequency 2 (two) times a year, ie in June and December. The editors receive scientific writings from lecturers, teachers and educational observers about the results of research, scientific studies and analysis and problem solving closely related to the field of Information Technology and Communications / Informatics.
Arjuna Subject : -
Articles 25 Documents
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Search results for , issue "Vol 8, No 1: Juni 2022" : 25 Documents clear
Apk Absensi Dengan Kolaborasi Fingerprint Dan SMS Gateway Menggunakan Framework Codeignitier Pada SMKN 1 Lobalain, Rote Ndao Yermias Jaher Ite Leuhoe; Robert Nomensen Sesun
Jurnal Informatika Upgris Vol 8, No 1: Juni 2022
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v7i2.8414

Abstract

Vocational High School (SMK) Negeri 1 Lobalain is one of the formal education channels that provides vocational education at the secondary education level located in Rote Ndao Regency, East Nusa Tenggara Province. In improving education, cooperation from parents is needed because educating students to be disciplined is not only the responsibility of the school, but parents must also be actively involved in monitoring student attendance. One of the things that must be improved in improving the quality of education is attendance. The problem at SMK Negeri 1 Lobalain is the student attendance system which is done manually so that it has an impact on attendance manipulation. As technology develops rapidly, fingerprint technology provides attendance and avoids the manipulation of attendance data. Based on the problems that have been defined, the author aims to make an attendance Apk with fingerprints and an SMS gateway using the Codeigniter Framework, it is hoped that by making this Apk it can help schools and parents in improving the quality of education at SMKN 1 Lobalain.
Sistem Pelaporan Kesehatan Ibu dan Anak Berbasis Web (Studi Kasus: Desa Sinar Palembang Lampung Selatan) Sevi Andriasari; Muhammad Ferdiansyah
Jurnal Informatika Upgris Vol 8, No 1: Juni 2022
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v7i2.8497

Abstract

Abstract—Nowadays, maternal and child health services on midwife at Sinar Palembang Village continue to face challenges in providing services to patients. To overcome these challenges, one of them is by developing a maternal and child health reporting system. The method used to develop this system is Xtreme Programming (XP) with levels such as design, analysis, planning, implementation, evaluation, deployment and maintenance. As well as the design method with Usecase Diagrams, Activity Diagrams, Class Diagrams and implementation planning. After building an information system to manage maternal and child health reporting, the existing problems can be overcome with a patient data collection system, which can be processed quickly compared to using a manual system, designed and engineered related to the problem which is existed on midwife at Sinar Palembang Village, South Lampung, in in order to improve the quality of services for patients in general, including their services. Abstrak—Saat ini pelayanan kesehatan ibu dan anak di Bidan Desa Sinar Palembang terus menghadapi tantangan dalam memberikan pelayanan kepada pasien. Untuk mengatasi tantangan tersebut, salah satunya dengan mengembangkan sistem pelaporan kesehatan ibu dan anak. Metode yang digunakan untuk mengembangkan sistem ini adalah eXtreme Programming (XP) dengan tingkatan seperti desain, analisis, perencanaan, implementasi, evaluasi, penyebaran dan perawatan. Serta metode perancangan menggunakan Usecase Diagram, Aktivity Diagram, Class Diagram dan perencanaan implementasi. Setelah membangun sistem informasi untuk mengelola pelaporan kesehatan ibu dan anak, permasalahan yang ada dapat diatasi dengan sistem pendataan pasien, yang dapat diolah dengan cepat dibandingkan dengan menggunakan sistem secara manual, dirancang dan direkayasa terkait permasalahannya yang bertempat di Desa Bidan Sinar Palembang Lampung Selatan, dalam rangka meningkatkan kualitas pelayanan bagi pasien secara umum termasuk juga pelayanannya.
Decision Support System For Employee Performance Assessment To Determine The Status Of Reward Level Operator And Foreman Using Adaptive Neuro Fuzzy Inference System (Anfis) sandy Irawan; Judi Prajetno Sugiono
Jurnal Informatika Upgris Vol 8, No 1: Juni 2022
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v7i2.6767

Abstract

Employees are required to have a good work ethic in order to advance their company. This causes many companies to motivate their employees in various ways. The general goal is for better and more stable employee performance so that it benefits the company. Rewards are given to employees who excel and are able to achieve certain targets, this is more effective in motivating employees than punishment so that it can be a source of motivation for employees to work optimally. In giving rewards, sometimes employees do not match the results of their performance and without applying good calculations. For that we need a recommendation system to support employee performance appraisal to get rewards. One of the methods used is the Adaptive Neuro Fuzzy Inference System (ANFIS) method. This method was chosen because it is able to complete employee performance appraisals based on predetermined criteria and is used as a reference in giving rewards. The amount of data obtained and will be used is a number of 537 employee data which will be divided into two data, namely training data which functions as a model of 524 data and test data which functions to test the system of 13 data. The training set uses a regression algorithm to form an employee performance appraisal model. This model is a representation of knowledge that will be used to predict the reward status of operator and foreman level employees
Penerapan QR Code Untuk Media Pelayanan Absensi Mahasiswa AMIK Dian Cipta Cendikia Didi Susianto; Reni Astika; Yuli Syafitri
Jurnal Informatika Upgris Vol 8, No 1: Juni 2022
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v7i2.8496

Abstract

Abstract—Attendance is something that must be done by students. In the attendance process, the AMIK Dian Cipta Cendikia College still uses the manual method. Therefore, we need a student attendance system that can collect data and manage data so that it can be done quickly, efficiently and accurately. One of technology developed is QR Code. QR Code is an essential thing because of its ability to store larger data so that it can provide fast and accurate services. One of the things that can be done to support the author in designing an Application of QR Code for Attendance Service Media for student in AMIK Dian Cipta Cendikia is by using the Extreme Programming research method. The purpose of this application is expected to make the attendance process will be more efficient and can be easily monitored by lecturers and by the academic department. The results of this research were in the form of a student attendance application that uses a QR code. It is used as the input media for student attendance based on a local network implemented in order to create an attendance information system that provides convenience for students in the attendance process, reduces fraud committed by students, and facilitates reports when conducting recapitulation. Abstrak—Absensi merupakan hal yang wajib dilakukan oleh mahasiswa. Dalam Proses absensi, di Perguruan Tinggi AMIK Dian Cipta Cendikia masih menggunakan cara manual. Oleh karena itu, diperlukan suatu sistem absensi mahasiswa yang dapat mengumpulkan dan menyimpan data tersebut sehingga dapat diolah dengan cepat, efisien dan akurat. Salah satu teknologi yang sedang berkembang saat ini adalah QR Code, QR Code sangat dibutuhkan karena kemampuannya menyimpan data yang lebih besar sehingga mampu memberikan layanan yang cepat dan akurat. Salah satu hal yang dapat dilakukan untuk mendukung penulis merancang sebuah Penerapan QR Code Untuk Media pelayanan Absensi Mahasiswa AMIK Dian Cipta Cendikia dengan menggunakan metode penelitian Extreme Programming. Tujuan dari penelitian ini adalah terbentuknya sistem absensi sehingga proses akan lebih efisien dan dapat dipantau dengan mudah oleh dosen dan oleh bagian akademik. Hasil dari penelitian ini berupa aplikasi absensi mahasiswa yang menggunakan QR code sebagai media masukan kehadiran mahasiswa berbasis jaringan lokal yang diimplementasikan agar terciptanya sebuah sistem informasi absensi yang memberikan kemudahan mahasiswa dalam proses absensi, mengurangi tindak kecurangan yang dilakukan oleh mahasiswa, serta memudahkan laporan ketika melakukan rekapan laporan.
Sistem Pendukung Keputusan Untuk Menentukan Customer Segment Pasar Salah Satu UMKM Di Bandung ( Foodendez ) Dengan Metode Decision Tree Baramukti Dewayana; Ari Purnomo Wahyu Wibowo
Jurnal Informatika Upgris Vol 8, No 1: Juni 2022
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v7i2.9039

Abstract

 Abstract Foodendez is a UMKM in Bandung which is well known for its products, namely Uthi & Mies Krispi Patin Fish Skin which is a best seller product at Foodendez. This business has been running for about 5 years.In these 5 years Foodendez already has its own customer / market segment for the sale of this Foodendez product, however, this Foodendez has a problem predicting the customer / market segment for product sales from Foodendez, this is not suitable. expected expectations, because in analyzing / predicting customers / market segments still using a simple method or it can only be said to only use initial predictions by guessing roughly what estimates are known from the business plan or by other methods that make this Foodendez product get the wrong customer / segment that market It is expected that before hand or can be said to change and have an effect which makes Foodendez's turn over change insignificantly, and until recently Foodendez has not had a customer / market segment that is truly significant or as expected, for example is the sale of Krispi Patin Fish Skin that is predicted by the customer. the segment is more people > 18 years old but it turns out that < 18 years old people also like Krispi Patin Fish Skin products and offline and online sales where it is predicted that online sales will get a significant gain, which turns out to be more income in offline sales. So the authors provide a solution with the design / scheme of Decision Support Systems that will determine the customer segment and market segment which will later find out which market segment and customer segment are more significant and know which targets are suitable for products from Foodendez so that Foodendez UMKM can know what steps must be taken to set clear and significant targets by looking at the results of the percentage of enthusiasts and the turnover given by the Decision Tree method. The method of activities carried out is taken by collecting data with the interview method. The result of this activity is a Decision Support System design / scheme where the design / scheme is the result of determining a more detailed and significant customer segment / market segment and according to what the owner of Foodendez UMKM wants. Keywords: Decision Tree , Customer Segment , Market Segment , Foodendez , Uthi & Mies
Aplikasi Pencari Tempat Magang Berbasis Android Menggunakan Metode Agile Scrum Ammar Musthofa Firdaus; Dedy Agung Prabowo
Jurnal Informatika Upgris Vol 8, No 1: Juni 2022
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v8i1.12029

Abstract

Internship is a process that is an obligation to be carried out in the academic process at the Telkom Institute of Technology Purwokerto, however with various media sources used in finding internships, students have problems in finding suitable internships. This study aims to apply Agile Scrum and Simple Additive Weighting in making applications to find a suitable internship place. Agile Scrum is used as a method of continuous application development, Simple Additive Weighting is used as a method in determining recommendations based on existing input. Application testing is carried out using Black Box Testing which tests the success of the function in carrying out its scenario and User Acceptance Test which is used as a benchmark in the suitability of the application with user needs. The results of this study are an android application in the form of an apk that was tested using Black Box Testing and got valid results in all scenarios and had a score of 87% on the User Acceptance Test
Adaptasi Digital Marketing berbasis Website untuk Produk UMKM Fatikha Sweet Honey Toto Haryadi; Dimas Irawan Ihya&#039; Ulumuddin; Dwi Puji Prabowo; Afif Mas’udi Ihwan
Jurnal Informatika Upgris Vol 8, No 1: Juni 2022
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v8i1.11524

Abstract

Honey is one of health supplements which bought by people to prevent Covid-19 symptoms. This is an opportunity for Fatikha Sweet Honey to introduce its products. However, the currently applied digital marketing strategy only focus on Facebook and Instagram media, which rarely get a response from consumers. It needs digital marketing media which can present a variety of product information such as: photos, benefits, variants, how to order, and so on. Based on these considerations, the website becomes a right digital marketing medium. This study focuses on adapting the website as a medium to introduce and sell honey products. The study used qualitative methods, supported by data searches through indirect interviews, observation, and literature studies. Website adaptation using MDLC. The result is a website as main media for promoting and selling Fatikha Sweet Honey products. The output of this research is expected to be useful for increasing sales of it and can be further developed into a marketplace application.
PERANCANGAN PRESENTASI SEBAGAI MEDIA PEMBELAJARAN MENGGUNAKAN COURSELAB DI SMK PEMBINA BANGSA BUKITTINGGI Fer Nandes; Sarwo Derta
Jurnal Informatika Upgris Vol 8, No 1: Juni 2022
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

ABSTRAKFernandes, 2515074  “Perancangan Presentasi sebagai media pembelajaran menggunakan Courselab di SMK Pembina Bangsa Bukittinggi”. Program Studi Pendidikan Teknik Informatika dan Komputer, Fakultas Tarbiyah dan Ilmu Keguruan Isntitut Agama Islam Negeri (IAIN) Bukittinggi.Berdasarkan observasi penulis di SMK Pembina Bangsa Bukittinggi diduga kenyataan belajar Simulasi Digital masih terdapat kendala, seperti media visual yang dipakai kurang menarik sehingga kemampuan siswa dalam materi pembelajaran Simulasi Digital menjadi tidak maksimal. media pembelajaran Simulasi Digital dibutuhkan karena siswa ingin melihat secara jelas sistem komputer bukan sekedar gambar saja dalam penjelasan mata pelajaran. Minat belajar siswa kurang semangat, dan juga materi yang disampaikan tidak dapat diserap dengan baik karena media yang digunakan guru kurang menari. Metode penelitian yang digunakan adalah metode penelitian Research and Depvelopment (R&D), yaitu sebuah metode yang digunakan untuk menghasilakan sebuah sistem, Model R&D yang digunakan adalah versi 4D yaitu define, design, develop, dan disseminate dalam penelitian ini penulis menerapkan model pengembangan multimedia versi Luther-Sutopo. Menurut Luther Sutopo, model model pengembangan multimedia ini terdiri dari enam tahapan, yaitu concept (pengonsepan), design (pendesainan), material collecting (pengumpulan materi), assembly (pembuatan), testing (pengujian) dan distribution (pendistribusian).Berdasarkan hasil penelitian yang peneliti lakukan,peneliti berhasil membuat sebuah media pembelajaran menggunakan aplikasi courselab di SMK Pembina Bangsa Bukittinggi . Hasil uji validitas yang dilakukan oleh ahli komputer dengan memperoleh nilai rata-rata 0,64 yang  menunjukan produk ini valid. Hasil uji dari Praktikalitas, penulis mendapat nilai rata-rata yaitu 88,48 yaitu sangat praktis. Dan pada uji Efektifitas penulis mendapatkan nilai rata-rata 0,87 yaitu sangat tinggi.Kata Kunci : Perancangan, Media, Pembelajaran, Presentase, Courselab, Metode R&D versi 4D, pengembangan Luther Sutopo
Sistem Monitoring dan Pendukung Keputusan Kualitas Udara di Kota Semarang Menggunakan IoT Agus Alwi Mashuri; Nely Zulfa
Jurnal Informatika Upgris Vol 8, No 1: Juni 2022
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v8i1.7532

Abstract

Air is one of the most important elements of life for living things in the world. For humans, the air is an element that is very concerned because it is related to health. In Jakarta, the Air Pollution Standard Index (ISPU) is ranked second as the capital city of a country with poor air quality. Air quality in Jakarta is monitored by an Air Quality Index (AQI) of 160 with parameters in the form of very small pollutant particles with a diameter of fewer than 2.8 micrometres (PM 2.8). The Indonesian government has made efforts to reduce the air pollution index, such as reducing the number of vehicles with odd-even systems, users of environmentally friendly transportation modes such as MRT, LRT, Trans and clearing green lands in the city centre.The purpose of this research is how we make a tool that can determine the quality of the air around us and can be carried (portable) anywhere easily. By the 4.0 industrial revolution that everything has been integrated with the Internet of Things (IoT) technology where the public can find out the air condition in real-time. In this research, later using the prototype method as a test. The main components are sensors consisting of MQ-6 (CO2 and smoke), MQ-7 (CO, LPG, CH4), MQ135 (Butane, AirQuality), and DHT-11 (Humidity, temperature)From the research that has been done where the air quality in urban areas has a low air quality index by measuring it using a prototype consisting of a gas sensor and Arduino microcontroller which has been made to produce an average CO2 of 25 ppm, CO 2330 which has exceeded the threshold, while NH3 1.23 and C4H10 1120 are still below the threshold. These values are influenced by pollutants generated by transportation such as motorbikes, cars, and land transportation
PREDIKSI SENTIMEN MASYARAKAT TERHADAP PENGGUNAAN VAKSIN COVID 19 MENGGUNAKAN RNN dwi puji prabowo; Ricardus anggi pramunendar; Rama Aria Megantara
Jurnal Informatika Upgris Vol 8, No 1: Juni 2022
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v8i1.11599

Abstract

Memahami sentimen dari opini publik terkait vaksin COVID-19 merupakan tantangan untuk meningkatkan penerimaan vaksin di masyarakat. Analisis sentimen telah memberikan banyak manfaat termasuk di bidang kesehatan. Analisis Sentimen dapat membantu memberikan gambaran yang dirasakan dan dipikirkan oleh para penerima vaksin. RNN merupakan salah satu metode deep learning yang sering diterapkan untuk penelitian analisis sentimen. RNN dengan arsitekur LSTM telah terbukti unggul dibandingkan metode deep learning lainnya dalam menyelesaikan tugas analisis sentimen. Penelitian ini mengusulkan model RNN-LSTM yang menerapkan arsitektur Bidirectional Layer (Bi-LSTM) agar penyerapan informasi kontekstual data lebih optimal karena data input diproses secara forward dan backward. Serta menambahkan mekanisme variational dropout pada layer LSTM untuk mendapatkan model yang optimal dan terhindar dari overfitting. Namun, keberhasilan dan keoptimalan model deep learning sangat bergantung pada ukuran dataset, jenis tugas dan penentuan parameternya. Dalam penelitian ini eksperimen terhadap nilai parameter arsitektur model dilakukan untuk mendapatkan model yang optimal dalam melakukan analisis sentimen opini publik terkait Vaksin COVID-19. Sehingga parameter terbaik didapatkan untuk model Bi-LSTM ini yaitu seperti berikut: maxlen =50, embedding size= 300, recurrent unit = 50, variational dropout = 0.25, optimizer Nadam, dan epoch = 100. Hasil evaluasi menunjukkan model BI-LSTM ini mampu melakukan analisis sentimen terhadap opini publik terkait vaksin COVID-19 ke dalam tiga kelas sentimen (positif, netral dan negatif) dengan baik dan mendapatkan akurasi sebesar 89.15% dengan rata-rata presisi 88%, recall 89% dan F1-score 88.43%

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