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All Journal CESS (Journal of Computer Engineering, System and Science) Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi JMM (Jurnal Masyarakat Mandiri) JURIKOM (Jurnal Riset Komputer) JTP - Jurnal Teknologi Pendidikan Kasuari: Physics Education Journal (KPEJ) Bubungan Tinggi: Jurnal Pengabdian Masyarakat Jurnal Abdimas Prakasa Dakara Malcom: Indonesian Journal of Machine Learning and Computer Science Computing and Education Technology Journal kawanad Jurnal Sistem Informasi dan Teknologi Informasi
Saputra, Novan Alkaf Bahraini
Pendidikan Komputer, Universitas Lambung Mangkurat
Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Physics Social Sciences Other

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Implementasi Algoritma K-means untuk Prediksi Potensi Waktu Kelulusan Mahasiswa Berdasarkan Hasil Akademik Di Jurusan Pendidikan MIPA FKIP ULM Muhammad Ibnu Alkautsar; Harja Santana Purba; Novan Alkaf Bahraini Saputra; Nuruddin Wiranda; Rizky Pamuji
Computing and Education Technology Journal Vol 4, No 1 (2024): APRIL
Publisher : Pendidikan Komputer FKIP Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/cetj.v4i1.12328

Abstract

Manajemen pendidikan tinggi yang kompleks memerlukan inovasi untuk meningkatkan efisiensi waktu kelulusan mahasiswa. Permasalahan yang ada pada Jurusan Pendidikan MIPA FKIP ULM dalam memahami keterlambatan waktu kelulusan mahasiswa adalah belum adanya sistem dan metode yang efisien dalam memecahkan masalah keterlambatan ini. Sehingga dalam penelitian ini metode machine learning dengan algoritma klastering K-Means diusulkan untuk memecahkan masalah keterlambatan. Jenis data yang digunakan dalam penelitian adalah IPK dan SKS mahasiswa angkatan 2016 sampai 2019 dari semester 1 sampai 5. Dalam penggunaannya data tersebut harus di preprocessing terlebih dahulu agar, bisa diinputkan ke dalam algoritma K-Means. Output yang dihasilkan adalah klaster mahasiswa berdasarkan hasil akademik, dengan label klaster Tepat Waktu Cumlaude, Tepat Waktu Sangat Memuaskan, Tidak Tepat Waktu Sangat Memuaskan, dan Tidak Tepat Waktu Memuaskan. Dalam hasil evaluasi algoritmanya, K-means dinyatakan tidak dapat memecahkan permasalahan keterlambatan waktu kelulusan mahasiswa. Evaluasi dilakukan dengan menggunakan metode Davies-Bouldien Index yang menghasilkan skor sebesar 0,67 (tidak memuaskan). Lalu Adjusted Rand Index sebesar 0,17 (buruk). Namun dengan menggunakan metode Calinski-Harabasz Index, K-means memperoleh skor sebesar 338,28 yang berarti bahwa K-means cocok digunakan untuk klastering data hasil akademik. Hasil penelitian memberikan informasi tentang distibusi jumlah data mahasiswa, tren Indeks Prestasi Kumulatif Mahasiswa, daftar mahasiswa setiap klaster potensi waktu kelulusannya.
Utilizing Electromagnetic Radiation in Remote Sensing for Vegetation Health Analysis Using NDVI Approach with Sentinel-2 Imagery Pamuji, Rizky; Mahardika, Andi Ichsan; Wiranda, Nuruddin; Saputra, Novan Alkaf Bahraini; Adini, Muhammad Hifdzi; Pramatasari, Delsika
Kasuari: Physics Education Journal (KPEJ) Vol 6, No 2 (2023): December 2023
Publisher : Universitas Papua, Jurusan Pendidikan Fisika FKIP Unipa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37891/kpej.v6i2.486

Abstract

The process of utilizing electromagnetic radiation from the radiometric values (Near-Infrared/NIR) and RED in the Normalized Difference Vegetation Index (NDVI) on Sentinel-2 imagery involves measuring light reflection at specific wavelengths reflected by vegetation. NDVI is computed by taking the difference between NIR and RED reflectance, then dividing it by their sum. In-depth analysis of electromagnetic wave interaction and plant spectral characteristics, such as NIR light reflection in healthy leaves, enables mapping vegetation health levels. The research aims to process image data and create a model visualizing vegetation health in the Sentinel-2 research area. Across the total area of 601,971,281.26 m2, 30.37% is healthy vegetation, 12.52% is moderate, and 53.33% is low or unhealthy. The least healthy area has an NDVI of -0.2006, while the healthiest area has a value of 0.6043.
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. 
Developing High School Mathematics Teacher Competence Through Computational Thinking Integration Workshop Sari, Delsika Pramata; Pamuji, Rizky; Purba, Harja Santana; Adini, Muhammad Hifdzi; Saputra, Novan Alkaf Bahraini; Sukmawati, R Ati; Wiranda, Nuruddin; Mahardika, Andi Ichsan; Alizhafya, Nova Nor; Ardhabilly, Muchammad
Bubungan Tinggi: Jurnal Pengabdian Masyarakat Vol 7, No 2 (2025)
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/btjpm.v7i2.13561

Abstract

This community service (CS) aimed to develop the competence of high school mathematics teachers through workshops integrating computational thinking in Barito Kuala Regency. The implementation method of this consisted of preparation, activity implementation and mentoring, and evaluation stages. In the preparation stage, a computational thinking workshop module was developed for mathematics material and distributed to participants during the training activities. Community service with a Participatory Action Research (PAR) approach is oriented towards community empowerment so the community can become an actor of change. Community service activities facilitate bridging mathematics teachers to develop CT in this case. This CS activity was conducted over two face-to-face meetings from August to September 2024. This CS activity was implemented in the Global Islamic Boarding School (GIBS) computer laboratory in Barito Kuala Regency. The participants who attended were 54 high school mathematics teachers from the region. The evaluation instrument used for data collection was a questionnaire filled out by participants via Google Forms. After the workshop, The evaluation showed that most teachers understood that CT was related to problem-solving through a systematic, logical, and algorithm-based approach. The high average score indicated that the training provided successfully introduced and effectively explained the CT concept. The involvement and active participation of teachers were very evident in this activity. Furthermore, an interesting finding was that teachers expressed 89.8% agreement that computational thinking needed to be taught to students. This was because CT could help students think critically and logically and build mental resilience, thereby increasing their readiness for the world of work in the future.
Analisis Kualitas Perangkat Lunak SIBISA FKIP ULM menggunakan Komponen ISO 9126 Hasanah, Julita; Lestari, Putri Tari; Husna, Risalatul; Wiranda, Nuruddin; Saputra, Novan Alkhaf Bahraini
e-Jurnal JUSITI (Jurnal Sistem Informasi dan Teknologi Informasi) Vol. 14 No. 1 (2025): e-Jurnal JUSITI
Publisher : Universitas Dipa Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36774/jusiti.v14i1.1710

Abstract

Pengelolaan administrasi dan manajemen kegiatan Merdeka Belajar Kampus Merdeka (MBKM) di FKIP Universitas Lambung Mangkurat menghadapi kendala berupa lambatnya aliran informasi dan minimnya sistem digital terintegrasi yang mendukung kelancaran proses tersebut. Untuk mengatasi hal ini, dikembangkan SIBISA, sebuah platform website yang dirancang untuk mempercepat, mempermudah, dan memusatkan pengelolaan administrasi MBKM. Penelitian ini menilai kualitas perangkat lunak SIBISA menggunakan enam atribut dari standar ISO 9126, yaitu fungsionalitas, kemudahan penggunaan, reliabilitas, portabilitas, dan efisiensi. Metode yang digunakan adalah deskriptif kuantitatif dengan pengumpulan data melalui wawancara, observasi bersama tim ICT FKIP ULM, dan kuesioner kepada pengguna, khususnya mahasiswa angkatan 2020 dari berbagai program studi. Hasil evaluasi menunjukkan bahwa SIBISA memperoleh skor 1183 dari rentang 1126-1500, yang mengindikasikan kualitas “Sangat Baik”. Temuan ini menegaskan efektivitas SIBISA dalam mendukung administrasi MBKM sekaligus memberikan kontribusi baru dalam pengembangan sistem informasi pendidikan tinggi yang handal dan efisien.
Penerapan Hyperparameter Tuning pada Model Klasifikasi untuk Prediksi Risiko Penyakit Jantung : Implementation of Hyperparameter Tuning for Classification Models in Heart Disease Risk Prediction Putri, Siti Kania Nur Alya; Jumiatin, Indah; Sulistia, Indri; Saputra, Novan Alkaf Bahraini; Wiranda, Nuruddin
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 5 No. 4 (2025): MALCOM October 2025
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v5i4.2138

Abstract

Penyakit jantung adalah penyebab utama kematian di seluruh dunia, sehingga penting untuk melakukan deteksi dini secara tepat untuk menurunkan angka kematian. Tantangan utama dalam penelitian ini adalah bagaimana cara meningkatkan efektivitas model klasifikasi dalam mendeteksi penyakit jantung. Tujuan dari penelitian ini adalah untuk membandingkan kinerja beberapa algoritma klasifikasi dan menilai dampak hyperparameter tuning terhadap peningkatan akurasi prediksi. Metode yang digunakan mencakup penerapan algoritma Logistic Regression, Decision Tree, Support Vector Machine (SVM), dan K-Nearest Neighbor (K-NN) pada dataset Cleveland Clinic Heart Disease yang diambil dari Kaggle. Proses hyperparameter tuning dilaksanakan dengan menggunakan gridsearchCV dan randomizedsearchCV bersama dengan cross-validation. Temuan penelitian menunjukkan bahwa setelah dilakukan tuning, logistic regression, K-NN, dan SVM mencapai akurasi tertinggi yang sama, yaitu 84%. Decision tree berada di posisi terendah dengan akurasi 80%. Selain itu, nilai precision, recall, dan F1-score juga meningkat, terutama pada logistic regression dan K-NN yang menunjukkan hasil paling seimbang. Hasil ini membuktikan bahwa hyperparameter tuning sangat membantu dalam meningkatkan kinerja model klasifikasi dan mendukung penggunaan machine learning untuk deteksi dini penyakit jantung secara lebih efektif.
Pelatihan Pengembangan Media Pembelajaran Digital E-book Menggunakan Flipbook PDF Professional bagi Guru di Kota Banjarmasin Mahardika, Andi Ichsan; Saputra, Novan Alkaf Bahraini; Muda, Amirul Azis Ansari; Riduan, Ahmad; Lazuardi, Nana Sophia; Nurmalinda
Kawanad : Jurnal Pengabdian kepada Masyarakat Vol. 1 No. 2 (2022): October
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/kjpkm.v1i2.59

Abstract

Currently, teaching materials are needed that can be accessed offline and online to make it easier for students and teachers such as e-books.  e-books can be further developed with interactive features. The results of observations on a number of teachers show that teachers have not been able to create digital learning media for them to use in learning. This community service aims to improve the ability of teachers to develop digital learning media using the Flipbook PDF Professional software which will be hosted on Google Drive. This activity was carried out at the Madani Islamic High School, Banjarmasin City. The methods used in the training include stages (1) planning, (2) implementation, and (3) evaluation of activities. The results of the implementation and evaluation of activities show that training on the development of digital learning media using flipbook PDF Professional software for teachers in the city of Banjarmasin has had a positive impact on participants in the form of increasing their ability to develop learning media digitally.  The positive response to the implementation of the training shows that training on the development of digital learning media into e-books is considered useful for use in the learning process in the digital era at this time.
Implementasi Algoritma Random Forest dengan Variasi Parameter n_estimators untuk Klasifikasi Penyakit Hati Ersa Muliani; Asmarani Ayudhia; Maulidya; Novan Alkaf Bahraini Saputra; Nuruddin Wiranda
CESS (Journal of Computer Engineering, System and Science) Vol. 10 No. 2 (2025): Juli 2025
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v10i2.66740

Abstract

Penyakit hati merupakan gangguan serius yang dapat menurunkan kualitas hidup dan menimbulkan komplikasi jika tidak terdeteksi sejak dini. Penelitian ini mengevaluasi penerapan algoritma Random Forest untuk klasifikasi penyakit hati menggunakan dataset Indian Liver Patient Records. Algoritma ini dipilih karena mampu menangani data kompleks dan mengurangi overfitting. Pengujian dilakukan dengan variasi parameter n_estimators (100, 200, 300) serta teknik 10-fold cross-validation. Evaluasi model mencakup akurasi, presisi, dan recall. Penelitian ini juga menerapkan teknik SMOTE untuk mengatasi ketidakseimbangan kelas dalam data, yang berkontribusi terhadap peningkatan performa model. Dibandingkan dengan studi sebelumnya yang menggunakan Random Forest tanpa tuning parameter, penelitian ini menunjukkan peningkatan akurasi sebesar 7%. Hasil terbaik diperoleh pada n_estimators = 200 dengan akurasi 80,17%, presisi 80,28%, dan recall 80,17%. Temuan ini menunjukkan bahwa algoritma Random Forest dengan parameter yang dioptimalkan efektif dalam mendeteksi penyakit hati dan dapat mendukung pengambilan keputusan medis secara lebih akurat.
PENJAMINAN MUTU WEBSITE E-OFFICE FKIP ULM MENGGUNAKAN METODE MCCALL Nurhaliza, Nurhaliza; Maulida, Fatimah Azzahra; Parasanti, Ana Maria; Saputra, Novan Alkaf Bahraini; Wiranda, Nuruddin
Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi Vol 10, No 1 (2024): Februari
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/rmsi.v10i1.28329

Abstract

Perkembangan teknologi informasi di perguruan tinggi menjadi krusial dalam meningkatkan efisiensi proses administratif dan akademis. Di tengah dinamika tersebut, sistem e-office telah menjadi solusi yang diterapkan di FKIP ULM. Penelitian ini mengusung tujuan utama untuk melakukan evaluasi mendalam terhadap kualitas e-office FKIP ULM dengan memanfaatkan metode McCall's Product Operation Framework. Proses evaluasi dilakukan melalui distribusi kuesioner skala Likert kepada responden, yang diminta memberikan penilaian pada lima aspek utama, yakni Correctness, Reliability, Efficiency, Integrity, dan Usability. Hasil penelitian mengindikasikan bahwa seluruh aspek Product Operation berada pada kategori cukup baik, dengan nilai correctness 43.6%, reliability 47.2%, usability 55.6%, integrity 59.2%, dan efficiency 56.4%. Meskipun demikian, secara keseluruhan, nilai kualitas sistem mencapai 42%, menunjukkan terdapat ruang besar untuk peningkatan. Penelitian ini memberikan wawasan mendalam terkait kinerja e-office FKIP ULM dan mendorong perbaikan yang terarah guna meningkatkan efektivitas serta responsivitas sistem terhadap kebutuhan pengguna, membuka peluang untuk pengembangan lebih lanjut dalam pemanfaatan teknologi informasi di konteks akademis.
Development of Wetland Contextual Interactive Learning Media with Student Activity Monitoring Harja Santana Purba; Sari, Delsika Pramata; Novan Alkaf Bahraini Saputra; Syahril Hanla Azis; R. Ati Sukmawati
JTP - Jurnal Teknologi Pendidikan Vol. 25 No. 2 (2023): Jurnal Teknologi Pendidikan
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat, Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jtp.v25i2.37498

Abstract

The purpose of this study was to develop a web-based interactive learning multimedia for statistics material for 8th grade. The material was presented with a contextual approach so that students could connect material concepts with real-life problems to instill an understanding of the material. Nothing that excels in this learning media was monitoring student activities while studying, such as student progress in learning the material, activities that have been and have not been carried out in the learning series, and monitoring of keyboard and mouse activities. Learning media was developed using the Research and Development (R&D) method with the ADDIE model (Analysis, Design, Development, Evaluation). The learning media functionality was tested using the Black Box method. Based on the results of testing all features, it could be concluded that the developed learning media application can function well with very high validity. Where the results of media validation were 90.3% and material validation was 87.5%. Furthermore, the developed interactive learning media is suggested to be able to display monitoring of activities that have been done by students in their respective accounts.
Co-Authors Abdul Rasyied Adini, Muhammad Hifdzi Ahmad Riduan AHMAD RIDUAN Alizhafya, Nova Nor Aminuddin Prahatama Putra Amirul Azis Ansari Muda Andi Ichsan Mahardika Ardhabilly, Muchammad Asmarani Ayudhia Atiek Winarti Delsika Pramata Sari Dewi Alfianti Dewi Dewantara, Dewi Emma Rosana Febriyanti Ersa Muliani Esty Hairina Hasanah, Julita Husna, Risalatul Jamaludin Jamaludin Jumiatin, Indah Khair, Muhammad Sa'duddien Lazuardi, Nana Sophia Lestari, Putri Tari M. Andry Gunawan Maulida, Fatimah Azzahra MAULIDYA Mitra Pramita Mitra Pramita Muda, Amirul Azis Ansari Muhammad Agi Sahriza Daan Nur Muhammad Ibnu Alkautsar Muhammad Iman Rizqullah Mustika Wati, Mustika Nabila Najmi Nana Sophia Lazuardi Nana Sophia Luzuardi Noor Fajriah, Noor Nurhaliza, Nurhaliza Nurmalinda Nurmalinda Nurmalinda Nurmalinda Nuruddin Wiranda Nuruddin Wiranda Pamuji, Rizky Parasanti, Ana Maria Pramatasari, Delsika Putri, Siti Kania Nur Alya R. Ati Sukmawati R. Ati Sukmawati Rizky Pamuji Rusmansyah Rusmansyah, Rusmansyah Santana Purba, Harja Sugeng Santoso Sukmawati, R Ati Sulistia, Indri Syahmani Syahmani Syahril Hanla Azis Wiranda, Nurruddin Wiranda, Nuruddin Yasmine Khairunnisa Yogie Prayoga Yogo Dwi Prasetyo