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All Journal International Journal of Electrical and Computer Engineering Jurnal Dinamika Pengabdian (JDP) Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Penelitian Pendidikan IPA (JPPIPA) IT JOURNAL RESEARCH AND DEVELOPMENT Jurnal Teknik Informatika UNIKA Santo Thomas Building of Informatics, Technology and Science Jurnal Pendidikan Teknologi Informasi dan Vokasional Indonesian Journal of Electrical Engineering and Computer Science JIIP (Jurnal Ilmiah Ilmu Pendidikan) MEANS (Media Informasi Analisa dan Sistem) International Journal Of Science, Technology & Management (IJSTM) JPM: JURNAL PENGABDIAN MASYARAKAT SECONDARY : Jurnal Inovasi Pendidikan Menengah (JIPM) Journal La Edusci TEACHING : Jurnal Inovasi Keguruan dan Ilmu Pendidikan EDUTECH : Jurnal Inovasi Pendidikan Berbantuan Teknologi EXPLORER Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Journal of Computer Science and Information Systems (JCoInS) Jurnal Pengabdian Masyarakat Gemilang (JPMG) Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Innovative: Journal Of Social Science Research Jurnal Arsitektur Sabangka Abdimas Jurnal Pengabdian Masyarakat Sabangka Jurnal Gemilang Informatika (GIT) EDUCATIONAL: Jurnal Inovasi Pendidikan dan Pengajaran SUBAKTYA, Unpar Community Service Journal
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Journal : international journal of science technology

 1 
Clinical Information System Using Extreme Programming Method Purnama, Iwan
International Journal of Science, Technology & Management Vol. 4 No. 5 (2023): September 2023
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v4i5.931

Abstract

Clinic is a health service facility that organizes individual health services and provides basic and/or specialist medical services. If the clinic does not use a computerized system, it will hamper the patient handling process. Obstacles were found at the Rantauprapat Internal Clinic Clinic, including patient registration which was still done manually with patients having to fill out paper forms directly to the clinic, not having a queuing system for treatment, medical record management which was still manual by handwriting. This can take a lot of time in the data search process. The purpose of this application is to facilitate daily operational activities in clinics that run quickly and precisely, as well as medical data management to be more accurate (minimizing human error). The analysis method uses the Soft System Methodology (SSM), and the system development method uses Extreme Programming (XP). This website-based application uses the PHP programming language which is supported by the MySQL database. Based on blackbox testing, all features can run/100% valid. This information system helps the work process in the clinic to be faster, documenting structured medical records, reducing paper use, and facilitating activities in patient care.
Automatic Monitoring System Iot (Internet Of Things) Based Water Tanks Pane, Rahmadani; Purnama, Iwan; Dar Hasibuan, Halmi; Rasyid Munthe, Ibnu
International Journal of Science, Technology & Management Vol. 5 No. 4 (2024): July 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i4.1151

Abstract

Water tanks are widely used to store water in the community. However, the filling process still uses a manual method so it cannot monitor/monitor the water level in the tank, so when the water is full in the tank until it overflows it is then turned off. Water tanks are often placed at a height to take advantage of gravity so that water can flow optimally. The high position of the water tank is difficult for users to reach to determine the quality and volume of water. The performance of this tool has 2 conditions. The first condition will discuss the water level monitoring tool in the tank. Using the tool developed, the water pump can be turned on and off automatically which is controlled using a monitoring tool using a smartphone and the Blynk application with a water level indicator. , water flow, and watervolume and Notification of water conditions via Telegram. Technology for distributing and monitoring water in tanks is still limited to conventional means by turning on and opening the water tap. For this reason, a control system is needed that can monitor and control the water volume in several tanks through one application display on a smartphone such as Telegram. By using the NodeMCU ESP8266 as a microcontroller base, an ultrasonic sensor as a water volume measuring sensor, and a Mini Water Pump, the condition of the water volume and all changes can always be monitored via notifications on Telegram. Apart from that, the tool can also be controlled automatically or manually through the commands provided on Telegram. In this way, the concept of using Telegram as a water tank volume control and monitoring system can be the right alternative choice in designing a water tank control system. The research method used is a prototyping system. The expected result is the realization of automatic floodgates to make it easier for humans to carry out their tasks and make the system run more efficiently. Apart from being automatic, this tool has the advantage that it can be controlled remotely using the internet of things. The design of this automatic sluice gate uses an Arduino Uno microcontroller as a processing tool, and is equipped with an ultrasonic sensor, water level float switch sensor, servo motor.
Implementation of Convolutional Neural Network Algorithms to Detect the Ripeness of Palm Fruits based on Image Colors Guna Dharma, Aditya; Purnama, Iwan; Bangun, Budianto
International Journal of Science, Technology & Management Vol. 5 No. 4 (2024): July 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i4.1153

Abstract

The ripeness of oil palm fruit greatly affects the quality of the oil produced. Usually, humans manually detect the maturity of oil palm fruit, a process that can be inconsistent and time-consuming. Therefore, there is a need for automated methods that can improve accuracy and efficiency in determining the maturity of oil palm fruit. The study proposes using the Convolutional Neural Network algorithm to detect oil palm fruit maturity based on digital color images. We expect a convolutional neural network, known for its effectiveness in image analysis, to deliver accurate results in classifying fruit maturity. The aim of this study is to develop and test a model of a convolutional neural network that can classify oil palm fruit into three maturity categories: raw, ripe, and rotten. This study employs a maturity-categorized data set of oil palm images. We built and trained a convolutional neural network model using this data set. We evaluate the model performance using four main metrics: accuracy, precision, recall, and f1-score. We perform an in-depth analysis to assess model performance in each maturity category. The confusion matrix yielded an accuracy of 74.6%. The convolutional neural network model developed showed the highest precision results for the ripe fruit (86.00%), followed by rotten fruit (72.30%), and raw fruit (67.30%). We obtained the highest recalls (85.40%) for the raw fruit category, followed by ripe fruits (75.50%) and rotten fruits (72.30%.
Sentiment Analysis of Twitter towards the 2024 Indonesian Presidential Candidates Using the Naïve Bayes Algorithms Gunawan, Yogi; Purnama, Iwan; Rohani, Rohani
International Journal of Science, Technology & Management Vol. 5 No. 4 (2024): July 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i4.1154

Abstract

The increasing use of social media (Twitter) has made it a platform for the public to express their views on the Indonesian presidential candidate in the 2024 elections. The sentiment expressed through comments on Twitter provides important insights into the public perception of the candidates. However, given the volume and speed at which information is disseminated on social media, manual analysis of this sentiment becomes impractical. Therefore, the use of the Naïve Bayes algorithm for automatic sentiment analysis is considered essential to understanding voter support and preferences. The study aims to analyze Twitter users' sentiments towards three Indonesian presidential candidates in 2024, Anies, Ganjar, and Prabowo, using the Naïve Bayes algorithm. We categorize the results of this analysis into three sentiment categories: positive, negative, and neutral. The methods used in the study involved collecting Twitter comment data related to the three candidates, pre-processing data, labeling data, applying the Naïve Bayes algorithm for the classification of sentiment, and evaluation of the performance of the algorithm performed by calculating the level of accuracy. The results of the research showed that the Naïve Bayes algorithm was able to classify sentiments with fairly high precision, namely 75.54% for Anies, 82.74% for Ganjar, and 75.24% for Prabowo. The conclusion of this study is that sentimental analysis using the Naïve Bayes algorithm can provide significant insights into voter preferences and support. The sentimental data generated can serve as a strong foundation for decision-makers to design campaign strategies that are more effective and responsive to public perception. This research also opens up opportunities for further development in the use of sentimental analysis techniques in politics and campaigns.
Co-Authors Abdul Karim Agus Perdana Windarto Agustin, Risnawati Agustina, Asri Widya Aini, Putri Al Maahi, Muhammad Zuhri Alphadianto, Andanti Eveline Emmanuella Alvionita, Icha Andi Ernawati Andriani, Yovita Anita Sukmawati Ardansyah, Muhammad Ardansyah, Muhmmad Arif, Kamal A Arsanto, Hugeng Wimbo Ashari, Suci Attariqsyah , Dimaz Daffa Aulia, Masyitah Austensean Stanislaus Lumunon Balqi, Siti Fadillah Bangun, Budianto Bangun, Patricia Grasella Savalen Benny Louhenapessy, Bendjamin Budi Nugraha, Budi Dar Hasibuan, Halmi Dominggus Lekalette, Johanis Edi, Firman Febriani, Lisa Feri, Jonny Grasella, Patricia Guna Dharma, Aditya Gunawan, Yogi Hairani, Ummy Harahap, Aziddin Harahap, Nur Salimah Hasibuan, Elysa Rohanayani Hasibuan, Linda Suhela Hasibuan, Mila Nirmala Sari Heni Pujiastuti herwindo, Rahadhian P Ibrahim, Muhammad Sahlan Indah Lestari, Indah Irmayani, Deci Irwan Irwan Kamal Abdullah Arif Khairul Hadi Khairul Khairul, Khairul Lasinta Ari Nendra Wibawa Lestari, Pratiwi Lisa, Teresa Listia, Bella Ayu Lubis, Khoirunnisaiyah Lubis, Rizky Ramadhan Hasan M. Rafi Makanoneng, Jacqueline Manik, Timbul Marha As, Pawa Niassa Mega Fatimah Rosana Megahati S, Ruth Rize Paas Mimie Purnama Mira Dewi Pangestu Monica, Nelly Muhammad Aditya, Muhammad Muhammad Hamka N, M Rizqi Naibaho, Nora Nasution, Muhammad Bobbi Kurniawan Nathania Putri1, Nathania Nur Hidayah Nurhidayah Nurhidayah Nuridin Widya Pranoto Pane, Rahmadani Parulian Sitompul, Peberlin Prasetyo Adi, Puput Dani Pratama, Ilham Okta Prayuko, Bregas Vikri Puspaningrum , Puspaningrum Putra, Muhammad Taufik Dwi Rachmansyah , Bima Sakti Rachmansyah, Bima Sakti Rahadhian Prajudi Herwindo Ramadhan, Gibran RAMBE, MAHADI KESUMA Rasyid Munthe, Ibnu Rayhansyah, Muhammad Azka Rihi Hina, Bara Jonathan Rohani Rohani Rohman Setiawan, Iwan Roni Sugiarto S, Alwin Sacipto, Rian Sadiyah, Lilis Sakinah Sakinah Samsinar Samsinar Sandhi, Bagus Hari Saputra, Ramzi Sariningrum, Ros Sempurna, Teguh Seran, Ardi Peterson Setyawan, Filippus Cahyo Shina, Ibnu Silestian, Selvi Sinaini, La Siregar, Faisal Efendi Siregar, Julmahdi Siregar, Marlina Siregar, Sakinah Ubudiyah Solikhun Solikhun, Solikhun Sulaeman, Yaya Sumitro Sumitro Susi Susanti Syahputra Harahap, Hasmi Syahputra, Zulfahmi Syahrul Syaiful Zuhri Harahap Tambak, Riski Romadhon Tangkudung, Audrey G. Tedja, Suwardi Tiok Wijanarko Trianovie, Sri Wijaya , Aileen Febriani Wijaya, Aileen Febriani Wijaya, Rian Farta Yanris, Gomal Juni Yati, Emi Yudi Yuliyus Maulana, Yudi yusnita, nancy