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All Journal Media Farmasi : Jurnal Ilmu Farmasi (Journal Of Pharmaceutical Science) JPS Unimus QUANTUM: Jurnal Inovasi Pendidikan Sains Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Ilmiah Peuradeun JIEET (Journal of Information Engineering and Educational Technology) IJIS - Indonesian Journal On Information System Jurnal PAJAR (Pendidikan dan Pengajaran) Journal of Education Technology JURIKOM (Jurnal Riset Komputer) Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JURNAL MATHEMATIC PAEDAGOGIC Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming JOURNAL OF CHEMISTRY AND EDUCATION (JCAE) Jurnal Teknologi Dan Sistem Informasi Bisnis JATI (Jurnal Mahasiswa Teknik Informatika) Bubungan Tinggi: Jurnal Pengabdian Masyarakat Journal of Educational Chemistry (JEC) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) IJCOSIN : Indonesian Journal of Community Service and Innovation Repeater: Publikasi Teknik Informatika dan Jaringan
Yogo Dwi Prasetyo
Institut Teknologi Telkom Purwokerto
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

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Implementasi Metode RAD Untuk Pendaftaran Lowongan Kerja Melalui Bursa Kerja Berbasis Website M Yoka Fathoni; Sena Wijayanto; Sandhy Fernandez; Toni Anwar; Yogo Dwi Prasetyo
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 5 No 3 (2023): July 2023
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v5i3.861

Abstract

The system of recruiting workers in schools through special job fairs (BKK) is considered to be ineffective because the provision of job vacancies to alumni still uses information manually, such as using wall magazines as a place to post job vacancies and using social media such as Facebook as a means of information. Job opening is also considered less efficient due to limited users limited by social media itself. Registration is also done manually by alumni who come directly to BKK to register, and the vacancy data collection is still done manually, so it takes longer time to process registration data. The purpose of this research is to build a job vacancy registration system application through the BKK website based on the website to make it easier for BKK to provide job vacancy information and make it easier to recruit workers. This application development study uses the Rapid Application Development (RAD) method. Test the app using system black box and user usability testing methods.
Implementasi Algoritma K-Means Clustering dalam Penentuan Gangguan Tidur Seseorang berdasarkan Gaya Hidup Prasetyo, Yogo Dwi; Hidayati, Aisyah Fitri; Maulida, Elsa; Silalahi, Febri Y
JIEET (Journal of Information Engineering and Educational Technology) Vol. 8 No. 1 (2024)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jieet.v8n1.p54-61

Abstract

Abstrak— Gangguan tidur merupakan masalah kesehatan yang signifikan dan terus meningkat sehingga berdampak negatif pada kualitas hidup dan kesejahteraan individu. Gangguan tidur berkaitan erat dengan gaya hidup seseorang seperti durasi tidur sehari-hari, langkah harian, dan jumlah detak jantung yang mempengaruhi kualitas tidur. Gangguan tidur dapat mengurangi kenyamanan dan waktu tidur sehingga akan menyebabkan kualitas tidur yang buruk. Gangguan tidur yang seringkali terjadi adalah insomnia, sleep apnea, restless legs syndrome, hipersomnia, circadian rhythm disorders, dan parasomnia. Data pada penelitian ini bertujuan untuk dianalisis dan dikelompokkan berdasarkan gangguan tidur yang disebabkan oleh gaya hidup melalui salah satu metode data mining yaitu K-Means Clustering melalui identifikasi beberapa cluster yang memiliki gangguan tidur dan tidak memiliki gangguan tidur. Dengan menggunakan metode K-Means diperoleh bahwa berdasarkan data Sleep Duration dan Quality of Sleep terdapat 174 data pada cluster 1 yang menunjukkan adanya gangguan tidur insomnia, terdapat 164 data pada cluster 2 yang menunjukkan tidak adanya gangguan tidur, dan terdapat 36 data pada cluster 3 yang menunjukkan adanya gangguan tidur berupa sleep apnea dengan struktur silhouette score standar (medium structure). Sedangkan berdasarkan data Heart Rate dan Daily Steps terdapat 174 data pada cluster 1 yang menunjukkan adanya gangguan tidur insomnia, terdapat 164 data pada cluster 2 yang menunjukkan adanya gangguan tidur berupa sleep apnea, dan terdapat 36 data pada cluster 3 yang menunjukkan tidak adanya gangguan tidur dengan struktur silhouette score kuat (strong structure). Kata Kunci— Gangguan tidur, gaya hidup, data mining, K-Means, clustering.
Development of Ethnoscience-Based Organic Chemistry Practicum e-Module to Improve Students' Problem Solving Ability Prasetyo, Yogo Dwi; Syahmani, Syahmani; Dalu, Zaudah Cyly Arrum
JURNAL PENDIDIKAN SAINS (JPS) Vol 11, No 2 (2023): JURNAL PENDIDIKAN SAINS UNIVERSITAS MUHAMMADIYAH SEMARANG
Publisher : Pendidikan Kimia Unimus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jps.11.2.2023.21-29

Abstract

This study aims to develop an ethnoscience-based organic chemistry practicum e-Module, determine the feasibility of the developed e-Module, and test its effectiveness in improving the problem-solving abilities of Chemistry Education students. The development procedure in this research is adapted from Thiagarajan (4D), which consists of Define, Design, Develop, and Disseminate. The e-Module trial involved Chemistry Education students at Lambung Mangkurat University, consisting of five people for individual trials, 10 for small group trials, and 19 for field trials. Data was collected using response questionnaires and learning achievement tests. The feasibility test shows that the e-Module is in the very good category based on the assessment of media experts (88%), material experts (90%), and Education experts (89%). Student responses to using e-Modules were also very positive. There is a significant difference between the student's pretest and post-test after using the e-Module with sig <0.05 and experiencing a high increase in students' problem-solving abilities with an N-gain value of 0.77.
Sistem Informasi Pendataan Penduduk Di Desa Sokawera Berbasis Mobile Android dengan MetodeExtreme Programming Kurniawan, Adrian; Prasetyo, Yogo Dwi; Aldo, Dasril
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 2 (2024): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i2.794

Abstract

Population data collection is an activity of recording population data carried out by data collection officers under the supervision of the village head. The census officer has task of collecting and processing population data. When the data collection officer wanted to process population data, the officer experienced difficulties in finding data. With the development and advancement of information technology, it has a positive impact, namely in social life. This study aims to solve problems with data collection officers, namely searching for and processing population data using an information system designed based on Android. Information system designed with the Extreme Programming method. In this research, there is an information system using the Dart Programming language with the Flutter Framework. The database used is MySQL implemented as RestAPI. Blackbox testing is used to test information systems that aim to determine the function of the information system. The objective of this research is to be able to shorten the time of data collection officers in collecting data and managing population data. The results obtained from this study are the digitalization of population data
PENGEMBANGAN E-MODUL FITOKIMIA LAHAN BASAH BERBASIS STEAM-INKUIRI UNTUK AKSELERASI KEMAMPUAN PEMECAHAN MASALAH DAN LITERASI SAINS MAHASISWA Syahmani, Syahmani; Iriani, Rilia; Leny, Leny; Saadi, Parham; Prasetyo, Yogo Dwi; Mustarianti, Lila; Hayati, Farida; Febrianti, Shabrina Adzhani
QUANTUM: Jurnal Inovasi Pendidikan Sains Vol 14, No 2 (2023): Oktober 2023
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/quantum.v14i2.14839

Abstract

Penelitian ini bertujuan untuk mengembangkan  bahan ajar (e-modul) fitokimia lahan basah berbasis STEAM-Inkuiri yang valid, praktis dan efektif. Model pengembangan dalam penelitian ini menggunakan ADDIE. Penelitian dilakukan pada mahasiswa pendidikan kimia yang mengambil mata kuliah fitokimia. Teknik pengumpulan data yang digunakan berupa lembar validasi, angket dan tes penilaian. Hasil penelitian menunjukkan bahwa (1) validitas e-modul yang dikembangkan dalam kriteria ini sangat valid, (2) kepraktisan dan keterbacaan, dan respon mahasiswa terhadap e-modul yang dikembangkan dalam kriteria sangat praktis, (3) efektivitas dilihat dari n-gain kemampuan pemecahan masalah, literasi sains, dan pemahaman konsep mahasiswa secara berurutan 0,49; 0,68; 0,59 berada pada kriteria sedang dan diperkuat dengan hasil uji Wilcoxon(p value < 0,05) yang menunjukkan ada peningkatan yang signifikan antara hasil pre-test dan post-test. Disimpulkan bahwa e-modul yang dikembangkan valid, praktis dan efektif sehingga layak untuk meningkatkan kemampuan pemecahan masalah, literasi sains dan pemahaman konsep mahasiswa.
Workshop on Strengthening and Implementing STEM-Based Coding with ARTEC Japan-WOW Singapore - PPSTEMI: School Dissemination Syahmani, Syahmani; Mahardika, Andi Ichsan; Winarti, Atiek; Khairunnisa, Yasmine; Prasetyo, Yogo Dwi; Wiranda, Nurruddin; Dewantara, Dewi; Rusmansyah, Rusmansyah; Wati, Mustika; Putra, Aminuddin Prahatama; Purba, Harja Santana; Salam, Abdul; Fajriah, Noor; Saputra, Novan Alkaf Bahraini; Pamuji, Rizky; Khair, Muhammad Sa’duddien; Febriyanti, Emma Rosana; Alfianti, Dewi
Bubungan Tinggi: Jurnal Pengabdian Masyarakat Vol 7, No 1 (2025)
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/btjpm.v7i1.12520

Abstract

Based on initial questionnaire data filled out by Mathematics and Natural Sciences teachers in Barito Kuala (Batola) Regency and Banjarmasin City, it was found that understanding and application of STEM Coding in schools is still low, so it is necessary to hold a STEM Coding community service workshop. This community service project aims to help participants develop critical thinking, creative, collaborative, and STEM literacy (4C) skills. The four stages of the community service method are planning, implementation, observation, and evaluation. A total of 127 teachers participated in the workshops. Speakers from PPSTEMI, Artec Japan, and WOW Singapore presented in the hybrid format event. The material consists of three modules: STEM-based learning, STEM Coding programming with Arduino Basic (Stop and Go), and Intermediate (Controlling a Motorized Car). Activities were evaluated using a response questionnaire, to which 127 people responded. The findings revealed that, on average, 95.47% of participants thought favorably of this STEM Coding exercise.Critical thinking, creativity, collaboration, and STEM literacy are among the skills that workshop attendees can acquire—wrapped up this STEM Coding workshop to help them become more STEM literate. Based on initial questionnaire data filled out by Mathematics and Natural Sciences teachers in Barito Kuala (Batola) Regency and Banjarmasin City, it was found that understanding and application of STEM Coding in schools is still low, so it is necessary to hold a STEM Coding community service workshop. This community service project aims to help participants develop critical thinking, creative, collaborative, and STEM literacy (4C) skills. The four stages of the community service method are planning, implementation, observation, and evaluation. A total of 127 teachers participated in the workshops. Speakers from PPSTEMI, Artec Japan, and WOW Singapore presented in the hybrid format event. The material consists of three modules: STEM-based learning, STEM Coding programming with Arduino Basic (Stop and Go), and Intermediate (Controlling a Motorized Car). Activities were evaluated using a response questionnaire, to which 127 people responded. The findings revealed that, on average, 95.47% of participants thought favorably of this STEM Coding exercise.Critical thinking, creativity, collaboration, and STEM literacy are among the skills that workshop attendees can acquire—wrapped up this STEM Coding workshop to help them become more STEM literate. 
Deteksi Cyberbullying pada Pemain Sepak Bola di Platform Media Sosial “X” Menggunakan Metode Long Short-Term Memory (LSTM) Pawit Widiyantoro; Paradise Paradise; Yogo Dwi Prasetyo
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 3 No. 1 (2025): Januari: Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v3i1.382

Abstract

Social media has become a crucial part of modern life around the globe, providing users with various conveniences. However, its widespread use has also brought about new challenges, one of which is cyberbullying. This harmful issue can have serious emotional and physical effects on those targeted. Cyberbullying occurs in many areas, including sports, and soccer—a sport loved by millions—is no exception. Soccer players often face severe criticism, hate speech, and harassment on social media platforms. To tackle this problem, this study aims to create a strong model for detecting cyberbullying on the social media platform “X” using the Long Short-Term Memory (LSTM) method. By utilizing advanced machine learning techniques, the proposed model intends to identify and reduce instances of cyberbullying, helping to create a safer online space for athletes and the wider community.
Obesity Status Prediction Through Artificial Intelligence and Balanced Label Distribution Using SMOTE Riyandi, Arif; Mahazam Afrad; M Yoka Fathoni; Yogo Dwi Prasetyo
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 3 (2025): June 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i3.6204

Abstract

Obesity, a global health challenge influenced by genetic and environmental factors, is characterized by excessive body fat that increases the risk of various diseases. With over two billion individuals affected worldwide, addressing this issue is crucial. This study investigated the application of Artificial Intelligence (AI) to predict obesity status using a dataset of 1,610 individuals, including demographic and anthropometric data. Four AI algorithms were analyzed: Artificial Neural Network (ANN), K-Nearest Neighbors (KNN), Random Forest, and Support Vector Machine (SVM). The Synthetic Minority Over-Sampling Technique (SMOTE) was applied to address dataset imbalance. The results demonstrate that SMOTE significantly enhanced the models' performance, especially in recall and F1-score for minority classes, such as obesity. Random Forest achieved the highest accuracy (92%) and recall (92%) post-SMOTE. The ANN showed substantial improvement in recall, increasing from 77% to 89%, whereas the SVM achieved the highest precision (89%), minimizing false positives. Despite these improvements, KNN remained the least effective. The findings underscore the critical role of SMOTE in improving AI model accuracy for obesity prediction and highlight Random Forest as the most reliable algorithm for clinical decision-making. Limitations, such as dataset representativeness, suggest future research directions, including expanding data diversity and advanced feature selection techniques. This study provides valuable insights into leveraging AI and preprocessing methods for obesity management.
PENGEMBANGAN MODUL SURVEI PENDUDUK DESA SOKAWERA PADA OPEN SID MENGGUNAKAN METODE RAD Al Fikri, Mufid; Dwi Prasetyo, Yogo; Cahya Wardhana, Ariq
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 3 (2025): JATI Vol. 9 No. 3
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i3.13702

Abstract

Perkembangan sistem informasi saat ini banyak dimanfaatkan dalam aspek kehidupan. Salah satu contohnya yaitu dalam proses pencatatan data penduduk di Desa Sokawera. Saat ini proses pencatatan penduduk di Desa Sokawera masih dilakukan secara manual menggunakan formulir kertas dan proses pengolahan datanya juga masih secara manual. Untuk itu penelitian ini memberikan solusi dengan mengembangkan modul survei penduduk pada Open Sistem Informasi Desa. Bahasa pemrograman yang digunakan untuk mengembangkan sistem ini yaitu Hypertext Preprocessor (PHP) dengan menggunakan framework Code Igniter. Dalam penelitian ini, metode pengembangan sistem yang digunakan adalah metode Rapid Application Development (RAD). Metode RAD merupakan salah satu metode perancangan sistem dengan tingkat kedinamisan yang tinggi, serta memiliki siklus pengembangan yang relatif singkat. Tujuan dari penelitian ini yaitu untuk mengembangkan modul survey penduduk pada Open Sistem Informasi Desa (Open SID) yang dapat digunakan sebagai alat untuk proses pendataan penduduk di Desa Sokawera. Kemudian manfaat dari penelitian ini yaitu peneliti berharap sistem pencatatan data penduduk ini pemerintah Desa Sokawera dapat melakukan proses pencatatan dengan lebih cepat. Tidak hanya itu, diharapkan sistem ini dapat mempermudah dan meningkatkan efisiensi dalam pencarian data penduduk dengan lebih cepat.
IMPROVING NATURAL SCIENCE LEARNING ACTIVITIES AND OUTCOMES THROUGH AN "INTERNAL" LEARNING MODEL Jannah, Fathul; Sari, Raihanah; Prihandoko, Yogi; Dwi Prasetyo, Yogo; Indriati, Sonia
Jurnal PAJAR (Pendidikan dan Pengajaran) Vol. 7 No. 1 (2023): January
Publisher : Laboratorium Program Studi Pendidikan Guru Sekolah Dasar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33578/pjr.v7i1.9002

Abstract

Students’ low learning activity and outcomes in natural sciences learning are the problem discussed in this paper. The INTERNAL model integrates Inquiry, Number Head Together, and snowball throwing. This paper uses a qualitative approach and classroom action research (CAR), which was held for four meetings. Data analysis were teacher activity sheets, students’ learning activity sheets, and students’ learning outcomes sheets. Data collection techniques were observation and writing tests. The research subjects were 32 fifth-grade students of SDN Swato 2 Tapin for the academic year 2021/2022. The indicator of the success of students’ learning activity score was 58-72, and students’ learning outcomes, which has minimum standards under 70 with a classical percentage above 80%. The research results indicate that the teacher's teaching activity at the first meeting, which achieved 54 in the good category, increased to 74 in the very good category at the fourth meeting. Students’ learning activity classically at the first meeting that achieved 25% in a highly active category increased to 83,3% with a highly active category at the fourth meeting. Students’ learning outcomes at the first meeting with 50% classical completeness increased to 100% classical completeness at the fourth meeting. It can be concluded that applying the internal learning model can improve students’ learning activities and outcomes.
Co-Authors Abira Massi Armond Al Fikri, Mufid Amalia Beladinna Arifa Aminuddin Prahatama Putra Andi Ichsan Mahardika anim anim Anim Anim Aprilia Kusbandari, Aprilia Arif Riyandi Arif Sholahuddin Ariq Cahya Wardhana Atiek Winarti Chairunnisa Chairunnisa Dasril Aldo Dewi Alfianti Dewi Dewantara, Dewi Dewi, Ni Pt. Pande Mirah Surya Dwi Januarita Dwi Mustika Kusumawardani, Dwi Mustika Elfira Rahmadani Emma Rosana Febriyanti Fathul Jannah, Fathul Febrianti, Shabrina Adzhani Hari Susanti Hari Susanti Hayati, Farida Hidayati, Aisyah Fitri Indriati, Sonia Khair, Muhammad Sa'duddien Khofifah Putriyani Kurniawan, Adrian Leny Leny, Leny M Yoka Fathoni Made Risza Kartika Mahazam Afrad Maulida, Elsa Milana Sari Muhamad Awiet Wiedanto Prasetyo Mustarianti, Lila Mustika Wati, Mustika Nahri, Syifa Dhiya Atun Nika Sopranti Noor Fajriah, Noor Pamuji, Rizky Paradise, Paradise Parham Saadi, Parham Pawit Widiyantoro Pigi, Salman Prayogi, Restu Rahmadani, Elfira Rilia Iriani Rona Nisa Sofia Amriza Rusmansyah Rusmansyah, Rusmansyah Sandhy Fernandez Santana Purba, Harja Saputra, Novan Alkaf Bahraini Sari, Raihanah Sena Wijayanto Silalahi, Febri Y Sisilia Thya Safitri Sugeng Santoso Suyidno Suyidno Syahmani Syahmani Syahmani Tenia Wahyuningrum Toni Anwar Toni Anwar Ulkulbi, Muhammad Syifa Wahyurini Ediningrum Wiedanto, Muhammad Awiet Wiranda, Nurruddin Yasmine Khairunnisa Yogi Prihandoko Zaudah Cyly Arrum Dalu