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All Journal International Journal of Electrical and Computer Engineering International Journal of Reconfigurable and Embedded Systems (IJRES) International Journal of Advances in Applied Sciences Journal of Nonformal Education Telematika Jurnal Transformatika JUITA : Jurnal Informatika Jurnal The Messenger Jurnal Informatika Upgris Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Pengembangan Rekayasa dan Teknologi KOMPUTIKA - Jurnal Sistem Komputer RANDANG TANA - Jurnal Pengabdian Masyarakat Abdimasku : Jurnal Pengabdian Masyarakat Computer Science and Information Technologies Jurnal Teknologi Informasi dan Komunikasi Information Science and Library Jurnal Teknologi Informasi Cyberku SEMINAR NASIONAL PENELITIAN DAN PENGABDIAN KEPADA MASYARAKAT Tematik International Journal of Information Technology and Business Jurnal DIMASTIK
April Firman Daru
Universitas Semarang
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Social Sciences Transportation Other

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PENERAPAN LEARNING TECHNOLOGY SYSTEM ARCHITECTURE (LTSA) PADA MULTIMEDIA PEMBELAJARAN PERAKITAN PC Stefanus Santosa; April Firman Daru
Jurnal Teknologi Informasi - Cyberku (JTIC) Vol 12 No 2 (2016): Jurnal Teknologi Informasi CyberKU Vol. 12, no 2
Publisher : Program Pascasarjana Magister Teknik Informatika, Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (431.126 KB)

Abstract

Conventional learning systems still dominate the learning process at various universities. In general, learning in college lecture reflects patterns that tend in the same direction. Students the opportunity to conduct personal understanding through looping and less enrichment accommodated properly. This research tried to solved the problem. Hence, it is important to develop a teaching medium based on Learning Technology Systems Architecture (LTSA) with multimedia tutorial approach. From the test results of learning can be stated that the learning method PC assembly using multimedia-based teaching tools can support the learning that is interactive, engaging, efficient, effective, and meaningful. In addition test results also showed a significant difference compared to conventional teaching methods . Students using conventional learning systems only obtained an average score of 49.6, while students use learning system using learning tools of animation and visualization obtain an average value of 80 , 09. This suggests that the use of teaching aids by using multimedia (text, audio, video and animation) more easily understood by the students so deserves its place as a major strategy in the laboratory learning.
A new approach of scalable traffic capture model with Pi cluster Kristoko Dwi Hartomo; April Firman Daru; Hindriyanto Dwi Purnomo
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 2: April 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i2.pp2186-2196

Abstract

The development of the internet of things (IoT), which functions as servers, device monitors, and controllers of several peripherals inside the smart home, eased workload in many sectors. Most devices are accessible through the internet because they communicate with wired or wireless interfaces. However, this feature makes them prone to the risk of being exposed to the public. The exposed devices are an easy target for the third party to launch a flooding attack through the network. This attack overloads the system due to the low processing capability, thereby interrupting any running process and harming the device. Therefore, this study proposed a scalable network capturing model that utilized multiple Raspberry Pi boards in parallel to monitor the network traffics simultaneously. An isolated experiment was used for evaluation by running simultaneous flooding attacks on each device. The result showed that the model consumed 30.44% more memory with 14.66% lower central processing unit (CPU) usage and 3.63% faster execution time. This means that this model is better in terms of performance and effectiveness than the single capture model.
Implementasi API Bot Telegram Untuk Sistem Notifikasi Pada The Dude Network Monitoring System Whisnumurti Adhiwibowo; Febrian Wahyu Christanto; April Firman Daru
Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat 2021: Prosiding Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat (SNPPKM 2021)
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (562.733 KB)

Abstract

Network Monitoring System adalah sistem yang diciptakan untuk memantau jaringan komputer dan mengontrol sistem jaringan seperti router, access point, switch, dan lain sebagainya. Proses pemantauan jaringan komputer yang dilakukan oleh seorang administrator mengakibatkan administrator harus selalu standby di area kantor. Hal ini menjadi masalah karena kompleksitas jaringan dan banyaknya perangkat jaringan yang harus dipantau maka membutuhkan waktu yang lama untuk menangani gangguan. Dibutuhkan suatu distribusi informasi gangguan kepada administrator jaringan untuk mempercepat penanganan gangguan tersebut. Untuk mengatasi masalah tersebut, pada penelitian ini akan diimplementasikan Network Monitoring System (NMS) dengan menggunakan kombinasi Sistem Operasi Mikrotik, aplikasi The Dude, dan API Bot Telegram. Mikrotik Router OS akan terkoneksi dengan sistem jaringan yang telah diinstalasi aplikasi The Dude sebagai device management. Sementara itu, sistem notifikasi akan memberikan informasi status gangguan secara real time kepada perangkat dengan memanfaatkan protokol ICMP pada API Bot Telegram. Hasil dari penelitian ini adalah sistem notifikasi tentang informasi status perangkat dan informasi gangguan pada jaringan komputer yang dapat dibaca oleh administrator melalui aplikasi messenger berbasis Android yaitu Telegram. Dari hasil pengujian diketahui bahwa kecepatan pengiriman informasi jaringan komputer dan dari router ke akun Telegram Administrator dapat berjalan dengan cepat sekitar 4-5 detik jika terjadi gangguan informasi pada jaringan komputer. Diharapkan sistem ini dapat mempermudah pekerjaan administrator jaringan komputer dalam mengelola proses monitoring jaringan komputer.
IPv6 flood attack detection based on epsilon greedy optimized Q learning in single board computer April Firman Daru; Kristoko Dwi Hartomo; Hindriyanto Dwi Purnomo
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 5: October 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i5.pp5782-5791

Abstract

Internet of things is a technology that allows communication between devices within a network. Since this technology depends on a network to communicate, the vulnerability of the exposed devices increased significantly. Furthermore, the use of internet protocol version 6 (IPv6) as the successor to internet protocol version 4 (IPv4) as a communication protocol constituted a significant problem for the network. Hence, this protocol was exploitable for flooding attacks in the IPv6 network. As a countermeasure against the flood, this study designed an IPv6 flood attack detection by using epsilon greedy optimized Q learning algorithm. According to the evaluation, the agent with epsilon 0.1 could reach 98% of accuracy and 11,550 rewards compared to the other agents. When compared to control models, the agent is also the most accurate compared to other algorithms followed by neural network (NN), K-nearest neighbors (KNN), decision tree (DT), naive Bayes (NB), and support vector machine (SVM). Besides that, the agent used more than 99% of a single central processing unit (CPU). Hence, the agent will not hinder internet of things (IoT) devices with multiple processors. Thus, we concluded that the proposed agent has high accuracy and feasibility in a single board computer (SBC).
PENINGKATAN KEMAMPUAN PENGELOLAAN WEBLOG DENGAN KONTEN INTERNET SEHAT SEBAGAI SARANA PUBLIKASI DAN INFORMASI PADA SISWA SMA NEGERI 2 SEMARANG Galet Guntoro Setiaji; April Firman Daru; Saifur Rohman Cholil
TEMATIK Vol 2, No 1: July 2020
Publisher : TEMATIK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/tmt.v2i1.1828

Abstract

Community Service Activities (PkM) "Increasing the Capability of Management of Healthy Weblogs with Internet Content as a Means of Publication and Information for Students of Semarang 2 High School" involving partners of High School Middle School students in the city of Semarang. Many school students have not used the weblog to provide information and publications about activities related to learning, school organization activities and other activities. In this activity, partners will be given training in making weblogs with healthy internet content by the PKM team tailored to the level of needs and resources of each partner. At the end of this activity, it is expected that all students who take part in the training can create a weblog by filling out healthy internet content for the better so that it will improve  the  ability  of  publications  and  information  to  internet  users  as  a  form  of  community  service. The purpose of this service is to increase the ability of weblogs to share knowledge, publications and information of  students by creating a healthy internet on the weblog.
PEMANTAUAN TINGKAT KARBON MONOKSIDA DENGAN SENSOR MQ-9 STUDI KASUS UNIVERSITAS SEMARANG Hirzan, Alauddin Maulana; Adhiwibowo, Whisnumurti; Daru, April Firman
JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI Vol 15 No 2 (2024): September
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtikp.v15i2.741

Abstract

Emisi merupakan hal yang sangat serius untuk di atasi, emisi gas karbon monoksida merupakan sisa dari kombusi yang dilakukan oleh kendaraan bermotor seperti motor maupun mobil. Gas ini bersifat tidak berbau maupun berwarna, namun mematikan dalam dosis yang tinggi. Sehingga perlu penanganan serius untuk memantau gas jenis ini. Universitas Semarang merupakan salah satu universitas dengan jumlah mahasiswa terbanyak di Jawa Tengah, maka secara otomatis pengendara kendaraan bermotor pun ikut meningkatkan kandungan gas karbon monoksida di area parkir. Oleh karena itu, penelitian ini memiliki tujuan untuk mendesain sebuah purwarupa deteksi karbon monoksida dengan menggunakan teknologi Internet of Things yang dapat melaporkan ketika terdapat kandungan gas di udara. Model ini dilengkapi dengan sensor MQ-9 yang mampu mendeteksi gas karbon monoksida lebih akurat dibandingkan model-model sebelumnya. Berdasarkan hasil evaluasi yang dilakukan, model ini mampu mendeteksi gas dengan rata-rata 4,17 ppm dari 55 data deteksi yang ada dan tersimpan di Firebase Realtime Database. Dari semua data yang ada, model mendeteksi puncak tertinggi mencapai 18,365 ppm. Meskipun terdapat kenaikan kandungan gas, namun hasil ini masih di bawah batas aman yang dianjurkan. Selain itu, hasil terakhir yang didapatkan dari model ini adalah notifikasi pelaporan yang disampaikan melalui Telegram Bot.
Arowana cultivation water quality monitoring and prediction using autoregressive integrated moving average Daru, April Firman; Susanto, Susanto; Adhiwibowo, Whisnumurti
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 3: November 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v13.i3.pp665-673

Abstract

Decorative fish is a fish that humans keep for amusement. There are many decorative fish that exist in this world, one of them is known as the Arowana fish (Scleropages Formosus). This fish is known around Asia including in Indonesia. However, to ensure the Arowana is living well is not easy. The water quality inside a farm must follow a strict balance. The pH of the water must not exceed or below 7 pH. Meanwhile, the total dissolved solid (TDS) salt must not exceed 1000 parts per million. If the balance collapsed, the Arowana fish will not grow. Thus, the owner must monitor the water to make sure that the water is ideal. There were many approaches including internet of things (IoT) solutions. However, they have weaknesses with prediction. Because of this reason, this study designed pH and TDS monitoring with autoregressive integrated moving average (ARIMA) as the algorithm. To achieve the solution, this study used experiment methodology as the research fundamental from top to bottom. According to the evaluation, this study found that the accuracy of ARIMA model is 98.12% for pH and 98.86% for TDS. On the contrary, the seasonal autoregressive integrated moving average (SARIMA) model has an accuracy of 98.52% for pH and 99.89% for TDS.
Internet of things based seasonal auto regression integrated moving average model for hydroponic water quality prediction Daru, April Firman; Susanto, Susanto; Adhiwibowo, Whisnumurti; Hirzan, Alauddin Maulana
International Journal of Advances in Applied Sciences Vol 14, No 1: March 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v14.i1.pp123-131

Abstract

Technological progress significantly impacts agriculture, with the rapid expansion of industrial and residential areas leading to a scarcity of agricultural land. Modern farming techniques like hydroponics have emerged as a solution, allowing plant growth with water as a medium. Real-time monitoring of water quality is crucial for hydroponic systems. Lettuce (Lactuca sativa) is particularly compatible with hydroponics due to its short growth cycle and nutritional value. Key factors for successful cultivation include maintaining pH, temperature, and nutrient levels within optimal ranges. To address water quality monitoring complexities, internet of things (IoT) technology offers a promising solution. IoT devices autonomously gather environmental metrics such as temperature, pH, humidity, and nutrient concentrations. This study integrates an IoT-driven hydroponic water quality monitoring system using the seasonal auto-regressive integrated moving average (SARIMA) algorithm and the ESP32 microcontroller. This approach allows real-time water quality management, enhancing lettuce cultivation efficiency and productivity. The proposed model achieved 98.6% accuracy, effectively predicting water quality.
Pemilihan Karyawan Tetap PT. Jawasurya Kencana Indah menggunakan Metode Moora Putriniantami, Bertha Sonia; Daru, April Firman
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i3.57937

Abstract

Jawasurya Kencanaindah faces challenges in determining contract employees who are worthy of being appointed as permanent employees, considering that the selection process is carried out manually and is less objective. This study aims to apply the Multi-Objective Optimization by Ratio Analysis (MOORA) method in the Decision Support System (SPK) to improve efficiency and objectivity in the selection of permanent employees. The research method involves several stages, including problem analysis, literature study, application of the MOORA method, calculation of alternative values based on predetermined criteria, and evaluation of results to determine the best employees. The criteria used in the selection include work assessment, attendance, competence, tenure, and integrity and work ethics. The results of the study show that the MOORA method is able to optimize employee selection by considering various factors simultaneously. The alternative with the highest score is identified as the best candidate to be appointed as a permanent employee. With this approach, the selection process becomes more transparent, fast, and accurate. In conclusion, the use of the MOORA method in SPK has succeeded in increasing the effectiveness of the selection of permanent employees at PT. Jawasurya Kencanaindah. The implication of this study is that companies can adopt this method to reduce subjectivity in decision-making as well as increase employee satisfaction and motivation through a fairer and more structured selection system.
Peningkatan Kemampuan Pemanfaatan Canva Untuk Kreasi Digital Di SMK Walisongo Semarang Hirzan, Alauddin Maulana; Daru, April Firman; Hartanto, Agus
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 8, No 2 (2025): MEI 2025
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v8i2.2904

Abstract

Pelatihan desain grafis berbasis Canva untuk siswa SMK Walisongo Semarang bertujuan untuk meningkatkan keterampilan desain grafis yang relevan dengan kebutuhan industri digital. Metode pelatihan yang digunakan merupakan kombinasi ceramah dan praktikum berbasis asistensi. Ceramah menyampaikan teori dasar desain grafis dan pengenalan platform Canva, sementara praktikum memberikan kesempatan bagi siswa untuk mengaplikasikan pengetahuan dalam proyek desain yang relevan. Hasil dari kuesioner pra dan pasca pelatihan menunjukkan adanya peningkatan yang signifikan dalam pemahaman peserta. Skor pada aspek teori sedikit menurun dari 94% menjadi 90%, namun pemahaman desain meningkat dari 78% menjadi 82%, dan pemahaman produksi file/output melonjak drastis dari 52% menjadi 94%. Peningkatan ini menunjukkan bahwa pelatihan berhasil meningkatkan keterampilan teknis dan pemahaman peserta, memungkinkan mereka untuk mengaplikasikan konsep desain secara efektif dan menghasilkan output yang siap digunakan. Evaluasi ini juga mengindikasikan bahwa metode pelatihan berbasis praktikum dan asistensi sangat efektif dalam meningkatkan kepercayaan diri dan keterampilan peserta, yang sangat relevan dengan tuntutan dunia kerja.
Co-Authors Agus Edy Cahyono Agus Hartanto Agus Hartanto Agus Hartanto Alauddin Maulana Hirzan Alaudin Maulana Hirzan Aria Hendrawan, Aria Arif Kurniawan Astrid Novita Putri Atmoko Nugroho Atmoko Nugroho Basworo Ardi Pramono Cholil, Saifur Rohman Didik Kurniawan Didin Herlinudinkhaji, Didin Dimas Prasetyo Dominicus Ferdian Wendy Pratama Dyan Sinung Prabowo Edi Widodo Edi Widodo Erlangga, Erwin Eryan Ahmad Firdaus Farizal Rachman Febrian Wahyu Christanto Handayani, Sri Heddy Tyas Darmawan Hindriyanto Dwi Purnomo Irwan Desyantoro Khoirudin Khoirudin Khoirudin Khoirudin Kristoko Dwi Hartomo Lenny Margaretta Huizen Mohammad Burhan Hanif Muhammad Bahrul Ulum Muhammad Burhan Hanif Muhammad Faizal Agung Widodo nofiati nofiati Nurtriana Hidayati Putriniantami, Bertha Sonia Rastri Prathivi Sara Sharifzadeh Setiaji, Galet Guntoro Shona Chayy Bilqisth Slamet Ashadi Stefanus Santosa Sugiarti, Rini Surono Susanto, Susanto Vensy Vydia Veronika, Nofita Whisnumurti Adhiwibowo