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All Journal Seminar Nasional Informatika (SEMNASIF) Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Jurnal Informatika Dan Tekonologi Komputer
Wydyanto Wydyanto
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Computer Science & IT Control & Systems Engineering Other

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ALAT MATA-MATA PENDETEKSI PENCURI BERBASIS MIKROKONTROLER PIC16F84” Wydyanto Wydyanto
Seminar Nasional Informatika (SEMNASIF) Vol 1, No 3 (2013): Computation And Instrumentation
Publisher : Jurusan Teknik Informatika

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

Abstract

Saat ini dunia pertelekomunikasian menjadi semakin meningkat. Komunikasi lintas  pulau ataupun lintas negara bukan merupakan hal yang baru lagi.  Terlebih dengan semakin majunya teknologi telepon selular saat ini. Jarak seakan bukan lagi menjadi kendala.Disaat yang sama, kemajuan dalam bidang elektronika juga semakin meningkat. Apalagi dengan telah berkembangnya teknologi mikrokontroler yang memungkinkan kita membuat alat kontrol yang hanya berukuran cukup kecil saja berkat adanya teknologi ini. Penggabungkan antara teknologi telepon selular yang mampu mengirimkan suara dari jarak yang sangat jauh dengan kemampuan mikrokontroler sebagai alat kontrol memungkinkan kita untuk membuat alat mata-mata ini. Alat mata-mata adalah sebuah alat keamanan yang dapat dipasang dirumah atau mobil yang dapat melindungi rumah/mobil tersebut dari tangan-tangan jahil yang tidak diharapkan.   Mungkin calon pencuri memang akan kabur, namun tetangga anda akan pusing menghentikan suara alarm yang meraung-raung tersebut. Selain itu anda juga tidak tahu bahwa rumah yang anda tinggalkan sudah akan dimasuki pencuri maka alat akan segera mengirimkan suara kepada pemilik rumah.
Pembuatan Sistem Informasi Geografis (SIG) untuk Pemetaan Lokasi dan Informasi Data Pembangunan Jalan di Kota Palembang Muhammad Ramandha Satrya; Wydyanto Wydyanto
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 4 No. 1 (2026): Januari : Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v4i1.1504

Abstract

 Road infrastructure development is an important factor in supporting community mobility and equitable regional development. However, road construction data management in Palembang City still faces various problems, such as scattered data, lack of integration, and not yet presented in a map-based visual form. This study aims to implement a Geographic Information System (GIS) as a medium for location mapping and presenting road construction data information in Sematang Borang and Kalidoni Districts, Palembang City. The methods used include field observation, road construction data collection and verification, GPS coordinate point retrieval, spatial and non-spatial data processing, and the development of a GIS system based on interactive digital maps. The results of the study indicate that the system is able to present road construction information in a structured, accurate, and easily accessible manner. This GIS helps improve the efficiency of the monitoring process, data management, and preparation of road construction reports at the Palembang City Public Works and Housing Agency. Thus, the application of GIS can be a supporting solution in decision-making and encourage the digitalization of road infrastructure data management.
Penerapan Algoritma Logistic Regression Untuk Memprediksi Penyakit Jantung Muhammad Fitra Rhomadon; Wydyanto Wydyanto; A. Haidar Mirza; Nurul Huda
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 5 No. 3 (2025): November : Jurnal Informatika dan Tekonologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v5i3.8105

Abstract

Heart disease is one of the leading causes of death worldwide, including in Indonesia. Early detection of heart disease risk is crucial to prevent more severe complications and improve patients' quality of life. This study aims to apply the Logistic Regression algorithm to build a data-driven heart disease prediction model. The dataset used is from Kaggle, with 1,025 patient data and 14 attributes covering risk factors such as age, gender, blood pressure, cholesterol, maximum heart rate, and others. The research process was conducted using the CRISP-DM approach, which includes business understanding, data exploration, preprocessing, modeling, evaluation, and model testing. The preprocessing stage includes data cleaning, encoding categorical variables, standardizing numeric data, and dividing the data into training and test data. The model was developed using the Python programming language and the scikit-learn library, then evaluated using metrics such as accuracy, precision, recall, F1-score, confusion matrix, and ROC-AUC. The evaluation results showed that the Logistic Regression model was able to provide good prediction results, with an accuracy of 0.93, a precision of 0.93, a recall of 0.96, and an F1-score of 0.95. With this performance, this model can be used as a tool for medical personnel in early detection of heart disease risk and supporting more effective and efficient decision-making.
Sistem Pendukung Keputusan Rekomendasi Organisasi Untuk Mahasiswa di Universitas Bina Darma Menggunakan Metode Simple Additive Weighting (SAW) M. Denny Tri Lisandi; M. Soekarno Putra; Syahril Rizal; Wydyanto Wydyanto
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 5 No. 3 (2025): November : Jurnal Informatika dan Tekonologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v5i3.8361

Abstract

This research was conducted to develop a web-based Decision Support System (DSS) to provide student organization recommendations at Universitas Bina Darma. The Simple Additive Weighting (SAW) method was used to evaluate compatibility based on students’ interests, talents, and preferences. The K-Nearest Neighbor (KNN) algorithm was applied to classify the SAW score results in order to determine the final recommendation. In line with its domain, the system was developed using an Agile Feature-Driven Development (FDD) approach in a gradual and iterative manner, utilizing the Laravel 12 framework. The research results showed that the system was capable of accurately recommending Student Activity Units (UKM) for first- to fourthsemester students. The recommendation process was carried out by combining the SAW method to obtain the top three UKM and the KNN algorithm for final classification when students chose to participate in only one UKM that best matched their historical answer patterns.
Co-Authors A. Haidar Mirza M. Denny Tri Lisandi M. Soekarno Putra Muhammad Fitra Rhomadon Muhammad Ramandha Satrya Nurul huda Syahril Rizal