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All Journal International Journal of Advances in Applied Sciences Jurnal Transformatika Jurnal Informatika dan Teknik Elektro Terapan Sistemasi: Jurnal Sistem Informasi Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat KOMPUTIKA - Jurnal Sistem Komputer JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Abdimasku : Jurnal Pengabdian Masyarakat Computer Science and Information Technologies Patria : Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Informasi dan Komunikasi Journal of Computer and Information Systems Ampera SmartComp Journal of Technology Informatics and Engineering Advance Sustainable Science, Engineering and Technology (ASSET) Jurnal DIMASTIK
Alauddin Maulana Hirzan
Universitas Semarang
Aerospace Engineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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Prediksi Gas Karbon Monoksida dengan Jaringan Syaraf Tiruan berbasis Internet of Things Alauddin Maulana Hirzan; Charis Maulana; Sri Handayani
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol. 7 No. 2 (2025): Desember 2025
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v7i2.14356

Abstract

Carbon monoxide is a dangerous gas that can cause fatal effects in humans if inhaled in large quantities. To detect it, a model has been developed. This study proposes a prediction model using an Artificial Neural Network (ANN) algorithm to predict carbon monoxide. Of the four ANN models evaluated, the ANN-5K model showed the best performance with an accuracy of 80.18%, followed by ANN-6K with an accuracy of 77.13%, ANN-4K with 66.44%, and ANN-3K with 53.14%. When compared to linear regression, which only had an accuracy of 57.50%, the ANN-5K model was still superior. Thus, the proposed ANN-5K model proved to be more accurate and had a lower error rate compared to other models. The main contribution of this research is a prototype equipped with an ANN model to predict carbon monoxide gas
Double Diamond Approach to Design Web-based Library Clearance Management System for Graduation Requirements Muhammad Tosan Bingamawa; Titis Sari Putri; Kuncoro Galih Pambayun; Alauddin Maulana Hirzan; Indra Maulana Pratama
SISTEMASI Vol 15, No 7 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i7.6708

Abstract

The library clearance process is one of the main administrative requirements that students must complete before participating in the graduation process. In many higher education institutions, the library clearance process is still manual or fragmented across multiple information systems, resulting in inefficient verification, lengthy delays, and limited transparency for students and librarians. This study aims to design LibrePass, a library clearance management information system that digitizes and streamlines the submission and verification process for graduation requirements, including library clearance, submission of hard and soft copy final report documents, and other institutional requirements. This study adopts the Double Diamond approach, comprising four stages: Discover, Define, Develop, and Deliver. In the Discover stage, user needs and current business processes are identified through interviews, observations, and document analysis. Next, in the Define stage, the results of interviews and observations are synthesized to determine user experience, pain points, and user needs. Then, in the Develop stage, user flows and low- and high-fidelity wireframes are designed. The final stage is Deliver, usability testing is carried out on the prototype using the UEQ instrument with UEQ Data Analysis Tools. The test results show that all UEQ dimensions, namely attractiveness, perpicuity, efficiency, dependability, stimulation, and novelty, show excellent values, with an average score of 2,15. These results indicate that the double diamond approach is successful in designing a prototype that is acceptable and has met user needs.
An IoT-Based Smart Feeding System for Koi Fish Using Mamdani Fuzzy Logic April Firman Daru; Alauddin Maulana Hirzan; Galuh Ardiansyah Putra; Paminto Agung Christianto
Journal of Technology Informatics and Engineering Vol. 5 No. 1 (2026): APRIL | JTIE : Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v5i1.480

Abstract

Koi feeding management requires precision in both feeding timing and feed quantity to maintain fish health and reduce mortality rates. Manual feeding practices are often inconsistent due to human limitations, leading to overfeeding or underfeeding. This study proposes an IoT-based smart feeding system for koi fish that integrates Mamdani fuzzy logic to determine adaptive feeding durations based on feed stock conditions. The system employs a NodeMCU ESP8266 microcontroller, an ultrasonic sensor for feed-level monitoring, a servo motor for feed dispensing, and the Blynk platform for real-time remote monitoring and control over the internet. Mamdani fuzzy inference is utilized to classify feed levels into linguistic variables (low, medium, and high) and generate appropriate feeding actions. Experimental results demonstrate that the proposed system operates reliably, with an average measurement error of 1.59%, indicating high accuracy in feed-level detection. The fuzzy logic controller effectively adjusts feeding duration according to feed availability, enabling consistent and controlled feeding schedules. The proposed system offers a practical and low-cost solution for intelligent koi fish feeding management and can be extended to broader applications in smart aquaculture systems.
PENINGKATAN PEMAHAMAN ETIKA PENGGUNAAN AI UNTUK PARA SISWA SMK WALISONGO SEMARANG Alauddin Maulana Hirzan; April Firman Daru; Whisnumurti Adhiwibowo; Agus Hartanto
Jurnal DIMASTIK Vol. 4 No. 2 (2026): Juli
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/dimastik.v4i2.15897

Abstract

Pemanfaatan Artificial Intelligence (AI) dalam kegiatan pembelajaran memberikan peluang bagi siswa untuk memperoleh informasi dan menyelesaikan berbagai aktivitas akademik secara lebih efektif. Namun, penggunaan AI tanpa pemahaman etika yang memadai dapat menimbulkan permasalahan, seperti penggunaan informasi tanpa verifikasi, pelanggaran integritas akademik, penyalahgunaan data pribadi, dan pelanggaran hak kekayaan intelektual. Kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan meningkatkan pemahaman siswa mengenai etika penggunaan AI dalam mendukung proses pembelajaran di SMK Walisongo Semarang. Kegiatan dilaksanakan menggunakan pendekatan pelatihan partisipatif yang meliputi penyampaian materi, diskusi interaktif, analisis studi kasus, dan praktik penggunaan AI secara bertanggung jawab. Evaluasi dilakukan melalui pre-test dan post-test yang terdiri atas 10 butir pertanyaan dan diikuti oleh 21 siswa. Materi evaluasi mencakup pemahaman konsep AI, prinsip etika penggunaan AI, kejujuran akademik, perlindungan data pribadi, hak kekayaan intelektual, dan verifikasi informasi yang dihasilkan AI. Hasil evaluasi menunjukkan adanya peningkatan pemahaman peserta setelah pelatihan. Berdasarkan data hasil kuesioner, skor rata-rata peserta meningkat dari 6,24 pada pre-test menjadi 8,33 pada post-test, atau mengalami peningkatan sebesar 2,09 poin (33,49%). Pada evaluasi berdasarkan aspek materi, pemahaman konseptual mencapai 84%, pemahaman prompt mencapai 88%, sedangkan aspek sentence mencapai 62% setelah pelatihan. Hasil tersebut menunjukkan bahwa pelatihan memberikan dampak positif terhadap peningkatan pemahaman siswa mengenai penggunaan AI secara etis dan bertanggung jawab. Kegiatan ini dapat menjadi salah satu pendekatan edukatif untuk memperkuat literasi AI dan integritas digital siswa pada jenjang pendidikan menengah kejuruan. Kata Kunci: Artificial Intelligence, etika AI, literasi AI, siswa SMK, Pengabdian kepada Masyarakat
Hybrid Filtering for Student Major Recommendation: A Comparative Study Nurtriana Hidayati; Titin Winarti; Alauddin Maulana Hirzan
Advance Sustainable Science Engineering and Technology Vol. 7 No. 1 (2025): November-January
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i1.1250

Abstract

Choosing the right university major is an important decision for students, as delays or incorrect choices can harm their future careers and cause problems for academic departments. High dropout rates, which are frequently the result of poorly informed decisions, can be a considerable burden on faculty. This project aims to address these challenges by creating a recommendation system that provides individualized counsel to students based on their psychological profiles. A quantitative method was used, with questionnaires distributed to a large number of students. To verify the data's authenticity, replies were sought from students who were pleased with their selected majors rather than those who regretted their choices. The collected data formed the basis for a hybrid recommendation system that integrated Content-based Filtering and Collaborative Filtering methods. The system was then compared against standalone implementations of each filtering method to determine its usefulness in increasing suggestion accuracy. The results showed that the Hybrid Filtering strategy obtained a recommendation accuracy of 84.29%, outperforming Content-based  Filtering at 81.43% and Collaborative Filtering at 78.57%. The proposed model is easy to implement in a school or a university, as long as the required data is available. Thus, the model can help a school or university to reduce dropout rates and boost academic outcomes.
Peningkatan Kemampuan Teknologi Internet of Things Untuk Para Siswa SMA Sint Louis Alauddin Maulana Hirzan; April Firman Daru; Lenny Margaretta Huizen
Jurnal DIMASTIK Vol. 3 No. 2 (2025): Juli
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/dimastik.v3i2.11754

Abstract

Dalam era digital yang semakin berkembang, teknologi Internet of Things (IoT) memiliki peran krusial dalam mendorong efisiensi dan inovasi. Namun, pemahaman siswa SMA Sint Louis tentang IoT masih terbatas, yang dapat menghambat kesiapan mereka dalam menghadapi tantangan teknologi masa depan. Untuk mengatasi hal ini, sebuah kegiatan pengabdian masyarakat dilaksanakan dengan tujuan memperkenalkan konsep dan aplikasi IoT kepada siswa. Metode yang digunakan meliputi penyampaian materi teoretis dan demonstrasi perangkat IoT, yang dilakukan selama dua hari. Evaluasi melalui kuesioner menunjukkan peningkatan signifikan dalam pemahaman siswa tentang IoT, dari 51% sebelum pelatihan menjadi 79% setelah pelatihan. Peningkatan ini mencakup pemahaman konseptual, kemampuan konfigurasi perangkat, dan keterampilan pemecahan masalah. Kegiatan ini diharapkan dapat memperluas wawasan siswa tentang IoT serta mempersiapkan mereka untuk menghadapi perkembangan teknologi di masa depan.
Temperature and Humidity Monitoring Using DHT22 Sensor and Cayenne API Whisnumurti Adhiwibowo; April Firman Daru; Alauddin Maulana Hirzan
Jurnal Transformatika Vol. 17 No. 2 (2020): January 2020
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v17i2.1820

Abstract

Internet of Thing is a new technology which enables small processing-capable devices to capture or retrieve information from a sensor and send the data to the central computer. This technology is useful for any sector especially agriculture, IoT can be used as monitoring or/and controlling the condition inside the cultivation. There are many kinds of agriculture cultivations, some of them have strict conditions due to the growth requirements. Oyster mushroom cultivation is one of many cultivations which requires strict temperature and humidity needed by oyster mushroom to growth optimal. The temperature inside the cultivation must be within 25 °C until 30 °C and humidity within 70% RH until 90% RH. Due to these strict requirements, the farmers required to check their cultivations every day and manually maintain the temperature and humidity, and this situation becomes a problem when the farmers own many cultivations. Hence, this research has a purpose to design an automatic monitoring system based on Internet of Things technology which utilizing the DHT22 sensor and Cayenne API as information retrieval medium to the computer. When using this device, the farmers can check their cultivation in the meantime without going inside the cultivation. This device will connect to the internet through wireless connectivity and send the captured information by the sensor to the farmers. The stored data from the cultivation can be exported as a CSV format if the farmers want to check the temperature and humidity statistic. The retrieved information from the sensor also displayed on the LCD attached to the device to ease the information reading near the cultivation.
Voice Over Internet Protocol Performance Evaluation in 6to4 Tunneling Network Alauddin Maulana Hirzan; Nazrulazhar Bahaman; Whisnumurti Adhiwibowo
Jurnal Transformatika Vol. 18 No. 1 (2020): July 2020
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v18i1.2356

Abstract

Registry reported that their regional already in exhausted state. The IPv6 was proposed to substitute IPv4 network, but the implementation of this version cased many problems such as hardware compatibility. As temporary solution to this problem, 6to4 tunneling transition mechanism is introduced as one of many solutions. This mechanism used IPv4 network as communication media between two IPv6 networks. Thus, this kind of mechanism will affect the performance of Voice over Internet Protocol. VoIP demanded real-time communication by using UDP protocol between nodes. Unlike normal communication mode, real-time mode required data to be sent immediately ignoring the quality of data. This research evaluated the performance of 6to4 tunneling mechanism for Voice over Internet Protocol s communication between two nodes in native IPv6 networks.  
PENINGKATAN KEMAMPUAN PEMROGRAMAN MICROPYTHON UNTUK PERANGKAT INTERNET OF THINGS BAGI GURU SMK WALISONGO SEMARANG Alauddin Maulana Hirzan; Nur Wakhidah; Muhammad Basyier Ardima
Jurnal DIMASTIK Vol. 1 No. 1 (2023): Januari
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/dimastik.v1i1.6108

Abstract

Internet of Things sudah menjadi bagian daripada kehidupan manusia di masa kini. Teknologi ini terimplementasi di manapun dan dalam bentuk apapun mulai dari jam pintar hingga smart grid di industri. Dalam penggunakan teknologi Internet of Things ini sangat memerlukan pemrograman yang tepat agar perangkat dapat berfungsi sesuai dengan kebutuhan industri. Tanpa adanya pemrograman perangkat yang tepat, perangkat tidak akan berfungsi secara optimal mengefisiensikan kebutuhan industri. Oleh karena itu untuk dapat meningkatkan jumlah lulusan serta dapat memenuhi kebutuhan industri akan tenaga ahli di bidang Internet of Things ini, SMK Walisongo Semarang membutuhkan pelatihan yang mengajarkan bagaimana melakukan pemrograman perangkat Internet of Things dengan menggunakan MicroPython. Sehingga dapat meningkat mutu kualitas kurikulum serta minat para siswa di bidang ini. Kegiatan Pengabdian kepada Masyrakat ini memiliki tujuan untuk memberikan pelatihan peningkatan pemahaman para guru dalam hal pemrograman perangkat dengan MicroPython yang dapat diimplementasikan di dunia industry.
PENINGKATAN KEMAMPUAN PEMANFAATAN SENSOR INTERNET OF THINGS BAGI PARA GURU SMK WALISONGO SEMARANG Alauddin Maulana Hirzan; Whisnumurti Adhiwibowo; April Firman Daru
Jurnal DIMASTIK Vol. 1 No. 2 (2023): Juli
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/dimastik.v1i2.7102

Abstract

Sekolah Menengah Kejuruan merupakan Sekolah khusus yang menerapkan ilmu-ilmu langsung yang diterapkan di dunia kerja. Selain dapat membantu para lulusannya dalam menggali hard skill, juga menambahkan pengalaman para siswa sebelum bekerja di dunia industri. Namun sayangnya kebutuhan dunia industri akan lulusan yang ahli dalam bidang Internet of Things sangatlah dibutuhkan. Oleh karena itu, SMK di seluruh Indonesia khususnys SMK Walisongo Semarang, memerlukan pelatihan berkaitan dengan Internet of Things khususnya sensor-sensor yang digunakan industri. Sehingga SMK tersebut dapat menghasilkan lulusan yang diperlukan oleh industri. Dengan permasalahan tersebut, tim pengabdian ini melaksanakan pelatihan berkaitan dengan sensor Internet of Things. Dari hasil yang dilakukan, pelatihan ini secara sukses meningkatkan pemahaman para peserta sebanyak 10% untuk Konsep, 24% untuk Konfigurasi, dan 30% untuk Pemecahan Masalah yang terjadi pada umumnya.
Co-Authors Agnes Saputri Agus Hartanto Agus Hartanto Agus Hartanto April Firman Daru Ardima, Muhammad Basyier Atmoko Nugroho Atmoko Nugroho Charis Maulana Febrian Wahyu Christanto Galih Setiarso Galuh Ardiansyah Putra Handayani, Sri Hanif, Mohammad Burhan Indra Maulana Pratama Kuncoro Galih Pambayun Lenny Margaretta Huizen Muhammad Tosan Bingamawa Muhammad Yusuf Abdurrahman Nazrulazhar Bahaman Nur Wakhidah Nurtriana Hidayati Paminto Agung Christianto Rastri Prathivi Saputri, Agnes Setiarso, Galih Suprayogi, Muhammad Sani Surono Surono Surono Susanto, Susanto Titis Sari Putri Whisnumurti Adhiwibowo Wicaksana, Dinar Anggit Winarti, Titin