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All Journal International Journal of Electrical and Computer Engineering Jurnal Buana Informatika JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jiko (Jurnal Informatika dan komputer) Abdi Wiralodra : Jurnal Pengabdian Kepada Masyarakat Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Aiti: Jurnal Teknologi Informasi Jurnal Teknologi Informasi dan Komunikasi Jurnal Pendidikan Jurnal Ilmiah Wahana Pendidikan Media Bina Ilmiah Jurnal Indonesia : Manajemen Informatika dan Komunikasi Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Rissal Effendi
Universitas Kristen Satya Wacana
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Public Health Social Sciences Other

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Pelatihan Pengembangan Media Pembelajaran Komik Digital bagi Guru Sekolah Dasar di Kecamatan Banyudono Yulia, Hanita; Krismiyati, Krismiyati; Paseleng, Mila C.; Gundo, Adriyanto J; Setiyanti, Angela Atik; Tacoh, Yuliana T.B.; Efendi, Rissal
Abdi Wiralodra : Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 2 (2024): Abdi Wiralodra
Publisher : universitas wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/abdi.v6i2.177

Abstract

Peningkatan kualitas proses pembelajaran melalui pemanfaatan media pembelajaran inovatif dapat meningkatkan ketertarikan siswa dalam pembelajaran di Sekolah Dasar termasuk di SDN Banyudono 3. Tujuan kegiatan pengabdian masyarakat dalam bentuk pelatihan ini adalah memberikan pemahaman tentang potensi komik digital sebagai salah satu media pembelajaran yang efektif dan mendampingi guru-guru Sekolah Dasar di kecamatan Banyudono yang berjumlah 59 orang untuk dapat mengembangkan komik digital menggunakan aplikasi Pixton. Pelatihan dilakukan secara luring di SDN Banyudono 3 dan dibagi menjadi 3 pertemuan. Adapun hasil dari pelatihan ini berupa peningkatan pemahaman dan keterampilan guru terhadap media pembelajaran pada umumnya dan pengembangan media pembelajaran berupa komik digital menggunakan aplikasi Pixton, yang dikaji dengan pendekatan kuantitatif dan dianalisis menggunakan analisis data deskriptif kuantitatif, yang dibuktikan dengan hasil pre-test dan post-test dari kategori sedang menjadi baik (peningkatan 19,02%). Kegiatan ini juga mendapat respon positif dari peserta, bahkan mereka merencanakan untuk mengimplementasikan komik digital yang sudah mereka buat dan akan mereka buat pada pembelajaran di kelas. Persepsi mereka mengenai pembuatan komik digital yang dahulunya dianggap rumit dan sulit juga telah berubah setelah mereka dapat menghasilkan komik digital karya mereka sendiri
Precipitation and water discharge for internet of things based flood disaster prediction improvement Efendi, Rissal; Widiasari, Indrastanti R.
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 6: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i6.pp6773-6785

Abstract

Floods are a major global problem affect communities and businesses. For these effects to be mitigated and emergency measures to be improved, accurate prediction is essential. Conventional flood prediction models frequently fail because the models ignore important hydrological elements like water discharge and instead solely use rainfall data. This limitation was addressed by the combination of rainfall and water discharge data on internet of things (IoT)-based technologies. It focuses on analyzing historical records from flood-prone areas in Semarang using gated recurrent unit (GRU) models. The findings demonstrate how effectively the GRU model performs when rainfall and water discharge factors are taken into account, resulting in very accurate and dependable predictions of flood events. Precision, Recall, and F1-score are evaluation metrics that demonstrate the accuracy on which the model determines flood emergency statuses. This study advances flood prediction methods and highlights the value of integrating internet of things data to improve preparedness and resilience against flood disasters.
Uji kerentanan keamanan pada web Sistem Informasi Akademik Satya Wacana menggunakan metode Vulnerability Assessment Efendi, Rissal; Wahyono, Teguh; Widiasari, Indrastanti R.
AITI Vol 21 No 1 (2024)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v21i1.44-57

Abstract

Vulnerability assessment is a process to look for system security gaps that can cause information technology process system failure. In carrying out a vulnerability assessment there are three main stages, namely information collection, assessment and exploit using the Greybone Openvas tool with a Full Scan template on the object and several credentials provided by a website. From the vulnerability assessment process, five vulnerabilities were found on assets, namely critical risk with a few 0, high risk with a few 2, medium risk with a few 2, and low risk with a few 1. Based on the conclusions from the vulnerability analysis the website and the results of identity verification, it was concluded that the website had a few weaknesses and vulnerabilities that needed to be fixed to maintain the security and quality of the website. Corrective actions on website configuration need to be taken such as setting cookies, SSL, HTTP headers, and others. SSL/TLS services do not accurately limit the renegotiation stage of the system, making it easier for attackers to carry out Denial of Service attacks by carrying out many renegotiations in one connection.
Integrasi Blockchain dan Keamanan Data untuk Meningkatkan Efisiensi dan Transparansi Sistem Logistik Global Nabila, Cheysha Restu; Efendi, Rissal
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 2 (2025): APRIL-JUNE 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i2.3277

Abstract

The global logistics system currently faces complex challenges related to efficiency and transparency. To address these issues, integrating blockchain and data security has emerged as a promising solution. Blockchain, the foundational technology behind cryptocurrencies, provides the capability to record, verify, and secure transactions in a decentralized and transparent manner. This study aims to analyze the potential of integrating blockchain and data security to enhance efficiency and transparency in global logistics systems. The research employs a literature review approach, examining relevant studies on blockchain and data security applications within the global logistics context. The findings indicate that blockchain integration in global logistics can facilitate a more efficient supply chain by enabling transparency, real-time validation, and enhanced monitoring of logistics activities. Additionally, encrypted data security can mitigate security risks and reduce fraud, providing better protection against cyberattacks and data manipulation.
Design and Implementation of Load Balancing for Quality of Service Improvement Widiasari, Indrastanti Ratna; Efendi, Rissal
Jurnal Buana Informatika Vol. 15 No. 2 (2024): Jurnal Buana Informatika, Volume 15, Nomor 02, Oktober 2024
Publisher : Universitas Atma Jaya Yogyakarta

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Abstract

At the Information Technology Faculty, Satya Wacana Christian University, load balancing systems are implemented where the web server serves 500 users. This is to prevent server overload or downtime during simultaneous access to the web server. Test results indicate significant differences in CPU usage, request time, and bandwidth between load balancing and single servers. The use of load balancing is more effective than relying on a single server, as evidenced by test results. The CPU usage with load balancing is significantly lower, with a difference of up to 45% compared to a single server. The request time with load balancing is also slightly better, with only 21.5ms compared to 42ms for a single server. However, the difference in bandwidth between load balancing and a single server is not very significant. The highest bandwidth recorded on a single server is 182kb/s, while with load balancing it reaches 165kb/s.
Pengembangan Sistem Deteksi Kualitas Udara Berbasis Sensor IoT Menggunakan Fitur Notifikasi Telegram di Terminal Tingkir, Salatiga Pariama, Alberth; Efendi, Rissal
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 2 (2025): Mei
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jimik.v6i2.1384

Abstract

Climate change and air pollution are two of the world’s most pressing issues that have a major impact on ecosystems and human health. The aim of this study is to create an internet of things-based air quality monitoring system that can identify pollutants such as CO2, NO2, and PM2.5 in real-time. The system that notifies users via a mobile application such as Telegram once the air quality exceeds a certain threshold is built with MQ-135 and DHT11 sensors. The study was conducted through an experiment with a development approach. Literature review, system design, prototyping, and performance evaluation are all part of this methodology. The results of the study show that the system can help monitor air quality and increase public awareness about the environment. Therefore, this study enhances efforts to reduce air quality pollution, especially in Indonesian cities.
PREDIKSI RISIKO DROP OUT MAHASISWA MENGGUNAKAN MODEL MACHINE LEARNING BERBASIS DATA AKADEMIK (Studi Kasus : Universitas XYZ) Tumbilung, Chresto Friedrich; Efendi, Rissal
JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI Vol. 16 No. 2 (2025): September
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtikp.v16i2.1257

Abstract

Higher education is crucial for developing competitive human resources, yet the issue of student dropout (DO) remains a significant challenge for institutions. This study aims to develop a predictive model for identifying students at risk of dropout using machine learning techniques. By analyzing academic data, including Grade Point Averages (GPA), course loads, attendance rates, and failure rates, the research employs three machine learning algorithms: Decision Tree, Naive Bayes, and K-Nearest Neighbor (KNN). The results indicate that the Decision Tree model outperforms the others, achieving a perfect accuracy of 100% in classifying students as either "Graduated" or "Dropout." Naive Bayes also shows strong performance with 95% accuracy, particularly excelling in identifying actual dropout cases. Conversely, KNN exhibits the lowest effectiveness. The findings suggest that implementing the Decision Tree model can significantly enhance early detection and intervention strategies for at-risk students, ultimately improving academic management and student retention rates.
PROTOTYPE ALAT MONITORING PENCEGAHAN KEBAKARAN PADA RUANG LAB SMK SARASWATI SALATIGA Barsalinus Milenius Dupat; Rissal Efendi
Media Bina Ilmiah Vol. 19 No. 8: Maret 2025
Publisher : LPSDI Bina Patria

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Abstract

The fire prevention monitoring system for the SMK SARASWATI laboratory in Salatiga City is a crucial aspect of ensuring that fire disasters do not occur in the laboratory. This is due to the presence of materials and equipment within the laboratory that have the potential to trigger fires. Preventive measures such as installing fire extinguishers, storing flammable chemicals away from heat sources, organizing electrical installations, and enforcing a no-smoking policy have been implemented. However, the existing system is not equipped with automated remote monitoring technology for real-time supervision. With current technological advancements, particularly in the Internet of Things (IoT) systems, the author designed a laboratory room monitoring system at SMK SARASWATI that can monitor temperature, humidity, and air quality in real-time. The system is designed to provide automatic notifications to mobile devices via the user's smartphone, enhancing efficiency in addressing potential fire risks. This technology utilizes the Blynk application and the ESP8266 microcontroller, along with temperature, humidity, and air quality sensors to read environmental conditions. The data collected by the sensors is transmitted via the internet to the Blynk application on the smartphone, enabling 24/7 monitoring without distance limitations. The implementation of this system is expected to prevent fires in the laboratory effectively.
Co-Authors Adriyanto Juliastomo Gundo Andika Wahyu Kurniawan Angela Atik Setiyanti Ardhian Ahkim Miftahul Huda Barsalinus Milenius Dupat Desi, Desi Deslitia Rolina Hanita Yulia Indrastanti Ratna Widiasari Krismiyati Marlens Albert Nenobais Meilinda Novena Br Simanjuntak Br Simanjuntak Mila Chrismawati Paseleng Nabila, Cheysha Restu Pariama, Alberth Septian Adi Prasetyo Teguh Wahyono Toriq Lurie Annaba Tumbilung, Chresto Friedrich Winrou Wesley Purba Yoppy Beniah Pello Yuliana T. B. Tacoh