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INDONESIA
Indonesian Journal of Applied Informatics
Published by Universitas Sebelas Maret
ISSN : 25483846     EISSN : 25985981     DOI : -
Core Subject : Science,
Computer Science & IT
Indonesian Journal of Applied Informatics publishes articles that are of significance in their respective fields whilst also contributing to the discipline of informatics as a whole and its application. Every incoming manuscript will first be examined by the Editorial Board in accordance with sub-fields of research and attention to elements of conformity with the format and guidelines for writing Indonesian Journal of Applied Informatics. Each manuscript is declared eligible by the editor will be returned to the author (if there are repairs) or can be directly issued (if there is no revision required).
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Articles 8 Documents
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Search results for , issue "Vol 8, No 2 (2024)" : 8 Documents clear
Peringkasan Teks Berita Berbahasa Indonesia Menggunakan LSTM dan Transformer Christina Prilla Rosaria Ardyanti; Yudi Wibisono; Rani Megasari
IJAI (Indonesian Journal of Applied Informatics) Vol 8, No 2 (2024)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijai.v8i2.78856

Abstract

Abstrak Pertumbuhan informasi di internet membuat volume data tekstual semakin besar. Hal ini membuat manusia kesulitan dalam mengolah informasi dengan cepat. Peringkasan teks dapat membantu manusia untuk memahami informasi dalam jumlah yang banyak dengan cepat. Pada penelitian ini, arsitektur encoder-decoder akan diimplementasikan pada dataset Indosum menggunakan Long Short Term Memory (LSTM) dengan tambahan  mekanisme atensi dan Transformer. Ujicoba juga dilakukan menggunakan  fine-tuning pada pre-trained model T5-Small dan BART-Small. Eksperimen juga dilakukan dengan membandingkan dataset yang menggunakan praproses dan tanpa praproses. Berdasarkan eksperimen, model LSTM-Atensi memiliki kinerja rendah  dengan nilai ROUGE-L sebesar 13.0 pada dataset yang menggunakan praproses. Sedangkan nilai ROUGE-tertinggi didapatkan dari hasil fine-tuning T5-Small dengan nilai sebesar 66.2.===================================================AbstractThe proliferation of information on the internet has led to an increasing volume of textual data. This presents a challenge for humans in processing information rapidly. Text summarization can aid humans in quickly comprehending large amounts of information. In this research, an encoder-decoder architecture will be implemented on the Indosum dataset using Long Short-Term Memory (LSTM) along with attention mechanisms and Transformer. Experiments will also involve fine-tuning pre-trained models T5-Small and BART-Small. The influence of preprocessing will also be studied through experiments. Based on the experiments, the LSTM-Attention model demonstrates poor performance with an ROUGE-L score of 13.0 on the preprocessed dataset. Conversely, the highest ROUGE score was achieved through fine-tuning T5-Small, scoring 66.2.
Deteksi Dini Gejala Stres pada Mahasiswa Berdasarkan Faktor-Faktor Penyebabnya Menggunakan Metode Logistic Regression Auliya Afifah Adnan Hakim; Rizal Adi Saputra; Statiswaty Statiswaty
IJAI (Indonesian Journal of Applied Informatics) Vol 8, No 2 (2024)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijai.v8i2.83441

Abstract

Abstrak Di era saat ini, kesehatan mental seringkali diabaikan dibandingkan dengan kesehatan fisik. Hal ini sangat berlaku bagi mahasiswa yang berjuang dengan tekanan yang meningkat dalam kehidupan kuliah. Oleh karena itu, ada kebutuhan mendesak untuk solusi yang dapat mendukung kesehatan mental, salah satunya adalah metode Logistic Regression. Penelitian ini menegaskan efektivitas metode Logistic Regression dalam memprediksi dan mendeteksi dini gejala stres berdasarkan faktor penyebabnya. Eksplorasi fitur dan parameter mengungkap variasi tingkat akurasi, mencapai puncak 95%, diikuti oleh 88% dan 61%. Menganalisis hasil menggunakan Counseling_Service_Use sebagai output menunjukkan keahlian model dalam memprediksi hasil positif, meskipun dengan kecenderungan untuk memprediksi data negatif sebagai positif, dan sebaliknya. Sementara itu, model yang menggunakan Chronic_Illness dan Stress_Level sebagai output menunjukkan kinerja luar biasa dalam memprediksi semua kelas. Secara keseluruhan, penelitian ini memberikan dukungan kuat untuk efektivitas Logistic Regression dalam memprediksi gejala stres, memperkaya pemahaman tentang penerapannya dalam konteks kesehatan mental. Ini menunjukkan bahwa metode ini dapat digunakan sebagai alat yang efektif untuk deteksi dini gejala stres.===============================================AbstractIn the current era, mental health often takes a backseat compared to physical health. This is particularly true for students who are grappling with the increasing pressures of college life. Therefore, there is an urgent need for solutions that can support mental health, one of which is the Logistic Regression method. This study affirms the effectiveness of the Logistic Regression method in predicting and early detecting symptoms of stress based on their causative factors. Exploration of features and parameters revealed variations in accuracy rates, reaching a peak of 95%, followed by 88% and 61%. Analyzing results using Counseling_Service_Use as the output demonstrated the model’s proficiency in predicting positive outcomes, albeit with a tendency to predict negative data as positive, and vice versa. Meanwhile, models employing Chronic_Illness and Stress_Level as outputs exhibited outstanding performance in predicting all classes. Overall, this research provides robust support for the effectiveness of Logistic Regression in predicting stress symptoms, enriching the understanding of its application in the context of mental health. This shows that this method can be used as an effective tool for early detection of stress symptoms.
Rancang Bangun Hand Sanitizer Otomatis Berbasis Mikrokontroler Muhammad Sholihul Abdillah
IJAI (Indonesian Journal of Applied Informatics) Vol 8, No 2 (2024)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijai.v8i2.83499

Abstract

Abstrak Tangan merupakan salah satu media penyebaran virus corona dan penyakit lain yang disebabkan oleh kuman, bakteri, dan virus yang tertinggal pada tangan setelah beraktivitas. Oleh karena itu, membersihkan tangan sangat penting dilakukan oleh setiap orang untuk mencegah penyebarannya. Hand sanitizer merupakan pembersih tangan yang memiliki kemampuan antibakteri dalam menghambat hingga membunuh bakteri, membuat mencuci tangan lebih praktis tanpa harus menggunakan air mengalir dan sabun. Namun, di tempat umum, penggunaan hand sanitizer masih banyak diterapkan secara manual, seperti pengambilan dengan menekan wadahnya, yang bisa menjadi sarang virus dan bakteri. Hal ini tidak efisien, dan pemakaian hand sanitizer belum optimal kebersihannya. Penelitian ini akan menganalisis pembuatan alat hand sanitizer otomatis berbasis mikrokontroler agar dapat digunakan dengan mudah, efisien, dan praktis. Alat ini dirancang bekerja secara otomatis untuk mengeluarkan cairan dengan sensor ultrasonik berdasarkan jarak objek yang ditentukan pada source code. Alat ini dilengkapi HMI (Human Module Interface) menggunakan Arduino Uno dan dapat bekerja dengan baik setelah pengujian. Hasil penelitian menunjukkan persentase error jarak objek yang terbaca oleh sensor ultrasonik dari sepuluh data dengan tiga kali percobaan. Persentase error tertinggi terdapat pada data pertama dengan nilai 5 cm, terjadi pada percobaan II dengan nilai sebesar 20% dan rata-rata 6,67%. Persentase error terendah bernilai 0,00% pada data kedua dan kesembilan.===============================================AbstractHands are one of the media for the spread of the Corona virus and other diseases caused by germs, bacteria, and viruses left on hands after activities. Therefore, hand cleaning is essential for everyone to prevent its spread. Hand sanitizer is a hand cleaner with antibacterial capabilities to inhibit and kill bacteria, making hand washing more practical without using running water and soap. However, in public places, the use of hand sanitizer is still mostly applied manually, such as pressing the container, which can harbor viruses and bacteria. This is inefficient, and the use of hand sanitizer is not yet optimally hygienic. This research will analyze the creation of a microcontroller-based automatic hand sanitizer device, to be used easily, efficiently, and practically. This device is designed to work automatically to dispense liquid using an ultrasonic sensor based on the object's distance specified in the source code. This device is equipped with HMI (Human Module Interface) using Arduino Uno and can work well after testing. The research results show the error percentage of the object's distance read by the ultrasonic sensor from ten data points with three trials. The highest error percentage was in the first data point, valued at 5 cm, occurring in the second trial with a value of 20% and an average of 6.67%. The lowest error percentage was 0.00% in the second and ninth data points. 
Soil Temperature and Moisture Forecasting Using Exponential Smoothing Method Based on Mean Absolute Percentage Error Muhamad Nur Azmi Wahyudi; Cucuk Wawan Budiyanto; Mohd. Shafie bin Bakar
IJAI (Indonesian Journal of Applied Informatics) Vol 8, No 2 (2024)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijai.v8i2.73272

Abstract

Soil is an essential medium for almost all plants. Temperature and moisture in the soil become one of the factors that affect plant growth. Unbalanced or unfavorable soil conditions will adversely affect the plant. Therefore, soil conditions, including temperature and moisture, must be monitored to maintain plant health. Forecasting can be used to find out the soil condition in the future so that strategies can be prepared to deal with these conditions. This forecasting is carried out based on existing soil temperature and moisture data, which is then processed using the exponential smoothing method and mean absolute percentage error as a reference for the error rate or accuracy of the forecasting. The application of these methods succeeded in producing forecasting with very good overall accuracy.
Front Matter Vol 8 No 2 ijai ijai
IJAI (Indonesian Journal of Applied Informatics) Vol 8, No 2 (2024)
Publisher : Universitas Sebelas Maret

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Abstract

Sistem Informasi Pendaftaran Dan Monitoring Service Pada DFN Computer Berbasis Web Taufiq NurHidayat; Rudi Susanto; Vihi Atina
IJAI (Indonesian Journal of Applied Informatics) Vol 8, No 2 (2024)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijai.v8i2.77692

Abstract

Abstrak  DFN Computer  merupakan usaha jasa service perangkat komputer yang menangani semua perangkat keras (hardware) maupun perangkat lunak (software). Pendaftaran service masih manual dengan pelanggan datang langsung ke toko dan juga menghubungi melalui WhatsApp. Monitoring service pelanggan hanya bisa menanyakan sejauh mana proses service-nya menggunakan WhatsApp. Dalam pembuatan dan pengelolaan laporan data service masih dikelola secara manual atau melakukan pencatatan menggunakan kertas diteruskan dikelola di Excel. Untuk memenuhi kebutuhan dalam pembuatan laporan, pengolahan data monitoring service maupun transaksi service diatas maka dibutuhkan sistem informasi berbasis website yang mudah diakses oleh semua orang. Metode yang digunakan menggunakan metode waterfall yang meliputi Requirement, Design, Implementation,Verification, Maintenance. Sistem informasi yang telah dibangun berhasil menampilkan dan mengelola data pelanggan, data harga, data service, data monitoring service, dan laporan transaksi yang bisa diakses oleh owner dan teknisi. Pengujian blackbox mendapatkan hasil yaitu bahwa sistem yang dibuat sudah baik, dalam membantu proses monitoring service maupun transaksi service, mempercepat pengolahan data, dan dari hasil user acceptance testing bahwa berdasarkan dari 30 responden yang terdiri dari 1 owner, 2 Teknisi, 27 Pelanggan didapatkan hasil Sangat setuju 48,02 %, Setuju 47,34 %, Netral 4,64 %, Tidak setuju 0%, dan Sangat tidak setuju 0%. ================================================= Abstract DFN Computer is a computer equipment service business that handles all hardware and software. Service registration is still manual with customers coming directly to the store and also contacting via WhatsApp. Monitoring customer service can only ask how far the service process is using WhatsApp. In making and managing data service reports, it is still managed manually or recording using paper is continued to be managed in excel. To meet the needs for making reports, monitoring service data processing and service transactions above, a website-based information system is needed that is easily accessible to everyone. The method used uses the waterfall method which includes Requirements, Design, Implementation, Verification, Maintenance. The information system that has been built successfully displays and manages customer data, price data, service data, service monitoring data, and transaction reports that can be accessed by owners and technicians. Blackbox testing got the result that the system created was good, in assisting the process of monitoring services and service transactions, speeding up data processing, and from the results of user acceptance testing that based on 30 respondents consisting of 1 owner, 2 technicians, 27 customers, the results obtained Strongly agree 48.02%, Agree 47.34%, Neutral 4.64%, Disagree 0%, and Strongly disagree 0%.
Back Matter Vol 8 No 2 ijai ijai
IJAI (Indonesian Journal of Applied Informatics) Vol 8, No 2 (2024)
Publisher : Universitas Sebelas Maret

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Abstract

Pemodelan User Interface dan User Experience pada Website E-Commerce Bitcom Computer Menggunakan Metode User Centered Design Tobi Fiambodo Syech Maulana; Hanifah Permatasari; Intan Oktaviani
IJAI (Indonesian Journal of Applied Informatics) Vol 8, No 2 (2024)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijai.v8i2.78310

Abstract

Abstrak Bitcom Computer adalah sebuah toko komputer yang menyediakan berbagai aksesoris dan peralatan IT, layanan servis komputer, serta pemasangan CCTV. Permasalahan yang terjadi di Bitcom Computer adalah proses pencatatan transaksi masih menggunakan nota tulis, sulitnya merekap laporan penjualan, dan kurang maksimalnya promosi layanan. Solusi awal yang dapat ditawarkan adalah membuat pemodelan UI/UX website e-commerce, dikarenakan UI/UX merupakan faktor penting agar pengguna dapat merasa nyaman saat menggunakan sebuah website/aplikasi. Penelitian skripsi ini bertujuan untuk menjelaskan pemodelan UI/UX website e-commerce Bitcom Computer menggunakan metode User Centered Design (UCD) yang memiliki 5 tahap, yaitu Plan the User-Centered Process, Specify the Context of Use, Specify the User and Organizational Requirements, Produce Design Solutions, dan Evaluate the Designs Against Requirements. Rancangan UI/UX dibuat dalam bentuk prototype menggunakan Figma. Jumlah partisipan dalam penelitian ini sebanyak 15 orang, terdiri dari 3 kategori yaitu pihak internal Bitcom Computer, pelanggan Bitcom Computer, dan masyarakat umum. Prototype berhasil diujikan kepada 15 partisipan tersebut dengan sekali perbaikan menggunakan platform Maze Design dan dibuat menjadi 3 jenis skenario pengujian yaitu pengujian untuk customer, manajer dan admin Bitcom Computer. Skor akhir usability diperoleh sebesar 97 untuk skenario customer, serta masing-masing skor usability sebesar 100 pada skenario manajer dan admin Bitcom Computer. Dengan demikian menunjukkan bahwa prototype desain website e-commerce Bitcom Computer mudah digunakan dan sesuai dengan kebutuhan pengguna.=================================================AbstractBitcom Computer is a computer shop that provides various accessories and IT equipment, computer service services, and CCTV installation. The problems that occur at Bitcom Computer are that the process of recording transactions still uses written notes, the difficulty of recapitulating sales reports, and the lack of maximum service promotion. The initial solution that can be offered is to model the UI/UX of an e-commerce website, because UI/UX is an important factor so that users can feel comfortable when using a website/application. This thesis research aims to explain the UI/UX modeling of the Bitcom Computer e-commerce website using the User Centered Design (UCD) method which has 5 stages, namely Plan the User-Centered Process, Specify the Context of Use, Specify the User and Organizational Requirements, Produce Design Solutions, and Evaluate the Designs Against Requirements. The UI/UX design is made in prototype form using Figma. The number of participants in this study were 15 people, consisting of 3 categories, namely Bitcom Computer internal parties, Bitcom Computer customers, and the general public. The prototype was successfully tested on 15 participants with one fix using the Maze Design platform and made into 3 types of test scenarios, namely testing for customers, managers and admins of Bitcom Computer. The final usability score was 97 for the customer scenario, and each usability score was 100 for the Bitcom Computer manager and admin scenario. This shows that the Bitcom Computer e-commerce website design prototype is easy to use and meets user needs.

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