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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 300 Documents
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Analisis Kepatuhan Keamanan pada Aplikasi Olahraga Falah, Muhammad Dary; Bernadi, Ivan Pramudhana; Candrawati, Vania Farah; Rakhmawati, Nur Aini
Jurnal Informatika UPGRIS Vol 7, No 2: Desember 2021
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v7i2.9666

Abstract

Dalam situasi pandemi COVID-19 saat ini menyebabkan sebagian masyarakat khawatir untuk berolahraga di luar ruangan. Tetapi kini sudah terdapat aplikasi yang dikembangkan untuk membantu pengguna berolahraga secara mandiri di dalam rumah. Berbagai fitur aplikasi dapat dimanfaatkan oleh pengguna seperti program-program olahraga disertai tutorial per gerakan, kemudian untuk pengguna yang hobi berjalan, berlari, dan bersepeda ada aplikasi yang menyediakan pelacakan rute melalui GPS. Agar pengguna dapat menggunakan fitur tersebut tentunya akan ada data yang dikumpulkan oleh pihak aplikasi. Pada penelitian ini akan dilakukan analisis mengenai keamanan aplikasi olahraga menggunakan metode observasi data analitik berdasarkan izin-izin akses data pengguna yang diminta dan juga kepatuhan pihak pengembang aplikasi terhadap kebijakan Privacy Policy Google. Hasil dari analisis yang dilakukan pada 20 sampel aplikasi olahraga, didapatkan 16 aplikasi membutuhkan dangerous permission untuk meminta akses data pengguna. Hasil lain yang didapatkan adalah tingkat kepatuhan pengembang aplikasi terhadap kebijaka Privacy Policy Google adalah 100%.
Sistem Pendukung Keputusan Untuk Menentukan Customer Segment Pasar Salah Satu UMKM Di Bandung ( Foodendez ) Dengan Metode Decision Tree Dewayana, Baramukti; Wibowo, Ari Purnomo Wahyu
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
Analisa Uji Kebergunaan Aplikasi Gojek Menggunakan System Usability Scale (SUS) Dalai, Hastuti R; Nanja, M.
Jurnal Informatika UPGRIS Vol 7, No 2: Desember 2021
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v7i2.9878

Abstract

The online motorcycle taxi application in Indonesia is an application created by a company engaged in transportation services, one of which is PT. Gojek Indonesia (GOJEK). In Gorontalo Province, GOJEK is focusing on cooperation with Bentor (motorcycle becak) which is one of the transportation used by the people of Gorontalo on a daily basis. Gojek collaborated with Bentor in May 2018, this shows that Gojek has only been used by the Gorontalo community. Because the Gojek application is still a new application for the Gorontalo community, there are still many people who are confused about using the application. Therefore, in this study a usability test is needed to measure the usefulness of the Go-Jek application based on the experience of the Gorontalo community, both those who become bentor drivers and the public who use this online transportation service. by using questionnaires and a usability scale (SUS) system that can be used to analyze data from the Gojek application usability test, the results of data analysis carried out using the Usability Scale (SUS) System, from 100 respondents using the Gojek application as general users the average value obtained given are 69 and 15 respondents who use the Gojek application as a driver, the average value given is 72, the two values obtained indicate that the application is a product or system that is categorized as Good. This is obtained based on the opinions given by users by filling out questionnaires. This shows that the Gojek application in the eyes of the user needs to be improved so that it is easy to understand and use, especially the Gojek user interface for general users. Because this is evidenced by the answers of 100 respondents to the questions symbolized by x, there are 16 people who answered agree, 8 people answered strongly agree and 7 people answered doubtfully that respondents need help from technical people to be able to use the Gojek application.
Deep Learning Untuk Entity Matching Produk Kamera Antar Online Store Menggunakan DeepMatcher Akbar, Adam; Fano, Nisrina Fadhilah; Rakhmawati, Nur Aini
Jurnal Informatika UPGRIS Vol 7, No 2: Desember 2021
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v7i2.7265

Abstract

Dalam bidang ilmu Computer Science, Entity Matching telah menjadi tantangan tersendiri bagi beberapa peneliti. Beberapa berusaha mengembangkan algoritma entitiy matching untuk meningkatkan akurasi. Penelitian ini akan menguji DeepMatcher sebagai representasi Entity Matching yang menggunakan Deep Learning dengan melakukan pencocokan entitas terhadap studi kasus pencocokan produk kamera pada dua online store menggunakan empat algoritma pemelajaran berbeda yang dimiliki oleh DeepMatcher yakni Smooth Inverse Frequency, Bidirectional RNN, Decomposable Attention Model, dan Hybrid Model. Dengan membangun dataset dan model pemelajaran, DeepMatcher dapat melakukan pencocokan secara mandiri pada data yang belum dimasukkan sebelumnya. Hasil pencocokan tersebut akan diukur menggunakan f-measure untuk kemudian dianalisa kehandalannya. Hasil pengujian menunjukkan bahwa janis pemelajaran pada DeepMatcher yang paling cocok untuk digunakan dalam melakukan entity matching pada produk kamera antar online store adalah Bidirectional RNN dengan rata-rata skor F1 yang dihasilkan adalah 61,546
Aplikasi Pencari Tempat Magang Berbasis Android Menggunakan Metode Agile Scrum Firdaus, Ammar Musthofa; Prabowo, Dedy Agung
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 Haryadi, Toto; Ulumuddin, Dimas Irawan Ihya'; Prabowo, Dwi Puji; Ihwan, Afif Mas’udi
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 Nandes, Fer; Derta, Sarwo
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 (RD), yaitu sebuah metode yang digunakan untuk menghasilakan sebuah sistem, Model RD 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 RD versi 4D, pengembangan Luther Sutopo
Sistem Monitoring dan Pendukung Keputusan Kualitas Udara di Kota Semarang Menggunakan IoT Mashuri, Agus Alwi; Zulfa, Nely
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 prabowo, dwi puji; pramunendar, Ricardus anggi; Megantara, Rama Aria
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%
PENGARUH PERAN KEPALA SEKOLAH, KOMITMEN KERJA DAN MOTIVASI KERJA TERHADAP KEPUASAN KERJA GURU SMP NEGERI DI WILAYAH KANDEMAN KABUPATEN BATANG Adi Edy Suswanto
Jurnal Informatika Upgris Vol 8, No 1
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v8i1.11583

Abstract

Adi Edy Suswanto.2022.”Pengaruh Peran Kepala Sekolah, Komitmen Kerja, Motivasi Kerja terhadap Kepuasan Kerja Guru SMP Negeri Wilayah Kandeman Kabupaten Batang”. Tesis. Pembimbing 1; Dr. Ngasbun Egar, S.Pd, M.Pd, Pembimbing 2; Dr. Yovitha Yuliejantiningsih, M.Pd.Penelitian ini dilatarbelakangi oleh rendahnya kepuasan kerja guru SMP Negeri di Wilayah Kandeman Kabupaten Batang diduga dipengaruhi oleh peran kepala sekolah, komitmen kerja dan motivasi kerja. Tujuan penelitian ini untuk mengetahui : (1) pengaruh peran kepala sekolah terhadap kepuasan kerja guru. (2) pengaruh komitmen kerja terhadap kepuasan kerja guru. (3) pengaruh motivasi kerja terhadap kepuasan kerja guru. (4) pengaruh peran kepala sekolah, komitmen kerja, dan motivasi kerja secara bersama-sama terhadap kepuasan kerja guru SMP Negeri di Wilayah Kandeman Kabupaten Batang.Jenis penelitian yang digunakan adalah kuantitatif pendekatan deskriptif korelasional dengan populasi sebanyak 158 guru yang tersebar di 6 sekolah dengan sampel 113 guru yang dipilih secara proporsional random sampling. Uji validitas, reliabilitas, normalitas, linieritas data dan uji hipotesis menggunakan program SPSS for Windows Release 20.0.Hasil penelitian menunjukkan bahwa (1) ada pengaruh signifikan peran kepala sekolah terhadap kepuasan kerja guru sebesar 60,5% namun masih terdapat kekurangan pada dimensi motivator; (2) ada pengaruh signifikan komitmen kerja sebesar 52,3% namun masih terdapat kekurangan pada dimensi komitmen afektif; (3) ada pengaruh signifikan motivasi kerja terhadap kepuasan kerja guru sebesar 58,4% ; (4) ada pengaruh signifikan peran kepala sekolah, komitmen kerja dan motivasi kerja terhadap kepuasan kerja guru di SMP Negeri di Wilayah Kandeman Kabupaten Batang sebesar 70% dengan persamaan regresi Ŷ = 7.220 + 0,310 X1+ 0,233 X2 + 0.295 X3.Disarankan kepada kepala sekolah untuk mengoptimalkan dimensi motivator dengan menggerakkan seluruh warga sekolah untuk meningkatkan prestasi dan menumbuhkan motivasi kerja. Kepada guru untuk meningkatkan loyalitas dan tanggung jawab disesuaikan dengan tugas pokok dan fungsi serta menjalin kerja sama dalam menyelesaikan tugas sebagai teamwork dalam menyelesaikan masalah pembelajaran.

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