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All Journal Media Penelitian Pendidikan : Jurnal Penelitian dalam Bidang Pendidikan dan Pengajaran Sistemasi: Jurnal Sistem Informasi Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Jurnal CoreIT Jurnal Pengabdian Pada Masyarakat IT JOURNAL RESEARCH AND DEVELOPMENT Dinamisia: Jurnal Pengabdian Kepada Masyarakat Jurnal Pertanian Agros International Journal of Community Service Learning Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Ensiklopedia of Journal JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Al-Khidmat : Jurnal Ilmiah Pengabdian Kepada Masyarakat Jurnal Agrium Zonasi: Jurnal Sistem Informasi Best Journal (Biology Education, Sains and Technology) Jurnal Teknik Informatika (JUTIF) Community Empowerment Jurnal Cahaya Mandalika JUSTIN (Jurnal Sistem dan Teknologi Informasi) Margin Eco : Jurnal Ekonomi dan Perkembangan Bisnis Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan J-COSCIS : Journal of Computer Science Community Service Jurnal Ilmiah Fokus Ekonomi, Manajemen, Bisnis & Akuntansi (EMBA) CONSEN: Indonesian Journal of Community Services and Engagement International Journal of Educational Research Excellence (IJERE) Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat JURNAL KARYA ILMIAH MULTIDISIPLIN Jurnal Agro Fabrica Blantika : Multidisciplinary Journal JIPITI: Jurnal Pengabdian kepada Masyarakat INOVTEK Polbeng - Seri Informatika Jurnal Komtika (Komputasi dan Informatika)
Guntoro, Guntoro
Universitas Lancang Kuning
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Feature Extraction Analysis for Diabetic Retinopathy Detection Using Machine Learning Techniques Costaner, Loneli; Lisnawita, Lisnawita; Guntoro, Guntoro; Abdullah, Abdullah
Sistemasi: Jurnal Sistem Informasi Vol 13, No 5 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i5.4600

Abstract

Diabetic retinopathy is a serious complication of diabetes that can lead to blindness if not detected and treated early. Automated detection of diabetic retinopathy requires effective feature extraction techniques to enhance diagnostic accuracy. This study aims to develop a method for detecting diabetic retinopathy by utilizing Local Binary Pattern (LBP) combined with wavelet transform, and then classifying the extracted features using Support Vector Machine (SVM). The approach includes feature extraction from retinal images using LBP and wavelet transform. The extracted features are subsequently classified with SVM to evaluate performance in detecting diabetic retinopathy. Analysis results show that the dominant feature is found in the fifth row with a value of 0.57006, indicating the effectiveness of the LBP method in feature extraction. The developed model demonstrates high performance with an accuracy of 95.59%, precision of 96%, recall of 97.96%, and F1-score of 96.97%. The combination of feature extraction methods with SVM proves to be effective and reliable in detecting diabetic retinopathy, offering low error rates and high accuracy, thus potentially serving as a valuable tool in clinical diagnosis
Uji Potensi Alelopati Ekstrak Daun Mangga (Mangifera indica. L.) Sebagai Bioherbisida Terhadap Gulma Babandotan (Ageratum conyzoides L.) Guntoro, Guntoro; Yusuf Dibisono, Mhd; Sinaga, Anisyah
Agrium Vol 17 No 1 (2020)
Publisher : Faculty of Agriculture, Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/agrium.v17i1.2355

Abstract

Penelitian ini bertujuan untuk mengetahui efektivitas dan konsentrasi optimum ekstrak daun mangga (Mangifera indica L.) yang memiliki senyawa fenol yang berfungsi sebagai bioherbisida yang dapat menghambat pertumbuhan gulma Babandotan (Ageratum conyzoides). Penelitian ini dilakukan di rumah kaca STIPAP dari bulan April hingga Mei 2019. Metode yang digunakan adalah Desain Acak Lengkap Non-Faktorial. Variabel yang diamati adalah tinggi gulma, panjang akar gulma, bobot basah gulma, dan bobot kering gulma. Hasil penelitian ini menunjukkan bahwa senyawa alelokimia ekstrak daun mangga 60% merupakan konsentrasi yang efektif dan merupakan bioherbisida alternatif dalam mengendalikan pertumbuhan gulma. Kata kunci : Bioherbisida, Mortalitas, Gulma Babandotan, Alelopati
Pengaruh Penyakit Busuk Pangkal Batang (Ganoderma boninense) Terhadap Penurunan Populasi Kelapa Sawit (Elaeis guineensis Jacq.) Di PT Bakrie Sumatera Plantations Tbk Maharany, Rina; Wagino, Wagino; Guntoro, Guntoro; Syahputra, Rahmad
Agrium Vol 21 No 2 (2024)
Publisher : Faculty of Agriculture, Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/agrium.v21i2.16454

Abstract

Tujuan penelitian batang adalah untuk mengetahui pengaruh penyakit busuk terhadap populasi tanaman kelapa sawit. Penelitian dilakukan di Afdeling V Kebun Sei Baleh PT Bakrie Sumatera Plantations Tbk sejak Juli-September 2020. Desain deskriptif dengan pengumpulan data sekunder. Data yang diperoleh adalah data inventarisasi tanaman kelapa sawit yang terserang Ganoderma pada tahun 2015-2019. Faktor yang diperhatikan adalah informasi dasar mengenai perkebunan, penurunan populasi/kepadatan tanaman per hektar (SPH), rekapitulasi inventarisasi pohon, dan memutuskan untuk menjaga populasi tanaman. Kesimpulannya, serangan penyakit busuk batang merugikan populasi tanaman kelapa sawit di Perkebunan Afdeling V Sei Baleh PT. Bakrie Sumatera Plantations Tbk. Intensitas serangan Ganoderma ditentukan oleh beberapa faktor seperti kurang memadainya lahan budidaya, curah hujan yang tinggi, dan umur tanaman. Upaya perusahaan untuk mempertahankan jumlah tegakan utama melibatkan penimbunan.
Improving Digital Literacy to Prevent the Spread of Hoax News: Peningkatan Literasi Digital untuk Mencegah Penyebaran Berita Hoax Lisnawita, Lisnawita; Guntoro, Guntoro; Anggie Johar, Olivia; Costaner, Loneli
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 8 No. 1 (2024): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v8i1.17275

Abstract

Perkembangan teknologi, khususnya internet, membawa dampak signifikan dengan memungkinkan penyebaran berita hoaks. Literasi digital menjadi penting, terutama bagi siswa aktif dalam internet dan media sosial. Penelitian ini menggunakan metode ceramah, kuesioner, dan penjelasan untuk meningkatkan literasi digital siswa dalam mengenali dan mencegah penyebaran berita palsu. Studi literatur menyoroti dampak negatif berita hoaks, terutama terkait isu SARA dan politik, di media sosial seperti Twitter dan Instagram. Masalah utama literasi digital di sekolah adalah kurangnya pengetahuan tentang program literasi digital. Pengabdian ini bertujuan memberikan landasan untuk meningkatkan kesadaran siswa terhadap penyebaran berita hoaks di era digital. Hasil evaluasi menunjukkan peningkatan pengetahuan peserta sebesar 69.78%, membuktikan bahwa pendekatan interaktif dan penerapan literasi digital dapat memberikan manfaat positif.
INOVASI PENGERING MEKANIS KOPI BERBASIS ARDUINO UNO PADA WILAYAH PETANI KOPI KECAMATAN PEMATANG SIDAMANIK KABUPATEN SIMALUNGUN Dian, Rahmad; Mulyara, Budi; Siregar, Ratu Mutiara; Maisarah, Maisarah; Dibisono, Muhammad Yusuf; Guntoro, Guntoro
Jurnal Pengabdian Masyarakat: Pemberdayaan, Inovasi dan Perubahan Vol 4, No 6 (2024): JPM: Pemberdayaan, Inovasi dan Perubahan
Publisher : Penerbit Widina, Widina Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59818/jpm.v4i6.929

Abstract

Coffee as one of Indonesia's plantation commodities that has very good development potential, considering that coffee consumption in Indonesia is still very high. Currently, the problem that occurs in Simalungun Regency is the conventional drying technology which is at risk of inconsistency in quality and taste so it needs to be fixed and given a solution. The partner team is the Mitra Sejati Jaya Cooperative, where community service activities are carried out in the Sait Buttu area, Pematang Sidamanik District, Simalungun Regency, North Sumatra which is one of the locations for planting Arabica coffee. The purpose of this activity is to create intelligent IT-based appropriate tools and technologies, namely the ARDUINO UNO Smart Sweetener as a solution to the problems of partners and coffee processing community groups, then improve coffee farmers in supporting improvements in the quality of Arabica coffee taste through efficient, portable, and environmentally friendly smart drying technology. The solution that can be provided is in the form of community service activities carried out by a team of lecturers and students from the Institut Teknologi Sawit Indonesia (ITSI) in the form of extension methods, socialization and education related to the technical innovation of the tool called the ARDUINO UNO Smart Sweetener. This community service activity was carried out for ±60 days consisting of the preparation stage consisting of a survey of completeness and preparation, assembly and finishing and pre-test, socialization and education and implementation of community service activities by ITSI lecturers and students. The activity was attended by people who are members of the Coffee Farmers, the Mitra Sejati Jaya cooperative partner team, local residents, lecturers from ITSI and supported by ITSI students. The results of this community service activity were able to educate the community in the Innovation of Mechanical Coffee Dryers.ABSTRAKKopi sebagai salah satu komoditas Perkebunan Indonesia yang memiliki potensi pengembangan masih sangat baik, mengingat konsumsi kopi di Indonesia masih sangat tinggi. Saat ini, permasalahan yang terjadi di Kabupaten Simalungun ialah teknologi pengeringan yang masih konvensional yang beresiko terhadap inkonsistensi mutu dan cita rasa sehingga perlu dibenahi dan diberi solusi. Tim mitra adalah Koperasi Mitra Sejati Jaya, dimana kegiatan pengabdian masyarakat dilaksanakan di daerah Sait Buttu, Kecamatan Pematang Sidamanik, Kabupaten Simalungun, Sumatera Utara yang merupakan salah satu lokasi penanaman kopi arabika. Tujuan dari kegiatan ini dapat menciptakan alat dan teknologi tepat guna yang cerdas berbasis IT yaitu Pemanis Pintar ARDUINO UNO sebagai solusi atas permasalahan mitra dan kelompok masyarakat pengolah kopi, kemudian meningkatkan petani kopi dalam mendukung perbaikan mutu cita rasa kopi arabika melalui teknologi pengeringan pintar yang efisien, portable, dan ramah lingkungan. Solusi yang dapat diberikan yaitu berupa kegiatan pengabdian masyarakat yang dilakukan oleh tim dosen dan mahasiswa Institut Teknologi Sawit Indonesia (ITSI) berupa metode penyuluhan, sosialisasi dan edukasi terkait teknis inovasi alat yang disebut Pemanis Pintar ARDUINO UNO. Kegiatan pengabdian masyarakat ini dilaksanakan selama ±60 hari yang terdiri dari tahap persiapan yang terdiri atas survei kelengkapan dan preparasi, perakitan dan finishing serta pra uji, sosialisasi dan edukasi serta pelaksanaan kegiatan pengabdian kepada masyarakat oleh dosen serta mahasiswa ITSI. Kegiatan dihadiri oleh orang yang tergabung dalam Petani Kopi, Tim mitra koperasi Mitra Sejati Jaya, warga setempat, dosen dari ITSI serta didukung oleh mahasiswa ITSI. Hasil dari kegiatan pengabdian masyarakat ini mampu mengedukasi masyarakat dalam Inovasi Alat Pengering Mekanis Kopi.
Penerapan Data Mining Association Rule Menggunakan Algoritma FP-Growth Untuk Persediaan Sparepart Pada Bengkel Guntoro, Guntoro; Hutabarat, Charles Parmonangan
Jurnal Komtika (Komputasi dan Informatika) Vol 5 No 2 (2021)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v5i2.6251

Abstract

Many individuals are interested in starting a workshop. By responding to each customer's desires, the workshop company may continue to develop, and so the data mining technique can address this challenge. The FP-Growth algorithm is one of the methods that may be used to determine the stock availability of automotive spare components such as engine oil, spark plugs, oil filters, ac filters, batteries, tires, and so on. This research is divided into four stages: problem identification, data gathering, data processing, and data testing. Based on the results of the testing, AK (Battery), OM (Engine Oil), and BS (Spark plug) received support values of 33% and 80%, respectively. Furthermore, the BN (Ban) and KR (Kampas Bram) values were found with 33% support and 80% confidence. Furthermore, we obtain AK (Battery) and OM (Engine Oil) with 33% support and 80% confidence, and BN (Tires) and OM (Engine Oil) with 33% support and 80% confidence. OM (Engineering Oil), AK (Battery), and BS (Battery Storage) are the abbreviations for the terms OM (Engineering Oil), AK (Battery), and BS (Battery (Spark plug)).
PRO DAN KONTRA PENGGUNAAN AI PADA DUNIA PENDIDIKAN Zamsuri, Ahmad; Syafitri, Wenni; Guntoro, Guntoro; Waldelmi, Idel; Bimby, Novia Putri
Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Vol 5, No 2 (2025): Desember 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jpstm.v5i2.5414

Abstract

Abstract: The Community Service (PkM) activity aims to enhance the knowledge of teachers at MI AL FATTAAH regarding the utilization of Generative Artificial Intelligence (Gen-AI) in education. Currently, student assessment is still conducted conventionally, meaning the utilization of Gen-AI technology is not yet optimal. Non-involvement in this technological development could negatively impact the quality of education in the future. Through socialization and education activities, this PkM introduced the concepts, usage, and result analysis of Gen-AI in the educational context, highlighting the pros and cons of its implementation. Effectiveness assessment was conducted using pre-tests and post-tests with the Coefficient of Reproducibility (CR) and Coefficient of Scalability (CS). CR and CS results of 1 indicate that the knowledge transfer was effective and the activity was executed well. This PkM not only improved the teachers' understanding of AI but also has the potential to become a learning model for similar educational institutions.            Keywords: Gen-AI, Socialization, Utilization, Education  Abstrak: Kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan meningkatkan pengetahuan guru MI AL FATTAAH mengenai pemanfaatan Generative Artificial Intelligence (Gen-AI) dalam pendidikan. Selama ini, penilaian murid masih dilakukan secara konvensional, sehingga pemanfaatan teknologi Gen-AI belum optimal. Ketidakterlibatan dalam perkembangan teknologi ini dapat berdampak negatif terhadap kualitas pendidikan di masa depan. Melalui kegiatan sosialisasi dan edukasi, PkM ini memperkenalkan konsep, penggunaan, serta analisis hasil Gen-AI dalam konteks pendidikan, dengan menyoroti aspek pro dan kontra penerapannya. Penilaian efektivitas dilakukan melalui pre-test dan post-test menggunakan koefisien Reprodusibilitas (CR) dan Skalabilitas (CS). Hasil CR dan CS sebesar 1 menunjukkan bahwa transfer pengetahuan berlangsung efektif dan kegiatan terlaksana dengan baik. PkM ini tidak hanya meningkatkan pemahaman guru terhadap AI, tetapi juga berpotensi menjadi model pembelajaran bagi lembaga pendidikan sejenis. Kata kunci: Gen-AI, Sosialisasi, Pemanfaatan, Edukasi
Complex Word Identification in Indonesian Children’s Texts: An IndoBERT Baseline and Error Analysis Lisnawita, Lisnawita; Bakar, Juhaida Abu; Rasli, Ruziana Mohamad; Costaner, Loneli; Guntoro, Guntoro
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 6 (2025): JUTIF Volume 6, Number 6, Desember 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.5501

Abstract

Complex Word Identification (CWI) is a crucial step for building text simplification systems, especially for Indonesian children’s reading materials where unfamiliar vocabulary can hinder comprehension. This study formulates token-level CWI for Indonesian children’s texts and establishes two baselines:  an interpretable rule-based model using linguistic features e.g., length, syllable heuristics, and affix patterns, and an IndoBERT model fine-tuned for token classification. This study construct and annotate a children’s text corpus and evaluate both approaches using standard classification metrics. On the test set (22.584 tokens), IndoBERT achieves an F1-score of 0.9972 for the CWI class, substantially outperforming the rule-based baseline (F1 = 0.8607). The IndoBERT system makes only 39 errors (23 false positives and 16 false negatives), indicating near-perfect performance under the evaluated setting. Furthermore, this study provides an error analysis to highlight remaining failure patterns and borderline cases that are difficult even for contextual models. The resulting benchmark and findings contribute to Informatics/Computer Science by providing a strong baseline and analysis for educational NLP in a low-resource language setting, supporting the development of Indonesian child-oriented NLP resources and downstream text simplification tools.
Co-Authors Abdullah Abdullah Ahmad Zamsuri, Ahmad Alfarasy, Febrizal Ali, Helmiyati Abdullah Anto Ariyanto Antonius Fernando AYU RAHMAWATI Bakar, Juhaida Abu Bayu Febriadi, Bayu Bimby, Novia Putri Budia Misri Budianto Hamuddin Budiastuti, Susanti Costaner, Loneli Costaner David Setiawan David Setiawan, David Djunaedi Djunaedi Elfrida Ratnawati Fadhillah, Resty Fenty Widya Fitria, Poppy Hamzah Eteruddin Hamzah Hamzah Handoko, Habib Hari Gunawan Herni Utami Rahmawati Hutabarat, Charles Parmonangan idel waldelmi, idel Ikhwan, Ferdy Iqbal Bukhori Istiatin, Istiatin Jeni Wardi Johar, Olivia Anggie Lasri Nijal Latifa Siswati Lisnawita Lisnawita Loneli Costaner Lubis, Ahmad Fahmi Alhafiz Maisarah Maisarah Maisarah, Maisarah Makhrani Sari Ginting Mariza Devega Maulina, Viny Meilano, Dimas Mhd. Arief Hasan, Mhd. Arief Monika, Winda Monika Muhamad Sadar, Muhamad Muhammad Fikri Muhammad Iqbal Muhammad Yusuf Dibisono Mulyara, Budi Musfawati Nurhamin Nurhamin Nurholidan Siregar Nurholidan Siregar Nurul Hasanah Ovie, Ingrid Pandu Pratama Putra, Pandu Pratama Rahmad Dian Rahmad Syah Putra Rasli, Ruziana Mohamad Ratu Mutiara Siregar Rina Maharany Ririn Sari Wati Rizky Octa Putri Charin Roosmawati, Febriana SANTOSO SANTOSO Sapiri, Muhtar Saputra, Septian Tri Sari, Makhrani Sasi Utami Simorangkir, Jansihar Sinaga, Anisyah Sri Utaminingsih Sudarwati Sudarwati Suhardi Suhardi Sunaryanto, Hadi Sutejo Sutejo Syafitri (Scopus ID: 57200085316), Wenni Taufik, Kemal Tohir, Kurnainy Wagino Wenni Syafitri, Wenni Wenny Syafitri Wibisono, Moh Arief Aryo Yuhelmi Yuhelmi Yusuf Dibisono, Mhd zamzami Zamzami, Zamzami Zulham Effendi