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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 Bulletin of Computer Science Research 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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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.
PEMANFAATAN TEKNOLOGI INFORMASI UNTUK MENINGKATKAN PEMASARAN PRODUK BAGI UMKM STUDI KASUS UMKM DESA TAMBAKREJO SEMARANG Daru, April Firman; Hanif, Muhammad Burhan; Widodo, Edi
TEMATIK Vol. 1 No. 1 (2021): Januari
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/tmt.v1i1.2521

Abstract

Pengabdian ini dilatarbelakangi oleh UMKM pengusaha makanan dan kerajinan tangan yang berada di desa tambakrejo semarang, belum optimal dalam memasarkan produknya karena hanya mengandalkan model pemasaran konvensional yaitu dengan menawarkan dari pintu ke pintu dan memajang hasil usahanya di tempat masing-masing.Kemajuan teknologi yang terus berkembang, berdampak pada perubahan cara masyarakat dalam menjalani kehidupannya, hampir semua aspek di dalam kehidupan saat ini sudah berinteraksi dengan kemajuan teknologi. Kehadiran dan kemajuan teknologi tidak dapat dihindari, oleh karena itu harus dapat dimanfaatkan dalam menunjang produktivitas dengan menggunakan teknologi di dalam kehidupan sehari-hariDengan bekal pengetahuan teknologi informasi khususnya bidang pemasaran sosial media dan desain pengemasan ulang produk yang dimiliki oleh team pengabdian, diharapkan mampu memperluas jangkauan pemasaran produk mereka.  Kata Kunci: UMKM, Sosial Media, Pengemasan Produk
PENINGKATAN KEMAMPUAN MEMBUAT DESAIN UNTUK PRODUK MAKANAN MENGGUNAKAN CANVA PADA PESERTA DIDIK KOMPETENSI KEAHLIAN KULINER SMK NU 01 KENDAL Cholil, Saifur Rohman; Daru, April Firman; Bilqisth, Shona Chayy
TEMATIK Vol. 3 No. 1 (2023): Januari
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/tmt.v3i1.5377

Abstract

Sekolah Menengah Kejuruan (SMK) Nahdlatul Ulama 01 Kendal adalah Sekolah Kejuruan kelompok Bisnis-Manajemen dan Pariwisata dibawah naungan Lembaga Pendidikan Ma arif NU Kabupaten Kendal. Salah satu keahlian jurusan yang ada adalah Tata Boga yang berfokus pada kompetensi keahlian kuliner. Peserta didik diajarkan membuat, meramu dan menyajikan kuliner dengan baik tetapi belum ada penjelasan tentang strategi dalam dunia pemasaran diantaranya adalah dengan desain produk yang baik dan menarik. Kemampuan membuat desain yang baik dan menarik tentunya dibutuhkan kompetensi atau keahlihan dalam pembuatannya dengan menggunakan aplikasi yang sudah ada saat ini. Salah satu aplikasi desain yang ada saat adalah canva. Aplikasi ini bisa digunakan dengan ponsel pintar dan memiliki banyak kelebihan dibandingan dengan aplikasi yang lain. Kelebihan dari aplikasi diantaranya adalah gratis, bisa diakses menggunakan web ataupun android, tampilan sederhana tapi fitur lengkap dan tidak memerlukan ruang penyimpanan karena berbasis web dan cloud. Kegiatan   ini   dilaksanakan   dengan   metode   pendampingan   secara   komprehensif kepada mitra melalui   sosialisasi   aplikasi canva, penjelasanan aplikasi canva, fitur, kelebihan dan kekurangannya. Kegiatan ini dilakukan dengan cara praktik langsung penggunaan aplikasi canva melalui ponsel pintar dari masing-masing mitra. Hasil dari kegiatan ini adalah peingkatan kemampuan mitra dalam penggunakan aplikasi canva untuk membuat desain yang baik dan menarik sehingga     membantu     mitra dalam melakukan pemasaran produk. Luaran   akhir   yang   akan   dicapai   dari   kegiatan   ini   adalah   meningkatnya kemampuan   mitra dalam   penggunaan   ponsel pintar untuk mendesain produk makanan.
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.
Arowana cultivation water quality forecasting with multivariate fuzzy timeseries and internet of things Hirzan, Alauddin Maulana; Daru, April Firman; Huizen, Lenny Margaretta
Computer Science and Information Technologies Vol 6, No 2: July 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v6i2.p136-146

Abstract

Water quality plays a crucial role in the growth and survival of arowana fish, with imbalances in key parameters (pH, temperature, turbidity, dissolved oxygen, and conductivity) leading to increased mortality rates. While previous studies have introduced various monitoring models using Arduino IDE and intrinsic approaches, they lack predictive capabilities, leaving cultivators unable to take proactive measures. To address this gap, this study develops a predictive model integrating the internet of things (IoT) with a fuzzy time series (FTS) algorithm. Through rigorous evaluation and validation, the proposed FTS-multivariate T2 model demonstrated superior performance, achieving an exceptionally low error rate of 0.01704%, outperforming decision tree (0.13410%), FTS-multivariate T1 (0.88397%), and linear regression (20.91791%). These findings confirm that FTS-multivariate T2 not only accurately predicts water quality but also significantly reduces the mean absolute percentage error, providing a robust solution for sustainable arowana aquaculture.
Rancang Bangun E-learning Berbasis Web Sebagai Media Interactive on line Learning Daru, April Firman
Jurnal The Messenger Vol. 6 No. 2 (2014): July-December
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/themessenger.v6i2.196

Abstract

Class teaching and learning process has shortcomings, namely limited Class schedule. If the teacher is not in place, the course can not be done. Submission of materials consequently delayed. Utilization of the web as a tool in the lecture can resolve the issue. When the teacher was not there, the lecture could still walk, student attendance can be monitored, the discussion can be done and the task can check on line. Based on these problems will be developed interactive learning web-based application that can be a means of lectures. Model development system used in use is the System Product Development Life Cycle.
Temperature and Humidity Monitoring Using DHT22 Sensor and Cayenne API Adhiwibowo, Whisnumurti; Daru, April Firman; Hirzan, Alauddin Maulana
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.
Co-Authors Agus Hartanto Alauddin Maulana Hirzan Alaudin Maulana Hirzan Amri, Saeful Aria Hendrawan, Aria Arif Kurniawan Ashadi, Slamet Astrid Novita Putri, Astrid Atmoko Nugroho Basworo Ardi Pramono Bilqisth, Shona Chayy Cahyono, Agus Edy Cholil, Saifur Rohman Christioko, B. Very Darmawan, Heddy Tyas Didin Herlinudinkhaji, Didin Dyan Sinung Prabowo Edi Widodo Edi Widodo, Edi Erlangga, Erwin Febrian Wahyu Christanto Galet Guntoro Setiaji Handayani, Sri Hanif, Muhammad Burhan Hindriyanto Dwi Purnomo Irwan Desyantoro Khoirudin Khoirudin Khoirudin Khoirudin, Khoirudin Kristoko Dwi Hartomo Lenny Margaretta Huizen Mohammad Burhan Hanif Muhammad Bahrul Ulum Nilasari Yunantara, Chandra nofiati, nofiati Nurtriana Hidayati Panata, Helmi Prasetio Pratama, Dominicus Ferdian Wendy Putriniantami, Bertha Sonia Rachman, Farizal Rastri Prathivi Saifur Rohman Cholil Sara Sharifzadeh Stefanus Santosa Sugiarti, Rini Surono Surono Susanto Susanto Vensy Vydia Veronika, Nofita Whisnumurti Adhiwibowo Widodo, Muhammad Faizal Agung