MEANS (Media Informasi Analisa dan Sistem)

Perancangan Startup Aqibers Platform Penyedia Jasa Aqiqah Metode Lean Startup

Jum, 14 Jun 2024 00:00:00 +0200

Startup Aqibers is a platform providing aqiqah services that uses the Lean Startup method in its design. This method is used to optimize innovation, efficiency and resource management. In the design phase, Startup Aqibers focuses on identifying market needs through in-depth research. StratupAqibers aims to simplify the aqiqah process by providing an online platform that makes it easier for users to choose an aqiqah package, confirm orders and make payments. Through the use of Lean Startup methods, Aqibers was able to identify the key features most desired by customers, improve user experience, and reduce product development risk. By leveraging continuous customer feedback, Aqibers was able to quickly iterate on its platform, ensuring that the solution they created offer in line with changing market needs. In this way, Aqibers is expected to achieve sustainable growth and provide significant added value for consumers who are looking for practical and reliable aqiqah services.

Sistem Pakar Diagnosis Hama dan Penyakit pada Tanaman Padi menggunakan Metode Certainty Factor

Fatur Padilla Hutabarat, Yusuf Ramadhan Nasution — Jum, 14 Jun 2024 00:00:00 +0200

This study aims to develop a web-based expert system application using the Certainty Factor method to diagnose pests and diseases in rice plants. The system is designed to assist farmers, particularly in the Barus Subdistrict, Central Tapanuli Regency, in identifying and addressing pest and disease issues that frequently affect rice crops. The development process includes analysis, design, implementation, and testing of the application. Testing results indicate that the application successfully identifies pests and diseases with an accuracy rate of 95%, based on comparisons with manual diagnoses provided by experts. Additionally, the application is user-friendly, allowing farmers to easily select symptoms present in their rice plants and receive accurate diagnoses and appropriate solutions. The user-friendly interface further enhances the ease of use. This study differs from previous research in terms of the types of pests, symptoms, solutions, and the research location.

Pengembangan Sistem Pendukung Keputusan Rekrutmen Karyawan Terbaik Dengan Metode Weighted Product Di PT Morich Indo Fashion

Dian Rahmania Hidayati, Kustiyono — Jum, 14 Jun 2024 00:00:00 +0200

Karyawan terbaik merupakan salah satu asset Perusahaan yang mapu membuat Perusahaan berkembang. PT Morich Indo Fashion belum memiliki standarisasi SDA dalam menentukan karyawan terbaik. Sistem yang dirancang untung menghasilkan informasi dapat membantu Perusahaan untuk menilai kinerja karyawan dengan menggunakan data dan model dalam memecahkan masalah dengan menggunakan metode Weighted Product (WP). Konsep yang digunakan metode ini ialah dengan pembobotan rating suatu variable penilai Sistem Pendukung keputusan ini menggunakan 5 kriteria penilaian yaitu absensi karyawan, kemampuan karyawan kejujuran, Kerjasama tim dan tanggung jawab. Metode ini menghasilkan rekomendasi karyawan terbaik dengan nilai WP yang paling tinggi

Implementasi Sistem Informasi Manajemen Penerimaan Peserta Didik Baru (SIM-PPDB) Berbasis Microsite di SMP Negeri 3 Purwodadi Tahun 2023

Jum, 14 Jun 2024 00:00:00 +0200

The Microsite-Based New Student Admissions Management Information System (Sim-Ppdb) at SMP Negeri 3 Purwodadi in 2023 has not yet used a web-based information system. This information system is an information system that is used to help manage the implementation of PPDB activities. So that the management of activities can be controlled and recorded properly.In developing the PPDB management information system at SMP Negeri 3 Purwodadi using the waterfall method, the field study method and literature study were used for data collection. This information system is created using the PHP programming language and MySQL database server. The test method uses black box and usability testing.

The results of this study are a microsite-based information system that can make it easier for users, both prospective students, prospective parents and school committees, to access the microsite so that it can be controlled properly. The results of testing the developed software obtained a functionality value of 1 (Good), testing the usability aspect obtained a result with a percentage of 94.66% (Very Eligible).

Analisis Kepuasan Konsumen Menggunakan Metode Algoritma C4.5 Berbasis Rapidminer Pada PT. Adeaksa Indo Jayatama

Dian Nisrina, Kustiyono — Jum, 14 Jun 2024 00:00:00 +0200

In the era of globalization and digital 4.0, the development of technology and the internet plays an important role for human survival. PT. Adeaksa Indo Jayatama, as a provider of telecommunications and internet services, seeks to meet consumer needs with the DexaNet product which offers stable internet connections using fiber optic and wireless broadband. This research uses the C4.5 algorithm method and data mining using the RapidMiner platform to analyze consumer satisfaction. The research results show that the factors that influence consumer satisfaction are facilities and infrastructure, trusted providers, responsiveness, service quality, and stable network. The C4.5 algorithm implemented using RapidMiner has proven to be effective in analyzing customer satisfaction and providing valuable insights for the Company in improving service quality and customer satisfaction.

Konsep Komunikasi Data Antar Sistem Informasi Menggunakan Transmisi Kontrol Protokol (TCP)

Joko Triyono, Harmastuti, Robertus Tefa — Kam, 20 Jun 2024 00:00:00 +0200

Data communication between information systems is an important component in modern computer networks. The Input Process Output Cycle in an information system is something that will always happen and the output of an information system can become input for another information system, which is almost certain to happen. Current conditions cannot be denied that many information systems have been built and will always experience development. On the one hand, it is not easy to migrate to a new system, because in reality the old system is still stable. This research discusses the concept of data communication between information systems using Transmission Control Protocol (TCP). TCP is a protocol widely used in computer networks to ensure reliable data transmission between devices. From the research results, it was found that the TCP concept makes it possible to overcome data communication problems as expected.

Chatbot Telegram untuk Rekomendasi Pariwisata Daerah Semarang Menggunakan Framework Rasa

Abid Ridlo Alvinnajmi, R. Soelistijadi, Saefurrahman — Sel, 25 Jun 2024 00:00:00 +0200

Tourism is a leading industry in various countries because it can improve the country's economy. One city that has potential for tourism is Semarang, because this city has unique culture and beautiful nature. However, there are too many sources of information regarding tourist attractions such as the city of Semarang, which makes tourists sometimes confused about determining tourist destinations that suit their wishes at that time. Therefore, we need a system that can provide recommendations for tourism spots in a destination city. This research aims to develop a Question Answering System or digital question and answer system using a chatbot (ChatterBot). Chatbots are used as information service providers that can make it easier for tourists who are looking for information about tourist attractions. chat bot-based information service systems can work 24 hours or throughout the day, reducing the intensity of direct physical contact with officers and saving operational costs. The chatbot implementation is built on a Machine Learning Framework using RASA Open Source with the Python programming language. Basic knowledge of the chatbot system is drilled based on the FAQ (Frequently Asking Questions) dataset with tourism research objects in the Semarang area. The evaluation results and system performance based on data testing obtained a model accuracy level of 0.91. Furthermore, the weighted average value in the ConfusionMatrix produces a precision of 0.97, recall of 0.94, and an F1 score of 0.95. Training and processing models locally.

Pengembangan Sistem Informasi Manajemen Evaluasi Prestasi Lulusan Terbaik dengan Metode Fuzzy Simple Additive Weighting

Kustiyono, Agung Wibowo, Ade Pratama — Sel, 25 Jun 2024 00:00:00 +0200

Lulusan atau disebut wisudawan dalam proses kelulusan merupakan suatu proses akhir ketika mahasiswa telah menempuh semua proses akademik di sebuah perguruan tinggi. Wisudawan terbaik merupakan suatu bentuk pencapaian tertinggi dalam prosesi wisuda dan merupakan keberhasilan program studi dalam menghasilkan lulusan yang berdaya saing. Penelitian yang dihasilkan dengan metode Simple Additive Weighting dapat membantu dalam pengambilan keputusan dalam penilaian prestasi wisudawan terbaik pada kegiatan wisuda yang diambil 1 lulusan dari 10 kandidat terbaik. Metode Simple Additive Weighting adalah suatu metode pengambilan keputusan dengan konsep mencari nilai tertinggi dari rating prestasi pada setiap alternatif dalam semua atribut. Tujuan penelitian ini adalah memilih wisudawan terbaik di perguruan tinggi serta mengontrol capaian prestasi mahasiswa agar dapat mencapai target yang diharapkan.

Klasifikasi Kepribadian Myres-Briggs Type Indicator Menggunakan Metode TF-IDF dan Naive Bayes Classifier

Annisa C, Iwan Setiawan Wibisono — Sel, 25 Jun 2024 00:00:00 +0200

Tipe kerpibadian seseorang biasanya dapat diketahui dengan menggunakan psikotes. Salah satu jenis psikotes yang sering digunakan adalah Myres-Briggs Type Indicator (MBTI). Sebuah aplikasi berbasis web yang dapat melakukan klasifikasi tipe kepribadian seseorang berdasarkan cuitan di Twitter diharapkan dapat menjadi salah satu alternatif untuk mengetahui tipe kepribadian seseorang tanpa perlu mengikuti psikotes secara konvensional. Selain itu, hasil psikotes juga dapat diketahui secara langsung. Aplikasi ini dibuat dengan menggunakan teknik text mining, yaitu dengan menggunakan metode Term Frequency-Inverse Document Frequency (TF-IDF) dan metode klasifikasi Naive Bayes Classifier. Metode TF-IDF digunakan untuk memberikan pembobotan kata dari data training dan metode Naive Bayess Classifier digunakan untuk mengklasifikasikan data testing berdasarkan data yang telah dilatih sebelumnya. Data akan dibersihkan terlebih dahulu sebelum dilatih maupun diuji melalui proses preprocessing sehingga informasi yang dihasilkan dapat menjadi lebih akurat. Hasil dari penelitian ini adalah dari 100 data yang diuji, 71 data termasuk kategori klasifikasi benar sesuai dengan labelnya, sedangkan 29 data termasuk kategori klasifikasi salah karena hasil prediksi tidak sesuai dengan labelnya. Tingkat akurasi adalah sebesar 71% dengan rincian precision dan recall untuk kelas artisan sebesar 63% dan 68%, untuk kelas guardian sebesar 77% dan 68%, untuk kelas rational sebesar 64% dan 72%, dan untuk kelas idealist sebesar 83% dan 76%.

Pemeringkatan Calon Penerima Beasiswa SD Negeri 3 Wadas, Kendal Menggunakan Metode AHP-Copras

Dimas Satria Perdana, Setyawan Wibisono — Sel, 25 Jun 2024 00:00:00 +0200

The main obstacle in the selection process for scholarship recipients at SD Negeri 3 Wadas is that selection is only based on one or two criteria without considering other relevant factors, such as family economic conditions, academic achievement and student age, which can lead to uneven and uneven distribution of scholarships. right on target. This research aims to develop a ranking model for prospective scholarship recipients at SD Negeri 3 Wadas using the criteria of family income, number of family members, age of students, average grades, and income per person. The final results of the ranking show that prospective scholarship recipients with a small income per person, small family income, large family size will make prospective scholarship recipients the best choice, this is because the criteria for income per person and family income have the highest weight. On the other hand, scholarship recipients with a large income per person, a large family income and a small family size will be the lowest choice in the ranking list

Sistem Pendukung Keputusan Untuk Menentukan Kualitas Beras Dengan Menggunakan Metode WP (Weighted Product)

Nanang Irfan Syarifudin, Sri Mujiyono — Sel, 25 Jun 2024 00:00:00 +0200

Beras adalah komoditas makanan utama bagi hampir setiap negara di Asia, khususnya negara-negara Asia Tenggara. Tingginya permintaan konsumen untuk makanan berbasis beras membuat produsen beras kesulitan menentukan kualitas beras yang baik. Maka diperukan sebuah sistem pendukung keputusan untuk menentukan kualiatas beras yang terbaik dengan menggunakan metode Weighted Product (WP). Metode ini menggunakan perkalian untuk menghubungkan rating atribut, dimana setiap rating atribut harus dipangkatkan dahulu dengan bobot atribut yang bersangkutan. Metode ini hanya menghasilkan nilai terbesar yang akan dipilih sebagai alternatif terbaik. Perhitungan akan sesuai dengan metode jika alternatif yang terpilih memenuhi persyaratan yang telah diterapkan. Adapun kriteria yang terlah direkomendasikan pakar berdasarkan permasalahan yang terjadi yaitu warna, ukura, aroma, dan tekstur sehinga menghasilkan peringkat terhadap pemilihan kualitas beras terbaik yang pertama terbaik Beras Rojolele dengan nilai Vector = 0,23215, kedua terbaik Beras IR 64 dengan nilai Vector = 0,2178, ketiga terbaik Beras IR 42 dengan nilai Vector = 0,20015, keempat terbaik Beras Pandan Wangi dengan niali Vector = 0,18214, dan rangking terbaik yang terakhir yaitu Beras Methik Susu dengan nilai Vector = 0,16776.

Discrete Cosine Transform Algorithm Analysis of The Application of QR Codes on Birth Certificate Image Objects

Achmad Fauzi — Rab, 26 Jun 2024 00:00:00 +0200

Security and authentication of important documents such as birth certificates have become a major concern today and in the digital age. In this context, the use of watermarking technology is an effective solution to add additional information to digital documents without destroying their authenticity. The DCT method is used to convert images into the frequency domain, allowing the watermark to be added without disturbing the appearance of the document. Testing ensures that the watermarking process does not damage the appearance of the original document and that the watermark information can be accurately re-extracted. The research results show that the QR code watermark using the DCT method successfully provides secure and authentic birth certificates. The application of the Discrete Cosine Transform (DCT) method to the birth certificate QR code watermarking process was able to significantly improve document security and authentication without compromising document quality or important information. This thesis outlines the extensive steps in the practical application of the QR code watermark on birth certificates. From data preparation including birth certificate images and QR codes to the watermark conversion and extraction process, all steps are explained in detail. Thus, applying this watermarking technique can be an effective solution to protect the integrity of birth certificates and similar documents in the digital environment.

Analisis Sentimen Komentar Youtube Terhadap Food Vlogger Dengan Menggunakan Metode Naïve Bayes

Sulistia Maharani Harahap, Rakhamat Kurniawan — Min, 30 Jun 2024 00:00:00 +0200

YouTube is currently the media most frequently accessed by internet users in Indonesia with a percentage of 88%, then WhatsApp at 83%, Facebook at 81%, and Instagram at 80%. One of the themes that is often uploaded is about food reviews and people who upload them are called food vloggers. Food vloggers influence millennial audiences, namely before and after food consumption. The purpose of food review videos is to provide reviews of food in terms of taste, price, quality, atmosphere, etc. Other people also have the freedom to comment on food review videos. This research aims to analyze public sentiment towards food vloggers using data from YouTube social media. This research aims to analyze sentiment using the Naïve Bayes algorithm method for food vloggers used to analyze sentiment with an accuracy value of 44.8276%, precision of 16% or 0.16%, recall of 100% or 1.00%, and f1-score of 27% or 0.27%. This sentiment analysis can be a reference in understanding food vlogger preferences.