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All Journal JURNAL SISTEM INFORMASI BISNIS Jurnal Sains dan Teknologi E-Dimas: Jurnal Pengabdian kepada Masyarakat Jurnal Ilmiah FIFO JURNAL ILMIAH GEOMATIKA JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Pilar Nusa Mandiri Tekinfo | Scientific Journal of Industrial and Information Engineering Indonesian Journal of Artificial Intelligence and Data Mining JURNAL REKAYASA TEKNOLOGI INFORMASI ILKOM Jurnal Ilmiah J-SAKTI (Jurnal Sains Komputer dan Informatika) Building of Informatics, Technology and Science Jurnal Abdi Insani REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Jurnal Sistem Komputer dan Informatika (JSON) Madani : Indonesian Journal of Civil Society Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Journal of System and Computer Engineering Bulletin of Computer Science Research GANESHA: Jurnal Pengabdian Masyarakat PROFICIO: Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat (ABDIRA) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Informatika, Komputer dan Bisnis (JIKOBIS) Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Journal of Applied Agricultural Science and Technology Malcom: Indonesian Journal of Machine Learning and Computer Science International Journal of Economics and Management Research Journal of Digital Law and Policy Bulletin of Informatics and Data Science Science Information System and Technology West Science Nature and Technology Journal of Information System and Application Development International Journal of Economics and Management Research INTERNATIONAL JOURNAL OF SOCIETY REVIEWS (INJOSER)
Moh. Erkamim
Politeknik Negeri Bali
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences 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 Mathematics Nursing Public Health Social Sciences Other

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Klasifikasi Kepribadian Introvert dan Extrovert Menggunakan Random Forest, Naïve Bayes, dan K-Nearest Neighbor Erkamim, Moh.; Nurhayati, Nurhayati; Heriyani, Nofitri; Riyanto, Umbar
Jurnal Ilmiah FIFO Vol 17, No 2 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/fifo.2025.v17i2.009

Abstract

Kepribadian merupakan faktor penting yang memengaruhi cara individu berpikir, berperilaku, dan berinteraksi dalam kehidupan sosial. Salah satu dimensi utama dalam model Big Five Personality Traits adalah ekstraversi, yang merepresentasikan kecenderungan seseorang untuk bersosialisasi dan berinteraksi aktif dengan lingkungannya. Penelitian ini bertujuan mengembangkan model klasifikasi kepribadian introvert dan extrovert menggunakan tiga algoritma machine learning, yaitu Random Forest, Naïve Bayes, dan K-Nearest Neighbor (KNN). Dataset yang digunakan berjumlah 2.900 entri dengan delapan atribut perilaku sosial seperti waktu yang dihabiskan sendirian, frekuensi menghadiri acara sosial, ukuran lingkaran pertemanan, dan tingkat aktivitas di media sosial. Proses penelitian meliputi pembersihan data, transformasi variabel kategorikal, pembagian data secara stratifikasi (80:20), pembangunan model, serta evaluasi menggunakan metrik akurasi, precision, recall, F1-score, dan ROC-AUC. Hasil pengujian menunjukkan bahwa model KNN dengan k = 11 memberikan performa terbaik dengan akurasi 92,59% dan nilai ROC-AUC 0,9494, diikuti oleh Naïve Bayes dengan akurasi 92,24% (ROC-AUC 0,8988) dan Random Forest dengan akurasi 90,86% (ROC-AUC 0,9480). Kontribusi utama penelitian ini adalah memberikan analisis komparatif terhadap tiga algoritma yang mewakili paradigma pembelajaran berbeda, yaitu probabilistik, berbasis jarak, dan ensemble pohon keputusan, dalam konteks klasifikasi kepribadian berdasarkan dimensi ekstraversi. Hasil penelitian ini dapat menjadi dasar bagi pengembangan sistem prediksi kepribadian berbasis perilaku sosial yang efisien dan adaptif.
MENINGKATKAN KEBERLANJUTAN PERTANIAN ORGANIK MELALUI PELATIHAN SEKOLAH LAPANG TANI DI KABUPATEN KARANGANYAR, INDONESIA Prasetyo, Agung; Suswadi; Erkamim, Moh.; Aryani, Alina Dian; Fadhilah, Muhamad Nur
Jurnal Abdi Insani Vol 12 No 12 (2025): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v12i12.3008

Abstract

The use of chemical inputs in agriculture has generated negative impacts on the environment, human health, and the sustainability of food systems, thereby encouraging the development of environmentally friendly and organic farming. Karanganyar Regency, through regulations and the establishment of the Karanganyar Organic Farmers Association (APOKAT), has demonstrated strong commitment to organic farming development. However, practices in the field still face challenges, particularly in production aspects, where some farmers have not consistently implemented Standard Operating Procedures (GAP-GHP). This condition poses risks of declining productivity and the sustainability of organic farming areas. To address these issues, a community service program was carried out from August to October 2024 in Mojogedang District, Karanganyar. The methods included GAP and GHP socialization, farmer field schools, demonstration plot management, training on organic input production, and focus group discussions (FGD). The participants consisted of 25 pioneer farmers representing groups under APOKAT. Farmers’ knowledge was evaluated through pre-tests and post-tests using a Likert scale. The results showed a significant improvement in farmers’ knowledge, with the average score increasing from 3.13 to 4.57. The improvement covered all indicators, particularly land preparation and crop maintenance. Furthermore, correlation analysis indicated a significant positive relationship between increased farmers’ knowledge and the sustainability of organic farming, with the environmental dimension being the highest. In conclusion, this program not only enhanced farmers’ capacity in implementing GAP and GHP for organic rice farming but also strengthened the sustainability of organic agriculture in Karanganyar. These results may serve as a best practice model for other regions in developing sustainable organic farming.  
Model Ensemble Stacking untuk Klasifikasi Big Data Stunting Berbasis XGBoost dan MLP Khairul Hawani Rambe; Frans Mikael Sinaga; Leni Anggraini Susanti; Moh. Erkamim
REMIK: Riset dan E-Jurnal Manajemen Informatika Komputer Vol. 10 No. 1 (2026): Volume 10 Nomor 1 Januari 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/remik.v10i1.15903

Abstract

Klasifikasi status gizi balita berbasis data besar memerlukan pendekatan machine learning yang mampu menangani kompleksitas dan heterogenitas data secara akurat dan stabil. Populasi penelitian mencakup seluruh data rekam medis balita periode 2023–2024 yang diperoleh dari RS Mitra Medika Tanjung Mulia, dengan teknik pengambilan sampel menggunakan total sampling terhadap dataset yang tersedia. Sampel berupa data antropometri balita yang meliputi jenis kelamin, usia, berat badan, tinggi atau panjang badan, nilai Z-score, serta label status gizi. Metode yang digunakan adalah pendekatan kuantitatif berbasis machine learning dengan tahapan pra-pemrosesan, pembangunan model, dan evaluasi performa. Pra-pemrosesan mencakup pembersihan data, transformasi variabel kategorikal, normalisasi fitur numerik, serta pembagian data latih dan data uji dengan rasio 80:20. Model yang dikembangkan menggunakan pendekatan ensemble stacking dengan XGBoost sebagai base learner dan Multi-Layer Perceptron (MLP) sebagai meta learner. Evaluasi kinerja model dilakukan menggunakan confusion matrix, precision, recall, F1-score, dan akurasi. Hasil pengujian menunjukkan bahwa model stacking mencapai akurasi sebesar 99,64% dengan jumlah kesalahan prediksi yang sangat rendah serta nilai precision, recall, dan F1-score yang seimbang pada setiap kelas. Temuan ini menunjukkan bahwa integrasi algoritma boosting dan neural network mampu meningkatkan stabilitas dan kemampuan generalisasi model. Dengan demikian, pendekatan stacking XGBoost–MLP efektif dalam klasifikasi status gizi balita dan berpotensi diterapkan sebagai sistem pendukung keputusan deteksi dini masalah gizi berbasis big data.
Implementasi Dempster-Shafer Theory Sebagai Mesin Inferensi Pada Sistem Pakar Diagnosa Penyakit Cerebral Palsy Moh. Erkamim; Mursalim Tonggiroh; Novi Yona Sidratul Munti; Yuri Rahmanto
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 2 (2023): Desember 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i2.6940

Abstract

Early diagnosis and appropriate intervention are very important to minimize the long-term impact of Cerebral Palsy in children. Currently, the diagnosis of Cerebral Palsy in children is often based on clinical observations, developmental tests, and brain imaging. It requires medical knowledge and careful observation by an experienced health professional, which is often difficult to access in many areas. For this reason, early diagnosis by parents is very important for taking action against children suffering from Cerebral Palsy. This research aims to develop an expert system that can diagnose Cerebral Palsy in children using the Dempster-Shafer Theory algorithm as an inference engine to make it easier to diagnose and produce the right diagnosis. The Dempster-Shafer Theory approach works by calculating the level of confidence or belief in a hypothesis or certain event based on existing evidence. An expert system built on a website has the ability to make diagnoses based on symptoms and display diagnosis results, definitions of the type of Cerebral Palsy disease in children, as well as actions or methods of treating it. Based on the test results, the accuracy level obtained was a value of 90% and was classified as "Good" criteria.
IMPLEMENTATION OF SMART CITY APPLICATION IN SUSTAINABLE TRANSPORT SYSTEMS: PROSPECTS AND DEVELOPMENT OF SMARTCITY IN INDONESIA Danarti Karsono; Muhammad Rizal Fernandita Pamungkas, Moh. Erkamim, A. Bamban Yuuwono
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS Vol. 1 No. 11 (2024): INTERNATIONAL JOURNAL OF SOCIETY REVIEWS (INJOSER)
Publisher : Adisam Publisher

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

Abstract

The study aims to discuss the prospects and development of the Smart City concept in sustainable transportation systems in Indonesia. The study assesses the various challenges and opportunities emerging from the integration of information and communication technology into existing transport infrastructure. Through an in-depth literature exploration, the research identifies key factors that influence the implementation of Smart Cities and explores strategies that can accelerate the realization of efficient, inclusive, and sustainable smart transport. Research results show that the implementation of Smart Cities in Indonesia is still in its early stages, but has great potential due to the demands of rapid urbanization and development. The Smart City concept is expected to support reducing congestion, improving energy efficiency, and reducing greenhouse gas emissions. However, the research also reveals a number of major obstacles, including the need for massive investment in infrastructure, cyber security, and the digital gap between regions.
Co-Authors A. Bamban Yuuwono Adi Candra, Adi Adi Nugroho Susanto Putro Adi Nur Khofid Agung Prasetyo Aini, Delvi Nur Alfry Aristo Jansen Sinlae Ali Zainal Abidin Alaydrus Allesandro Umbu Balla Rundi Anindya Putri Tamara Argia Putri Ramadhani Arisantoso Arisantoso Aryani, Alina Dian Asih Lestari, Asih Batubara, Ana Uzla Cantikasari, Yuliana Danarti Karsono Daniarti, Yeni Destriana, Rachmat Dwi Susilo Utami Edhi Prayitno, Edhi Egidius Fkun Eri Mardiani Erlin Dolphina Erni Widarti Fadhilah, Muhamad Nur Farid Fitriyad Fatihah, Syalaysa Imani Fatkhul Imron Faustina Yuniastuti Faustina Yuniastuti Fitriyad, Farid Fitriyadi, Farid Fitriyadi, Farid Frans Mikael Sinaga Handayani, Nurdiana Hanifah Nurul Muthmainah Heriyani, Nofitri Hidayati , Diyah Nur I Gede Iwan Sudipa I Wayan Karang Utama Imam Setyo Nugroho Indriastiningsih, Erna Irfan AP Joko Sulistyono Judijanto, Loso Khairul Hawani Rambe Khofid, Adi Nur Khoirun Nisa Legito . legito, Legito Leni Anggraini Susanti Lilik Suhery, Lilik Loso Judijanto Maharani, Annissa Tiara Mohammad Imam Shalahudin Muhammad Muharrom Muhammad Rizal Fernandita Pamungkas Muhammad Rizal Fernandita Pamungkas Muhammad Syarif Hartawan Muhammad Zidni Subarkah Mulyadi Mulyadi Mursalim Tonggiroh Mustakim Mustakim Naylah Dzakiah Ngakan Kompiang Adi Suardana Ni Kadek Sri Devi Putri Swambini Ni Kadek Wintan Purnama Sari Ni Ketut Tri Srilaksmi Ni Komang Triana Andini Ni Made Ayu Nadia Putri Damayanti Nindi Permata Riau Nirma Ceisa Santi Nofri Yudi Arifin Novi Yona Sidratul Munti Nugraha, Tegar Wijanarko Surya Nurhayati Nurhayati Pamungkas, M Rizal Fernandita Pamungkas, Muh. Rizal F. Pamungkas, Muhammad Rizal Fernandita Rahmat Catur Haryadi Rahmat Catur Haryadi Ramadhani, Argia Putri Rifky Lana Rahardian Riyanto, Umbar Rundi, Allesandro U.B. Rundi, Allesandro Umbu Balla Said Thaufik Rizaldi Saifuddin Saifuddin Saifuddin Saifuddin Sandra Dewi Saraswati Sapto Priyadi Sepriano Sepriano Septarini, Ri Sabti Setyawati, Nisrina Yulia Shabrina Hapsari Shalahudin, Mohammad Imam Siti Nurhayati Sitti Rachmawati Soares, Teotino Gomes Subarkah, Muhammad Zidni Sulhatun Sulhatun Sulistiyawati, Anggun Supartini Supartini Suswadi Syahputra, Ridwan Angga Tami, Nanda Putri Tanniewa, Adam M Tino Feri Efendi Tonggiroh, Mursalim Tyas SOEMARAH KURNIA DEWI Tyas Soemarah Kurnia Dewi Utama, I Wayan Karang Vera Wati Wardani, Qurrotul Ain Putri Kusuma Wartono Wartono Wartono Wartono Wartono, W Wati, Vera Winalia Agwil Wiyono wiyono Yanuardi Yanuardi Yuri Rahmanto Zandra Dwanita Widodo Zandra Dwanita Widodo Zilrahmi, Zilrahmi