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All Journal Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Journal of Economic, Management, Accounting and Technology (JEMATech) Jurnal Arsitektur ZONASI Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Ilmu Komputer dan Bisnis JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Indonesian Journal of Electrical Engineering and Computer Science Community Development Journal: Jurnal Pengabdian Masyarakat Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) DEVICE Journal of Economic, Business and Engineering (JEBE) NUSANTARA: Jurnal Pengabdian Kepada Masyarakat STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Biner : Jurnal Ilmiah Informatika dan Komputer Jurnal Penelitian dan Pengabdian Masyarakat Jotika Journal of Engineering and Informatic SOROT: Jurnal Pengabdian Kepada Masyarakat AMMA : Jurnal Pengabdian Masyarakat MULTIPLE: Journal of Global and Multidisciplinary Journal of Information System and Computer Jurnal Akademik Pengabdian Masyarakat The Indonesian Journal of Computer Science Clean Energy and Smart Technology Catha Saintifica Servis : Jurnal Pengabdian dan Layanan kepada Masyarakat Jurnal Pengabdian Masyarakat Nusantara
Hidayatus Sibyan
Universitas Sains Al-Quran
Religion Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management 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 Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Other

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Journal : Clean Energy and Smart Technology

 1 
Automation Of Trash Can Collection Using Line Follower Based On Wireless Control Hidayatus Sibyan; M. Fuat Asnawi; Dwitya Ilham Kurniadi
Clean Energy and Smart Technology Vol. 1 No. 1 (2022): October
Publisher : Nacreva Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58641/cest.v1i1.4

Abstract

Every school must have a cleaning staff whose job is to care for and maintain the cleanliness of the school building. At SMKN 2 Bawang, the building is spacious and separated between buildings, so collecting waste requires a lot of time and effort. An ineffective process occurs when the cleaning staff collects waste in a circular path. Automating garbage collection using a line follower robot with PID control and the blynk application to start and stop as well as a predetermined path at a particular gathering point, can save energy and time for cleaning staff. The tuning value for each PID Control constant P=0.2, I=0.3, and D=0.06 can smooth the robot's movement with the L298N motor driver. It is decided by the Arduino UNO microcontroller and wireless connection using NodeMCU (ESP8266) for direction taking. The reading sent by the infrared sensor with analogRead mode when dimmed is in the range of 175~270, and the maximum reading value of the sensor is 940~950. The decision to turn follows a predetermined line when the sensor is below 175, according to which the sensor hits the line. The robot will stop running when the ultrasonic sensor finds an object or obstacle less than 15 cm in front of it.
CLASSIFICATION OF NUTRITIONAL STATUS USING K-NEAREST NEIGHBOR (KNN) METHOD Lina Fauziah; Hidayatus Sibyan; Nur Hasanah; Iman Ahmad Ihsannudin; Nulngafan
Clean Energy and Smart Technology Vol. 1 No. 2 (2023): April
Publisher : Nacreva Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58641/cest.v1i2.38

Abstract

According to a statement from the chairman of the Ngadimulyo village cadres, the prevalence of stunting in five-year-old babies (toddlers) in Ngadimulyo village in 2022 is 20%, which means there are 32 stunted toddlers out of 160 toddlers in Ngadimulyo village. The first 1000 days are the golden age for babies, but many toddlers aged 0-59 months still experience nutritional problems. In interviews with several mothers in Ngadimulyo village who have toddlers, many mothers still do not understand the calculation of nutritional status; they only rely on calculations from posyandu cadres recorded in the MCH book (Maternal and Child Health). Data recording is still conventional and produces physical data in the form of books, so data storage also has many risks, such as damage and loss. To reduce the risk of stunting, a system is needed that facilitates the calculation of under-five nutrition so that parents can independently calculate the nutritional status of their under-fives. Currently, many parents are still assisted in determining stunting criteria. Currently, parents only get stunting knowledge from counseling, so parents who have toddlers do not understand to analyze stunting symptoms independently. They are unaware if stunting occurs; therefore, with a system that can assist parents in calculating stunting rates, it is hoped that parents can provide maximum nutritional intake so that stunting cases decrease. Parents can also prevent stunting from occurring. One of the systems used to calculate the nutritional status classification of toddlers is the K-Nearest Neighbor Method (KNN). The reason for choosing the KNN method is because this method can meet other variables in determining the nutritional status of toddlers and is one of the most basic and simple grouping techniques.
EXPERT SYSTEM FOR CAT DISEASE DIAGNOSIS USING NAÏVE BAYES METHOD Muhammad Brilian Kalam; Dian Asmarajati; Hidayatus Sibyan
Clean Energy and Smart Technology Vol. 2 No. 1 (2023): October
Publisher : Nacreva Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58641/cest.v2i1.48

Abstract

Many people choose cats as pets. Cats can benefit humans, but when cats are sick, they can suffer damage, just as cat disease does in humans. Lack of knowledge about the management of cats is one of the leading causes of the high incidence of diseases in cats. The wonosobo area, the cat keeper and the abundance of wild cats, is no exception to the knowledge and insight needed in caring for good cats, and even the number of experts and animal clinics in particular is small. Therefore it requires a system that supports the role of a veterinarian in treating cat diseases, where it can quickly and accurately diagnose diseases in cats based on symptoms of diseases in cats based on previous medical summarizations. Systems built on websites for accessibility and usage. The system's accuracy rate reached 90%, with a 95% f1 score to give the overall size of a model.
IMAGE CLASSIFICATION RECOGNITION OF GAMELAN MUSICAL INSTRUMENT TYPES USING CNN METHOD ANDROID BASED Muhamad Mufid Bachri; Erna Dwi Astuti; Hidayatus Sibyan
Clean Energy and Smart Technology Vol. 2 No. 2 (2024): April
Publisher : Nacreva Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58641/cest.v2i2.81

Abstract

In the ever-evolving digital age, the use of digital images has become a significant and widespread phenomenon in various fields. Digital image processing and understanding has become an important requirement in various applications, including pattern recognition and computer vision. On the other hand, the sustainability and understanding of cultural treasures, such as Gamelan, is becoming increasingly crucial. UNESCO has recognized Gamelan as Indonesia's 12th World Intangible Cultural Heritage, reminding us of the responsibility to maintain and preserve this cultural heritage. In the digital era, where interest in traditional musical instruments is declining, Convolutional Neural Network (CNN) is implemented as a solution to classify Gamelan musical instrument types based on visual patterns in images. CNN, implemented in an Android system, showed good results with accuracy reaching 98% in the model test stage and 79% in the Android application test. The classification model using TensorFlow Lite, specifically MobilNetV2, was able to recognize Gamelan musical instrument types in the training dataset. However, it should be noted that this model is limited to that dataset. This research contributes to the merging of technology and cultural heritage, enabling the use of technology to enhance cultural understanding and sustainability.
IMPLEMENTASI CHATBOT SEBAGAI VIRTUAL ASSISTANT PADA PELAYANAN PUBLIK DAN BANTUAN DI DINAS SOSIAL KABUPATEN WONOSOBO DENGAN METODE TF-IDF Sagita Efendi; Sibyan, Hidayatus; Nur Hasanah
Clean Energy and Smart Technology Vol. 3 No. 1 (2024): October
Publisher : Nacreva Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58641/cest.v3i1.103

Abstract

Information needs are important in public service to give users an initial understanding of the services, the lack of information can make the public service doesn’t work like its function. Based on that reason, a study has been done to create a system that can provides information and assistance on Dinas Sosial PMD at Wonosobo Regency. The study creates chatbot named HADIR bot as a virtual assistant on public services and assistance in Dinas Sosial PMD at Wonosobo regency with TF-IDF method. The goals of this chatbot are to support public service and also virtual assistant that can run 24 hours a day based on the users request or question in chatbot, this chatbot also provides initial description and frequently asked question that often asked to the employees, and provides basic information and document template about list of the assistance. The design of the chatbot uses UML (Unified Modelling Language) like Use Case, Activity Diagram, and Sequence Diagram. This Chatbot created with telegrams features named BotFather, with the function made by Python and text editor uses Visual Studio Code, the chatbot runs in Telegram with TF-IDF method in term weighting and cosine similarity method to evaluate the similarities between document.
PRODUCT SALES PREDICTION SYSTEM AT REX COMPUTER STORE USING WEBSITE-BASED SINGLE EXPONENTIAL SMOOTHING METHOD Rizqi Kafa Muntaqa; Sibyan, Hidayatus; Dimas Prasetyo Utomo
Clean Energy and Smart Technology Vol. 3 No. 2 (2025): April
Publisher : Nacreva Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58641/cest.v3i2.136

Abstract

Estimating or predicting the amount of sales is one of the factors that determines whether a company's business is running well or not. The problem faced by Rex Computer is that it cannot predict product sales in the future with current sales data, so customers may run out of stock when they want to buy the items they want. This study aims to create a system that is able to predict sales and determine the level of accuracy of the system. This study will implement the single exponential smoothing method, which is one of the prediction algorithms. The method used is an interview with Rex Computer employees regarding product sales and sales data is obtained. As well as conducting a literature study to find data from various literatures about predictions using the single exponential smoothing method. This study produces a website-based prediction system that can predict with results for product sales in the USB Wifi category with an alpha value of 0.1, namely the prediction results of 6-7 products, MAD = 2.11, MSE = 8.16, RMSE = 2.85560831906761, MAPE = 18.52, and accuracy = 81%,
GOLD PRICE PREDICTION SYSTEM USING THE RANDOM FOREST METHOD Kurnia Agung Prastyo; Sibyan, Hidayatus; Nur Hasanah
Clean Energy and Smart Technology Vol. 4 No. 1 (2025): October
Publisher : Nacreva Publisher

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

Abstract

Gold is one of the most important commodities, serving as an investment instrument and a hedge against inflation. The high volatility of gold prices demands accurate predictions to support investment decision-making. This study aims to develop a gold price prediction system using the Random Forest method based on machine learning. The dataset used consists of daily gold prices from Yahoo Finance covering the period from 2020 to 2024. The research stages include data collection, preprocessing, model training, evaluation, and implementation into an interactive website. Evaluation results show a MAE of 329.31, MSE of 148,599.40, RMSE of 385.49, and a negative R² value (-1.97), indicating the model is not yet accurate. However, the system can provide a general overview of gold price trends and can be further improved to enhance prediction accuracy.
Co-Authors Abdul Adib Aflih Maulana Afrilia Astiana Agustina Mawarni Ahmad Asadul Ma'arif Ahmad Faqih Ahmad Fawwazun Rifqi Ahmad Misbachudin Riyadi Ahmad Panji Hafiidh Ahmad Sahab Ainun Nabila, Shafa Airlangga Bagus Pratama Putra Subandi Al Amali, Diah Alan Yudha Aditama Aldi Bastiatul Fawait Fawait Alfin Muzakki Thoha Alif Muwafiq, M. Amir Fatah Sofyan Angga Wicaksono Anggraeni, Rosmalia Arfina Sa’diyah Arifin, Febi Arini Lutfi Solihah Asnawi, Fuat Asnawi, Muhamad Fuat Asnawi, Muhamad Fuat Asnawi Asnawi, Muhammad Fuat Astuti, Elvina Tri Astuti, Erna Dwi Aulia Insani, Fitri Awaludin, Elfan Rizqi Awaludin, Mahmud Basuki Nur Halim Bayu Pratama, Sandikha Caesar Dwi Kartika Dede Irma Dharmawan, Alan Dhika Maulana Okto Wibowo Dian Ani Aneka Sari Dian Asmarajati Dian Asmarajati dian asmarajati Dimas Prasetyo Utomo Diyan Rifai Dwitya Ilham Kurniadi Dwiyan Nur Santosa Dzikron Abdullah Eka Sefia Lestari Erifatul Khasanah, Rifka Erna Dwi Astuti Erna Dwi Astuti Erna Dwi Astuti Fajar Romadhon Fazira Andra Putri Fendi Setiawan Fitri Nurul Fatimah Frans Maulana Andika Fuat Asnawi, Muhamad Gilang Pratama Haifa Shani Habibatun Nasywa Hani Faturafiqoh Hari Setiawan Hartiyah, Sri Hendriani, Adinda Septi HERMAWAN Hermawan Hermawan Hidayat, Muslim Hidayat, Muslim hidayat, Muslim Ikmal Wirawan, Niko Iman Ahmad Ihsannudin Iman Ahmad Ihsanuddin Indah Lestari, Annisa Ira ‘Ainu Rohmah Irnawati Isna Aulia Septiani Izzatul Fitriani Julia Sarisma Kaila Shafa' Nuha Saffanah Kamal Burhanudin, Muhammad Khafiska Khoerunnisak Khanifatus Solikhah Kheysa Valendria Khoirunnisa Fitriana Khotib Surahman Kiki Rizki Amalia Kurnia Agung Prastyo Laely Nur Wahidah Laili Mukaromah Lasimin LATIFAH Lena Novitasari Lina Fauziah M. Alif Muwafiq Baihaqi M. Fuat Asnawi M. Fuat Asnawi M. Katami Usaqil Muna Ma'ruf, Ahmad Mahmudati, Rina Mardiyantoro, Nahar Marfuah Marfuah Marsa Salsabila, Avila Melly Amalia Mu'iz, Ngivanul Muhamad Farkhan Abidin Muhamad Fuat Asnawi Muhamad Mufid Bachri Muhammad Brilian Kalam Muhammad Danial Fitroh Muhammad Faradhika Prabayu Muhammad Fuadzy Al Khadziq Muhammad Yahya Muslim Hidayat Mustikaning Sholikhah, Meiliana Mu’adz Ibnu Ghofur Nahar Mardiyantoro Nahar Mardiyantoro Nahar Mardiyantoro Nahar Mardiyantoro Naila Mumtazah Nihaya Zahra Novitasari Nukhbatun Nisa Nulngafan Nulngafan Nulngafan Nulngafan Nulngafan Nulngafan Nulngafan Nulngafan Nur Hasanah NUR HASANAH Nur Hasanah Nur Hasanah Nur Hasanah Nur Hasanah Nur Imamul Muttaqien Nur Ishaq Fauzi Nur Jihad Demokrasiyanto Nurhafizha Uswendi, Diva Nurhidayati, Ely Nurul Kharisma Nuryanti Odhian Wisnu Pratama p, Muhammad Restu Panca Wisnu Wardani pawiliyah Pratama Surya Harynto Pratama, Tegar Rafi Putri Milana Putri Uminatul Awalliyah Rafitno, Anaf Rahma Dhara Zafira Rezqa Abi Nugroho Rina Mahmudati Riski Khasanah Rizki Adi Nugroho Rizki Indah Lestari Rizqi Kafa Muntaqa Rizqi Putri Utami Roni Mahendra, Figih Rosida El Rahma Sabar Abidin Sabila Risqi Andriani Safina Maulida Safira Azkiya Putri Sagita Efendi Sahal Mufid Said, Muhammad Arju Saifu Rohman Saifu Rohman Saiful Arin Azhari Salsabila, Mufida Sela, Debi Siti Badriyah Siti Laeli Nuzul Liana Siti Mutoharotul Awaliyah Sukowiyono Sulung Alfianto Akbar SUSI RAHMAWATI Suwondo, Adi Tika Angitania Ucie Soifatul Fauzi Valdivian Aprilisianto Vika Angevania W.A, Bambang Soedijono Wafaa, Rifig Al Wafi Abiyya Achmad, Hifni Wahyu Irawati Wildan Adib Furqon Wirayuda, Reynal Dista Wiwid Muzayyanah Yudhi Fajar Saputra Yurio Dwi El Saputra Zulhilmi Dharma Nugraha