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All Journal ComEngApp : Computer Engineering and Applications Journal TEKNIK INFORMATIKA Scientific Journal of Informatics Jurnal Pengabdian Kepada Masyarakat (Indonesian Journal of Community Engagement) Produktif : Jurnal Ilmiah Pendidikan Teknologi Informasi JITK (Jurnal Ilmu Pengetahuan dan Komputer) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Applied Information System and Management Jurnal Sisfokom (Sistem Informasi dan Komputer) J-SAKTI (Jurnal Sains Komputer dan Informatika) IJISTECH (International Journal Of Information System & Technology) Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Jurnal Pendidikan dan Konseling Indonesian Journal of Business Intelligence (IJUBI) ILKOMNIKA: Journal of Computer Science and Applied Informatics Jurnal Berdaya Mandiri Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat Innovation in Research of Informatics (INNOVATICS) IJISTECH International Journal of Engineering, Science and Information Technology Teknik: Jurnal Ilmu Teknik dan Informatika J-SAKTI (Jurnal Sains Komputer dan Informatika) TRIBUTE: JOURNAL OF COMMUNITY SERVICES Parta: Jurnal Pengabdian Kepada Masyarakat PAKDEMAS : Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat As-salam Publikasi Hasil Pengabdian Kepada Masyarakat. Jurnal Karya Abdi Masyarakat Jurnal Pengabdian Pada Masyarakat Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia Jurnal Relawan dan Pengabdian Masyarakat REDI TeknoKreatif: Jurnal Pengabdian kepada Masyarakat Inovasi Gagasan Abdimas & Kuliah Kerja Nyata JITEEHA: Journal of Information Technology Applications in Education, Economy, Health and Agriculture
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Automatic Short Answer Assessment Using The Cosine Similarity Method Bahri, Samsu; Praseptiawan, Mugi; Yulita, Winda
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.608

Abstract

In the learning process, most exams to assess learning achievement have been carried out by providing questions in the form of short answers or essay questions. The variety of answers given by students makes a teacher have to focus on reading them. This process of assigning grades is difficult to guarantee quality if done manually. Moreover, each class is mastered by a different teacher, which can cause inequality in the grades obtained by students due to the influence of differences in teacher experience. Therefore the automated answer assessment research was developed. The automatic short answer assessment is designed to automatically assess and evaluate students' answers based on a trained set of answer documents.  The automated grading system uses the cosine similarity method to determine the degree of similarity of a student's answer to the teacher's answer. While the word weighting used is the Term Frequency-Inverse Document Frequency (TF-IDF) method.  The data used is a question totaling 5 questions with each question answered by 30 students, while the students' answers are assessed by experts to determine the real value. This study was evaluated by Mean Absolute Error (MAE) with the resulting value of 0.22.
Sistem Kontroling Dan Monitoring Hama Padi Berbasis Internet of Thing Di Kelompok Tani Bina Karya Pringsewu, Lampungb Untoro, Meida Cahyo; Praseptiawan, Mugi; Ashari, Ilham Firman; Yunira, Eka Nur'azmi; Hanifah, Raidah
Jurnal Karya Abdi Masyarakat Vol. 5 No. 3 (2021): Jurnal Karya Abdi Masyarakat
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (824.176 KB) | DOI: 10.22437/jkam.v5i3.17298

Abstract

Indonesia salah satu negara agraris dengan penghasil produk pertanian untuk keperluan pangan. Komoditas utama yang paling banyak dikembangkan dan ditanam pada sektor pertanian di Indonesia adalah padi. Lahan pertanian yang luas dan produksi padi yang melimpah menjadi unggulan. Lampung sendiri memiliki kabupaten penghasil taman pangan utama padi yang terdapat di kabupaten pringsewu dan sekaligus lumbung padi salah satunya Kelompok Tani Bina Karya. Kebutuhan pangan yang terus meningkat harus diimbangi dengan jumlah produksi padi yang cukup setiap tahunnya. Terlepas dari lahan dan produksi petani memiliki kendala pada masa tanam padi. Kendala yang terjadi mengakibatkan menurunnya hasil panen secara menyuruh atau malah gagal panen dikarenakan hama. Wereng coklat, belalang, burung bagian dari hama yang menyerang padi. Kelompok Tani Bina Karya melakukan pembasmian hama secara manual dengan menggunakan pestisida dan bertahan sementara. Penggunaan pestisida sebagai pembasmian hama secara kimiawi menimbulkan dampak pencemaran lingkungan, misalnya pencemaran air tanah, petani mengalami keracunan ketika melakukan penyemprotan pestisida. Untuk menyelesaikan permasalahan hama padi tim pengusul membuat teknologi tepat guna sebagai salah satu solusi alternatif dalam pengurangan serta kontroling dan monitoring lahan pertanian dari hama pengganggu dan kondisi lahan. Sistem Kontroling dan Monitoring Hama Padi Berbasis Internet of Thing di Kelompok Tani Bina Karya Pringsewu, Lampung.
The Development and Implementation of M-Edupayment: A Multi-Payment Platform for SMK Negeri 7 Bandar Lampung Praseptiawan, Mugi; Utoro, Meida Cahyo; Ashari, Ilham Firman; Algifari, Muhammad Habib; Afriansyah, Aidil
Jurnal Pengabdian kepada Masyarakat (Indonesian Journal of Community Engagement) Vol 11, No 1 (2025): March
Publisher : Direktorat Pengabdian kepada Masyarakat Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jpkm.100850

Abstract

This community engagement activity aimed to develop a mini bank website, m-EduPayment, integrated with the iPaymu payment gateway as an Application Programming Interface (API). The project was implemented at SMK Negeri 7 Bandar Lampung. System development followed the Personal Extreme Programming (PXP) method, which included the stages of Requirements, Planning, Iteration Initialization, Design, Implementation, and System Testing. PXP, a variant of Extreme Programming, was specifically adapted for individual developers. The activity involved 31 respondents, consisting of 10th and 11th-grade students, who evaluated the system using the System Usability Scale (SUS) to measure its usability. Interviews with teachers (superadmins) and student administrators were also conducted to identify initial requirements and gather feedback on the system design. Data analysis utilized a Likert scale, where respondents rated various system aspects on a scale from 1 (strongly disagree) to 5 (strongly agree). SUS scores were calculated using standard formulas to determine a final score, which was then classified into usability categories. The average SUS score was 91, falling under the "Excellent" category (Grade A). The development of the mini bank website introduced new features, including online payment services for tuition fees (SPP), waste banks, and savings. System testing achieved a 99% functional success rate, demonstrating the platform’s high usability in the school environment. Respondents provided overwhelmingly positive feedback, affirming the successful implementation and functionality of the website.
Peningkatan Kualitas Hidup Masyarakat Desa Margasari LabuhanMaringgai Lampung Timur melalui Pelatihan Pengelolaan Sampahdan Teknologi Pendidikan Aidil Afriansyah; Andre Febrianto; Mugi Praseptiawan; Hafiz Budi Firmansyah; Naufal Raki
Jurnal Relawan dan Pengabdian Masyarakat REDI Vol. 2 No. 4 (2025): Mei
Publisher : Yayasan REDI Tiga Monas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69773/tk72p376

Abstract

Kegiatan Kuliah Kerja Nyata (KKN) yang dilaksanakan di Desa Margasari, Kecamatan Labuhan Maringgai,Lampung Timur bertujuan untuk mengatasi permasalahan utama di bidang lingkungan dan pendidikan.Kegiatan ini melibatkan penyuluhan pengelolaan sampah dan pemanfaatan tanaman obat keluarga(TOGA), pelatihan pembuatan kerajinan dari bahan limbah, serta penggunaan teknologi informasi untukpendidikan. Hasil kegiatan menunjukkan peningkatan pemahaman masyarakat tentang pengelolaansampah dari 40% menjadi 70%, serta peningkatan kemampuan siswa dalam penggunaan komputer dari20% menjadi 70%. Dampak positif dari kegiatan ini adalah peningkatan pendapatan keluarga melaluipenjualan kerajinan dan peningkatan motivasi belajar siswa. Evaluasi kegiatan menunjukkan antusiasmemasyarakat yang tinggi dan keinginan untuk melanjutkan program serupa di masa depan. Saran untukperbaikan mencakup peningkatan durasi pelatihan dan kerjasama dengan pihak pemerintah serta sektorswasta untuk memperluas cakupan program
EMPOWERMENT SCHOOL DROPOUTS THROUGH FUN LEARNING TO PREVENT EARLY MARRIAGE IN CEPOKO VILLAGE, SUMBER DISTRICT, PROBOLINGGO Anggraini , Ade Eka; Mugi Praseptiawan; Jati Fatmawiyati; Khusnul Khotimah; Zativalen, Oriza
PAKDEMAS : Jurnal Pengabdian Kepada Masyarakat Vol 4 No 1 (2024): Desember
Publisher : Fakultas Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58222/pakdemas.v4i1.312

Abstract

Every citizen has the right to receive education and the state is responsible for financing it. This is needed to raise awareness in the community that education is very important. With education we can prevent early marriage. The purpose of this community service activity is to provide an understanding of the importance of education as an effort to strengthen the community's understanding of the consequences of early marriage. The target of this activity is to provide socialization to the community in Sumber Village, Sumber District, Probolinggo Regency. Based on this activity, the results obtained were that raising public awareness to increase knowledge so that children at the age that should be following formal education do not stop due to financial constraints, so that they are not forced to only complete basic education and undergo marriage at an inappropriate age. and Increasing public awareness of the importance of attention and concern for children's educatio
Analysis and Implementation of Blowfish and LSB Algorithm on RGB Images using SHA-512 Ashari, Ilham Firman; Praseptiawan, Mugi; Baraku, Randi; Filiana, Edinia Rosa
Computer Engineering and Applications Journal (ComEngApp) Vol. 13 No. 1 (2024)
Publisher : Universitas Sriwijaya

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

Abstract

The growth of the internet globally keeps increasing as time goes. There's a big amount of data type saved there too. Those data need to be secured so anyone who doesn't have the right to access them can access it. The purpose of this article is to secure text information into image media using the Blowfish method for encrypting text information and securing it using the Hash function SHA-512 and then embedded it in image media using the Least Significant Bit (LSB) method. The result of implementing those methods using image media sized 138Kb and 39.85Kb with plaintext measuring 27 and 85 characters shows that integrity data is secured with SHA-512 method. The test result using PSNR method to get the score of image quality after embedding information to the image shows that the average number of PSNR’s score is 70,74 dB which means the quality is good and has less difference from the original image.
Classification of Used Car Prices Using the Naive Bayes Method Abillah, Bintang; Pratama, Djourdi Amrida; Baskara, Rizandi Agung; Praseptiawan, Mugi; Hanfiro, Pauline
Journal of Information Technology application in Education, Economy, Health and Agriculture Vol. 2 No. 1 (2025): February
Publisher : Lumina Infinity Academy Foundation

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

Abstract

This research uses the Naive Bayes algorithm to predict used car purchasing decisions based on attributes such as brand, year of production, mileage, engine condition, completeness of features, and maintenance history. By applying the Gaussian Naive Bayes approach to handling continuous data, this research aims to develop a reliable prediction model while identifying the attributes that most influence purchasing decisions. The test results show that the prediction model achieved a correct accuracy level of 80%, and an incorrect accuracy of 20%, which indicates the ability of the Naive Bayes algorithm to handle data classification. This research provides insights that can support industry players in designing more effective sales strategies based on accurate data analysis.
Advancing the Measurement of MOOCs Software Quality: Validation of Assessment Tools Using the I-CVI Expert Framework Praseptiawan, Mugi; Che Pee, Ahmad Naim; Zakaria, Mohd Hafiz; Noertjahyana, Agustinus
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.911

Abstract

The growing use of MOOCs in the post-pandemic era, particularly in developing countries, requires the availability of valid assessment tools to ensure software quality that meets users' needs. However, several tools are still being used without a proper content validation process, which risks producing biased and unrepresentative data. This study aims to evaluate the validity of the content of an assessment instrument designed to measure the dimension of software quality on the Massive Open Online Courses (MOOC) platform, particularly in the context of the increased adoption of online learning post-pandemic in developing countries. The instrument comprises 27 statement items representing ten quality software factors: functionality, usability, reliability, performance, security, maintainability, portability, compatibility, support, and integration. The validation was carried out by involving seven experts in information systems and digital learning. The method used is an item-level content validity index (I-CVI) based on a descriptive quantitative approach, with each item being assessed using a 5-point Likert scale. An item is declared valid if it obtains an I-CVI score of ? 0.79. The analysis showed that 21 items were valid; three needed to be revised at the I-CVI value between 0.70–0.78, and 3 invalid items at the I-CVI value 0.70. The functionality, usability, support, and integration quality factors had the highest levels of validity, while the safety and support dimensions showed a higher degree of divergence in the expert assessment. These findings highlight the need for content validation to ensure MOOC indicators are accurate and relevant. The study showed the need for advanced validation tests involving real users and other validation methods, such as Aiken V or the fuzzy analysis hierarchy process (FAHP) to enhance the reliability and practical relevance of the tools developed.
Transformasi Digital Layanan Posyandu: Pengembangan Sistem Informasi Berbasis Web di Desa Marga Agung Marbun, Rustian Afencius; Sinaga, Nydia Renli; Gunawan, Rayhan Fatih; Sianturi, Elsa Elisa Yohana; Revangga, Dwi Arthur; Siregar, Abu Bakar Siddiq; Laisya, Nashwa Putri; Yusuf, Muhammad; Untoro, Meida Cahyo; Praseptiawan, Mugi; Ashari, Ilham Firman; Widianingsih, Mastuti
PUBLIKASI PENGABDIAN KEPADA MASYARAKAT Vol 5 No 1 (2025)
Publisher : Fakultas Ekonomi dan Bisnis Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/padimas.v5i1.12206

Abstract

Posyandu memiliki peran strategis dalam pelayanan kesehatan masyarakat di tingkat desa, namun masih menghadapi berbagai kendala dalam pengelolaan data yang bersifat manual. Penelitian ini merancang dan mengimplementasikan sistem informasi Posyandu berbasis web untuk meningkatkan efisiensi pencatatan, keamanan data, serta kualitas layanan. Dengan pendekatan Modified Waterfall, pengembangan dilakukan melalui tahapan analisis kebutuhan, desain UI/UX, pengembangan perangkat lunak dengan teknologi NextJS dan PrismaDB, uji coba sistem, pelatihan kader, dan evaluasi efektivitas. Hasil pelaksanaan menunjukkan bahwa sistem ini mampu mempercepat pelaporan, meminimalkan kehilangan data, dan meningkatkan literasi digital kader. Sistem juga mendukung ekspor data untuk keperluan pelaporan desa serta penyajian grafik statistik kesehatan. Diharapkan sistem ini dapat direplikasi di wilayah lain sebagai bagian dari digitalisasi layanan dasar kesehatan desa.
Sistem Monitoring dan Kontrol Budidaya Ikan Nila Berbasis IoT dengan Bioflok (Studi kasus: Kelompok Budidaya Ikan Sadewa Mandiri, Pringsewu) Ashari, Ilham Firman; Untoro, Meida Cahyo; Praseptiawan, Mugi; Afriansyah, Aidil; Nur'azmi, Eka
Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat Vol 22, No 2 (2022): Suluah Bendang: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/sb.02760

Abstract

Kelompok pembudidaya ikan sadewa muda mandiri saat ini masih mengalami permasalahan dalam pembudidayaan ikan, hal ini dikarenakan control dan monitor mash dilakukan secara manual. Beberapa parameter yang terus dipantau oleh pembudidaya adalah PH, Kadar nutrisi air, dan suhu. Hal ini tentu saja tidak efektif dan memakan waktu. Oleh karena itu perlu system yang dapat melakukan monitoring terhadap parameter PH, kadar nutrisi air, dan suhu air, dan juga dapat melakukan control terhadap kualitas air. Hal ini dikarenakan kualitas air merupakan hal yang penting untuk budidaya ikan dengan teknologi bioflok. Dengan adanya system ini maka monitoring dan control dapat dilakukan dengan mudah lewat aplikasi mobile yang dapat terintegrasi dengan alat di luar, sehingga pembudidaya ikan tidak perlu datang dan melihat kondisi kolam secara berkala. Kegiatan pengabdian dilakukan dengan survei, persiapan pembuatan alat, pembuatan alat, integrasi alat, pengujain system, dan pelaksanaan kegiatan. Sistem ini sudah melakukan berbagai pengujian, seperti pengujian akurasi dan pengujian fungsional. Berdasarkan hasil pengujian akurasi,sensor suhu DS18B20 dan sensor DF Robot PH Meter V 1.1 memilik akurasi yang baik yaitu masing-masing 95,87% dan 98,28%. Sedangkan pada sensor Gravity TDS Meter V 1.0 masih belumcukup baik dimana persentase akurasi yang diperoleh adalah 93,44%.
Co-Authors Abillah, Bintang Adinda Sekar Tanjung Aditya Wahyu Nugraha Afriansyah, Aidil Agustinus Noertjahyana Ahmad Naim Bin Che Pee Aidil Afriansya Aidil Afriansyah Aidil Afriasnyah Alam Fathurochman, Alam Alfajar Puja Kusuma Algifari, Muhammad Habib Amirul Iqbal Amrulloh, Iqbal Andika Setiawa Andika Setiawan Andre Febrianto Anggraini , Ade Eka Ardi Gaya Manalu Arre Pangestu Athalla, Muhammad Nadhif Bahri, Samsu Baraku, Randi Baskara, Rizandi Agung Che Pee, Ahmad Naim Dadan Sujana Daniel Rinald Dita Alviuni P Drajat, Hilmi Maulana Dyah Ayu Larasati Eka Nur'azmi Yunira Eko Dwi Nugroho Eko Dwi Nugroho Endo Pebri Dani Putra Fauzan Natsir Feri Fahrianto Filiana, Edinia Rosa Firmansyah, Hafiz Budi Gunawan, Rayhan Fatih Hanfiro, Pauline Hersa Dwi Yanuarso Ilham Firman Ashari Ilham Firman Ashari Jati Fatmawiyati Khusnul Khotimah Kurniawansyah, Apri Laisya, Nashwa Putri Leo Viranda Millennium Lisdayana, Nurmalisa M. Syamsuddin Wisnubroto M. Yafi Fahmi Madi Madi Marbun, Rustian Afencius Maria Oktarise Natania Gultom Marsista Buana Putri, Marsista Buana Mastuti Widianingsih, Mastuti Matdoan, Sakina Meida Cahyo Untoro Miranti Verdiana Muhamad Djuanda Muhammad Affandi Muhammad Iqbal Muhammad Nadhif Athalla Muhammad Yusuf Naufal Raki Nela Agustin Kurnianingsih Nuk Ghurroh Setyoningrum Nur'azmi, Eka Oriza Zativalen, Oriza Perdana, Agung Mahadi Putra Prabandari, Pungki Resti Praramadhana, Daffa Pratama, Djourdi Amrida Pungki Resti Prabandari Putri, Nabila Muthia Putty Yunesti Radhinka Bagaskara Rahman Indra Kesuma Rahmat Setiawan Raidah Hanifah Raidah Hanifah Ramadhan, Irzal Raisya Revangga, Dwi Arthur Rinaldi, Daniel Risfihan Rafi Salisu, Imam Auwal Samsu Bahri Sianturi, Elsa Elisa Yohana Sinaga, Nydia Renli Siregar, Abu Bakar Siddiq Sisilia Juli A Solly Aryza Sophia Nouriska Sudiarjo, Aso Suranta, Akmal Fauzan Untoro, Meida Cahyo Untoro, Meida Cahyo Utoro, Meida Cahyo Vebera Maslami Verdiana, Miranti Wafiqah Azhar , Afra Wafiqah Azhar, Afra Winda Yulita Winda Yulita Wisnubroto, M. Syamsuddin Yulita, Winda Yunira, Eka Nur'azmi Zainal Arifin Zakaria, Mohd Hafiz