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All Journal Jurnal Informatika JUITA : Jurnal Informatika Scientific Journal of Informatics Jurnal SOLMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL ILMIAH INFORMATIKA SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JURNAL TEKNOLOGI DAN OPEN SOURCE IJISTECH (International Journal Of Information System & Technology) JURIKOM (Jurnal Riset Komputer) Minda Baharu Building of Informatics, Technology and Science JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) IJISTECH Journal of Information System and Technology (JOINT) International Journal of Research in Vocational Studies (IJRVOCAS) JUPADAI : Jurnal Pengabdian Kepada Masyarakat Jurnal Siteba Jurnal Pengabdian Barelang Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK) IESM
Alvendo Wahyu Aranski
Institut Teknologi Batam, Indonesia
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering 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 Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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ANALISIS FAKTOR DESAIN TATA KELOLA TI BERDASARKAN COBIT 2019 PADA PERUSAHAAN RANGER FIGHT NIGHT Sugiyanto, Joko; Azkia, Muhammad Zukhruful; Wibisono, Muhammad Chairul; Winata, Ardiya; Aranski, Alvendo Wahyu
JURNAL SITEBA Vol. 3 No. 2 (2025): Jurnal Sistem Informasi ITEBA
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/siteba.v3i2.682

Abstract

Tata kelola teknologi informasi menjadi elemen penting dalam memastikan keselarasan antara strategi teknologi dan tujuan bisnis perusahaan. Dalam konteks industri event olahraga bela diri, seperti yang dijalankan oleh Ranger Fight Night (RFN) di Batam, pengelolaan informasi yang efektif berperan penting dalam mendukung operasional yang mencakup penjualan tiket, manajemen petarung, sponsorship, media sosial, hingga merchandise. Namun, RFN belum pernah melakukan penilaian tata kelola TI secara menyeluruh, sehingga muncul berbagai kendala seperti belum terstandarisasinya pengelolaan data penonton, informasi petarung, serta transparansi laporan sponsor. Untuk itu, dilakukan analisis tata kelola TI dengan mengacu pada kerangka kerja COBIT 2019, khususnya melalui pendekatan Governance System Design Workflow. Pendekatan ini bertujuan untuk mengidentifikasi kesenjangan pengelolaan TI saat ini dan menyusun rekomendasi perbaikan yang selaras dengan strategi bisnis RFN, agar mampu meningkatkan efisiensi operasional dan daya saing di industri olahraga bela diri yang semakin kompetitif.
Design and Implementation of an IoT-Based Low-Emission Mobile Plastic Melting Machine for Sustainable Paving Block Production in Batam City Lawi, Ansarullah; Aranski, Alvendo Wahyu; Burhan, Rifa’atul Mahmudah; Hernando, Luki; Aritonang, Muhammad Adi Setiawan; Dermawan, Aulia Agung; Kurniawan, Dwi Ely; Leman, Abdul Mutalib
Journal of Applied Informatics and Computing Vol. 10 No. 1 (2026): February 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i1.12044

Abstract

Plastic waste accumulation poses a severe environmental burden, particularly in urban and archipelagic regions where centralized treatment infrastructure is limited. While thermal processing offers a pathway for volume reduction and material recovery, inadequate temperature control frequently leads to uncontrolled combustion and the formation of hazardous air pollutants. This study addresses this gap by developing and experimentally validating a low-emission, IoT-enabled mobile plastic melting system designed for decentralized paving block production. The proposed system integrates real-time thermal sensing using a K-type thermocouple and an ESP32-based controller with a compact three-nozzle water spray filtration unit. The control architecture maintains the melting process at approximately 270 °C, thereby preserving polymer viscosity for molding while preventing temperature excursions beyond 300 °C that may initiate combustion and toxic by-product formation. The filtration module operates as a simplified wet scrubber, capturing airborne particulates and simultaneously cooling the exhaust stream. Experimental evaluations confirm that the integrated control–filtration framework achieves stable thermal regulation and substantial suppression of visible exhaust emissions. Under these conditions, molten plastic was consistently transformed into dense paving blocks with smooth surface morphology and without evidence of polymer degradation or charring. The results demonstrate that combining IoT-based thermal governance with low-cost water-spray emission control provides an effective and scalable alternative to open burning for community-level plastic waste recycling. This mobile platform enables environmentally safer conversion of plastic waste into value-added construction materials, offering a practical pathway toward decentralized circular-economy implementation in resource-constrained regions.
Evaluasi Dampak Sosial Program Pengembangan UMKM XYZ melalui Pendekatan Social Return on Investment (SROI) Lawi, Ansarullah; Hutagalung, Deria Moti; Dermawan, Aulia Agung; Bora, M. Ansyar; Aranski, Alvendo Wahyu; Munir, Zainul; Adi, Roni
Jurnal SOLMA Vol. 15 No. 1 (2026)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v15i1.20215

Abstract

Background: UMKM Batik di Batam menghadapi tantangan dalam kapasitas produksi, pemanfaatan teknologi, dan pemasaran produk, yang menghambat daya saing mereka. Program Pengembangan UMKM XYZ oleh PT PLN Batam bertujuan untuk memberdayakan pengrajin batik dengan memberikan dukungan peralatan, pelatihan, dan integrasi pemasaran digital, yang merupakan pendekatan baru untuk memperluas pasar produk batik Batam secara lebih efektif. Penelitian ini bertujuan untuk mengevaluasi dampak ekonomi dan sosial dari Program Pengembangan UMKM XYZ menggunakan pendekatan Social Return on Investment (SROI). Metode: Data dikumpulkan melalui observasi lapangan, wawancara, dan analisis SROI untuk mengukur dampak sosial dan ekonomi dari investasi yang diberikan PT PLN Batam. Hasil: Program ini menghasilkan nilai SROI sebesar 1,13, yang berarti setiap Rp1 yang diinvestasikan memberikan manfaat sebesar Rp1,13. Program ini meningkatkan pendapatan pengrajin batik sebesar 30% dan meningkatkan keterampilan serta pemasaran digital mereka. Inovasi utama dalam program ini adalah penerapan pemasaran digital yang berhasil memperluas jangkauan pasar dan meningkatkan daya saing UMKM XYZ, dengan dampak positif pada aspek ekonomi dan sosial. Kesimpulan: Program ini menunjukkan efektivitas intervensi dalam pemberdayaan UMKM, namun perlu ada pelatihan lanjutan dan pengembangan jaringan pasar untuk keberlanjutan dampaknya.
Prediction of Potential Fishing Zones Using K-Means Clustering and Random Forest in Batam Waters Sarah Astiti; Alvendo Wahyu Aranski; Darmansah
JUITA: Jurnal Informatika JUITA Vol. 14 Issue 1, March 2026
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v14i1.29679

Abstract

Identification of potential fishing zones remains a significant challenge in fisheries management, particularly in coastal and island waters characterized by high spatial and temporal environmental variability. In Batam waters, fishing activities are still dominated by fishermen's experience and heuristic judgment, while existing studies often focus on a single prediction model or limited environmental parameters. This indicates a research gap, namely the lack of an integrated framework that simultaneously captures environmental heterogeneity and improves prediction accuracy using a data-driven approach. To address this gap, this study proposes a hybrid data mining framework that explicitly integrates unsupervised environmental zoning and supervised classification for predicting fishing potential. Weather and oceanographic variables—including sea surface temperature, chlorophyll-a concentration, wind speed, ocean current speed, and salinity—are used in conjunction with historical fish catch data. K-Means clustering is first used to identify homogeneous marine environmental zones, which are then incorporated as contextual features into a Random Forest classification model. Model performance is then evaluated using accuracy, precision, recall, F1 score, and confusion matrix analysis. The results show that the proposed hybrid approach achieves an accuracy of 89.2% and an F1 score of 89.1%, representing a quantitative improvement of approximately 5.6% in accuracy and 5.0% in F1 score compared to the baseline Random Forest model without clustering. This comparison clearly demonstrates that the integration of clustering information significantly improves classification performance. Furthermore, feature importance analysis confirms that sea surface temperature and chlorophyll-a concentration are the most influential predictors, while cluster labels contribute indirectly by improving the model's contextual understanding of complex environmental conditions. The novelty of this research is articulated through the integration of unsupervised marine environmental zoning with supervised machine learning in a local fisheries context, which allows for improved predictive performance and enhanced model interpretability. Unlike conventional approaches that treat environmental variables independently, the proposed framework captures multidimensional environmental interactions in a structured manner. The implications of these findings are profound. The proposed model can support data-driven decision-making for fishermen by reducing search time and operational costs, while providing a scientific basis for fisheries managers for spatial planning and sustainable resource management. Therefore, this research contributes both methodologically and practically to the advancement of intelligent fisheries prediction systems in dynamic coastal environments such as Batam waters.
Pelatihan aplikasi figma untuk meningkatkan kreativitas guru dalam penggunaan media pembelajaran di SD Islam Nabilah Nadia Widari Nasution; Fidya Farasalsabila; Dely Indah Sari; I Made Sondra Wijaya; Alvendo Wahyu Aranski; Rifa’atul Mahmudah Burhan; Zainul Munir; Regi Mayangsari; Syahelma Fithri
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 10, No 3 (2026): June
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v10i3.39352

Abstract

AbstrakPerkembangan teknologi menuntut guru untuk lebih inovatif dalam merancang media pembelajaran yang menarik bagi siswa. Namun, kendala teknis dan keterbatasan keterampilan desain seringkali menjadi hambatan. Pelatihan ini bertujuan untuk meningkatkan kreativitas guru di SD Islam Nabilah dalam mengembangkan media pembelajaran berbasis digital menggunakan aplikasi Figma. Metode yang digunakan adalah pelatihan partisipatif, meliputi pemaparan materi, demonstrasi, dan pendampingan praktik langsung pembuatan desain media ajar. Hasil kegiatan menunjukkan adanya peningkatan pemahaman dan keterampilan teknis para guru dalam mengoperasikan fitur-fitur Figma untuk merancang visual yang interaktif, seperti Game Interaktif. Evaluasi pasca-pelatihan membuktikan bahwa aplikasi Figma sangat efektif digunakan untuk menciptakan variasi media pembelajaran, sehingga antusiasme dan kreativitas guru dalam mengajar mengalami peningkatan yang signifikan menjadi 85,6%. Kata Kunci: figma; game interaktif; kreativitas guru; pelatihan; media pembelajaran AbstractTechnological developments require teachers to be more innovative in designing engaging learning media for students. However, technical constraints and limited design skills often pose obstacles. This training aims to enhance the creativity of teachers at Nabilah Islamic Elementary School in developing digital-based learning media using the Figma application. The method used was participatory training, including material presentation, demonstrations, and hands-on assistance in designing teaching media. The results of the activity showed an increase in teachers' understanding and technical skills in operating Figma features to design interactive visuals, such as Interactive Games. Post-training evaluations proved that the Figma application was very effective in creating a variety of learning media, so that teachers' enthusiasm and creativity in teaching experienced a significant increase to 85.6%. Keywords: figma; interactive games; teacher creativity; training; learning media
FINITE STATE AUTOMATA DAN LOGIKA FUZZY DALAM PEMILIHAN PAKET PELAMINAN DI KOTA BATAM Koko Handoko; Alvendo Wahyu Aranski
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 2 No. 2 (2019): Jurnal Teknologi dan Open Source, December 2019
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v2i2.285

Abstract

Marriage is something that is highly desirable for every potential partner in life. Marriage is considered a sacred activity so it needs to be well planned and mature. The growing development of a business in Batam city makes this business mushrooming because it is definitely needed by every couple who will get married. The availability of a wedding package helps each couple to choose an existing package, both in terms of price, type of tent to be used, number of clothes, and wedding photographer services. In this study, researchers conducted a determination of the problem in the form of a wedding package selection, looking for literature in accordance with the problems in the form of books and journals, analysis with fuzzy logic with the Mamdani method to complete the exact calculations so that prospective brides who will choose the aids package can choose the package that in accordance with the wishes and budget provided. The use of fuzzy logic and the Mamdani method will be assisted by Finite State Automata in making the rule design of fuzzy logic. Output targets achieved in the form of analysis of the determination of the package in the form of fuzzy logic calculations, system design from the analysis stage, retrieval of real data from each aisle in the city of Batam, and the target in the first year in the form of a determination package relevant to every wedding in the city of Batam.
DATA MINING DALAM PENGELOMPOKAN NILAI IQ SISWA Alvendo Wahyu Aranski; Koko Handoko
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 2 No. 2 (2019): Jurnal Teknologi dan Open Source, December 2019
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v2i2.347

Abstract

Education is one aspect of life that should be owned by every human being. The most crucial times for education is during school. During school, students will start from kindergarten until finally graduating at the high school level. One aspect that is highly considered during school is the level of intelligence. Intelligence levels are often associated with IQ levels. According to research, a person's IQ level becomes a benchmark on the level of intelligence of that person. The level of intelligence can affect the lives of students in receiving lessons so well that the school should properly classify students. Grouping students based on IQ level aims that students can receive more appropriate and effective learning methods so that students can receive lessons well. At Yos Sudarso Highschool at Batam, there are a lot of students who enroll and grouping students will take a lot of time and is not efficient if done manually. Grouping students can be done quickly and precisely by utilizing data mining. One method in data mining is clustering by using K-means. The stages of this method begin with random selection K, K here is the number of clusters that you want to form. Then set K values ​​randomly, while the value becomes the center of the cluster or commonly referred to as centroid, mean or "means". Calculating the distance of each existing data on each centroid using the Euclidian formula to find the closest distance from each data with the centroid after the manual calculation is run on the data mining software, RapidMiner. The use of the K-means method for grouping is one of the right methods when viewed from the variables to be used, namely the value of the student's IQ level. This ¬K-means method will form clusters that classify students based on IQ levels. By applying data mining clustering with the K-means method it is hoped that it can help the school in classifying students appropriately so as to facilitate the school in ensuring students get the right learning method.
EVALUASI DAN IMPLEMENTASI TATA KELOLA TI MENGGUNAKAN COBIT 2019 (STUDI KASUS PADA KEDAI KOPI SAHABAT KECIL) Hasla, Salsabila Dwi Putri; Ramadona, Tri Suci; Bilbina, Andhin Nabila; Mielanda, Ezzy; Situmorang, Deslika; Aranski, Alvendo Wahyu
JURNAL SITEBA Vol. 3 No. 1 (2025): Jurnal Sistem Informasi ITEBA
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/9g4k2m48

Abstract

Penggunaan teknologi informasi (TI) dalam usaha mikro, kecil, dan menengah (UMKM) dapat meningkatkan efisiensi operasional dan keamanan data. Namun, masih banyak UMKM seperti Kedai Kopi Sahabat Kecil yang belum memiliki tata kelola TI yang terstruktur dan masih menggunakan sistem pencatatan manual. Penelitian ini bertujuan untuk mengevaluasi tata kelola TI pada UMKM tersebut menggunakan pendekatan COBIT 2019. Metode yang digunakan adalah deskriptif kualitatif dengan teknik observasi dan wawancara. Evaluasi dilakukan dengan menganalisis 10 Design Factor (DF1–DF10), yang kemudian dipetakan ke dalam domain COBIT 2019. Hasil analisis menunjukkan bahwa empat domain memiliki nilai prioritas tertinggi, yaitu APO12 (Manage Risk), APO13 (Manage Security), BAI10 (Manage Configuration), dan DSS04 (Manage Continuity). Rekomendasi perbaikan mencakup digitalisasi sistem POS, pelatihan staf, penyusunan SOP, dan penguatan keamanan data. Penelitian ini menunjukkan bahwa framework COBIT 2019 efektif digunakan dalam konteks UMKM untuk menyusun strategi tata kelola TI yang lebih terarah dan sesuai kebutuhan.
Pengembangan Framework Deep Learning Berbasis ResNet50V2 untuk Klasifikasi Lumpy Skin Disease pada Sapi Menggunakan Citra Digital Farasalsabila, Fidya; Arnomo, Sasa Ani; Aranski, Alvendo Wahyu; Alhamidi; Jabnabillah, Faradiba; Burhan, Rifa’atul Mahmudah; Noviardi, Refli; Althaaf, Muhammad Nabiil
JURNAL SITEBA Vol. 4 No. 1 (2026): Jurnal Sistem Informasi ITEBA
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/shaw4509

Abstract

Penyakit Kulit Lumpy pada sapi dikenal sebagai risiko utama bagi produksi ternak dan berdampak besar terhadap kesejahteraan mata pencaharian dan ketahanan pangan khususnya bagi negara Indonesia. Saat ini pendeteksian penyakit kulit di negara kita umumnya dinilai secara manual. Namun, evaluasi manual membutuhkan banyak waktu dan membutuhkan orang-orang profesional yang berpengalaman dan terlatih, sehingga biasanya membutuhkan biayanya cukup tinggi. Pada penelitian ini dibangun model deteksi penyakit kulit Lumpy pada sapi menggunakan salah satu model Deep learning yakni Convolutional Neural Network (CNN). Kelas yang akan digunakan untuk mendeteksi dan mengklasifikasikan hewan berpenyakit kulit lumpy menjadi sehat dan sakit. Pengumpulan data tersebut dikumpulkan dari situs internet kaggle. Dari total 1364 dataset citra, 80% digunakan untuk pelatihan, 10% untuk validasi dan 10% untuk pengujian. Hasil eksperimen menunjukkan bahwa arsitektur terbaik untuk klasifikasi penyakit kulit lumpy pada sapi adalah Proposed Lumy ResNet50v2 dengan akurasi 94.85%, presisi 94%, Recall 94%, dan F1 Score 95%. Kemudian diikuti oleh arsitektur NASNetMobile dengan nilai akurasi 92.65%, Xception dan ResNet50v2 dengan akurasi 91,18% dan VGG19 dengan akurasi sebesari 90,44%.
FROM WASTE TO WORTH: PELATIHAN TRANSFORMASI SAMPAH RUMAH TANGGA UNTUK MENCAPAI KEBERLANJUTAN DI KELURAHAN TEMBESI KOTA BATAM Alvendo Wahyu Aranski; Dimas Akmarul Putera; Aulia Agung Dermawan; Hery Sunarsono; Muhammad Jufri; Hendri Kremer; Naufal Indra Lesmana; Suci Dwi Maharani
Jurnal Pengabdian Barelang Vol 6 No 2 (2024): Jurnal Pengabdian Barelang
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jpb.v6i2.8847

Abstract

Terbatasnya tempat penampungan sampah yang ada di kota Batam menjadi sebuah masalah serius yang harus segera diatasi. Diprediksi ditahun 2035, tempat pembuangan akhir (TPA) yang ada di Punggur, tidak mampu lagi menampung sampah yang dibawa kesana. Dalam menjaga dan melestarikan lingkungan, diperlukanlah suatu metode atau tatanan hidup baru dimana setiap individu mampu membuat keberlangsungan dari sampah yang dihasilkan. Sudah banyak kegiatan pengabdian dan program pemerintah untuk mengatur dan mengelola sampah. Salah satunya adalah dengan diadakannya bank sampah. Namun juga ada cara yang lebih menarik lagi dan memiliki nilai jual dari kegiatan pengolahan sampah. Dengan mengolah sampah sisa makanan yang dihasilkan menjadi pupuk organik cair dan kompos, dapat membantu pemerintah khususnya warga Batam dalam memanfaatkan kembali apa yang sudah dihasilkan untuk kegunaan lain. Dengan dihasilkannya pupuk dari sampah yang sudah dihasilkan, diharapkan kedepannya dapat mengurangi jumlah tumbukan sampah yang akan dibuang ke TPA. Program ini dapat menjadi salah satu usaha bagi warga yang mau dan bersedia dalam menekuni kegiatan ini. Kegiatan ini diharapkan juga dapat menumbuhkan kesadaran dan kepedulian warga terhadap masalah sampah yang sewaktu-waktu bisa menjadi musibah bagi warga juga
Co-Authors Abrar, Mohammad Masril Adi, Roni Ahmad Rizky Saputra Alhamidi Althaaf, Muhammad Nabiil Andi Supriadi Chan, Andi Supriadi Andri Yunaldi Ardiansyah, Luky Aritonang, Muhammad Adi Setiawan Arnomo, Sasa Ani Aulia Agung Dermawan Azkia, Muhammad Zukhruful Bagus Andhika Tuah Aprilyana Malaka Bilbina, Andhin Nabila Burhan, Rifatul Mahmudah Burhan, Rifa’atul Mahmudah candra, joni eka Darmansah Darmansah, Darmansah Destiadi, Rezha Dimas Akmarul Putera Dwi Ely Kurniawan Ellbert Hutabri Fidya Farasalsabila Fidya Farasalsabila Franky Chia Handoko, Koko Hasibuan, Annalisa Sonaria Hasla, Salsabila Dwi Putri Hendri Kremer Hernando, Luki Hutagalung, Deria Moti Indah Sari, Dely Is Fadhilah Jabnabillah, Faradiba januardi nasir Kremer, Hendri Lawi, Ansarullah Leman, Abdul Mutalib Lesmana, Naufal Indra Machsun Mielanda, Ezzy Mohammad Jufri Muhammad Abrar Masril Muhammad Jufri munir, Zainul Munir Nadia Widari Nasution Naufal Indra Lesmana Nopriadi Nopriadi Noviardi, Refli Putra, Riko Andrian Rafi Dio Rahmat Fauzi Rahmat Fauzi Ramadona, Tri Suci Regi Mayangsari Rifa’atul Mahmudah Burhan Ririt Dwiputri Permatasari Rizki, Sestri Novia Sarah Astiti S.Kom., M.MT Sestri Novia Rizki Situmorang, Deslika Sondra Wijaya, I Made Suci Dwi Maharani Sugiyanto, Joko Sunarsono, Hery Supardi Syahelma Fithri Wibisono, Muhammad Chairul Winata, Ardiya Yasha Langitta Setiawan Yunaldi, Andri