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Pemanfaatan Sistem Informasi Akademik dan Media Video Pembelajaran Sebagai Penunjang Kinerja Guru Belluano, Poetri Lestari Lokapitasari; Faradibah, Amalia; Saiman, La; AR, Fatimah; Kasmira, Kasmira
Jurnal Pengabdian Masyarakat Ilmu Terapan (JPMIT) Vol 3, No 2 (2021)
Publisher : Vokasi Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1161.37 KB) | DOI: 10.33772/jpmit.v3i2.22640

Abstract

Academic Information System (xSIA) is a system that has one function to manage student data so as to provide convenience for teachers as the main users in recording the final grades of student learning outcomes each semester. The PKM program for teacher partners also provides technical training using the Snagit application to find out learning video material as an alternative method so that it can support teacher performance in the online teaching process. So that the Learning From Home (LFH) or Distance Learning Method can be implemented by school teachers at SDN No.133 Pari'risi Takalar. The training model applied uses the Preceptorship and Participatory training model. while the design phase of the application model used by Prototyping to graphically represent the workflow of the system. The objectives of this research are: 1) The existence of a web-based academic information system application, namely xSIA to report student assessments and application video tutorials. 2) Output in the form of the ILKOM Scientific Journal for the 2021 period UMI Computer Architecture or other Accredited journals. And 3) enrichment of teaching materials in Software Engineering courses.
Strategi Pemerintah Dalam Pembangunan Infrastruktur Jalan Di Kabupaten Gowa Kasmira, Kasmira; Alyas, Alyas; Sudarmi, Sudarmi
Kajian Ilmiah Mahasiswa Administrasi Publik (KIMAP) Vol 1, No 3 (2020): Desember 2020
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/kimap.v1i3.3737

Abstract

This is study purposed to find out the government’s strategy in the construction of road infrastructure in Gowa Regency. This study used qualitative descriptive study, while data collection techniques used observation, interviews and documentation. This study consisted of 5 informants were head of Highways, Section for Road Development/Improvement, Road and Bridge Maintenance Section, and 2 people/road users. Data Sources used primary and secondary data, data analysis techniques with data reduction, data presentation and verification. The data validation used source triangulation, technique triangulation, and time triangulation. The result of this study showed thhat the government Strategy in the development of Road Infrastructure in Gowa Regency had been run well because in terms of human resources, effectiveness, objectives were maximally appropriate without waste (not wasting time, energy, cost) able to carry out tasks correctly and accurately. Although it had not run optimally due to constraint that often accured, namely the delayed budget/cost, so the implementation of road construction or maintenance was still less efficient.
Kajian Teknologi dan Metode Penambangan Ramah Lingkungan untuk Sumber Daya Mineral yang Tidak Terbarukan kasmira, kasmira
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 3 (2025): Agustus - October
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i3.3192

Abstract

Industri pertambangan memiliki peran yang sangat penting dalam perekonomian global dengan menyuplai bahan baku bagi berbagai sektor industri. Namun, kegiatan pertambangan, khususnya untuk sumber daya mineral yang tidak terbarukan seperti batu bara dan logam mulia, menimbulkan dampak negatif yang signifikan terhadap lingkungan, termasuk degradasi lahan, pencemaran air, dan kerusakan ekosistem. Oleh karena itu, pengembangan teknologi dan metode penambangan yang ramah lingkungan menjadi sangat penting untuk meminimalkan dampak tersebut, sambil tetap mempertahankan keberlanjutan produksi mineral. Penelitian ini bertujuan untuk mengkaji berbagai teknologi dan metode penambangan yang ramah lingkungan, serta efektivitasnya dalam mengurangi dampak negatif terhadap lingkungan. Penelitian ini menggunakan pendekatan kualitatif dengan metode pengumpulan data melalui studi literatur, wawancara dengan ahli, serta observasi lapangan pada lokasi penambangan yang telah menerapkan teknologi ramah lingkungan. Hasil penelitian menunjukkan bahwa beberapa teknologi seperti penambangan bawah tanah dan penggunaan sistem hidro-metalurgi terbukti dapat mengurangi kerusakan lingkungan. Penambangan bawah tanah dapat mengurangi degradasi lahan dan kerusakan vegetasi, sementara hidro-metalurgi menawarkan solusi yang lebih efisien dengan menghasilkan limbah yang lebih sedikit dibandingkan metode konvensional. Meskipun demikian, penerapan teknologi ini menghadapi sejumlah tantangan, seperti biaya investasi yang tinggi, regulasi yang belum memadai, serta kurangnya pengetahuan dan keahlian di lapangan. Oleh karena itu, disarankan agar pemerintah memberikan insentif kepada perusahaan pertambangan yang mengimplementasikan teknologi ramah lingkungan, serta meningkatkan kapasitas sumber daya manusia melalui pelatihan dan pendidikan.
Pemanfaatan Teknologi Sensor untuk Meningkatkan Keamanan Kerja pada Operasi Tambang Bawah Tanah Kasmira, Kasmira
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 3 (2025): Agustus - October
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i3.3193

Abstract

Penelitian ini mengevaluasi efektivitas pemanfaatan teknologi sensor untuk meningkatkan keamanan kerja pada operasi tambang bawah tanah dengan pendekatan deskriptif kuantitatif. observasi lapangan, studi dokumentasi (laporan keselamatan dan data kecelakaan), serta survei pekerja. Namun, meskipun teknologi sensor dapat membantu mengurangi risiko, masih diperlukan upaya lebih lanjut dalam hal pelatihan dan peningkatan kesadaran pekerja mengenai pentingnya penggunaan teknologi ini. Sistem monitoring yang terintegrasi perlu dikembangkan lebih lanjut untuk memastikan pemantauan yang lebih akurat dan efisien, serta integrasi dengan sistem peringatan dini yang lebih canggih. Selain itu, perlu adanya pelatihan rutin bagi pekerja dalam mengoperasikan sistem ini untuk memaksimalkan potensi teknologi dalam meningkatkan keselamatan kerja di tambang bawah tanah. Analisis meliputi statistik deskriptif, uji beda paparan (uji t berpasangan/Wilcoxon untuk TWA), dan pemodelan laju kejadian berbasis regresi hitung (Poisson/NegBin) dengan offset jam kerja. Implementasi sensor gas (terutama metana), suhu–kelembapan, getaran, dan tekanan yang terintegrasi dalam sistem monitoring dan peringatan dini berkorelasi dengan penurunan total kecelakaan ±35% (8→5 kasus) dan penurunan laju kecelakaan dari 6,589 menjadi 4,149 per 200.000 jam kerja. Waktu tanggap evakuasi membaik (≈6,0→≈4,2 menit), sementara kenaikan peringatan anomali getaran merefleksikan sensitivitas deteksi dini yang membantu pencegahan insiden. Temuan menegaskan peran kunci integrasi multi-sensor end-to-end untuk identifikasi bahaya real-time dan pengambilan keputusan cepat, disertai rekomendasi standardisasi pemantauan dan pelatihan berkelanjutan agar manfaat sistem optimal.
Implementation of Blockchain Technology to Improve Transparency and Accountability in the Mineral Supply Chain Kasmira, Kasmira
Journal of Tecnologia Quantica Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i5.2537

Abstract

This study analyzes the potential and challenges of implementing blockchain technology to enhance transparency, accountability, and traceability in mineral supply chains. Using a qualitative approach with case-study methods and thematic analysis of interviews, company reports, regulatory documents, and scientific literature, the study compares initiatives by several industry actors. The findings show that blockchain strengthens end?to?end provenance tracking, authenticity verification, compliance with environmental and ethical standards, and minimizes data manipulation and illicit trade practices. In addition, blockchain integration drives operational efficiency and inter?stakeholder trust through immutable, auditable transaction logs. However, adoption faces structural barriers in the form of regulatory uncertainty, limited digital infrastructure in developing countries, and organizational resistance to system change. This study recommends establishing clear regulatory frameworks, public–private collaboration, cross?platform data standardization, and capacity building including integration with IoT and digital identity to maximize blockchain’s impact on more sustainable and responsible governance of mineral supply chains.
The development of Web-based information system using quick UDP internet connection Lokapitasari Belluano, Poetri Lestari; Enrico Panggabean, Benny Leonard; Purnawansyah, Purnawansyah; Kasmira, Kasmira
ILKOM Jurnal Ilmiah Vol 14, No 3 (2022)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v14i3.1134.314-322

Abstract

The Academic Information System (xSIA) is built to its users to manage Study Program modules, including student academic grades. xSIA applying the Moodle Learning Management System (LMS) was developed by implementing Quick UDP Internet Connection (QUIC) technology with the HTTP/3 protocol which can demonstrate protocol transaction speed performance. The design of information systems and databases employs the Convention Over Configuration paradigm. The Prototyping Model is used to graphically represent the workflow of the system with an experimental research design. System modeling utilizes Unified Modeling Language (UML) tools, Data Base Management System (DBMS) using PostgreSQL, and UDP ports as a means of data communication. The implementation of Quick UDP Internet Connection (QUIC) on the xSIA moodle LMS is effective for real-time communications that do not require conditions to open, maintain, or terminate connections as in streaming video conference. It is also optimal because the UDP data is transferred individually and checked for its integrity upon arrival. When a video streaming transaction last 02:36 seconds with a file size of 4.1mb, there is a significant difference of 100.98ms in the waiting time to first byte (ttfb).
Analysis of the Ensemble Method Classifier's Performance on Handwritten Arabic Characters Dataset Manga', Abdul Rachman; Handayani, Anik Nur; Herwanto, Heru Wahyu; Asmara, Rosa Andrie; Sulistya, Yudha Islami; Kasmira, Kasmira
ILKOM Jurnal Ilmiah Vol 15, No 1 (2023)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v15i1.1357.186-192

Abstract

Arabic character handwriting is one of the patterns and characteristics of each person's writing. This characteristic makes Arabic writing more challenging if the letter recognition process is based on a dataset of Arabic scripts. This Arabic script has been presented in a dataset totaling 16800, each representing a class of hijaiyah letters starting from alif to yes, consisting of 600 data for each class. The accuracy of the data used can be increased using the ensemble method. By using multiple algorithms at simultaneously, the ensemble technique can raise the level or result of a score in machine learning. This study's primary goal is to evaluate the ensemble method classifier's performance on datasets of handwritten Arabic characters. The classifier uses the ensemble method by applying the proposed soft voting to provide a multiclass classification of three machine learning algorithms, namely, SVM, Random Forest, and Decision Tree for classification. This research process produces an accuracy value for the voting classifier of 0.988 and several other SVM algorithms with an accuracy of 0.103, a random forest with an accuracy of 1.0, and a decision tree with an accuracy of 0.134. The test results used the confusion matrix evaluation model, including accuracy, precision, recall, and f1-score of 0.99.
Development and Pilot Evaluation of Sensor-Based Environmental Monitoring and Green Technology Interventions for Pollution Reduction in Indonesian Mining Sites Idhan, Muh Arif; Kasmira, Kasmira
Jurnal IPTEK Bagi Masyarakat Vol 5 No 3 (2026)
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/j-ibm.v5i3.1622

Abstract

This study develops and pilot-tests an integrated package of environmentally friendly operational interventions and a sensor-based environmental monitoring system at two mining locations in Indonesia. The research used a pilot multiple-site case study over three months, combining field observation, document review, and repeated measurement of water, air, and soil quality indicators. The analytical focus was on descriptive before–after comparison and compliance-gap assessment, because the pilot dataset was limited to two sites and did not justify inferential statistics. The results show that PM2.5 declined from 58 to 41 µg/m³ at Mine Location A (29.3%) and from 65 to 55 µg/m³ at Mine Location B (15.4%) after intervention. However, several parameters remained above or below the required benchmarks, including turbidity (15–25 NTU versus ≤5 NTU), dissolved oxygen (3.8–4.5 mg/L versus ≥5 mg/L), arsenic (10–12 ppb versus ≤5 ppb), and soil organic matter (2.0–2.5% versus ≥3%). These findings indicate that the monitoring system is effective for early detection and operational feedback, whereas the green technology interventions produced only partial environmental improvement. The study contributes a practical framework for integrating site-level monitoring, threshold-based evaluation, and adaptive environmental management in Indonesia's mining sector. The main implication is that sensor deployment should be scaled together with stronger mine-water treatment, dust suppression, calibration routines, and compliance reporting requirements.
A Weighted Engineering Geological Framework for Evaluating Post-Mining Land Reclamation Suitability Based on Slope, Material Properties, and Drainage Kasmira, Kasmira; Idhan, Muh Arif
Jurnal IPTEK Bagi Masyarakat Vol 5 No 3 (2026)
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/j-ibm.v5i3.1623

Abstract

Post-mining reclamation often underperforms when land is considered ready for revegetation without prior engineering geological screening. This study develops and demonstrates a weighted engineering geological framework for evaluating reclamation suitability based on slope condition, material properties, and drainage performance. A descriptive-evaluative design was used by combining land-unit delineation, field observation parameters, basic geotechnical indicators, drainage appraisal, and weighted scoring. To transparently demonstrate the analytical model, simulated but technically plausible data were assigned to four engineering geological zones. The model weights slope at 40%, material properties at 35%, and drainage at 25%. The resulting suitability scores classify Zone A as very suitable (87.2), Zone B as moderately suitable (72.6), Zone C as conditionally suitable (56.9), and Zone D as unsuitable (41.6). The novelty of the study lies in operationalizing slope, material, and drainage variables into a transparent zone-based suitability score, and in positioning engineering geology as the first diagnostic layer of reclamation planning rather than a post-planting correction. The framework helps identify dominant limiting factors and supports staged interventions such as regrading, drainage rehabilitation, material improvement, and phased revegetation. The model is suitable as a pre-screening tool and should be calibrated with site-specific field data in future applications.