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All Journal Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Bumigora Information Technology (BITe) Jurnal Informatika Teknologi dan Sains (Jinteks)
Bachtiar, Adam
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Mathematics Physics Other

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RANCANG BANGUN APLIKASI DIAGNOSIS KERUSAKAN MESIN PHOTOCOPY DENGAN MENGGUNAKAN METODE DEMPSTER SHAFER DI SISWA FOTOCOPY & PRINTING KOTA BLITAR Bachtiar, Adam; Lestanti, Sri; Nur Budiman, Saiful
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 8 No. 3 (2024): JATI Vol. 8 No. 3
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v8i3.9434

Abstract

Mesin photocopy adalah perangkat penting dalam berbagai lingkungan kerja. Namun, kerusakan yang tidak terduga dapat menyebabkan gangguan operasional yang signifikan dan biaya perbaikan yang tinggi. Dalam konteks ini, pengembangan aplikasi diagnosis kerusakan mesin photocopy menjadi krusial untuk meningkatkan efisiensi pemeliharaan dan kinerja perangkat. Metode Dempster-Shafer adalah salah satu pendekatan yang menjanjikan dalam mengatasi ketidakpastian dalam diagnosis. Tujuan utama dari penelitian ini adalah merancang dan mengembangkan sebuah aplikasi berbasis metode Dempster-Shafer untuk diagnosis kerusakan mesin photocopy. Aplikasi ini bertujuan untuk memberikan diagnosis yang seakurat mungkin dan dapat diandalkan terhadap kerusakan-kerusakan yang umum terjadi pada mesin photocopy. Penelitian ini menggunakan metode pengumpulan data mengenai kerusakan mesin photocopy, mengidentifikasi berbagai indikator kerusakan, serta memanfaatkan teori Dempster-Shafer untuk menggabungkan bukti-bukti dan memberikan diagnosis. Aplikasi ini dikembangkan menggunakan bahasa pemrograman tertentu dan dilengkapi dengan antarmuka pengguna yang mudah digunakan. Hasil dari penelitian ini adalah aplikasi diagnosis kerusakan mesin photocopy yang mampu memberikan diagnosis dengan tingkat akurasi yang signifikan. Aplikasi ini dapat mengidentifikasi kerusakan mesin photocopy dengan mempertimbangkan berbagai indikator dan meminimalkan tingkat ketidakpastian. Pengujian aplikasi ini telah menunjukkan hasil yang menggembirakan dalam memberikan diagnosis yang tepat. Pengujian alpha testing telah dilakukan untuk mengevaluasi fungsionalitas dasar dan kelayakan aplikasi sebelum dirilis secara luas. Penelitian ini berhasil merancang dan mengembangkan aplikasi diagnosis kerusakan mesin photocopy berdasarkan metode Dempster-Shafer. Aplikasi ini memiliki potensi besar untuk meningkatkan pemeliharaan mesin photocopy, mengurangi biaya perbaikan yang tidak perlu, dan meningkatkan efisiensi operasional. Dengan demikian, aplikasi ini dapat menjadi alat yang sangat berharga dalam konteks pemeliharaan mesin photocopy di berbagai lingkungan kerja.
Monitoring Konsumsi Listrik Rumah Tangga Berbasis Internet of Things Terintegrasi dengan Virtual Private Server Radhitya, I Made Surya; Hadi, Sirojul; Bachtiar, Adam
Jurnal Bumigora Information Technology (BITe) Vol 3 No 1 (2021)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v3i1.1326

Abstract

Most household appliances use electricity as their energy. The need for electricity from year to year is getting bigger. Measurement of electrical power usage is usually done using simple measuring instruments and recording is still manual so that the data obtained cannot be done all the time and the results take too long to obtain. The appropriate technology for this problem is the Internet of Things (IoT) based electrical power monitoring system technology. capable of providing accurate and real-time results. The methods carried out are arranged in several stages, starting from data collection, design, configuration, implementation. The tools used in this research will use NodeMCU as the microcontroller, ACS712 current sensor as the electric current sensor, Virtual Private Server (VPS) as the web server. The results of this study are an electrical power monitoring system that makes it easier to monitor electrical power at home. The accuracy of power measurement by the system is 92.87%. Based on the error value, the electricity consumption monitoring system is good enough to be implemented at home.
PENERAPAN DAN PENGEMBANGAN PERANGKAT PEMBELAJARAN MATA KULIAH ADMINISTRASI BASIS DATA BERBASIS REPLIT Yunanti, Yastry; Bachtiar, Adam; Ramdani, Fitri; Indriaturrahmi, Indriaturrahmi
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 3 (2025): EDISI 25
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i3.6050

Abstract

Perkembangan teknologi telah masuk ke dalam sektor pendidikan untuk menjadikan proses belajar lebih fleksibel dan interaktif. Studi ini bertujuan untuk mengembangkan perangkat pembelajaran berbasis Replit bagi mahasiswa semester IV di PTI Undikma, untuk memfasilitasi pembelajaran praktik yang fleksibel dan berbasis kelompok. Proses penelitian menggunakan pendekatan Research and Development (R&D) dengan model ADDIE (Analysis, Design, Development, Implementation, Evaluation). Hasil penelitian menunjukkan bahwa perangkat pembelajaran ini mendapatkan validasi sebesar 100% dari segi materi, tata cara penyampaian, dan kemudahan pemahaman, dengan dua indikator netral sebesar 20%. Respon dosen menunjukkan tingkat kepuasan yang tinggi terkait fleksibilitas, efisiensi, dan efektivitas pembelajaran. Umpan balik dari mahasiswa juga sangat positif, dengan lebih dari 90% menilai perangkat ini mempermudah proses belajar melalui fitur coding real-time, kolaborasi langsung, dan pembelajaran berbasis praktik tanpa instalasi tambahan. Perangkat ini bermanfaat dalam meningkatkan pembelajaran interaktif. Namun, disarankan untuk menyesuaikan latihan agar lebih kontekstual dan menyediakan bantuan teknis kepada dosen guna memastikan pemanfaatan perangkat secara maksimal.
Monitoring Konsumsi Listrik Rumah Tangga Berbasis Internet of Things Terintegrasi dengan Virtual Private Server: Household Electricity Consumption Monitoring Based Internet of Things Integration with Virtual Private Server Radhitya, I Made Surya; Hadi, Sirojul; Bachtiar, Adam
Jurnal Bumigora Information Technology (BITe) Vol. 3 No. 1 (2021)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v3i1.1326

Abstract

Most household appliances use electricity as their energy. The need for electricity from year to year is getting bigger. Measurement of electrical power usage is usually done using simple measuring instruments and recording is still manual so that the data obtained cannot be done all the time and the results take too long to obtain. The appropriate technology for this problem is the Internet of Things (IoT) based electrical power monitoring system technology. capable of providing accurate and real-time results. The methods carried out are arranged in several stages, starting from data collection, design, configuration, implementation. The tools used in this research will use NodeMCU as the microcontroller, ACS712 current sensor as the electric current sensor, Virtual Private Server (VPS) as the web server. The results of this study are an electrical power monitoring system that makes it easier to monitor electrical power at home. The accuracy of power measurement by the system is 92.87%. Based on the error value, the electricity consumption monitoring system is good enough to be implemented at home.
Zero-Shot Sentiment Analysis on Student Feedback: A Comparative Study of Multilingual and Translate-Test Approaches in Indonesian Higher Education Bachtiar, Adam; Rizal, Ahmad Ashril; Addhiny, Tuning Ridha
Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika Vol. 9 No. 3 (2025): November
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/e-saintika.v9i3.4002

Abstract

The evaluation of academic services in Indonesian higher education is often hindered by the scarcity of labeled datasets (cold start problem) and the complexity of culturally implicit feedback. This study evaluates the efficacy of Zero-Shot Classification by benchmarking two distinct inference paradigms: the Direct Multilingual approach (XLM-RoBERTa-large-xnli) and the Translate-Test approach (Facebook/BART-large-mnli). Using a dataset of 280 student reviews validated by human annotators ( =0.844), the research reveals a significant performance trade-off. While XLM-RoBERTa greater robustness in maintaining global performance equilibrium (Macro F1-Score: 0.67), it exhibits a pronounced ‘Politeness Bias’, frequently failing to detect negative reviews masked by courteous language (Recall: 0.48). Conversely, the Translate-Test approach (BART) shows higher sensitivity in capturing negative sentiments (Recall: 0.77). Qualitative analysis suggests that the translation process potentially functions as a dual-mechanism: acting as a cultural decontextualization filter that isolates implicit criticism and a denoising layer that normalizes informal slang and typographical errors. However, this enhanced sensitivity results in an approximate 2.6x increase in computational latency and weaker neutral class detection. These findings indicate that while XLM-RoBERTa offers balanced generalization for broad analysis, the Translate-Test strategy is highly effective for accurately uncovering latent student grievances obscured by local linguistic styles.
Zero-Shot Sentiment Analysis on Student Feedback: A Comparative Study of Multilingual and Translate-Test Approaches in Indonesian Higher Education Bachtiar, Adam; Rizal, Ahmad Ashril; Addhiny, Tuning Ridha
Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika Vol. 9 No. 3 (2025): November
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/e-saintika.v9i3.4002

Abstract

The evaluation of academic services in Indonesian higher education is often hindered by the scarcity of labeled datasets (cold start problem) and the complexity of culturally implicit feedback. This study evaluates the efficacy of Zero-Shot Classification by benchmarking two distinct inference paradigms: the Direct Multilingual approach (XLM-RoBERTa-large-xnli) and the Translate-Test approach (Facebook/BART-large-mnli). Using a dataset of 280 student reviews validated by human annotators ( =0.844), the research reveals a significant performance trade-off. While XLM-RoBERTa greater robustness in maintaining global performance equilibrium (Macro F1-Score: 0.67), it exhibits a pronounced ‘Politeness Bias’, frequently failing to detect negative reviews masked by courteous language (Recall: 0.48). Conversely, the Translate-Test approach (BART) shows higher sensitivity in capturing negative sentiments (Recall: 0.77). Qualitative analysis suggests that the translation process potentially functions as a dual-mechanism: acting as a cultural decontextualization filter that isolates implicit criticism and a denoising layer that normalizes informal slang and typographical errors. However, this enhanced sensitivity results in an approximate 2.6x increase in computational latency and weaker neutral class detection. These findings indicate that while XLM-RoBERTa offers balanced generalization for broad analysis, the Translate-Test strategy is highly effective for accurately uncovering latent student grievances obscured by local linguistic styles.
Co-Authors Addhiny, Tuning Ridha Indriaturrahmi, Indriaturrahmi Lestanti, Sri Nur Budiman, Saiful Radhitya, I Made Surya Ramdani, Fitri Rizal, Ahmad Ashril Sirojul Hadi Yunanti, Yastry